AI May Help Predict PAH Patients' Risk of Worsening
Researchers looked at the medical records of 455 people with pulmonary arterial hypertension (PAH) to find factors associated with getting worse. Using a machine-learning computer model, they found 11 clinical features linked to a higher chance of a worsening event, but only body mass index and red cell distribution width were statistically significantly associated with clinical worsening.
About half of the patients experienced a worsening event during the study, usually within about 11 months. The model was reasonably good at identifying patients at higher risk. The researchers suggest that using automated prediction tools like this could help doctors recognize problems earlier and adjust treatment sooner to improve patient outcomes.
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