Predictive value of combining the level of fibrinogen and antithrombin III for contrast‑induced nephropathy in coronary artery disease patients undergoing percutaneous coronary intervention

  • Authors:
    • Yanhu Sun
    • Di Zheng
    • Quan Zhang
    • Wenhua Li
  • View Affiliations

  • Published online on: July 22, 2020     https://doi.org/10.3892/br.2020.1333
  • Article Number: 26
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Abstract

Contrast‑induced nephropathy (CIN) is a common adverse event in the diagnosis and treatment of coronary intervention. The current study investigated the predictive effect of preoperative fibrinogen (FIB) combined with antithrombin III (AT‑III) on CIN following percutaneous coronary intervention (PCI). A total of 394 patients who underwent PCI between October 2018 and May 2019 were selected for the present study. Pre‑procedural FIB levels and AT‑III activity were measured before PCI. CIN was defined as a 0.5 mg/dl or 25% increase in serum creatinine levels 48 to 72 h after exposure to a radiocontrast agent. Patients were classified into CIN and non‑CIN groups. CIN occurred in 48 (12.2%) patients. The serum FIB levels were significantly higher in patients who developed CIN compared with those who did not develop CIN. In addition, AT‑III levels ≤89.5% were associated with higher rates of CIN. Logistical regression analysis showed that high FIB, and low AT‑III and albumin levels were high‑risk factors associated with CIN. For FIB, the area under the receiver operating characteristic curve (AUC) for predicting CIN was 0.653. The optimal cut‑off value was 3.48 g/l with a sensitivity of 45.8% and a specificity of 79.7% [95% confidence interval (CI): 0.603‑0.701; P=0.0002)]. For AT‑III, the AUC was 0.711, and the optimal cut‑off value was 89.5%, with a sensitivity of 81.3% and specificity of 58.2% (95% CI: 0.659‑0.758; P<0.0001). When combining FIB and AT‑III, the AUC was 0.747. The optimal cut‑off value was 0.090424, with a diagnostic sensitivity of 93.8% and specificity of 46.6% (95% CI: 0.697‑0.792; P<0.0001). The results showed that FIB combined with AT‑III resulted in improved predictive accuracy of CIN (FIB vs. AT‑III, AUC=0.653 vs. 0.711, P=0.292; FIB vs. FIB + AT‑III, AUC=0.653 vs. 0.747, P=0.012; AT‑III vs. FIB + AT‑III, AUC=0.711 vs. 0.747, P=0.138). Pre‑procedural levels of FIB, AT‑III and albumin were independently associated with an increased risk of CIN. Furthermore, the results suggested that the combination of FIB and AT‑III was a better predictor of CIN after PCI.

Introduction

Contrast-induced nephropathy (CIN) is a common adverse event observed in the diagnosis and treatment of coronary intervention (1). Renal function appears to deteriorate rapidly after the injection of an iodine contrast agent. CIN was first described in the 1950s in case reports of fatal acute renal failure that had occurred following intravenous pyelography in patients with renal disease arising from multiple myeloma (2). In the majority of cases, CIN is considered non-oliguric acute renal failure, with patients exhibiting asymptomatic transient decline in renal function. As a result, CIN may go undetected by clinicians who do not assess renal function in the days following contrast administration (3). The generally accepted definition of CIN is a 25% relative increase, or a 0.5 mg/dl (44 mmol/l) absolute increase, in Scr levels within 48-72 h of contrast exposure, in the absence of an alternative explanation (4). The rise in Scr levels peaks after 3-5 days, and returns to baseline levels within 10-14 days (5). Risk factors associated with CIN include chronic kidney disease, contrast type and dose, diabetes mellitus, route of administration (intravenous vs. intra-arterial), congestive heart failure, age and use of nonsteroidal anti-inflammatory drugs (6). CIN prolongs hospitalization time and cost, and also worsens clinical symptoms, increases the incidence of adverse events, and carries with it a heavy economic burden for the patients and society (7). CIN is observed in 6-15.7% of patients who undergo coronary angiography in the setting of acute coronary syndrome (ACS) and contemporary management (8). At present, the pathogenesis of CIN is not fully understood, and there is no clear treatment. Therefore, early recognition of high-risk groups is particularly crucial for active prevention and treatment of CIN. Although several scoring systems used to predict the risk of CIN based on risk factors have been developed, identification of novel biomarkers may also assist in identifying at risk patients. Fibrinogen (FIB) or antithrombin III (AT-III) alone possess relatively little value for predicting the risk of CIN; however, the combination of the two factors has not been previously explored, to the best of our knowledge. Therefore, the current prospective study investigated the value of FIB combined with AT-III for predicting the risk of CIN after percutaneous coronary intervention (PCI).

Patients and methods

Patient population

All patients undergoing PCI admitted to The Affiliated Hospital of Xuzhou Medical University (Xuzhou, China) between October 2018 and May 2019 were prospectively enrolled in the present study. The exclusion criteria were: i) Administration of radio-contrast agents 48 h prior to the procedure or 72 h post-procedure; ii) lack of data on pre-procedural or post-procedural Scr levels; iii) administration of nonsteroidal nephrotoxic drugs 48 h before or 72 h post-PCI; iv) chronic kidney disease; v) patients with a malignant tumor, autoimmune disease, those who had undergone surgery recently, or patients with a history of trauma within the preceding month; vi) patients with a pulmonary thromboembolism, venous thromboembolism or a history of peripheral vascular disease; and vii) patients with infectious or inflammatory diseases. The contrast agent used was the low-osmotic and nonionic contrast agent iohexol, which was administered by injection (Yangtze River Pharmaceutical Group); the osmotic concentration was ~800 mOsm/Kg.

The final study population consisted of 394 patients (242 men and 152 women). The ages of the patients ranged from 29-95 years, with a median age of 66 years. In the CIN group, the age ranged from 42-95 years, with a median age of 67 years, including 29 men and 19 women. In the non-CIN group, the age ranged from 29-85 years, with a median age of 66 years, and consisted of 213 men and 119 women. Patients were hydrated using normal saline at a rate of 1 ml/kg/h at the start of the procedure or just before the procedure, and was continued for 12 h after the procedure ended. For emergency coronary interventional procedures, physiological (0.9%) saline was administered intravenously at a rate of 1 ml/kg/h for 12 h following contrast exposure. Coronary angiography and PCI were performed by interventional cardiologists, according to the standard clinical practice using the radial or femoral approach (9). All patients were administered aspirin (loading dose, 300 mg) and clopidogrel (loading dose, 300 mg) or ticagrelor (180 mg) upon presentation, and were subsequently administered a daily dose of aspirin (100 mg/day) and clopidogrel (75 mg/day) or ticagrelor (90 mg/day). The study protocol was performed in accordance with the Declaration of Helsinki (10) and was approved by the Ethics Committee of the Affiliated Hospital of Xuzhou Medical University. All patients provided written informed consent.

Diagnosis of CIN

CIN was defined as a Scr level that was 25% higher than before intravenous injection of contrast media, or an absolute value of 44.2 µmol/l (0.5 mg/dl) within 48 to 72 h, with other causes of renal damage excluded (11). According to the changes of Scr levels, patients were divided into a CIN group and non-CIN group.

Data collection

For all patients, the demographic characteristics, medical history, and variables related to the procedure were recorded. Routine laboratory data before and after the PCI procedures included routine tests of blood, liver and kidney function, as well as measurements of serum lipids, glucose, FIB and AT-III levels, amongst others.

All Scr levels were measured in a biochemical laboratory at the hospital using an Olympus AU2700 automatic biochemical analyzer (Olympus Corporation).

FIB and AT-III were measured using a Sysmex CA-7000 automatic coagulation analyzer and the analyzers original matching reagent (JEOL, Ltd.).

The estimated glomerular filtration rate was calculated using a modification of diet in renal disease equation for patients as follows: GFR (ml/min/1.73 m2)=186 x Scr (mg/dl)-1.154 x age (years)-0.203 x (0.742 if female) (12).

Statistical analysis

All statistical analyses were performed using SPSS version 21.0 (IBM Corp.). For normally distributed data, continuous variables are shown as the mean ± the standard deviation. Otherwise, the median and interquartile range (25-75% values) are displayed, and non-parametric tests were used for analysis. Categorical variables are shown as the number and percentage (%), and were compared using a χ2 test or Fisher's exact test. Comparison of parametric values between two groups was performed using an independent-samples Student's t-test. Comparisons of nonparametric values between two groups were compared using a Mann-Whitney U-test. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values of FIB and AT-III levels for detection of CIN using MedCalc version 19.06.6 (MedCalc Software byba). Multiple logistical regression analysis was used to identify independent risk factors of CIN. P<0.05 was considered to indicate a statistically significant difference.

Results

Baseline clinical characteristics and laboratory findings of the patients

The recruited cohort consisted of 394 patients receiving PCI with a mean age of 64.4±11.1 years, and 242 patients (61.4%) were men. A total of 48 (12.2%) patients developed CIN. The univariate analysis of the clinicopathological characteristics and the baseline of the assessed parameters, including the conventional risk factors for CIN between the patients with and without CIN are shown in Table I. Distribution of sexes, hypertension and smoking status did not differ significantly between thew two groups. Additionally, there were no significant differences observed between the CIN and the non-CIN groups regarding the use of antihypertensive, antiplatelet or anti-ischemic, lipid-lowering drugs, or oral antidiabetic drugs. The average dose of contrast media in the CIN group was significantly larger than the dose administered in the non-CIN group (P=0.024).

Table I

Baseline clinical characteristics of the CIN and non-CIN groups.

Table I

Baseline clinical characteristics of the CIN and non-CIN groups.

VariablesNon-CIN, n=346CIN, n=48P-value
Age, years64.17±10.9566.44±11.720.182
Sex, male, n (%)213 (61.6)29 (60.4)0.879
Smoker, n (%)114 (32.9)20 (41.7)0.234
hypertension, n (%)199 (57.5)27 (56.3)0.868
Diabetes, n (%)82 (23.7)12 (25.0)0.843
Body mass index, kg/m225.88±3.3425.29±4.190.268
Systolic blood pressure, mmHg133.14±19.47131.33±24.540.626
Diastolic blood pressure, mmHg78.55±11.7079.42±14.860.700
Contrast media, ml112.67±43.09127.50±37.270.024a
AMI, n (%)108 (31.2)23 (47.9)0.021a
Medication
     β-blocker, n (%)288 (83.2)40 (83.3)0.987
     ACEI/ARB, n (%)193 (55.8)25 (52.1)0.629
     CCB, n (%)94 (27.2)13 (27.1)0.990
     Diuretics, n (%)118 (34.1)25 (52.1)0.015a
     Statin, n (%)319 (92.2)46 (95.8)0.366
     LMWH, n (%)154 (44.5)32 (66.7)0.004b
     Nitrates, n (%)221 (63.9)31 (64.6)0.923

[i] aP<0.05,

[ii] bP<0.01. CIN, contrast-induced nephropathy; AMI, acute myocardial infarction; ACEI/ARB, angiotensin converting enzyme inhibitors/angiotensin receptor blocker; CCB, calcium channel blockers; LMWH, low molecular weight heparin.

Patients who developed CIN were likely to exhibit higher levels of FIB (P=0.001) and lower AT-III activity (P<0.001). Furthermore, these patients with CIN were likely to exhibit lower albumin levels (P<0.001). Patients who experienced a myocardial infarction were more likely to develop CIN (P=0.021). In the CIN group, the diuretic (P=0.015) and low molecular weight heparin usage (P=0.004) was significantly more common. The results of laboratory analysis are presented in Table II.

Table II

Laboratory results of the CIN and non-CIN groups.

Table II

Laboratory results of the CIN and non-CIN groups.

A, Pre-operative
VariablesNon-CIN, n=348aCIN, n=49aP-value
Triglyceride, mmol/l1.35 (1.01-1.91)1.26 (0.95-1.52)0.204
Total cholesterol, mmol/l4.43±1.184.28±1.070.44
High-density lipoprotein, mmol/l1.12 (0.95-1.32)1.13 (0.98-1.36)0.72
Low-density lipoprotein, mmol/l2.70±1.002.59±0.790.563
Albumin, g/l42.79±4.4739.33±3.93 <0.001b
Glucose, mmol/l6.71±2.587.15±3.020.301
Fibrinogen, g/l2.90 (2.42-3.35)3.23 (2.80-3.80)0.001b
Antithrombin III, %91.54±11.7383.65±10.93 <0.001b
NLR2.99 (2.05-5.03)3.29 (2.41-5.85)0.305
PLR139.00 (105.63-179.00)146.32 (112.31-191.67)0.163
Serum creatinine, µmol/l67.00 (57.00-78.25)67.00 (54.00-75.50)0.299
Cystatin C, mg/l0.78 (0.71-0.91)0.81 (0.71-0.88)0.985
Uric acid, µmol/l306.50 (248.00-365.00)296.50 (258.00-349.75)0.513
eGFR, ml/min101.84±24.19107.04±34.230.313
B, Post-operative
Serum creatinine, µmol/l67.00 (57.00-78.00)87.00 (73.75-102.5) <0.001b
Cystatin C, mg/l0.74 (0.67-0.86)0.84 (0.74-1.08) <0.001b
Uric acid, µmol/l280.00 (222.75-353.25)332.00 (268.00-411.50)0.001
eGFR, ml/min101.05±25.9875.54±25.04 <0.001b

[i] aData are presented as the mean ± standard deviation or the median and interquartile range (25-75%).

[ii] bP≤0.001. CIN, contrast-induced nephropathy; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; eGFR, estimated glomerular filtration rate.

Multiple logistical regression analysis of risk factors for CIN

Multiple logistical regression analysis included the following factors: Acute myocardial infarction, albumin, contrast media volume, FIB, AT-III, and diuretic and low molecular weight heparin usage. Multivariate analyses indicated that albumin [odds ratio (OR), 0.893; 95% confidence intervals (CI), 0.815-0.978; P=0.015), FIB (OR, 1.613; 95% CI, 1.127-2.306; P=0.009) and AT-III (OR, 0.946; 95% CI, 0.916-0.977; P=0.001), were independent predictors for CIN (Table III).

Table III

Multiple logistical regression analysis of risk factors for CIN.

Table III

Multiple logistical regression analysis of risk factors for CIN.

VariablesBSEWald-valueP-valueOdds ratio95% confidence intervals
Albumin-0.1140.0475.9580.015a0.8930.815-0.978
AT-III-0.0550.01611.3320.001b0.9460.916-0.977
FIB0.4780.1836.8480.009b1.6131.127-2.306
Contrast media0.0060.0042.2380.1351.0060.998-1.015
AMI0.2230.3910.3270.5681.2500.581-2.690
Diuretic-0.1680.3580.2200.6390.8450.419-1.705
LMWH-0.5530.3792.1340.1440.5750.274-1.208

[i] aP<0.05,

[ii] bP<0.01. CIN, contrast-induced nephropathy; B, regression coefficient; SE, standard error of the mean; AT-III, antithrombin III; FIB, fibrinogen; AMI, acute myocardial infarction; LMWH, low molecular weight heparin.

Value of FIB and AT-III in predicting CIN

Regarding FIB, the area under the ROC curve (AUC) for predicting CIN was 0.653. The optimal cut-off value was 3.48 g/l with a sensitivity of 45.8% and specificity of 79.7% (95% CI, 0.603-0.701; P=0.0002). For AT-III, the AUC was 0.711, and the optimal cut-off value was 89.5% with a sensitivity of 81.3% and specificity of 58.2% (95% CI, 0.659-0.758; P<0.001). FIB and AT-III were incorporated into the CIN risk factor regression analysis. The probability of the combination of FIB and AT-III predicting the occurrence of CIN was: Logit (P)=2.059+0.600 FIB-0.066 AT-III. The optimal cut-off value for the combination was calculated; when the predicted incidence of CIN was higher than 0.090424, patients were more likely to exhibit CIN following PCI. When combining FIB and AT-III, the AUC was 0.747. The optimal cut-off value was 0.090424, with a diagnostic sensitivity of 93.8% and specificity of 46.6% (95% CI, 0.697-0.792; P<0.001). FIB combined with AT-III exhibited improved predictive accuracy in of CIN (FIB vs. AT-III, AUC=0.653 vs. 0.711, P=0.292; FIB vs. FIB + AT-III, AUC=0.653 vs. 0.747, P=0.012; AT-III vs. FIB + AT-III, AUC=0.711 vs. 0.747, P=0.138). The results of ROC analysis are presented in Table IV and Fig. 1.

Table IV

Predictive values of FIB and AT-III for CIN based on the receiver operating characteristic curves.

Table IV

Predictive values of FIB and AT-III for CIN based on the receiver operating characteristic curves.

VariablesAUCP-value95% CISensitivity (%)Specificity (%)Cut-off value
FIB0.6530.0002a0.603-0.70145.879.73.48 g/l
AT-III0.711 <0.0001a0.659-0.75881.358.289.5%
FIB + AT-III0.747 <0.0001a0.697-0.79293.846.60.090424

[i] aP<0.001. FIB, fibrinogen; AT-III, antithrombin III; AUC, area under the curve; CI, confidence interval; AUC, area under the curve.

Discussion

The present study demonstrated that FIB, AT-III and albumin were independent predictors of CIN in patients undergoing PCI. Based on the results of the present study, the risk of CIN increased as the level of FIB increased or the activity of AT-III decreased. This study also suggested that the combination of FIB and AT-III was a better predictor of CIN after PCI.

With the increasing number of interventional procedures available, more patients will inevitably be assessed using iodine contrast agents as interventional procedures require its use, and these contrast reagents are associated with an increased risk of acute kidney injury (13). CIN results in a rapid decline of kidney function after administration of iodinated contrast material (14). CIN is one of the most common causes of hospitalization in patients with acquired kidney injury, and is known to increase the rates of morbidity and mortality, increase the costs of health care, as well as prolong the duration of hospitalization (15). At present, there are no specific treatment options for CIN (16). Therefore, early identification and intervention of patients with a high risk of experiencing CIN clinical events, is of great significance for improving patient outcomes.

FIB is a serum glycoprotein synthesized by hepatocytes. It is a major plasma coagulation factor and serves an important role in the inflammatory process (17). Increased levels of FIB result in an increase in blood viscosity, leading to shear stress damage in endothelial cells (18). Studies have shown that FIB in tissues is significantly elevated in acute kidney injury caused by ischemia-reperfusion (19-21). FIB causes severe renal dysfunction by increasing renal fibrosis (22).

Numerous previous studies have shown that serum FIB levels are associated with cardiovascular risk factors or cardiovascular events (23-26). Furthermore, FIB is associated with acute kidney injury (27), and studies have shown that FIB levels in tissues are significantly elevated in ischemia-induced acute renal injury caused by ischemia-reperfusion (22). FIB is an important regulator of coagulation, inflammation, wound healing and angiogenesis, and functions by interacting with blood cells, endothelial cells and other types of cells (28). Additionally, FIB is an acute-phase protein and a marker of inflammation, as it is induced by cytokines, such as interleukin-6 (29,30); thus, its expression is increased during inflammation. Inflammation is one of the primary mechanisms involved in the pathogenesis of CIN (31). Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are common inflammatory markers. However, this difference was not significant. In addition, the increased levels of FIB may have increased blood viscosity, leading to insufficient perfusion of the kidney, and thus may increase the risk of CIN.

AT-III is the most important type of antithrombin, and its activity is often used as a laboratory indicator for judging anticoagulant levels and detection of thrombotic diseases (32). AT-III not only exhibited a strong anticoagulant effect, but also a strong anti-inflammatory effect. Thus AT-III levels may serve as a prognostic biomarker in neonatal sepsis, where a marked decrease in the levels of AT-III levels in septic neonates is observed (33). The decrease in the levels of AT-III is predictive of a poor outcome in sepsis (34). Furthermore, several studies have shown that AT-III exhibits a protective effect on contrast CIN (35). Previously, a study showed that patients with low levels of AT-III activity presented a high risk of developing acute kidney injury after cardiac surgery. Insufficiency of endogenous AT-III exacerbated the renal ischemia/reperfusion injury in rats (36). However, administration of exogenous AT-III may exhibit a protective effect against CIN through its anti-inflammatory and antioxidant effects, as well as by improving renal blood flow (35). The levels of AT-III were associated with the severity of coronary artery stenosis (37). Previous studies suggested that in patients with coronary artery disease, AT-III activity was closely associated with a hypercoagulable state or thrombosis. Additionally, the decrease in AT-III activity may indicate acute coronary events, and the extent of the decrease in activity level was positively correlated with the degree of coronary stenosis (25,38-40).

However, to the best of our knowledge, there are no studies that have explored the value of combining FBI and AT-III to predict CIN. In the present study, it was shown that the combination of these two biomarkers exhibited improved predictive value for CIN. Additionally, a higher level of FIB was positively associated with the risk of CIN. In contrast to FIB, AT-III activity was a protective factor against CIN.

The present study has several limitations. First, the follow-up assessment of renal function was 1-3 days after PCI; therefore, a later increase in Scr levels in certain patients who did exhibit deteriorated renal function within 48 h of the procedure may have been missed. This oversight may result in a slight underestimation of CIN. Second, the number of enrolled patients was relatively small, particularly regarding patients with low AT-III activity levels, and all the patients recruited were from a single health care institution, and thus, a selection bias during enrollment was inevitable. In future studies, larger cohorts from multiple centers should be used to confirm the validity of the results presented.

In conclusion, the present study demonstrated that 3.48 g/l was the optimal cut-off value of preoperative FIB, and 89.5% was the optimal cut-off value of preoperative AT-III, which were effective predictors of CIN following PCI. Furthermore, the combination of FIB and AT-III was a better predictor of a high risk of CIN compared with FIB alone. These results may provide a simple and easy indicator for use in predicting the risk of CIN.

Acknowledgements

Not applicable.

Funding

No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

Authors' contributions

YS designed the study and drafted the manuscript. DZ collected the data. QZ analyzed the data. WL designed the study, analyzed data and edited the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study protocol was performed in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of the Affiliated Hospital of Xuzhou Medical University (Xuzhou, China). All patients provided written informed consent.

Patient consent for publication

All patients signed informed consent approved by the Institutional Review Board of the Affiliated Hospital of Xuzhou Medical University.

Competing interests

The authors declare that they have no competing interests.

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October-2020
Volume 13 Issue 4

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Spandidos Publications style
Sun Y, Zheng D, Zhang Q and Li W: Predictive value of combining the level of fibrinogen and antithrombin III for contrast‑induced nephropathy in coronary artery disease patients undergoing percutaneous coronary intervention. Biomed Rep 13: 26, 2020
APA
Sun, Y., Zheng, D., Zhang, Q., & Li, W. (2020). Predictive value of combining the level of fibrinogen and antithrombin III for contrast‑induced nephropathy in coronary artery disease patients undergoing percutaneous coronary intervention. Biomedical Reports, 13, 26. https://doi.org/10.3892/br.2020.1333
MLA
Sun, Y., Zheng, D., Zhang, Q., Li, W."Predictive value of combining the level of fibrinogen and antithrombin III for contrast‑induced nephropathy in coronary artery disease patients undergoing percutaneous coronary intervention". Biomedical Reports 13.4 (2020): 26.
Chicago
Sun, Y., Zheng, D., Zhang, Q., Li, W."Predictive value of combining the level of fibrinogen and antithrombin III for contrast‑induced nephropathy in coronary artery disease patients undergoing percutaneous coronary intervention". Biomedical Reports 13, no. 4 (2020): 26. https://doi.org/10.3892/br.2020.1333