Evidence map›Paper›PMID 35403415›Full record

ArticleChronic obstructive pulmonary diseases (Miami, Fla.)2022

Heart Rate Variability on 10-Second Electrocardiogram and Risk of Acute Exacerbation of COPD: A Secondary Analysis of the BLOCK COPD Trial.

David M MacDonald, Takudzwa Mkorombindo, Sharon X Ling, Selcuk Adabag, Richard Casaburi, John E Connett, Erika S Helgeson, Janos Porszasz, Harry B Rossiter, William W Stringer and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Chronic obstructive pulmonary diseases (Miami, Fla.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

14 authors at 5 institutions in 2 countries.

David M MacDonaldPulmonary Section, Minneapolis VA Health Care System, Minneapolis, Minnesota, United States.
Takudzwa MkorombindoLung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Sharon X LingDivision of Biostatistics, University of Minnesota, Minneapolis, Minnesota, United States.
Selcuk AdabagCardiology Section, Minneapolis VA Health Care System, Minneapolis, Minnesota, United States.
Richard CasaburiLundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, United States.
John E ConnettDivision of Biostatistics, University of Minnesota, Minneapolis, Minnesota, United States.
Erika S HelgesonDivision of Biostatistics, University of Minnesota, Minneapolis, Minnesota, United States.
Janos PorszaszLundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, United States.
Harry B RossiterLundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, United States.
William W StringerLundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, United States.
Helen VoelkerDivision of Biostatistics, University of Minnesota, Minneapolis, Minnesota, United States.
Dongxing ZhaoState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Mark T DransfieldLung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Ken M KunisakiPulmonary Section, Minneapolis VA Health Care System, Minneapolis, Minnesota, United States.
UCLA Medical Center · USUniversity of Minnesota · USMinneapolis VA Health Care System · USUniversity of Alabama at Birmingham · USGuangzhou Medical University · CN

Funding

TRAINING-PULMONARY CELL &MOLECULAR BIOLOGY &PHYSIOLOGYT32HL007741 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI DUDLEY, R. ADAMS, INGBAR, DAVID H · 1994 to 2023
$13.9M
UAB Mentoring Program in COPD Patient Oriented ResearchK24HL140108 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DRANSFIELD, MARK T · 2018 to 2022
$439k
NHLBI NIH HHS K24 HL140108NHLBI NIH HHS T32 HL007741
6 · The paper itself

Abstract

Introduction: Autonomic dysfunction is common in chronic obstructive pulmonary disease (COPD), and worse autonomic function may be a marker of risk for acute exacerbations of COPD (AECOPD). Heart rate variability (HRV) is a measure of autonomic function. Our objective was to test whether lower (worse) HRV is a risk factor for AECOPD. Methods: We measured standard deviation of normal RR intervals (SDNN) and root mean square of successive RR interval differences (RMSSD) on 10-second electrocardiograms (ECGs) performed at screening and day 42 in participants in the Beta Blockers for the Prevention of Acute Exacerbations of COPD trial ( BLOCK-COPD), a placebo-controlled trial of metoprolol for prevention of AECOPD. We used Cox-proportional hazards models to test if these HRV measures were associated with risk of any AECOPD, and separately, hospitalized AECOPD. We tested associations using baseline HRV measures and incorporating HRV measures from day 42 as a time-varying covariate. We also tested for interactions with metoprolol assignment. Results: Of 532 trial participants, 529 (forced expiratory volume in 1 second [FEV Conclusions: Autonomic dysfunction as measured by HRV may be a risk factor for AECOPD. Future studies should analyze longer HRV recordings and their performance in broader samples of people with COPD, including those on beta-blockers.

Indexed as

acute exacerbation of COPDautonomic nervous systemBLOCK-COPDelectrocardiogramheart rate variability

Identifiers

PMID35403415
PMCPMC9166329
OpenAlexW4223449366

What OpenQuestion holds

Textmetadata
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.