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Predictors of survival in older adults hospitalized with COVID-19.
- Source :
-
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology [Neurol Sci] 2021 Oct; Vol. 42 (10), pp. 3953-3958. Date of Electronic Publication: 2021 Jul 03. - Publication Year :
- 2021
-
Abstract
- 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.<br />Methods: We compared clinical characteristics in an age- and gender-matched sample of 75 deceased and 75 recovered patients (M <subscript>Age</subscript> = 78) hospitalized with COVID-19 and developed a logistic regression to predict likelihood of survival.<br />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).<br />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.<br /> (© 2021. Fondazione Società Italiana di Neurologia.)
Details
- Language :
- English
- ISSN :
- 1590-3478
- Volume :
- 42
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
- Publication Type :
- Academic Journal
- Accession number :
- 34216306
- Full Text :
- https://doi.org/10.1007/s10072-021-05435-4