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Effectiveness of statin treatment strategies for primary prevention of cardiovascular diseases in a community-based Chinese population: A decision-analytic Markov model / 北京大学学报(医学版)
Journal of Peking University(Health Sciences) ; (6): 443-449, 2022.
Article in Chinese | WPRIM | ID: wpr-940986
ABSTRACT
OBJECTIVE@#To evaluate the effectiveness of statin treatment strategies based on risk assessment for the primary prevention of cardiovascular diseases by the Western guidelines in a community-based Chinese population from economically developed areas using data from the Chinese electronic health records research in Yinzhou (CHERRY) study.@*METHODS@#A Markov model was used to evaluate the effectiveness of the following statin treatment strategies, including (1) usual care without cardiovascular risk assessment(Strategy 0); (2) using the World Health Organization (WHO) non-laboratory-based risk charts with statin treatment for high-risk group (risk ≥ 20%) (Strategy 1); (3) using the WHO laboratory-based risk charts with statin treatment for high-risk group (risk ≥ 20%) (Strategy 2); and (4) using the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) model with statin treatment for high-risk group (risk ≥ 10%, Strategy 3). According to the guidelines, adults in the medium-risk group received lifestyle intervention, and adults in the high-risk group received life-style intervention and statin treatment under these strategies. The Markov model simulated different strategies for ten years (cycles) using parameters from the CHERRY study, published data, meta-analyses and systematic reviews for Chinese. The number of cardiovascular events or deaths, as well as the number need to treat (NNT) with statin per cardiovascular event or death prevented, were calculated to compare the effectiveness of different strategies. One-way sensitivity analysis on the uncertainty of incidence rate of cardiovascular diseases, and probabilistic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted.@*RESULTS@#Totally 225 811 Chinese adults aged 40-79 years without cardiovascular diseases at baseline were enrolled. In contrast to the usual care without risk assessment-based statin treatment strategy, Strategy 1 using the WHO non-laboratory-based risk charts could prevent 3 482 [95% uncertainty interval (UI) 2 110-4 661] cardiovascular events, Strategy 2 using the WHO laboratory-based risk charts could prevent 3 685 (95%UI 2 255-4 912) events, and Strategy 3 using the China-PAR model could prevent 3 895 (95%UI 2 396-5 181) events. NNTs with statin per cardiovascular event prevented were 22 (95%UI 14-54), 21 (95%UI 14-52), and 27 (95%UI 17-67), respectively. Strategy 3 could prevent more cardiovascular events, while Strategies 1 and 2 required fewer numbers need to treat with statin per cardiovascular event prevented. The results were consistent in the sensitivity analyses.@*CONCLUSION@#The statin treatment strategies based on risk assessment for the primary prevention of cardiovascular diseases recommended by the Western guidelines could achieve substantive health benefits in adults from developed areas of China. Using the China-PAR model for cardiovascular risk assessment could prevent more cardiovascular diseases while using the WHO risk charts seems more efficient.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Primary Prevention / Cardiovascular Diseases / China / Cost-Benefit Analysis / Hydroxymethylglutaryl-CoA Reductase Inhibitors Type of study: Practice guideline / Health economic evaluation / Prognostic study Limits: Adult / Humans Country/Region as subject: Asia Language: Chinese Journal: Journal of Peking University(Health Sciences) Year: 2022 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Primary Prevention / Cardiovascular Diseases / China / Cost-Benefit Analysis / Hydroxymethylglutaryl-CoA Reductase Inhibitors Type of study: Practice guideline / Health economic evaluation / Prognostic study Limits: Adult / Humans Country/Region as subject: Asia Language: Chinese Journal: Journal of Peking University(Health Sciences) Year: 2022 Type: Article