1 00:00:09,500 --> 00:00:12,420 Our third example is about the Framingham Heart Study. 2 00:00:12,420 --> 00:00:16,000 This study represents one of the most important studies 3 00:00:16,000 --> 00:00:17,580 of modern medicine. 4 00:00:17,580 --> 00:00:19,610 It is an ongoing study of the residents 5 00:00:19,610 --> 00:00:21,380 in Framingham, Massachusetts. 6 00:00:21,380 --> 00:00:26,760 It started in 1948, and is now on the third generation. 7 00:00:26,760 --> 00:00:30,320 Much of the now-common knowledge regarding heart disease 8 00:00:30,320 --> 00:00:31,610 came from this study. 9 00:00:31,610 --> 00:00:34,310 For example, the fact that high blood pressure 10 00:00:34,310 --> 00:00:35,770 should be treated. 11 00:00:35,770 --> 00:00:38,050 Clogged arteries are not normal. 12 00:00:38,050 --> 00:00:42,460 Cigarette smoking can lead to heart disease. 13 00:00:42,460 --> 00:00:45,530 Let us give some statistics about heart disease. 14 00:00:45,530 --> 00:00:48,140 Heart disease has been the leading cause of death 15 00:00:48,140 --> 00:00:51,680 worldwide since the 1920s. 16 00:00:51,680 --> 00:00:58,680 7.3 million people died from coronary heart disease in 2008. 17 00:00:58,680 --> 00:01:04,940 Since 1950, age-adjusted death rates have declined 60%. 18 00:01:04,940 --> 00:01:10,370 In part, due to the results of the Framingham Heart Study. 19 00:01:10,370 --> 00:01:13,400 What is the data in this study? 20 00:01:13,400 --> 00:01:19,560 There were 5,209 patients enrolled in 1948. 21 00:01:19,560 --> 00:01:22,980 The patients were given a questionnaire and exams 22 00:01:22,980 --> 00:01:27,840 every two years, measuring their physical characteristics, 23 00:01:27,840 --> 00:01:29,720 their behavioral characteristics, 24 00:01:29,720 --> 00:01:32,140 and medical test results. 25 00:01:32,140 --> 00:01:35,210 The patient population, the exams, and the questions 26 00:01:35,210 --> 00:01:38,810 expanded over time. 27 00:01:38,810 --> 00:01:42,090 The approach the Framingham Heart Study utilized 28 00:01:42,090 --> 00:01:45,080 was a regression to predict whether or not 29 00:01:45,080 --> 00:01:49,580 a patient would develop heart disease in the next 10 years. 30 00:01:49,580 --> 00:01:53,670 The model tested and adjusted for different populations. 31 00:01:53,670 --> 00:01:56,479 The results of the study are available online 32 00:01:56,479 --> 00:01:59,950 so users can calculate their risk of heart disease 33 00:01:59,950 --> 00:02:04,400 based on total cholesterol, HDL, and systolic blood pressure. 34 00:02:07,440 --> 00:02:09,850 So what is the edge? 35 00:02:09,850 --> 00:02:13,440 It provided necessary evidence for the development of drugs 36 00:02:13,440 --> 00:02:15,270 to lower blood pressure. 37 00:02:15,270 --> 00:02:19,490 The study further paved the way for other cliniical prediction 38 00:02:19,490 --> 00:02:24,460 rules that predict clinical outcomes using patient's data. 39 00:02:24,460 --> 00:02:27,010 Finally, the study demonstrated how 40 00:02:27,010 --> 00:02:29,850 a model allows a medical professional 41 00:02:29,850 --> 00:02:33,270 to make predictions for patients worldwide.