• Mehmet Nuri Yakar, Cengiz Polat, Müslüm Akkılıç, Kadir Yeşildal, Nagihan Duran Yakar, and Namigar Turgut.
• Department of Anesthesiology and Reanimation, University of Health Seciences, Prof. Dr. Cemil Taşcıoğlu City Hospital, İstanbul-Turkey.
• Ulus Travma Acil Cer. 2022 May 1; 28 (5): 615625615-625.

BackgroundThe 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.MethodsFive 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).ResultsThere 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).ConclusionWe 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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