Breaking News:Smartphone Data for Early IPAH Detection– What Just Happened

IDIOPATHIC pulmonary arterial hypertension (IPAH) could be identified earlier using smartphone and wearable data, according to a new pilot study exploring digital approaches to disease detection. 

IPAH is a rare but life-limiting condition characterised by progressive narrowing of the pulmonary arteries, leading to increased pulmonary pressure and eventual heart failure. Diagnosis is often delayed because early symptoms, such as fatigue and breathlessness, are non-specific and confirmation requires invasive right heart catheterisation. As a result, there is growing interest in non-invasive strategies that could flag risk earlier and improve outcomes. 

In this study, researchers assessed whether long-term physical activity and heart rate data collected via smartphones and wearable devices could help identify individuals at risk of IPAH. The analysis included 109 participants from the UK, comprising patients with IPAH, disease controls, and healthy individuals, with up to eight years of retrospective data examined. 

Smartphone Data Offers New Route to Earlier Diagnosis 

A classifier trained on pre-diagnostic activity and heart rate metrics demonstrated strong discriminatory ability, distinguishing patients with IPAH from controls with a receiver operating characteristic area under the curve (ROC AUC) of 0.87. When combined with questionnaire data collected through the smartphone app, performance improved further to an ROC AUC of 0.94. 

External validation in a matched US cohort yielded a more modest ROC AUC of 0.74, suggesting variability in performance across populations. Nevertheless, the findings indicated that passively collected digital health data could capture subtle physiological changes occurring before clinical diagnosis. 

Importantly, wearable-derived activity metrics also correlated with six-minute walk distance, a standard clinical measure of functional capacity, supporting their potential as an adjunct to traditional risk assessment techniques. 

Implications for IPAH Screening and Monitoring 

These findings suggested that smartphone-based monitoring could complement existing diagnostic pathways for IPAH, potentially enabling earlier identification and remote risk stratification. Given the challenges associated with late diagnosis, even modest improvements in early detection could have meaningful clinical impact. 

The authors acknowledged that this was a small pilot study and highlighted the need for larger, prospective studies to validate these findings and assess real-world implementation. Variability between cohorts also underscored the importance of refining algorithms across diverse populations. 

Overall, the study pointed towards a future in which continuous, real-world data from everyday devices may play a role in identifying serious cardiopulmonary diseases before symptoms prompt clinical investigation. 

Reference 

Delgado-San Martin JA et al. Assessing the feasibility of using smartphone data to identify risk of idiopathic pulmonary arterial hypertension. npj Cardiovasc Health. 2026; DOI:10.1038/s44325-026-00114-9. 

Featured image: ChayTee on Adobe Stock