Creating a Modified Version of the Cambridge Multimorbidity Score to Predict Mortality in People Older Than 16 Years: Model Development and Validation.
Debasish KarKathryn S TaylorMark P JoySudhir VenkatesanWilhelmine H MeerausSylvia TaylorSneha N AnandFilipa Matos FerreiraGavin JamieXuejuan FanSimon de LusignanPublished in: Journal of medical Internet research (2024)
The new modified version of the CMMS can be used on the GDPPR, a nationwide primary care data set of 54 million people, to enable adjustment for multimorbidity in predicting mortality in people in real-world vaccine effectiveness, pandemic planning, and other research studies. It requires 17 variables to produce a comparable performance with our previous modification of CMMS to enable it to be used in routine data using SNOMED CT.
Keyphrases
- primary care
- cardiovascular events
- electronic health record
- psychometric properties
- sars cov
- randomized controlled trial
- coronavirus disease
- risk factors
- systematic review
- computed tomography
- clinical practice
- physical activity
- type diabetes
- middle aged
- cross sectional
- coronary artery disease
- magnetic resonance imaging
- general practice
- positron emission tomography
- artificial intelligence