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5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients
INTRODUCTION: The aim of this study was to compare the accuracy of 5-mFI (modified frailty index) to ASA score (American Society of Anesthesiologists score) in predicting postoperative mortality in patients with rectal cancer. MATERIALS AND METHODS: The ability of each parameter to predict postopera...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486844/ https://www.ncbi.nlm.nih.gov/pubmed/36147119 http://dx.doi.org/10.1016/j.amsu.2022.104548 |
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author | Bouassida, Mahdi Beji, Hazem Kallel, Yessin Chtourou, Mohamed Fadhel Belfkih, Houda Trabelsi, Bacem Touinsi, Hassen |
author_facet | Bouassida, Mahdi Beji, Hazem Kallel, Yessin Chtourou, Mohamed Fadhel Belfkih, Houda Trabelsi, Bacem Touinsi, Hassen |
author_sort | Bouassida, Mahdi |
collection | PubMed |
description | INTRODUCTION: The aim of this study was to compare the accuracy of 5-mFI (modified frailty index) to ASA score (American Society of Anesthesiologists score) in predicting postoperative mortality in patients with rectal cancer. MATERIALS AND METHODS: The ability of each parameter to predict postoperative mortality was attested in 2 ways: Area under the curve (AUC) was determined using ROC curves analysis. A comparison of AUC was performed using Delong test and Henley-McNeil test.-Multivariate analysis to determine the weight of each variable in predicting postoperative mortality. RESULTS: The records of 109 patients undergoing surgical resection, for curative intent, for rectal cancer, were analyzed. Nine patients died during the 30-day postoperative period (8.25%). The optimum cutoff for 5-mFI to predict mortality using the ROC analysis was 1.5. The AUC at the cut-off point was 0.93. The optimum cutoff for ASA score to predict mortality was 1.5 and the AUC at the cut-off point was 0.81. The AUC of 5-mFI was significantly higher than the AUC of ASA score (p < 0.0001 using Delong test and p = 0.0024 using Hanley and McNeil test). On univariate analysis, predictive factors of mortality were: age (p = 0.002), ASA score≥2 (p = 0.0001) and 5-mFI≥2 (p = 0.0001). On multivariate analysis, 5-mFI≥2 was the only factor significantly associated with increased odds of postoperative mortality (OR = 1.73; 95% CI 1.05–2.01). CONCLUSION: 5-mFI was more accurate than ASA score in predicting postoperative mortality in patients with rectal cancer. |
format | Online Article Text |
id | pubmed-9486844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94868442022-09-21 5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients Bouassida, Mahdi Beji, Hazem Kallel, Yessin Chtourou, Mohamed Fadhel Belfkih, Houda Trabelsi, Bacem Touinsi, Hassen Ann Med Surg (Lond) Case Series INTRODUCTION: The aim of this study was to compare the accuracy of 5-mFI (modified frailty index) to ASA score (American Society of Anesthesiologists score) in predicting postoperative mortality in patients with rectal cancer. MATERIALS AND METHODS: The ability of each parameter to predict postoperative mortality was attested in 2 ways: Area under the curve (AUC) was determined using ROC curves analysis. A comparison of AUC was performed using Delong test and Henley-McNeil test.-Multivariate analysis to determine the weight of each variable in predicting postoperative mortality. RESULTS: The records of 109 patients undergoing surgical resection, for curative intent, for rectal cancer, were analyzed. Nine patients died during the 30-day postoperative period (8.25%). The optimum cutoff for 5-mFI to predict mortality using the ROC analysis was 1.5. The AUC at the cut-off point was 0.93. The optimum cutoff for ASA score to predict mortality was 1.5 and the AUC at the cut-off point was 0.81. The AUC of 5-mFI was significantly higher than the AUC of ASA score (p < 0.0001 using Delong test and p = 0.0024 using Hanley and McNeil test). On univariate analysis, predictive factors of mortality were: age (p = 0.002), ASA score≥2 (p = 0.0001) and 5-mFI≥2 (p = 0.0001). On multivariate analysis, 5-mFI≥2 was the only factor significantly associated with increased odds of postoperative mortality (OR = 1.73; 95% CI 1.05–2.01). CONCLUSION: 5-mFI was more accurate than ASA score in predicting postoperative mortality in patients with rectal cancer. Elsevier 2022-09-01 /pmc/articles/PMC9486844/ /pubmed/36147119 http://dx.doi.org/10.1016/j.amsu.2022.104548 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Case Series Bouassida, Mahdi Beji, Hazem Kallel, Yessin Chtourou, Mohamed Fadhel Belfkih, Houda Trabelsi, Bacem Touinsi, Hassen 5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients |
title | 5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients |
title_full | 5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients |
title_fullStr | 5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients |
title_full_unstemmed | 5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients |
title_short | 5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients |
title_sort | 5-mfi is more accurate than asa score in predicting postoperative mortality in rectal cancer: a case series of 109 patients |
topic | Case Series |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486844/ https://www.ncbi.nlm.nih.gov/pubmed/36147119 http://dx.doi.org/10.1016/j.amsu.2022.104548 |
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