Traditional Chinese Medicine Decoctions Significantly Reduce the Mortality in Severe and Critically Ill Patients with COVID-19: A Retrospective Cohort Study

医学 倾向得分匹配 优势比 逻辑回归 队列 队列研究 回顾性队列研究 内科学
作者
Qin‐Guo Sun,Xuedong An,Ping Xie,Bo Jiang,Jiaxing Tian,Qian Yang,Xiuyang Li,Meng Luo,Ping Liu,Shenghui Zhao,Liyun Duan,Suping Lang,Ailong Fan,Pengfei Luo,Fengmei Lian,Xiaodong Huang,Xiaolin Tong
出处
期刊:The American Journal of Chinese Medicine [World Scientific]
卷期号:49 (05): 1063-1092 被引量:17
标识
DOI:10.1142/s0192415x21500518
摘要

Coronavirus disease (COVID-19) is a new infectious disease associated with high mortality, and traditional Chinese medicine decoctions (TCMDs) have been widely used for the treatment of patients with COVID-19 in China; however, the impact of these decoctions on severe and critical COVID-19-related mortality has not been evaluated. Therefore, we aimed to address this gap. In this retrospective cohort study, we included inpatients diagnosed with severe/critical COVID-19 at the Tongren Hospital of Wuhan University and grouped them depending on the recipience of TCMDs (TCMD and non-TCMD groups). We conducted a propensity score-matched analysis to adjust the imbalanced variables and treatments and used logistic regression methods to explore the risk factors associated with in-hospital death. Among 282 patients with COVID-19 who were discharged or died, 186 patients (66.0%) received TCMD treatment (TCMD cohort) and 96 (34.0%) did not (non-TCMD cohort). After propensity score matching at a 1:1 ratio, 94 TCMD users were matched to 94 non-users, and there were no significant differences in baseline clinical variables between the two groups of patients. The all-cause mortality was significantly lower in the TCMD group than in the non-TCMD group, and this trend remained valid even after matching (21.3% [20/94] vs. 39.4% [37/94]). Multivariable logistic regression model showed that disease severity (odds ratio: 0.010; 95% CI: 0.003, 0.037; [Formula: see text]¡ 0.001) was associated with increased odds of death and that TCMD treatment significantly decreased the odds of in-hospital death (odds ratio: 0.115; 95% CI: 0.035, 0.383; [Formula: see text]¡ 0.001), which was related to the duration of TCMD treatment. Our findings show that TCMD treatment may reduce the mortality in patients with severe/critical COVID-19.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
北风完成签到,获得积分10
2秒前
2秒前
神勇友灵发布了新的文献求助10
2秒前
俭朴以蓝完成签到 ,获得积分10
3秒前
3秒前
6秒前
pluto应助xuleiman采纳,获得10
8秒前
原神关注了科研通微信公众号
8秒前
8秒前
自high锅发布了新的文献求助10
9秒前
潇洒元柏关注了科研通微信公众号
9秒前
bierbia发布了新的文献求助10
9秒前
shardowzx发布了新的文献求助10
10秒前
滴滴完成签到,获得积分10
11秒前
丘比特应助科研通管家采纳,获得10
11秒前
无花果应助科研通管家采纳,获得10
11秒前
cctv18应助科研通管家采纳,获得10
11秒前
orixero应助科研通管家采纳,获得10
11秒前
完美世界应助科研通管家采纳,获得10
11秒前
Orange应助科研通管家采纳,获得30
11秒前
12秒前
阔达的阑悦完成签到,获得积分10
12秒前
12秒前
lcx完成签到,获得积分10
13秒前
three完成签到,获得积分10
13秒前
可爱的函函应助优秀采纳,获得10
14秒前
songmc发布了新的文献求助10
14秒前
潇洒的书白完成签到,获得积分10
15秒前
theverve发布了新的文献求助50
16秒前
科研通AI2S应助秋秋采纳,获得10
18秒前
DNAdamage完成签到,获得积分10
19秒前
汉堡包应助kelly采纳,获得10
20秒前
21秒前
pluto应助xuleiman采纳,获得10
21秒前
bierbia完成签到,获得积分10
22秒前
lumangxiaozi完成签到,获得积分10
23秒前
长情的学姐应助雪碧呀采纳,获得10
23秒前
科研吗喽应助活泼的问夏采纳,获得20
24秒前
liujun完成签到,获得积分10
25秒前
天外来客发布了新的文献求助10
25秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2482293
求助须知:如何正确求助?哪些是违规求助? 2144703
关于积分的说明 5470973
捐赠科研通 1867118
什么是DOI,文献DOI怎么找? 928103
版权声明 563071
科研通“疑难数据库(出版商)”最低求助积分说明 496509