CVDkatteid

CVDkatteid is a term encountered mainly in theoretical or niche discussions about cardiovascular disease data management. It combines the acronym CVD with a coined suffix, used to denote a categorical identifier that labels individuals by cardiovascular risk within a dataset.

In this concept, CVDkatteid serves as a discrete label assigned to each subject, representing a risk category rather than a continuous score. It is intended to standardize communication when sharing data across studies or when training classification algorithms.

There is no single official formula for CVDkatteid. Proposals describe deriving the label from a subset of risk factors such as age, systolic blood pressure, total cholesterol, HDL, smoking status, diabetes, and body mass index, with a rule-based or data-driven mapping to categories (for example, low, medium, high). The mapping may be deterministic or probabilistic and may incorporate patient history or imaging findings in more advanced versions.

Applications of CVDkatteid could include data labeling, stratified analysis, and machine learning model training. However, it also risks oversimplification, inconsistent category definitions, and interoperability issues across datasets. It lacks a formal standardization body and is not used in routine clinical practice.

Related concepts include cardiovascular risk scores and risk stratification methods such as the Framingham risk score and ASCVD risk, as well as general data labeling practices in healthcare.