Does Red Cell Distribution Width Have a Predictive Role in Anastomotic Leak after Right Hemicolectomy for Colon Cancer?

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Authors: Hüsnü Şevik, Oğuzhan Aytepe, Murat Kaan Kilic, Hüseyin Kilavuz, Oğuzhan Tekin, Erdal Karaköse, Sercan Yüksel, Zafer Teke
Cited by: 1
References: 34

Abstract

Introduction: Red cell distribution width (RDW) has recently emerged as a potential biomarker reflecting nutritional and inflammatory status in surgical oncology. While anastomotic leakage (AL) remains a devastating complication after right hemicolectomy for colorectal cancer, the predictive role of RDW in this setting has not been clearly established. This study aimed to evaluate the prognostic significance of RDW in predicting AL and postoperative outcomes after right hemicolectomy. Methods: This retrospective study included 234 patients who underwent right or extended right hemicolectomy for colorectal cancer between June 2020 and May 2025 at a tertiary referral center. Demographic, surgical, histopathological, and laboratory data were analyzed. Postoperative complications were graded according to the Clavien–Dindo classification. Results: AL occurred in 3.4% of patients; however, RDW was not an independent predictor. Patients with elevated RDW-fL values (>46.1 fL) were significantly older and had higher American Society of Anesthesiologists’ (ASA) scores, lower preoperative hemoglobin and albumin levels, and higher C-reactive protein levels. They also demonstrated shorter overall survival (47.7 versus 59.2 months, P = .027). High RDW-fL was independently associated with major postoperative complications and failure to complete adjuvant therapy. Conclusion: Preoperative RDW did not predict AL but was strongly associated with postoperative complications, adverse survival, and incomplete adjuvant treatment. RDW may serve as a simple, cost-effective biomarker for perioperative risk stratification in colorectal cancer surgery.

Fields of Study & Subjects

Inflammatory Biomarkers in Disease Prognosis Colorectal Cancer Surgical Treatments Statistical Methods in Epidemiology

Publication details

Journal / source
Journal of Laparoendoscopic & Advanced Surgical Techniques
Publisher
SAGE Publications
Volume
36
Issue
2
Pages
114–123
Publication date
9 January 2026
Language
EN