新型冠状病毒感染者病程及影响因素分析
Analysis of disease course among COVID-19 patients and the influencing factors
聂玲 1孙瑛 2马春娜 2张姣姣 2马佳鑫 2王全意 2张代涛2
作者信息
- 1. 北京市疾病预防控制中心科研教学管理办公室 100013
- 2. 北京市疾病预防控制中心传染病地方病控制所 100013
- 折叠
摘要
目的 分析新型冠状病毒感染者病程及影响因素,为新型冠状病毒感染(简称"新冠")的防治提供科学依据.方法 收集2023年5月9日至6月25日期间北京市社区人群新冠感染者的年龄、性别、基础性疾病患病情况、新冠疫苗接种情况、既往感染情况及本次新冠感染的相关信息,采用分位数回归分析以上因素对感染者病程的影响.结果 本次调查的787例新冠感染者的病程为4.0(IQR 2.0～7.0)d.单因素分析结果显示,性别(x2=4.788,P=0.029)、年龄(x2=6.118,P=0.047)、是否既往感染(x2=17.364,P＜0.01)为病程的可能影响因素.分位数回归结果显示,相对于男性,女性病程延长1 d(t=2.78,P=0.006);相对于首次感染者,既往感染者病程缩短1.5 d(t=-4.21,P＜0.001).结论 新冠首次感染者感染后病程较既往感染者长,应引起足够重视.
Abstract
Objective To analyze the course of coronavirus disease 2019(COVID-19)among the patients and analyze the influencing factors,so as to provide scientific proof for the prevention and treatment of COVID-19.Methods From May 9 to June 25 2023,the information of the COVID-19 patients in communities of Beijing,including age,gender,incidence of underlying diseases,COVID-19 vaccination,previous infections and relevant information of the current COVID-19 were collected.Quantile regression analysis was used to analyze the impact of the above factors on the course of COVID-19.Results The disease courses among 787 COVID-19 patients investigated in the study were 4.0 d(IQR 2.0-7.0).Univariate analysis showed that gender(x2=4.788,P=0.029),age(x2=6.118,P=0.047)and previous infection(x2=17.364,P＜0.01)were the influencing factors of the disease course.Quantile regression showed that the disease course in women was 1 day longer than that in men(t=2.78,P=0.006).The disease course among patients with previous infection was 1.5 d shorter than the primarily infected patients(t=-4.21,P＜0.01).Conclusions The course of COVID-19 among primarily infected patients was longer than that of patients with previous infections and should be paid sufficient attention.
关键词
新型冠状病毒感染/病程/影响因素Key words
Coronavirus disease 2019/Course of disease/Influencing factors引用本文复制引用
基金项目
国家重点研发计划(2023YFC0872400)
北京市科技计划项目(Z221100007922020)
北京市科技计划项目(Z231100004823002)
出版年
2024
NETL
NSTL
万方数据