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Genetically Predicted Body Mass Index and Mortality in COPD.
Zhang, Jingzhou; Moll, Matthew; Hobbs, Brian D; Bakke, Per; Regan, Elizabeth A; Xu, Hanfei; Dupuis, Josée; Chiles, Joe W; McDonald, Merry-Lynn N; Divo, Miguel J; Silverman, Edwin K; Celli, Bartolome R; O'Connor, George T; Cho, Michael H.
Afiliación
  • Zhang J; Boston University School of Medicine, 12259, Department of Medicine, Boston, Massachusetts, United States.
  • Moll M; Brigham and Women's Hospital Department of Medicine, 370908, Pulmonary and Critical Care, Boston, Massachusetts, United States.
  • Hobbs BD; Brigham and Women's Hospital Channing Division of Network Medicine, 1869, Boston, Massachusetts, United States.
  • Bakke P; University of Bergen, 1658, Bergen, Hordaland, Norway.
  • Regan EA; National Jewish Health, 2930, Department of Medicine, Denver, Colorado, United States.
  • Xu H; Boston University School of Public Health, 27118, Department of Biostatistics, Boston, Massachusetts, United States.
  • Dupuis J; Boston University School of Public Health, 27118, Biostatistics, Boston, Massachusetts, United States.
  • Chiles JW; The University of Alabama at Birmingham, 9968, Division of Pulmonary, Allergy, and Critical Care Medicine, Birmingham, Alabama, United States.
  • McDonald MN; The University of Alabama at Birmingham, 9968, Division of Pulmonary, Allergy and Critical Care Medicine, Birmingham, Alabama, United States.
  • Divo MJ; Brigham and Women's Hospital, 1861, Pulmonary and Critical Care Division, Boston, Massachusetts, United States.
  • Silverman EK; Brigham and Women's Hospital Channing Division of Network Medicine, 1869, Boston, Massachusetts, United States.
  • Celli BR; Brigham and Women's Hospital, 1861, Pulmonary, Boston, Massachusetts, United States.
  • O'Connor GT; Boston University School of Medicine, 12259, Pulmonary Center, Boston, Massachusetts, United States.
  • Cho MH; Harvard Medical School, Channing Division of Respiratory Medicine, Boston, Massachusetts, United States; remhc@channing.harvard.edu.
Article en En | MEDLINE | ID: mdl-38471013
ABSTRACT
RATIONALE BMI is associated with COPD mortality, but the underlying mechanisms are unclear. The effect of genetic variants aggregated into a polygenic score may elucidate causal mechanisms and predict risk.

OBJECTIVES:

To examine the associations of genetically predicted BMI with all-cause and cause-specific mortality in COPD.

METHODS:

We developed a polygenic score for BMI (PGSBMI) and tested for associations of the PGSBMI with all-cause, respiratory, and cardiovascular mortality in participants with COPD from the COPDGene, ECLIPSE, and Framingham Heart studies. We calculated the difference between measured BMI and PGS-predicted BMI (BMIdiff) and categorized participants into groups of discordantly low (BMIdiff < 20th percentile), concordant (BMIdiff between 20th - 80th percentile), and discordantly high (BMIdiff > 80th percentile) BMI. We applied Cox models, examined potential non-linear associations of the PGSBMI and BMIdiff with mortality, and summarized results with meta-analysis. MEASUREMENTS AND MAIN

RESULTS:

We observed significant non-linear associations of measured BMI and BMIdiff, but not PGSBMI, with all-cause mortality. In meta-analyses, a one standard deviation increase in the PGSBMI was associated with an increased hazard for cardiovascular mortality (HR=1.29, 95% CI=1.12-1.49), but not with respiratory or all-cause mortality. Compared to participants with concordant measured and genetically predicted BMI, those with discordantly low BMI had higher mortality risk for all-cause (HR=1.57, CI=1.41-1.74) and respiratory death (HR=2.01, CI=1.61-2.51).

CONCLUSIONS:

In people with COPD, higher genetically predicted BMI is associated with higher cardiovascular mortality but not respiratory mortality. Individuals with discordantly low BMI have higher all-cause and respiratory mortality compared to those with concordant BMI.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Am J Respir Crit Care Med Asunto de la revista: TERAPIA INTENSIVA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Am J Respir Crit Care Med Asunto de la revista: TERAPIA INTENSIVA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos