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1.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-311597

ABSTRACT

Aims: : To identify the risk factors of mortality for coronavirus disease 19 (COVID-19) patients admitted to intensive care units (ICU), we conducted a retrospective analysis. Methods: : The demographic characteristics, laboratory findings and chest X-ray data of COVID-19 patients admitted to ICU of Huoshenshan Hospital from February 10 to April 10, 2020 were retrospectively analyzed. Student's t test and chi-square test were used to compare continuous variables, categorical variables respectively. Logistic regression model was used to seek risk factors of mortality. Results: : A total of 57 patients (38 males and 19 females) were included in this retrospective study, including 20 patients in deceased group and 37 patients in surviving group. Leukocyte count, neutrophil count, lymphocyte count, eosinophil count, neutrophil-to-lymphocyte ratio (NLR), urea nitrogen, lactate dehydrogenase (LDH), interleukin-6 (IL-6), C-reactive protein (CRP), arterial partial pressure of oxygen/oxygen concentration (PaO2/FiO2) and imaging findings were statistically different between the two groups. The multivariate logistic regression analysis identified IL-6 and PaO2/FiO2 as independent risk factors of mortality. The area of under curves (AUC) of IL-6 and PaO2/FiO2 were 0.9 (95%CI:0.823-0.977, p<0.0001) and 0.865 (95%CI:0.774-0.956, p<0.0001) respectively. The cut-off value of IL-6 was 25.69 pg/mL, the sensitivity was 95% and the specificity was 75.7%, while the cut-off value of PaO2/FiO2 was 167.79 mmHg, the sensitivity was 75.7% and the specificity was 85%. Conclusion: Clinicians should pay enough attention to IL-6 and PaO2/FiO2, especially when IL-6>25.69 pg/ml and PaO2/FiO2<167.79 mmHg, and take active intervention measures as early as possible.

2.
Sci Rep ; 11(1): 7334, 2021 04 01.
Article in English | MEDLINE | ID: covidwho-1500696

ABSTRACT

To identify the risk factors of mortality for the coronavirus disease 19 (COVID-19) patients admitted to intensive care units (ICUs) through a retrospective analysis. The demographic, clinical, laboratory, and chest imaging data of patients admitted to the ICU of Huoshenshan Hospital from February 10 to April 10, 2020 were retrospectively analyzed. Student's t-test and Chi-square test were used to compare the continuous and categorical variables, respectively. The logistic regression model was employed to ascertain the risk factors of mortality. This retrospective study involved 123 patients, including 64 dead and 59 survivors. Among them, 57 people were tested for interleukin-6 (IL-6) (20 died and 37 survived). In all included patients, the oxygenation index (PaO2/FiO2) was identified as an independent risk factor (odd ratio [OR] = 0.96, 95% confidence interval [CI]: 0.928-0.994, p = 0.021). The area under the curve (AUC) was 0.895 (95% CI: 0.826-0.943, p < 0.0001). Among the patients tested for IL-6, the PaO2/FiO2 (OR = 0.955, 95%CI: 0.915-0.996, p = 0.032) and IL-6 (OR = 1.013, 95%CI: 1.001-1.025, p = 0.028) were identified as independent risk factors. The AUC was 0.9 (95% CI: 0.791-0.964, p < 0.0001) for IL-6 and 0.865 (95% CI: 0.748-0.941, p < 0.0001) for PaO2/FiO2. PaO2/FiO2 and IL-6 could potentially serve as independent risk factors for predicting death in COVID-19 patients requiring intensive care.


Subject(s)
COVID-19/mortality , Interleukin-6/analysis , Aged , Area Under Curve , COVID-19/pathology , COVID-19/virology , Comorbidity , Female , Humans , Intensive Care Units , Logistic Models , Male , Middle Aged , Oxygen Consumption , ROC Curve , Retrospective Studies , Risk Factors , SARS-CoV-2/isolation & purification
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