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Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure

BACKGROUND: The burden of noncardiovascular conditions is becoming increasingly prevalent in patients with heart failure (HF). We aimed to identify novel phenogroups incorporating noncardiovascular conditions to facilitate understanding and risk stratification in elderly patients with HF. METHODS AN...

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Autores principales: Nakamaru, Ryo, Shiraishi, Yasuyuki, Niimi, Nozomi, Kohno, Takashi, Nagatomo, Yuji, Takei, Makoto, Ikoma, Takenori, Nishikawa, Kei, Sakamoto, Munehisa, Nakano, Shintaro, Kohsaka, Shun, Yoshikawa, Tsutomu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9973643/
https://www.ncbi.nlm.nih.gov/pubmed/36695300
http://dx.doi.org/10.1161/JAHA.122.027689
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author Nakamaru, Ryo
Shiraishi, Yasuyuki
Niimi, Nozomi
Kohno, Takashi
Nagatomo, Yuji
Takei, Makoto
Ikoma, Takenori
Nishikawa, Kei
Sakamoto, Munehisa
Nakano, Shintaro
Kohsaka, Shun
Yoshikawa, Tsutomu
author_facet Nakamaru, Ryo
Shiraishi, Yasuyuki
Niimi, Nozomi
Kohno, Takashi
Nagatomo, Yuji
Takei, Makoto
Ikoma, Takenori
Nishikawa, Kei
Sakamoto, Munehisa
Nakano, Shintaro
Kohsaka, Shun
Yoshikawa, Tsutomu
author_sort Nakamaru, Ryo
collection PubMed
description BACKGROUND: The burden of noncardiovascular conditions is becoming increasingly prevalent in patients with heart failure (HF). We aimed to identify novel phenogroups incorporating noncardiovascular conditions to facilitate understanding and risk stratification in elderly patients with HF. METHODS AND RESULTS: Data from a total of 1881 (61.2%) patients aged ≥65 years were extracted from a prospective multicenter registry of patients hospitalized for acute HF (N=3072). We constructed subgroups of patients with HF with preserved ejection fraction (HFpEF; N=826, 43.9%) and those with non‐HFpEF (N=1055, 56.1%). Latent class analysis was performed in each subgroup using 17 variables focused on noncardiovascular conditions (including comorbidities, Clinical Frailty Scale, and Geriatric Nutritional Risk Index). The latent class analysis revealed 3 distinct clinical phenogroups in both HFpEF and non‐HFpEF subgroups: (1) robust physical and nutritional status (Group 1: HFpEF, 41.2%; non‐HFpEF, 46.0%); (2) multimorbid patients with renal impairment (Group 2: HFpEF, 40.8%; non‐HFpEF, 41.9%); and (3) malnourished patients (Group 3: HFpEF, 18.0%; non‐HFpEF, 12.1%). After multivariable adjustment, compared with Group 1, patients in Groups 2 and 3 had a higher risk for all‐cause death over the 1‐year postdischarge period (hazard ratio [HR], 2.79 [95% CI, 1.64–4.81] and HR, 2.73 [95% CI, 1.39–5.35] in HFpEF; HR, 1.96 [95% CI, 1.22–3.14] and HR, 2.97 [95% CI, 1.64–5.38] in non‐HFpEF; respectively). CONCLUSIONS: In elderly patients with HF, the phenomapping focused on incorporating noncardiovascular conditions identified 3 phenogroups, each representing distinct clinical outcomes, and the discrimination pattern was similar for both patients with HFpEF and non‐HFpEF. This classification provides novel risk stratification and may aid in clinical decision making.
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spelling pubmed-99736432023-03-01 Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure Nakamaru, Ryo Shiraishi, Yasuyuki Niimi, Nozomi Kohno, Takashi Nagatomo, Yuji Takei, Makoto Ikoma, Takenori Nishikawa, Kei Sakamoto, Munehisa Nakano, Shintaro Kohsaka, Shun Yoshikawa, Tsutomu J Am Heart Assoc Original Research BACKGROUND: The burden of noncardiovascular conditions is becoming increasingly prevalent in patients with heart failure (HF). We aimed to identify novel phenogroups incorporating noncardiovascular conditions to facilitate understanding and risk stratification in elderly patients with HF. METHODS AND RESULTS: Data from a total of 1881 (61.2%) patients aged ≥65 years were extracted from a prospective multicenter registry of patients hospitalized for acute HF (N=3072). We constructed subgroups of patients with HF with preserved ejection fraction (HFpEF; N=826, 43.9%) and those with non‐HFpEF (N=1055, 56.1%). Latent class analysis was performed in each subgroup using 17 variables focused on noncardiovascular conditions (including comorbidities, Clinical Frailty Scale, and Geriatric Nutritional Risk Index). The latent class analysis revealed 3 distinct clinical phenogroups in both HFpEF and non‐HFpEF subgroups: (1) robust physical and nutritional status (Group 1: HFpEF, 41.2%; non‐HFpEF, 46.0%); (2) multimorbid patients with renal impairment (Group 2: HFpEF, 40.8%; non‐HFpEF, 41.9%); and (3) malnourished patients (Group 3: HFpEF, 18.0%; non‐HFpEF, 12.1%). After multivariable adjustment, compared with Group 1, patients in Groups 2 and 3 had a higher risk for all‐cause death over the 1‐year postdischarge period (hazard ratio [HR], 2.79 [95% CI, 1.64–4.81] and HR, 2.73 [95% CI, 1.39–5.35] in HFpEF; HR, 1.96 [95% CI, 1.22–3.14] and HR, 2.97 [95% CI, 1.64–5.38] in non‐HFpEF; respectively). CONCLUSIONS: In elderly patients with HF, the phenomapping focused on incorporating noncardiovascular conditions identified 3 phenogroups, each representing distinct clinical outcomes, and the discrimination pattern was similar for both patients with HFpEF and non‐HFpEF. This classification provides novel risk stratification and may aid in clinical decision making. John Wiley and Sons Inc. 2023-01-25 /pmc/articles/PMC9973643/ /pubmed/36695300 http://dx.doi.org/10.1161/JAHA.122.027689 Text en © 2023 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Nakamaru, Ryo
Shiraishi, Yasuyuki
Niimi, Nozomi
Kohno, Takashi
Nagatomo, Yuji
Takei, Makoto
Ikoma, Takenori
Nishikawa, Kei
Sakamoto, Munehisa
Nakano, Shintaro
Kohsaka, Shun
Yoshikawa, Tsutomu
Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure
title Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure
title_full Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure
title_fullStr Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure
title_full_unstemmed Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure
title_short Phenotyping of Elderly Patients With Heart Failure Focused on Noncardiac Conditions: A Latent Class Analysis From a Multicenter Registry of Patients Hospitalized With Heart Failure
title_sort phenotyping of elderly patients with heart failure focused on noncardiac conditions: a latent class analysis from a multicenter registry of patients hospitalized with heart failure
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9973643/
https://www.ncbi.nlm.nih.gov/pubmed/36695300
http://dx.doi.org/10.1161/JAHA.122.027689
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