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1.
Swiss Med Wkly ; 153: 40050, 2022 03 22.
Article in English | MEDLINE | ID: mdl-37096776

ABSTRACT

AIM OF THE STUDY: Diagnosing small bowel pathology is challenging, and the diagnostic yield of small bowel capsule endoscopy is highly variable. Faecal calprotectin is a non-invasive intestinal inflammation marker that could be used as a selection tool to identify patients who might benefit from small bowel capsule endoscopy and increase its diagnostic yield. This study aimed to investigate the value of faecal calprotectin in detecting small bowel lesions in an unselected patient population. METHODS: We performed a retrospective analysis of consecutive patients who underwent small bowel capsule endoscopy at the University Hospital Basel and the University Medical Clinic Cantonal Hospital Baselland, Switzerland, between 2010 and 2018. Patients without faecal calprotectin testing were excluded from the analysis. The primary endpoint was the presence of a clinically significant small bowel finding. RESULTS: Patients with positive faecal calprotectin results were more likely to have small bowel findings (66.7% vs 39.4%; P = 0.007). The optimal faecal calprotectin cut-off to identify clinically significant small bowel lesions was 63 µg/g with 78.3% (95% confidence interval: 66.7-87.9) sensitivity, 47.9% (33.3-62.8) specificity, 1.50 (1.1-2.0) positive and 0.45 (0.3-0.8) negative likelihood ratios, 68.4% (61.6-74.4) positive and 60.5% (47.3-72.4) negative predictive values, and 65.0% overall accuracy. Faecal calprotectin performed best in patients with suspected inflammatory bowel disease, with 66.7% (48.2-82.0) sensitivity, 70.6% (44.0-89.7) specificity, 2.27 (1.0-4.9) positive and 0.47 (0.3-0.8) negative likelihood ratios, 81.5% (67.0-90.5) positive and 54.5% (39.7-68.6) negative predictive values, and 71.4% overall accuracy. CONCLUSION: Faecal calprotectin testing increases the diagnostic yield of small bowel capsule endoscopy and may help identify patients at risk of small bowel disease.


Subject(s)
Inflammatory Bowel Diseases , Leukocyte L1 Antigen Complex , Humans , Retrospective Studies , Biomarkers , Intestine, Small/pathology
2.
J Perinat Med ; 47(8): 857-866, 2019 Oct 25.
Article in English | MEDLINE | ID: mdl-31494636

ABSTRACT

Background Although cesarean sections at full dilatation are increasing, training in delivering a deeply impacted fetal head is lacking among obstetricians. The purpose of the study was to implement and evaluate a theoretical and simulation-based training program for this obstetrical emergency. Methods We developed a training program consisting of a theoretical introduction presenting a clinical algorithm, developed on the basis of the available literature, followed by a simulation session. We used the Kirkpatrick's framework to evaluate the program. A questionnaire was distributed, directly before, immediately and 6 weeks after the training. Self-perceived competencies were evaluated on a 6-point Likert scale. Pre- and post-test differences in the Likert scale were measured with the Wilcoxon signed rank test. Additionally, the training sessions were video recorded and rated with a checklist in relation to how well the algorithm was followed. Results Eleven residents and eight senior physicians took part to the training. More than 40% of participants experienced a comparable situation after the course during clinical work. Their knowledge and self-perceived competencies improved immediately after the training program and 6 weeks later. Major improvements were seen in the awareness of the algorithm and in the confidence in performing the reverse breech extraction (14.3% of the participants felt confident with the maneuver in the pre-training assessment compared with 66.7% 6 week post-training). Conclusion Our theoretical and simulation-based training program was successful in improving knowledge and confidence of the participants in delivering a deeply impacted fetal head during a cesarean section performed at full dilation.


Subject(s)
Cesarean Section/education , Obstetrics/education , Simulation Training/statistics & numerical data , Female , Humans , Pilot Projects , Pregnancy , Prospective Studies
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