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Comorbidity patterns in institutionalized older adults affected by dementia

INTRODUCTION: Dementia is common in nursing homes (NH) residents. Defining dementia comorbidities is instrumental to identify groups of persons with dementia that differ in terms of health trajectories and resources consumption. We performed a cross‐sectional study to identify comorbidity patterns a...

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Autores principales: Zazzara, Maria Beatrice, Vetrano, Davide Liborio, Carfì, Angelo, Liperoti, Rosa, Damiano, Cecilia, Onder, Graziano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197250/
https://www.ncbi.nlm.nih.gov/pubmed/35734097
http://dx.doi.org/10.1002/dad2.12320
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author Zazzara, Maria Beatrice
Vetrano, Davide Liborio
Carfì, Angelo
Liperoti, Rosa
Damiano, Cecilia
Onder, Graziano
author_facet Zazzara, Maria Beatrice
Vetrano, Davide Liborio
Carfì, Angelo
Liperoti, Rosa
Damiano, Cecilia
Onder, Graziano
author_sort Zazzara, Maria Beatrice
collection PubMed
description INTRODUCTION: Dementia is common in nursing homes (NH) residents. Defining dementia comorbidities is instrumental to identify groups of persons with dementia that differ in terms of health trajectories and resources consumption. We performed a cross‐sectional study to identify comorbidity patterns and their associated clinical, behavioral, and functional phenotypes in institutionalized older adults with dementia. METHODS: We analyzed data on 2563 Italian NH residents with dementia, collected between January 2014 and December 2018 using the multidimensional assessment instrument interRAI Long‐Term Care Facility (LTCF). A standard principal component procedure was used to identify comorbidity patterns. Linear regression analyses were used to ascertain correlates of expression of the different patterns. RESULTS: Among NH residents with dementia, we identified three different comorbidity patterns: (1) heart diseases, (2) cardiovascular and respiratory diseases and sensory impairments, and (3) psychiatric diseases. Older age significantly related to increased expression of the first two patterns, while younger patients displayed increased expression of the third one. Recent hospital admissions were associated with increased expression of the heart diseases pattern (β = 0.028; 95% confidence interval [CI] 0.003 to 0.05). Depressive symptoms and delirium episodes increased the expression of the psychiatric diseases pattern (β = 0.130, 95% CI 0.10 to 0.17, and β 0.130, CI 0.10 to 0.17, respectively), while showed a lower expression of the heart diseases pattern. DISCUSSION: We identified different comorbidity patterns within NH residents with dementia that differ in term of clinical and functional profiles. The prompt recognition of health needs associated to a comorbidity pattern may help improve long‐term prognosis and quality of life of these individuals. HIGHLIGHTS: Defining dementia comorbidities patterns in institutionalized older adults is key. Institutionalized older adults with dementia express different care needs. Comorbidity patterns are instrumental to identify different patients’ phenotypes. Phenotypes vary in terms of health trajectories and demand different care plans. Prompt recognition of phenotypes in nursing homes can positively impact on outcomes.
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spelling pubmed-91972502022-06-21 Comorbidity patterns in institutionalized older adults affected by dementia Zazzara, Maria Beatrice Vetrano, Davide Liborio Carfì, Angelo Liperoti, Rosa Damiano, Cecilia Onder, Graziano Alzheimers Dement (Amst) Diagnostic and Prognostic Assessment INTRODUCTION: Dementia is common in nursing homes (NH) residents. Defining dementia comorbidities is instrumental to identify groups of persons with dementia that differ in terms of health trajectories and resources consumption. We performed a cross‐sectional study to identify comorbidity patterns and their associated clinical, behavioral, and functional phenotypes in institutionalized older adults with dementia. METHODS: We analyzed data on 2563 Italian NH residents with dementia, collected between January 2014 and December 2018 using the multidimensional assessment instrument interRAI Long‐Term Care Facility (LTCF). A standard principal component procedure was used to identify comorbidity patterns. Linear regression analyses were used to ascertain correlates of expression of the different patterns. RESULTS: Among NH residents with dementia, we identified three different comorbidity patterns: (1) heart diseases, (2) cardiovascular and respiratory diseases and sensory impairments, and (3) psychiatric diseases. Older age significantly related to increased expression of the first two patterns, while younger patients displayed increased expression of the third one. Recent hospital admissions were associated with increased expression of the heart diseases pattern (β = 0.028; 95% confidence interval [CI] 0.003 to 0.05). Depressive symptoms and delirium episodes increased the expression of the psychiatric diseases pattern (β = 0.130, 95% CI 0.10 to 0.17, and β 0.130, CI 0.10 to 0.17, respectively), while showed a lower expression of the heart diseases pattern. DISCUSSION: We identified different comorbidity patterns within NH residents with dementia that differ in term of clinical and functional profiles. The prompt recognition of health needs associated to a comorbidity pattern may help improve long‐term prognosis and quality of life of these individuals. HIGHLIGHTS: Defining dementia comorbidities patterns in institutionalized older adults is key. Institutionalized older adults with dementia express different care needs. Comorbidity patterns are instrumental to identify different patients’ phenotypes. Phenotypes vary in terms of health trajectories and demand different care plans. Prompt recognition of phenotypes in nursing homes can positively impact on outcomes. John Wiley and Sons Inc. 2022-06-14 /pmc/articles/PMC9197250/ /pubmed/35734097 http://dx.doi.org/10.1002/dad2.12320 Text en © 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Diagnostic and Prognostic Assessment
Zazzara, Maria Beatrice
Vetrano, Davide Liborio
Carfì, Angelo
Liperoti, Rosa
Damiano, Cecilia
Onder, Graziano
Comorbidity patterns in institutionalized older adults affected by dementia
title Comorbidity patterns in institutionalized older adults affected by dementia
title_full Comorbidity patterns in institutionalized older adults affected by dementia
title_fullStr Comorbidity patterns in institutionalized older adults affected by dementia
title_full_unstemmed Comorbidity patterns in institutionalized older adults affected by dementia
title_short Comorbidity patterns in institutionalized older adults affected by dementia
title_sort comorbidity patterns in institutionalized older adults affected by dementia
topic Diagnostic and Prognostic Assessment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197250/
https://www.ncbi.nlm.nih.gov/pubmed/35734097
http://dx.doi.org/10.1002/dad2.12320
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