Comparative evaluation of scales for predicting an unfavorable postoperative outcome: Preliminary results of the multicenter study “The role of concomitant diseases in the stratification of the risk of postoperative complications in abdominal surgery STOPRISK”

Author:

Zabolotskikh Igor B.1ORCID,Trembach N. V.2ORCID,Magomedov M. A.3ORCID,Krasnov V. G.4ORCID,Chernienko L. Yu.4ORCID,Shevyrev S. N.4ORCID,Popov A. S.5ORCID,Tyutyunova E. V.6ORCID,Vatutin S. N.7ORCID,Malyshev Yu. P.8ORCID,Popov E. A.8ORCID,Smolin A. A.8ORCID,Kitiashvili I. Z.9ORCID,Dmitriev A. A.10ORCID,Grigoryev E. V.11ORCID,Kameneva E. A.11ORCID,Fisher V. V.12ORCID,Volkov E. V.12,Yatsuk I. V.13ORCID,Levit D. A.14ORCID,Sharipov A. M.14ORCID,Khoronenko V. E.15ORCID,Shemetova M. M.15ORCID,Kokhno V. N.16ORCID,Polovnikov E. V.16ORCID,Spasova A. P.17ORCID,Mironov A. V.17ORCID,Davydova V. R.18ORCID,Shapovalov K. G.19ORCID,Gritsan A. I.20ORCID,Sorsunov S. V.20ORCID,Lebedinskii K. M.21ORCID,Dunts P. V.22ORCID,Rudnov V. A.23ORCID,Stadler V. V.24ORCID,Bayalieva A. Zh.25ORCID,Prigorodov M. V.26ORCID,Antonov V. F.26ORCID,Voroshin D. G.27ORCID,Ovezov A. M.28ORCID,Pivovarova A. A.28ORCID,Martynov D. V.29ORCID,Batigyan O. A.29ORCID,Zamyatin M. N.30ORCID,Voskanyan S. E.31ORCID,Astakhov A. A.32ORCID,Khoteev A. Zh.33ORCID,Protsenko D. N.34ORCID,Arikan N. G.35ORCID,Zakharchenko I. A.35ORCID,Matveev A. S.36ORCID,Trembach I. A.10ORCID,Musaeva T. S.2ORCID

Affiliation:

1. Kuban State Medical University, Krasnodar, Russia; Regional Clinical Hospital No 2, Krasnodar, Russia; Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia

2. Kuban State Medical University, Krasnodar, Russia; Regional Clinical Hospital No 2, Krasnodar, Russia

3. City Clinical Hospital No 1 named after N.I. Pirogov, Moscow, Russia; Russian National Research Medical University named after N.I. Pirogov, Moscow, Russia

4. City Clinical Hospital No 1 named after N.I. Pirogov, Moscow, Russia

5. Volgograd State Medical University, Volgograd

6. Volgograd Regional Clinical Hospital No 1, Volgograd, Russia

7. City Clinical Emergency Hospital No 25, Volgograd, Russia

8. S.V. Ochapovskiy Research Institute Regional clinical hospital No 1, Krasnodar, Russia

9. Astrakhan State Medical University, Astrakhan, Russia

10. Kuban State Medical University, Krasnodar, Russia

11. Research Institute of Complex Problems of Cardiovascular Diseases, Kemerovo, Russia

12. Stavropol Regional Clinical Hospital, Stavropol, Russia; Stavropol State Medical University, Stavropol, Russia

13. Stavropol State Medical University, Stavropol, Russia

14. Sverdlovsk Regional Clinical Hospital No 1, Yekaterinburg, Russia

15. P.A. Hertsen Moscow Oncology Research Center, Moscow, Russia

16. State Novosibirsk Regional Clinical Hospital, Novosibirsk, Russia

17. Republican hospital named after V.A. Baranov, Petrozavodsk, Russia

18. Kazan State Medical University, Kazan, Russia

19. Chita State Medical Academy, Chita, Russia

20. Regional Clinical Hospital, Krasnoyarsk, Russia; Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia

21. Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia; North-Western State Medical University named after I.I. Mechnikov, St. Petersburg, Russia

22. Regional Clinical Hospital No 2, Vladivostok, Russia

23. City Clinical Hospital No 40, Yekaterinburg, Russia

24. Samara Regional Clinical Oncological Dispensary, Samara, Russia

25. Republican Clinical Hospital, Kazan, Russia

26. Clinical Hospital named after S.R. Mirotvortsev Saratov State Medical University named after V.I. Razumovsky, Saratov, Russia

27. Chelyabinsk Regional Clinical Center of Oncology and Nuclear Medicine, Chelyabinsk, Russia

28. Moscow Regional Research and Clinical Institute, Moscow, Russia

29. Rostov State Medical University, Rostov-on-Don, Russia

30. Pirogov Russian National Research Medical University (RNRMU), Moscow, Russia

31. A.I. Burnazyan FMBC Russian State Scientific Center of FMBA, Moscow, Russia

32. South Ural State Medical University, Chelyabinsk, Russia

33. Municipal Clinical Oncologic Hospital No 62, Moscow, Russia

34. City Clinical Hospital No 52, Moscow, Russia

35. City Clinical Hospital named after F.I. Inozemtsev, Moscow, Russia

36. Yakutsk Republican Oncological Dispensary, Yakutsk, Russia

Abstract

INTRODUCTION. The need for accurate risk stratification is obvious. Modern methods are quite cumbersome, which can cause difficulties when applied in routine practice, and therefore relatively simple but accurate forecasting methods have become very popular, which, however, have not been validated in Russia: SORT (Surgical Outcome Risk Tool), SRS (Surgical Risk Scale), POSPOM (Preoperative Score to Predict Postoperative Mortality), NZRISK (New Zealand RISK), SMPM (Surgical Mortality Probability Model). OBJECTIVES. The aim of this work is to determine the prognostic value of risk assessment scales in predicting an unfavorable postoperative outcome based on the analysis of data obtained in the STOPRISK study in patients undergoing open abdominal surgery. MATERIALS AND METHODS. The analysis of data on perioperative parameters of 1,179 patients who underwent open abdominal surgery is presented. RESULTS. The fatal outcome was recorded in 14 patients (1.18 %). A total of 135 complications were registered in 92 patients (7.8 %). All scales demonstrated satisfactory prognostic value in assessing the risk of complications (the area under the operating characteristic curve (AUROC) for the Physical Status Scale of the American Society of Anesthesiologists (ASA) was 0.714 (0.687–0.739), for the Surgical Risk Scale (SRS) — 0.727 (0.701–0.753), for the Surgical Outcome Risk Scale (SORT) — 0.738 (0.712–0.763), for the New Zealand Risk Scale (NZRISK) — 0.763 (0.738–0.787), for the Surgical Mortality Probability Scale (SMPM) — 0.732 (0.706–0.757), for the Preoperative Postoperative mortality Prediction Scale (POSPOM) — 0.764 (0.738–0.788)) and good in assessing the risk of death (AUROC for the ASA scale was 0.82 (0.804–0.843), for the SRS scale — 0.860 (0.838–0.879), for the SORT scale — 0.860 (0.838–0.879), for the NZRISK scale — 0.807 (0.783–0.829), for the SMPM scale — 0.852 (0.831–0.872), for the POSPOM scale — 0.811 (0.788–0.833)). CONCLUSIONS. All the studied scales have good prognostic value in assessing the risk of 30-day mortality after major abdominal surgery. The NZRISK and POSPOM scales demonstrate good prognostic value for cardiovascular complications, POSPOM and SRS scales — for acute renal injury. POSPOM and NZRISK scales showed an excellent prognostic value in relation to the risk of postoperative delirium.

Publisher

Practical Medicine Publishing House

Subject

Law,Anesthesiology and Pain Medicine,Critical Care and Intensive Care Medicine,Emergency Medicine

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