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Effect of age and gender on pre-operative cardiovascular risk assessment

BACKGROUND: The AUB-HAS2 Cardiovascular Risk Index is a recently published tool for pre-operative cardiovascular evaluation. It is based on six data elements: history of heart disease, symptoms of angina or dyspnea, age ≥ 75 years, hemoglobin < 12 mg/dl, vascular surgery, and emergency surgery. T...

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Autores principales: Chehab, Omar, Eldirani, Mahmoud, Tamim, Hani, Mailhac, Aurelie, Makki, Maha, Dakik, Habib A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161469/
https://www.ncbi.nlm.nih.gov/pubmed/35650615
http://dx.doi.org/10.1186/s13741-022-00247-2
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author Chehab, Omar
Eldirani, Mahmoud
Tamim, Hani
Mailhac, Aurelie
Makki, Maha
Dakik, Habib A.
author_facet Chehab, Omar
Eldirani, Mahmoud
Tamim, Hani
Mailhac, Aurelie
Makki, Maha
Dakik, Habib A.
author_sort Chehab, Omar
collection PubMed
description BACKGROUND: The AUB-HAS2 Cardiovascular Risk Index is a recently published tool for pre-operative cardiovascular evaluation. It is based on six data elements: history of heart disease, symptoms of angina or dyspnea, age ≥ 75 years, hemoglobin < 12 mg/dl, vascular surgery, and emergency surgery. The objective of this study is to study the effect of age and gender on the performance of the AUB-HAS2 Index in pre-operative cardiovascular risk assessment. METHODS: The study population consisted of 1,167,414 non-cardiac surgeries registered in the ACS NSQIP database. The population was stratified by age (≥ 40 and < 40 years old) and by gender (men and women). Each patient was given an AUB-HAS2 score of 0, 1, 2, 3, or > 3 based on the number of data elements s/he has. The outcome measure was all-cause mortality, myocardial infarction (MI), or stroke at 30 days after surgery. RESULTS: The overall 30-day event rate was higher in patients ≥ 40 years compared to those < 40 years (2.5% vs 0.3%, P < 0.0001) and in men compared to women (2.7% vs 1.8%, P < 0.0001). In both age and gender subgroups, there was a gradual and significant increase in the outcome measure (death, MI, or stroke) as the AUB-HAS2 score increased: from ≤ 0.5% in those with a score of 0 to more than 15% in those with a score > 3 (P < 0.0001). The AUB-HAS2 Index was able to stratify risk in all subgroups into low, intermediate, and high (P < 0.0001). Receiver operating characteristic curves showed the AUB-HAS2 Index has very good discriminatory power in both age (area under the curve (AUC) of 0.81 and 0.78) and gender (AUCs of 0.79 and 0.84) subgroups. CONCLUSION: This study extends the validation of the newly derived AUB-HAS2 Cardiovascular Risk Index to different age and gender subgroups with very good discriminative power.
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spelling pubmed-91614692022-06-03 Effect of age and gender on pre-operative cardiovascular risk assessment Chehab, Omar Eldirani, Mahmoud Tamim, Hani Mailhac, Aurelie Makki, Maha Dakik, Habib A. Perioper Med (Lond) Research BACKGROUND: The AUB-HAS2 Cardiovascular Risk Index is a recently published tool for pre-operative cardiovascular evaluation. It is based on six data elements: history of heart disease, symptoms of angina or dyspnea, age ≥ 75 years, hemoglobin < 12 mg/dl, vascular surgery, and emergency surgery. The objective of this study is to study the effect of age and gender on the performance of the AUB-HAS2 Index in pre-operative cardiovascular risk assessment. METHODS: The study population consisted of 1,167,414 non-cardiac surgeries registered in the ACS NSQIP database. The population was stratified by age (≥ 40 and < 40 years old) and by gender (men and women). Each patient was given an AUB-HAS2 score of 0, 1, 2, 3, or > 3 based on the number of data elements s/he has. The outcome measure was all-cause mortality, myocardial infarction (MI), or stroke at 30 days after surgery. RESULTS: The overall 30-day event rate was higher in patients ≥ 40 years compared to those < 40 years (2.5% vs 0.3%, P < 0.0001) and in men compared to women (2.7% vs 1.8%, P < 0.0001). In both age and gender subgroups, there was a gradual and significant increase in the outcome measure (death, MI, or stroke) as the AUB-HAS2 score increased: from ≤ 0.5% in those with a score of 0 to more than 15% in those with a score > 3 (P < 0.0001). The AUB-HAS2 Index was able to stratify risk in all subgroups into low, intermediate, and high (P < 0.0001). Receiver operating characteristic curves showed the AUB-HAS2 Index has very good discriminatory power in both age (area under the curve (AUC) of 0.81 and 0.78) and gender (AUCs of 0.79 and 0.84) subgroups. CONCLUSION: This study extends the validation of the newly derived AUB-HAS2 Cardiovascular Risk Index to different age and gender subgroups with very good discriminative power. BioMed Central 2022-06-02 /pmc/articles/PMC9161469/ /pubmed/35650615 http://dx.doi.org/10.1186/s13741-022-00247-2 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
Chehab, Omar
Eldirani, Mahmoud
Tamim, Hani
Mailhac, Aurelie
Makki, Maha
Dakik, Habib A.
Effect of age and gender on pre-operative cardiovascular risk assessment
title Effect of age and gender on pre-operative cardiovascular risk assessment
title_full Effect of age and gender on pre-operative cardiovascular risk assessment
title_fullStr Effect of age and gender on pre-operative cardiovascular risk assessment
title_full_unstemmed Effect of age and gender on pre-operative cardiovascular risk assessment
title_short Effect of age and gender on pre-operative cardiovascular risk assessment
title_sort effect of age and gender on pre-operative cardiovascular risk assessment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161469/
https://www.ncbi.nlm.nih.gov/pubmed/35650615
http://dx.doi.org/10.1186/s13741-022-00247-2
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