Background: Cumulative sum (CUSUM) analysis is a valuable tool for quantifying the learning curve of surgical teams by detecting significant changes in operative length. However, there is limited research evaluating the learning curve of laparoscopic techniques in low-resource settings. The objective of this study is to evaluate the learning curve for laparoscopic appendectomy within a single surgical team in Senegal.
Methods: This was a single-center prospective study conducted from May 1, 2018, to August 31, 2023 of patients who underwent laparoscopic appendectomy at a tertiary care institution in West Africa. The AAST classification was used to describe the severity of appendicitis. Parameters studied included age, sex, operative length, conversion rate, and postoperative outcomes. To quantify the learning curve, CUSUM analysis of operative length was performed.
Results: A total of 81 patients were included. The mean age was 26.7 years (range 11-70 years) with a sex ratio of 1.9. Pre-operative severity according to AAST was Grade I in 75.4% (n = 61), Grade III in 7.4% (n = 6), Grade IV in 6.1% (n = 5), and Grade V in 11.1% (n = 9). Conversion occurred in 5 cases (6.1%). The average operative length was 76.8 min (range 30-180 min) and the average length of hospitalization was 2.7 days (range 1-13 days). Morbidity was observed in 3.7% (n = 3) and there were no deaths. The CUSUM analysis showed that a steady operative length was achieved after 28 procedures, with decreasing operative lengths thereafter.
Conclusion: Surgeons in our setting overcame the learning curve for laparoscopic appendectomy after performing 28 procedures. Moreover, laparoscopic appendectomy is safe and feasible throughout the learning curve. CUSUM analysis should be applied to other laparoscopic procedures and individualized by surgical teams to improve surgical performance and patient outcomes in low-resource settings.
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http://dx.doi.org/10.1007/s00464-024-10954-0 | DOI Listing |
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Rheumatology and Immunology, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of individuals developing OA is crucial for the timely identification of potential populations of OA. This allows for further diagnosis and intervention, which is significant for improving patient prognosis. Based on the NHANES for the periods of 2011-2012, 2013-2014, and 2015-2016, the study involved 11,366 participants, of whom 1,434 reported a diagnosis of OA.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Division of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada.
Background: To summarize the statistical performance of machine learning in predicting revision, secondary knee injury, or reoperations following anterior cruciate ligament reconstruction (ACLR), and to provide a general overview of the statistical performance of these models.
Methods: Three online databases (PubMed, MEDLINE, EMBASE) were searched from database inception to February 6, 2024, to identify literature on the use of machine learning to predict revision, secondary knee injury (e.g.
World Neurosurg
January 2025
Department of Neurology, The First People's Hospital of Jingzhou, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, China. Electronic address:
Objective: This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning algorithms.
Methods: Employing a retrospective cohort study design, this study collected patients with ruptured IA who received endovascular treatment at Jingzhou First People's Hospital during the inclusion period from September 2022 to December 2023. The entire dataset was randomly split into training and testing dataset with a 7:3 ratio.
J Clin Neurosci
January 2025
Division of Neurosurgery, Department of Surgery, National University Hospital, National University Health System, Singapore.
Ventriculoperitoneal shunt (VPS) insertion is a neurosurgical procedure done routinely for managing hydrocephalus. However, the technique of shunt insertion remains controversial. In this study, we retrospectively compared the accuracy of shunt placement using ultrasound (US) guidance to freehand insertion.
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