A Retrospective and Multicenter Study on COVID-19 in Inner Mongolia: Evaluating the Influence of Sampling Locations on Nucleic Acid Test and the Dynamics of Clinical and Prognostic Indexes

Frontiers in Medicine

article

Lan Yu¹  Ailan Wang³  Tianbao Li³  Wen Jin¹  Geng Tian³  Chunmei Yun⁵  Fei Gao⁶  Xiuzhen Fan⁷  Huimin Wang⁸  Huajun Zhang⁹  Dejun Sun⁵ 

[1] Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Diseases, Clinical Medical Research Center, Inner Mongolia People’s Hospital;Endocrinology Department, Inner Mongolia People’s Hospital;Geneis ,(Beijing) Co., Ltd.;Qingdao Geneis Institute of Big Data Mining and Precision Medicine;Key Laboratory of National Health Commission for the Diagnosis and Treatment of COPD, Department of Pulmonary and Critical Care Medicine, Inner Mongolia People’s Hospital;Department of Pulmonary and Critical Care Medicine, The Fourth Hospital of Inner Mongolia;Department of Pulmonary and Critical Care Medicine, Xilin Gol League Central Hospital;Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology;Department of Mathematics, Shaoxing University

关键词: COVID-19;    clinical characteristics;    prognosis model;    feces testing;    machine learning;   

DOI  :  10.3389/fmed.2022.830484

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

COVID-19 is spreading widely, and the pandemic is seriously threatening public health throughout the world. A comprehensive study on the optimal sampling types and timing for an efficient SARS-CoV-2 test has not been reported. We collected clinical information and the values of 55 biochemical indices for 237 COVID-19 patients, with 37 matched non-COVID-19 pneumonia patients and 131 healthy people in Inner Mongolia as control. In addition, the results of dynamic detection of SARS-CoV-2 using oropharynx swab, pharynx swab, and feces were collected from 197 COVID-19 patients. SARS-CoV-2 RNA positive in feces specimen was present in approximately one-third of COVID-19 patients. The positive detection rate of SARS-CoV-2 RNA in feces was significantly higher than both in the oropharynx and nasopharynx swab ( P < 0.05) in the late period of the disease, which is not the case in the early period of the disease. There were statistically significant differences in the levels of blood LDH, CRP, platelet count, neutrophilic granulocyte count, white blood cell number, and lymphocyte count between COVID-19 and non-COVID-19 pneumonia patients. Finally, we developed and compared five machine-learning models to predict the prognosis of COVID-19 patients based on biochemical indices at disease onset and demographic characteristics. The best model achieved an area under the curve of 0.853 in the 10-fold cross-validation.

【 授权许可】

CC BY