HYPERTENSION-RELATED SYMPTOMS: REAL LIFE DATA FROM THE HY-RESULT WEB-APPLICATION

Objective: While home blood pressure monitoring is increasingly used in clinical practice, real-world data are limited. This study evaluated the frequency and characteristics of self-declared symptoms by hypertensive patients measuring their blood pressure (BP) at home through data generated by the Hy-Result software in real-life conditions.Design and method: Hy-Result is a validated web application that helps patients to measure their BP following a standardized protocol, self-interprets their results, and shares their readings in a PDF report. Patient-reported outcomes (medical profiles and BP readings) are securely stored in an anonymized database. Each report is generated by patients (three BP measurements morning and evening) over a period of three to seven consecutive days. Data were collected between September 2024 and February 2025 and grouped based on antihypertensive medication use and patients’ self-reported symptoms (headache, dizziness and pain) classified as asymptomatic or symptomatic category. The chi-square test was used to compare qualitative variables, and Wilcoxon rank sum test was used to compare quantitative variables. Results: Overall, 8810 patients were included. Median age was 65 years old [56, 73] and 5267 (60%) were male. 7124 (80.9%) patients were taking antihypertensive treatment. A total of 1826 patients (20%) were symptomatic. Symptom’s frequency was associated with younger age (p<0.001), female sex (p<0.001), high BP levels (over 160/110 mmHg) (p<0.001), absence of antihypertensive treatment (p<0.001), and past medical history of diabetes (p<0.001), stroke (p<0.001) and kidney failure (p<0.001). Lifestyle factors such as tobacco smoking (p<0.01) and alcohol consumption (p<0.001) were also associated with a higher symptoms frequency (table). Conclusions: In this real-life study, 20% of patients declared having symptoms they consider being related to hypertension. Self-reported symptoms of hypertension, as captured by the Hy-Result web-application, were significantly associated with demographic, clinical, and lifestyle factors. These results underscore the utility of self-management technologies in providing real-time, patient-generated data, which can contribute to a better understanding of hypertension and its symptomatology.