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
- electronic health record
- cardiovascular events
- psychometric properties
- sars cov
- big data
- randomized controlled trial
- coronavirus disease
- computed tomography
- systematic review
- physical activity
- clinical practice
- magnetic resonance imaging
- middle aged
- positron emission tomography
- data analysis
- type diabetes
- community dwelling
- cross sectional
- general practice