Evidence map›Paper›PMID 38193321›Full record

ArticleJournal of the American Heart Association2024

Remote Heart Failure Symptoms Assessment After Myocardial Infarction Identifies Patients at Risk for Death.

Peter Wohlfahrt, Dominik Jenča, Vojtěch Melenovský, Josef Stehlik, John A Spertus, Jolana Mrázková, Marek Šramko, Martin Kotrč, Michael Želízko, Věra Adámková and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. 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
1.6field-weighted citation impact, top 17% 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, 4 citations in OpenAlex.

  1. Observational
  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

12 authors at 4 institutions in 2 countries.

Peter WohlfahrtDepartment of Preventive Cardiology Institute for Clinical and Experimental Medicine Prague Czech Republic.ORCID 0000-0003-2390-526X
Dominik JenčaDepartment of Cardiology Institute for Clinical and Experimental Medicine (IKEM) Prague Czech Republic.ORCID 0000-0003-0432-8460
Vojtěch MelenovskýDepartment of Cardiology Institute for Clinical and Experimental Medicine (IKEM) Prague Czech Republic.ORCID 0000-0001-8921-7078
Josef StehlikUniversity of Utah School of Medicine Salt Lake City UT USA.ORCID 0000-0002-7362-0513
John A SpertusUniversity of Missouri Kansas City's Healthcare Institute for Innovations in Quality and Saint Luke's Mid America Heart Institute Kansas City MO USA.ORCID 0000-0002-2839-2611
Jolana MrázkováExperimental Medicine Centre Institute for Clinical and Experimental Medicine (IKEM) Prague Czech Republic.ORCID 0000-0002-7694-3107
Marek ŠramkoFirst Medical School Charles University Prague Czech Republic.
Martin KotrčDepartment of Cardiology Institute for Clinical and Experimental Medicine (IKEM) Prague Czech Republic.ORCID 0000-0002-2068-0379
Michael ŽelízkoDepartment of Cardiology Institute for Clinical and Experimental Medicine (IKEM) Prague Czech Republic.
Věra AdámkováDepartment of Preventive Cardiology Institute for Clinical and Experimental Medicine Prague Czech Republic.ORCID 0000-0001-8679-3184
Jan PiťhaDepartment of Cardiology Institute for Clinical and Experimental Medicine (IKEM) Prague Czech Republic.ORCID 0000-0001-9310-0067
Josef KautznerDepartment of Cardiology Institute for Clinical and Experimental Medicine (IKEM) Prague Czech Republic.ORCID 0000-0002-1632-6182
Institute of Clinical and Experimental Medicine · CZCharles University · CZSaint Luke's Health System · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure is a common complication after myocardial infarction (MI) and is associated with increased mortality. Whether remote heart failure symptoms assessment after MI can improve risk stratification is unknown. The authors evaluated the association of the 23-item Kansas City Cardiomyopathy Questionnaire (KCCQ) with all-cause mortality after MI. METHODS AND

resultsProspectively collected data from consecutive patients hospitalized for MI at a large tertiary heart center between June 2017 and September 2022 were used. Patients remotely completed the KCCQ 1 month after discharge. A total of 1135 (aged 64±12 years, 26.7% women) of 1721 eligible patients completed the KCCQ. Ranges of KCCQ scores revealed that 30 (2.6%), 114 (10.0%), 274 (24.1%), and 717 (63.2%) had scores <25, 25 to 49, 50 to 74, and ≥75, respectively. During a mean follow-up of 46 months (interquartile range, 29-61), 146 (12.9%) died. In a fully adjusted analysis, KCCQ scores <50 were independently associated with mortality (hazard ratio [HR], 6.05 for KCCQ <25, HR, 2.66 for KCCQ 25-49 versus KCCQ ≥50; both

conclusionsRemote evaluation of heart failure symptoms using the KCCQ among patients recently discharged for MI identifies patients at risk for mortality. Whether closer follow-up and targeted therapy can reduce mortality in high-risk patients warrants further study.

Indexed as

Heart FailureMyocardial InfarctionFemaleHealth StatusHospitalizationHumansMalePatient DischargeProportional Hazards ModelsQuality of Lifeheart failureKCCQmortalitymyocardial infarctionprognosissymptoms

Identifiers

PMID38193321
PMCPMC10926820
OpenAlexW4390727605

What OpenQuestion holds

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LicenceCC BY
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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.