Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, a serious sleep disorder, according to findings recently published in Communications Medicine. The team said their study is the first to provide estimates of whether continuous positive airway pressure (CPAP), a widely used therapy for obstructive sleep apnea, will increase or decrease an individual’s cardiovascular risk. It highlights the potential for precision medicine and varied approaches to tailor clinical care and reduce cardiovascular disease risk in vulnerable patients.
This article was originally published on MedicalXpress.com
