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Predicting Major Complications Following Laparotomy for Gastrointestinal Conditions Using Surgical Apgar Score: A Prospective Analysis in a Nigerian Population

BACKGROUND: Surgical Apgar score (SAS) is one of the risk assessment tools used in predicting postoperative complications. It is a simple and inexpensive tool composed of three intra-operative variables; lowest heart rate, lowest mean arterial blood pressure, and estimated blood loss, which are scor...

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Detalles Bibliográficos
Autores principales: Muhammad, Saminu, Sheshe, Abdurrahman Abba, Naaya, Habila Ulea, Suleiman, Ibrahim Eneye, Bello, Usman Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641734/
https://www.ncbi.nlm.nih.gov/pubmed/36388736
http://dx.doi.org/10.4103/jwas.jwas_92_22
Descripción
Sumario:BACKGROUND: Surgical Apgar score (SAS) is one of the risk assessment tools used in predicting postoperative complications. It is a simple and inexpensive tool composed of three intra-operative variables; lowest heart rate, lowest mean arterial blood pressure, and estimated blood loss, which are scored with a total of 10 points, based on which patients are risk stratified for developing post-operative complications. SAS was found to have good predictive accuracy for post-operative morbidity and mortality. The main objective of this study was to determine the efficacy of SAS in predicting major complications following laparotomy for gastrointestinal conditions. MATERIALS AND METHODS: The study was a prospective observational study, conducted in Aminu Kano Teaching Hospital, Kano, Nigeria. Eighty-three adult patients, who required laparotomy for gastrointestinal conditions were recruited. Data was collected using proforma, and patients were followed up for 30 days. The intra-operative parameters for SAS were scored, and according to the scores, patients were risk stratified for developing post-operative complications. The data were analyzed; sensitivity, specificity, and accuracy of the SAS were determined. RESULTS: A total of 83 patients were recruited in the study. About half (44.6%) of the patients developed major post-operative complications and a mortality rate of 7.2%. Most of the patients that died had low SAS. The sensitivity, specificity, accuracy, and AUC of SAS found were: 83.8%. 47.8%, 63.9% and 0.74 (95% CI; 0.63–0.84, P < 0.001) respectively. CONCLUSION: This study revealed that SAS is efficacious in predicting major complications following laparotomy for gastrointestinal conditions.