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Risk factors for critical-ill events of patients with COVID-19 in Wuhan, China: a retrospective cohort study
Sen Yang; Le Ma; Yu-Lan Wang; Qian Wang; Qiang Tong; Miao Chen; Hua Zhang; De-Hua Yu; Sheng-Ming Dai; Ran Cui.
Afiliación
  • Sen Yang; Department of General Practice, Yangpu Hospital, Tongji University School of Medicine, Shanghai, 200090, China
  • Le Ma; andyma2015@tongji.edu.cn
  • Yu-Lan Wang; Molecular Diagnostic Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Qian Wang; Department of Rheumatology and Immunology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200333, China
  • Qiang Tong; jasontong1985@163.com
  • Miao Chen; Department of Rheumatology and Immunology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200333, China
  • Hua Zhang; Department of Rheumatology and Immunology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200333, China
  • De-Hua Yu; Department of General Practice, Yangpu Hospital, Tongji University School of Medicine, Shanghai, 200090, China
  • Sheng-Ming Dai; Department of Rheumatology and Immunology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200333, China
  • Ran Cui; Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20130765
ABSTRACT
BackgroundLittle is known about the risk factors for critical-ill events (intensive care, invasive ventilation, or death) in patients with COVID-19. MethodsPatients with laboratory-confirmed COVID-19 admitted to the Wuhan Leishenshan Hospital from February 13 to March 14 was retrospectively analyzed. Demographic data, symptoms, laboratory values at baseline, comorbidities, treatments and clinical outcomes were extracted from electronic medical records and compared between patients with and without critical-ill events. The least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression models were developed to explore the risk factors for critical-ill events. A risk nomogram was established to predict the probability for the critical-ill events. Survival analysis of patients with critical-ill events was performed by the Kaplan-Meier method. Results463 COVID-19 patients were included in this study, of whom 397 were non-critically ill and 66 were critically ill (all from the intensive care unit). The LASSO regression identified four variables (hypersensitive cardiac troponin I, blood urea nitrogen, haemoglobin, and interleukin-6) contributing to the critical-ill events. Multivariable regression showed increasing odds of in-hospital critical-ill events associated with hypersensitive cTnI greater than 0.04 ng/mL (OR 20.98,95% CI 3.51-125.31), blood urea nitrogen greater than 7.6 mmol/L (OR 5.22, 95% CI 1.52-17.81, decreased haemoglobin (OR 1.06, 95% CI 1.04-1.10), and higher interleukin-6 (OR 1.05, 95% CI 1.02-1.08) on admission. ConclusionsHypersensitive cTnI greater than 0.04 ng/mL, blood urea nitrogen greater than 7.6 mmol/L, decreased haemoglobin, and high IL-6 were risk factors of critical-ill events in patients with COVID-19. Main pointHypersensitive cTnI greater than 0.04 ng/mL, BUN greater than 7.6 mmol/L, decreased haemoglobin, and high IL-6 were risk factors of critical-ill events (intensive care, invasive ventilation, or death) in patients with COVID-19.
Licencia
cc_by_nc_nd
Texto completo: 1 Banco de datos: PREPRINT-MEDRXIV Tipo de estudio: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Banco de datos: PREPRINT-MEDRXIV Tipo de estudio: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint