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Laboratory Testing Implications of Risk-Stratification and Management for Improving Clinical Outcomes of COVID-19 Patients
Caidong Liu; Ziyu Wang; Jie Li; Changgang Xiang; Lingxiang Wu; Wei Wu; Weiye Hou; Huiling Sun; Youli Wang; Zhenling Nie; Yingdong Gao; Ruisheng Zhang; Xinyi Xia; qianghu wang; Shukui Wang.
Afiliação
  • Caidong Liu; Department of laboratory medicine, Nanjing First Hospital, Nanjing Medical University
  • Ziyu Wang; Department of Bioinformatics, Nanjing Medical University
  • Jie Li; Department of Bioinformatics, Nanjing Medical University
  • Changgang Xiang; Department of laboratory medicine, First People's Hospital of Jiangxia District of Wuhan
  • Lingxiang Wu; Department of Bioinformatics, Nanjing Medical University
  • Wei Wu; Department of Bioinformatics, Nanjing Medical University
  • Weiye Hou; Department of laboratory medicine, Nanjing First Hospital, Nanjing Medical University
  • Huiling Sun; General clinical research center, Nanjing First Hospital, Nanjing Medical University
  • Youli Wang; Department of laboratory medicine, Nanjing First Hospital, Nanjing Medical University
  • Zhenling Nie; Department of laboratory medicine, Nanjing First Hospital, Nanjing Medical University
  • Yingdong Gao; Department of laboratory medicine, Nanjing First Hospital, Nanjing Medical University
  • Ruisheng Zhang; Department of laboratory medicine, Nanjing First Hospital, Nanjing Medical University
  • Xinyi Xia; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine
  • qianghu wang; Nanjing medical university
  • Shukui Wang; Department of laboratory medicine, Nanjing First Hospital, Nanjing Medical University
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20129098
ABSTRACT
The high mortality rate of COVID-19 patients is mainly caused by the progression from mild to critical illness. To identify the key laboratory indicators and stratify high-risk COVID-19 patients with progression to severe/critical illness, we compared 474 moderate patients and 74 severe/critical patients. The laboratory indicators, including lactate dehydrogenase (LDH), monocytes percentage, etc. were significantly higher in the severe/critical patients (P <0.001) and showed a noticeable change at about a week before the diagnosis. Based on these indicators, we constructed a risk-stratification model, which can accurately grade the severity of patients with COVID-19 (accuracy = 0.96, 95% CI 0.94 - 0.989, sensitivity = 0.98, specificity = 0.84). Also, compared with non-COVID-19 viral pneumonia, we found that COVID-19 had weaker dysfunction to the heart, liver, and kidney. The prognostic model based on laboratory indicators could help to diagnose, monitor, and predict severity at an early stage to those patients with COVID-19.
Licença
cc_no
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint