Citations

Abstract Context Transgender and gender diverse (TGD) individuals have greater access to genital surgery (GS) with improved insurance coverage and access to trained surgeons and interdisciplinary gender-affirming providers. Objective To determine perioperative medical and behavioral health outcomes in transfeminine (TF) individuals undergoing GS, with use of a specific gender-affirming hormone therapy (GAHT) algorithm based on individualized risk factor assessment. Methods In this retrospective observational cohort study, we collected preoperative and postoperative data from 183 TF individuals at a single tertiary referral center from 2017 to 2022, grouping patients by those who continued estradiol (Group 1) vs those who had temporarily discontinued estradiol for 2 to 6 weeks preoperatively (Group 2). Data included clinical and biochemical assessment, GAHT regimens, validated behavioral health measures, and postoperative complications. Main outcomes included venous thromboembolism (VTE) incidence, non-VTE postoperative complication incidence, and change in behavioral health assessments. Results The majority of individuals continued estradiol perioperatively (Group 1; 138 [75.4%]). Individuals who temporarily held estradiol preoperatively (Group 2; 45 [24.6%]) were statistically older (P < .01), had higher incidence of cardiometabolic comorbidities (P < .01), and higher Caprini scores (P < .01). Group 1 was statistically more likely to use oral estradiol (P < .01). One episode (0.05%) of VTE occurred (Group 1). There was no significant difference in postoperative complications or behavioral health measures between groups. Conclusion An individualized algorithm for preoperative hormone management for TF GS resulted in perioperative continuation of GAHT for the majority of individuals without significantly increasing the risk for postoperative surgical complications, while maintaining stable behavioral health measures perioperatively.

Abstract Aims Patients with heart failure and mildly reduced or preserved ejection fraction have limited therapeutic options. The ALT-FLOW Early Feasibility Study evaluated safety, haemodynamics and outcomes for the APTURE transcatheter shunt system, a novel left atrium to coronary sinus shunt in these patients. Methods and results Safety and shunt implantation success was evaluated for all 116 enrolled patients. An analysis population of implanted patients with a left ventricular ejection fraction (LVEF) >40% (n = 95) was chosen to assess efficacy via paired comparison between baseline and follow-up haemodynamic (3 and 6 months), and echocardiographic, clinical and functional outcomes (6 months and 1 year). Health status and quality of life outcomes were assessed using the Kansas City Cardiomyopathy Questionnaire overall summary score (KCCQ-OSS). The primary safety endpoint, major adverse cardiac, cerebral, and renal events, and reintervention through 30 days, occurred in 3/116 patients (2.6%). All implanted shunts were patent at 1 year. In patients with LVEF >40%, the mean (95% confidence interval) reduction in exercise pulmonary capillary wedge pressure (PCWP) at 20 W was −5.7 (−8.6, −2.9) mmHg at 6 months (p < 0.001). At baseline, 8% had New York Heart Association class I–II status and improved to 68% at 1 year (p < 0.001). KCCQ-OSS at baseline was 39 (35, 43) and improved at 6 months and 1 year by 25 (20–30) and 27 (22–32) points, respectively (both p < 0.0001). No adverse changes in haemodynamic and echocardiographic indices of right heart function were observed at 1 year. Overall, the reduction in PCWP at 20 W and improvement in KCCQ-OSS in multiple subgroups were consistent with those observed for the entire population. Conclusions In patients with heart failure and LVEF >40%, the APTURE shunt demonstrated an acceptable safety profile with significant sustained improvements in haemodynamic and patient-centred outcomes, underscoring the need for further evaluation of the APTURE shunt in a randomized trial.

AbstractBackgroundWhile the list of fusion‐driven soft tissue neoplasms is expanding rapidly, their importance among cutaneous and superficial mesenchymal and adnexal neoplasms remains poorly understood. This challenge is especially evident in cases with ambiguous histopathology that are difficult to classify based on morphology.AimsOur goal was to investigate the benefits of next‐generation sequencing in diagnosing complex cutaneous neoplasms.Materials & MethodsDepartmental archives were searched for fusion‐driven cutaneous neoplasms. Slides were retrieved and clinical information including follow‐up was obtained.ResultsFifteen cases occurred in eight female and seven male patients, with a median age of 26 years (range: 1–83) at diagnosis. Tumors involved the extremities (9), scalp (5), and head and neck (1). Predominant features included myoepithelial (5), nested spindled with clear cytoplasm (2), atypical adnexal/squamoid (2), small round blue cell (2), cellular spindled (3), and fibrohistiocytic morphology (1). Most frequently encountered fusions involved EWSR1 (6) fused to ERG (1), FLI1 (1), CREB1 (2), CREM (1), PBX3 (1), followed by PLAG1 (4) with LIFR (2), TRPS1 (1) and CHCHD7. Additional fusions encountered were YAP1::NUTM1, EML4::ALK, SS18::SSX1 (2), and a novel fusion: ACTB::ZMIZ2. Integration of histologic features and molecular findings led to final diagnoses of primary cutaneous Ewing sarcoma (2), soft tissue myoepithelioma (4), cutaneous syncytial myoepithelioma (1), cutaneous adnexal carcinoma (1), porocarcinoma (1), inflammatory myofibroblastic tumor (1), synovial sarcoma (2), clear cell sarcoma (2), and angiomatoid fibrous histiocytoma (1).Discussion and conclusionOur results show that fusion testing can be a helpful diagnostic tool, especially in cases with unusual or uncommon morphology in superficial sites. Furthermore, it can allow for the identification of potential therapeutic targets in some instances.

Abstract Background The Mayo endoscopic subscore (MES) is an important quantitative measure of disease activity in ulcerative colitis. Colonoscopy reports in routine clinical care usually characterize ulcerative colitis disease activity using free text description, limiting their utility for clinical research and quality improvement. We sought to develop algorithms to classify colonoscopy reports according to their MES. Methods We annotated 500 colonoscopy reports from 2 health systems. We trained and evaluated 4 classes of algorithms. Our primary outcome was accuracy in identifying scorable reports (binary) and assigning an MES (ordinal). Secondary outcomes included learning efficiency, generalizability, and fairness. Results Automated machine learning models achieved 98% and 97% accuracy on the binary and ordinal prediction tasks, outperforming other models. Binary models trained on the University of California, San Francisco data alone maintained accuracy (96%) on validation data from Zuckerberg San Francisco General. When using 80% of the training data, models remained accurate for the binary task (97% [n = 320]) but lost accuracy on the ordinal task (67% [n = 194]). We found no evidence of bias by gender (P = .65) or area deprivation index (P = .80). Conclusions We derived a highly accurate pair of models capable of classifying reports by their MES and recognizing when to abstain from prediction. Our models were generalizable on outside institution validation. There was no evidence of algorithmic bias. Our methods have the potential to enable retrospective studies of treatment effectiveness, prospective identification of patients meeting study criteria, and quality improvement efforts in inflammatory bowel diseases.