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Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study

INTRODUCTION: In the current study, we evaluated factors that increase the coronavirus disease (COVID-19) patient death rate by analyzing the data from two cohort hospitals. In addition, we studied whether underlying neurological diseases are risk factors for death. METHODS: In this retrospective co...

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Autores principales: Hwang, Jong-moon, Kim, Ju-Hyun, Park, Jin-Sung, Chang, Min Cheol, Park, Donghwi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342552/
https://www.ncbi.nlm.nih.gov/pubmed/32643133
http://dx.doi.org/10.1007/s10072-020-04541-z
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author Hwang, Jong-moon
Kim, Ju-Hyun
Park, Jin-Sung
Chang, Min Cheol
Park, Donghwi
author_facet Hwang, Jong-moon
Kim, Ju-Hyun
Park, Jin-Sung
Chang, Min Cheol
Park, Donghwi
author_sort Hwang, Jong-moon
collection PubMed
description INTRODUCTION: In the current study, we evaluated factors that increase the coronavirus disease (COVID-19) patient death rate by analyzing the data from two cohort hospitals. In addition, we studied whether underlying neurological diseases are risk factors for death. METHODS: In this retrospective cohort study, we included 103 adult inpatients (aged ≥ 18 years). We evaluated differences in demographic data between surviving and non-surviving COVID-19 patients. RESULTS: In a multivariate logistic analysis, age and the presence of chronic lung disease and Alzheimer’s dementia (AD) were the only significant parameters for predicting COVID-19 non-survival (p < 0.05). However, hypertension, coronary vascular disease, dyslipidemia, chronic kidney disease, diabetes, and history of taking angiotensin II receptor blockers (ARBs) or angiotensin-converting enzyme (ACE) inhibitors, as well as nonsteroidal anti-inflammatory drugs (NSAIDs), were not significantly associated with the death of COVID-19 patients. The optimal cutoff value obtained from the maximum Youden index was 70 (sensitivity, 80.77%; specificity, 61.04%), and the odds ratio of non-survival increased 1.055 fold for every year of age. CONCLUSIONS: Clinicians should closely monitor and manage the symptoms of COVID-19 patients who are over the age of 70 years or have chronic lung disease or AD.
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spelling pubmed-73425522020-07-09 Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study Hwang, Jong-moon Kim, Ju-Hyun Park, Jin-Sung Chang, Min Cheol Park, Donghwi Neurol Sci Covid-19 INTRODUCTION: In the current study, we evaluated factors that increase the coronavirus disease (COVID-19) patient death rate by analyzing the data from two cohort hospitals. In addition, we studied whether underlying neurological diseases are risk factors for death. METHODS: In this retrospective cohort study, we included 103 adult inpatients (aged ≥ 18 years). We evaluated differences in demographic data between surviving and non-surviving COVID-19 patients. RESULTS: In a multivariate logistic analysis, age and the presence of chronic lung disease and Alzheimer’s dementia (AD) were the only significant parameters for predicting COVID-19 non-survival (p < 0.05). However, hypertension, coronary vascular disease, dyslipidemia, chronic kidney disease, diabetes, and history of taking angiotensin II receptor blockers (ARBs) or angiotensin-converting enzyme (ACE) inhibitors, as well as nonsteroidal anti-inflammatory drugs (NSAIDs), were not significantly associated with the death of COVID-19 patients. The optimal cutoff value obtained from the maximum Youden index was 70 (sensitivity, 80.77%; specificity, 61.04%), and the odds ratio of non-survival increased 1.055 fold for every year of age. CONCLUSIONS: Clinicians should closely monitor and manage the symptoms of COVID-19 patients who are over the age of 70 years or have chronic lung disease or AD. Springer International Publishing 2020-07-08 2020 /pmc/articles/PMC7342552/ /pubmed/32643133 http://dx.doi.org/10.1007/s10072-020-04541-z Text en © Fondazione Società Italiana di Neurologia 2020 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
Hwang, Jong-moon
Kim, Ju-Hyun
Park, Jin-Sung
Chang, Min Cheol
Park, Donghwi
Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study
title Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study
title_full Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study
title_fullStr Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study
title_full_unstemmed Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study
title_short Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study
title_sort neurological diseases as mortality predictive factors for patients with covid-19: a retrospective cohort study
topic Covid-19
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342552/
https://www.ncbi.nlm.nih.gov/pubmed/32643133
http://dx.doi.org/10.1007/s10072-020-04541-z
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