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10.1007/s10072-020-04541-z http://scihub22266oqcxt.onion/10.1007/s10072-020-04541-z 32643133!7342552!32643133     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Neurol+Sci 2020 ; 41 (9): 2317-2324 Nephropedia Template TP {{tp|p=32643133|t=2020. Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study |pdf=|usr=}}{{32643133}} gab.com Text Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study JO: Neurol Sci http://www.kidney.de/pget.php?&tw=1&pmid=32643133 #FOAvip 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. Twit Text FOAVip Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study ????Neurol Sci http://www.kidney.de/pget.php?&tw=1&pmid=32643133 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32643133 #FOAvip English Wikipedia <ref>{{Cite pmid|32643133}}</ref> Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study #MMPMID32643133 Hwang JM; Kim JH; Park JS; Chang MC; Park D Neurol Sci 2020[Sep]; 41 (9): 2317-2324 PMID32643133show ga 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. |*Betacoronavirus[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19[MESH] |Cohort Studies[MESH] |Coronavirus Infections/*diagnosis/*mortality[MESH] |Female[MESH] |Humans[MESH] |Lung Diseases/diagnosis/mortality[MESH] |Male[MESH] |Middle Aged[MESH] |Mortality/trends[MESH] |Nervous System Diseases/*diagnosis/*mortality[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/*mortality[MESH] |Predictive Value of Tests[MESH] |Republic of Korea/epidemiology[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH]Neurological diseases as mortality predictive factors for patients wit(epmc).pdf DeepDyve Pubget Overpricing