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Topol, E. J.

Publications and source records attributed to Topol, E. J..

2 recordsLinked to original sources

The Healthy Pregnancy Research Program: Transforming Pregnancy Research Through a ResearchKit App

Although maternal morbidity and mortality in the U.S. is among the worst of developed countries, pregnant women have been under-represented in research studies, resulting in deficiencies in evidence-based guidance for treatment. There are over two billion smartphone users worldwide, enabling researchers to easily and cheaply conduct extremely large-scale research studies through smartphone apps, especially among pregnant women in whom app use is exceptionally high, predominantly as an information conduit. We developed the first pregnancy research app that is embedded within an existing, popular pregnancy app for self-management and education of expectant mothers. Through the large-scale and simplified collection of survey and sensor generated data via the app, we aim to improve our understanding of factors that promote a healthy pregnancy for both the mother and developing fetus. From the launch of this cohort study on March 16, 2017 through December 17, 2017, we have enrolled 2,058 pregnant women from all 50 states. Our study population is diverse geographically and demographically, and fairly representative of U.S. population averages. We have collected 14,045 individual surveys and 11,669 days of sleep, activity, blood pressure and heart rate measurements during this time. On average, women stayed engaged in the study for 59 days and 45 percent who reached their due date filled out the final outcome survey. During the first nine months, we demonstrated the potential for a smartphone-based research platform to capture an ever-expanding array of longitudinal, objective and subjective participant-generated data from a continuously growing and diverse population of pregnant women.\n\nFundingSupported in part by the National Institutes of Health (NIH)/National Center for Advancing Translational Sciences grant UL1TR001114 and a grant from the Qualcomm Foundation.

epidemiology

Moving Beyond Clinical Risk Scores with a Mobile App for the Genomic Risk of Coronary Artery Disease

Primary prevention of coronary artery disease (CAD) is important for individuals at increased risk, and largely consists of healthy lifestyle modifications and initiation of medications when appropriate - including statins. Defining the inherent risk for any given individual typically relies on traditional risk factors established decades ago by the Framingham Heart Study. Unfortunately, recent studies have indicated that these traditional clinical risk factors systematically overestimate the risk of CAD across all major ancestries. This has increased the number of patients that would be eligible for statin therapy for the primary prevention of CAD but would likely receive little benefit and potentially incur negative consequences. On the other hand, researchers have demonstrated that genetic factors can effectively identify a subset of high risk individuals, and that the benefit from statin therapy is greatest among individuals with the highest genetic risk score (GRS). These individuals also receive the greatest absolute benefit from healthy lifestyle choices, being able to titrate their risk to normal levels despite high genetic predisposition. However, it is not yet possible for the average individual to discover their genetic risk because no tools are currently available to make such a determination. Here, we present a free mobile app - MyGeneRank - that can provide this information. Individuals may choose to use this knowledge to complement traditional risk assessments, and make critical decisions regarding lifelong statin therapy and lifestyle changes. As of 1/25/2017, MyGeneRank is currently in closed beta and will soon be available to the public.

genomics