Add-on Chinese medicine for hospitalized chronic obstructive pulmonary disease (CHOP): A cohort study of hospital registry.


Journal

Phytomedicine : international journal of phytotherapy and phytopharmacology
ISSN: 1618-095X
Titre abrégé: Phytomedicine
Pays: Germany
ID NLM: 9438794

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 28 07 2022
revised: 15 11 2022
accepted: 04 12 2022
pubmed: 8 1 2023
medline: 13 1 2023
entrez: 7 1 2023
Statut: ppublish

Résumé

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death globally. The effect of Chinese medicine (CM) on mortality during acute exacerbation of COPD is unclear. We evaluated the real-world effectiveness of add-on personalized CM in hospitalized COPD patients with acute exacerbation. This is a retrospective cohort study with new-user design. All electronic medical records of hospitalized adult COPD patients (n = 4781) between July 2011 and November 2019 were extracted. Personalized CM exposure was defined as receiving CM that were prescribed, and not in a fixed form and dose at baseline. A 1:1 matching control cohort was generated from the same source and matched by propensity score. Primary endpoint was mortality. Multivariable Cox regression models were used to estimate the hazard ratio (HR) adjusting the same set of covariates (most prevalent with significant inter-group difference) used in propensity score calculation. Secondary endpoints included the change in hematology and biochemistry, and the association between the use of difference CMs and treatment effect. The prescription pattern was also assessed and the putative targets of the CMs on COPD was analyzed with network pharmacology approach. 4325 (90.5%) patients were included in the analysis. The mean total hospital stay was 16.7 ± 11.8 days. In the matched cohort, the absolute risk reduction by add-on personalized CM was 5.2% (3.9% vs 9.1%). The adjusted HR of mortality was 0.13 (95% CI: 0.03 to 0.60, p = 0.008). The result remained robust in the sensitivity analyses. The change in hematology and biochemistry were comparable between groups. Among the top 10 most used CMs, Poria (Fu-ling), Citri Reticulatae Pericarpium (Chen-pi) and Glycyrrhizae Radix Et Rhizoma (Gan-cao) were associated with significant hazard reduction in mortality. The putative targets of the CM used in this cohort on COPD were related to Jak-STAT, Toll-like receptor, and TNF signaling pathway which shares similar mechanism with a range of immunological disorders and infectious diseases. Our results suggest that add-on personalized Chinese medicine was associated with significant mortality reduction in hospitalized COPD patients with acute exacerbation in real-world setting with minimal adverse effect on liver and renal function. Further randomized trials are warranted.

Sections du résumé

BACKGROUND BACKGROUND
Chronic obstructive pulmonary disease (COPD) is the third leading cause of death globally. The effect of Chinese medicine (CM) on mortality during acute exacerbation of COPD is unclear. We evaluated the real-world effectiveness of add-on personalized CM in hospitalized COPD patients with acute exacerbation.
METHODS METHODS
This is a retrospective cohort study with new-user design. All electronic medical records of hospitalized adult COPD patients (n = 4781) between July 2011 and November 2019 were extracted. Personalized CM exposure was defined as receiving CM that were prescribed, and not in a fixed form and dose at baseline. A 1:1 matching control cohort was generated from the same source and matched by propensity score. Primary endpoint was mortality. Multivariable Cox regression models were used to estimate the hazard ratio (HR) adjusting the same set of covariates (most prevalent with significant inter-group difference) used in propensity score calculation. Secondary endpoints included the change in hematology and biochemistry, and the association between the use of difference CMs and treatment effect. The prescription pattern was also assessed and the putative targets of the CMs on COPD was analyzed with network pharmacology approach.
RESULTS RESULTS
4325 (90.5%) patients were included in the analysis. The mean total hospital stay was 16.7 ± 11.8 days. In the matched cohort, the absolute risk reduction by add-on personalized CM was 5.2% (3.9% vs 9.1%). The adjusted HR of mortality was 0.13 (95% CI: 0.03 to 0.60, p = 0.008). The result remained robust in the sensitivity analyses. The change in hematology and biochemistry were comparable between groups. Among the top 10 most used CMs, Poria (Fu-ling), Citri Reticulatae Pericarpium (Chen-pi) and Glycyrrhizae Radix Et Rhizoma (Gan-cao) were associated with significant hazard reduction in mortality. The putative targets of the CM used in this cohort on COPD were related to Jak-STAT, Toll-like receptor, and TNF signaling pathway which shares similar mechanism with a range of immunological disorders and infectious diseases.
CONCLUSION CONCLUSIONS
Our results suggest that add-on personalized Chinese medicine was associated with significant mortality reduction in hospitalized COPD patients with acute exacerbation in real-world setting with minimal adverse effect on liver and renal function. Further randomized trials are warranted.

Identifiants

pubmed: 36610116
pii: S0944-7113(22)00674-2
doi: 10.1016/j.phymed.2022.154586
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

154586

Informations de copyright

Copyright © 2022 Elsevier GmbH. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest No financial relationships with any organizations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Auteurs

Ning Xu (N)

The First Affiliated Hospital, Henan University of Chinese Medicine, Renmin Road, Zhengzhou, Henan, 450000, China; National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China; Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan province & Education Ministry of P.R. China, Henan University of Chinese Medicine, Jinshui East Road, Zhengzhou, Henan, 450046, China.

Kunyu Zhong (K)

Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.

Haibin Yu (H)

The First Affiliated Hospital, Henan University of Chinese Medicine, Renmin Road, Zhengzhou, Henan, 450000, China; Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan province & Education Ministry of P.R. China, Henan University of Chinese Medicine, Jinshui East Road, Zhengzhou, Henan, 450046, China.

Zixin Shu (Z)

Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.

Kai Chang (K)

Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.

Qiguang Zheng (Q)

Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.

Haoyu Tian (H)

Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.

Ling Zhou (L)

The First Affiliated Hospital, Henan University of Chinese Medicine, Renmin Road, Zhengzhou, Henan, 450000, China; Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan province & Education Ministry of P.R. China, Henan University of Chinese Medicine, Jinshui East Road, Zhengzhou, Henan, 450046, China.

Wei Wang (W)

The First Affiliated Hospital, Henan University of Chinese Medicine, Renmin Road, Zhengzhou, Henan, 450000, China; Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan province & Education Ministry of P.R. China, Henan University of Chinese Medicine, Jinshui East Road, Zhengzhou, Henan, 450046, China.

Yunyan Qu (Y)

The First Affiliated Hospital, Henan University of Chinese Medicine, Renmin Road, Zhengzhou, Henan, 450000, China; Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan province & Education Ministry of P.R. China, Henan University of Chinese Medicine, Jinshui East Road, Zhengzhou, Henan, 450046, China.

Baoyan Liu (B)

National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.

Xuezhong Zhou (X)

Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China. Electronic address: xzzhou@bjtu.edu.cn.

Kam Wa Chan (KW)

Department of Medicine, The University of Hong Kong, Hong Kong, China. Electronic address: chriskwc@hku.hk.

Jiansheng Li (J)

The First Affiliated Hospital, Henan University of Chinese Medicine, Renmin Road, Zhengzhou, Henan, 450000, China; Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan province & Education Ministry of P.R. China, Henan University of Chinese Medicine, Jinshui East Road, Zhengzhou, Henan, 450046, China. Electronic address: li_js8@163.com.

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