It is widely recommended that any developed—diagnostic or prognostic—prediction model
is externally validated in terms of its predictive performance measured by calibration and …

Background: Valvular heart disease (VHD) is an important cause of mortality and morbidity
and has been subject to important changes in management. The VHD II survey was …

Background: Several perioperative inflammatory markers are postulated to be significant
factors for long-term survival after off-pump coronary artery bypass surgery (OPCAB) …

Introduction The global healthcare burden associated with surgery is substantial, with many
patients experiencing perioperative complications. Cardiac troponin I and T measured with …

Background Frailty is increasing in prevalence and poses a formidable challenge for
clinicians. The cardiac surgery literature consists primarily of small single‐center studies …

OBJECTIVES The aim of this study was to assess the impact of frailty on the outcome after
coronary artery bypass grafting (CABG) and whether it may improve the predictive ability of …

Aims In degenerative mitral regurgitation (DMR), lack of mortality scores predicting death
favours misperception of individual patients' risk and inappropriate decision-making …

Objective: We aimed to construct and validate several machine learning (ML) algorithms to
predict long-term mortality and identify risk factors in unselected patients post-cardiac …

OBJECTIVES Interest in the clinical usefulness of machine learning for risk prediction has
bloomed recently. Cardiac surgery patients are at high risk of complications and therefore …

Objectives Concerns have been raised about the predictive performance (PP) of the
EuroSCORE I (ES I) to estimate operative mortality (OM) of patients aged≥ 80. The …