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基于复旦大学-中国疾病预防控制中心数学模型对新型冠状病毒肺炎确诊病例数的预测及其流行病学、临床表现、防治效果

Prediction on the number of confirmed Covid-19 with the FUDAN-CCDC mathematical model and its epidemiology, clinical manifestations, and prevention and treatment effects.

作者信息

Xiao Shimeng, Cheng Guoping, Yang Ruqian, Zhang Yuwei, Lin Yicheng, Ding Yi

机构信息

State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Periodontology, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.

出版信息

Results Phys. 2021 Jan;20:103618. doi: 10.1016/j.rinp.2020.103618. Epub 2020 Nov 25.

Abstract

This study was to explore the development trend and clinical manifestations of COVID-19 better. The number of confirmed novel coronavirus pneumonia (COVID-19) was predicted based on the FUDAN-CCDC mathematical model (which was a new model namely based on the novel time delay dynamic model and the statistical data from Chinese Center for Disease Control (CCDC)). The epidemiology and clinical manifestations of COVID-19 were studied based on its clinical classification, and the prevention and treatment effects of antibacterial drugs on the COVID-19 were explored. Firstly, a FUDAN-CCDC mathematical model was established to predict the number of confirmed COVID-19 patients. Secondly, 500 COVID-19 patients with clear epidemiological history and confirmed by nucleic acid testing who were admitted to our Hospital from February 1, 2020 to May 1, 2020 were taken as research objects in this study. They were divided into 4 categories: mild cases, moderate cases, severe cases, and critical cases based on the standards given by the World Health Organization (WHO). The general data characteristics, epidemiological characteristics, clinical manifestations characteristics, laboratory indicator characteristics, and prevention and treatment effects of patients with COVID-19 were analyzed. The FUDAN-CCDC model predicted that the peak time of cumulative confirmed cases in Wuhan was from February 1 to February 5, the peak of cumulative confirmed cases was around 60,000, and the peak time of newly confirmed cases was from February 8 to February 11. Most of the patients with COVID-19 in critical cases were older, with an average age of 65.31 ± 8.26 years old; it was mainly imported case (94 cases, 18.8%) at the beginning, and was mainly local cases (406 cases, 81.2%) later. The initial symptoms were fever (447 cases, 89.4%) and cough (304 cases, 60.8%), and the patients in severe and critical cases were often accompanied by respiratory failure and other late symptoms. There were differences in laboratory tests, patients in critical cases had increased procalcitonin (PCT) and less lymphocytes (LYM). The treatment of COVID-19 was mainly moxifloxacin tablets or injections and cefoperazone sodium sulbactam sodium for injection, with significant efficacy, but the cure rate of patients in severe and critical cases was low, which was 83.1% and 68.4% respectively. FUDAN-CCDC could be applied for prediction of the COVID-19 trend. COVID-19 patients with different clinical classifications were different in clinical symptoms, laboratory tests and treatment options, and the cure rate of patients in severe and critical cases was low. This article was conductive to improving the prevention and treatment of COVID-19, so as to provide a theoretical reference.

摘要

本研究旨在更好地探索新型冠状病毒肺炎(COVID-19)的发展趋势及临床表现。基于复旦大学-中国疾病预防控制中心(FUDAN-CCDC)数学模型(这是一个基于新型时间延迟动态模型和中国疾病预防控制中心(CCDC)统计数据的新模型)预测新型冠状病毒肺炎(COVID-19)确诊病例数。基于COVID-19的临床分类研究其流行病学及临床表现,并探索抗菌药物对COVID-19的防治效果。首先,建立FUDAN-CCDC数学模型预测COVID-19确诊患者数量。其次,选取2020年2月1日至2020年5月1日期间我院收治的500例有明确流行病学史且经核酸检测确诊的COVID-19患者作为本研究对象。根据世界卫生组织(WHO)给出的标准将其分为4类:轻症、中症、重症和危重症。分析COVID-19患者的一般资料特征、流行病学特征、临床表现特征、实验室指标特征及防治效果。FUDAN-CCDC模型预测武汉累计确诊病例高峰时间为2月1日至2月5日,累计确诊病例峰值约为6万例,新增确诊病例高峰时间为2月8日至2月11日。危重症COVID-19患者大多年龄较大,平均年龄为65.31±8.26岁;初期以输入性病例为主(94例,18.8%),后期以本地病例为主(406例,81.2%)。初始症状为发热(447例,89.4%)和咳嗽(304例,60.8%),重症和危重症患者常伴有呼吸衰竭等后期症状。实验室检查存在差异,危重症患者降钙素原(PCT)升高,淋巴细胞(LYM)减少。COVID-19的治疗主要为莫西沙星片或注射液及注射用头孢哌酮钠舒巴坦钠,疗效显著,但重症和危重症患者治愈率较低,分别为83.1%和68.4%。FUDAN-CCDC可用于预测COVID-19趋势。不同临床分类的COVID-19患者在临床症状、实验室检查及治疗选择方面存在差异,重症和危重症患者治愈率较低。本文有助于提高COVID-19的防治水平,从而提供理论参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fb8/7687494/e30817ae616c/gr1_lrg.jpg

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