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Comorbidity in predicting surgical outcomes for gastric cancer

https://doi.org/10.21294/1814-4861-2023-22-4-5-13

Abstract

Objective: The present study aimed to analyze the treatment outcomes and develop a predictive model of surgical treatment for gastric cancer, taking into account the comorbidity of patients.
Material and Methods. The treatment outcomes were studied in 477 (100 %) gastric cancer patients. Patients were stratifed into two groups according to the Age-Adjusted Charlson Comorbidity Index (ACCI) (0–4 points – 311 (65,2 %), more than 4 points – 166 (34,8 %) patients). Two hundred and seventy six patients (57.9 %) underwent distal or total gastrectomy, 178 (37.3 %) total gastrectomy, 19 (4 %) minimally invasive gastrectomy, and 4 (0.8 %) patients underwent extirpation of the gastric stump. The construction of models for the prognosis of surgical treatment was carried out using binary logistic regression, the comparison of models – by analyzing error curves (ROC-analysis).
Results. The incidence rate of postoperative complications (grade III-V) according to the Clavien-Dindo classifcation was signifcantly higher in group 2 (9.9 %, 47/477) compared to group 1 (2.1 %, 10/477) (χ2 =64.79, p<0.001; OR 11.9 [5.82–24.3]). Postoperative mortality rate was 0.2 % (1/477) in group 1 and 1.9 % (9/477) in group 2 (χ2 =13.7, p<0.001; OR 17.8 [2.23–142]). In a comparative analysis, the prognostic model, taking into account the ACCI of the patient, allowed prediction of the development of postoperative grade III–V complications according to the Clavien-Dindo with the greatest accuracy. The area under the curve (AUC) was 0.921 ± 0.01 (95 % CI: 0,96–0,998), sensitivity – 71.9 %, specifcity – 99.8 %, diagnostic accuracy – 96.4 %.
Conclusion. The inclusion of comorbidity in gastric cancer patients in the predictive concept makes it possible to improve the accuracy of prediction of postoperative complications of III–V grade according to Clavien-Dindo.

About the Authors

V. A. Suvorov
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Vladimir A. Suvorov, MD, PhD, Assistant of the Department of Oncology, 
Author ID (Scopus): 57220123738. Researcher ID (WOS): HJY-4463-2023 

1, Pavshykh Bortsov St., 400131, Volgograd



S. I. Panin
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Stanislav I. Panin, MD, DSc, Professor, Head of the Department of the General Surgery, 
Author ID (Scopus): 57198338379. 

1, Pavshykh Bortsov St., 400131, Volgograd



N. V. Kovalenko
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Nadezhda V. Kovalenko, MD, PhD, Associate Professor, Head of the Department of Oncology, Hematology and Transplantology of the Continued Medical and Pharmaceutical Education Institute, 
Author ID (Scopus): 56415995100. Researcher ID (WOS): ACR-6280-2022. 

1, Pavshykh Bortsov St., 400131, Volgograd



V. V. Zhavoronkova
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Victoriya V. Zhavoronkova, MD, PhD, Associate Professor, Head of the Department of Oncology,
Author ID (Scopus): 57224093211. 

1, Pavshykh Bortsov St., 400131, Volgograd



M. P. Postolov
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Mikhail P. Postolov, MD, PhD, Assistant of the Department of Oncology,
Author ID (Scopus): 57205160032 

1, Pavshykh Bortsov St., 400131, Volgograd



S. E. Tolstopyatov
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Stanislav E. Tolstopyatov, MD, PhD, Associate Professor of the Department of Oncology, 
Author ID (Scopus): 57220115630. 

1, Pavshykh Bortsov St., 400131, Volgograd



A. A. Panina
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Anna A. Panina, MD, DSc, Associate Professor of the Department of Radiation, Functional, Laboratory Diagnostics, 

1, Pavshykh Bortsov St., 400131, Volgograd



Sh. R. Suleymanov
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Shaban R. Suleymanov, 4th year student of the Faculty of General Medicine, 

1, Pavshykh Bortsov St., 400131, Volgograd



E. Sh. Vezirov
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Eldar Sh. Vezirov, 4th year student of the Faculty of General Medicine, 

1, Pavshykh Bortsov St., 400131, Volgograd



I. A. Peshkurova
Volgograd State Medical University of the Ministry of Health of Russia
Russian Federation

Irina A. Peshkurova, 6th year student of the Faculty of Medicine, 

1, Pavshykh Bortsov St., 400131, Volgograd



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For citations:


Suvorov V.A., Panin S.I., Kovalenko N.V., Zhavoronkova V.V., Postolov M.P., Tolstopyatov S.E., Panina A.A., Suleymanov Sh.R., Vezirov E.Sh., Peshkurova I.A. Comorbidity in predicting surgical outcomes for gastric cancer. Siberian journal of oncology. 2023;22(4):5-13. (In Russ.) https://doi.org/10.21294/1814-4861-2023-22-4-5-13

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ISSN 1814-4861 (Print)
ISSN 2312-3168 (Online)