Clinical utility of simple subjective gait speed for the risk stratification of heart failure in a primary prevention setting View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-07-08

AUTHORS

Kensuke Ueno, Hidehiro Kaneko, Kentaro Kamiya, Hidetaka Itoh, Akira Okada, Yuta Suzuki, Satoshi Matsuoka, Katsuhito Fujiu, Nobuaki Michihata, Taisuke Jo, Norifumi Takeda, Hiroyuki Morita, Junya Ako, Hideo Yasunaga, Issei Komuro

ABSTRACT

Little is known regarding the relationship between self-reported gait speed and the subsequent risk of heart failure (HF) and cardiovascular disease (CVD). We sought to clarify the clinical utility of self-reported gait speed in primary CVD prevention settings. This is an observational cohort study using the JMDC Claims Database, which is an administrative health claims database. Data were collected between January 2005 and April 2020. Medical records of 2,655,359 participants without a prior history of CVD were extracted from the JMDC Claims Database. Gait speed was assessed using information from questionnaires provided at health check-ups, and study participants were categorized into fast or slow gait speed groups. The primary outcome was HF. The secondary outcomes included myocardial infarction (MI), angina pectoris (AP), and stroke. The median age was 45.0 years, and 55.3% of participants were men. 46.1% reported a fast gait speed. The mean follow-up period was 1180 ± 906 days. HF, MI, AP, and stroke occurred in 1.9%, 0.2%, 1.9%, and 1.0% of participants, respectively. Multivariable Cox regression analyses showed that, compared with slow gait speed, fast gait speed was associated with a lower incidence of HF, MI, AP, and stroke. The discriminative predictive ability for HF significantly improved by adding self-reported gait speeds to traditional risk factors (net reclassification improvement 0.0347, p < 0.001). In conclusion, our analysis demonstrated that subjective gait speed could be a simple method to stratify the risk of HF and other CVD events in the general population. Further investigations are required to clarify the underlying mechanism of our results and to develop a novel approach for primary CVD prevention. More... »

PAGES

11641

Journal

TITLE

Scientific Reports

ISSUE

1

VOLUME

12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-022-13752-7

DOI

http://dx.doi.org/10.1038/s41598-022-13752-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1149328395

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35803973


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23 schema:description Little is known regarding the relationship between self-reported gait speed and the subsequent risk of heart failure (HF) and cardiovascular disease (CVD). We sought to clarify the clinical utility of self-reported gait speed in primary CVD prevention settings. This is an observational cohort study using the JMDC Claims Database, which is an administrative health claims database. Data were collected between January 2005 and April 2020. Medical records of 2,655,359 participants without a prior history of CVD were extracted from the JMDC Claims Database. Gait speed was assessed using information from questionnaires provided at health check-ups, and study participants were categorized into fast or slow gait speed groups. The primary outcome was HF. The secondary outcomes included myocardial infarction (MI), angina pectoris (AP), and stroke. The median age was 45.0 years, and 55.3% of participants were men. 46.1% reported a fast gait speed. The mean follow-up period was 1180 ± 906 days. HF, MI, AP, and stroke occurred in 1.9%, 0.2%, 1.9%, and 1.0% of participants, respectively. Multivariable Cox regression analyses showed that, compared with slow gait speed, fast gait speed was associated with a lower incidence of HF, MI, AP, and stroke. The discriminative predictive ability for HF significantly improved by adding self-reported gait speeds to traditional risk factors (net reclassification improvement 0.0347, p < 0.001). In conclusion, our analysis demonstrated that subjective gait speed could be a simple method to stratify the risk of HF and other CVD events in the general population. Further investigations are required to clarify the underlying mechanism of our results and to develop a novel approach for primary CVD prevention.
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30 CVD prevention
31 Cox regression analysis
32 JMDC Claims Database
33 Secondary outcomes
34 ability
35 administrative health claims database
36 age
37 analysis
38 angina pectoris
39 approach
40 cardiovascular disease
41 claims database
42 clinical utility
43 cohort study
44 conclusion
45 data
46 database
47 days
48 disease
49 events
50 factors
51 failure
52 fast gait speed
53 follow
54 further investigation
55 gait speed
56 gait speed group
57 general population
58 group
59 health
60 health claims database
61 heart failure
62 history
63 incidence
64 infarction
65 information
66 investigation
67 lower incidence
68 mean follow
69 mechanism
70 median age
71 medical records
72 men
73 method
74 multivariable Cox regression analysis
75 myocardial infarction
76 novel approach
77 observational cohort study
78 outcomes
79 participants
80 pectoris
81 period
82 population
83 predictive ability
84 prevention
85 prevention setting
86 primary CVD prevention
87 primary outcome
88 primary prevention
89 prior history
90 questionnaire
91 records
92 regression analysis
93 relationship
94 results
95 risk
96 risk factors
97 risk of HF
98 risk stratification
99 setting
100 simple method
101 slow gait speed
102 speed
103 speed group
104 stratification
105 stroke
106 study
107 study participants
108 subsequent risk
109 traditional risk factors
110 underlying mechanism
111 utility
112 years
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