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3044 Cases reveal important prognosis signatures of COVID-19 patients.
Qin, Shijie; Li, Weiwei; Shi, Xuejia; Wu, Yanjun; Wang, Canbiao; Shen, Jiawei; Pang, Rongrong; He, Bangshun; Zhao, Jun; Qiao, Qinghua; Luo, Tao; Guo, Yanju; Yang, Yang; Han, Ying; Wu, Qiuyue; Wu, Jian; Dai, Wei; Zhang, Libo; Chen, Liming; Xue, Chunyan; Jin, Ping; Gan, Zhenhua; Ma, Fei; Xia, Xinyi.
  • Qin S; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Li W; Laboratory for Comparative Genomics and Bioinformatics, College of Life Science, Nanjing Normal University, Nanjing 210046, China.
  • Shi X; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Wu Y; Laboratory for Comparative Genomics and Bioinformatics, College of Life Science, Nanjing Normal University, Nanjing 210046, China.
  • Wang C; Department of Information, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
  • Shen J; Joint Expert Group for COVID-19, Department of Laboratory Medicine & Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan, Hubei 430100, China.
  • Pang R; Laboratory for Comparative Genomics and Bioinformatics, College of Life Science, Nanjing Normal University, Nanjing 210046, China.
  • He B; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Zhao J; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Qiao Q; Department of Laboratory Medicine, Nanjing Red Cross Blood Center, Nanjing 210003, Jiangsu, China.
  • Luo T; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Guo Y; General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Yang Y; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Han Y; Medical and Technical Support Department, Pingdingshan Medical District, the 989th Hospital, Pingdingshan, Henan 467000, China.
  • Wu Q; Joint Expert Group for COVID-19, Department of Laboratory Medicine & Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan, Hubei 430100, China.
  • Wu J; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Dai W; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Zhang L; Laboratory for Comparative Genomics and Bioinformatics, College of Life Science, Nanjing Normal University, Nanjing 210046, China.
  • Chen L; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Xue C; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Jin P; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Gan Z; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Ma F; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
  • Xia X; COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing Clinical College of Southern Medical University, Nanjing, Jiangsu 210002, China.
Comput Struct Biotechnol J ; 19: 1163-1175, 2021.
Article in English | MEDLINE | ID: covidwho-2277232
ABSTRACT
Critical patients and intensive care unit (ICU) patients are the main population of COVID-19 deaths. Therefore, establishing a reliable method is necessary for COVID-19 patients to distinguish patients who may have critical symptoms from other patients. In this retrospective study, we firstly evaluated the effects of 54 laboratory indicators on critical illness and death in 3044 COVID-19 patients from the Huoshenshan hospital in Wuhan, China. Secondly, we identify the eight most important prognostic indicators (neutrophil percentage, procalcitonin, neutrophil absolute value, C-reactive protein, albumin, interleukin-6, lymphocyte absolute value and myoglobin) by using the random forest algorithm, and find that dynamic changes of the eight prognostic indicators present significantly distinct within differently clinical severities. Thirdly, our study reveals that a model containing age and these eight prognostic indicators can accurately predict which patients may develop serious illness or death. Fourthly, our results demonstrate that different genders have different critical illness rates compared with different ages, in particular the mortality is more likely to be attributed to some key genes (e.g. ACE2, TMPRSS2 and FURIN) by combining the analysis of public lung single cells and bulk transcriptome data. Taken together, we urge that the prognostic model and first-hand clinical trial data generated in this study have important clinical practical significance for predicting and exploring the disease progression of COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Comput Struct Biotechnol J Year: 2021 Document Type: Article Affiliation country: J.csbj.2021.01.042

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Comput Struct Biotechnol J Year: 2021 Document Type: Article Affiliation country: J.csbj.2021.01.042