Prediction model for recommending coronary artery calcium score screening (CAC-prob) in cardiology outpatient units: A development study.

ABSTRACT: Despite the well-established significance of the CAC score as a cardiovascular risk marker, the timing of using CAC score in routine clinical practice remains unclear. We aim to develop a prediction model for patients visiting outpatient cardiology units, which can recommend whether CAC score screening is necessary. A prediction model using retrospective cross-sectional design was conducted. Patients who underwent CAC score screening were included. Eight candidate predictors were preselected, including age, gender, DM or primary hypertension, angina chest pain, LDL-C (≥130 mg/dl), presence of low HDL-C, triglyceride (≥150 mg/dl), and eGFR. The outcome of interest was the level of CAC score (CAC score 0, CAC score 1-99, CAC score ≥100). The model was developed using ordinal logistic regress

SUBMITTER: Wongyikul P 

PROVIDER: S-EPMC11441643 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature