Apps by Johns Hopkins Mobile medicine
LDL Cholesterol Calculator app icon

Health & Fitness

LDL Cholesterol Calculator

Johns Hopkins Mobile medicine

Free 4.07 · 1 storefront · 14 ratings No in-app purchases
Open on Apple

About this app

The Ciccarone Center for the Prevention of Cardiovascular Disease at Johns Hopkins has developed this app to provide automated calculation of LDL cholesterol by the method published by Martin and colleagues in the Journal of the American Medical Association (doi:10.1001/jama.2013.280532). The inputs are the three direct measures from the standard lipid profile: total cholesterol, HDL cholesterol, and triglycerides. Rather than the traditional one-size-fits-all approach of dividing triglycerides by a fixed factor, the Martin equation matches each person with a personalized factor to calculate the LDL cholesterol level. The method has been used extensively validated and recommended by major clinical guidelines, such as those of the American Heart Association and American College of Cardiology. The results and recommendations provided by this application are intended to inform but do not replace clinical judgment. Therapeutic options should be individualized and determined after discussion between the patient and their clinician. The method for LDL-C calculation programmed into this app was developed through research by Dr. Seth S. Martin and colleagues in the Johns Hopkins Ciccarone Center. This app was developed through collaboration of Dr. Martin with Dr. Ted W. James, as well as Chris Doyle and Manar Alhamdy of the Tech Innovation Center at Johns Hopkins. For-profit companies or anyone intending to redisplay or incorporate the LDL-C calculator must secure a license from the Johns Hopkins University. Please contact, JHTT-Communications@jhu.edu for more information. Copyright @ Johns Hopkins University 2020. All rights reserved.

Latest release

What’s New

Version 1.2 Jun 15, 2021

Expanded FAQ section

Audience growth

Ratings growth

Steady
7-day gain +0
Ratings / day 0.0
30-day gain +0
US rating-count history
14 ratings
14 Oct 15, 2026 · 14 ratings Oct 15, 2026

Baseline captured. Growth appears after the crawler observes a changed rating count.

Momentum comes from crawler snapshots for the tracked storefront. “Viral growth signal” means unusually fast recent rating gains; it is an indicator, not download data.

Price tracking

Price intelligence

1 captured event
Current Free
Historical low Free
Paid → free 0×
Price history
Current Free
Free Oct 15, 2026 · Free Oct 15, 2026 · Free Oct 15, 2026 Oct 15, 2026
  1. First observed Oct 15, 2026 · 7:47 AM Free

Screenshots

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