ArticleWorld journal of surgery2017
Validation of the Surgical Apgar Score After Laparotomy at a Tertiary Referral Hospital in Rwanda.
Article in World journal of surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Ability to predict surgical outcomes by surgical Apgar score: a systematic review.BMC surgery · 2023Pooled it
- Article
- Application of the Surgical APGAR Score to Predict Intensive Care Unit Admission and Post-Operative Outcomes in Cesarean Hysterectomy for Placenta Accreta Spectrum.Medicina (Kaunas, Lithuania) · 2025Article
- 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
- Observation on the Effect of Intelligent Machine-Assisted Surgery and Perioperative Nursing.Journal of healthcare engineering · 2022Article
- Malnutrition in Acute Care Surgery Patients in Rwanda.World journal of surgery · 2020Observational
- Detecting Major Complications and Death After Emergency Abdominal Surgery Using the Surgical Apgar Score: A Retrospective Analysis in a Caribbean Setting.Turkish journal of anaesthesiology and reanimation · 2019Article
- Out-of-Pocket and Catastrophic Expenses Incurred by Seeking Pediatric and Adult Surgical Care at a Public, Tertiary Care Centre in Uganda.World journal of surgery · 2018Article
- Critical Care Management of Peritonitis in a Low-Resource Setting.World journal of surgery · 2018Article
- Prediction of perioperative complications after robotic-assisted radical hysterectomy for cervical cancer using the modified surgical Apgar score.BMC cancer · 2018Article
- The Reliability of Surgical Apgar Score in Predicting Immediate and Late Postoperative Morbidity and Mortality: A Narrative Review.Rambam Maimonides medical journal · 2018Review
- 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
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe surgical Apgar score (SAS) has demonstrated utility in predicting postoperative outcomes in a variety of surgical disciplines. However, there has not been a study validating the utility of the SAS in surgical patients in low-income countries. We conducted a prospective, observational study of patients undergoing laparotomy at a tertiary referral hospital in Rwanda and determined the ability of SAS to predict inpatient major complications and mortality.
methodsAll adult patients undergoing laparotomy in a tertiary referral hospital in Rwanda from October 2014 to January 2015 were included. Data were collected on patient and operative characteristics. SAS was calculated and patients were divided into four SAS categories. Primary outcomes were in-hospital mortality and major complications. Rates and odds of in-hospital mortality and major complications were examined across the four SAS categories. Logistic regression modeling and calculation of c-statistics was used to determine the discriminative ability of SAS.
results218 patients underwent laparotomy during the study period. One hundred and forty-three (65.6%) were male, and the median age was 34 years (IQR 27-51 years). The most common diagnosis was intestinal obstruction (97 [44.5%]). A high proportion of patients (170 [78%]) underwent emergency surgery. Thirty-nine (18.3%) patients died, and 61 (28.6%) patients had a major complication. In-hospital mortality occurred in 25 (50%) patients in the high-risk group, 12 (16%) in the moderate-risk group, 2 (3%) in the mild-risk group and there were no deaths in the low-risk group. Major complications occurred in 32 (64%) patients in the high-risk group, 22 (29%) in the moderate-risk group, 7 (11%) in the mild-risk group and there were no complications in the low-risk group. SAS was a good predictor of postoperative mortality (c-statistic 0.79) and major complications (c-statistic 0.75).
conclusionsSAS can be used to predict in-hospital mortality and major complications after laparotomy in a Rwandan tertiary referral hospital.
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