Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information.

BACKGROUND: Data to better understand and manage the COVID-19 pandemic is urgently needed. However, there are gaps in information stored within even the best routinely-collected electronic health records (EHR) including test results, remote consultations for suspected COVID-19, shielding, physical activity, mental health, and undiagnosed or untested COVID-19 patients. Observational and Pragmatic Research Institute (OPRI) Singapore and Optimum Patient Care (OPC) UK established Platform C19, a research database combining EHR data and bespoke patient questionnaire. We describe the demographics, clinical characteristics, patient behavior, and impact of the COVID-19 pandemic using data within Platform C19. METHODS: EHR data from Platform C19 were extracted from 14 practices across UK participating in the OPC COVID-19 Quality Improvement program on a continuous, monthly basis. Starting 7th August 2020, consenting patients aged 18-85 years were invited in waves to fill an online questionnaire. Descriptive statistics were summarized using all data available up to 22nd January 2021. FINDINGS: From 129,978 invitees, 31,033 responded. Respondents were predominantly female (59.6%), white (93.5%), and current or ex-smokers (52.6%). Testing for COVID-19 was received by 23.8% of respondents, of which 7.9% received positive results. COVID-19 symptoms lasted ≥4 weeks in 19.5% of COVID-19 positive respondents. Up to 39% respondents reported a negative impact on questions regarding their mental health. Most (67%-76%) respondents with asthma, Chronic Obstructive Pulmonary Disease (COPD), diabetes, heart, or kidney disease reported no change in the condition of their diseases. INTERPRETATION: Platform C19 will enable research on key questions relating to COVID-19 pandemic not possible using EHR data alone.

Three life years gained after reperfusion therapy in acute myocardial infarction: 25-30 years after a randomized controlled trial.

AIM: Reperfusion therapy in acute myocardial infarction reduces infarct size and increases hospital survival. We investigated whether the benefit of reperfusion therapy for myocardial infarction was sustained long-term and assessed the gain in life expectancy by reperfusion therapy. METHODS AND RESULTS: We analysed the outcome of 533 patients (mean age 56 years, 82% men), who were randomized to either reperfusion therapy or conventional therapy during 1980-1985. Median follow up was 27 years (25-30 years). At follow up, 59 patients (22%) of the 269 patients allocated to reperfusion treatment and only 39 patients (15%) of the 264 conventionally treated patients were still alive (p = 0.02). The cumulative 10-, 15-, 20-, and 25-year survival rates were 69, 48, 37, and 24% after reperfusion therapy and 59, 38, 27, and 18% in the control group, respectively (p < 0.001). Life expectancy of the reperfusion group was 15.6 years vs. 12.5 years in the conventionally treated group (p < 0.02). Myocardial reinfarction and subsequent coronary interventions were more frequent after reperfusion therapy, particularly during the first year. In multivariable analysis, reperfusion therapy was an important independent predictor of lower mortality at long-term follow up. Other independent predictors of mortality were age, impaired left ventricular function, multivessel disease, infarct size, and inability to perform an exercise test at the time of discharge. CONCLUSION: These data confirm that the benefits of early reperfusion therapy for acute myocardial infarction are sustained throughout the lifetime of the patients. More than 3 life years were gained by reperfusion therapy.