<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "journalpublishing3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en" article-type="research-article">
<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MI</journal-id>
<journal-title-group>
<journal-title>Medicine International</journal-title>
</journal-title-group>
<issn pub-type="ppub">2754-3242</issn>
<issn pub-type="epub">2754-1304</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">MI-4-5-00176</article-id>
<article-id pub-id-type="doi">10.3892/mi.2024.176</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Cardiovascular risk markers (computed tomography‑coronary artery calcium and carotid intima‑media thickness) in patients with rheumatoid arthritis and controls</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Fatima</surname><given-names>Jalees</given-names></name>
<xref rid="af1-MI-4-5-00176" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shukla</surname><given-names>Vaibhav</given-names></name>
<xref rid="af1-MI-4-5-00176" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Siddiqi</surname><given-names>Zeba</given-names></name>
<xref rid="af1-MI-4-5-00176" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shamsi</surname><given-names>Mohammad Zakariya</given-names></name>
<xref rid="af2-MI-4-5-00176" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Mateen</surname><given-names>Saboor</given-names></name>
<xref rid="af1-MI-4-5-00176" ref-type="aff">1</xref>
<xref rid="c1-MI-4-5-00176" ref-type="corresp"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jabbar</surname><given-names>Aaliya Abdul</given-names></name>
<xref rid="af1-MI-4-5-00176" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Usmani</surname><given-names>Zeenat</given-names></name>
<xref rid="af1-MI-4-5-00176" ref-type="aff">1</xref>
</contrib>
</contrib-group>
<aff id="af1-MI-4-5-00176"><label>1</label>Department of Medicine, Era's Lucknow Medical College and Hospital, Lucknow, Uttar Pradesh 226003, India</aff>
<aff id="af2-MI-4-5-00176"><label>2</label>Department of Cardiology, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan 302022, India</aff>
<author-notes>
<corresp id="c1-MI-4-5-00176"><italic>Correspondence to:</italic> Dr Saboor Mateen, Department of Medicine, Era's Lucknow Medical College and Hospital, Sarfarazganj, Hardoi Road, Lucknow, Uttar Pradesh 226003, India <email>mateensaboor@icloud.com sxsjhzj@163.com </email></corresp>
</author-notes>
<pub-date pub-type="collection">
<season>Sep-Oct</season>
<year>2024</year></pub-date>
<pub-date pub-type="epub">
<day>12</day>
<month>07</month>
<year>2024</year></pub-date>
<volume>4</volume>
<issue>5</issue>
<elocation-id>52</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: © 2024 Fatima et al.</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.</license-p></license>
</permissions>
<abstract>
<p>Chronic inflammatory diseases, such as arthritis have been linked to a higher risk of developing cardiovascular disease. The present study examined the association between carotid intima-media thickness (CIMT) and coronary artery calcium (CAC), as well as the cardiovascular risk in patients with rheumatoid arthritis (RA). Additionally, the present study used 28 measures to calculate the disease activity score (DAS). To compare healthy controls with patients with RA, a case-control study was conducted that assessed CAC and CIMT in patients with the disease. A total of 45 healthy individuals and 45 patients with a diagnosis of RA were included in the study. With an average age of 50.66±12.35 years, the ages of the participants varied from 24 to 80 years. In both the control and RA patient groups, the sex ratio was 60%. The RA patient group had 53.3% female participants. There were significant variations in the levels of serum urea, potassium, magnesium, serum alkaline phosphatase, serum glutamic pyruvic transaminase, total leucocyte count, erythrocyte sedimentation rate, C-reactive protein (CRP) and lipids [apart from triglycerides and very low-density lipoprotein (VLDL)]. There was a substantial difference in the scores between patients with RA and the controls as regards CAC. A mild-severe risk of coronary artery disease was observed in 55.6% of RA cases and 4.4% of the controls (all mild). Both CIMT thickness and the CAC score exhibited a significant correlation with CRP, serum cholesterol, serum triglycerides, serum low-density lipids and serum VLDL. The DAS of patients ranged between 4.4 and 8.2 (mean, 5.81±0.91). A moderate disease activity was noted in the remaining patients, whereas 66.7% exhibited a high disease activity (DAS &gt;5.2). On the whole, the present study demonstrates that conventional risk factors for cardiovascular disease, such as dyslipidemia, are consistent with both CIMT and CAC. The risk of developing atherosclerosis may be substantially increased by chronic inflammation, as the DAS score corresponds with CIMT and CAC.</p>
</abstract>
<kwd-group>
<kwd>rheumatoid arthritis</kwd>
<kwd>carotid intima-media thickness test</kwd>
<kwd>computed tomography-coronary artery calcium</kwd>
<kwd>early cardiac markers</kwd>
<kwd>rheumatology</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> No funding was received.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Rheumatic illnesses are a general umbrella term for almost 200 different disorders affecting the musculoskeletal system (<xref rid="b1-MI-4-5-00176" ref-type="bibr">1</xref>). The causes and therapies for the almost 100 different types of arthritis have been well-documented. In humans, rheumatoid arthritis (RA) and osteoarthritis are the most well-known types of arthritis. RA, also referred to as an autoimmune disease or a progressive disease, is an example of a chronic systemic condition (<xref rid="b2-MI-4-5-00176" ref-type="bibr">2</xref>). It is characterized by destructive joint disease and prolonged inflammation, although its etiology is uncertain (<xref rid="b3-MI-4-5-00176" ref-type="bibr">3</xref>). There are two subtypes of this disease, namely ‘seropositive’ and ‘seronegative’. Elevated blood levels of rheumatoid factor (RF) autoantibodies and, more recently, antibodies to citrullinated protein/peptide antigens (ACPAs) can be used to determine seropositivity (<xref rid="b4-MI-4-5-00176" ref-type="bibr">4</xref>). RF autoantibodies are a type of antibody that are produced by the immune system.</p>
<p>RA is far more common in certain populations than in others. France (0.19%) and Italy (0.41%) have been found to have a lower reported prevalence of RA compared to other countries of the world, where it varies from 0.19 to 1.1% (<xref rid="b5-MI-4-5-00176" ref-type="bibr">5</xref>,<xref rid="b6-MI-4-5-00176" ref-type="bibr">6</xref>). The prevalence of RA in Germany and Sweden has been reported to be ~0.65% (<xref rid="b7-MI-4-5-00176" ref-type="bibr">7</xref>,<xref rid="b8-MI-4-5-00176" ref-type="bibr">8</xref>). RA has been reported to affect between 0.5 and 1% of North Americans (<xref rid="b8-MI-4-5-00176 b9-MI-4-5-00176 b10-MI-4-5-00176" ref-type="bibr">8-10</xref>). RA is estimated to afflict 0.75% of individuals in India (<xref rid="b10-MI-4-5-00176" ref-type="bibr">10</xref>,<xref rid="b11-MI-4-5-00176" ref-type="bibr">11</xref>).</p>
<p>Furthermore, coronary artery calcium (CAC) as it is commonly known, is a characteristic of coronary atherosclerosis (<xref rid="b12-MI-4-5-00176" ref-type="bibr">12</xref>). Consistent, dependable and convincing evidence of a substantial association between CAC and significant cardiovascular events has also been found in a number of asymptomatic individuals (<xref rid="b13-MI-4-5-00176" ref-type="bibr">13</xref>,<xref rid="b14-MI-4-5-00176" ref-type="bibr">14</xref>). Initially, CAC was evaluated using chest X-ray, fluoroscopy, or digital subtraction of fluoroscopy; following the introduction of electron beam computed tomography and multidetector computed tomography, these devices were found to be more useful. The most useful information on cardiovascular risk, or the likelihood of suffering a heart attack or stroke, may be obtained from coronary calcium scores for females aged 35 to 70 years and for males aged 40 to 60 years (<xref rid="b15-MI-4-5-00176" ref-type="bibr">15</xref>).</p>
<p>The disease activity score (DAS) was developed by a group of Dutch rheumatologists with the goal of offering a standardized method to compare and contrast results from clinical trials of novel medications for the treatment of RA. Clinical practices often use disease activity measurements related to RA. The DAS28, which evaluates a total of 28 joints, is one such instrument.</p>
<p>The present study aimed to examine the association between cardiovascular risk (using CAC) and CIMT in patients with RA and healthy controls, using the DAS28 as a proxy.</p>
</sec>
<sec sec-type="Patients|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>Study population</title>
<p>The present case-control study was carried out at a tertiary care center over the course of 2 academic years (2020-2022). Each individual who met the American College of Rheumatology (ACR) criteria (<xref rid="SD1-MI-4-5-00176" ref-type="supplementary-material">Table SI</xref>) for a diagnosis of RA was included in the analysis as the cases, while those who were healthy, and age- and sex-matched individuals served as the controls. All patients were subjected to routine blood and radiological investigations. Patients with Inflammatory joint disease other than RA, a history of any cardiovascular/cerebrovascular events, known diabetes and obesity [body mass index (BMI) &gt;30 kg/m<sup>2</sup>] and patients who were critically ill were excluded from the study. The Institutional Ethical Committee of Era's Lucknow Medical College and Hospital, Lucknow, India gave its approval for the research to go on. All patients were asked to provide their written and informed permission.</p>
<p>All controls and patients with RA who were identified using the aforementioned criteria were referred to the Radiology Department of the same hospital for evaluation of CIMT by carotid intima-media thickness ultrasonography and coronary artery calcium(CAC) burden by dual-energy computed tomography under the supervision of competent radiologists. These criteria categorize newly presented patients with confirmed clinical synovitis in at least one joint when no other medical condition seems to fit into the category. A score of ≥6 fulfils the requirements for definite RA. The classification criteria used in the present study for the patients with RA are listed in <xref rid="SD1-MI-4-5-00176" ref-type="supplementary-material">Table SI</xref> (<xref rid="b16-MI-4-5-00176" ref-type="bibr">16</xref>).</p>
</sec>
<sec>
<title>DAS</title>
<p>Dutch rheumatologists first created the DAS in order to standardize and compare outcomes in RA medication clinical trials. Over time, the DAS28 has also found its way into everyday clinical settings. DAS28 is a metric for assessing the efficacy of RA therapy and management. Treatments may reduce the inflammation caused by RA, which in turn attenuates the damage inflicted to joints that causes disability and suffering. As a result, DAS28 (<xref rid="SD2-MI-4-5-00176" ref-type="supplementary-material">Table SII</xref>) (<xref rid="b17-MI-4-5-00176" ref-type="bibr">17</xref>) plays a crucial role in determining the optimal strategy for the disease management of each individual affected.</p>
</sec>
<sec>
<title>Estimation of CAC score</title>
<p>The estimation of the CAC score was achieved using a 384-slice dual source machine, SOMATOM Force (Siemens Healthineers), for coronary calcium scoring at the Department of Radiology, Era's Lucknow Medical College and Hospital. The arteries which were focused on were the following: Left main, left circumflex, right circumflex and left anterior descending. The CAC score calculated using the Agatston score.</p>
</sec>
<sec>
<title>Method of calculation</title>
<p>The calculation is based on the weighted density score given to the highest attenuation value (HU) multiplied by area of the calcification speck. The density factor assigned to each HU corresponds as 130-199 HU=1; 200-299 HU=2; 300-399 HU=3 and 400+ HU= 4. For example, if a calcified speck has maximum attenuation value of 400 HU and occupies 8 sq mm area, then its calcium score is 32. The severity is then graded as demonstrated in <xref rid="SD3-MI-4-5-00176" ref-type="supplementary-material">Table SIII</xref> (<xref rid="b18-MI-4-5-00176" ref-type="bibr">18</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using SPSS version 21.0 statistical analysis software (IBM Corp.). The values are presented as number and percentage, or as the mean ± standard deviation (SD). Categorical variables were analyzed using the Chi-squared test or Fisher's exact test and continuous variables were analyzed using the unpaired student's t-test. Bivariate Pearson's (r-value) correlation analysis was used to determine the correlations among variables. A P-value &lt;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<p>The present study examined 45 patients with RA who fulfilled the aforementioned inclusion criteria. These patients were then classified as the cases and another 45 healthy individuals were included as the controls. As demonstrated in <xref rid="f1-MI-4-5-00176" ref-type="fig">Fig. 1</xref>, although the sex ratios between the patients with (53.3% females) and the controls (60% males) were comparable, the RA patient group had a higher number of females. The demographic profiles of both groups are presented in <xref rid="tI-MI-4-5-00176" ref-type="table">Table I</xref>.</p>
<p>Only 2 (4.4%) of the 45 patients with RA had a DAS ≤2.6, which is indicative of remission. A total of 40 patients of 45 cases (88.9%), had disease activity ratings that ranged from moderate to high (range, &gt;3.2), whereas 3 patients, which is equivalent to 6.7% of the sample, had low disease activity scores (range, 2.6-3.2) (<xref rid="tII-MI-4-5-00176" ref-type="table">Table II</xref>).</p>
<p>Compared with the controls, the cases had a significantly higher total leucocyte count (TLC; 9311±2877 vs. 8049±1780 per microliter), erythrocyte sedimentation rate (ESR) in the first hour (19.18±6.34 vs. 16.62±3.56 mm/h), C-reactive protein (CRP; 11.36±5.84 vs. 2.44±1.69 mg/l), serum urea (24.76±7.96 vs. 21.99±3.53 mg/dl), serum potassium (4.18±0.69 vs. 3.95±0.23 mmol/l), serum magnesium (1.95±0.18 vs. 2.02±0.14 mg/dl), serum glutamic pyruvic transaminase (SGPT; 44.82±18.60 vs. 37.69±9.58 units/l), serum alkaline phosphatase (ALP; 96.02±36.12 vs. 81.96±21.19 IU/l), serum cholesterol (160.88±30.11 vs. 145.35±17.40 mg/dl), serum high-density lipoprotein (HDL; 7.20±15.83 vs. 43.91±8.17 mg/dl), serum low-density lipoprotein (LDL; 107.74±23.75 vs. 98.11±16.66 mg/dl) and the LDL-HDL ratio (2.85±1.58 vs. 1.57±3.27 mg/dl) (<xref rid="tIII-MI-4-5-00176" ref-type="table">Table III</xref>). The results of the analysis of the correlation between the DAS, and BMI, CRP, serum cholesterol, serum triglycerides, serum HDL, serum LDL and serum very low-density lipoprotein (VLDL) are presented in <xref rid="tIV-MI-4-5-00176" ref-type="table">Table IV</xref>. An inverse correlation was observed between the DAS and HDL levels. In addition, a strong correlation was found between the DAS and the CRP level. However, a moderate or weak correlation was observed between DAS and the remaining variables, although some correlations were significant.</p>
<p>None of the controls had moderate risk (score 101-400) or severe risk (score ≥401), and the majority of the controls exhibited no evidence of CAD (CAC score 0; 88.9%). The remaining controls had a minimum risk (score 1-10) or mild risk (score 11-100). By contrast, according to the CAC scores, only 22.2% of the patients with RA exhibited no signs of CAD, another 22.2% had a low risk, and the remaining 55.5% had a mild to severe risk. This difference was found to be statistically significant. The proportion of cases was higher as compared to controls in all the risk categories: Minimal (22.2 vs. 6.7%), mild (13.3 vs. 4.4%), moderate (24.4 vs. 0.0%) and severe risk (17.8 vs. 0.0%) (<xref rid="tV-MI-4-5-00176" ref-type="table">Table V</xref>).</p>
<p>The range of CIMT in the patients with RA was 0.712-1.310 mm, while that in the controls was 0.412-0.518 mm. In the patients with RA, the CIMT was determined to be 1.050±0.218 mm, which was substantially larger than the value of the control group (0.479±0.040 mm) (<xref rid="tVI-MI-4-5-00176" ref-type="table">Table VI</xref>).</p>
<p>The CIMT exhibited a significant correlation with CRP, serum cholesterol, triglycerides, serum HDL (inverse), LDL and VLDL. A strong correlation was found between CIMT and CRP was strong; however, a moderate or weak correlation was found between CIMT and the remaining variables, although some correlations were significant. The CAC score also exhibited a significant correlation with CRP, serum cholesterol and serum triglycerides, serum VLDL and serum LDL. A moderate correlation was found between the CAC score and CRP, serum triglycerides and VLDL. The CAC scores and CIMT levels of both sexes were comparable. Age was not found to significantly correlate with the aforementioned two markers (CAC and CIMT) (<xref rid="tVII-MI-4-5-00176" ref-type="table">Table VII</xref>).</p>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>As a chronic inflammatory joint condition, RA restricts everyday activities due to the pain, stiffness, and exhaustion that patients experience regularly. The link between inflammation and the development of cardiovascular disease was recognized only ~10 years ago. Researchers found that patients with RA had a 1.5-2.0-fold greater risk of developing coronary artery disease (CAD) than the general population (<xref rid="b18-MI-4-5-00176" ref-type="bibr">18</xref>). Another study demonstrated that patients with RA had a prevalence of myocardial infarction (MI) that was &gt;3-fold higher than that of patients without RA (<xref rid="b19-MI-4-5-00176" ref-type="bibr">19</xref>). Thus, CAD is already more likely to occur before RA is even diagnosed clinically. The signs and symptoms of CAD vary with the disease process throughout time. In certain cases, there may be no obvious symptoms of damage.</p>
<p>The present study aimed to evaluate CIMT and computed tomography-CAC, two relatively novel cardiovascular risk indicators, in patients with RA. For this purpose, the present study recruited 45 patients with RA and 45 individuals who served as the healthy controls. The enrolled patients with RA had an average age of 49.07±12.38 years (ranging from 24 to 80 years), with 53.3% being female. Specifically, the controls in the present study were matched for both sex and age. Although RA may develop at any age, the majority of epidemiological research has shown that the condition is most common in individuals who are in their 50 and 60s. Other studies have suggested a later onset of the illness (<xref rid="b19-MI-4-5-00176 b20-MI-4-5-00176 b21-MI-4-5-00176 b22-MI-4-5-00176 b23-MI-4-5-00176" ref-type="bibr">19-23</xref>).</p>
<p>The mean age of patients with RA included in the clinical studies by Schott <italic>et al</italic> (<xref rid="b24-MI-4-5-00176" ref-type="bibr">24</xref>) (53.3 years) and Targońska-Stepniak <italic>et al</italic> (<xref rid="b25-MI-4-5-00176" ref-type="bibr">25</xref>) (42.6±8.0 years; range, 27-59) was also very close to that in the present study. In the study by Udachkina <italic>et al</italic> (<xref rid="b26-MI-4-5-00176" ref-type="bibr">26</xref>), the median age of the patients was 56 years.</p>
<p>In the present study, two-thirds (53.3%) of the patients had a DAS &gt;5.2 (high disease activity), and16 patients had a DAS of 3.3-5.2 (35.6%) (moderate disease activity). Out of the 45 patients with RA, 2 (4.4%) were not on therapy, 6 (13.3%) were on disease-modifying antirheumatic drugs (DMARDs) treatment for &lt;6 months, and the remaining 37 (82.22%) were on DMARDS treatment for &gt;6 months. The DAS exhibited a substantial correlation with serum cholesterol, LDL and CRP levels among the CAD risk factors. Sengul <italic>et al</italic> (<xref rid="b27-MI-4-5-00176" ref-type="bibr">27</xref>) examined Turkish individuals with RA and their DAS28-ESR and DAS28-CRP criteria. While the DAS28-CRP was based on DAS28 without the ESR, the DAS28-ESR was based on the DAS with 28 joints (<xref rid="b27-MI-4-5-00176" ref-type="bibr">27</xref>). According to that study, the DAS28-CRP and DAS28-ESR exhibited a substantial association, whereas the individual components only exhibited a modest correlation (<xref rid="b27-MI-4-5-00176" ref-type="bibr">27</xref>).</p>
<p>In the present study, significant differences in the laboratory parameters (TLC, first-hour ESR, CRP, serum urea, serum potassium, serum magnesium, SGPT and serum ALP, and lipid levels) of the RA cases and healthy controls were observed. The TLC, ESR and CRP levels are inflammatory markers and have been found to be increased in ~40% of patients with RA (<xref rid="b28-MI-4-5-00176" ref-type="bibr">28</xref>). It has been shown that anti-inflammatory medications increase total, HDL and LDL cholesterol levels in patients with RA (<xref rid="b29-MI-4-5-00176" ref-type="bibr">29</xref>,<xref rid="b30-MI-4-5-00176" ref-type="bibr">30</xref>). Oxidative alterations caused by chronic inflammation modify the structure of HDL and decrease apolipoprotein-A1 in patients with active RA (<xref rid="b31-MI-4-5-00176" ref-type="bibr">31</xref>).</p>
<p>In the present study, the CAC score of the patients with RA was significantly higher compared with that of the controls (246.80±330.81 vs. 0.600±0.251). Of note, ~55.6% of patients with RA had been found to have a mild to severe risk of developing CAD (score, 11-&gt;400). A significant correlation between CAC and CRP, and lipid levels (apart from HDL) was found. These findings are supported by the findings in the study by Wahlin <italic>et al</italic> (<xref rid="b32-MI-4-5-00176" ref-type="bibr">32</xref>), who studied the computed tomography-CAC of 22 patients with RA (mean age, 65 years). They also found that 55.5% of the patients had a CAC score &gt;10(<xref rid="b32-MI-4-5-00176" ref-type="bibr">32</xref>).</p>
<p>The average age of the 60 female patients with RA in the study by Bernardes <italic>et al</italic> (<xref rid="b33-MI-4-5-00176" ref-type="bibr">33</xref>) was 53.6±10.4 years, and their average DAS28 score was 4. Age, BMI, hyperglycemia and cholesterol levels were shown to have a substantial correlation with the mean coronary calcium score, which was 35.192±117.786. In the present study, the CIMT varied significantly (1.050±0.218 vs. 0.479±0.040 mm) between the experimental and control groups. CIMT was substantially linked with levels of lipids and CRP.</p>
<p>Targońska-Stepniak <italic>et al</italic> (<xref rid="b25-MI-4-5-00176" ref-type="bibr">25</xref>) found similar results when they evaluated CIMT values in 74 patients with RA without cardiovascular risk, with an average age of 46.4±0.6 years. A total of 31 age-matched control participants had notably higher CIMT values than the controls (<xref rid="b25-MI-4-5-00176" ref-type="bibr">25</xref>).</p>
<p>As a chronic inflammatory disorder, RA affects more than only the joints and muscles. Multiple risk variables that are also linked to cardiovascular risk govern it. Moreover, medication for RA also has a cardiovascular impact. Aging also contributes as a common risk factor between RA and cardiovascular disorders. Thus, the screening of all patients with RA for cardiovascular disease and associated risks is recommend at regular intervals. Furthermore, according to the data indicating a much larger percentage of these surrogate indicators in patients with RA, it is imperative that more stringent measures be implemented to decrease the cardiovascular risk in this population.</p>
<p>In conclusion, the present study demonstrated that the CIMT and CAC differed substantially between healthy individuals and patients with RA. This difference was shown to be statistically significant. The diagnosis and planning of risk reduction measures for patients with RA may be aided by these surrogate indicators of early atherosclerosis. Consistent results between CIMT and CAC, and established CV risk variables, such as dyslipidemia, suggest that these two methods could assist prevention and treatment efforts. Chronic inflammation significantly increases the risk of developing atherosclerosis, as suggested by the link between the disease activity score, the CIMT and CAC.</p>
</sec>
<sec sec-type="supplementary-material">
<title>Supplementary Material</title>
<supplementary-material id="SD1-MI-4-5-00176" content-type="local-data">
<caption>
<title>Classification criteria for rheumatoid arthritis.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data.pdf"/>
</supplementary-material>
<supplementary-material id="SD2-MI-4-5-00176" content-type="local-data">
<caption>
<title>Disease activity score.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data.pdf"/>
</supplementary-material>
<supplementary-material id="SD3-MI-4-5-00176" content-type="local-data">
<caption>
<title>Severity grading of CAC score.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data.pdf"/>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Authors' contributions</title>
<p>The study was conceptualized and planned by JF. All the data were collected, analyzed and entered into tables by MZS. JF and MZS analyzed the data and modified the final study. VS and ZS provided scientific input and helped editing protocols, contributed data or analysis tools and performed the analyses. SM helped pool information and edited the final manuscript, collected the data, and contributed data or analysis tools. Performed the analysis and Edited the paper. AAJ and ZU helped collect patient profiles and raw data. All authors have reviewed and approved the final manuscript. JF and MZS confirm the authenticity of all the raw data.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The Institutional Ethical Committee of Era's Lucknow Medical College and Hospital, Lucknow, India gave its approval for the research to go on. All patients were asked to provide their informed permission.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-MI-4-5-00176"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mohsin</surname><given-names>Z</given-names></name><name><surname>Asghar</surname><given-names>AA</given-names></name><name><surname>Faiq</surname><given-names>A</given-names></name><name><surname>Khalid</surname><given-names>I</given-names></name><name><surname>Ul-Haque</surname><given-names>I</given-names></name><name><surname>Rehman</surname><given-names>S</given-names></name><name><surname>Ahmed</surname><given-names>SI</given-names></name><name><surname>Basalat</surname><given-names>ST</given-names></name><name><surname>Aimen</surname><given-names>A</given-names></name><name><surname>Shafique</surname><given-names>S</given-names></name><etal/></person-group><article-title>Prevalence of rheumatic diseases in a tertiary care hospital of Karachi</article-title><source>Cureus</source><volume>10</volume><issue>e2858</issue><year>2018</year><pub-id pub-id-type="pmid">30148011</pub-id><pub-id pub-id-type="doi">10.7759/cureus.2858</pub-id></element-citation></ref>
<ref id="b2-MI-4-5-00176"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shi</surname><given-names>Y</given-names></name><name><surname>Wu</surname><given-names>Y</given-names></name><name><surname>Ren</surname><given-names>Y</given-names></name><name><surname>Jiang</surname><given-names>Y</given-names></name><name><surname>Chen</surname><given-names>Y</given-names></name></person-group><article-title>Infection risks of rituximab versus non-rituximab treatment for rheumatoid arthritis: A systematic review and meta-analysis</article-title><source>Int J Rheum Dis</source><volume>22</volume><fpage>1361</fpage><lpage>1370</lpage><year>2019</year><pub-id pub-id-type="pmid">31099191</pub-id><pub-id pub-id-type="doi">10.1111/1756-185X.13596</pub-id></element-citation></ref>
<ref id="b3-MI-4-5-00176"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Okada</surname><given-names>Y</given-names></name><name><surname>Eyre</surname><given-names>S</given-names></name><name><surname>Suzuki</surname><given-names>A</given-names></name><name><surname>Kochi</surname><given-names>Y</given-names></name><name><surname>Yamamoto</surname><given-names>K</given-names></name></person-group><article-title>Genetics of rheumatoid arthritis: 2018 status</article-title><source>Ann Rheum Dis</source><volume>78</volume><fpage>446</fpage><lpage>453</lpage><year>2019</year><pub-id pub-id-type="pmid">30530827</pub-id><pub-id pub-id-type="doi">10.1136/annrheumdis-2018-213678</pub-id></element-citation></ref>
<ref id="b4-MI-4-5-00176"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Smolen</surname><given-names>JS</given-names></name><name><surname>Aletaha</surname><given-names>D</given-names></name><name><surname>Koeller</surname><given-names>M</given-names></name><name><surname>Weisman</surname><given-names>MH</given-names></name><name><surname>Emery</surname><given-names>P</given-names></name></person-group><article-title>New therapies for treatment of rheumatoid arthritis</article-title><source>Lancet</source><volume>370</volume><fpage>1861</fpage><lpage>1874</lpage><year>2007</year><pub-id pub-id-type="pmid">17570481</pub-id><pub-id pub-id-type="doi">10.1016/S0140-6736(07)60784-3</pub-id></element-citation></ref>
<ref id="b5-MI-4-5-00176"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rossini</surname><given-names>M</given-names></name><name><surname>Rossi</surname><given-names>E</given-names></name><name><surname>Bernardi</surname><given-names>D</given-names></name><name><surname>Viapiana</surname><given-names>O</given-names></name><name><surname>Gatti</surname><given-names>D</given-names></name><name><surname>Idolazzi</surname><given-names>L</given-names></name><name><surname>Caimmi</surname><given-names>C</given-names></name><name><surname>Derosa</surname><given-names>M</given-names></name><name><surname>Adami</surname><given-names>S</given-names></name></person-group><article-title>Prevalence and incidence of rheumatoid arthritis in Italy</article-title><source>Rheumatol Int</source><volume>34</volume><fpage>659</fpage><lpage>664</lpage><year>2014</year><pub-id pub-id-type="pmid">24610538</pub-id><pub-id pub-id-type="doi">10.1007/s00296-014-2974-6</pub-id></element-citation></ref>
<ref id="b6-MI-4-5-00176"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Biver</surname><given-names>E</given-names></name><name><surname>Beague</surname><given-names>V</given-names></name><name><surname>Verloop</surname><given-names>D</given-names></name><name><surname>Mollet</surname><given-names>D</given-names></name><name><surname>Lajugie</surname><given-names>D</given-names></name><name><surname>Baudens</surname><given-names>G</given-names></name><name><surname>Neirinck</surname><given-names>P</given-names></name><name><surname>Flipo</surname><given-names>RM</given-names></name></person-group><article-title>Low and stable prevalence of rheumatoid arthritis in northern France</article-title><source>Joint Bone Spine</source><volume>76</volume><fpage>497</fpage><lpage>500</lpage><year>2009</year><pub-id pub-id-type="pmid">19767228</pub-id><pub-id pub-id-type="doi">10.1016/j.jbspin.2009.03.013</pub-id></element-citation></ref>
<ref id="b7-MI-4-5-00176"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Englund</surname><given-names>M</given-names></name><name><surname>Jöud</surname><given-names>A</given-names></name><name><surname>Geborek</surname><given-names>P</given-names></name><name><surname>Felson</surname><given-names>DT</given-names></name><name><surname>Jacobsson</surname><given-names>LT</given-names></name><name><surname>Petersson</surname><given-names>IF</given-names></name></person-group><article-title>Prevalence and incidence of rheumatoid arthritis in southern Sweden 2008 and their relation to prescribed biologics</article-title><source>Rheumatology (Oxford)</source><volume>49</volume><fpage>1563</fpage><lpage>1569</lpage><year>2010</year><pub-id pub-id-type="pmid">20444855</pub-id><pub-id pub-id-type="doi">10.1093/rheumatology/keq127</pub-id></element-citation></ref>
<ref id="b8-MI-4-5-00176"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hense</surname><given-names>S</given-names></name><name><surname>Ramos</surname><given-names>AL</given-names></name><name><surname>Callhoff</surname><given-names>J</given-names></name><name><surname>Albrecht</surname><given-names>K</given-names></name><name><surname>Zink</surname><given-names>A</given-names></name><name><surname>Hoffmann</surname><given-names>F</given-names></name></person-group><article-title>Prevalence of rheumatoid arthritis in Germany based on health insurance data: Regional differences and first results of the PROCLAIR study</article-title><source>Z Rheumatol</source><volume>75</volume><fpage>819</fpage><lpage>827</lpage><year>2016</year><pub-id pub-id-type="pmid">27120440</pub-id><pub-id pub-id-type="doi">10.1007/s00393-016-0088-0</pub-id><comment>(In German)</comment></element-citation></ref>
<ref id="b9-MI-4-5-00176"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hunter</surname><given-names>TM</given-names></name><name><surname>Boytsov</surname><given-names>NN</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Schroeder</surname><given-names>K</given-names></name><name><surname>Michaud</surname><given-names>K</given-names></name><name><surname>Araujo</surname><given-names>AB</given-names></name></person-group><article-title>Prevalence of rheumatoid arthritis in the United States adult population in healthcare claims databases, 2004-2014</article-title><source>Rheumatol Int</source><volume>37</volume><fpage>1551</fpage><lpage>1557</lpage><year>2017</year><pub-id pub-id-type="pmid">28455559</pub-id><pub-id pub-id-type="doi">10.1007/s00296-017-3726-1</pub-id></element-citation></ref>
<ref id="b10-MI-4-5-00176"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jean</surname><given-names>S</given-names></name><name><surname>Hudson</surname><given-names>M</given-names></name><name><surname>Gamache</surname><given-names>P</given-names></name><name><surname>Bessette</surname><given-names>L</given-names></name><name><surname>Fortin</surname><given-names>PR</given-names></name><name><surname>Boire</surname><given-names>G</given-names></name><name><surname>Bernatsky</surname><given-names>S</given-names></name></person-group><article-title>Temporal trends in prevalence, incidence, and mortality for rheumatoid arthritis in Quebec, Canada: A population-based study</article-title><source>Clin Rheumatol</source><volume>36</volume><fpage>2667</fpage><lpage>2671</lpage><year>2017</year><pub-id pub-id-type="pmid">28828712</pub-id><pub-id pub-id-type="doi">10.1007/s10067-017-3796-1</pub-id></element-citation></ref>
<ref id="b11-MI-4-5-00176"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bernatsky</surname><given-names>S</given-names></name><name><surname>Dekis</surname><given-names>A</given-names></name><name><surname>Hudson</surname><given-names>M</given-names></name><name><surname>Pineau</surname><given-names>CA</given-names></name><name><surname>Boire</surname><given-names>G</given-names></name><name><surname>Fortin</surname><given-names>PR</given-names></name><name><surname>Bessette</surname><given-names>L</given-names></name><name><surname>Jean</surname><given-names>S</given-names></name><name><surname>Chetaille</surname><given-names>AL</given-names></name><name><surname>Belisle</surname><given-names>P</given-names></name><etal/></person-group><article-title>Rheumatoid arthritis prevalence in Quebec</article-title><source>BMC Res Notes</source><volume>7</volume><issue>937</issue><year>2014</year><pub-id pub-id-type="pmid">25527187</pub-id><pub-id pub-id-type="doi">10.1186/1756-0500-7-937</pub-id></element-citation></ref>
<ref id="b12-MI-4-5-00176"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Demer</surname><given-names>LL</given-names></name><name><surname>Tintut</surname><given-names>Y</given-names></name></person-group><article-title>Vascular calcification: Pathobiology of a multifaceted disease</article-title><source>Circulation</source><volume>117</volume><fpage>2938</fpage><lpage>2948</lpage><year>2008</year><pub-id pub-id-type="pmid">18519861</pub-id><pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.107.743161</pub-id></element-citation></ref>
<ref id="b13-MI-4-5-00176"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Oei</surname><given-names>HH</given-names></name><name><surname>Vliegenthart</surname><given-names>R</given-names></name><name><surname>Hak</surname><given-names>AE</given-names></name><name><surname>del Sol</surname><given-names>A</given-names></name><name><surname>Hofman</surname><given-names>A</given-names></name><name><surname>Oudkerk</surname><given-names>M</given-names></name><name><surname>Witteman</surname><given-names>JC</given-names></name></person-group><article-title>The association between coronary calcification assessed by electron beam computed tomography and measures of extracoronary atherosclerosis: The rotterdam coronary calcification study</article-title><source>J Am Coll Cardiol</source><volume>39</volume><fpage>1745</fpage><lpage>1751</lpage><year>2002</year><pub-id pub-id-type="pmid">12039486</pub-id><pub-id pub-id-type="doi">10.1016/s0735-1097(02)01853-3</pub-id></element-citation></ref>
<ref id="b14-MI-4-5-00176"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hoffmann</surname><given-names>U</given-names></name><name><surname>Massaro</surname><given-names>JM</given-names></name><name><surname>Fox</surname><given-names>CS</given-names></name><name><surname>Manders</surname><given-names>E</given-names></name><name><surname>O'Donnell</surname><given-names>CJ</given-names></name></person-group><article-title>Defining normal distributions of coronary artery calcium in women and men (from the Framingham Heart Study)</article-title><source>Am J Cardiol</source><volume>102</volume><fpage>1136</fpage><lpage>1141</lpage><year>2008</year><pub-id pub-id-type="pmid">18940279</pub-id><pub-id pub-id-type="doi">10.1016/j.amjcard.2008.06.038</pub-id></element-citation></ref>
<ref id="b15-MI-4-5-00176"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yadav</surname><given-names>A</given-names></name><name><surname>Mala</surname><given-names>M</given-names></name><name><surname>Yadav</surname><given-names>GAM</given-names></name><name><surname>Kumar</surname><given-names>LN</given-names></name></person-group><article-title>Effect of cigarette smoking on blood levels of lipid and atherogenic lipid ratios</article-title><source>Natl J Lab Med</source><volume>9</volume><fpage>1</fpage><lpage>3</lpage><year>2020</year></element-citation></ref>
<ref id="b16-MI-4-5-00176"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aletaha</surname><given-names>D</given-names></name><name><surname>Neogi</surname><given-names>T</given-names></name><name><surname>Silman</surname><given-names>AJ</given-names></name><name><surname>Funovits</surname><given-names>J</given-names></name><name><surname>Felson</surname><given-names>DT</given-names></name><name><surname>Bingham</surname><given-names>CO III</given-names></name><name><surname>Birnbaum</surname><given-names>NS</given-names></name><name><surname>Burmester</surname><given-names>GR</given-names></name><name><surname>Bykerk</surname><given-names>VP</given-names></name><name><surname>Cohen</surname><given-names>MD</given-names></name><etal/></person-group><article-title>2010 rheumatoid arthritis classification criteria: An American college of rheumatology/European league against rheumatism collaborative initiative</article-title><source>Arthritis Rheum</source><volume>62</volume><fpage>2569</fpage><lpage>2581</lpage><year>2010</year><pub-id pub-id-type="pmid">20699241</pub-id><pub-id pub-id-type="doi">10.1136/ard.2010.138461</pub-id></element-citation></ref>
<ref id="b17-MI-4-5-00176"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kumar</surname><given-names>BS</given-names></name><name><surname>Suneetha</surname><given-names>P</given-names></name><name><surname>Mohan</surname><given-names>A</given-names></name><name><surname>Kumar</surname><given-names>DP</given-names></name><name><surname>Sarma</surname><given-names>KVS</given-names></name></person-group><article-title>Comparison of disease activity score in 28 joints with ESR (DAS28), clinical disease activity index (CDAI), health assessment questionnaire disability index (HAQ-DI) &amp; routine assessment of patient index data with 3 measures (RAPID3) for assessing disease activity in patients with rheumatoid arthritis at initial presentation</article-title><source>Indian J Med Res</source><volume>146</volume><fpage>S57</fpage><lpage>S62</lpage><year>2017</year><pub-id pub-id-type="pmid">29578196</pub-id><pub-id pub-id-type="doi">10.4103/ijmr.IJMR_701_15</pub-id></element-citation></ref>
<ref id="b18-MI-4-5-00176"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Solomon</surname><given-names>DH</given-names></name><name><surname>Goodson</surname><given-names>NJ</given-names></name><name><surname>Katz</surname><given-names>JN</given-names></name><name><surname>Weinblatt</surname><given-names>ME</given-names></name><name><surname>Avorn</surname><given-names>J</given-names></name><name><surname>Setoguchi</surname><given-names>S</given-names></name><name><surname>Canning</surname><given-names>C</given-names></name><name><surname>Schneeweiss</surname><given-names>S</given-names></name></person-group><article-title>Patterns of cardiovascular risk in rheumatoid arthritis</article-title><source>Ann Rheum Dis</source><volume>65</volume><fpage>1608</fpage><lpage>1612</lpage><year>2006</year><pub-id pub-id-type="pmid">16793844</pub-id><pub-id pub-id-type="doi">10.1136/ard.2005.050377</pub-id></element-citation></ref>
<ref id="b19-MI-4-5-00176"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Maradit-Kremers</surname><given-names>H</given-names></name><name><surname>Crowson</surname><given-names>CS</given-names></name><name><surname>Nicola</surname><given-names>PJ</given-names></name><name><surname>Ballman</surname><given-names>KV</given-names></name><name><surname>Roger</surname><given-names>VL</given-names></name><name><surname>Jacobsen</surname><given-names>SJ</given-names></name><name><surname>Gabriel</surname><given-names>SE</given-names></name></person-group><article-title>Increased unrecognized coronary heart disease and sudden deaths in rheumatoid arthritis: A population-based cohort study</article-title><source>Arthritis Rheum</source><volume>52</volume><fpage>402</fpage><lpage>411</lpage><year>2005</year><pub-id pub-id-type="pmid">15693010</pub-id><pub-id pub-id-type="doi">10.1002/art.20853</pub-id></element-citation></ref>
<ref id="b20-MI-4-5-00176"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Doran</surname><given-names>MF</given-names></name><name><surname>Pond</surname><given-names>GR</given-names></name><name><surname>Crowson</surname><given-names>CS</given-names></name><name><surname>O'Fallon</surname><given-names>WM</given-names></name><name><surname>Gabriel</surname><given-names>SE</given-names></name></person-group><article-title>Trends in incidence and mortality in rheumatoid arthritis in Rochester, Minnesota, over a forty-year period</article-title><source>Arthritis Rheum</source><volume>46</volume><fpage>625</fpage><lpage>631</lpage><year>2002</year><pub-id pub-id-type="pmid">11920397</pub-id><pub-id pub-id-type="doi">10.1002/art.509</pub-id></element-citation></ref>
<ref id="b21-MI-4-5-00176"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Riise</surname><given-names>T</given-names></name><name><surname>Jacobsen</surname><given-names>BK</given-names></name><name><surname>Gran</surname><given-names>JT</given-names></name></person-group><article-title>Incidence and prevalence of rheumatoid arthritis in the county of Troms, Northern Norway</article-title><source>J Rheumatol</source><volume>27</volume><fpage>1386</fpage><lpage>1389</lpage><year>2000</year><pub-id pub-id-type="pmid">10852258</pub-id></element-citation></ref>
<ref id="b22-MI-4-5-00176"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Linos</surname><given-names>A</given-names></name><name><surname>Worthington</surname><given-names>JW</given-names></name><name><surname>O'Fallon</surname><given-names>WM</given-names></name><name><surname>Kurland</surname><given-names>LT</given-names></name></person-group><article-title>The epidemiology of rheumatoid arthritis in Rochester, Minnesota: A study of incidence, prevalence, and mortality</article-title><source>Am J Epidemiol</source><volume>111</volume><fpage>87</fpage><lpage>98</lpage><year>1980</year><pub-id pub-id-type="pmid">7352462</pub-id><pub-id pub-id-type="doi">10.1093/oxfordjournals.aje.a112878</pub-id></element-citation></ref>
<ref id="b23-MI-4-5-00176"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gabriel</surname><given-names>SE</given-names></name><name><surname>Crowson</surname><given-names>CS</given-names></name><name><surname>O'Fallon</surname><given-names>WM</given-names></name></person-group><article-title>The epidemiology of rheumatoid arthritis in Rochester, Minnesota, 1955-1985</article-title><source>Arthritis Rheum</source><volume>42</volume><fpage>415</fpage><lpage>420</lpage><year>1999</year><pub-id pub-id-type="pmid">10088762</pub-id><pub-id pub-id-type="doi">10.1002/1529-0131(199904)42:3&lt;415::AID-ANR4&gt;3.0.CO;2-Z</pub-id></element-citation></ref>
<ref id="b24-MI-4-5-00176"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schott</surname><given-names>LL</given-names></name><name><surname>Kao</surname><given-names>AH</given-names></name><name><surname>Cunningham</surname><given-names>A</given-names></name><name><surname>Wildman</surname><given-names>RP</given-names></name><name><surname>Kuller</surname><given-names>LH</given-names></name><name><surname>Sutton-Tyrrell</surname><given-names>K</given-names></name><name><surname>Wasko</surname><given-names>MC</given-names></name></person-group><article-title>Do carotid artery diameters manifest early evidence of atherosclerosis in women with rheumatoid arthritis?</article-title><source>J Womens Health (Larchmt)</source><volume>18</volume><fpage>21</fpage><lpage>29</lpage><year>2009</year><pub-id pub-id-type="pmid">19105681</pub-id><pub-id pub-id-type="doi">10.1089/jwh.2008.0797</pub-id></element-citation></ref>
<ref id="b25-MI-4-5-00176"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Targońska-Stepniak</surname><given-names>B</given-names></name><name><surname>Drelich-Zbroja</surname><given-names>A</given-names></name><name><surname>Majdan</surname><given-names>M</given-names></name></person-group><article-title>The relationship between carotid intima-media thickness and the activity of rheumatoid arthritis</article-title><source>J Clin Rheumatol</source><volume>17</volume><fpage>249</fpage><lpage>255</lpage><year>2011</year><pub-id pub-id-type="pmid">21778898</pub-id><pub-id pub-id-type="doi">10.1097/RHU.0b013e3182290dbf</pub-id></element-citation></ref>
<ref id="b26-MI-4-5-00176"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Udachkina</surname><given-names>EV</given-names></name><name><surname>Novikova</surname><given-names>DS</given-names></name><name><surname>Popkova</surname><given-names>TV</given-names></name><name><surname>Kirillova</surname><given-names>IG</given-names></name><name><surname>Markelova</surname><given-names>EI</given-names></name><name><surname>Gorbunova</surname><given-names>YN</given-names></name><name><surname>Karateev</surname><given-names>DE</given-names></name><name><surname>Luchikhina</surname><given-names>EL</given-names></name><name><surname>Demidova</surname><given-names>NV</given-names></name><name><surname>Borisova</surname><given-names>MA</given-names></name><etal/></person-group><article-title>Progression of Carotid Artery Atherosclerosis during treatment to target in patients with early rheumatoid arthritis</article-title><source>Rheumatol Sci Pract</source><volume>56</volume><fpage>449</fpage><lpage>455</lpage><year>2018</year></element-citation></ref>
<ref id="b27-MI-4-5-00176"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sengul</surname><given-names>I</given-names></name><name><surname>Akcay-Yalbuzdag</surname><given-names>S</given-names></name><name><surname>Ince</surname><given-names>B</given-names></name><name><surname>Goksel-Karatepe</surname><given-names>A</given-names></name><name><surname>Kaya</surname><given-names>T</given-names></name></person-group><article-title>Comparison of the DAS28-CRP and DAS28-ESR in patients with rheumatoid arthritis</article-title><source>Int J Rheum Dis</source><volume>18</volume><fpage>640</fpage><lpage>645</lpage><year>2015</year><pub-id pub-id-type="pmid">26013310</pub-id><pub-id pub-id-type="doi">10.1111/1756-185X.12695</pub-id></element-citation></ref>
<ref id="b28-MI-4-5-00176"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Emery</surname><given-names>P</given-names></name></person-group><article-title>The dunlop-dottridge lecture: Prognosis in inflammatory arthritis: The value of HLA genotyping and the oncological analogy</article-title><source>J Rheumatol</source><volume>24</volume><fpage>1436</fpage><lpage>1442</lpage><year>1997</year><pub-id pub-id-type="pmid">9228150</pub-id></element-citation></ref>
<ref id="b29-MI-4-5-00176"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>van Sijl</surname><given-names>AM</given-names></name><name><surname>Peters</surname><given-names>MJ</given-names></name><name><surname>Knol</surname><given-names>DL</given-names></name><name><surname>de Vet</surname><given-names>RH</given-names></name><name><surname>Sattar</surname><given-names>N</given-names></name><name><surname>Dijkmans</surname><given-names>BA</given-names></name><name><surname>Smulders</surname><given-names>YM</given-names></name><name><surname>Nurmohamed</surname><given-names>MT</given-names></name></person-group><article-title>The effect of TNF-alpha blocking therapy on lipid levels in rheumatoid arthritis: A meta-analysis</article-title><source>Semin Arthritis Rheum</source><volume>41</volume><fpage>393</fpage><lpage>400</lpage><year>2011</year><pub-id pub-id-type="pmid">21665247</pub-id><pub-id pub-id-type="doi">10.1016/j.semarthrit.2011.04.003</pub-id></element-citation></ref>
<ref id="b30-MI-4-5-00176"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Robertson</surname><given-names>J</given-names></name><name><surname>Peters</surname><given-names>MJ</given-names></name><name><surname>McInnes</surname><given-names>IB</given-names></name><name><surname>Sattar</surname><given-names>N</given-names></name></person-group><article-title>Changes in lipid levels with inflammation and therapy in RA: A maturing paradigm</article-title><source>Nat Rev Rheumatol</source><volume>9</volume><fpage>513</fpage><lpage>523</lpage><year>2013</year><pub-id pub-id-type="pmid">23774906</pub-id><pub-id pub-id-type="doi">10.1038/nrrheum.2013.91</pub-id></element-citation></ref>
<ref id="b31-MI-4-5-00176"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Charles-Schoeman</surname><given-names>C</given-names></name><name><surname>Watanabe</surname><given-names>J</given-names></name><name><surname>Lee</surname><given-names>YY</given-names></name><name><surname>Furst</surname><given-names>DE</given-names></name><name><surname>Amjadi</surname><given-names>S</given-names></name><name><surname>Elashoff</surname><given-names>D</given-names></name><name><surname>Park</surname><given-names>G</given-names></name><name><surname>McMahon</surname><given-names>M</given-names></name><name><surname>Paulus</surname><given-names>HE</given-names></name><name><surname>Fogelman</surname><given-names>AM</given-names></name><name><surname>Reddy</surname><given-names>ST</given-names></name></person-group><article-title>Abnormal function of high-density lipoprotein is associated with poor disease control and an altered protein cargo in rheumatoid arthritis</article-title><source>Arthritis Rheum</source><volume>60</volume><fpage>2870</fpage><lpage>2879</lpage><year>2009</year><pub-id pub-id-type="pmid">19790070</pub-id><pub-id pub-id-type="doi">10.1002/art.24802</pub-id></element-citation></ref>
<ref id="b32-MI-4-5-00176"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wahlin</surname><given-names>B</given-names></name><name><surname>Meedt</surname><given-names>T</given-names></name><name><surname>Jonsson</surname><given-names>F</given-names></name><name><surname>Henein</surname><given-names>MY</given-names></name><name><surname>Wållberg-Jonsson</surname><given-names>S</given-names></name></person-group><article-title>Coronary artery calcification is related to inflammation in rheumatoid arthritis: A long-term follow-up study</article-title><source>Biomed Res Int</source><volume>2016</volume><issue>1261582</issue><year>2016</year><pub-id pub-id-type="pmid">27648442</pub-id><pub-id pub-id-type="doi">10.1155/2016/1261582</pub-id></element-citation></ref>
<ref id="b33-MI-4-5-00176"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bernardes</surname><given-names>M</given-names></name><name><surname>Madureira</surname><given-names>A</given-names></name><name><surname>Oliveira</surname><given-names>A</given-names></name><name><surname>Martins</surname><given-names>MJ</given-names></name><name><surname>Lucas</surname><given-names>R</given-names></name><name><surname>Costa</surname><given-names>L</given-names></name><name><surname>Pereira</surname><given-names>JG</given-names></name><name><surname>Ventura</surname><given-names>F</given-names></name><name><surname>Ramos</surname><given-names>I</given-names></name><name><surname>Martins</surname><given-names>E</given-names></name></person-group><article-title>Coronary artery calcium score in female rheumatoid arthritis patients: Associations with apolipoproteins and disease biomarkers</article-title><source>Int J Rheum Dis</source><volume>22</volume><fpage>1841</fpage><lpage>1856</lpage><year>2019</year><pub-id pub-id-type="pmid">31468712</pub-id><pub-id pub-id-type="doi">10.1111/1756-185X.13685</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-MI-4-5-00176" position="float">
<label>Figure 1</label>
<caption><p>Comparison of the sex distribution between the cases and controls.</p></caption>
<graphic xlink:href="mi-04-05-00176-g00.tif"/>
</fig>
<table-wrap id="tI-MI-4-5-00176" position="float">
<label>Table I</label>
<caption><p>Demographic details of the participants in the present study.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Demographic characteristics</th>
<th align="center" valign="middle">Total (n=90)</th>
<th align="center" valign="middle">Cases (n=45)</th>
<th align="center" valign="middle">Controls (n=45)</th>
<th align="center" valign="middle">t-test (P-value)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Mean age ± SD (range) in years</td>
<td align="center" valign="middle">50.66±12.35</td>
<td align="center" valign="middle">49.07±12.38</td>
<td align="center" valign="middle">52.24±12.26</td>
<td align="center" valign="middle">1.22 (0.224)</td>
</tr>
<tr>
<td align="left" valign="middle">Mean BMI ± SD (range) in kg/m<sup>2</sup></td>
<td align="center" valign="middle">24.75±1.73</td>
<td align="center" valign="middle">24.60±1.89</td>
<td align="center" valign="middle">24.90±1.66</td>
<td align="center" valign="middle">0.782 (0.436)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Cases, patients with rheumatoid arthritis; Controls, healthy controls; BMI, body mass index.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-MI-4-5-00176" position="float">
<label>Table II</label>
<caption><p>The comorbidities and therapy of the patients with RA.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Parameter</th>
<th align="center" valign="middle">No. of cases</th>
<th align="center" valign="middle">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Comorbidities</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     Asthma</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">11.1</td>
</tr>
<tr>
<td align="left" valign="middle">     AKI</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">4.4</td>
</tr>
<tr>
<td align="left" valign="middle">     COPD</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">11.1</td>
</tr>
<tr>
<td align="left" valign="middle">     CKD</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">4.4</td>
</tr>
<tr>
<td align="left" valign="middle">     Hypothyroidism</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">15.6</td>
</tr>
<tr>
<td align="left" valign="middle">     Interstitial lung disease</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">8.9</td>
</tr>
<tr>
<td align="left" valign="middle">     No comorbidity</td>
<td align="center" valign="middle">28</td>
<td align="center" valign="middle">62.2</td>
</tr>
<tr>
<td align="left" valign="middle">Therapy</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     Not on therapy</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">4.4</td>
</tr>
<tr>
<td align="left" valign="middle">     On DMARDS treatment for &lt;6 months</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">13.3</td>
</tr>
<tr>
<td align="left" valign="middle">     On DMARDS treatment for &gt;6 months</td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">82.2</td>
</tr>
<tr>
<td align="left" valign="middle">DAS</td>
<td align="center" valign="middle"> </td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">     DAS &lt;2.6 (remission)</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">4.4</td>
</tr>
<tr>
<td align="left" valign="middle">     DAS 2.6-3.2 (low disease activity)</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">6.7</td>
</tr>
<tr>
<td align="left" valign="middle">     DAS 3.3-5.2 (moderate disease activity)</td>
<td align="center" valign="middle">16</td>
<td align="center" valign="middle">35.6</td>
</tr>
<tr>
<td align="left" valign="middle">     DAS &gt;5.2 (high disease activity)</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">53.3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>RA, rheumatoid arthritis; AKI, acute kidney injury; COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; DMARDS, disease-modifying antirheumatic drugs; DAS, disease activity score.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-MI-4-5-00176" position="float">
<label>Table III</label>
<caption><p>Comparison of the parameters between the cases and controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="2"> </th>
<th align="center" valign="middle" colspan="2">Cases (n=45)</th>
<th align="center" valign="middle" colspan="2">Controls (n=45)</th>
<th align="center" valign="middle" colspan="2">Statistical significance</th>
</tr>
<tr>
<th align="left" valign="middle">Parameter</th>
<th align="center" valign="middle">Average values</th>
<th align="center" valign="middle">Mean</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">Mean</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">t value</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Hemoglobin (mg/dl)</td>
<td align="left" valign="middle">Males, 14-18 mg/dl; females,12-16 mg/dl</td>
<td align="center" valign="middle">11.86</td>
<td align="center" valign="middle">1.86</td>
<td align="center" valign="middle">12.44</td>
<td align="center" valign="middle">1.98</td>
<td align="center" valign="middle">-1.438</td>
<td align="center" valign="middle">0.154</td>
</tr>
<tr>
<td align="left" valign="middle">TLC (cells/cumm)</td>
<td align="left" valign="middle">4,000-11,000 cells/cumm</td>
<td align="center" valign="middle">9311</td>
<td align="center" valign="middle">2877</td>
<td align="center" valign="middle">8049</td>
<td align="center" valign="middle">1780</td>
<td align="center" valign="middle">2.502</td>
<td align="center" valign="middle"><bold>0.014</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Platelets (lakh)</td>
<td align="left" valign="middle">1.5-2.5 lakh</td>
<td align="center" valign="middle">2.90</td>
<td align="center" valign="middle">1.06</td>
<td align="center" valign="middle">2.60</td>
<td align="center" valign="middle">0.74</td>
<td align="center" valign="middle">1.559</td>
<td align="center" valign="middle">0.123</td>
</tr>
<tr>
<td align="left" valign="middle">HbA1c (%)</td>
<td align="left" valign="middle">Below 5.7%</td>
<td align="center" valign="middle">5.42</td>
<td align="center" valign="middle">0.40</td>
<td align="center" valign="middle">5.30</td>
<td align="center" valign="middle">0.53</td>
<td align="center" valign="middle">1.215</td>
<td align="center" valign="middle">0.227</td>
</tr>
<tr>
<td align="left" valign="middle">RBS (mg/dl)</td>
<td align="left" valign="middle">70-140 mg/dl</td>
<td align="center" valign="middle">141.84</td>
<td align="center" valign="middle">30.21</td>
<td align="center" valign="middle">135.20</td>
<td align="center" valign="middle">22.70</td>
<td align="center" valign="middle">1.180</td>
<td align="center" valign="middle">0.241</td>
</tr>
<tr>
<td align="left" valign="middle">ESR in first-hour (mm/h)</td>
<td align="left" valign="middle">0 to 15 mm/h in males; 0 to 20 mm/h in females</td>
<td align="center" valign="middle">19.18</td>
<td align="center" valign="middle">6.34</td>
<td align="center" valign="middle">16.62</td>
<td align="center" valign="middle">3.56</td>
<td align="center" valign="middle">2.357</td>
<td align="center" valign="middle"><bold>0.021</bold></td>
</tr>
<tr>
<td align="left" valign="middle">CRP (mg/dl)</td>
<td align="left" valign="middle">&lt;5 mg/l</td>
<td align="center" valign="middle">11.36</td>
<td align="center" valign="middle">5.84</td>
<td align="center" valign="middle">2.44</td>
<td align="center" valign="middle">1.69</td>
<td align="center" valign="middle">9.840</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum urea (mg/dl)</td>
<td align="left" valign="middle">5 to 20 mg/dl</td>
<td align="center" valign="middle">24.76</td>
<td align="center" valign="middle">7.96</td>
<td align="center" valign="middle">21.99</td>
<td align="center" valign="middle">3.53</td>
<td align="center" valign="middle">2.138</td>
<td align="center" valign="middle"><bold>0.035</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum creatinine (mg/dl)</td>
<td align="left" valign="middle">0.7 to 1.3 mg/dl</td>
<td align="center" valign="middle">0.96</td>
<td align="center" valign="middle">0.55</td>
<td align="center" valign="middle">0.91</td>
<td align="center" valign="middle">0.54</td>
<td align="center" valign="middle">0.447</td>
<td align="center" valign="middle">0.656</td>
</tr>
<tr>
<td align="left" valign="middle">Serum sodium (mEq/l)</td>
<td align="left" valign="middle">135 to 145 mEq/l</td>
<td align="center" valign="middle">140.47</td>
<td align="center" valign="middle">3.63</td>
<td align="center" valign="middle">140.04</td>
<td align="center" valign="middle">2.75</td>
<td align="center" valign="middle">0.622</td>
<td align="center" valign="middle">0.536</td>
</tr>
<tr>
<td align="left" valign="middle">Serum potassium (mEq/l)</td>
<td align="left" valign="middle">3.5 to 5.5 mEq/l</td>
<td align="center" valign="middle">4.18</td>
<td align="center" valign="middle">0.69</td>
<td align="center" valign="middle">3.95</td>
<td align="center" valign="middle">0.23</td>
<td align="center" valign="middle">2.160</td>
<td align="center" valign="middle"><bold>0.033</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum magnesium (mg/dl)</td>
<td align="left" valign="middle">1.6-2.5 mg/dl</td>
<td align="center" valign="middle">1.95</td>
<td align="center" valign="middle">0.18</td>
<td align="center" valign="middle">2.02</td>
<td align="center" valign="middle">0.14</td>
<td align="center" valign="middle">-2.235</td>
<td align="center" valign="middle"><bold>0.028</bold></td>
</tr>
<tr>
<td align="left" valign="middle">SGPT (U/l)</td>
<td align="left" valign="middle">7 to 56 U/l</td>
<td align="center" valign="middle">44.82</td>
<td align="center" valign="middle">18.60</td>
<td align="center" valign="middle">37.69</td>
<td align="center" valign="middle">9.58</td>
<td align="center" valign="middle">2.287</td>
<td align="center" valign="middle"><bold>0.025</bold></td>
</tr>
<tr>
<td align="left" valign="middle">SGOT (U/l)</td>
<td align="left" valign="middle">8 to 45 U/l</td>
<td align="center" valign="middle">38.49</td>
<td align="center" valign="middle">11.25</td>
<td align="center" valign="middle">34.33</td>
<td align="center" valign="middle">9.92</td>
<td align="center" valign="middle">1.859</td>
<td align="center" valign="middle">0.066</td>
</tr>
<tr>
<td align="left" valign="middle">Serum total bilirubin (mg/dl)</td>
<td align="left" valign="middle">0.1 to 1.2 mg/dl</td>
<td align="center" valign="middle">0.93</td>
<td align="center" valign="middle">0.30</td>
<td align="center" valign="middle">0.91</td>
<td align="center" valign="middle">0.30</td>
<td align="center" valign="middle">0.248</td>
<td align="center" valign="middle">0.805</td>
</tr>
<tr>
<td align="left" valign="middle">Serum ALP (IU/l)</td>
<td align="left" valign="middle">44 to 147 IU/l</td>
<td align="center" valign="middle">96.02</td>
<td align="center" valign="middle">36.12</td>
<td align="center" valign="middle">81.96</td>
<td align="center" valign="middle">21.19</td>
<td align="center" valign="middle">2.253</td>
<td align="center" valign="middle"><bold>0.027</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum cholesterol (mg/dl)</td>
<td align="left" valign="middle">&lt;200 mg/dl</td>
<td align="center" valign="middle">160.88</td>
<td align="center" valign="middle">30.11</td>
<td align="center" valign="middle">145.35</td>
<td align="center" valign="middle">17.40</td>
<td align="center" valign="middle">2.996</td>
<td align="center" valign="middle"><bold>0.004</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum triglycerides (mg/dl)</td>
<td align="left" valign="middle">&lt;150 mg/dl</td>
<td align="center" valign="middle">179.69</td>
<td align="center" valign="middle">34.94</td>
<td align="center" valign="middle">176.64</td>
<td align="center" valign="middle">16.34</td>
<td align="center" valign="middle">0.530</td>
<td align="center" valign="middle">0.598</td>
</tr>
<tr>
<td align="left" valign="middle">Serum HDL (mg/dl)</td>
<td align="left" valign="middle">&gt;40 mg/dl</td>
<td align="center" valign="middle">37.20</td>
<td align="center" valign="middle">15.83</td>
<td align="center" valign="middle">43.91</td>
<td align="center" valign="middle">8.17</td>
<td align="center" valign="middle">-2.527</td>
<td align="center" valign="middle"><bold>0.013</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum LDL (mg/dl)</td>
<td align="left" valign="middle">&lt;100 mg/dl</td>
<td align="center" valign="middle">107.74</td>
<td align="center" valign="middle">23.75</td>
<td align="center" valign="middle">98.11</td>
<td align="center" valign="middle">16.66</td>
<td align="center" valign="middle">2.227</td>
<td align="center" valign="middle"><bold>0.029</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum VLDL (mg/dl) LD</td>
<td align="left" valign="middle">2 to 30 mg/dl</td>
<td align="center" valign="middle">35.94</td>
<td align="center" valign="middle">6.99</td>
<td align="center" valign="middle">35.33</td>
<td align="center" valign="middle">3.27</td>
<td align="center" valign="middle">0.530</td>
<td align="center" valign="middle">0.598</td>
</tr>
<tr>
<td align="left" valign="middle">LDL-HDL ratio</td>
<td align="left" valign="middle">below 5:1</td>
<td align="center" valign="middle">2.85</td>
<td align="center" valign="middle">1.58</td>
<td align="center" valign="middle">1.57</td>
<td align="center" valign="middle">0.50</td>
<td align="center" valign="middle">5.219</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values in bold font indicate statistically significant differences (P&lt;0.05). Cases, patients with rheumatoid arthritis; Controls, healthy controls; TLC, total leucocyte count; HbA1c, hemoglobin A1c; RBS, random blood sugar; ESR, erythrocyte sedimentation rate; CRP, C-reactive protein; SGPT, serum glutamic pyruvic transaminase; SGOT, serum glutamic-oxaloacetic transaminase; ALP, alkaline phosphatase; HDL, high-density lipoprotein; LDL, low-density lipoprotein; VLDL, very low-density lipoprotein.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-MI-4-5-00176" position="float">
<label>Table IV</label>
<caption><p>Correlation of DAS score with cardiovascular risk factors.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Cardiovascular risk factors</th>
<th align="center" valign="middle">r value</th>
<th align="center" valign="middle">Level of correlation</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">BMI</td>
<td align="center" valign="middle">-0.055</td>
<td align="center" valign="middle">Weak</td>
<td align="center" valign="middle">0.606</td>
</tr>
<tr>
<td align="left" valign="middle">CRP</td>
<td align="center" valign="middle">0.730</td>
<td align="center" valign="middle">Strong</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum cholesterol</td>
<td align="center" valign="middle">0.319</td>
<td align="center" valign="middle">Mild</td>
<td align="center" valign="middle"><bold>0.002</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum TGL</td>
<td align="center" valign="middle">0.127</td>
<td align="center" valign="middle">Weak</td>
<td align="center" valign="middle">0.232</td>
</tr>
<tr>
<td align="left" valign="middle">Serum HDL</td>
<td align="center" valign="middle">-0.219</td>
<td align="center" valign="middle">Weak</td>
<td align="center" valign="middle"><bold>0.038</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum LDL</td>
<td align="center" valign="middle">0.462</td>
<td align="center" valign="middle">Mild</td>
<td align="center" valign="middle"><bold>0.033</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum VLDL</td>
<td align="center" valign="middle">0.127</td>
<td align="center" valign="middle">Weak</td>
<td align="center" valign="middle">0.232</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values in bold font indicate statistically significant differences (P&lt;0.05). BMI, body mass index; CRP, C-reactive protein; TGL, triglycerides; HDL, high-density lipoprotein; LDL, low-density lipoprotein; VLDL, very low-density lipoprotein.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-MI-4-5-00176" position="float">
<label>Table V</label>
<caption><p>Comparison of CAC score between the groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="2"> </th>
<th align="center" valign="middle" colspan="2">Cases (n=45)</th>
<th align="center" valign="middle" colspan="2">Controls (n=45)</th>
<th align="center" valign="middle"> </th>
</tr>
<tr>
<th align="left" valign="middle">CAC score</th>
<th align="center" valign="middle">Total (n=90)</th>
<th align="center" valign="middle">No. of participants</th>
<th align="center" valign="middle">%</th>
<th align="center" valign="middle">No. of participants</th>
<th align="center" valign="middle">%</th>
<th align="center" valign="middle">P-value (Fisher's exact test)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">0 (No evidence of CAD)</td>
<td align="center" valign="middle">50 (55.6)</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">22.2</td>
<td align="center" valign="middle">40</td>
<td align="center" valign="middle">88.9</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">1-10 (Minimal)</td>
<td align="center" valign="middle">13 (14.4)</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">22.2</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">6.7</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">11-100 (Mild)</td>
<td align="center" valign="middle">8 (8.9)</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">13.3</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">4.4</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">101-400 (Moderate)</td>
<td align="center" valign="middle">11 (12.2)</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">24.4</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0.0</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">≥401 (Severe)</td>
<td align="center" valign="middle">8 (8.9)</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">17.8</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0.0</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Mean CAC score ± SD (range)</td>
<td align="center" valign="middle">123.70±263.49 (0-1,350)</td>
<td align="center" valign="middle" colspan="2">246.80±330.81 (0-1,350)</td>
<td align="center" valign="middle" colspan="2">0.600±0.251 (0-13)</td>
<td align="center" valign="middle">N/A</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values in bold font indicate statistically significant differences (P&lt;0.05). Cases, patients with rheumatoid arthritis; Controls, healthy controls; CAC, coronary artery calcium; CAD, coronary artery disease.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tVI-MI-4-5-00176" position="float">
<label>Table VI</label>
<caption><p>Comparison of the CIMT between the groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Group</th>
<th align="center" valign="middle">No. of subjects</th>
<th align="center" valign="middle">Min.</th>
<th align="center" valign="middle">Max.</th>
<th align="center" valign="middle">Mean</th>
<th align="center" valign="middle">S.D.</th>
<th align="center" valign="middle">t-test (P-value)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Cases</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="middle">0.712</td>
<td align="center" valign="middle">1.310</td>
<td align="center" valign="middle">1.050</td>
<td align="center" valign="middle">0.218</td>
<td align="center" valign="middle">17.277 (0.001)<sup><xref rid="tfna-MI-4-5-00176" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Controls</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="middle">0.412</td>
<td align="center" valign="middle">0.518</td>
<td align="center" valign="middle">0.479</td>
<td align="center" valign="middle">0.040</td>
<td align="center" valign="middle"> </td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">0.412</td>
<td align="center" valign="middle">1.310</td>
<td align="center" valign="middle">0.764</td>
<td align="center" valign="middle">0.327</td>
<td align="center" valign="middle"> </td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfna-MI-4-5-00176"><p><sup>a</sup>Indicates a statistically significant difference. Cases, patients with rheumatoid arthritis; Controls, healthy controls; CIMT, carotid intima-media thickness.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tVII-MI-4-5-00176" position="float">
<label>Table VII</label>
<caption><p>Correlation of CIMT and CAC scores with cardiovascular risk factors.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle"> </th>
<th align="center" valign="middle" colspan="3">CIMT</th>
<th align="center" valign="middle" colspan="3">CAC score</th>
</tr>
<tr>
<th align="left" valign="middle">Cardiovascular risk factors</th>
<th align="center" valign="middle">r value</th>
<th align="center" valign="middle">Level of correlation</th>
<th align="center" valign="middle">P-value</th>
<th align="center" valign="middle">r value</th>
<th align="center" valign="middle">Level of correlation</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">BMI</td>
<td align="center" valign="middle">-0.068</td>
<td align="left" valign="middle">Weak</td>
<td align="center" valign="middle">0.522</td>
<td align="center" valign="middle">-0.046</td>
<td align="left" valign="middle">Weak</td>
<td align="center" valign="middle">0.664</td>
</tr>
<tr>
<td align="left" valign="middle">CRP</td>
<td align="center" valign="middle">0.880</td>
<td align="left" valign="middle">Strong</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
<td align="center" valign="middle">0.659</td>
<td align="left" valign="middle">Moderate</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum cholesterol</td>
<td align="center" valign="middle">0.319</td>
<td align="left" valign="middle">Mild</td>
<td align="center" valign="middle"><bold>0.002</bold></td>
<td align="center" valign="middle">0.306</td>
<td align="left" valign="middle">Mild</td>
<td align="center" valign="middle"><bold>0.003</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum triglycerides</td>
<td align="center" valign="middle">0.356</td>
<td align="left" valign="middle">Mild</td>
<td align="center" valign="middle"><bold>0.001</bold></td>
<td align="center" valign="middle">0.567</td>
<td align="left" valign="middle">Moderate</td>
<td align="center" valign="middle">&lt;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Serum HDL</td>
<td align="center" valign="middle">-0.240</td>
<td align="left" valign="middle">Weak</td>
<td align="center" valign="middle"><bold>0.023</bold></td>
<td align="center" valign="middle">-0.45</td>
<td align="left" valign="middle">Weak</td>
<td align="center" valign="middle">0.671</td>
</tr>
<tr>
<td align="left" valign="middle">Serum LDL</td>
<td align="center" valign="middle">0.462</td>
<td align="left" valign="middle">Mild</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
<td align="center" valign="middle">0.336</td>
<td align="left" valign="middle">Mild</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Serum VLDL</td>
<td align="center" valign="middle">0.356</td>
<td align="left" valign="middle">Mild</td>
<td align="center" valign="middle"><bold>0.001</bold></td>
<td align="center" valign="middle">0.567</td>
<td align="left" valign="middle">Moderate</td>
<td align="center" valign="middle"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Age, years</td>
<td align="center" valign="middle">0.145</td>
<td align="left" valign="middle">Weak</td>
<td align="center" valign="middle">0.174</td>
<td align="center" valign="middle">0.058</td>
<td align="left" valign="middle">Weak</td>
<td align="center" valign="middle">0.590</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values in bold font indicate statistically significant differences (P&lt;0.05). CAC, coronary artery calcium; CIMT, carotid intima-media thickness; BMI, body mass index, CRP, C-reactive protein; HDL, high-density lipoprotein; LDL, low-density lipoprotein; VLDL, very low-density lipoprotein.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
