Performance of cardiovascular disease risk prediction tools in chronic obstructive pulmonary disease | Synapse
March 28, 2026Open Access
Performance of cardiovascular disease risk prediction tools in chronic obstructive pulmonary disease
Puntos clave
To assess the performance of cardiovascular disease risk prediction tools specifically in patients with chronic obstructive pulmonary disease.
Evaluated levels of miscalibration in cardiovascular disease risk prediction models.
Analyzed the clinical utility and predictive power of these tools.
Considered the potential for further calibration to enhance accuracy.
Identified variable levels of miscalibration among the prediction models.
Established that despite miscalibration, the models retain clinical utility.
Suggested that improved calibration may lead to enhanced accuracy and predictive power.
Resumen
The models exhibit variable levels of miscalibration but retain clinical utility. With further calibration, their accuracy and predictive power may be improved.