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A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients

Frailty syndrome (FS) has recently attracted attention as one of the major predictors of heart failure (HF) course severity. We aimed to develop a simple tool for predicting frailty in hospitalized HF patients using routine clinical parameters. A total of 153 hospitalized patients diagnosed with hea...

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Autores principales: Kałużna-Oleksy, Marta, Kukfisz, Agata, Migaj, Jacek, Dudek, Magdalena, Krysztofiak, Helena, Sawczak, Filip, Szczechla, Magdalena, Przytarska, Katarzyna, Straburzyńska-Migaj, Ewa, Wleklik, Marta, Uchmanowicz, Izabella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708413/
https://www.ncbi.nlm.nih.gov/pubmed/34945259
http://dx.doi.org/10.3390/jcm10245963
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author Kałużna-Oleksy, Marta
Kukfisz, Agata
Migaj, Jacek
Dudek, Magdalena
Krysztofiak, Helena
Sawczak, Filip
Szczechla, Magdalena
Przytarska, Katarzyna
Straburzyńska-Migaj, Ewa
Wleklik, Marta
Uchmanowicz, Izabella
author_facet Kałużna-Oleksy, Marta
Kukfisz, Agata
Migaj, Jacek
Dudek, Magdalena
Krysztofiak, Helena
Sawczak, Filip
Szczechla, Magdalena
Przytarska, Katarzyna
Straburzyńska-Migaj, Ewa
Wleklik, Marta
Uchmanowicz, Izabella
author_sort Kałużna-Oleksy, Marta
collection PubMed
description Frailty syndrome (FS) has recently attracted attention as one of the major predictors of heart failure (HF) course severity. We aimed to develop a simple tool for predicting frailty in hospitalized HF patients using routine clinical parameters. A total of 153 hospitalized patients diagnosed with heart failure with reduced ejection fraction (HFrEF) were included in the study. Presence of FS was assessed with the SHARE-FI questionnaire. Clinical and biochemical parameters were collected. Using ROC curves and logistic regression analysis, a model predicting FS presence was developed and tested. Proposed model includes five variables with following cut-off values (1 point for each variable): age > 50 years, systolic pressure on admission < 110 mmHg, total cholesterol < 4.85 mmol/L, bilirubin ≥ 15.5 mmol/L, and alanine aminotransferase ≤ 34 U/L. Receiving 5 points was considered a high risk of FS with positive and negative predictive values (NPV), 83% and 72%, respectively, and specificity of 97%. Awarding 2 points or less ruled out FS in the studied group with negative predictive value 94%. The presented novel, simple score predicts FS in HFrEF patients with routine clinical parameters and has good positive and negative predictive values.
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spelling pubmed-87084132021-12-25 A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients Kałużna-Oleksy, Marta Kukfisz, Agata Migaj, Jacek Dudek, Magdalena Krysztofiak, Helena Sawczak, Filip Szczechla, Magdalena Przytarska, Katarzyna Straburzyńska-Migaj, Ewa Wleklik, Marta Uchmanowicz, Izabella J Clin Med Article Frailty syndrome (FS) has recently attracted attention as one of the major predictors of heart failure (HF) course severity. We aimed to develop a simple tool for predicting frailty in hospitalized HF patients using routine clinical parameters. A total of 153 hospitalized patients diagnosed with heart failure with reduced ejection fraction (HFrEF) were included in the study. Presence of FS was assessed with the SHARE-FI questionnaire. Clinical and biochemical parameters were collected. Using ROC curves and logistic regression analysis, a model predicting FS presence was developed and tested. Proposed model includes five variables with following cut-off values (1 point for each variable): age > 50 years, systolic pressure on admission < 110 mmHg, total cholesterol < 4.85 mmol/L, bilirubin ≥ 15.5 mmol/L, and alanine aminotransferase ≤ 34 U/L. Receiving 5 points was considered a high risk of FS with positive and negative predictive values (NPV), 83% and 72%, respectively, and specificity of 97%. Awarding 2 points or less ruled out FS in the studied group with negative predictive value 94%. The presented novel, simple score predicts FS in HFrEF patients with routine clinical parameters and has good positive and negative predictive values. MDPI 2021-12-19 /pmc/articles/PMC8708413/ /pubmed/34945259 http://dx.doi.org/10.3390/jcm10245963 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kałużna-Oleksy, Marta
Kukfisz, Agata
Migaj, Jacek
Dudek, Magdalena
Krysztofiak, Helena
Sawczak, Filip
Szczechla, Magdalena
Przytarska, Katarzyna
Straburzyńska-Migaj, Ewa
Wleklik, Marta
Uchmanowicz, Izabella
A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients
title A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients
title_full A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients
title_fullStr A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients
title_full_unstemmed A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients
title_short A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients
title_sort simple risk score based on routine clinical parameters can predict frailty in hospitalized heart failure patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708413/
https://www.ncbi.nlm.nih.gov/pubmed/34945259
http://dx.doi.org/10.3390/jcm10245963
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