Screening optimal target populations with symptomatic bradyarrhythmia for pharmacotherapy: a discriminant analysis pilot study

  • Wantong ZHANG ,
  • Danhui YI ,
  • Fang LU ,
  • Qiaoning YANG ,
  • Shuai SHI ,
  • Qiuyan LI ,
  • Weiliang WENG ,
  • Xujie WANG ,
  • Baochen ZHU
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  • 1 Institute of clinical pharmacology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China
    2 NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Beijing 100091, China
    3 National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China
    4 School of Statistics, Renmin University of China, Beijing 100872, China
    5 Department of General Medicine, Guanganmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
    6 NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Beijing 100091, China
    8 Department of Pharmacy, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China

Received date: 2023-05-27

  Accepted date: 2023-09-08

  Online published: 2025-01-10

Supported by

National Natural Science Foundation of China(82004352);National Medicine Master's Inheritance Studio Construction Project of the State Administration of Traditional Chinese Medicine (Weng Weiliang Academic Succession Studio), and the Fundamental Research Funds for the Central Public Welfare Research Institutes(ZZ14-YQ-006)

Abstract

OBJECTIVE: To screen the target population with symptomatic bradyarrhythmia for pharmacotherapy.

METHODS: This study use database from clinical trial that use Yuanjiang decoction (元姜方), a traditional Chinese medicinal prescription. Eligible participants were recruited and treated with Yuanjiang decoction (composed of 6 Chinese herbal medicines), 200 mL twice daily. Cross-contingency analysis, logistic regression analysis, interaction analysis, discriminant analysis and 10-fold cross validation methods were used to establish discriminant model.

RESULTS: This study concluded that the clinical treatment of bradyarrhythmia has a clear effect. Low minimum heart rate, high maximum heart rate are risk factors that affect the efficacy. Patients with only one comorbid disease did not significantly affect the efficacy, but patient with two or more diseases of coronary heart disease, hypertension, paroxysmal atrial fibrillation, premature ventricular contraction and premature atrial contraction at the same time did not have a good effect. Using the discriminant analysis method to establish a efficacy prediction model, y = 0.07 X 1 + 0.16 X 2 - 0.65 X 3 - 1.12 X 4 - 0.71 X 5 - 0.75 X 6 - 0.91 X 7 (X1 = 24 h mean heart rate, X2 = minimum heart rate, X3= coronary heart disease, X4 = paroxysmal atrial fibrillation, X5 = premature ventricular contraction, X6= sinus block, X7 = atrioventricular block).

CONCLUSION: Our model based on the clinical features of patients with bradyarrhythmia. Should be useful aid for predicting pharmacotherapy response and could screen the optimal pharmacotherapy target.

Cite this article

Wantong ZHANG , Danhui YI , Fang LU , Qiaoning YANG , Shuai SHI , Qiuyan LI , Weiliang WENG , Xujie WANG , Baochen ZHU . Screening optimal target populations with symptomatic bradyarrhythmia for pharmacotherapy: a discriminant analysis pilot study[J]. Journal of Traditional Chinese Medicine, 2025 , 45(1) : 160 -166 . DOI: 10.19852/j.cnki.jtcm.2025.01.015

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