Prediction of perioperative complications and mortality in patients with complicated forms of colon cancer

Authors

DOI:

https://doi.org/10.14739/2310-1210.2024.1.288395

Keywords:

colorectal surgery, postoperative complications, mortality, prognostic factor, ROC analysis

Abstract

Complicated forms of colon cancer occupy a significant share of emergency operations in general surgical departments with high rates of mortality and complications. Assessment of possible complications and mortality before surgery is an important aspect in choosing treatment tactics for this group of patients.

The aim of the study. To analyze the risks of complications and mortality in the perioperative period in patients with complicated forms of colorectal cancer using the prognostic CR-POSSUM scoring system and to determine the critical levels of the CR-POSSUM score using ROC analysis.

Materials and methods. The data of 71 (100 %) patients who were treated for complicated forms of colorectal cancer were analyzed. The studied group included 36 (50.71 %) men and 35 (49.29 %) women aged 67.97 ± 12.71 years. In the postoperative period, complications were found in 32 (45.07 %) patients, there were 8 (11.27 %) deaths.

Results. The mortality risk at the time of hospitalization was 6.40 (3.50; 19.10) %. The actual mortality rate in the studied group was 8 (11.27 %) patients, which corresponded to the CR-POSSUM theoretically calculated mortality risk, U = 234.0, p = 0.739.

Conclusions. Increased level of complications was noted at the critical score ˃20 points, AUC = 0.744, p ˂ 0.001 (sensitivity – 71.0 %, specificity – 67.5 %) and the critical score of increasing the mortality rate was ˃22 points, AUC = 0.781, p = 0.005 (sensitivity – 75.0 %, specificity – 74.6 %) as defined by CR-POSSUM. According to the ROC analysis, the increase in mortality in the studied group did not depend on the character and complexity of surgical interventions (p = 0.159), but on the general patient condition at the time of hospital admission (р ˂ 0.001). At the same time, the increased level of complications in the group depended on both the character and complexity of the surgical intervention (p = 0.028) and on the general patient health at the time of hospitalization to the general surgical department (р ˂ 0.001).

Author Biographies

M. A. Kubrak, Zaporizhzhia State Medical and Pharmaceutical University, Ukraine

MD, PhD, Associate Professor of the Department of General Surgery and Postgraduate Surgical Education

S. M. Zavhorodnii, Zaporizhzhia State Medical and Pharmaceutical University, Ukraine

MD, PhD, DSc, Professor, Head of the Department of General Surgery and Postgraduate Surgical Education

M. B. Danyliuk, Zaporizhzhia State Medical and Pharmaceutical University, Ukraine

MD, PhD, Associate Professor of the Department of General Surgery and Postgraduate Surgical Education

References

Ukrainian cancer registry statistics. [Cancer in Ukraine, 2018-2019. Occupation, death, demonstration of oncological service]. Bulletin of National Cancer Registry of Ukraine. 2020;21. Ukrainian. Available from: http://www.ncru.inf.ua/publications/BULL_21/index.htm

Kolesnik AP, Kolesnіk IP, Kechedzhyiev VV. [Survival analysis of elderly and senile patients with colon cancer of II-III stages. Modern medical technology. 2019;(1):60-5. Russian. doi: https://doi.org/10.34287/MMT.1(40).2019.10

Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209-49. doi: https://doi.org/10.3322/caac.21660

Biondo S, Gálvez A, Ramírez E, Frago R, Kreisler E. Emergency surgery for obstructing and perforated colon cancer: patterns of recurrence and prognostic factors. Tech Coloproctol. 2019;23(12):1141-61. doi: https://doi.org/10.1007/s10151-019-02110-x

Peden CJ, Stephens T, Martin G, Kahan BC, Thomson A, Rivett K, et al. Effectiveness of a national quality improvement programme to improve survival after emergency abdominal surgery (EPOCH): a stepped-wedge cluster-randomised trial. Lancet. 2019;393(10187):2213-21. doi: https://doi.org/10.1016/S0140-6736(18)32521-2

Philp MM, Pitt HA. Emergency general surgery: can we do better? Lancet. 2019;393(10187):2178-80. doi: https://doi.org/10.1016/S0140-6736(18)32982-9

Swart M, Carlisle JB, Goddard J. Using predicted 30 day mortality to plan postoperative colorectal surgery care: a cohort study. Br J Anaesth. 2017;118(1):100-4. doi: https://doi.org/10.1093/bja/aew402

Reilly JR, Gabbe BJ, Brown WA, Hodgson CL, Myles PS. Systematic review of perioperative mortality risk prediction models for adults undergoing inpatient non-cardiac surgery. ANZ J Surg. 2021;91(5):860-70. doi: https://doi.org/10.1111/ans.16255

Kubrak MA, Zavhorodnii SM, Danyliuk MB. [Problems of staging complicated forms of colon carcinoma in patients who were urgently operated in a general surgical hospital]. Pathologia. 2023;20(1):45-9. Ukrainian. doi: https://doi.org/10.14739/2310-1237.2023.1.273868

Kubrak MA, Zavhorodnii SM, Danilyuk MB. [Peculiarities of treatment of patients with complicated forms of the large bowel cancer in conditions of general clinical stationary]. Klinichna khirurhiia. 2022;89(7-8):9-13. Ukrainian. doi: https://doi.org/10.26779/2522-1396.2022.7-8.09

Vernooij JE, Koning NJ, Geurts JW, Holewijn S, Preckel B, Kalkman CJ, et al. Performance and usability of pre-operative prediction models for 30-day peri-operative mortality risk: a systematic review. Anaesthesia. 2023;78(5):607-19. doi: https://doi.org/10.1111/anae.15988

Choi B, Oh AR, Lee SH, Lee DY, Lee JH, Yang K, et al. Prediction Model for 30-Day Mortality after Non-Cardiac Surgery Using Machine-Learning Techniques Based on Preoperative Evaluation of Electronic Medical Records. J Clin Med. 2022;11(21):6487. doi: https://doi.org/10.3390/jcm11216487

Chae D, Kim NY, Kim HJ, Kim TL, Kang SJ, Kim SY. A risk scoring system integrating postoperative factors for predicting early mortality after major non-cardiac surgery. Clin Transl Sci. 2022;15(9):2230-40. doi: https://doi.org/10.1111/cts.13356

Baré M, Alcantara MJ, Gil MJ, Collera P, Pont M, Escobar A, et al. Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality. BMC Health Serv Res. 2018;18(1):49. doi: https://doi.org/10.1186/s12913-018-2839-x

Ozkan O, Guner A, Kaya U, Kece C, Reis E, Kesici S. Evaluation of CR-POSSUM, original ACPGBI and new ACPGBI scoring systems for colorectal cancer surgery. Chirurgia (Bucur). 2014;109(6):800-5.

Published

2024-02-05

How to Cite

1.
Kubrak MA, Zavhorodnii SM, Danyliuk MB. Prediction of perioperative complications and mortality in patients with complicated forms of colon cancer. Zaporozhye Medical Journal [Internet]. 2024Feb.5 [cited 2024Nov.22];26(1):33-7. Available from: http://zmj.zsmu.edu.ua/article/view/288395