Future clinical research. US model based on iPhone.

We do not know if you would agree or not, but it is obvious that research is now based on the number of cases you have. Apple is showing us that the best way to collect a massive number of cases and this is by using iPhone and Healthkit.  In any case this enforce the Health 4.0.

I doubt that all Faculties of Medicine and Research Departments are prepared for this type of clinical research, but for those who are herewith enclose two outstanding research models in US based on those premises:

a) Asthma from Mount Sinai. Showed as a pure clinical symptoms control and care it wants to collect the genome of participants in cooperation with 23andMe to understand weather genes play a role in the severity of patients’ asthma attacks or how they respond to certain asthma medications.

b) Heart from Stanford  in the States taking into account activity and heart risk analysis following the official “2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk”[1]. The 2013 guidelines use age, gender, race, blood pressure, cholesterol levels, and other risk factor information to provide personalized estimates of 10-year risk of heart attack or stroke (for those aged 40-79) and lifetime risk (for those 20-59). For comparison, 10-year and lifetime risk scores are also provided for someone of the same age, gender, and race with optimal risk factors (total cholesterol 170mg/dL, HDL 50mg/dL, systolic blood pressure 110mmHg, no smoking, no diabetes, no medication for high blood pressure).

Magic number are taken into consideration such as:

  1.  “Heart age” is based on matching your personal 10-year risk score to optimal risk score. More risk factors increase your heart age.
  2. The 10-year risk score, it applies to ages 40-79. In general, a score >7.5% is considered high and warrants discussion with your doctor. There may be other medical or family history that can increase your risk and these should be discussed with your doctor.
  3. Lifetime Risk Score: This is based on data comparing risk factors and the likelihood of developing heart disease or stroke over a lifetime. In the US, approximately 1 in 2 men and 1 in 3 women will develop cardiovascular disease in their life. Having more optimal risk factors is associated with a lower lifetime risk.

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