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Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study

OBJECTIVE: Despite reports of a connection between body mass index (BMI) and stroke outcome, the findings remain debatable. In this investigation, we sought to determine whether BMI was associated with the probability of 3-month unfavorable outcomes in patients with acute ischemic stroke (AIS). METH...

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Autores principales: Zan, Yibing, Xiong, Wei, Zhang, Xiaohua, Han, Yong, Cao, Changchun, Hu, Haofei, Wang, Yulong, Ou, Haining
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792146/
https://www.ncbi.nlm.nih.gov/pubmed/36578955
http://dx.doi.org/10.3389/fendo.2022.1041379
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author Zan, Yibing
Xiong, Wei
Zhang, Xiaohua
Han, Yong
Cao, Changchun
Hu, Haofei
Wang, Yulong
Ou, Haining
author_facet Zan, Yibing
Xiong, Wei
Zhang, Xiaohua
Han, Yong
Cao, Changchun
Hu, Haofei
Wang, Yulong
Ou, Haining
author_sort Zan, Yibing
collection PubMed
description OBJECTIVE: Despite reports of a connection between body mass index (BMI) and stroke outcome, the findings remain debatable. In this investigation, we sought to determine whether BMI was associated with the probability of 3-month unfavorable outcomes in patients with acute ischemic stroke (AIS). METHODS: This is a second analysis based on a cohort study. 1,897 people with AIS who were treated at a hospital in South Korea from January 2010 to December 2016 were included in the study. The linear relationship between BMI and unfavorable outcomes for AIS patients was evaluated using a binary logistic regression model. The generalized additive model (GAM) and smoothed curve fitting (penalized spline approach) were employed to see if there was a non-linear association between BMI and unfavorable outcomes in patients with AIS. RESULTS: The binary logistic regression model did not detect any statistically significant correlation between BMI and unfavorable outcomes in AIS patients after controlling for variables. The association between them, however, was non-linear, with the BMI inflection point occurring at 23.07 kg/m(2). Each 1 kg/m(2) rise in BMI on the left side of the inflection point was linked to a 12% lower risk of unfavorable outcomes (OR= 0.88, 95% CI: 0.82 to 0.96, p = 0.003). We stratified the AIS patients by gender to further explore their relationship. The results showed a specific non-linear relationship and saturation effect of BMI (kg/m(2)) with 3-month unfavorable outcomes in male patients but not in female patients. The inflection point for BMI was 23.35 kg/m(2). When BMI was below 23.35 kg/m(2) in men with AIS, BMI was inversely associated with unfavorable outcomes (OR=0.89,95% CI:0.80-0.98). CONCLUSION: A particular non-linear connection and saturation effect between BMI (kg/m(2)) and 3-month unfavorable outcomes were present in male patients with AIS but not in females. 23.35 kg/m(2) was the BMI’s inflection point. The probability of unfavorable outcomes was substantially and inversely associated with BMI in men with AIS when it was less than 23.35 kg/m(2). Men with AIS should have a BMI of no less than 23.35 kg/m(2) to reduce the probability of unfavorable outcomes following AIS.
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spelling pubmed-97921462022-12-27 Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study Zan, Yibing Xiong, Wei Zhang, Xiaohua Han, Yong Cao, Changchun Hu, Haofei Wang, Yulong Ou, Haining Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: Despite reports of a connection between body mass index (BMI) and stroke outcome, the findings remain debatable. In this investigation, we sought to determine whether BMI was associated with the probability of 3-month unfavorable outcomes in patients with acute ischemic stroke (AIS). METHODS: This is a second analysis based on a cohort study. 1,897 people with AIS who were treated at a hospital in South Korea from January 2010 to December 2016 were included in the study. The linear relationship between BMI and unfavorable outcomes for AIS patients was evaluated using a binary logistic regression model. The generalized additive model (GAM) and smoothed curve fitting (penalized spline approach) were employed to see if there was a non-linear association between BMI and unfavorable outcomes in patients with AIS. RESULTS: The binary logistic regression model did not detect any statistically significant correlation between BMI and unfavorable outcomes in AIS patients after controlling for variables. The association between them, however, was non-linear, with the BMI inflection point occurring at 23.07 kg/m(2). Each 1 kg/m(2) rise in BMI on the left side of the inflection point was linked to a 12% lower risk of unfavorable outcomes (OR= 0.88, 95% CI: 0.82 to 0.96, p = 0.003). We stratified the AIS patients by gender to further explore their relationship. The results showed a specific non-linear relationship and saturation effect of BMI (kg/m(2)) with 3-month unfavorable outcomes in male patients but not in female patients. The inflection point for BMI was 23.35 kg/m(2). When BMI was below 23.35 kg/m(2) in men with AIS, BMI was inversely associated with unfavorable outcomes (OR=0.89,95% CI:0.80-0.98). CONCLUSION: A particular non-linear connection and saturation effect between BMI (kg/m(2)) and 3-month unfavorable outcomes were present in male patients with AIS but not in females. 23.35 kg/m(2) was the BMI’s inflection point. The probability of unfavorable outcomes was substantially and inversely associated with BMI in men with AIS when it was less than 23.35 kg/m(2). Men with AIS should have a BMI of no less than 23.35 kg/m(2) to reduce the probability of unfavorable outcomes following AIS. Frontiers Media S.A. 2022-12-12 /pmc/articles/PMC9792146/ /pubmed/36578955 http://dx.doi.org/10.3389/fendo.2022.1041379 Text en Copyright © 2022 Zan, Xiong, Zhang, Han, Cao, Hu, Wang and Ou https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Zan, Yibing
Xiong, Wei
Zhang, Xiaohua
Han, Yong
Cao, Changchun
Hu, Haofei
Wang, Yulong
Ou, Haining
Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study
title Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study
title_full Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study
title_fullStr Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study
title_full_unstemmed Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study
title_short Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study
title_sort body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: an analysis based on data from a prospective cohort study
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792146/
https://www.ncbi.nlm.nih.gov/pubmed/36578955
http://dx.doi.org/10.3389/fendo.2022.1041379
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