Evidence map›Paper›PMID 32846812›Full record

Observational studyMedicine2020

Clinical importance of respiratory muscle fatigue in patients with cardiovascular disease.

Masanobu Taya, Eisuke Amiya, Masaru Hatano, Akihito Saito, Daisuke Nitta, Hisataka Maki, Yumiko Hosoya, Shun Minatsuki, Masaki Tsuji, Tatsuyuki Sato and 7 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 1 country.

Masanobu TayaDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Eisuke AmiyaDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.ORCID 0000-0003-2810-8040
Masaru HatanoDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Akihito SaitoDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Daisuke NittaDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Hisataka MakiDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Yumiko HosoyaDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Shun MinatsukiDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Masaki TsujiDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Tatsuyuki SatoDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Haruka MurakamiDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Koichi NaritaDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Yuto KonishiDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
Shogo WatanabeDepartment of Medical Technology, Graduate School of Health Sciences, Okayama University, Okayama Prefecture, Japan.
Kazuhiko YokotaDepartment of Rehabilitation Medicine, the University of Tokyo Hospital.
Nobuhiko HagaDepartment of Rehabilitation Medicine, the University of Tokyo Hospital.
Issei KomuroDepartment of Cardiovascular Medicine, Graduate School of Medicine, the University of Tokyo.
The University of Tokyo · JPUniversity of Tokyo Hospital · JPOkayama University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with cardiovascular diseases frequently experience exertional dyspnea. However, the relationship between respiratory muscle strength including its fatigue and cardiovascular dysfunctions remains to be clarified.The maximal inspiratory pressure/maximal expiratory pressure (MIP/MEP) before and after cardiopulmonary exercise testing (CPX) in 44 patients with heart failure and ischemic heart disease were measured. Respiratory muscle fatigue was evaluated by calculating MIP (MIPpost/MIPpre) and MEP (MEPpost/MEPpre) changes.The mean MIPpre and MEPpre values were 67.5 ± 29.0 and 61.6 ± 23.8 cm H2O, respectively. After CPX, MIP decreased in 25 patients, and MEP decreased in 22 patients. We evaluated the correlation relationship between respiratory muscle function including respiratory muscle fatigue and exercise capacity evaluated by CPX such as peak VO2 and VE/VCO2 slope. Among MIP, MEP, change in MIP, and change in MEP, only the value of change in MIP had an association with the value of VE/VCO2 slope (R = -0.36, P = .017). In addition, multivariate analysis for determining factor of change in MIP revealed that the association between the change in MIP and eGFR was independent from other confounding parameters (beta, 0.40, P = .017). The patients were divided into 2 groups, with (MIP change < 0.9) and without respiratory muscle fatigue (MIP change > 0.9), and a significant difference in peak VO2 (14.2 ± 3.4 [with fatigue] vs 17.4 ± 4.7 [without fatigue] mL/kg/min; P = .020) was observed between the groups.Respiratory muscle fatigue demonstrated by the change of MIP before and after CPX significantly correlated with exercise capacity and renal function in patients with cardiovascular disease.

Indexed as

Muscle FatigueAgedExerciseExercise TestExercise ToleranceFemaleGlomerular Filtration RateHeart FailureHumansKidneyMaleMaximal Respiratory PressuresMiddle AgedMyocardial IschemiaRespiratory Muscles

Identifiers

PMID32846812
PMCPMC7447364
OpenAlexW3050502504

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.