Handgrip Strength in Chronic Obstructive Pulmonary Disease. Associations with Acute Exacerbations and Body Composition

Carlos H Martinez; Alejandro A Diaz; Catherine A Meldrum; Merry-Lynn N McDonald; Susan Murray; Gregory L Kinney; John E Hokanson; Jeffrey L Curtis; Russell P Bowler; MeiLan K Han; George R Washko; Elizabeth A Regan; COPDGene Investigators

doi:10.1513/AnnalsATS.201610-821OC

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Handgrip Strength in Chronic Obstructive Pulmonary Disease. Associations with Acute Exacerbations and Body Composition

Journal article

Open access

Peer reviewed

Handgrip Strength in Chronic Obstructive Pulmonary Disease. Associations with Acute Exacerbations and Body Composition

Carlos H Martinez, Alejandro A Diaz, Catherine A Meldrum, Merry-Lynn N McDonald, Susan Murray, Gregory L Kinney, John E Hokanson, Jeffrey L Curtis, Russell P Bowler, MeiLan K Han, …

Annals of the American Thoracic Society, Vol.14(11), pp.1638-1645

11/2017

DOI: 10.1513/AnnalsATS.201610-821OC

PMCID: PMC5711268

PMID: 29090990

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Abstract

Handgrip strength (HGS) predicts mortality in the elderly, but its determinants and clinical significance in chronic obstructive pulmonary disease (COPD) has not been defined. We tested associations of HGS with pectoralis muscle area (PMA), subcutaneous adipose tissue (SAT), imaging characteristics, and lung function in smokers with COPD, and evaluated the cross-sectional and longitudinal associations of HGS with acute respiratory events. We analyzed demographic, clinical, spirometry, HGS, and imaging data of 272 subjects with COPD, obtaining measures of airway thickness, emphysema, PMA, and SAT from chest computed tomography scans. We tested associations of lung function and imaging characteristics with HGS, using linear models. HGS association to acute respiratory events at enrollment and during follow-up (mean, 2.6 years) was analyzed using adjusted logistic models. HGS correlated with PMA, SAT, forced expiratory volume, and airway thickness, but not with body mass index or emphysema severity. In adjusted regression models, HGS was directly (β, 1.5; 95% confidence interval [CI], 0.1-3.0) and inversely (β, -3.3; 95% CI, -5.1 to -0.9) associated with one standard deviation of PMA and SAT, respectively, independent of body mass index and emphysema. In regression models adjusted for age, sex, body mass index, race, pack-years smoked, current smoking, chronic bronchitis, FEV % predicted, emphysema, and airway metrics, HGS was associated with exacerbation risk; in cross-sectional analyses, there was an increment of 5% in the risk of exacerbations for each 1-kg decrement in HGS (risk ratio, 1.05; 95% CI, 1.01-1.08), and there was a similar risk during follow-up (risk ratio, 1.04; 95% CI, 1.01-1,07). In ever-smokers with COPD, HGS is associated with computed tomography markers of body composition and airway thickness, independent of body mass index and emphysema. Higher HGS is associated with lower exacerbation frequency.

Body Composition

United States

Body Mass Index

Spirometry

Cross-Sectional Studies

Humans

Middle Aged

Logistic Models

Male

Tomography, X-Ray Computed

Lung - physiopathology

Pulmonary Disease, Chronic Obstructive - physiopathology

Forced Expiratory Volume

Smoking - physiopathology

Female

Pulmonary Disease, Chronic Obstructive - diagnostic imaging

Aged

Hand Strength

Details

Title: Subtitle: Handgrip Strength in Chronic Obstructive Pulmonary Disease. Associations with Acute Exacerbations and Body Composition
Creators: Carlos H Martinez - 1 Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan
Alejandro A Diaz - 2 Division of Pulmonary and Critical Care Medicine, and
Catherine A Meldrum - 1 Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan
Merry-Lynn N McDonald - 3 Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
Susan Murray - 4 School of Public Health, University of Michigan, Ann Arbor, Michigan
Gregory L Kinney - 5 School of Public Health, University of Colorado, Aurora, Colorado
John E Hokanson - 6 VA Ann Arbor Healthcare System, Ann Arbor, Michigan; and
Jeffrey L Curtis - 1 Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan
Russell P Bowler - 7 Division of Pulmonary Medicine, National Jewish Health, Denver, Colorado
MeiLan K Han - 1 Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan
George R Washko - 2 Division of Pulmonary and Critical Care Medicine, and
Elizabeth A Regan - 7 Division of Pulmonary Medicine, National Jewish Health, Denver, Colorado
COPDGene Investigators
Contributors: Eric A Hoffman (Contributor) - University of Iowa, Radiology
Resource Type: Journal article
Publication Details: Annals of the American Thoracic Society, Vol.14(11), pp.1638-1645
DOI: 10.1513/AnnalsATS.201610-821OC
PMID: 29090990
PMCID: PMC5711268
NLM abbreviation: Ann Am Thorac Soc
ISSN: 2325-6621
eISSN: 2325-6621
Publisher: American Thoracic Society; United States
Grant note: K01 HL118714 / NHLBI NIH HHS U01 HL089897 / NHLBI NIH HHS R01 HL107246 / NHLBI NIH HHS R01 HL089856 / NHLBI NIH HHS I01 CX000911 / CSRD VA R01 HL122438 / NHLBI NIH HHS R01 HL122464 / NHLBI NIH HHS U01 HL089856 / NHLBI NIH HHS K23 HL128936 / NHLBI NIH HHS K99 HL121087 / NHLBI NIH HHS S10 OD018526 / NIH HHS R00 HL121087 / NHLBI NIH HHS R01 HL089897 / NHLBI NIH HHS K24 HL138188 / NHLBI NIH HHS
Language: English
Date published: 11/2017
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Psychiatry; Internal Medicine
Record Identifier: 9984051786902771

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