Citations

Abstract Introduction Vacuum erectile device (VED) is 1 of the main approved therapies for erectile dysfunction (ED). The introduction of phosphodiesterase type 5 inhibitor (PDE5i) for ED significantly changed the roles of VED in contemporary sexual medicine. Objective To provide updated clinical evidence to inform health care providers on best practices with VED. Methods A consensus panel was held with leading sexual medicine experts during the 5th International Consultation on Sexual Medicine (ICSM). Relevant peer-reviewed literature was reviewed with focus on research from the last 10 years, but not limited to the last 10 years. The expert panel generated consensus statements based on the quality of evidence and criteria of Grading of Recommendations Assessment, Development and Evaluation. Results As a primary or combination therapy for ED, VED has been shown to be successful in all populations studied, including difficult to treat cohorts, such as diabetes mellitus, spinal cord injury, and post-radical prostatectomy (RP), but long-term attrition rates are high. Available evidence has shown that VED can preserve or restore penile size for patients after RP, after incision and grafting surgery for Peyronie’s disease, before and after penile prosthesis, and after other post pelvic surgeries. However, it has not demonstrated a more rapid recovery of spontaneous erectile function after RP. VED does not increase penile length for subjective short penis. Studies with female specific VED for female sexual dysfunction are very limited. Conclusions Since the prior 4th ICSM, more evidence is available to support the new roles of VED in contemporary sexual medicine. Research into the penile pathophysiologic changes with VED therapy and clinical outcomes for various conditions are ongoing. We encourage sexual medicine clinicians to follow the 5th ICSM recommendations, but providers should also use their own judgement and adopt shared decision making with their patients/partners when considering VED for a specific disorder.

Background: Patients presenting with non-ST elevation myocardial infarction (NSTEMI) are often admitted to medical wards. We aimed to evaluate the impact of the admitting department on long-term outcomes. Methods: Patients admitted to a large tertiary center were categorized according to the admission ward, either the intensive cardiac care unit (ICCU) or internal medicine department (IMD). We compared major adverse cardiovascular events (MACEs), a composite of all-cause death, recurrent myocardial infarction (MI), and revascularization, along with the individual components of MACE, between the two groups during a long-term follow-up. Results: A total of 11,779 NSTEMI patients were included, with 4522 admitted to the ICCU and 7257 to the department of internal medicine. Patients admitted to the ICCU had lower systolic blood pressure, higher troponin levels and lower left ventricular ejection fraction (LVEF) compared to those in the IMD group, indicating greater initial clinical severity. Although patients admitted to the ICCU experienced a significantly higher rate of in-hospital complications, there were no significant differences in the incidence of in-hospital deaths between the two groups. During 5-year follow-up, NSTEMI patients initially admitted to the ICCU had significantly lower rates of mortality and MACEs. The estimated hazard ratio for 5-year MACE and 5-year mortality rates for NSTEMI patients admitted to the IMD vs. those admitted to the ICCU were 2.03 (95% CI, 1.04–3.34) and 2.5 (95% CI, 1.10–4.38), respectively. Conclusions: NSTEMI patients admitted to the ICCU experienced lower long-term mortality and MACE rates. These findings support the management of NSTEMI patients in cardiac wards and warrant further research into the reasons for the improved outcome.

Context.— Distinguishing between renal oncocytic tumors, such as renal oncocytoma (RO), and a subset of tumors with overlapping characteristics, including the recently identified low-grade oncocytic tumor (LOT), can present a diagnostic challenge for pathologists owing to shared histopathologic features. Objective.— To develop an automatic computational classifier for stratifying whole slide images of biopsy and resection specimens into 2 distinct groups: RO and LOT. Design.— A total of 269 whole slide images from 125 cases across 6 institutions were collected. A weakly supervised attention-based multiple-instance–learning deep learning (DL) model was trained and initially evaluated through 5-fold cross validation with case-level stratification, followed by validation using an independent holdout data set. Quantitative performance evaluation was based on accuracy and the area under the receiver operating characteristic curve (AUC). Results.— The developed model data set yielded generalizable performance, with a 5-fold average testing accuracy of 84% (AUC = 0.78), and a closely aligning accuracy of 83% (AUC = 0.92) on the independent holdout data set. Conclusions.— The proposed artificial intelligence approach contributes toward a comprehensive solution for addressing commonly encountered renal oncocytic neoplasms, encompassing well-established entities like RO along with the challenging “gray zone” LOT, thereby proving applicable in clinical practice.

Abstract Aims To describe the baseline characteristics of the participants in the VICTOR (Vericiguat Global Study in Patients with Chronic Heart Failure; NCT05093933) trial and compare them to recent trials in patients with heart failure and reduced ejection fraction (HFrEF). Methods and results Baseline characteristics were evaluated in 6105 patients randomized to vericiguat or placebo. The mean age of the participants was 67 ± 11 years, 23.6% were women, 64.4% were White, and 10.7% were self-identified Black. Overall, 29.1% of participants were enrolled in Latin and South America, 27.8% and 18.5% in Eastern and Western Europe, 14.0% in Asia-Pacific and 10.6% in North America. The mean left ventricular ejection fraction was 30 ± 7% and 79% had New York Heart Association class II symptoms. Mean estimated glomerular filtration rate was 70.9 ± 24.0 ml/min/1.73 m2. Median N-terminal pro-B-type natriuretic peptide level was 1476 (970–2495) pg/ml and 47.5% of participants had no prior hospitalization for heart failure. Baseline therapy included 94.4% beta-blockers, 94.3% renin–angiotensin system modulation (including 56.0% on an angiotensin receptor–neprilysin inhibitor), 77.7% mineralocorticoid receptor antagonists, 59.1% sodium–glucose cotransporter 2 inhibitors, and 32.9% implantable cardioverter-defibrillators. Overall characteristics were relatively similar to other recent HFrEF trials but the VICTOR trial enrolled a higher proportion of participants receiving contemporary drug and device therapy. Conclusion The VICTOR trial enrolled the most optimally treated population in a phase III heart failure trial. These features will facilitate assessment of the benefit of vericiguat and elucidate the outcomes of patients on up-to-date medical therapy.

Introduction Artificial intelligence (AI), particularly large-language models like Chat Generative Pre-Trained Transformer (ChatGPT), has demonstrated potential in streamlining research methodologies. Systematic reviews and meta-analyses, often considered the pinnacle of evidence-based medicine, are inherently time-intensive and demand meticulous planning, rigorous data extraction, thorough analysis, and careful synthesis. Despite promising applications of AI, its utility in conducting systematic reviews with meta-analysis remains unclear. This study evaluated ChatGPT’s accuracy in conducting key tasks of a systematic review with meta-analysis. Methods This validation study used data from a published meta-analysis on emotional functioning after spinal cord stimulation. ChatGPT-4o performed title/abstract screening, full-text study selection, and data pooling for this systematic review with meta-analysis. Comparisons were made against human-executed steps, which were considered the gold standard. Outcomes of interest included accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for screening and full-text review tasks. We also assessed for discrepancies in pooled effect estimates and forest plot generation. Results For title and abstract screening, ChatGPT achieved an accuracy of 70.4%, sensitivity of 54.9%, and specificity of 80.1%. In the full-text screening phase, accuracy was 68.4%, sensitivity 75.6%, and specificity 66.8%. ChatGPT successfully pooled data for five forest plots, achieving 100% accuracy in calculating pooled mean differences, 95% CIs, and heterogeneity estimates ( I 2 score and tau-squared values) for most outcomes, with minor discrepancies in tau-squared values (range 0.01–0.05). Forest plots showed no significant discrepancies. Conclusion ChatGPT demonstrates modest to moderate accuracy in screening and study selection tasks, but performs well in data pooling and meta-analytic calculations. These findings underscore the potential of AI to augment systematic review methodologies, while also emphasizing the need for human oversight to ensure accuracy and integrity in research workflows.

AbstractNerve plexuses are complex networks of interwoven nerves in the peripheral nervous system. This article provides a comprehensive overview of the anatomy and function of the major nerve plexuses in the human body. The main spinal nerve plexuses—cervical, brachial, abdominal, lumbar, and sacral—are examined in detail, including their spinal origins, anatomical locations, and the areas they innervate. Understanding the intricate anatomy of nerve plexuses is essential for interventionalists, as it aids in the diagnosis and treatment of various neurological disorders affecting the peripheral nervous system.

ABSTRACT Adherence in digital health studies with extended observation periods (≥ 12 months) is limited, and participant retention considerably reduces with time. The US Food and Drug Administration has issued guidelines for improving participant engagement, adherence, and diversity in digital health studies combined with decentralized procedures. A decentralized digital health study on well‐being was designed with protocolized procedures to study the feasibility of participant engagement and technology support to facilitate adherence (wearing the smartwatch ≥ 70% of time) sustained over a 12‐month period. At the end of the study, participants were asked about their ease of participation and free‐response questions about how wearing the smartwatches impacted their physical wellness. An inductive thematic analysis (ITA) was performed to assess themes of those responses and association with adherence. A total of 298 participants were recruited between 2022 and 2023 ( n = 129 in Cohort A in October 22, n = 169 in Cohort B in April 23), with 23% non‐white participants accrued. Among the 298 participants accrued, 273 (92% of accrued participants) completed the 12‐month study with an average overall adherence of 77.4% (SD = 32.64) wear‐time across 12 months. Median adherence of participants whose responses exemplified an ITA theme encompassing perceived behavior changes in sleep and physical activity was higher than those who did not have a response exemplifying that theme. Conversely, those expressing perceived discomfort or intrusiveness of the smartwatch had a statistically lower adherence. These results highlight the crucial roles of technology support and robust engagement efforts to enable sustained adherence over extended follow‐up periods in decentralized digital health studies.

Abstract Introduction The impact of multiple feeding arteries on clinical outcomes of cerebral arteriovenous malformations (AVMs) is not well understood. This study aims to compare outcomes between AVMs with multiple versus single feeding arteries. Patients and Methods Data from the Multicenter International Study for Treatment of Brain AVMs (MISTA) consortium were analyzed. Propensity score matching (PSM) was used to balance cohorts. Subgroup analysis was conducted for ruptured and unruptured AVMs and different treatment options, and multivariable logistic regression was applied to assess the impact of feeding artery origin. Results Among 953 patients, 661(69.4%) had multiple feeding arteries, and 292 (30.6%) had a single feeding artery. After PSM, which included 422 matched patients (211 in each group), the differences in obliteration rates (68.7% vs 74.8%, OR 0.73, 95% CI: 0.48–1.12, p = 0.16) and symptomatic complications (15.6% vs 11.8%, OR 1.37, 95% CI: 0.78–2.41, p = 0.25) were not significant. Subgroup analysis comparing ruptured and unruptured AVMs and different treatment options showed no significant differences across all subgroups. Multivariable analysis identified PICA feeders as significantly associated with increased odds of all complications (OR 7.33, 95% CI: 2.14–25.1, p = 0.002). Discussion and Conclusion AVMs with a single feeding artery were more likely to present with rupture, but no significant differences in obliteration rates or complications were observed between the groups after PSM. These findings suggest that while the number of feeding arteries may influence the initial presentation, it does not appear to impact overall treatment success or patient prognosis. Further prospective studies are needed to confirm these findings.