Evidence map›Paper›PMID 32001229›Full record

ArticleThe American journal of medicine2020

Temporal Changes in Resting Heart Rate, Left Ventricular Dysfunction, Heart Failure and Cardiovascular Disease: CARDIA Study.

Chike C Nwabuo, Duke Appiah, Henrique T Moreira, Henrique D Vasconcellos, Queen N Aghaji, Bharath Ambale-Venkatesh, Jamal S Rana, Norrina B Allen, Donald M Lloyd-Jones, Pamela J Schreiner and 2 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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  6. Effects of cocaine and/or heroin use on resting cardiovascular function.International journal of cardiology. Cardiovascular risk and prevention · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 1 country.

Chike C NwabuoJohns Hopkins University, Baltimore, Md.
Duke AppiahDepartment of Public Health, Texas Tech University Health Sciences Center, Lubbock, Tex.
Henrique T MoreiraJohns Hopkins University, Baltimore, Md.
Henrique D VasconcellosJohns Hopkins University, Baltimore, Md.
Queen N AghajiJohns Hopkins University, Baltimore, Md.
Bharath Ambale-VenkateshJohns Hopkins University, Baltimore, Md.
Jamal S RanaDepartment of Cardiology, Kaiser Permanente Northern California, Oakland, Calif.
Norrina B AllenNorthwestern University Feinberg School of Medicine, Chicago, Ill.
Donald M Lloyd-JonesNorthwestern University Feinberg School of Medicine, Chicago, Ill.
Pamela J SchreinerUniversity of Minnesota School of Public Health, Minneapolis.
Samuel S GiddingNemours Cardiac Center, Alfred I. duPont Hospital for Children, Wilmington, Del.
João A C LimaJohns Hopkins University, Baltimore, Md. Electronic address: jlima@jhmi.edu.
Johns Hopkins University · USNorthwestern University · USAlfred I. duPont Hospital for Children · USKaiser Permanente · USTexas Tech University · USUniversity of Minnesota · US

Funding

NHLBI NIH HHS HHSN268201400018CNHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007I
6 · The paper itself

Abstract

backgroundThe prognostic significance of temporal changes in resting heart rate in young adults for premature heart failure and cardiovascular disease is unclear. We investigated the association between temporal changes in resting heart rate in young adults and early adult risk factors, subsequent cardiac function, and the risk of heart failure and cardiovascular by middle age.

methodsWe examined 4343 Coronary Artery Risk Development in Young Adults (CARDIA) study participants (mean [SD] age was 29.9 [3.6] years at the CARDIA Year-5 examination [1990-1991], 49% of participants were men, and 45% were African-American). Adjusted linear regression models were used to assess the association between temporal changes in resting heart rate, early life cardiovascular disease risk factors, and midlife cardiac function. Cox proportional hazard regression models were used to relate temporal changes in resting heart rate to heart failure and cardiovascular disease. Outcomes were followed up until August 31, 2017.

resultsHigher alcohol consumption (β = 0.03, P <0.001), lower physical activity (β = 0.002, P = 001), smoking (β = 1.58, P <0.001), men (P <0.001), African Americans (P <0.001), impaired left ventricular relaxation (e´,β = -0.13, P = 0.002), and worse diastolic function (E/e´, β = 0.1, P = 0.01) were associated with longitudinal increases in resting heart rate. We observed 268 cardiovascular disease and 74 heart failure events over a median of 26 years. In Cox models, baseline and temporal changes in resting heart rate were associated with higher risk of heart failure (hazard ratio [HR] =1.37 95% confidence interval [CI] [1.05-1.79] and HR = 1.38 95% CI [1.02-1.86]) and a higher risk cardiovascular disease (HR = 1.23 95% CI [1.07-1.42] and HR = 1.23 95% CI [1.05-1.44]).

conclusionsBaseline and temporal changes in resting heart rate in young adults were associated with incident heart failure and cardiovascular disease by midlife. Contributory factors were associations between temporal increases in resting heart rate and early adult risk factors and subsequent cardiac dysfunction.

Indexed as

AdultAlcohol DrinkingBlack or African AmericanCardiovascular DiseasesEchocardiographyExerciseFemaleHeart FailureHeart RateHumansLinear ModelsLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRestCardiovascular diseaseDiastolic functionHeart failureHeart rateLeft ventricular function

Identifiers

PMID32001229
PMCPMC7477638
OpenAlexW3002079533

What OpenQuestion holds

Textmetadata
LicenceTDM
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.