Citations

ABSTRACT A major challenge in hematopoietic progenitor cell apheresis is determining the whole blood (WB) volume to process to achieve a CD34+ cell collection goal. We developed a web‐based calculator app that uses the Collection Efficiency 2 (CE2) model to estimate personalized WB processing volumes needed to reach a prescribed CD34+ cell collection goal. Retrospective evaluation of the app using collection data from two academic medical centers showed that actual processed WB volumes were frequently higher than the app's recommendations. The frequency of potential under‐collection events is predicted to be low had the app‐calculated volumes been utilized. Our findings suggest that using the app's recommendations may lower total WB processing volumes, reducing over‐collection and time spent on the apheresis machine, while maintaining a low under‐collection risk profile.

Postoperative pancreatic fistula (POPF) is a critical complication following pancreatic surgeries, marked by leakage of pancreatic fluid due to anastomotic or pancreatic duct failure. Recent advancements have refined its definition, risk classification and management strategies. This review emphasises discussing new definitions, classification updates, predictive factors (both pancreatic and non-pancreatic), comparisons of surgical techniques and therapeutic advancements. Emerging trials and innovations, such as robotic-assisted surgery and personalised stents, are also addressed. The evolving understanding of POPF underscores the need for holistic and patient-centred surgical strategies.

Although CNP (C‐type natriuretic peptide) was first identified in brain tissue, its systemic expression and release is mainly located to the endothelial lining of the vasculature. As such, CNP should not be viewed as a classic blood‐borne hormone but rather as a local factor that supports the integrity of vascular function. Albeit CNP is structurally related to both ANP and BNP (A‐ and B‐type natriuretic peptide), the main signaling pathway is through a specific membrane‐bound receptor without crosstalk from endocrine ANP and BNP. CNP expression and CNP‐mediated effects can thus be uniquely targeted without interference from the related cardiac NPs. In this perspective, we present the CNP system as a largely overlooked target for potential intervention in cardiometabolic disease, hypertension, and diabetes before onset of complications and overt heart failure. To fully unleash this potential, with this perspective, we hope to fuel renewed interest with a focus on use of human in vitro and ex vivo systems as well as experimental medical approaches and human cohort data.

Background Cardiovascular disease (CVD) is a leading cause of death in cancer survivors. Predicting CVD risk in this population remains challenging. Risk prediction models that use machine learning algorithms could provide an objective method for accurate risk prediction to facilitate the prevention and management of CVD in cancer survivors. We evaluated previously tested machine learning algorithms and logistic regression (regularized by machine learning methods), in addition to testing and validating newer, more complex machine learning algorithms, for CVD prediction in cancer survivors. Methods This multicenter study used a database of 3835 multiracial cancer survivors with 89 clinical, laboratory, and echocardiographic features over 20 years. Models were trained using repeated random and time‐split samples and tested on a separate cohort of 329 patients. Model performance was assessed using the area under the receiver operating characteristic curve. Results Regularized logistic regression achieved an area under the receiver operating characteristic curve of 0.845 (heart failure), 0.783 (atrial fibrillation), 0.792 (coronary artery disease), and 0.806 (composite CVD). These are comparable to 0.837 and 0.848 for heart failure, using Bayesian additive regression tree and random forest as more advanced machine learning models, respectively. De novo composite CVD (post‐cancer diagnosis) was also predicted with an area under the receiver operating characteristic curve of 0.826 using regularized logistic regression, compared with 0.735 and 0.802 using decision tree and random forest, respectively. Conclusions Regularized logistic regression and advanced machine learning models demonstrated similar predictive performance, with institutional transferability. These tools may support risk stratification and prevention strategies in cardio‐oncology using longitudinal data. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT05377320.

Background: Accurate characterization of tumor stiffness and adhesion is crucial when surgically resecting meningiomas. Currently, such determinations are difficult to ascertain through standard preoperative imaging diagnostics and clinical experience. Herein, we explored magnetic resonance elastography (MRE) as a means of assessing these parameters and thereby improving neurosurgical resections. Methods: This prospective study of 193 patients with meningiomas involved three distinct patient subsets (cohort 1, 88 [2017–2021]; cohort 2, 55 [2022–2023]; cohort 3, 50 [2023–2024]. We analyzed preoperatively obtained MRE data on meningioma stiffness (cohorts 1 and 2) and adhesion (cohort 2) for accuracy, while matching subjects with or without MRE studies (cohort 3, 1:1 ratio) to define the role of preoperative MRE in improving operative outcomes. Results: Areas under the curve (AUCs) for MRE in gauging meningioma stiffness and adhesion were 0.87 and 0.89, respectively. Both parameters significantly surpassed empiric predictions of stiffness and adhesion rendered by surgeons and radiologists, based on routine magnetic resonance imaging (MRI). MRE-determined stiffness measures independently correlated with prolonged resection duration, whereas MRE-assessed adhesion showed independent associations with increased blood loss, longer duration of tumor resection, and higher risk of pial injury. Ultimately, results based on cohort 3 demonstrated that MRE has great potential in this setting to improve neurosurgical procedures by significantly reducing intraoperative bleeding, resection duration, and risks of pial injury. Conclusion: MRE is a promising, noninvasive tool for accurately assessing meningioma stiffness and adhesion, standing to improve the precision and safety of needed surgical intervention.

Abstract Introduction There is wide variation in male fertility preservation practices. While physician preference accounts for some of this diversity, practice patterns often reflect multiple extrinsic factors including patient demographics, equipment availability, laboratory protocols, and state law. Objective We sought to characterize national trends in sperm retrieval and storage across reproductive urology practices in the United States. Methods An anonymous 34-item survey characterizing provider demographics, practice settings, fertility preservation procedures, andrology laboratory practices, and cryopreservation expenses was designed. Practicing reproductive urologists were identified using information available through professional societies. Our survey was constructed using the Qualtrics platform and distributed electronically between October 2024 and May 2025. Results 39 responses were received by urologists practicing across 21 states (response rate: 21%, n=189). A majority (74%, n=29) of survey responders practiced at academic medical centers, with others practicing at non-academic hospitals (8%, n=3) and private practices (13%, n=5). The most common indications for fertility preservation reported included oncologic care (42%), gamete storage for planned ART (31%), transgender care (18%), pre-vasectomy sperm banking (10%), and pre-deployment banking for military personnel (5%). Nearly all providers performed microsurgical sperm retrievals (97%, n=38, Figure) and oncologic testicular sperm extractions (85%, n=33) when indicated. More than half of providers offered conventional testicular sperm extractions (72%, n=28), microsurgical epididymal sperm aspirations (59%, n=23), testicular sperm aspirations (56%, n=22), penile vibratory stimulation (54%, n=21), or percutaneous epididymal sperm aspirations (52%, n=20). Fewer providers offered post-mortem sperm retrieval (49%, n=19), pre-pubertal testicular tissue cryopreservation (36%, n=14), or electroejaculation (31%, n=12). Most respondents (62%, n=24) had access to an on-site andrology laboratory. Semen analyses were evaluated using manual (53%, n=20), computer-assisted (11%, n=4), or combinatorial methods (26%, n=10). Though many (37%, n=14) providers were uncertain about institutional costs for semen specimen processing, a plurality of respondents (40%, n=15) reported fees ranging from $100-500 with the remainder (23%, n=9) reporting fees exceeding $500. Respondents most frequently reported semen storage fees ranging between $100-300 per year (39%, n=15), while approximately a third (31%, n=12) estimated these costs to range between $300-600 per year. However, 18% (n=7) of respondents reported higher costs for specimen storage and 13% (n=5) were uncertain about the expense of this service. Conclusions This multi-institutional, geographically diverse survey reveals significant variation in reproductive urology practice patterns and cost associated with semen analyses and storage. Future studies will explore differences in practice patterns to better understand the factors influencing this variation and their effect on male reproductive healthcare. In the absence of society guidelines, reproductive urologists must collaborate, share best practices, and maintain price transparency to ensure sperm retrieval remains accessible and affordable. Disclosure No

Abstract Introduction Penile implant (PI) surgery is a well-recognized strategy for erectile dysfunction (ED) with excellent functional/satisfaction outcomes. To date, little attention has been paid to the attitudes and satisfaction outcomes of female partners of such patients. Objective To qualitatively assess how female partners feel about PI surgery to inform the development of a female partner specific questionnaire. Methods Female partners of men who had undergone PI surgery (3-piece inflatable) underwent concept elicitation interviews. Prior to this, a panel of experts in female sexual health and PI surgery was convened to define potential domains of interest. Women were interviewed by one of two female sexual medicine clinicians to elicit concepts. As part of the spontaneous item generation phase, participants were asked about their attitudes, hopes and concerns prior to PI surgery, as well as changes in partner post-surgery. Participants were then asked whether they identified domains raised by the expert panel that were not mentioned during the spontaneous phase. Additional open-ended questions were asked about experiences before and after PI surgery. Interviews were transcribed verbatim for subsequent qualitative analysis by 2 trained members of the study team. Results 12 women have been interviewed. Mean partner age = 60 years, relationship duration = 20 years. Interviews were held <12 months post-PI for 17% of partners, 12-24 months for 25%, >24 months for 58%. Partner communication and involvement in decision to get the implant were uniquely raised as pre-surgical concerns, whereas PI attributes were uniquely mentioned as post-surgical concerns. How the PI has impacted the man’s self-esteem, whether impacts to self-esteem have affected the partner, and overall satisfaction with sex were most common concepts raised across pre- and post-surgery (See Table). Conclusions Using rigorous qualitative methodology, we have identified concepts that are unique to pre-surgery, post-surgery, and common across the surgical experience among partners of men who have undergone penile implant surgery. These data will facilitate development of a tool to assess female partner attitudes, beliefs and satisfaction prior to and after PI surgery. Disclosure No

Objectives: In the United States, training for physicians who manage critically ill adult patients (intensivists) evolved through parallel subspecialty critical care medicine (CCM) pathways with significant commonality. The Society of Critical Care Medicine Adult Critical Care Physician Core Knowledge and Skills Task Force aimed to delineate the common core knowledge and skills required of all intensivists. Design: A master list of content areas and procedural skills was compiled from all CCM subspecialty program requirements and blueprints of the certification examinations. Using a modified Delphi approach, participants were asked to categorize the knowledge items as “advanced knowledge is essential,” “general, but not advanced, knowledge is essential,” or “knowledge is not essential.” Procedures were categorized as “intensivist performs routinely,” “intensivist only performs in an emergency,” or “intensivist knows” about the procedure. Setting: Representatives from CCM stakeholder organizations, including accreditation and certification organizations, critical care societies, and program directors’ societies, were invited to participate. SUBJECTS: Members of the Adult Critical Care Physician Core Knowledge and Skills Task Force of the Society of Critical Care Medicine. Interventions: For the first two rounds of the modified Delphi process, Research Electronic Data Capture was used. For the third and fourth rounds, the process was completed through online meetings with Zoom (Zoom Video Corporations, San Jose, CA) utilizing Zoom’s polling feature. Measurements and Main Results: A total of 541 items were determined to be essential, with 145 requiring advanced knowledge and 323 requiring general knowledge. For 73 items, consensus regarding advanced vs. general could not be achieved, but they remained essential. Only eight items were felt to be nonessential. Of the 16 procedures, most were categorized as “intensivist performs.” Conclusions: The large number of items included in the list of essential knowledge and skills demonstrates the complexity of modern CCM. Utilization of a common framework across the subspecialties of CCM could lead to greater harmonization among the fellowship program requirements and certification examinations.

INTRODUCTION: Colorectal cancer remains a leading cause of cancer associated death in the United States and colonoscopy the primary screening strategy for prevention. Rates of adenomatous and serrated neoplasia detection are inversely associated with postcolonoscopy colorectal cancer. This crucial quality metric depends on accurate ascertainment of colorectal neoplasia findings from both endoscopy and histopathology records. We aimed to assess the feasibility of a random forest machine learning model to rapidly and accurately categorize colorectal neoplasia from electronic health record data. METHODS: A retrospective cohort study compared neoplasia detection rates among individuals undergoing colonoscopy at a large academic institution to develop a rule-based algorithm to categorize colorectal neoplasia from endoscopy reports and pathology systematized nomenclature of medicine – clinical terms. This cohort provided a large training set to develop a natural language processing system using a random forest approach to automatically classify unstructured pathology findings into adenoma, serrated, or advanced neoplasms. This system was manually validated through an independent holdout set. RESULTS: The training set comprised 35,953 unstructured pathology reports with matched systematized nomenclature of medicine – clinical terms from 95,188 unstructured colonoscopy reports. The final model was assessed on an independent holdout set of 337 manually annotated procedures obtaining an area under the receiver operating characteristic curve of 0.997 (confidence interval [CI] 0.994–1), 0.99 (CI 0.98–1), and 0.99 (CI 0.98–0.99) for prediction of adenoma, serrated, and advanced lesions, respectively. DISCUSSION: The random forest-based hybrid natural language processing system for classification of colonoscopy results was both accurate and explainable. NLP combined with effective machine learning algorithms can provide a scalable strategy for colonoscopy quality monitoring.

BACKGROUND: Guidelines recommend 3-hour cardiac amyloid radionuclide imaging (CARI) for transthyretin amyloid cardiomyopathy. Citing rapid blood clearance of 99m Tc-hydroxymethylene-diphosphonate (HMDP) and efficient laboratory throughput, 1-hour imaging is increasingly practiced despite limited supporting evidence. We sought to compare diagnostic performance and interpreter experience of 1-hour versus 3-hour HMDP-CARI. METHODS: Consecutive patients with suspected transthyretin amyloid cardiomyopathy (n=114) underwent both 1-hour and 3-hour HMDP single photon emission computed tomography (CT)/CT. Two cardiologist-radiologist reader teams, blinded to imaging timepoint (1 versus 3 hours), assessed overall interpretation, single photon emission CT–based Perugini grade, interpretation difficulty, interpreter confidence, and need for CT-fused images for anatomic localization. Discordant, equivocal, and difficult cases were arbitrated by a third tie-breaking team. The myocardial-to-blood-pool radiotracer uptake ratio (3-dimensional Score) was measured as a surrogate of contrast resolution. RESULTS: Interinterpreter agreement was high at both time points (κ≥0.81), with more cases requiring arbitration at 3 hours versus 1 hour (22% versus 13%; P =0.049). Overall interpretation and Perugini grades were concordant between time points in 111/114 (97%) and 106/114 (93%) patients, respectively. Three patients (3%) were negative at 1 hour but equivocal at 3 hours, all of which were clinically ruled out for transthyretin amyloid cardiomyopathy. Interpreter confidence was comparable at both timepoints (97% versus 95%; P =0.317). Compared with 3-hour imaging, contrast resolution was inferior (lower 3-dimensional score, P <0.001) and CT fusion was more frequently needed (57% versus 31%, P <0.001) at 1-hour imaging. CONCLUSIONS: In a prospective, blinded comparison of 1-hour versus 3-hour HMDP-CARI, diagnostic performance and interpreter experience were similar, with readers requesting CT fusion more frequently at 1 hour to optimize myocardial-to-blood pool discrimination.