Comparison of initiation of antihypertensive therapy strategies for primary preven-tion of cardiovascular diseases in Chinese population:A decision-analytic Markov modelling study
10.19723/j.issn.1671-167X.2024.03.010
- VernacularTitle:基于马尔科夫模型的社区人群启动降压药物治疗预防心血管病的策略比较
- Author:
Tianjing ZHOU
1
;
Qiuping LIU
;
Minglu ZHANG
;
Xiaofei LIU
;
Jiali KANG
;
Peng SHEN
;
Hongbo LIN
;
Xun TANG
;
Pei GAO
Author Information
1. 北京大学公共卫生学院流行病与卫生统计学系,北京 100191
- Keywords:
Cardiovascular diseases;
Primary prevention;
Blood pressure management;
Markov model
- From:
Journal of Peking University(Health Sciences)
2024;56(3):441-447
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the health benefits and intervention efficiency of different strategies of initiating antihypertensive therapy for the primary prevention of cardiovascular diseases in a community-based Chinese population from the Chinese electronic health records research in Yinzhou(CHERRY)study.Methods:A decision-analytic Markov model was used to simulate and compare different antihy-pertensive initiation strategies,including:Strategy 1,initiation of antihypertensive therapy for Chinese adults with systolic blood pressure(SBP)≥140 mmHg(2020 Chinese guideline on the primary preven-tion of cardiovascular diseases);Strategy 2,initiation of antihypertensive therapy for Chinese adults with SBP≥130 mmHg;Strategy 3,initiation of antihypertensive therapy for Chinese adults with SBP ≥140 mmHg,or with SBP between 130 and 140 mmHg and at high risk of cardiovascular diseases(2017 American College of Cardiology/American Heart Association guideline for the prevention,detection,evaluation,and management of high blood pressure in adults);Strategy 4,initiation of antihypertensive therapy for Chinese adults with SBP≥ 160 mmHg,or with SBP between 140 and 160 mmHg and at high risk of car-diovascular diseases(2019 United Kingdom National Institute for Health and Care Excellence guideline for the hypertension in adults:Diagnosis and management).The high 10-year cardiovascular risk was de-fined as the predicted risk over 10％based on the 2019 World Health Organization cardiovascular disease risk charts.Different strategies were simulated by the Markov model for ten years(cycles),with parame-ters mainly from the CHERRY study or published literature.After ten cycles of simulation,the numbers of quality-adjusted life years(QALY),cardiovascular events and all-cause deaths were calculated to evaluate the health benefits of each strategy,and the numbers needed to treat(NNT)for each cardiovas-cular event or all-cause death could be prevented were calculated to assess the intervention efficiency.One-way sensitivity analysis on the uncertainty of incidence rates of cardiovascular disease and probabilis-tic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted.Results:A to-tal of 213 987 Chinese adults aged 35-79 years without cardiovascular diseases were included.Com-pared with strategy 1,the number of cardiovascular events that could be prevented in strategy 2 increased by 666(95％UI:334-975),while the NNT per cardiovascular event prevented increased by 10(95％UI:7-20).In contrast to strategy 1,the number of cardiovascular events that could be prevented in strategy 3 increased by 388(95％UI:194-569),and the NNT per cardiovascular event prevented decreased by 6(95％UI:4-12),suggesting that strategy 3 had better health benefits and intervention efficiency.Compared to strategy 1,although the number of cardiovascular events that could be prevented decreased by 193(95％UI:98-281)in strategy 4,the NNT per cardiovascular event prevented decreased by 18(95％UI:13-37)with better efficiency.The results were consistent in the sensitivity analyses.Conclusion:When initiating antihypertensive therapy in an economically developed area of China,the strategy combined with cardiovascular risk assessment is more efficient than those purely based on the SBP threshold.The cardiovascular risk assessment strategy with different SBP thresholds is suggested to balance health benefits and intervention efficiency in diverse populations.
