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Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study

BACKGROUND: COVID-19 has disproportionately affected older adults. Yet, healthcare trajectories experienced by older persons hospitalized for COVID-19 have not been investigated. This study aimed at estimating the probabilities of transitions between severity states in older adults admitted in COVID...

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Autores principales: Trevisan, Caterina, Tonarelli, Francesco, Zucchelli, Alberto, Parrotta, Ilaria, Calvani, Riccardo, Malara, Alba, Monzani, Fabio, Gareri, Pietro, Zia, Gianluca, Antonelli Incalzi, Raffaele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733961/
https://www.ncbi.nlm.nih.gov/pubmed/36549026
http://dx.doi.org/10.1016/j.rmed.2022.107088
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author Trevisan, Caterina
Tonarelli, Francesco
Zucchelli, Alberto
Parrotta, Ilaria
Calvani, Riccardo
Malara, Alba
Monzani, Fabio
Gareri, Pietro
Zia, Gianluca
Antonelli Incalzi, Raffaele
author_facet Trevisan, Caterina
Tonarelli, Francesco
Zucchelli, Alberto
Parrotta, Ilaria
Calvani, Riccardo
Malara, Alba
Monzani, Fabio
Gareri, Pietro
Zia, Gianluca
Antonelli Incalzi, Raffaele
author_sort Trevisan, Caterina
collection PubMed
description BACKGROUND: COVID-19 has disproportionately affected older adults. Yet, healthcare trajectories experienced by older persons hospitalized for COVID-19 have not been investigated. This study aimed at estimating the probabilities of transitions between severity states in older adults admitted in COVID-19 acute wards and at identifying the factors associated with such dynamics. METHODS: COVID-19 patients aged ≥60 years hospitalized between March and December 2020 were involved in the multicentre GeroCovid project–acute wards substudy. Sociodemographic and health data were obtained from medical records. Clinical states during hospitalization were categorized on a seven-category scale, ranging from hospital discharge to death. Based on the transitions between these states, first, we defined patients’ clinical course as positive (only improvements), negative (only worsening), or fluctuating (both improvements and worsening). Second, we focused on the single transitions between clinical states and estimated their probability (through multistage Markov modeling) and associated factors (with proportional intensity models). RESULTS: Of the 1024 included patients (mean age 78.1 years, 51.1% women), 637 (62.2%) had a positive, 66 (6.4%) had a fluctuating, and 321 (31.3%) had a negative clinical course. Patients with a fluctuating clinical course were younger, had better mobility and cognitive levels, fewer diseases, but a higher prevalence of cardiovascular disease and obesity. Considering the single transitions, the probability that older COVID-19 patients experienced clinical changes was higher within a 10-day timeframe, especially for milder clinical states. Older age, male sex, lower mobility level, multimorbidity, and hospitalization during the COVID-19 first wave (compared with the second one) were associated with an increased probability of progressing towards worse clinical states or with a lower recovery. CONCLUSION: COVID-19 in older inpatients has a complex and dynamic clinical course. Identifying individuals more likely to experience a fluctuating clinical course and sudden worsening may help organize healthcare resources and clinical management across settings at different care intensity levels.
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spelling pubmed-97339612022-12-12 Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study Trevisan, Caterina Tonarelli, Francesco Zucchelli, Alberto Parrotta, Ilaria Calvani, Riccardo Malara, Alba Monzani, Fabio Gareri, Pietro Zia, Gianluca Antonelli Incalzi, Raffaele Respir Med Original Research BACKGROUND: COVID-19 has disproportionately affected older adults. Yet, healthcare trajectories experienced by older persons hospitalized for COVID-19 have not been investigated. This study aimed at estimating the probabilities of transitions between severity states in older adults admitted in COVID-19 acute wards and at identifying the factors associated with such dynamics. METHODS: COVID-19 patients aged ≥60 years hospitalized between March and December 2020 were involved in the multicentre GeroCovid project–acute wards substudy. Sociodemographic and health data were obtained from medical records. Clinical states during hospitalization were categorized on a seven-category scale, ranging from hospital discharge to death. Based on the transitions between these states, first, we defined patients’ clinical course as positive (only improvements), negative (only worsening), or fluctuating (both improvements and worsening). Second, we focused on the single transitions between clinical states and estimated their probability (through multistage Markov modeling) and associated factors (with proportional intensity models). RESULTS: Of the 1024 included patients (mean age 78.1 years, 51.1% women), 637 (62.2%) had a positive, 66 (6.4%) had a fluctuating, and 321 (31.3%) had a negative clinical course. Patients with a fluctuating clinical course were younger, had better mobility and cognitive levels, fewer diseases, but a higher prevalence of cardiovascular disease and obesity. Considering the single transitions, the probability that older COVID-19 patients experienced clinical changes was higher within a 10-day timeframe, especially for milder clinical states. Older age, male sex, lower mobility level, multimorbidity, and hospitalization during the COVID-19 first wave (compared with the second one) were associated with an increased probability of progressing towards worse clinical states or with a lower recovery. CONCLUSION: COVID-19 in older inpatients has a complex and dynamic clinical course. Identifying individuals more likely to experience a fluctuating clinical course and sudden worsening may help organize healthcare resources and clinical management across settings at different care intensity levels. Elsevier Ltd. 2023-01 2022-12-10 /pmc/articles/PMC9733961/ /pubmed/36549026 http://dx.doi.org/10.1016/j.rmed.2022.107088 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Research
Trevisan, Caterina
Tonarelli, Francesco
Zucchelli, Alberto
Parrotta, Ilaria
Calvani, Riccardo
Malara, Alba
Monzani, Fabio
Gareri, Pietro
Zia, Gianluca
Antonelli Incalzi, Raffaele
Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study
title Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study
title_full Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study
title_fullStr Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study
title_full_unstemmed Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study
title_short Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study
title_sort health trajectories in older patients hospitalized for covid-19: results from the gerocovid multicenter study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733961/
https://www.ncbi.nlm.nih.gov/pubmed/36549026
http://dx.doi.org/10.1016/j.rmed.2022.107088
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