Cited 0 time in
Atypical Symptoms on Admission Predict Progression to Heart Failure in Patients with First-Time Myocardial Infarction: Using Data from the Korean Multicenter Cohort Registry
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hwang, Seon Young | - |
| dc.contributor.author | Um, In Ae | - |
| dc.contributor.author | Kim, Sun Hwa | - |
| dc.contributor.author | Kim, Jiyoung | - |
| dc.contributor.author | Jeong, Myung Ho | - |
| dc.date.accessioned | 2026-01-23T02:30:22Z | - |
| dc.date.available | 2026-01-23T02:30:22Z | - |
| dc.date.issued | 2026-01 | - |
| dc.identifier.issn | 0889-4655 | - |
| dc.identifier.issn | 1550-5049 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210448 | - |
| dc.description.abstract | Background: Identifying the initial factors predicting heart failure (HF) progression in patients with myocardial infarction (MI), a major cause of HF, is essential. Objectives: We aimed to examine predictors of rehospitalization due to HF in patients with first-time MI from the Korea Acute Myocardial Infarction Registry-National Institutes of Health (KAMIR-NIH) prospective cohort between 2011 and 2015. Methods: A secondary data analysis was conducted on a population of 8888 patients who completed 3 years of follow-up and had no history of MI, HF, or death. The HF group was defined as patients rehospitalized with an HF diagnosis due to worsening symptoms. A 1:4 propensity score matching analysis was performed on 11 baseline characteristics, and the clinical conditions and complications of the HF group (n = 252) were compared with the non-HF group (n = 991). Statistical analyses were performed using SAS version 9.4 and R version 4.2.3. Results: A Cox proportional hazards model showed that the factors predicting rehospitalization due to HF were dyspnea (HR, 1.54; 95% CI, 1.16–2.04; P = .003), left ventricular ejection fraction <50% (HR, 2.71; 95% CI, 2.06–3.58; P < .001), and new-onset HF confirmed during hospitalization (HR, 1.77; 95% CI, 1.18–2.66; P = .006). Atypical chest pain (no chest pain) was significant only in univariate analysis. Conclusions: This study highlights the importance of carefully monitoring symptoms and conditions during outpatient follow-up in post-MI patients, regardless of age, sex, or medical history. In particular, those who present with dyspnea at admission or develop new-onset HF during hospitalization should be considered high-risk for HF rehospitalization. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | LIPPINCOTT WILLIAMS & WILKINS | - |
| dc.title | Atypical Symptoms on Admission Predict Progression to Heart Failure in Patients with First-Time Myocardial Infarction: Using Data from the Korean Multicenter Cohort Registry | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1097/JCN.0000000000001212 | - |
| dc.identifier.scopusid | 2-s2.0-105002216977 | - |
| dc.identifier.wosid | 001628397500001 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF CARDIOVASCULAR NURSING, v.41, no.1, pp E33 - E40 | - |
| dc.citation.title | JOURNAL OF CARDIOVASCULAR NURSING | - |
| dc.citation.volume | 41 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | E33 | - |
| dc.citation.endPage | E40 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | ssci | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Cardiovascular System & Cardiology | - |
| dc.relation.journalResearchArea | Nursing | - |
| dc.relation.journalWebOfScienceCategory | Cardiac & Cardiovascular Systems | - |
| dc.relation.journalWebOfScienceCategory | Nursing | - |
| dc.subject.keywordPlus | RISK | - |
| dc.subject.keywordAuthor | acute myocardial infarction | - |
| dc.subject.keywordAuthor | heart failure | - |
| dc.subject.keywordAuthor | propensity score | - |
| dc.subject.keywordAuthor | secondary prevention | - |
| dc.subject.keywordAuthor | symptoms | - |
| dc.identifier.url | https://journals.lww.com/jcnjournal/fulltext/9900/atypical_symptoms_on_admission_predict_progression.281.aspx | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
