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Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model

OBJECTIVE: The association of body mass index (BMI) and all-cause mortality is controversial, frequently referred to as a paradox. Whether the cause is metabolic factors or statistical biases is still controversial. We assessed the association of BMI and all-cause mortality considering a wide range...

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Autores principales: Li, Jia, Simon, Gyorgy, Castro, M. Regina, Kumar, Vipin, Steinbach, Michael S., Caraballo, Pedro J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270162/
https://www.ncbi.nlm.nih.gov/pubmed/34242241
http://dx.doi.org/10.1371/journal.pone.0253696
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author Li, Jia
Simon, Gyorgy
Castro, M. Regina
Kumar, Vipin
Steinbach, Michael S.
Caraballo, Pedro J.
author_facet Li, Jia
Simon, Gyorgy
Castro, M. Regina
Kumar, Vipin
Steinbach, Michael S.
Caraballo, Pedro J.
author_sort Li, Jia
collection PubMed
description OBJECTIVE: The association of body mass index (BMI) and all-cause mortality is controversial, frequently referred to as a paradox. Whether the cause is metabolic factors or statistical biases is still controversial. We assessed the association of BMI and all-cause mortality considering a wide range of comorbidities and baseline mortality risk. METHODS: Retrospective cohort study of Olmsted County residents with at least one BMI measurement between 2000–2005, clinical data in the electronic health record and minimum 8 year follow-up or death within this time. The cohort was categorized based on baseline mortality risk: Low, Medium, Medium-high, High and Very-high. All-cause mortality was assessed for BMI intervals of 5 and 0.5 Kg/m(2). RESULTS: Of 39,739 subjects (average age 52.6, range 18–89; 38.1% male) 11.86% died during 8-year follow-up. The 8-year all-cause mortality risk had a “U” shape with a flat nadir in all the risk groups. Extreme BMI showed higher risk (BMI <15 = 36.4%, 15 to <20 = 15.4% and ≥45 = 13.7%), while intermediate BMI categories showed a plateau between 10.6 and 12.5%. The increased risk attributed to baseline risk and comorbidities was more obvious than the risk based on BMI increase within the same risk groups. CONCLUSIONS: There is a complex association between BMI and all-cause mortality when evaluated including comorbidities and baseline mortality risk. In general, comorbidities are better predictors of mortality risk except at extreme BMIs. In patients with no or few comorbidities, BMI seems to better define mortality risk. Aggressive management of comorbidities may provide better survival outcome for patients with body mass between normal and moderate obesity.
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spelling pubmed-82701622021-07-21 Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model Li, Jia Simon, Gyorgy Castro, M. Regina Kumar, Vipin Steinbach, Michael S. Caraballo, Pedro J. PLoS One Research Article OBJECTIVE: The association of body mass index (BMI) and all-cause mortality is controversial, frequently referred to as a paradox. Whether the cause is metabolic factors or statistical biases is still controversial. We assessed the association of BMI and all-cause mortality considering a wide range of comorbidities and baseline mortality risk. METHODS: Retrospective cohort study of Olmsted County residents with at least one BMI measurement between 2000–2005, clinical data in the electronic health record and minimum 8 year follow-up or death within this time. The cohort was categorized based on baseline mortality risk: Low, Medium, Medium-high, High and Very-high. All-cause mortality was assessed for BMI intervals of 5 and 0.5 Kg/m(2). RESULTS: Of 39,739 subjects (average age 52.6, range 18–89; 38.1% male) 11.86% died during 8-year follow-up. The 8-year all-cause mortality risk had a “U” shape with a flat nadir in all the risk groups. Extreme BMI showed higher risk (BMI <15 = 36.4%, 15 to <20 = 15.4% and ≥45 = 13.7%), while intermediate BMI categories showed a plateau between 10.6 and 12.5%. The increased risk attributed to baseline risk and comorbidities was more obvious than the risk based on BMI increase within the same risk groups. CONCLUSIONS: There is a complex association between BMI and all-cause mortality when evaluated including comorbidities and baseline mortality risk. In general, comorbidities are better predictors of mortality risk except at extreme BMIs. In patients with no or few comorbidities, BMI seems to better define mortality risk. Aggressive management of comorbidities may provide better survival outcome for patients with body mass between normal and moderate obesity. Public Library of Science 2021-07-09 /pmc/articles/PMC8270162/ /pubmed/34242241 http://dx.doi.org/10.1371/journal.pone.0253696 Text en © 2021 Li et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Jia
Simon, Gyorgy
Castro, M. Regina
Kumar, Vipin
Steinbach, Michael S.
Caraballo, Pedro J.
Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model
title Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model
title_full Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model
title_fullStr Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model
title_full_unstemmed Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model
title_short Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model
title_sort association of bmi, comorbidities and all-cause mortality by using a baseline mortality risk model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270162/
https://www.ncbi.nlm.nih.gov/pubmed/34242241
http://dx.doi.org/10.1371/journal.pone.0253696
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