Evidence map›Paper›PMID 35129215›Full record

ArticleClinical cardiology2022

Heart rate as an early predictor of severe cardiomyopathy and increased mortality in peripartum cardiomyopathy.

Ryan Cooney, John R Scott, Madeline Mahowald, Elizabeth Langen, Garima Sharma, David P Kao, Melinda B Davis

Open access · goldAbstract read
In one paragraph

Article in Clinical cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. The association of heart rate with adverse outcomes and recurrent heart failure hospitalization in peripartum cardiomyopathy.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
    Article
  2. Article
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

7 authors at 5 institutions in 1 country.

Ryan CooneyDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID http://orcid.org/0000-0002-9323-1574
John R ScottDepartment of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-4900-0891
Madeline MahowaldMinneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minnesota, USA.
Elizabeth LangenDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA.
Garima SharmaDepartment of Internal Medicine, Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Division of Cardiology, Baltimore, Maryland, USA.
David P KaoDepartment of Internal Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Melinda B DavisDepartment of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-3676-1982
University of Michigan · USAbbott Northwestern Hospital · USCenter for Occupational and Environmental Neurology · USMichigan Medicine · USUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelays in diagnosis of peripartum cardiomyopathy (PPCM) are common and are associated with worse outcomes; however, few studies have addressed methods for improving early detection. HYPOTHESIS: We hypothesized that easily accessible data (heart rate [HR] and electrocardiograms [ECGs]) could identify women with more severe PPCM and at increased risk of adverse outcomes.

methodsClinical data, including HR and ECG, from patients diagnosed with PPCM between January 1998 and July 2016 at our institution were collected and analyzed. Linear and logistic regression were used to analyze the relationship between HR at diagnosis and the left ventricular ejection fraction (LVEF) at diagnosis. Outcomes included overall mortality, recovery status, and major adverse cardiac events.

resultsAmong 82 patients meeting inclusion criteria, the overall mean LVEF at diagnosis was 26 ± 11.1%. Sinus tachycardia (HR > 100) was present in a total of 50 patients (60.9%) at the time of diagnosis. In linear regression, HR significantly predicted lower LVEF (F = 30.00, p < .0001). With age-adjusted logistic regression, elevated HR at diagnosis was associated with a fivefold higher risk of overall mortality when initial HR was >110 beats per minute (adjusted odds ratio 5.35, confidence interval 1.23-23.28), p = .025).

conclusionIn this study, sinus tachycardia in women with PPCM was associated with lower LVEF at the time of diagnosis. Tachycardia in the peripartum period should raise concern for cardiomyopathy and may be an early indicator of adverse prognosis.

Indexed as

CardiomyopathiesPregnancy Complications, CardiovascularFemaleHeart RateHumansPeripartum PeriodPregnancyStroke VolumeVentricular Function, Leftheart failurenonischemic cardiomyopathyoutcomesperipartum cardiomyopathypregnancyrisk factors

Identifiers

PMID35129215
PMCPMC8860487
OpenAlexW4210828438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.