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Remote Heart Failure Symptoms Assessment After Myocardial Infarction Identifies Patients at Risk for Death
P. Wohlfahrt, D. Jenča, V. Melenovský, J. Stehlik, JA. Spertus, J. Mrázková, M. Šramko, M. Kotrč, M. Želízko, V. Adámková, J. Piťha, J. Kautzner
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2012
Free Medical Journals
od 2012
PubMed Central
od 2012
Europe PubMed Central
od 2012
Open Access Digital Library
od 2012-01-01
Open Access Digital Library
od 2012-01-01
Open Access Digital Library
od 2015-01-01
Wiley-Blackwell Open Access Titles
od 2012
ROAD: Directory of Open Access Scholarly Resources
od 2012
PubMed
38193321
DOI
10.1161/jaha.123.032505
Knihovny.cz E-zdroje
- MeSH
- hospitalizace MeSH
- infarkt myokardu * komplikace diagnóza MeSH
- kvalita života MeSH
- lidé MeSH
- proporcionální rizikové modely MeSH
- propuštění pacienta MeSH
- srdeční selhání * terapie MeSH
- zdravotní stav MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Heart 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 RESULTS: Prospectively 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 P<0.001). Adding the 30-day KCCQ to clinical risk factors improved risk stratification: change in area under the curve of 2.6 (95% CI, 0.3-5.0), Brier score of -0.6 (95% CI, -1.0 to -0.2), and net reclassification improvement of 0.71 (95% CI, 0.45-1.04). KCCQ items most strongly associated with mortality were walking impairment, leg swelling, and change in symptoms. CONCLUSIONS: Remote 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.
1st Medical School Charles University Prague Czech Republic
3rd Medical School Charles University Prague Czech Republic
Department of Cardiology Institute for Clinical and Experimental Medicine Prague Czech Republic
Experimental Medicine Centre Institute for Clinical and Experimental Medicine Prague Czech Republic
Medical and Dentistry School Palacký University Olomouc Czech Republic
Citace poskytuje Crossref.org
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