A New Risk Score to Predict In-Hospital Mortality in Elderly Patients With Acute Heart Failure: On Behalf of the Journey HF-TR Study Investigators
dc.authorid | Zoghi, Mehdi/0000-0002-8156-2675 | |
dc.authorid | CETIN, NURULLAH/0000-0002-4158-5469 | |
dc.authorid | Cengiz, Mahir/0000-0003-3343-8650 | |
dc.authorid | Karadag, Mehmet/0000-0001-9539-4193 | |
dc.contributor.author | Gok, Gulay | |
dc.contributor.author | Karadag, Mehmet | |
dc.contributor.author | Sinan, Umit Yasar | |
dc.contributor.author | Zoghi, Mehdi | |
dc.date.accessioned | 2024-09-18T20:16:43Z | |
dc.date.available | 2024-09-18T20:16:43Z | |
dc.date.issued | 2020 | |
dc.department | Hatay Mustafa Kemal Üniversitesi | en_US |
dc.description.abstract | We aimed to predict in-hospital mortality of elderly patients with heart failure (HF) by using a risk score model which could be easily applied in routine clinical practice without using an electronic calculator. The study population (n = 1034) recruited from the Journey HF-TR (Patient Journey in Hospital with Heart Failure in Turkish Population) study was divided into a derivation and a validation cohort. The parameters related to in-hospital mortality were first analyzed by univariate analysis, then the variables found to be significant in that analysis were entered into a stepwise multivariate logistic regression (LR) analysis. Patients were classified as low, intermediate, and high risk. A risk score obtained by taking into account the regression coefficients of the significant variables as a result of the LR analysis was tested in the validation cohort using receiver operating characteristic curve analysis. In total, 6 independent variables (age, blood urea nitrogen, previous history of hemodialysis/hemofiltration, inotropic agent use, and length of intensive care stay) associated with in-hospital mortality were included in the analysis. The risk score had a good discrimination in both the derivation and validation cohorts. A new validated risk score to determine the risk of in-hospital mortality of elderly hospitalized patients with HF was developed by including 6 independent predictors. | en_US |
dc.identifier.doi | 10.1177/0003319720941758 | |
dc.identifier.endpage | 954 | en_US |
dc.identifier.issn | 0003-3197 | |
dc.identifier.issn | 1940-1574 | |
dc.identifier.issue | 10 | en_US |
dc.identifier.pmid | 32705877 | en_US |
dc.identifier.scopus | 2-s2.0-85088463691 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 948 | en_US |
dc.identifier.uri | https://doi.org/10.1177/0003319720941758 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12483/9707 | |
dc.identifier.volume | 71 | en_US |
dc.identifier.wos | WOS:000552511500001 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Sage Publications Inc | en_US |
dc.relation.ispartof | Angiology | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | elderly | en_US |
dc.subject | heart failure | en_US |
dc.subject | risk score | en_US |
dc.subject | in-hospital mortality | en_US |
dc.title | A New Risk Score to Predict In-Hospital Mortality in Elderly Patients With Acute Heart Failure: On Behalf of the Journey HF-TR Study Investigators | en_US |
dc.type | Article | en_US |
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