Preliminary study to identify severe from moderate cases of COVID-19 using combined hematology parameters
| Autor: | Guanzhen Wang, Weiyang Fu, Tao Li, Liyao Gou, Zhongxiao Fu, Chengbin Li, Changzheng Wang, Rongrong Deng, Jianping Xiao, Xiao Ding, Feng Shao, Xiaomei Zhang, Xiulin Xiao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Hematology Receiver operating characteristic medicine.diagnostic_test business.industry Area under the curve General Medicine Hematocrit medicine.disease_cause Gastroenterology 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure 030220 oncology & carcinogenesis Internal medicine White blood cell Absolute neutrophil count Medicine Cutoff Original Article 030212 general & internal medicine business Coronavirus |
| Zdroj: | Ann Transl Med |
| ISSN: | 2305-5847 2305-5839 |
| DOI: | 10.21037/atm-20-3391 |
| Popis: | BACKGROUND: The third fatal coronavirus is the novel coronavirus (SARS-CoV-2) that causes novel coronavirus pneumonia (COVID-19) which first broke out in December 2019. Patients will develop rapidly if there is no any intervention, so the risk identification of severe patients is critical. The aim of this study was to investigate the characteristics and rules of hematology changes in patients with COVID-19, and to explore the possibility differentiating moderate and severe patients using conventional hematology parameters or combined parameters. METHODS: The clinical data of 45 moderate and severe type patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in Jingzhou Central Hospital from January 23 to February 13, 2020 were collected. The epidemiological indexes, clinical symptoms, and laboratory test results of the patients were retrospectively analyzed. Those parameters with significant differences between moderate and severe cases were analyzed, and the combination parameters with the best diagnostic performance were selected using the linear discriminant analysis (LDA) method. RESULTS: Of the 45 patients with the novel 2019 corona virus (COVID-19) (35 moderate and 10 severe cases), 23 were male and 22 were female, with ages ranging from 16 to 62 years. The most common clinical symptoms were fever (89%) and dry cough (60%). As the disease progressed, white blood cell count (WBC), neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), red blood cell distribution width-coefficient of variation (RDW-CV), and red cell volume distribution width-standard deviation (RDW-SD) parameters in the severe group were significantly higher than those in the moderate group (P |
| Databáze: | OpenAIRE |
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