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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9197250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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