Evidence map›Paper›PMID 39257518›Full record

ArticlePhysical therapy research2024

Investigation of Skeletal Muscle Indices Affecting Anaerobic Thresholds after Acute Myocardial Infarction.

Yuya Utsumi, Koji Takase, Naoya Murakami, Tokiko Nakagawa, Takuya Obayashi, Riyo Ogura, Shinobu Hosokawa

Abstract read
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Article in Physical therapy research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yuya UtsumiDepartment of Rehabilitation, Tokushima Red Cross Hospital, Japan.
Koji TakaseDepartment of Rehabilitation, Tokushima Red Cross Hospital, Japan.
Naoya MurakamiDepartment of Rehabilitation, Tokushima Red Cross Hospital, Japan.
Tokiko NakagawaDepartment of Rehabilitation, Tokushima Red Cross Hospital, Japan.
Takuya ObayashiDepartment of Rehabilitation, Tokushima Red Cross Hospital, Japan.
Riyo OguraDepartment of Cardiology, Tokushima Red Cross Hospital, Japan.
Shinobu HosokawaDepartment of Cardiology, Tokushima Red Cross Hospital, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate skeletal muscle indices influencing the anaerobic threshold (AT) measured by cardiopulmonary exercise testing (CPX).

methodsThis study included 125 consecutive men (median age: 66.0 years) diagnosed with acute myocardial infarction who underwent CPX before discharge. Participants were categorized into two groups based on their AT: the AT-lowering and AT-maintaining groups, comprising those with AT <11 and ≥11 ml/min/kg, respectively. Skeletal muscle indices that influenced AT, strengths of such influences, and respective cutoff values were investigated using multiple logistic regression analysis, decision-tree analysis, and the random-forest method. Skeletal muscle indices included grip strength, knee extension strength, lower-limb skeletal muscle index, phase angle (PhA), lower-limb PhA, arm circumference (AC), and calf circumference.

resultsLower-limb PhA, AC, age, and body mass index (BMI) influenced AT (model X

conclusionLower-limb PhA was the most influential skeletal muscle index affecting AT. PhA measured using body composition analyzers is useful to identify exercise-limiting factors and determine the effectiveness of exercise because it can be easily performed shortly.

Indexed as

Acute myocardial infarctionAnaerobic thresholdsMuscle qualityPhase angle

Identifiers

PMID39257518
PMCPMC11382791

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.