![]() ![]() The participants with a high SAS category had an18.4 times risk (95% CI, 1.9–177, p = 0.012) of developing major complications, while those in medium SAS category had 3.9 times risk (95% CI, 1.01–15.26, p = 0.048) of dying. Overall postoperative in-hospital major complications and mortality rates were 24.2% and 10.6%, respectively. Of the 151 participants recruited, 103 (68.2%) were male and the mean age was 40.6 ± 15. We used inferential statistics to determine the association between the SAS and the primary outcomes while the SAS discriminatory ability was determined from the receiver-operating curve (ROC) analysis. Data was presented as proportions or mean (standard deviation) or median (interquartile range) as appropriate. Primary outcomes were in-hospital major complications and mortality. ![]() Using the data generated, SAS was calculated, and patients were classified into 3 groups namely: low (8–10), medium (5–7), and high (0–4). We collected data on the patient’s preoperative and intraoperative characteristics. ![]() MethodĪ prospective observational study was conducted among eligible adult patients undergoing laparotomy at Mulago hospital and followed up for 4 months. The objective of this study was to evaluate the performance of SAS in predicting outcomes in patients undergoing laparotomy at Mulago hospital. The surgical Apgar score (SAS) is a simple and objective bedside prediction tool that can guide a surgeon’s postoperative decision making. Early postoperative risk stratification is essential to improve outcomes and clinical care. Postoperative complications and mortality following laparotomy have remained high worldwide. ![]()
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