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

Abstract

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

Methods: This study use database from clinical trial that use Yuanjiang decoction, 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.