Open Access

Impact of preoperative carbohydrate loading on postoperative course and morbidity in debulking surgery for epithelial ovarian cancer

  • Authors:
    • Tayfun Toptas
    • Isin Ureyen
    • Alper Kahraman
    • Mustafa Gokkaya
    • Necim Yalcin
    • Aysun Alci
    • Merve Cakir Kole
    • Selim Kandemi̇r
    • Mehmet Goksu
    • Nedim Akgul
    • Selen Dogan
  • View Affiliations

  • Published online on: March 4, 2024     https://doi.org/10.3892/etm.2024.12469
  • Article Number: 181
  • Copyright: © Toptas et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Despite the theoretical benefits, the favorable effect of preoperative carbohydrate loading on postoperative morbidity remains controversial. Most of the outcomes reported in the literature are derived from non‑gynecologic surgery data, with only one study involving a limited number of patients specifically in gynecological oncology. The present study aimed to investigate the impact of carbohydrate loading, as a single element of enhanced recovery after surgery protocols, on postoperative course and morbidity in patients undergoing debulking surgery for epithelial ovarian cancer (EOC). The present study was a non‑randomized, prospective cohort trial enrolling patients with EOC who underwent surgery between June 2018 and December 2021. An oral carbohydrate supplement with a dose of 50 g was given to patients 2‑3 h before anesthesia. Data on postoperative course and morbidity were collected and compared with data of a historical cohort including consecutive patients who underwent surgery without a carbohydrate loading between January 2015 and June 2018. Analyses were performed on a total of 162 patients, including 72 patients in the carbohydrate loading group and 90 patients in the control group. Median length of hospital stay (11 days vs. 11 days; P=0.555), postoperative days 1‑7 serum c‑reactive protein levels (P=0.213), 30‑day readmission (11.6% vs. 11.5%, P=0.985), 30‑day relaparotomy (2.8% vs. 3.4%, P=0.809) and 30‑day morbidity (48.6% vs. 46.7%; P=0.805) were comparable between the cohorts. No significant differences in grades of morbidities were identified between the cohorts (P=0.511). Multivariate analysis revealed that the sole independent risk factor for any postoperative morbidity was operative time. In conclusion, based on the results of the present study, postoperative course and morbidity seemed to be unaffected by carbohydrate loading in patients undergoing debulking surgery for EOC.

Introduction

The stress response to the surgery is characterized by various inflammatory, hormonal and immune changes in the body. Primarily, the release of cortisol, catecholamines, glucagon, IL-1 and IL-6 leads to the insulin resistance and impaired immune functions (1). Prolonged preoperative fasting deteriorates these responses by causing detrimental catabolic effects including increased glycogenolysis, proteolysis and lipolysis and decreased insulin sensitivity with normal insulin levels (2). Several studies have reported that actual fasting time for patients undergoing elective surgery is usually longer than 12 h due to the delays in the operating theatre schedule; meaning that most patients are exposed to prolonged fasting and dehydration (3,4).

Given the concerns of regurgitation and pulmonary aspiration, fasting after midnight has traditionally been offered to all surgical patients. However, it has been shown that there were no differences in terms of gastric volume and acidity and pulmonary complications between the patients who were fasted overnight and those allowed to drink clear liquids up to 2 h before surgery (5). Following these results, a paradigm shift has occurred in the timing and administration of preoperative solids and liquids over the last decade. The major anesthesiology societies have started to recommend clear liquids up to 2 h and solids up to 6 h before anesthesia (6,7). Although these recommendations would prevent dehydration, they are still insufficient in minimizing perioperative catabolic stress response.

In recent years, there has been growing interest in preoperative use of carbohydrate-enriched drinks in order to ensure a metabolically fed-state and to overcome catabolic stress response. It has been shown that avoiding prolonged fasting and giving clear liquids containing sufficient carbohydrates before surgery induces an anabolic state, promoting tissue healing by decreasing insulin resistance and inflammatory mediators such as IL-6(8). Currently, the consumption of at least 45 g of carbohydrate as a clear liquid 2-3 h preoperatively is considered as one of the key elements of enhanced recovery after surgery (ERAS) protocols (9).

Despite the theoretical benefits, however, the favorable effect of carbohydrate loading on postoperative morbidity has not been consistently demonstrated and remains controversial (10). Most of the outcomes reported in the literature were derived from non-gynecologic surgery data, with only one study involving a limited number of patients, specifically in gynecological oncology (11). The current study investigated the effect of preoperative carbohydrate loading as a single element of ERAS on postoperative course and morbidity in patients undergoing debulking surgery for epithelial ovarian cancer (EOC).

Materials and methods

Study design and endpoints

The present study was a non-randomized, prospective cohort trial enrolling consecutive patients with EOC who underwent debulking surgery, either primary or interval, at Antalya Training and Research Hospital between June 2018 and December 2021. Exclusion criteria were: Minimally invasive surgery, surgery for recurrent disease, hyperthermic intraperitoneal chemotherapy (HIPEC) and type 1 diabetes mellitus. The present study was approved by the Ethics Committee of the Antalya Training and Research Hospital (7 May, 2018; approval no. 021). Written informed consent was obtained from all participants.

Patients were fasted for solids from 02:00 a.m. the night before surgery, but were allowed to drink clear liquids until 06:00 a.m. on the day of surgery. An oral carbohydrate supplement (Nutricia Fantomalt®, Nutricia Turkiye), at a dose of 50 g diluted in 250 ml water, which contained 48 g carbohydrate and 192 kcal of energy was given to patients at 06:00 a.m. on the morning of surgery. The consumption time for the drink was 10 min. All patients underwent surgery as the first case of the day and operations were scheduled to start at 08:30 a.m.

Data regarding age, performance status, comorbidities, neoadjuvant chemotherapy, stage of the disease, tumor histotype, surgical resections, blood transfusion, operative time, need for intensive care unit (ICU), length of ICU stay, length of hospital stay, postoperative day 1 serum albumin level, postoperative day 1 to -7 serum c-reactive protein (CRP) levels, 30-day hospital readmission, 30-day relaparotomy, 30-day postoperative morbidities including deaths and the time interval between surgery and adjuvant therapy were collected following ethics committee approval.

Prospectively collected data of patients were compared with a historical cohort of consecutive patients who underwent debulking surgery for EOC at the same institution without a preoperative carbohydrate loading between January 2015 and June 2018.

Based on the results of previous studies (12,13) indicating a 50% reduction in postoperative morbidity with carbohydrate loading, it was calculated that a sample size of at least 68 patients per group was required to detect a 50% reduction in morbidity, with a two-sided 5% significance level and 80% power. It was anticipated that 90 patients with carbohydrate treatment would be recruited in this study based on a 1:1 ratio to the number of historical control group. However, 18 patients were excluded from the carbohydrate loading group: 7 had HIPEC, 8 had different primary tumor origin and 3 withdrew consent before surgery.

The primary endpoint of the present study was the effect of carbohydrate loading on postoperative course and morbidity and the secondary endpoint was determination of factors associated with postoperative morbidities. The postoperative morbidities were graded according to the Clavien-Dindo classification (14).

Perioperative management

Perioperative management strategies of patients, with the exception of fasting time and carbohydrate loading, were identical between the two cohorts. Patients in the historical cohort were subjected to conventional overnight fasting for solids and liquids. Although routinely implementing most of the ERAS elements in had been in the Antalya Training and Research Hospital since January 2015, there was not a strict policy in this regard.

A routine mechanical bowel preparation was not used in any patient. All patients received thromboembolism prophylaxis with a low-molecular weight heparin and wore anti-embolism stockings. An antimicrobial prophylaxis was initiated with 2 g of intravenous (IV) cefazolin within 60 min before skin incision and the dose was repeated every 3 h during the surgery. A vertical midline laparotomy was used in all patients. Perioperative fluid therapy was individualized according to invasive hemodynamic monitoring and urine output. The decision for ICU admission was at the discretion of the anesthesiologists. On postoperative day 1 the urinary catheter was removed and oral intake of clear liquids was allowed. The diet was advanced gradually as bowel functions returned. Drains were removed when the output decreased to <100 ml/24 h. Antibiotics were continued until drains were removed. Patients were discharged home if they were able to walk without assistance and tolerated regular diet.

Statistical analysis

Analyses were performed using SPSS version 20.0 (IBM Corp.). The differences between two cohorts were tested by independent samples T-test for parametric data and Mann-Whitney U-test for nonparametric data. Pearson Chi-Square test was used for comparison of categorical variables. Factors associated with postoperative morbidities were evaluated by both univariate and multivariate logistic regression analyses. Variables with a P<0.05 in univariate analyses were included into multivariate analyses. The effects of variables on morbidity were reported as adjusted odds ratios (OR) and 95% confidential intervals (CI). The predictive mean matching method was used in order to deal with missing values. Cut-off values of independent scale variables were calculated using receiver operating characteristic (ROC) analysis. An area under the curve value of >0.70 was considered satisfactory. For the ROC curve, the point with the largest sum of sensitivity and specificity was chosen as a threshold. P<0.05 was considered to indicate a statistically significant difference.

Results

The final analyses were performed on a total of 162 patients, including 72 patients in the carbohydrate loading group and 90 patients in the control group. Study groups were comparable for preoperative characteristics and histopathological findings (Table I) In both groups, the majority of patients had International Federation of Gynecology and Obstetrics stage (15) III-IV disease (72.3% vs. 67.7%) and received primary debulking surgery (68.1% vs. 65.6%).

Table I

Preoperative characteristics and histopathological findings.

Table I

Preoperative characteristics and histopathological findings.

 Preoperative carbohydrate loading 
VariableYes (n=72)No (n=90)P-value
Age, years, median (range)58 (22-80)58 (36-82)0.426c
ECOG performance status, n (%)  0.388d
     0-157 (79.2)66 (73.3) 
     ≥215 (20.8)24 (26.7) 
Comorbidities, n (%)24 (33.3)40 (44.4)0.151d
Cardiac comorbiditya14 (19.4)28 (31.1)0.092d
Pulmonary comorbidityb5 (6.9)9 (10.0)0.492d
Diabetes mellitus9 (12.5)15 (16.7)0.458d
Neoadjuvant chemotherapy, n (%)23 (31.9)31 (34.4)0.945d
     3 cycles9 (12.5)12 (13.3) 
     ≥4 cycles14 (19.4)19 (21.1) 
FIGO stage, n (%)  0.803d
     I13 (18.1)20 (22.2) 
     II7 (9.7)9 (10.0) 
     III30 (41.7)31 (34.4) 
     IV22 (30.6)30 (33.3) 
Tumor histotype, n (%)  0.830d
     High-grade serous49 (68.1)56 (62.2)0.440d
     Others   
Grade 2-3 endometrioid2 (2.8)2 (2.2) 
Carcinosarcoma2 (2.8)1 (1.1) 
     Clear cell6 (8.3)5 (5.6) 
     Low-grade serous5 (6.9)13 (14.4) 
     Grade 1 endometrioid4 (5.6)6 (6.7) 
     Mucinous3 (4.2)4 (4.4) 
     Seromucinous-1 (1.1) 
     Squamous cell carcinoma1 (1.4)1 (1.1) 
     Wolffian adnexal tumor-1 (1.1) 

[i] aAtherosclerotic disease, congestive heart failure, valvular disease, arrhythmia.

[ii] bAsthma, chronic obstructive pulmonary disease, pulmonary thromboembolic disease.

[iii] cIndependent samples T test;

[iv] dPearson Chi-Square test. ECOG, Eastern Cooperative Oncology Group; FIGO, International Federation of Gynecology and Obstetrics.

Intraoperative findings and surgical characteristics of study groups are summarized in Table II. There were no statistically significant differences between the groups in terms of ascites (36.1% vs. 38.9%), peritoneal carcinomatosis (61.1% vs. 57.8%), bowel resection (25.0% vs. 20.0%), peritonectomy (55.6% vs. 48.9%), splenectomy (12.5% vs. 12.2%), lymph node dissection (62.5% vs. 65.6%), rate of maximal cytoreduction (70.8% vs. 70.0%), median operative time (330 min vs. 330 min), blood transfusion (56.9% vs. 53.3%) and need for ICU (63.9% vs. 55.6%).

Table II

Intraoperative findings and surgical characteristics.

Table II

Intraoperative findings and surgical characteristics.

 Preoperative carbohydrate loading 
VariableYes (n=72)No (n=90)P-value
Ascites, n (%)26 (36.1)35 (38.9)0.717a
Large volume (seen on all quadrants)13 (18.1)21 (23.3)0.412a
Omental cake, n (%)26 (36.1)34 (37.8)0.827a
Peritoneal carcinomatosis, n (%)44 (61.1)52 (57.8)0.668a
Diffuse, miliary32 (44.4)32 (35.6)0.250a
Diaphragmatic disease, n (%)22 (30.6)22 (24.4)0.385a
Small bowel serosal and/or mesentery involvement, (diffuse, miliary), n (%)18 (25.0)22 (24.4)0.935a
Large bowel serosal and/or mesentery involvement, (diffuse, miliary), n (%)19 (26.3)21 (23.3)0.654a
Spleen metastasis (any surface/hilar lesion), n (%)7 (9.7)12 (13.3)0.478a
Liver metastasis (parenchymal lesion), n (%)5 (6.9)6 (6.7)0.923a
Cytoreduction, n (%)   
Maximal (no visible residual disease)51 (70.8)63 (70.0)0.908a
Optimal (residual tumor nodules <1 cm)18 (25.0)17 (18.9)0.348a
Suboptimal (residual tumor nodules ≥1 cm)3 (4.2)10 (11.1)0.106a
Bowel resection (large and/or small bowel), n (%)18 (25.0)18 (20.0)0.447a
     Large bowel15 (20.8)15 (16.7)0.498a
     Colorectal resection12 (16.7)13 (14.4) 
Right hemicolectomy3 (4.2)1 (1.1) 
Transverse colon resection-1 (1.1) 
     Small bowel4 (5.6)4 (4.4)0.746a
     Peritonectomy (partial and/or total), n (%)40 (55.6)44 (48.9)0.399a
     Pelvic39 (54.2)42 (46.7)0.343a
     Paracolic22 (30.6)22 (24.4)0.385a
     Diaphragm14 (19.4)10 (11.1)0.138a
Appendectomy, n (%)27 (37.5)33 (36.7)0.913a
Splenectomy ± distal pancreatectomy, n (%)9 (12.5)11(12.2)0.957a
Systematic pelvic-paraaortic LN dissection, n (%)45 (62.5)59 (65.6)0.687a
Number of LNs removed, median (range)55 (29-129)60 (27-100)0.757b
Operative time, min, median (range)330 (240-610)330 (195-530)0.144c
Intraoperative blood transfusion, n (%)41 (56.9)48 (53.3)0.646a
Need for intensive care unit, n (%)46 (63.9)50 (55.6)0.283a

[i] aPearson Chi-Square test;

[ii] bIndependent samples T test;

[iii] cMann-Whitney U test. LN, lymph node.

The comparison of postoperative course and morbidities between the study groups are presented in Table III. The median length of ICU stay (1 day vs. 1 day), length of hospital stay (11 days vs. 11 days), day 1 serum albumin levels (2.7 g/dl vs. 2.5 g/dl), day 1 to -7 serum CRP levels, 30-day readmission (11.6% vs. 11.5%), 30-day relaparotomy (2.8% vs. 3.4%) and the time interval between surgery and adjuvant therapy (35 days vs. 39 days) were comparable between the groups. At least one postoperative morbidity occurred in 48.6 and 46.7% of patients with and without carbohydrate loading, respectively (P=0.805). Wound infection was the most common morbidity in both groups (22.2% vs. 16.7%; P=0.372), followed by ileus (13.9% vs. 13.3%, P=0.918). No significant differences in grades of morbidities were identified between the groups (P=0.511).

Table III

Postoperative course and morbidities.

Table III

Postoperative course and morbidities.

 Preoperative carbohydrate loading 
VariableYes (n=72)No (n=90)P-value
Length of ICU stay, days, median (range)1 (1-69)1 (1-14)0.091a
Length of hospital stay, days, median (range)11 (5-77)11 (1-37)0.555a
Day 1, serum albumin level, g/dl, median (range)2.7 (1.0-3.4)2.5 (0.8-3.9)0.138b
Serum CRP level, mg/l, median (range)   
     Day 163.0 (17.0-306)106.5 (18.9-317)0.213a
     Day 2214.0 (75.0-395)224.0 (75.9-435)0.675b
     Day 3235.5 (32.0-364)210.0 (30.3-499)0.980b
     Day 4154.5 (21.0-443)145.5 (33.0-442)0.709b
     Day 595.0 (16.0-412)98.0 (18.9-417)0.608a
     Day 653.0 (10.0-260)57.3 (8.2-455)0.989a
     Day 757.0 (5.0-319)82.3 (17.9-439)0.529a
30-day hospital readmission, n (%)8 (11.6)10 (11.5)0.985c
30-day relaparotomy, n (%)2 (2.8)3 (3.4)0.809c
30-day postoperative morbidity, n (%)35 (48.6)42 (46.7)0.805c
Eventration/evisceration1 (1.4)1 (1.1)0.874c
Any infectious morbidity21 (29.2)21 (23.3)0.400c
Wound infection16 (22.2)15 (16.7)0.372c
Intra-abdominal infection/abscess10 (13.9)6 (6.7)0.126c
Urinary infection4 (5.6)7 (7.8)0.576c
Sepsis3 (4.2)1 (1.1)0.213c
Gastrointestinal morbidity11 (15.3)14 (15.6)0.961c
Ileus10 (13.9)12 (13.3)0.918c
Anastomotic leakage1 (1.4)1 (1.1)0.874c
Intestinal perforation1 (1.4)-0.262c
Biliary leakage-1 (1.1)0.370c
Pulmonary morbidity11 (15.3)8 (8.9)0.209c
Pleural effusion8 (11.1)6 (6.7)0.317c
Pneumo-mediastinum1 (1.4)-0.262c
Pulmonary thromboembolism3 (4.2)1 (1.1)0.213c
Pulmonary edema1 (1.4)5 (5.6)0.163c
Transfusion-related acute lung injury-1 (1.1)0.370c
Cardiac morbidity2 (2.8)5 (5.6)0.388c
Unexplained sudden cardiac arrest1 (1.4)2 (2.2)0.696c
Atrial fibrillation1 (1.4)3 (3.3)0.428c
Others   
     Chylous ascites6 (8.3)5 (5.6)0.485c
     Renal artery thrombosis1 (1.4)2 (2.2)0.696c
     Vesico-vaginal fistula1 (1.4)-0.262c
     Acute basilar artery occlusion1 (1.4)-0.262c
Clavien-Dindo classification of morbidities, n (%)  0.511c
     Grade 16 (8.3)11 (12.2)0.422c
     Grade 210 (13.9)17 (18.9)0.396c
     Grade 310 (13.9)5 (5.6)0.069c
     Grade 46 (8.3)6 (6.7)0.687c
     Grade 5 (mortality)3 (4.2)3 (3.3)0.780c
Time interval between debulking surgery and adjuvant therapy, days, median (range)35 (14-73)39 (19-99)0.451b

[i] aMann-Whitney U test;

[ii] bIndependent samples T test;

[iii] cPearson Chi-Square test. ICU, intensive care unit; CRP, c-reactive protein.

A total of six deaths occurred postoperatively, with three (4.2%) in the carbohydrate loading group and three (3.3%) in the control group (P=0.780). One patient in the carbohydrate loading group and two patients in the control group succumbed due to unexplained sudden cardiac arrest occurring within the first 24 h after surgery. The other two mortalities in the carbohydrate loading group were due to a neglected small bowel perforation diagnosed 3 weeks after surgery and due to pulmonary thromboembolism on postoperative day 5, respectively. The third mortality in the control group was from a large bowel anastomotic leak on postoperative day 14.

In univariate analysis, four variables were significantly associated with any postoperative morbidity: Peritoneal carcinomatosis (P=0.035), operative time (P=0.001), ICU admission (P=0.042) and serum albumin level on postoperative day 1 (P=0.030). In multivariate analysis, however, only the ‘operative time’ remained as an independent factor associated with any postoperative morbidity after adjustment for other confounders (Table IV). Optimal cut-off value of operative time for predicting any morbidity was found as 292.5 min, with a sensitivity of 80% and specificity of 59% (Fig. 1A). Patients who had an operative time ≥292.5 min were 3.5 times more likely to experience any postoperative morbidity (OR: 3.531; 95% CI: 1.326-9402; P=0.012).

Table IV

Factors associated with any postoperative morbidity.

Table IV

Factors associated with any postoperative morbidity.

 Any morbidity
 UnadjustedAdjusted
VariableOR95% CIP-valueOR95% CIP-value
Preoperative carbohydrate loading (no vs. yes)1.0810.581-2.0110.805---
Age, years0.9960.969-1.0230.761---
ECOG performance status (0-1 vs. ≥2)1.6000.774-3.3070.204---
Diabetes mellitus (no vs. yes)1.1230.472-2.6730.793---
Neoadjuvant chemotherapy (no vs. yes)0.9280.482-1.7870.824---
Ascites, large volume (no vs. yes)1.7790.827-3.8310.141---
Peritoneal carcinomatosis, diffuse (no vs. yes)1.9871.049-3.7650.035--0.826
Maximal cytoreduction (no vs. yes)1.2960.659-2.5470.452---
Large bowel resection (no vs. yes)2.2040.972-4.9950.058---
Total peritonectomya (no vs. yes)2.1940.770-6.2520.141---
Diaphragm stripping (no vs. yes)2.0430.837-4.9840.116---
Splenectomy (no vs. yes)1.1190.439-2.8550.813---
Systematic pelvic-paraaortic LND (no vs. yes)1.0630.559-2.0230.852---
Operative time (≥ 292.5 min)b5.7502.745-12.0430.0013.5311.326-94020.012
Intraoperative blood transfusion (no vs. yes)1.7760.949-3.3260.073---
Need for intensive care unit (no vs. yes)1.9381.023-3.6730.042--0.676
Day 1, serum albumin level, g/dl0.4870.254-0.9330.030--0.159
Day 1, serum CRP level, mg/l1.0050.999-1.0110.076---

[i] aPelvic, paracolic and diaphragm;

[ii] bthe most appropriate cut-off value determined by receiver operating characteristic analysis. Bold values denote statistical significance at the P<0.05 level. OR, Odds ratio; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; CRP, c-reactive protein; LND, lymph node dissection.

When the factors specifically associated with grade III-V morbidities were analyzed, ascites (P=0.005), peritoneal carcinomatosis (P=0.001), maximal cytoreduction (P=0.009), colon resection (P=0.001), total peritonectomy (P=0.031), diaphragmatic stripping (P=0.007), splenectomy (P=0.025), operative time (P=0.001), intraoperative blood transfusion (P=0.001), ICU admission (P=0.001), serum albumin level on postoperative day 1 (P=0.026) and serum CRP level on postoperative day 1 (P=0.005) were significant factors in univariate analysis; whereas splenectomy (P=0.049), operative time (P=0.021) and serum CRP level on postoperative day 1 (P=0.024) were found to be independent factors in multivariate analysis after adjustment for other confounders (Table V). Optimal cut-off values of operative time and day 1 serum CRP level for predicting grade III-V morbidities were 317 min (sensitivity: 78.8%, specificity: 67.8%) and 107.5 mg/l (sensitivity: 72.2%, specificity: 67.8%), respectively (Fig. 1B and C).

Table V

Factors associated with grade III-V postoperative morbidities.

Table V

Factors associated with grade III-V postoperative morbidities.

 Grade III-V morbidity
 UnadjustedAdjusted
VariableOR95% CIP-valueOR95% CIP-value
Preoperative carbohydrate loading (no vs. yes)1.9460.897-4.2210.092---
Age, years1.0180.984-1.0530.310---
ECOG performance status (0-1 vs. ≥2)2.1590.945-4.9330.068---
Diabetes mellitus (no vs. yes)1.0340.355-3.0110.951---
Neoadjuvant chemotherapy (no vs. yes)1.1840.532-2.6320.679---
Ascites, large volume (no vs. yes)3.3431.443-7.7450.005--0.336
Peritoneal carcinomatosis, diffuse (no vs. yes)7.2122.990-17.3920.001--0.945
Maximal cytoreduction (no vs. yes)2.8531.293-6.2930.009--0.810
Large bowel resection (no vs. yes)6.3332.650-15.1380.001--0.782
Total peritonectomy (no vs. yes)3.2041.116-9.2010.031--0.830
Diaphragm stripping (no vs. yes)3.5711.414-9.0230.007--0.913
Splenectomy (no vs. yes)3.1201.155-8.4250.02514.7241.008-215.0080.049
Systematic pelvic-paraaortic LND (no vs. yes)0.5130.236-1.1140.092---
Operative time (≥ 317 min)a7.8303.115-19.6820.00115.3681.498-157.7100.021
Intraoperative blood transfusion (no vs. yes)4.8631.881-12.5700.001--0.690
Need for intensive care unit (no vs. yes)9.5452.773-32.8540.001--0.304
Day 1, serum albumin level, g/dl0.4430.217-0.9070.026--0.548
Day 1, serum CRP level (≥ 107.50 mg/l)a5.3371.660-17.1630.0057.7951.311-46.3400.024

[i] aMost appropriate cut-off value determined by receiver operating characteristic analysis. Bold values denote statistical significance at the P<0.05 level. OR, Odds ratio; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; CRP, c-reactive protein; LND, lymph node dissection.

Discussion

The present study compared two cohorts of patients who underwent debulking surgery for EOC with or without preoperative carbohydrate loading. It revealed no significant differences between the cohorts in terms of postoperative course and morbidities. The length of ICU stay, length of hospital stay, day 1 serum albumin level, day 1-7 serum CRP levels, the rates of 30-day hospital readmission and 30-day relaparotomy, the rate and the severity of 30-day postoperative morbidities and the time interval between surgery and adjuvant therapy were comparable between the cohorts. The only independent risk factor for any morbidity after debulking surgery was operative time, while the independent risk factors specifically for grade III-V morbidities were operative time, splenectomy and day 1 serum CRP level.

The available literature regarding the effect of preoperative carbohydrate loading on postoperative morbidity is confusing and still a matter of debate. Earlier studies reported that postoperative symptoms, length of hospital stay and morbidities were significantly reduced with the use of oral carbohydrates as part of an ERAS protocol in patients undergoing colorectal resection (12,13). However, a large ERAS registry data of colorectal resections has shown that shorter hospital stay was related to carbohydrate loading, whereas reduced morbidities were only associated with the restrictive perioperative IV fluids (16). Similarly, a Cochrane review including all randomized controlled trials (RCT) of carbohydrate treatment in patients undergoing any elective surgery has demonstrated that carbohydrate loading was associated with earlier return of bowel functions and shorter length of hospital stay, but had no effect on morbidity (10). On the other hand, a more recent metaanalysis evaluating only abdominal surgeries has revealed that carbohydrate loading was associated with lower morbidity when compared with overnight fasting; but morbidity rates were similar between carbohydrate loading and clean water administration (17). The main reason of the discrepancies between the results of the previous studies is the significant heterogeneity within the patient populations and surgical procedures.

Although there are various studies reporting ERAS outcomes in gynecological oncology (18), only one study has specifically investigated the impact of carbohydrate loading as a single element of ERAS on clinical outcomes. In a single-center RCT, Al-Hirmizy et al (11) randomized 75 patients with EOC to receive a carbohydrate-enriched drink (n=37) or placebo (n=38). The authors initially found that carbohydrate loading increased the length of hospital stay by one day compared with the placebo. Although not significant, morbidities were also found to be higher in the carbohydrate loading group compared with placebo. However, study groups were unbalanced in terms of type of surgery, with more patients in the placebo group undergoing interval debulking surgery. After adjusting factors that may affect length of hospital stay, the authors found no difference between the groups in regard to morbidities. The results of the present study are comparable to those of Al-Hirmizy et al (11). However, despite the lack of a randomized control group, the present study included a larger number of patients and more homogenous and consistent data with respect to baseline patient characteristics compared with Al-Hirmizy et al (11).

Debulking surgery for EOC is a highly complicated surgical proceedure involving multiple pelvic and upper abdominal resections performed concurrently. Postoperative morbidity rates have been reported to be as high as 67% (19). Similarly, in the current study, 77 of 162 patients (47.5%) developed at least one morbidity. It was also found that operative time was the only independent risk factor for any postoperative morbidity. The literature on morbidity after debulking surgery shows that these morbidities often have a multifactorial etiology that is not easy to prevent. Some of these factors include patient-related characteristics such as age, comorbidities, poor performance status, ascites and high tumor burden, while others are surgery- and center-related characteristics such as extensive resections, prolonged operative time, poor surgical care and low surgical volume (19-21). This multifactorial etiology may underlie the inability to demonstrate the theoretical benefit of carbohydrate loading on postoperative course and morbidity. In addition, the fact that the present study did not have data on the genetic profiles of its patients may have led to misinterpretation of the impact of carbohydrate loading on postoperative course and morbidity. Although the literature data on this subject are conflicting, some studies have shown that tumor burden, invasion patterns, resectability rates and postoperative complications may differ between EOC patients with and without germline breast cancer gene (BRCA) mutation. Petrillo et al (22) investigated the association between BRCA mutation status and disease presentation in a large series of patients with advanced high-grade serous EOC, including 107 patients with BRCA1/2 mutation and 166 patients without BRCA mutation. The authors reported that EOC patients with a BRCA mutation had a significantly higher incidence of peritoneal spread without an ovarian mass (25.2% vs. 13.9%), bulky lymph nodes (30.8% vs. 17.5%) and increased tumor burden (42.1% vs. 27.1%) than those without a BRCA mutation. They concluded that more complex surgical procedures may be required to achieve complete resection in BRCA-mutant patients compared with non-mutant patients, which may lead to longer operation times and more severe postoperative complications. Kotsopoulos et al (23) examined the clinicopathological characteristics of 1,421 patients with EOC, of whom 177 had BRCA1/2 mutation. The authors reported a significantly lower complete resection rate (19% vs. 39%) in patients with a BRCA mutation compared with non-mutant patients. By contrast, in a more recent study involving a total of 612 patients with EOC, of whom 134 had a BRCA1/2 mutation, Ataseven et al (24) found no effect of BRCA status on disease burden, surgical complexity, complete resection rates (BRCA mutant: 74.4%; BRCA wild-type: 69.0%; P=0.274) and postoperative grade III-V complication rates (BRCA mutant: 12.0%; BRCA wild-type: 19.1%; P=0.082).

In the current study, operative time, splenectomy and postoperative day 1 serum CRP level were independent risk factors for grade III-V morbidities specifically. The optimal cut-off value for day 1 serum CRP was found to be 107.5 mg/l, with a sensitivity of 72.2% and specificity of 67.8%. CRP is an acute-phase protein that is elevated in the presence of an inflammatory process. Postoperatively, serum CRP levels increase in response to surgical stress, peaking within 48-72 h and then decrease (25). A number of studies have shown that CRP levels remain elevated in complicated postoperative conditions (25-28). Schutz et al (26) studied the CRP kinetics between postoperative day 1 and day-30 after orthopedic surgery. The authors reported that serum CRP levels were significantly higher in patients with a postoperative complication than in patients without a complication, with a cut-off value of 105 mg/l on the first postoperative day. However, the authors noted that the sensitivity and specificity of just one CRP value above the threshold for predicting postoperative complications was only 48%. Nam et al (27) estimated the first five postoperative day serum CRP cut-off values for predicting early postoperative complications including pneumonia, wound infection, intra-abdominal infection and anastomotic leakage after surgery for colorectal cancer to be 65, 108, 114, 66 and 57 mg/l, respectively. In a meta-analysis of 23 studies with more than 6,600 patients, Yeung et al (28) investigated the association between anastomotic leakage and serum CRP levels following colorectal surgery. The authors reported that anastomotic leakage was associated with higher CRP levels on each postoperative day compared with no leakage after colorectal surgery. A cut-off value of 110 mg/l on postoperative day 1 was found to have a sensitivity of 60% and specificity of 73% in predicting anastomotic leakage. Our cut-off value for day 1 CRP level is almost similar to the findings of Yeung et al (28). However, it should be noted that due to the different definitions of complications used in the literature and differences in surgical procedures, it may not always be appropriate to determine and recommend a cut-off value for CRP as a predictor of postoperative complications.

The main limitation of the current study was its retrospective design of control group, which may lead to a possible selection bias. Another limitation is the difficulty of analyzing postoperative course and morbidities in the historical control group in a detailed and reliable manner. Lastly, the single-center nature of the study is a barrier against generalizability of its findings. However, despite the limitations, the present study is the second (11) to examine the exclusive role of carbohydrate loading as a single element of ERAS in a controversial issue, which makes it valuable.

In conclusion, preoperative carbohydrate loading may have some benefits, especially in gastrointestinal surgeries where carbohydrate homeostasis is essential. However, based on the results of the current study, postoperative course and morbidity seems to be unaffected by carbohydrate loading in patients undergoing debulking surgery for EOC. More high-quality evidence is needed to recommend the routine use of carbohydrate loading in patients with EOC.

Acknowledgements

Not applicable.

Funding

Funding: No funding was received.

Availability of data and materials

The data generated in the present study may be requested from the corresponding author.

Authors' contributions

TT, IU and SD designed the whole study and agreed to be accountable for all aspects of it. AK, MuG, AA, NY, MCK, NA, SK and MeG contributed to the acquisition and curation of data. TT, SK and MeG analyzed and interpreted the data. TT and AA drafted the manuscript. IU and SD critically revised the manuscript. TT and IU confirm the authenticity of all the raw data. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The present study was approved by the Ethics Committee of the Antalya Training and Research Hospital (7 May, 2018; approval no. 021). Written informed consent was obtained from all participants.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Authors' information

ORCID IDs, TAYFUN TOPTAS 0000-0002-6706-6915, ISIN UREYEN 0000-0002-3491-4682, ALPER KAHRAMAN 0000-0002-1689-2782, MUSTAFA GOKKAYA 0000-0002-0477-157X, NECIM YALCIN 0000-0001-5980-3244, AYSUN ALCI 0000-0002-7912-7375, MERVE CAKIR KOLE 0000-0002-9330-3363, SELIM KANDEMİR 0000-0002-3951-3503, MEHMET GOKSU 0000-0001-9330-6241, NEDIM AKGUL 0000-0002-7003-7883, SELEN DOGAN 0000-0002-4019-5581.

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Spandidos Publications style
Toptas T, Ureyen I, Kahraman A, Gokkaya M, Yalcin N, Alci A, Kole MC, Kandemi̇r S, Goksu M, Akgul N, Akgul N, et al: Impact of preoperative carbohydrate loading on postoperative course and morbidity in debulking surgery for epithelial ovarian cancer. Exp Ther Med 27: 181, 2024
APA
Toptas, T., Ureyen, I., Kahraman, A., Gokkaya, M., Yalcin, N., Alci, A. ... Dogan, S. (2024). Impact of preoperative carbohydrate loading on postoperative course and morbidity in debulking surgery for epithelial ovarian cancer. Experimental and Therapeutic Medicine, 27, 181. https://doi.org/10.3892/etm.2024.12469
MLA
Toptas, T., Ureyen, I., Kahraman, A., Gokkaya, M., Yalcin, N., Alci, A., Kole, M. C., Kandemi̇r, S., Goksu, M., Akgul, N., Dogan, S."Impact of preoperative carbohydrate loading on postoperative course and morbidity in debulking surgery for epithelial ovarian cancer". Experimental and Therapeutic Medicine 27.5 (2024): 181.
Chicago
Toptas, T., Ureyen, I., Kahraman, A., Gokkaya, M., Yalcin, N., Alci, A., Kole, M. C., Kandemi̇r, S., Goksu, M., Akgul, N., Dogan, S."Impact of preoperative carbohydrate loading on postoperative course and morbidity in debulking surgery for epithelial ovarian cancer". Experimental and Therapeutic Medicine 27, no. 5 (2024): 181. https://doi.org/10.3892/etm.2024.12469