Trends of antihypertensive use among patients with cancer and hypertension in the United States 2002–2019
International Journal of Cardiology Cardiovascular Risk and Prevention(2023)
Abstract
Background: Hypertension (HTN) is the most frequently reported comorbidity in patients with malignancy. This study was conducted to assess the trend of different antihypertensive (AHT) medications used in cancer patients.Methods: We used the Medical Expenditure Panel Survey (MEPS) database from 2002 to 2019 to identify adult (age >18 years) cancer patients with HTN using appropriate International Classification of Disease (ICD)-9 and ICD-10 codes. Benign and uncertain neoplasms were excluded. P-trend values were calculated using weighted logistic regression with "year" as the predictor variable.Results: We identified similar to 46 million adult hypertensive cancer patients with an increasing trend from 2002 to 2019 (3.3 m-6.7 m). Angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARB) use in hypertensive cancer patients increased steadily, while diuretics and combined drugs decreased. Calcium channel blocker (CCB) use increased since 2014-15. In cancer patients with heart failure (HF), beta-blocker (BB) use increased; however, diuretic use peaked in 2014-15 and declined. The use of ACEi/ARB in cancer patients with Diabetes (DM) has increased, whereas BB, CCB, and diuretic use remained stable. Hypertensive cancer patients with Atherosclerotic Cardiovascular Disease (ASCVD) had increased ACEI/ARB use. Combination AHT use has decreased broadly.Conclusion: The ACEI/ARB and CCB use trends increased over the past two decades, whereas diuretics have declined. In cancer patients with DM or ASCVD, the use of ACEI/ARB is trending up. BB use showed an increasing trend in patients with HF. Combined AHT and diuretics use decreased. Total expenditure and out-of-pocket expenditure have a decreasing trend for all AHT medications.
MoreTranslated text
Key words
antihypertensive use,hypertension,cancer,trends
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined