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Predictors of survival in older adults hospitalized with COVID-19
OBJECTIVE: This study was designed to investigate clinical characteristics associated with mortality and predictors of survival in older adults hospitalized with COVID-19 with a focus on neurological comorbidities and presenting neurological manifestations. METHODS: We compared clinical characterist...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253673/ https://www.ncbi.nlm.nih.gov/pubmed/34216306 http://dx.doi.org/10.1007/s10072-021-05435-4 |
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author | Tyson, Brad Erdodi, Laszlo Shahein, Ayman Kamrun, Sharmin Eckles, Matthew Agarwal, Pinky |
author_facet | Tyson, Brad Erdodi, Laszlo Shahein, Ayman Kamrun, Sharmin Eckles, Matthew Agarwal, Pinky |
author_sort | Tyson, Brad |
collection | PubMed |
description | OBJECTIVE: This study was designed to investigate clinical characteristics associated with mortality and predictors of survival in older adults hospitalized with COVID-19 with a focus on neurological comorbidities and presenting neurological manifestations. METHODS: We compared clinical characteristics in an age- and gender-matched sample of 75 deceased and 75 recovered patients (M(Age) = 78) hospitalized with COVID-19 and developed a logistic regression to predict likelihood of survival. RESULTS: Deceased patients were more like to have dementia, altered mental status (AMS), acute respiratory distress syndrome (ARDS), sepsis, mechanical ventilation, and balance difficulties; higher heart rate, respiratory rate, blood urea nitrogen, creatinine, and absolute neutrophils; lower oxygen saturation and absolute lymphocytes; and shorter length of hospitalization. Logistic regression based on three mortality predictors (ARDS, AMS, and length of hospitalization) correctly predicted 87% of the outcome (89% sensitivity at 85% specificity). CONCLUSIONS: Dementia and AMS were strong predictors of death in older adults hospitalized with COVID-19. Our findings add to the rapidly growing neurology of COVID-19 literature and underscore the importance of early recognition and the incorporation of a mental status examination into the medical assessment of COVID-19. |
format | Online Article Text |
id | pubmed-8253673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82536732021-07-06 Predictors of survival in older adults hospitalized with COVID-19 Tyson, Brad Erdodi, Laszlo Shahein, Ayman Kamrun, Sharmin Eckles, Matthew Agarwal, Pinky Neurol Sci Covid-19 OBJECTIVE: This study was designed to investigate clinical characteristics associated with mortality and predictors of survival in older adults hospitalized with COVID-19 with a focus on neurological comorbidities and presenting neurological manifestations. METHODS: We compared clinical characteristics in an age- and gender-matched sample of 75 deceased and 75 recovered patients (M(Age) = 78) hospitalized with COVID-19 and developed a logistic regression to predict likelihood of survival. RESULTS: Deceased patients were more like to have dementia, altered mental status (AMS), acute respiratory distress syndrome (ARDS), sepsis, mechanical ventilation, and balance difficulties; higher heart rate, respiratory rate, blood urea nitrogen, creatinine, and absolute neutrophils; lower oxygen saturation and absolute lymphocytes; and shorter length of hospitalization. Logistic regression based on three mortality predictors (ARDS, AMS, and length of hospitalization) correctly predicted 87% of the outcome (89% sensitivity at 85% specificity). CONCLUSIONS: Dementia and AMS were strong predictors of death in older adults hospitalized with COVID-19. Our findings add to the rapidly growing neurology of COVID-19 literature and underscore the importance of early recognition and the incorporation of a mental status examination into the medical assessment of COVID-19. Springer International Publishing 2021-07-03 2021 /pmc/articles/PMC8253673/ /pubmed/34216306 http://dx.doi.org/10.1007/s10072-021-05435-4 Text en © Fondazione Società Italiana di Neurologia 2021 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 | Covid-19 Tyson, Brad Erdodi, Laszlo Shahein, Ayman Kamrun, Sharmin Eckles, Matthew Agarwal, Pinky Predictors of survival in older adults hospitalized with COVID-19 |
title | Predictors of survival in older adults hospitalized with COVID-19 |
title_full | Predictors of survival in older adults hospitalized with COVID-19 |
title_fullStr | Predictors of survival in older adults hospitalized with COVID-19 |
title_full_unstemmed | Predictors of survival in older adults hospitalized with COVID-19 |
title_short | Predictors of survival in older adults hospitalized with COVID-19 |
title_sort | predictors of survival in older adults hospitalized with covid-19 |
topic | Covid-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253673/ https://www.ncbi.nlm.nih.gov/pubmed/34216306 http://dx.doi.org/10.1007/s10072-021-05435-4 |
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