Background: To investigate and analyze the learning curve of totally thoracoscopic mitral valve replacement and provide a quantitative reference for cardiac surgeons to carry out the operation step by step.
Methods: The clinical data were retrospectively analyzed of 100 consecutive patients with totally thoracoscopic mitral valve replacement successively performed by the same surgeon in a single center from May 2019 to June 2020. The learning curve was divided into 2 stages by using cumulative sum analysis, and relevant surgical parameters and perioperative indicators were analyzed.
Results: The first stage of the learning curve is the skill acquisition stage, which includes 1 to 40 surgical procedures. The second stage is the proficiency stage, involving 41 to 100 operations. Among the surgical parameters of the patients in the 2 stages, detectable improvements were observed in operative time, cardiopulmonary bypass time, cross-clamp time, and intraoperative injury. After surgery, the amount of drainage, length of hospital stay, blood creatinine levels, and oxygenation index 24 h after surgery were also significantly different between the 2 groups (all P < .05). The age and sex distributions of the patients were balanced, and there was no statistically significant difference in terms of conversion to median sternotomy between the 2 stages (P > .05).
Conclusions: Cumulative sum analysis was used to accurately analyze the learning curve of totally thoracoscopic mitral valve replacement, indicating that 40 cases are needed to master the technique.
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http://dx.doi.org/10.1532/hsf.3971 | DOI Listing |
Eur J Cardiothorac Surg
December 2024
University of Szeged, Szeged, Hungary.
JBJS Case Connect
October 2024
Department of Orthopaedic Surgery, UCSF Fresno, Fresno, California.
Case: The direct anterior total hip arthroplasty is known for a steep learning curve and femoral-sided intraoperative complications. This is a case report of a failure of femoral broach with a subsequent incarcerated femoral broach and novel extraction technique during a direct anterior total hip arthroplasty. This rare complication has only one other report in the literature.
View Article and Find Full Text PDFProteomes
December 2024
Center for Clinical Proteomics, Odense University Hospital, 5000 Odense, Denmark.
Abdominal aortic aneurysm (AAA) is a life-threatening condition characterized by the weakening and dilation of the abdominal aorta. Few diagnostic biomarkers have been proposed for this condition. We performed mass spectrometry-based proteomics analysis of affinity-enriched plasma from 45 patients with AAA and 45 matched controls to identify changes to the plasma proteome and potential diagnostic biomarkers.
View Article and Find Full Text PDFInt J Surg
December 2024
Surgery Centre of Diabetes Mellitus, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Background: The global prevalence of non-alcoholic fatty liver disease (NAFLD) is approximately 30%, and the condition can progress to non-alcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma. Metabolic and bariatric surgery (MBS) has been shown to be effective in treating obesity and related disorders, including NAFLD.
Objective: In this study, comprehensive machine learning was used to identify biomarkers for precise treatment of NAFLD from the perspective of MBS.
J Cardiovasc Dev Dis
December 2024
Doctoral School of "Dunărea de Jos" University of Galati,800201 Galati, Romania.
Cardiovascular disease (CVD) is a significant global health concern and the leading cause of death in many countries. Early detection and diagnosis of CVD can significantly reduce the risk of complications and mortality. Machine learning methods, particularly classification algorithms, have demonstrated their potential to accurately predict the risk of cardiovascular disease (CVD) by analyzing patient data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!