New approaches to prediction of colonic anastomotic leakage
https://doi.org/10.33878/2073-7556-2026-25-1-92-100
Abstract
АIM: to assess the prognostic significance of markers of oxidative stress, collagen degradation and intra-abdominal hypertension in the development of colorectal anastomotic leakage.
PATIENTS AND METHODS: retrospective case-control study was conducted including 65 patients after colorectal resection: the study group (n = 43) comprised patients who developed anastomotic leakage, and the comparison group (n = 22) included patients with an uneventful postoperative course. The groups were comparable in terms of age, sex, operative time and intraoperative blood loss (p > 0.05). On postoperative days 2–3, serum levels of malondialdehyde (MDA), free hydroxyproline, conjugated dienes, ascorbic acid, lactate and serotonin, as well as intra-abdominal pressure (IAP), were measured.
RESULTS: Patients with CAL had significantly higher median levels of MDA (4,4 [3,9–4,7] vs 3,1 [2,4–3,6] nmol/ mL; p < 0.001), free hydroxyproline (18,0 [15,7–19,6] vs 12,7 [11,1–14,8] μmol/L; p < 0.001) and IAP (16,1 [14,2–17,9] vs 10.5 [8,8–15,1] mmHg; p < 0.001) on postoperative days 2–3 as compared with controls. ROC analysis showed good discriminative ability of free hydroxyproline for CAL: AUC 0.83 (95% confidence interval (CI) 0.72– 0.93; p < 0.001); at a cut-off ≥ 15 μmol/L, sensitivity was 79.1% (95% CI 63.9–89.9), specificity 77.3% (95% CI 54.6–92.2), positive predictive value (PPV) 87.2% (95% CI 72.6–95.7) and negative predictive value (NPV) 65.4% (95% CI 44.3–82.8). IAP ≥ 15 mmHg yielded an AUC of 0.78 (95% CI 0.65–0.90; p < 0.001), sensitivity 69.8% and specificity 72.7%; MDA ≥ 4.0 nmol/mL — AUC 0.80 (95% CI 0.68–0.91; p < 0.001), sensitivity 74.4% and specificity 77.3%. In multivariable logistic regression, free hydroxyproline (odds ratio (OR) 1.35; 95% CI 1.08–1.69; p = 0.009), IAP (OR 1.35; 95% CI 1.10–1.65; p = 0.004) and MDA (OR 2.86; 95% CI 1.25–6.56; p = 0.013) were identified as independent predictors of CAL. The combined three-marker model showed high prognostic accuracy: AUC 0.93 (95% CI 0.84–0.98; p < 0.001); p (Hosmer-Lemeshow test) = 0.34; Nagelkerke R² = 0.65.
CONCLUSION: comprehensive assessment of collagenolysis markers and intra-abdominal hypertension in the early postoperative period allows highly accurate prediction of the risk of anastomotic leakage
About the Authors
Kahramon R. RuziboyzodaTajikistan
Sino st., 29-31, Dushanbe, 734026
Mahmadshoh K. Gulov
Tajikistan
Sino st., 29-31, Dushanbe, 734026
Afzalsho A. Gulov
Tajikistan
Sino st., 29-31, Dushanbe, 734026
Zoirsho M. Nurzoda
Tajikistan
Sino st., 29-31, Dushanbe, 734026
Sukhrob G. Ali-Zade
Tajikistan
Sino st., 29-31, Dushanbe, 734026
References
1. Gessler B, Eriksson O, Angenete E. Diagnosis, treatment, and consequences of anastomotic leakage in colorectal surgery. Int J Colorectal Dis. 2017;32(4):549-556. doi: 10.1007/s00384-016-2744-x.
2. Lebedko M.S., Gordeev S.S., Alieva E.V., et al. Risk factors for colorectal anastomotic leakage and methods of its prevention: a retrospective cohort study. Pelvic surgery and oncology 2022;12(2):17–27. (in Russ.). DOI: 10.17650/2686-9594-2022-12-2-17-27.
3. Pengyu Wei, Si Wu, Jiale Gao, Hendrik Bonjer, Jurriaan Tuynman, Hongwei Yao, Zhongtao Zhang, Definition and grading of anastomotic leakage following right hemicolectomy. BJS. 2024;111(7):155. https://doi.org/10.1093/bjs/znae155
4. Bona D, Danelli P, Sozzi A, Sanzi M, Cayre L, Lombardo F. [et al.]. C-reactive Protein and Procalcitonin Levels to Predict Anastomotic Leak After Colorectal Surgery: Systematic Review and Meta-analysis. J Gastrointest Surg. 2023;27(1):166-179. doi: 10.1007/s11605-022-05473-z.
5. Lyadov V.K., Garipov M.R., Polushkin V.G., et al. C-reactive protein as an early marker of colonic anastomotic suture failure after colon resection for cancer: a systematic review and meta-analysis. Pirogov Journal of Surgery. 2020;(8):82–87. (in Russ.). https://doi.org/10.17116/hirurgia202008182
6. Emile SH, Gilshtein H, Wexner SD. Quadruple assessment of colorectal anastomoses: a technique to reduce the incidence of anastomotic leakage. Colorectal Dis. 2020;22(1):102-103. doi: 10.1111/codi.14844.
7. Gessler B, Eriksson O, Angenete E. Diagnosis, treatment, and consequences of anastomotic leakage in colorectal surgery. Int J Colorectal Dis. 2017;32(4):549-556. doi: 10.1007/s00384-016-2744-x.
8. Danielski LG, Walczewski E, de Jesus CR, Florentino D, Giustina AD, Goldim MP. [et al.]. Preoperative vitamin C supplementation improves colorectal anastomotic healing and biochemical parameters in malnourished rats. Int J Colorectal Dis. 2016;31(11):1759-1766. doi: 10.1007/s00384-016-2647-x
9. Rennie O, Sharma M, Helwa N. Colorectal anastomotic leakage: a narrative review of definitions, grading systems, and consequences of leaks. Front Surg. 2024;11:1371567. doi: 10.3389/fsurg.2024.1371567
10. Almutairi FM. Role of Biomarkers in the Diagnosis of Anastomotic Leakage After Colorectal Surgery: A Systematic Review and Meta-Analysis. Cureus. 2024;16(6):e62432. doi: 10.7759/cureus.62432.
11. Stumpf M, Klinge U, Wilms A, Zabrocki R, Rosch R, Junge K, Krones C, Schumpelick V. Changes of the extracellular matrix as a risk factor for anastomotic leakage after large bowel surgery. Surgery. 2005;137(2):229-34. doi: 10.1016/j.surg.2004.07.011.
12. Edomskis P, Goudberg MR, Sparreboom CL, Menon AG, Wolthuis AM, D'Hoore A, Lange JF. Matrix metalloproteinase-9 in relation to patients with complications after colorectal surgery: a systematic review. Int J Colorectal Dis. 2021;36(1):1-10. doi: 10.1007/s00384-020-03724-6.
13. Luo J, Wu H, Yang Y, Jiang Y, Yuan J, Tong Q. Oxidative Stress Level as a Predictor of Anastomotic Leakage after Rectal Surgery. Mediators Inflamm. 2021;2021:9968642. doi: 10.1155/2021/9968642.
Review
For citations:
Ruziboyzoda K.R., Gulov M.K., Gulov A.A., Nurzoda Z.M., Ali-Zade S.G. New approaches to prediction of colonic anastomotic leakage. Koloproktologia. 2026;25(1):92-100. https://doi.org/10.33878/2073-7556-2026-25-1-92-100
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