BACKGROUND: The pandemic situation created an overwhelmed needs for ICU facilities, according to this problem, the need of accurate management of facilities represents boldness. In this study, prognostic risk factors for ICU admission among COVID-19 hospitalized patients were evaluated. METHODS: From 22 February to April 20, 2020. A total of 214 COVID-19 patients participated in this study. The included patients were between 18- 80 years old, and the patients who previously admitted for COVID-19 were excluded. The comorbid medical conditions, admission laboratory, demographic data, and first manifestations were analyzed between two groups, including ICU and non-ICU admitted patients. The statistical analysis, univariate and multivariate analysis were afforded. The value of the predictors in the risk assessment of ICU admission was estimated. RESULTS: 55(25.7%) patients were admitted in ICU. The ICU admitted patient's mortality rate was about 68%. The age was significantly higher among ICU admission group (P=0.03). Admission O2 saturation was significantly lower among ICU admitted patients (P=0.00). The kidney disease and malignancy history were more frequent in ICU-admitted patients (P=0.04, P=0.00). Myalgia was the clinical manifestation that significantly presented more frequent in ICU-admitted patients. INR, CRP, ESR, HB, and lymphocyte were significantly different between two groups. After multivariable analysis, admission O2 saturation, hematocrit, CRP and myalgia could significantly predict the risk of ICU admission. Furthermore, the value of predictors was estimated in our study. CONCLUSION: Based on our results, the admission O2 saturation, HCT, CRP levels at first admission and myalgia presentation could be considered as the valuable predictors of ICU admission.
BACKGROUND: The pandemic situation created an overwhelmed needs for ICU facilities, according to this problem, the need of accurate management of facilities represents boldness. In this study, prognostic risk factors for ICU admission among COVID-19 hospitalized patients were evaluated. METHODS: From 22 February to April 20, 2020. A total of 214 COVID-19 patients participated in this study. The included patients were between 18- 80 years old, and the patients who previously admitted for COVID-19 were excluded. The comorbid medical conditions, admission laboratory, demographic data, and first manifestations were analyzed between two groups, including ICU and non-ICU admitted patients. The statistical analysis, univariate and multivariate analysis were afforded. The value of the predictors in the risk assessment of ICU admission was estimated. RESULTS: 55(25.7%) patients were admitted in ICU. The ICU admitted patient's mortality rate was about 68%. The age was significantly higher among ICU admission group (P=0.03). Admission O2 saturation was significantly lower among ICU admitted patients (P=0.00). The kidney disease and malignancy history were more frequent in ICU-admitted patients (P=0.04, P=0.00). Myalgia was the clinical manifestation that significantly presented more frequent in ICU-admitted patients. INR, CRP, ESR, HB, and lymphocyte were significantly different between two groups. After multivariable analysis, admission O2 saturation, hematocrit, CRP and myalgia could significantly predict the risk of ICU admission. Furthermore, the value of predictors was estimated in our study. CONCLUSION: Based on our results, the admission O2 saturation, HCT, CRP levels at first admission and myalgia presentation could be considered as the valuable predictors of ICU admission.
Authors: Saurabh Aggarwal; Nelson Garcia-Telles; Gaurav Aggarwal; Carl Lavie; Giuseppe Lippi; Brandon Michael Henry Journal: Diagnosis (Berl) Date: 2020-05-26
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Authors: Seyed M Moghadas; Affan Shoukat; Meagan C Fitzpatrick; Chad R Wells; Pratha Sah; Abhishek Pandey; Jeffrey D Sachs; Zheng Wang; Lauren A Meyers; Burton H Singer; Alison P Galvani Journal: Proc Natl Acad Sci U S A Date: 2020-04-03 Impact factor: 11.205
Authors: Sławomir Butkiewicz; Artur Zaczyński; Michał Hampel; Igor Pańkowski; Robert Gałązkowski; Patryk Rzońca Journal: Int J Environ Res Public Health Date: 2022-03-25 Impact factor: 3.390