CV Risk Estimation vs Infection Score

This app is for CLINICIANS, not the lay public. The CV Risk app presents clinicians with three valuable 10-year cardiovascular event risk calculators to serve clinicians and learners in primary prevention of cardiovascular disease. It is for clinicians only, not the lay public. The calculators are Framingham 2008, ASCVD 2013, and the revised pooled cohort equations ASCVD of 2018. The app addresses such common questions as: • What is the ASCVD 10-year CV risk for a 57 year old male hypertensive smoker with a given set of lipid and blood pressure numbers? • What’s the magnitude of impact of a patient on their own improving their cholesterol by 11, 27, or 41 points? • For a poorly controlled hypertensive smoker with a 10-year risk of 31.3%, how impactful would improved blood pressure control or smoking cessation be? • How impactful is a cholesterol of 220 on a given patient's risk at 35 vs. 55 vs. 75 years old? • I hear that ASCVD 2013 overestimates risk, particularly for black adults? True? What about the revised pooled cohort equations of 2018? The app explicitly does not include treatment thresholds, LDL targets, estimates of impact of therapy, coronary calcium scoring, etc. I wanted the cleanest simplest tool possible for evaluating and discussing cardiovascular risk with all the other more subjective, controversial stuff out of the way. This app is written and intended for practicing clinicians like internists and family physicians; for resident physician trainees; for medical students; and of course for other clinician colleagues like NP's and PA's. Cardiologists could use this app, but you folks are focused on secondary prevention, which is an entirely different ballgame. As an educator and clinician, I am interested in feedback and I would be grateful for guidance on improving the tool.

The Deep Infection Risk Score for Open Tibia Fractures scoring app is based on a large study performed at the R. Adams Crowley Shock Trauma Center. This retrospective study reviewed 769 open tibia fractures treated over a 14 year period and found 4 factors that predicted deep infection following treatment. Entering fracture characteristics into the app will return a predictive score based on the model developed in this study. The results and model were originally presented at the 2023 Annual Meeting of the American Association of Orthopedic Surgeons and published in Injury (Wilkinson et. al., A deep surgical site infection risk score for patients with open tibial shaft fractures treated with intramedullary nail. Injury. 2023 Oct;54(10):110965. doi: 10.1016/j.injury.2023.110965.)