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Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study

BACKGROUND: Postoperative complications and mortality following laparotomy have remained high worldwide. Early postoperative risk stratification is essential to improve outcomes and clinical care. The surgical Apgar score (SAS) is a simple and objective bedside prediction tool that can guide a surge...

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Autores principales: Onen, Bruno Chan, Semulimi, Andrew Weil, Bongomin, Felix, Olum, Ronald, Kurigamba, Gideon, Mbiine, Ronald, Kituuka, Olivia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759870/
https://www.ncbi.nlm.nih.gov/pubmed/36529732
http://dx.doi.org/10.1186/s12893-022-01883-7
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author Onen, Bruno Chan
Semulimi, Andrew Weil
Bongomin, Felix
Olum, Ronald
Kurigamba, Gideon
Mbiine, Ronald
Kituuka, Olivia
author_facet Onen, Bruno Chan
Semulimi, Andrew Weil
Bongomin, Felix
Olum, Ronald
Kurigamba, Gideon
Mbiine, Ronald
Kituuka, Olivia
author_sort Onen, Bruno Chan
collection PubMed
description BACKGROUND: Postoperative complications and mortality following laparotomy have remained high worldwide. Early postoperative risk stratification is essential to improve outcomes and clinical care. The surgical Apgar score (SAS) is a simple and objective bedside prediction tool that can guide a surgeon’s postoperative decision making. The objective of this study was to evaluate the performance of SAS in predicting outcomes in patients undergoing laparotomy at Mulago hospital. METHOD: A prospective observational study was conducted among eligible adult patients undergoing laparotomy at Mulago hospital and followed up for 4 months. We collected data on the patient’s preoperative and intraoperative characteristics. 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). Primary outcomes were in-hospital major complications and mortality. Data was presented as proportions or mean (standard deviation) or median (interquartile range) as appropriate. 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. RESULTS: Of the 151 participants recruited, 103 (68.2%) were male and the mean age was 40.6 ± 15. Overall postoperative in-hospital major complications and mortality rates were 24.2% and 10.6%, respectively. 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. SAS had a fair discriminatory ability for in-hospital major complications and mortality with the area under the curve of 0.75 and 0.77, respectively. The sensitivity and specificity of SAS ≤ 6 for major complications were 60.5% and 81.14% respectively, and for death 54.8% and 81.3%, respectively. CONCLUSION: SAS of ≤ 6 is associated with an increased risk of major complications and/or mortality. SAS has a high specificity with an overall fair discriminatory ability of predicting the risk of developing in-hospital major complications and/or death following laparotomy.
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spelling pubmed-97598702022-12-19 Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study Onen, Bruno Chan Semulimi, Andrew Weil Bongomin, Felix Olum, Ronald Kurigamba, Gideon Mbiine, Ronald Kituuka, Olivia BMC Surg Research BACKGROUND: Postoperative complications and mortality following laparotomy have remained high worldwide. Early postoperative risk stratification is essential to improve outcomes and clinical care. The surgical Apgar score (SAS) is a simple and objective bedside prediction tool that can guide a surgeon’s postoperative decision making. The objective of this study was to evaluate the performance of SAS in predicting outcomes in patients undergoing laparotomy at Mulago hospital. METHOD: A prospective observational study was conducted among eligible adult patients undergoing laparotomy at Mulago hospital and followed up for 4 months. We collected data on the patient’s preoperative and intraoperative characteristics. 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). Primary outcomes were in-hospital major complications and mortality. Data was presented as proportions or mean (standard deviation) or median (interquartile range) as appropriate. 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. RESULTS: Of the 151 participants recruited, 103 (68.2%) were male and the mean age was 40.6 ± 15. Overall postoperative in-hospital major complications and mortality rates were 24.2% and 10.6%, respectively. 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. SAS had a fair discriminatory ability for in-hospital major complications and mortality with the area under the curve of 0.75 and 0.77, respectively. The sensitivity and specificity of SAS ≤ 6 for major complications were 60.5% and 81.14% respectively, and for death 54.8% and 81.3%, respectively. CONCLUSION: SAS of ≤ 6 is associated with an increased risk of major complications and/or mortality. SAS has a high specificity with an overall fair discriminatory ability of predicting the risk of developing in-hospital major complications and/or death following laparotomy. BioMed Central 2022-12-18 /pmc/articles/PMC9759870/ /pubmed/36529732 http://dx.doi.org/10.1186/s12893-022-01883-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Onen, Bruno Chan
Semulimi, Andrew Weil
Bongomin, Felix
Olum, Ronald
Kurigamba, Gideon
Mbiine, Ronald
Kituuka, Olivia
Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study
title Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study
title_full Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study
title_fullStr Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study
title_full_unstemmed Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study
title_short Surgical Apgar score as a predictor of outcomes in patients following laparotomy at Mulago National Referral Hospital, Uganda: a prospective cohort study
title_sort surgical apgar score as a predictor of outcomes in patients following laparotomy at mulago national referral hospital, uganda: a prospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759870/
https://www.ncbi.nlm.nih.gov/pubmed/36529732
http://dx.doi.org/10.1186/s12893-022-01883-7
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