Background And Aims: Gastroenterology fellows require on average 250 to 275 colonoscopies to achieve competency. For surgical trainees, 50 colonoscopies is deemed adequate. Two training pathways using different assessment methods make any direct comparison impossible. At the Mayo Clinic colonoscopy training of gastroenterology and colorectal surgery (CRS) fellows were merged in 2017, providing a unique opportunity to define the learning curves of CRS trainees using the Assessment of Competency in Endoscopy (ACE) evaluation tool.
Methods: In a single-center retrospective descriptive study, ACE scores were collected on colonoscopies performed by CRS fellows over a period of 4 academic years. By calculating the average scores at every 25 procedures of experience, the CRS colonoscopy learning curves were described for each core cognitive and motor skill.
Results: Twelve CRS fellows (men, 8; women, 4) had an average prior experience of 123 colonoscopies (range, 50-266) during the general surgical residency. During CRS fellowship, an average of 136 colonoscopies (range, 116-173) were graded per fellow. Although the competency goals for a few metrics were met earlier, most motor and cognitive ACE metrics reached the minimum competency thresholds at 275 to 300 procedures.
Conclusions: CRS fellows reached competency in colonoscopy at around 275 to 300 procedures of experience, a trajectory similar to previously reported data for gastroenterology fellows, suggesting little difference in the learning curves between these 2 groups. In addition, no trainee was deemed competent at the onset of training despite an average experience well over the 50 colonoscopies required during residency.
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http://dx.doi.org/10.1016/j.gie.2022.02.019 | DOI Listing |
EClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFEClinicalMedicine
December 2024
Department of Pathology and Genetics, Laboratory of Cancer Medical Science, Hokuto Hospital, Obihiro, Hokkaido, Japan.
Background: Pancreatic cancer is highly aggressive and has a low survival rate primarily due to late-stage diagnosis and the lack of effective early detection methods. We introduce here a novel, noninvasive urinary extracellular vesicle miRNA-based assay for the detection of pancreatic cancer from early to late stages.
Methods: From September 2019 to July 2023, Urine samples were collected from patients with pancreatic cancer (n = 153) from five distinct sites (Hokuto Hospital, Kawasaki Medical School Hospital, National Cancer Center Hospital, Kagoshima University Hospital, and Kumagaya General Hospital) and non-cancer participants (n = 309) from two separate sites (Hokuto Hospital and Omiya City Clinic).
Exp Biol Med (Maywood)
December 2024
Department of Pediatric Surgery, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease with a poor prognosis. Its non-specific clinical symptoms make accurate prediction of disease progression challenging. This study aimed to develop molecular-level prognostic models to personalize treatment strategies for IPF patients.
View Article and Find Full Text PDFJAMIA Open
February 2025
Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55905, United States.
Objectives: In the general hospital wards, machine learning (ML)-based early warning systems (EWSs) can identify patients at risk of deterioration to facilitate rescue interventions. We assess subpopulation performance of a ML-based EWS on medical and surgical adult patients admitted to general hospital wards.
Materials And Methods: We assessed the scores of an EWS integrated into the electronic health record and calculated every 15 minutes to predict a composite adverse event (AE): all-cause mortality, transfer to intensive care, cardiac arrest, or rapid response team evaluation.
Front Immunol
December 2024
Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: Sepsis is an uncontrolled reaction to infection that causes severe organ dysfunction and is a primary cause of ARDS. Patients suffering both sepsis and ARDS have a poor prognosis and high mortality. However, the mechanisms behind their simultaneous occurrence are unclear.
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