In:
Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 138, No. Suppl_1 ( 2018-11-06)
Abstract:
Introduction: Exercise capacity is related to the prognosis of coronary heart disease (CHD). Recent study have shown that quadriceps strength can be used to predict exercise capacity levels in patients with CHD. Hypothesis: The aim of this study is to determine whether this relationship between muscular strength and exercise capacity is maintained in hand grip strength (HGS). Methods: We studied 310 participants (Age; 62.1 ± 11.5, Men; 77.4 %) who underwent coronary intervention and participated cardiac rehabilitation. Maximal HGS was expressed as absolute value (kg), and relative to bodyweight (%bodyweight). Logistic regression was used to assess the relationship of maximal HGS, age, sex, type of CHD, diabetes, hypertension, renal insufficiency, ejection fraction, body mass index, body weight, waist to hip ratio, and basal metabolic rate with distance walked on 6-minuite walk test (6MWT) and estimated metabolic equivalents (eMETs). Results: Maximal HGS was significantly related to distance walked on 6 MWT (r = 0.40 for %bodyweight, p 〈 0.001) and eMETs (r = 0.43 for %bodyweight, p 〈 0.001). Maximal HGS was the strongest predictor of exercise capacity in each distance walked on 6 MWT category. Receiver operating characteristics curves identified maximal HGS of 35.7, 42.0% bodyweight as the best predictive cut offs for 200, and 400 meters, respectively with positive predictive values of 0.64. They also identified HGS of 38.3, and 44.6% bodyweight as the best predictive cut offs for 6 and 8 eMETs, respectively with positive predictive values of 0.70. Conclusions: Maximal HGS is related with distance on 6 MWT and eMETs levels at exercise test in CHD patients. This result suggests that maximal HGS can be used to predict exercise capacity levels. Based on this result, prospective study investigating the association between HGS and clinical outcome of CHD is needed.
Type of Medium:
Online Resource
ISSN:
0009-7322
,
1524-4539
DOI:
10.1161/circ.138.suppl_1.17352
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2018
detail.hit.zdb_id:
1466401-X
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