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Valvular Heart Disease Care in Pakistan: Impact of the Multidisciplinary Valve Heart Team.
JACC Adv
December 2024
Department of Interventional Cardiology& structural heart interventions, NICVD, Karachi, Pakistan.
Background: Patients with complex valvular heart disease (VHD) should be evaluated by a multidisciplinary heart team (HT). In low- and middle-income countries, referral practices are more variable, permitting any physician to refer patients directly to a cardiac surgeon without prior formal evaluation by a cardiologist with expertise in VHD.
Objectives: The goal of the study was to examine the demographics of VHD patients seen in a large heart valve center in a low- and middle-income country and to assess the impact of the multidisciplinary HT in patients referred for valve surgery.
Interobserver and intraobserver variability among different vendors for mitral valve assessment: implications for transcatheter mitral valve repair.
Radiol Med
January 2025
Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Purpose: Pre-procedural imaging is critical for transcatheter mitral valve repair planning in patients with mitral valve disease. As differences among various measurement techniques for valve evaluation are still poorly understood, we sought to assess the intra- and interobserver agreement of complex measurements derived from a prototype mitral evaluation tool (Siemens) and a commercially available tool (CVI42) using both saddle- and D-shaped mitral annulus techniques.
Materials And Methods: Multiphasic cardiac computed tomography angiography data were loaded into each software.
Predicting Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction by Using Machine Learning.
JACC Asia
December 2024
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Background: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).
Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.
Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.
Serum Lidocaine Levels in Adult Patients Undergoing Cardiac Surgery With del Nido Cardioplegia.
Ann Thorac Surg Short Rep
June 2024
Division of Cardiothoracic Surgery, Northwell Health, Manhasset, New York.
Background: Lidocaine in del Nido cardioplegia solution prolongs the refractory period of cardiomyocytes, yielding a longer arrest per dose. Serum lidocaine concentrations >8 mg/L are associated with seizure and cardiotoxicity. We evaluated serum lidocaine concentrations in patients receiving del Nido solution during cardiac surgery.
View Article and Find Full Text PDFMachine learning-derived multivariable predictors of postcardiotomy cardiogenic shock in high-risk cardiac surgery patients.
JTCVS Open
December 2024
Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, Ohio.
Objective: To develop a model for preoperatively predicting postcardiotomy cardiogenic shock (PCCS) in patients with poor left ventricular (LV) function undergoing cardiac surgery.
Methods: From the Society of Thoracic Surgeons Adult Cardiac Database, 11,493 patients with LV ejection fraction ≤35% underwent isolated on-pump surgery from 2018 through 2019, of whom 3428 experienced PCCS. In total, 68 preoperative clinical variables were considered in machine-learning algorithms trained and optimized using scikit-learn software.
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