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DOI 10.1177/03000605231214921

Медицинская библиотека · The Journal of international medical research · 2023

Pharmacoeconomic evaluation of stroke and myocardial infarction prevention in hypertensive patients: Markov model based on the ACCOMPLISH trial.

Feng Aozi, Lin Weizhao, Li Li, Zeng Mengnan, Lyu Jun

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Аннотация

OBJECTIVE

We evaluated the pharmacoeconomics of amlodipine combined with benazepril and hydrochlorothiazide combined with benazepril in the treatment of hypertension using a Markov model to provide an evidence-based reference for clinical drug use.

METHODS

In this retrospective study, we constructed two types of Markov model using data from the ACCOMPLISH (Avoiding Cardiovascular Events through Combination Therapy in Patients Living with Systolic Hypertension) trial to dynamically simulate the development of hypertension. The models were subjected to rollback analysis and cohort analysis to obtain the cost and effectiveness of the two drug regimens in preventing stroke and myocardial infarction in hypertensive patients. We conducted sensitivity analysis to determine the stability of the results.

RESULTS

The cost-effectiveness of amlodipine combined with benazepril was 66,196.97 RMB with 6.59 QALYs and that of hydrochlorothiazide combined with benazepril was 74,588.50 RMB with 6.46 QALYs. The incremental cost-effectiveness ratio of hydrochlorothiazide + benazepril was -64,550.23 compared with amlodipine + benazepril. The amlodipine + benazepril regimen was therefore more cost-effective than hydrochlorothiazide combined with benazepril. The sensitivity analysis results showed that the model was robust.

CONCLUSION

Compared with the hydrochlorothiazide + benazepril treatment regimen, the amlodipine + benazepril regimen showed greater economic benefits.

Для цитирования: Feng Aozi, Lin Weizhao, Li Li, Zeng Mengnan, Lyu Jun. Pharmacoeconomic evaluation of stroke and myocardial infarction prevention in hypertensive patients: Markov model based on the ACCOMPLISH trial.. The Journal of international medical research. 2023. DOI: 10.1177/03000605231214921.

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