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Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy
BACKGROUND: Little is known on how frailty influences clinical outcomes in persons with specific multimorbidity patterns. AIMS: To investigate the interplay between multimorbidity and frailty in the association with mortality in older individuals living in nursing homes (NH). METHODS: We considered...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562060/ https://www.ncbi.nlm.nih.gov/pubmed/36239853 http://dx.doi.org/10.1007/s40520-022-02269-8 |
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author | Damiano, Cecilia Onder, Graziano Zazzara, Maria Beatrice Carfì, Angelo Zucchelli, Alberto Marengoni, Alessandra Vetrano, Davide L. |
author_facet | Damiano, Cecilia Onder, Graziano Zazzara, Maria Beatrice Carfì, Angelo Zucchelli, Alberto Marengoni, Alessandra Vetrano, Davide L. |
author_sort | Damiano, Cecilia |
collection | PubMed |
description | BACKGROUND: Little is known on how frailty influences clinical outcomes in persons with specific multimorbidity patterns. AIMS: To investigate the interplay between multimorbidity and frailty in the association with mortality in older individuals living in nursing homes (NH). METHODS: We considered 4,131 NH residents aged 60 years and over, assessed through the interRAI LTCF instrument between 2014 and 2018. Follow-up was until 2019. Considering four multimorbidity patterns identified via principal component analysis, subjects were stratified in tertiles (T) with respect to their loading values. Frailty Index (FI) considered 23 variables and a cut-off of 0.24 distinguished between high and low frailty levels. For each pattern, all possible combinations of tertiles and FI were evaluated. Their association (Hazard Ratio [HR] and 95% confidence interval) with mortality was tested in Cox regression models. RESULTS: In the heart diseases and dementia and sensory impairments patterns, the hazard of death increases progressively with patterns expression and frailty severity (being HR T3 vs. T1 = 2.36 [2.01–2.78]; HR T3 vs. T1 = 2.12 [1.83–2.47], respectively). In heart, respiratory and psychiatric diseases and diabetes, musculoskeletal and vascular diseases patterns, frailty seems to have a stronger impact on mortality than patterns’ expression. DISCUSSION: Frailty increases mortality risk in all the patterns and provides additional prognostic information in NH residents with different multimorbidity patterns. CONCLUSIONS: These findings support the need to routinely assess frailty. Older people affected by specific groups of chronic diseases need a specific care approach and have high risk of negative health outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40520-022-02269-8. |
format | Online Article Text |
id | pubmed-9562060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95620602022-10-14 Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy Damiano, Cecilia Onder, Graziano Zazzara, Maria Beatrice Carfì, Angelo Zucchelli, Alberto Marengoni, Alessandra Vetrano, Davide L. Aging Clin Exp Res Original Article BACKGROUND: Little is known on how frailty influences clinical outcomes in persons with specific multimorbidity patterns. AIMS: To investigate the interplay between multimorbidity and frailty in the association with mortality in older individuals living in nursing homes (NH). METHODS: We considered 4,131 NH residents aged 60 years and over, assessed through the interRAI LTCF instrument between 2014 and 2018. Follow-up was until 2019. Considering four multimorbidity patterns identified via principal component analysis, subjects were stratified in tertiles (T) with respect to their loading values. Frailty Index (FI) considered 23 variables and a cut-off of 0.24 distinguished between high and low frailty levels. For each pattern, all possible combinations of tertiles and FI were evaluated. Their association (Hazard Ratio [HR] and 95% confidence interval) with mortality was tested in Cox regression models. RESULTS: In the heart diseases and dementia and sensory impairments patterns, the hazard of death increases progressively with patterns expression and frailty severity (being HR T3 vs. T1 = 2.36 [2.01–2.78]; HR T3 vs. T1 = 2.12 [1.83–2.47], respectively). In heart, respiratory and psychiatric diseases and diabetes, musculoskeletal and vascular diseases patterns, frailty seems to have a stronger impact on mortality than patterns’ expression. DISCUSSION: Frailty increases mortality risk in all the patterns and provides additional prognostic information in NH residents with different multimorbidity patterns. CONCLUSIONS: These findings support the need to routinely assess frailty. Older people affected by specific groups of chronic diseases need a specific care approach and have high risk of negative health outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40520-022-02269-8. Springer International Publishing 2022-10-14 2022 /pmc/articles/PMC9562060/ /pubmed/36239853 http://dx.doi.org/10.1007/s40520-022-02269-8 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Damiano, Cecilia Onder, Graziano Zazzara, Maria Beatrice Carfì, Angelo Zucchelli, Alberto Marengoni, Alessandra Vetrano, Davide L. Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy |
title | Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy |
title_full | Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy |
title_fullStr | Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy |
title_full_unstemmed | Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy |
title_short | Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy |
title_sort | frailty, multimorbidity patterns and mortality in institutionalized older adults in italy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562060/ https://www.ncbi.nlm.nih.gov/pubmed/36239853 http://dx.doi.org/10.1007/s40520-022-02269-8 |
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