Use of a Modified Surgical APGAR Score for Prediction of Postoperative Complications in Emergency Surgery: An Observational Retrospective Study

Overview

Journal Ulus Travma Acil Cerrahi Derg

Specialties Emergency Medicine
General Surgery

Date 2022 Apr 29

PMID 35485468

Authors

Mehmet Nuri Yakar

Cengiz Polat

Muslum Akkilic

Kadir Yesildal

Nagihan Duran Yakar

Namigar Turgut

Affiliations

Soon will be listed here.

Abstract

Background: The surgical Apgar score (SAS) was defined by Gawande et al. in 2007. It has been shown that this scoring system was highly effective for predicting the incidence of post-operative complications and mortality. In this study, we aimed to define a new, modified SAS (mSAS) for predicting the incidence of post-operative complications and mortality in emergency surgery. We also wanted to quantify the effectiveness of this modified scoring system, comprising of the duration of the operation in addition to the three intraoperative parameters of the SAS score.

Methods: Five hundred and seventy-nine patients who underwent emergency surgery were enrolled in this retrospective obser-vational study. At the end of the operation, the SAS was calculated from the data obtained from the examination of the patients and the mSAS was calculated by adding the duration of the operation to data used in the calculation of the SAS (Surgical duration >8 h; -4 points; 7.01-8 h; -3 points; 5.01-7 h; -2 points; 3.01-5 h; -1 points; 0-3 h; 0 points added).

Results: There was a statistically significant relationship between the mSAS and the total number of complications (as operative time [OT] increased, the number of complications increased) (r=0.360; p=0.001). The compliance levels of the SAS and mSAS were 98.4% and they have been found as statistically significant (ICC: 0.984; p=0.001; p<0.01).

Conclusion: We suggest that the OT should be included as a simple, objective and practical indication of the SAS risk score in major operations. The mSAS was an independent predictor of post-operative mortality and complications. With the widespread use of electronic medical record systems and the effective use of pre-operative medical data, the mSAS can be used as an easy and new scoring system to predict prognosis.

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