ArticleTurkish journal of anaesthesiology and reanimation2019
Detecting Major Complications and Death After Emergency Abdominal Surgery Using the Surgical Apgar Score: A Retrospective Analysis in a Caribbean Setting.
Article in Turkish journal of anaesthesiology and reanimation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ability to predict surgical outcomes by surgical Apgar score: a systematic review.BMC surgery · 2023Pooled it
- Veterinary Enhanced Recovery After Surgery (Vet-ERAS) Program in Dogs Undergoing Emergency Laparotomy.Veterinary sciences · 2025Article
- Article
- Surgical Apgar Score can accurately predict the severity of post-operative complications following emergency laparotomy.BMC surgery · 2023Article
- Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study.BMC surgery · 2022Observational
- The Surgical Apgar Score: A Systematic Review of Its Discriminatory Performance.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2022Review
- Predicting Major Complications Following Laparotomy for Gastrointestinal Conditions Using Surgical Apgar Score: A Prospective Analysis in a Nigerian Population.Journal of the West African College of SurgeonsArticle
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Authors and funding
2 authors.
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Abstract
objectiveThe Surgical Apgar Score (SAS) is a simple 10-point scoring system that has been shown to be predictive of major postoperative complications and death after surgery. We evaluated the predictive ability of this score in a cohort of patients undergoing emergency abdominal surgery in a Caribbean tertiary hospital.
methodsThe SAS was calculated retrospectively from the anaesthesia records of all patients undergoing emergency abdominal surgery during a 12-month period. The postoperative surgical records of these patients were then examined for the presence of major complications and death. The association between the SAS and outcomes was tested using binary logistic regression, and the SAS discriminatory ability was determined from the receiver-operating curve (ROC) analysis.
resultsOf the 220 patients studied, 72 (33%) suffered an in-hospital major complication or death. The highest complication rate occurred in the low-scoring groups, with 68% of those scoring <4 being affected. Low-scoring patients (<4) had four times the risk of major complications when compared to higher-scoring groups (relative risk [RR], 4.21; 95% confidence interval [CI], 2.5-7.3; p<0.001). The odds ratio (OR) for major complications or death per unit increase in the SAS was 0.58 (95% CI, 0.47-0.72; p<0.001). The c-statistic of the SAS for predicting major complications or death was 0.71 (95% CI, 0.68-0.73; p<0.0001).
conclusionThe SAS is a simple 10-point score that can be used in patients undergoing emergency surgery in a Caribbean setting to help identify those that are at a higher risk of postoperative complications. Due to its ease in calculation, it can be added to other commonly used criteria to help triage the postoperative patient.
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