Reciprocal Relationship Between Cardiovascular Risk and Attainment of Blood Pressure and Cholesterol Targets in Users

Fabian Starnecker1,2, Johannes Krefting3,4, Leon Nissen5

  • 1Department of Cardiovascular Diseases, School of Medicine and Health, German Heart Centre Munich, TUM University Hospital, Technical University of Munich, Lazarettstr. 36, 80636, Munich, Germany. fabian.starnecker@tum.de.

Insights

Mobile health app users interested in lowering cardiovascular disease risk often do not meet blood pressure and cholesterol targets. Higher-risk individuals showed poorer control despite more frequent treatment, indicating underutilization of effective therapies.

Area of Science:

  • Cardiology
  • Digital Health
  • Public Health

Background:

  • Mobile health (mHealth) apps are increasingly used by individuals seeking to reduce cardiovascular disease (CVD) risk.
  • However, the extent to which these users achieve guideline-recommended blood pressure (BP) and cholesterol treatment targets remains unclear.

Purpose of the Study:

  • To assess the attainment of BP and cholesterol treatment goals in mHealth app users across different CVD risk strata.
  • To identify potential gaps in treatment and control among users of the HerzFit application.

Main Methods:

  • 1,230 users of the German mHealth app HerzFit without pre-existing CVD were categorized into low-to-moderate, high, and very high CVD risk groups.
  • Risk factor control was evaluated based on the use of antihypertensive and cholesterol-lowering medications and achievement of guideline-recommended BP and lipid targets.

Main Results:

  • Higher CVD risk groups (high and very high) reported more frequent antihypertensive and cholesterol-lowering treatment compared to the low-to-moderate risk group.
  • Despite increased treatment frequency, BP control rates were significantly lower in high-risk (65.4%) and very high-risk (48.2%) individuals versus low-risk (79.0%).
  • Cholesterol control rates were also substantially poorer in high-risk (12.8%) and very high-risk (11.0%) individuals compared to low-risk (30.4%) users. Use of advanced therapies like high-intensity statins was low.

Conclusions:

  • Individuals at high and very high CVD risk using mHealth apps achieve suboptimal BP and cholesterol control, even when receiving more frequent treatment.
  • There is a notable underutilization of effective medications and therapies in high-risk populations, highlighting a critical need for improved management strategies.
  • The findings underscore the importance of optimizing treatment protocols for high-risk individuals who actively engage with digital health tools for cardiovascular health management.
Abstract

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