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Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population?
BACKGROUND: Various scoring systems help in classifying the patient's risk preoperatively and hence to decide the best available treatment option. ACS-NSQIP score has been introduced in clinical practice for few years. This study was done to find out whether there is any difference between pred...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009561/ https://www.ncbi.nlm.nih.gov/pubmed/35431735 http://dx.doi.org/10.4103/sja.sja_734_21 |
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author | Huda, Anwar U. Yasir, Mohammad Sheikh, Nasrullah Khan, Asad Z. |
author_facet | Huda, Anwar U. Yasir, Mohammad Sheikh, Nasrullah Khan, Asad Z. |
author_sort | Huda, Anwar U. |
collection | PubMed |
description | BACKGROUND: Various scoring systems help in classifying the patient's risk preoperatively and hence to decide the best available treatment option. ACS-NSQIP score has been introduced in clinical practice for few years. This study was done to find out whether there is any difference between predicted mortality from ACS-NSQIP score and observed mortality in Saudi population. METHODS: This prospective observational study was conducted at Security Forces Hospital, Riyadh, Kingdom of Saudi Arabia. We included patients undergoing elective and emergency surgical procedures in our hospital. Thirty days mortality data was collected and then observed to expected (O/E) mortality ratio was calculated. The sample size for our study was nine hundred and three (903) patients. RESULTS: The mean ACS-NSQIP mortality risk score (%) for the study was 0.49. Expected number of mortalities was 4.42 while observed mortalities were 11, yielding an O/E ratio of 2.48 (p-value 0.000). We did not find a significant difference between expected and observed mortalities except for ASA class 3 and 4 patients where expected numbers of mortalities were lower than observed (p-value < 0.05). CONCLUSION: ACS-NSQIP can be reliably used for postoperative mortality prediction especially in lower risk groups. |
format | Online Article Text |
id | pubmed-9009561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-90095612022-04-15 Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? Huda, Anwar U. Yasir, Mohammad Sheikh, Nasrullah Khan, Asad Z. Saudi J Anaesth Original Article BACKGROUND: Various scoring systems help in classifying the patient's risk preoperatively and hence to decide the best available treatment option. ACS-NSQIP score has been introduced in clinical practice for few years. This study was done to find out whether there is any difference between predicted mortality from ACS-NSQIP score and observed mortality in Saudi population. METHODS: This prospective observational study was conducted at Security Forces Hospital, Riyadh, Kingdom of Saudi Arabia. We included patients undergoing elective and emergency surgical procedures in our hospital. Thirty days mortality data was collected and then observed to expected (O/E) mortality ratio was calculated. The sample size for our study was nine hundred and three (903) patients. RESULTS: The mean ACS-NSQIP mortality risk score (%) for the study was 0.49. Expected number of mortalities was 4.42 while observed mortalities were 11, yielding an O/E ratio of 2.48 (p-value 0.000). We did not find a significant difference between expected and observed mortalities except for ASA class 3 and 4 patients where expected numbers of mortalities were lower than observed (p-value < 0.05). CONCLUSION: ACS-NSQIP can be reliably used for postoperative mortality prediction especially in lower risk groups. Wolters Kluwer - Medknow 2022 2022-03-17 /pmc/articles/PMC9009561/ /pubmed/35431735 http://dx.doi.org/10.4103/sja.sja_734_21 Text en Copyright: © 2022 Saudi Journal of Anesthesia https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Huda, Anwar U. Yasir, Mohammad Sheikh, Nasrullah Khan, Asad Z. Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
title | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
title_full | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
title_fullStr | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
title_full_unstemmed | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
title_short | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
title_sort | can acs-nsqip score be used to predict postoperative mortality in saudi population? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009561/ https://www.ncbi.nlm.nih.gov/pubmed/35431735 http://dx.doi.org/10.4103/sja.sja_734_21 |
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