The Prognostic Factors Affecting the Survival of Kurdistan Province COVID-19 Patients: A Cross-sectional Study From February to May 2020

危险系数 比例危险模型 医学 糖尿病 内科学 疾病 肾脏疾病 生存分析 病历 回顾性队列研究 置信区间 内分泌学
作者
Eghbal Zandkarimi,Ghobad Moradi,Behzad Mohsenpour
出处
期刊:International journal of health policy and management [Maad Rayan Publishing Company]
卷期号:11 (4): 453-458 被引量:27
标识
DOI:10.34172/ijhpm.2020.155
摘要

Background: Coronavirus disease 2019 (COVID-19) is a new viral disease and in a short period of time, the world has been affected in various economic, social, and health aspects. This disease has a high rate of transmission and mortality. The aim of this study is to investigate the factors affecting the survival of COVID-19 patients in Kurdistan province. Methods: In this retrospective study, the data including demographic features and the patient’s clinical background in terms of co-morbidities such as diabetes, cancer, chronic lung disease (CLD), coronary heart disease (CHD), chronic kidney disease (CKD) and weak immune system (WIS) were extracted from electronic medical records. We use Cox’s regression proportional hazard (PH) to model. Results: In this study, out of 1831 patients, 1019 were males (55.7%) and 812 were females (44.3%) with an average age of 52.74 ± 22.16 years. For survival analysis, data from people infected with COVID-19 who died or were still being treated were used. According to Cox’s regression analysis, age variables (hazard ratio [HR]: 1.03, CI: 1.02-1.04), patients with a history of diabetes (HR: 2.16, CI: 1.38-3.38), cancer (HR: 3.57, CI: 1.82-7.02), CLD (HR: 2.21, CI: 1.22-4) and CHD (HR: 2.20, CI: 1.57-3.09) were significant and affected the hazard of death in patients with COVID-19 and assuming that the other variables in the model are constant, the hazard of death increases by 3% by increasing one unit (year), and the hazard of death in COVID-19 patients with CHD, diabetes, cancer, CLD is 2.16, 3.57, 2.2 and 2.21, respectively. Conclusion: According to findings, it is necessary to evaluate the prevalence of COVID-19 in patients with CLD, diabetes, cancer, CHD, and elder, as patients with these characteristics may face a greater risk of death. Therefore, we suggest that elders and people with those underlying illnesses need to be under active surveillance and screened frequently.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研通AI6.1应助xxxxxxxxx采纳,获得10
1秒前
量子星尘发布了新的文献求助10
2秒前
C14yd3n发布了新的文献求助10
4秒前
105400155完成签到,获得积分10
4秒前
4秒前
胡1111发布了新的文献求助10
5秒前
5秒前
5秒前
6秒前
7秒前
7秒前
ffddsdc发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
9秒前
柏佳怡完成签到,获得积分10
12秒前
gtpking发布了新的文献求助10
12秒前
13秒前
vivienne发布了新的文献求助10
13秒前
14秒前
orixero应助曹小妍采纳,获得10
14秒前
DYL完成签到,获得积分10
16秒前
17秒前
FashionBoy应助Willow采纳,获得10
18秒前
传奇3应助科研蝗虫采纳,获得10
18秒前
简化为发布了新的文献求助10
18秒前
可爱的函函应助gtpking采纳,获得10
18秒前
SheltonYang发布了新的文献求助10
22秒前
小小麦发布了新的文献求助30
22秒前
xiaolei完成签到 ,获得积分10
23秒前
24秒前
爱吃西瓜发布了新的文献求助10
24秒前
华仔应助dawn采纳,获得10
24秒前
小二郎应助Csardas采纳,获得10
25秒前
25秒前
27秒前
27秒前
量子星尘发布了新的文献求助10
28秒前
ffddsdc完成签到,获得积分10
29秒前
29秒前
烨无殇完成签到,获得积分10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Russian Foreign Policy: Change and Continuity 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5730846
求助须知:如何正确求助?哪些是违规求助? 5326003
关于积分的说明 15319863
捐赠科研通 4877109
什么是DOI,文献DOI怎么找? 2620078
邀请新用户注册赠送积分活动 1569362
关于科研通互助平台的介绍 1525898