Learning curve predictors for minimally invasive mitral valve surgery; how far should the rabbit hole go?

Autor: David Latter, Michalis Demosthenous, Subodh Verma, Matteo Cameli, Didar-Karan Kalra, Daniel Bonneau, Marjela Pernoci, Sandro Gelsomino, Massimo Bonacchi, G Lisi, Gianluigi Bisleri, Bobby Yanagawa, Aleksander Dokollari, M. Pervez
Přispěvatelé: RS: Carim - V04 Surgical intervention, CTC
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
Reoperation
Pulmonary and Respiratory Medicine
medicine.medical_specialty
predictive factors
redo surgeries
Pleural effusion
Operative Time
BARLOWS-DISEASE
Renal function
CUSUM
030204 cardiovascular system & hematology
logistic Euroscore II
Body Mass Index
law.invention
03 medical and health sciences
BMI
0302 clinical medicine
law
medicine
Cardiopulmonary bypass
Humans
Minimally Invasive Surgical Procedures
Cardiac Surgical Procedures
Stroke
minimally invasive mitral
Aged
Retrospective Studies
Surgeons
REPAIR
Mitral regurgitation
business.industry
Middle Aged
Surgical procedures
medicine.disease
Constriction
Surgery
learning curve
Databases as Topic
030228 respiratory system
STERNOTOMY
Mitral Valve
Female
Cardiology and Cardiovascular Medicine
business
Mitral valve surgery
STROKE
Forecasting
Zdroj: Journal of Cardiac Surgery, 35(11), 2934-2942. Wiley
ISSN: 0886-0440
DOI: 10.1111/jocs.14939
Popis: Objective To analyze predictors that influence the learning curve of minimally invasive mitral valve surgery (MIMVS). Methods Patients who underwent MIMVS between March 2010 to March 2015 were retrospectively analyzed. Predictive factors that influence the learning curve were analyzed. Results One hundred and five patients were included in the analysis. Cardiopulmonary bypass (CPB) time in minutes was 158.72 +/- 40.98 and the aortic cross-clamp (ACC) time in minutes was 114.48 +/- 27.29. There were three operative mortalities, one stroke and five >2+ mitral regurgitation. ACC time in minutes was higher in the low logistic Euroscore II (LES) group (LES = 5 = 88.66 +/- 22.26),P = 5% = 41.66 +/- 17.14), (P
Databáze: OpenAIRE
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