Back

Trends in Prescription Fills for Blood Pressure-Elevating and Antihypertensive Medications, 2017-2023

Kumar, A.; Therrien, N. L.; Ogwuegbu, J. I.; Lee, J. S.; Wall, H. K.; Flack, J. M.; Jackson, S. L.

2024-11-15 cardiovascular medicine
10.1101/2024.11.14.24317362 medRxiv
Show abstract

BackgroundMany medications can have blood pressure (BP)-elevating effects, which might negatively impact BP control among persons with hypertension. This study examines trends in prescription fills for BP-elevating and antihypertensive medications, individually and concurrently, among US individuals. MethodsQuarterly trends of concurrent and individual fills for BP-elevating and antihypertensive medications were reported using the national sample from IQVIAs Total Patient Tracker database, covering 94% of all retail prescription fills in the US. We identified 1,387 products containing BP-elevating medications and 240 products containing antihypertensive medications. Percentage change from Q1/2017 and average quarterly percent change from Joinpoint regression were used to present trends overall and by sex and age group (0-17, 18-44, 45-64, 65-74, and [&ge;]75 years). ResultsDuring 2017-2023, fills remained stable for BP-elevating medications alone and increased for antihypertensive medication alone (9.5% increase; from 10.1% to 11.0%; p<0.001). Concurrent fills for antihypertensive and BP-elevating medications increased by 15.9% (from 5.4% to 6.2%; p<0.001). Prescription fills for BP-elevating medications were higher among adult women compared to men; among women aged 18 to 44 years, this was primarily due to the use of combined oral contraceptives. In Q4/2023, prescription fills for BP-elevating medications were most common among those aged 65-74 years (females=30.7% vs males = 20.4%). ConclusionsThese results provide the first national trends in concurrent prescription fills for BP-elevating and antihypertensive medications, indicating an increasing trend. Our findings might inform clinicians in their decision-making regarding medication selection for patients with hypertension.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.