Citations

Objective: To compare postoperative complications between staged versus unstaged tympanoplasty and subtotal petrosectomy (STP) in adults undergoing cochlear implants with noncholesteatoma chronic otitis media (NCCOM) and tympanic membrane perforation. Databases reviewed: PubMed/MEDLINE, Cochrane CENTRAL, Embase, CINAHL, Web of Science, WHO Global Index Medicus, ClinicalTrials.gov, and WHO ICTRP. Materials and methods: A systematic search of databases was conducted by a research librarian from inception through November 18, 2024. Eligible studies for inclusion must have reported on adult cochlear implant recipients undergoing surgical management of NCCOM with perforation. Using a random effects model, complication rates were pooled and compared between staged and unstaged surgeries using relative risk (RR) with 95% CI. Results: Of 1265 studies identified, 19 met inclusion criteria (n = 84). Fifty three (63.1%) patients underwent unstaged surgery. Amongst all patients, STP was performed more than tympanoplasty (72.6%, 61/84 vs 27.4%, 23/84), and the overall complication rate was 11.9% (10/84). There was no significant difference in complication rates between combined staged and unstaged surgeries [RR: 1.13 (95% CI, 0.18-7.04)] as well staged and unstaged tympanoplasty [RR: 0.34 (95% CI, 0.11-0.1.01)]. However, complication rates were lower for staged than unstaged STP [RR: 0 (95% CI, 0.0-0.07)]. Conclusion: Staged and unstaged surgery for NCCOM and cochlear implant may result in comparable complication rates, however the wide CIs for RR statistics in comparisons between combined staged and unstaged procedures as well as staged and unstaged tympanoplasty indicate a need for similar studies of larger populations.

Abstract Background: Medical education commonly utilizes the “see one, do one” two-step approach for teaching psychomotor skills; however, recent evidence suggests that Peyton’s four-step method leads to superior learning. The effect of Peyton’s four-step method on long term skill retention is less apparent and has never been assessed for Point-of-Care Ultrasound (POCUS). The purpose of this research project was to evaluate the effectiveness of Peyton’s four-step method on teaching the POCUS psychomotor skills of image acquisition to novice learners. Additionally, this research project assessed the influence of Peyton’s four-step method at three different points in time during the skill acquisition phase, in the setting of ongoing deliberate skill practice. Methods: A single-blinded, repeated measures interventional study based on experimental design was completed. PA students from one large academic medical center were randomized into a control group (using the two-step method) and intervention group (using Peyton’s four-step method). Students were taught POCUS of the aorta, bladder, heart, lungs, and kidneys. Students' POCUS skills were assessed during the immediate, intermediate, and delayed learning phases. At each assessment, an organ-specific score and a total score were obtained. Scores were compared using a Wilcoxon rank sum test. An ordinal logistic regression analysis was performed using a generalized linear mixed model with a multinomial distribution and cumulative logit link function to assess overall effect of Peyton's four-step method. Results: Students who were taught using Peyton’s method were found to have an increased likelihood of higher total scores compared to those taught using usual instruction (OR = 4.2, p = 0.003). Peyton’s method was found to have increased likelihood of higher scores for cardiac (OR = 2.3, p = 0.032), lung (OR = 2.5, p = 0.034), and kidney (OR = 3.0, p = 0.015). Student performance statistically improved with Peyton’s four-step method during the immediate (p = 0.031) and delayed (p = 0.011) skill acquisition phases, but not in the intermediate phase. Conclusion: Peyton’s four-step method improves overall psychomotor skill acquisition for POCUS. Peyton’s four-step method specifically improved psychomotor skills in the immediate skill acquisition phase and the delayed skill acquisition phase. The benefit of Peyton’s four-step method was more prominent in higher complexity POCUS applications.

ABSTRACT Newly diagnosed patients with non‐Hodgkin lymphoma (NHL) often have a history of other diseases, and these comorbidities can impact patient treatment and management options, as well as overall survival (OS). We developed the Lymphoma Epidemiology of Outcomes (LEO) comorbidity index (LCI) as a sum of 10 comorbidities adapted from the Self‐Report‐Generated Charlson Comorbidity Index (SRG‐CCI) for use in the LEO cohort, a national prospective study of newly diagnosed NHL. Of the 5502 participants with self‐reported comorbidity data, 3107 (56.4%) were male and the mean age at diagnosis was 60.9 years (range, 18–99 years). The LCI ranged from 0 to 6, with 48.6% having 0, 30.2% having 1, 21.2% having 2 or more comorbidities. With a median follow‐up of 62.4 months among surviving participants, 2099 patients had an event and 1219 died. Continuous LCI similarly predicted both 1‐year mortality (c‐statistic = 0.654) and OS (c‐statistic = 0.655), while it showed a weaker but still statistically significant predictive ability for lymphoma‐specific (c‐statistics = 0.617) and event‐free (c‐statistic = 0.574) survival. Participants with 1 (HR = 1.21, 95% CI 1.05–1.39) and 2+ (HR = 1.80, 95% CI 1.56–2.08) comorbidities had inferior OS compared to those with no comorbidities after adjustment for age and sex (c‐statistic = 0.654), and performance strengthened after adjustment for the International Prognostic Index (c‐statistic = 0.672). LCI predicted OS most strongly in marginal zone (c‐statistics = 0.748) and weakest in T‐cell (c‐statistic = 0.579) lymphoma. The cumulative incidence of death due to lymphoma, lymphoma treatment, and other causes all increased with increasing comorbidities, with the greatest increase observed for death due to other causes. The LCI performs comparable to other published comorbidity indices, supporting its use in the LEO cohort to better model real‐world outcomes and more generally providing an approach to implementing comorbidity indices in cancer survivorship cohorts.

Abstract Objective This study reports development and validation of a deep learning seizure detection algorithm for two‐channel subscalp electroencephalographic (EEG) recordings. Ultra‐long‐term monitoring of people with epilepsy may produce new insights into the timing and pattern of their seizures and may pave the way for novel therapeutic options. Although EEG is the accepted standard for epilepsy monitoring, ultra‐long‐term EEG recordings generate a massive quantity of data and are not reasonably reviewable in full by human readers. Methods The convolutional neural network‐bidirectional long short‐term memory (CNN‐BiLSTM) hybrid algorithm uses nine layers, operating on channel spectrograms 5 min in length with 50% overlap. Retrospective subscalp EEG data from 16 patients recorded at three centers were available for algorithm development and testing. EEG was recorded for a median of 63 days (range = 9–508), and a median of 17 seizures (range = 0–96) were recorded. Training data were augmented with scalp EEG seizures, and performance was benchmarked against a conventional spectral power classifier algorithm. We also evaluated an intrapatient training–testing approach where the algorithm was trained on the first 45% of data. Results The CNN‐BiLSTM trained on scalp EEG and subscalp EEG achieved an area under the receiver operating characteristic curve (AUROC) of .98 and an area under the precision–recall curve (AUPRC) of .50, which correspond to 94% sensitivity with 1.11 false detections per day. The same model trained on iEEG achieved only AUROC = .94 and AUPRC = .36. The conventional spectral band power detector achieved AUROC = .93 and AUPRC = .38. The CNN‐BiLSTM detector trained on the earliest half of the subscalp EEG data achieved AUROC = .93 and AUPRC = .37, corresponding to 87% sensitivity and 5.9 false detections per day. Significance High sensitivity and specificity are possible in automated seizure detection in two‐channel subscalp EEG data using a CNN‐BiLSTM framework. Performance of the detector is superior using subcutaneous EEG data for training rather than intracranial EEG, but addition of scalp EEG seizures for training was helpful.

ABSTRACT Background Living kidney donation is a crucial option for addressing the global organ shortage and providing kidney transplantation for patients suffering from end‐stage kidney disease. Ensuring donor safety necessitates a comprehensive preoperative assessment of kidney anatomy and function. This study evaluates the relationship between kidney volumes derived from deep learning‐based MRI volumetry, intraoperative kidney volume measurements, split renal function measured by renal scintigraphy, and post‐donation eGFR. Deep learning‐based MRI volumetry is hypothesized to be a reliable method with good correlation. Methods This retrospective study analyzed 178 living kidney donors. Deep learning MRI volumetry‐based kidney volumes were compared with intraoperative volumes of the explanted donor kidneys obtained using the water displacement method. Additionally, MRI‐based volume ratios were compared with scintigraphy‐based split renal function ratios to determine their ability to predict the kidney with poorer renal function and post‐donation eGFR. Results Deep learning‐based MRI volumetry strongly correlated with intraoperatively measured kidney volumes (Pearson's correlation; r = 0.7671; p < 0.0001), confirming its precision in volume estimation. Although MRI‐based kidney volume ratios demonstrated only a moderate correlation with scintigraphy‐based split renal function ratios ( r = 0.4798), MRI volumetry correlated with 1‐year post‐donation eGFR. It tended to be better than renal scintigraphy ( r = 0.6829 versus r = 0.6191). Conclusion Deep learning‐based MRI volumetry is a reliable, non‐invasive tool for estimating kidney volumes in living donors, offering a radiation‐free alternative for preoperative assessment. While it differs from renal scintigraphy in evaluating split renal function ratios, its correlation with post‐donation eGFR tends to be better, supporting its potential role in living kidney donor assessment.

Abstract The environmental impact of computer-aided diagnosis (CADx) in colonoscopy is unknown. The potential to reduce greenhouse gas emissions by limiting unnecessary polypectomies may be offset by emissions associated with CADx devices. We quantified and compared the carbon footprint of colonoscopy with and without CADx. Life-cycle carbon emissions associated with endoscopic snares, polyp traps, histopathology, and CADx devices were estimated using life-cycle assessment software. The effect of CADx was estimated by the carbon dioxide equivalent (CO2e) emissions related to outcomes from a prospective cohort of patients who underwent colonoscopy with optical diagnosis under a leave-in-situ strategy (i.e. rectosigmoid polyps ≤5 mm predicted as non-neoplastic were not removed) with and without CADx assistance. We analyzed 1134 individuals (median age 67 years, 59% male) with 1716 colorectal polyps. Colonoscopy with CADx reduced the number of snares and polyp traps from 567 to 543 (difference: 24) and histopathology submissions from 1343 to 1278 (difference: 65). However, the total carbon footprint increased from 832 kg CO2e (95%CI 815 to 847) without CADx to 946 kg CO2e (95%CI 927 to 965) with CADx, corresponding to an absolute increase of 114 kg CO2e (95%CI 80 to 150) or 0.10 kg CO2e per colonoscopy. Using CADx under a leave-in-situ strategy increased the environmental burden of colonoscopy.

Withdrawal Statement bioRxiv has withdrawn this manuscript after being contacted by the current corresponding author because they are unable to access the original data for revisions needed to finalize the preliminary results. If you have any questions, please contact the current corresponding author.

Abstract Pain is a common postpartum complaint, yet data suggest that approaches to postpartum pain management vary widely. Given the goal of improving quality and equity in postpartum pain management, we aimed to examine whether and how clinicians' perspectives on postpartum pain management differed by clinician roles. This is a qualitative study at a large, tertiary, and academic medical center. From November 2021 to June 2022, obstetric clinicians, including attending physicians, trainee physicians, and advanced practice providers (APPs), were recruited to complete in-depth interviews regarding their clinical experience managing postpartum pain using a semi-structured interview guide. Participants were asked to reflect both on their own role and that of the other clinician types. Purposive sampling was used to enroll a cohort representative of the institutional workforce in terms of clinician type and demographics. Data were analyzed using the constant comparative method. Of 46 participants, 47.8% (n = 22) were attending physicians, and 91% (n = 42) were female. Emergent themes were both self-reflected and externally directed. Data demonstrated that postpartum pain management differs by clinician type and level of experience. Themes related to the role of attending physicians included responsibilities as teachers for trainees, supervisory roles, and perceptions that attendings have greater comfort with prescribing opioids. Themes related to the role of trainee physicians included the impact of patient load on trainees' management, limitations of morning rounds, familiarity with emerging data, and perceptions of hesitancy to prescribe opioids. Themes related to the role of APPs included less reliance on opioids for postpartum pain management and emphasis on nonpharmacological approaches. Perspectives on postpartum pain management vary by clinician role. Consideration of these differences and the interplay between roles is essential when examining opioid prescribing patterns and developing interventions to improve postpartum pain management.

Bridging locoregional therapy (LRT) is widely used in liver transplant (LT) candidates with hepatocellular carcinoma (HCC) to minimize waitlist dropout and evaluate tumor biology. While transarterial chemoembolization (TACE) has historically been the predominant approach, the role of transarterial radioembolization (TARE) is expanding. Comparative effectiveness data for these 2 modalities as bridging strategies remain limited. This study assessed the trends, factors influencing therapy selection, and outcomes of transarterial bridging LRT. We conducted a retrospective cohort study of adult LT candidates with HCC listed in the Organ Procurement and Transplantation Network (OPTN) between 2016 and 2024 who received TACE or TARE as their sole bridging LRT. Inverse probability weighting (IPW) was applied to balance baseline covariates. Multivariable Fine–Gray competing risk regression and stratified Cox proportional hazards and logistic regression models were used to assess waitlist dropout, complete pathological necrosis (CPN), recurrence, and overall survival. Among 8367 patients, 5472 (65%) received TACE, and 2895 (35%) received TARE. TARE use increased significantly from 22.5% to 51.7% over the study period. TARE was more likely to be used among patients with MASLD, older age, and high tumor burden, and less likely in those with lower socioeconomic status. TARE recipients had a significantly lower risk of waitlist dropout (sHR 0.83, p <0.001) and a higher likelihood of achieving CPN (aOR 2.24, p <0.001). The overall survival did not differ significantly between groups (aHR 0.94, p =0.19). The use of TARE as bridging therapy in HCC LT candidates has surged and is influenced by socioeconomic factors, comorbidities, and tumor burden. TARE effectiveness has been demonstrated by its advantages in waitlist retention and tumor necrosis. Further studies are warranted to evaluate its impact on post-LT recurrence and to validate the cost-effectiveness among transarterial therapies.

Background: Venous malformations can cause substantial morbidity and long-term complications. There are no Food and Drug Administration (FDA)-approved therapies for the treatment of venous malformations. However, off-label use of sirolimus has demonstrated clinical benefit in these patients. This systematic review evaluates the efficacy and safety of sirolimus in the management of venous malformations. Methods and Results: A systematic literature search identified 26 studies comprising 98 patients treated with sirolimus for venous malformations. Most studies were case reports or case series (77%), with 15% prospective trials and 8% retrospective analyses. Sirolimus, primarily administered orally, yielded some level of clinical improvement in 72% of reported patients, with consistent symptomatic relief observed in coagulopathy, bleeding, anemia, pain, and improved function. However, reduction in the size of the malformation varied and treatment-limiting side effects were observed. Conclusions: Oral sirolimus is a promising treatment option for venous malformations, especially for those with deep venous malformations. A direct, targeted topical treatment could provide clinical benefit for the cutaneous manifestation without the risk of off-target effects as occur with oral sirolimus. Further prospective, controlled studies are warranted to elucidate sirolimus’s role in managing venous malformations.