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Schroeder Hess posted an update 1 week, 3 days ago
OBJECTIVE Accurate diagnosis of sport-related concussions relies heavily on truthful self-reporting of symptom severity. Previous studies have emphasized lack of knowledge as a factor in symptom nondisclosure. This study sought to examine concussion knowledge and the relationship of knowledge to reasons for symptom nondisclosure. DESIGN Cross-sectional study. SETTING Data were collected during preparticipation athletic evaluations via electronic survey. PARTICIPANTS One hundred fifty-six incoming National Collegiate Athletic Association Division I student-athletes. MAIN OUTCOME MEASURES Survey items included previous concussion diagnosis, concussion fact and symptom knowledge, reasons and situational contexts for nondisclosure, and stakeholder attitudes. RESULTS Participants, on average, had substantial concussion symptom and fact knowledge. Unexpectedly, participants with higher concussion fact knowledge endorsed more reasons that athletes may hide symptoms. Concussion symptom knowledge was unrelated to reasons for nondisclosure. Athletes believed that symptom reporting was less likely in high-stakes versus low-stakes situations and consistently identified their teammates as holding attitudes that support underreporting and athletic trainers as engaging in behaviors that support player safety. CONCLUSIONS Greater concussion knowledge did not reduce the number of reasons that participants viewed as drivers for concussion nondisclosure. In other words, participants understood why athletes choose to hide symptoms even when they also understood the symptoms, risks, sequelae, and consequences of concussion (and potential harm of nondisclosure). Situational contexts and important stakeholder attitudes also appeared to importantly influence symptom disclosure decisions. A multifaceted approach that goes beyond current educational strategies to addresses situational, social, and athletic pressures may be needed to initiate a widespread cultural shift away from concussion nondisclosure.PURPOSE To describe the anatomic evolution of full-thickness macular hole closure after the inverted internal limiting membrane (ILM) flap technique. METHODS A retrospective review of 39 eyes (38 patients) with a full-thickness macular hole treated with the inverted ILM flap technique was performed. Ophthalmic examinations and imaging were performed preoperatively and postoperatively. RESULTS Macular changes in the early postoperative period included flap closure (15.4%), U-shaped closure (17.9%), V-shaped closure (33.3%), W-shaped closure (28.2%), gap closure (2.6%), and gap open (2.6%). Telratolimod Flap closure was associated with low myopia and shorter axial length (P less then 0.05). Two types of flap closure were observed. Type 1 was characterized by gap opening with an ILM cap, followed by a thickened ILM band drawing the edges of the macular hole closer with subsequent external limiting membrane formation; Type 2 was characterized by gap closure with an ILM cap, followed by gliotic proliferation filling the gap. Flap closure configuration disappeared within 4 months postoperatively. At the last follow-up, foveal contours were U-shaped closure (25.6%), V-shaped closure (35.9%), W-shaped closure (35.9%), and gap open (2.6%). CONCLUSION Two types of flap closure were observed in the early postoperative period. Several patterns of the foveal contour were observed in the late period. The presence of the ILM flap predicts eventual hole closure. These findings require confirmation and further elucidation of their possible clinical significance.OBJECTIVES Acute gastrointestinal (GI) bleed is a common reason for hospitalization with 2%-10% risk of mortality. In this study, we developed a machine learning (ML) model to calculate the risk of mortality in intensive care unit patients admitted for GI bleed and compared it with APACHE IVa risk score. We used explainable ML methods to provide insight into the model’s prediction and outcome. METHODS We analyzed the patient data in the Electronic Intensive Care Unit Collaborative Research Database and extracted data for 5,691 patients (mean age = 67.4 years; 61% men) admitted with GI bleed. The data were used in training a ML model to identify patients who died in the intensive care unit. We compared the predictive performance of the ML model with the APACHE IVa risk score. Performance was measured by area under receiver operating characteristic curve (AUC) analysis. This study also used explainable ML methods to provide insights into the model’s outcome or prediction using the SHAP (SHapley Additive exPlanations) method. RESULTS The ML model performed better than the APACHE IVa risk score in correctly classifying the low-risk patients. The ML model had a specificity of 27% (95% confidence interval [CI] 25-36) at a sensitivity of 100% compared with the APACHE IVa score, which had a specificity of 4% (95% CI 3-31) at a sensitivity of 100%. The model identified patients who died with an AUC of 0.85 (95% CI 0.80-0.90) in the internal validation set, whereas the APACHE IVa clinical scoring systems identified patients who died with AUC values of 0.80 (95% CI 0.73-0.86) with P value less then 0.001. DISCUSSION We developed a ML model that predicts the mortality in patients with GI bleed with a greater accuracy than the current scoring system. By making the ML model explainable, clinicians would be able to better understand the reasoning behind the outcome.The authors present a case of delayed radiation myelopathy in a 12-year-old girl with Hodgkin lymphoma and Artemis mutation. This is the first of such a case presented in the literature.Congenital afibrinogenemia is a rare disorder characterized by a lack of detectable fibrinogen. The mainstay of treatment for acute bleeding episodes or perioperative management is replacement with fibrinogen concentrate or fibrinogen-containing blood products. The development of neutralizing antibodies and severe allergic reactions to fibrinogen replacement is rarely reported in afibrinogenemia patients. Here the treatment regimen is described for a 6-year-old girl with a severe allergic reaction to multiple fibrinogen-containing products who became refractory to treatment because of a presumed inhibitor to fibrinogen.