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Importance Diabetes is an independent risk factor for urinary incontinence, and its impact on rates of postoperative incontinence after pelvic reconstructive surgery remains unexplored. Objective The aim of the study was to compare the incidence of postoperative stress urinary incontinence (SUI), urgency urinary incontinence (UUI), and mixed urinary incontinence in patients with diabetes mellitus undergoing surgery for pelvic organ prolapse (POP) with or without SUI surgery. Study Design This is a secondary analysis of a multicenter retrospective cohort study involving 10 diverse medical centers that identified a cohort of women with diabetes who had prolapse and/or anti-incontinence surgery. We compared rates of postoperative urinary incontinence among patients who had surgery for prolapse and incontinence versus surgery for prolapse only. Results Three hundred five patients had surgery for prolapse and incontinence, 330 had surgery for prolapse only, and 189 had anti-incontinence surgery only. De novo UUI was higher among those who underwent surgery for POP and SUI compared with surgery for POP alone (26.4% vs 14.1%, P < 0.01). Rates of persistent SUI (21% vs 4.9%, P < 0.01) and mixed urinary incontinence (15.9% vs 2.7%, P < 0.01) were higher for those who underwent prolapse surgery alone versus prolapse and an incontinence procedure. No differences were seen in hemoglobin A 1C levels between those who did and did not report postoperative UI. Conclusions We found that postoperative de novo UUI rates were high among patients with diabetes after pelvic reconstructive surgery, with the incidence being significantly higher for those who had surgery for prolapse and incontinence compared with surgery for prolapse only.

Abstract Purpose: Diffuse large B-cell lymphoma (DLBCL) is molecularly and clinically heterogeneous, and can be subtyped according to genetic alterations, cell-of-origin, or microenvironmental signatures using high-throughput genomic data at the DNA or RNA level. Although high-throughput proteomic profiling has not been available for DLBCL subtyping, MYC/BCL2 protein double expression (DE) is an established prognostic biomarker in DLBCL. The purpose of this study is to reveal the relative prognostic roles of DLBCL genetic, phenotypic, and microenvironmental biomarkers. Experimental Design: We performed targeted next-generation sequencing; IHC for MYC, BCL2, and FN1; and fluorescent multiplex IHC for microenvironmental markers in a large cohort of DLBCL. We performed correlative and prognostic analyses within and across DLBCL genetic subtypes and MYC/BCL2 double expressors. Results: We found that MYC/BCL2 double-high-expression (DhE) had significant adverse prognostic impact within the EZB genetic subtype and LymphGen-unclassified DLBCL cases but not within MCD and ST2 genetic subtypes. Conversely, KMT2D mutations significantly stratified DhE but not non-DhE DLBCL. T-cell infiltration showed favorable prognostic effects within BN2, MCD, and DhE but unfavorable effects within ST2 and LymphGen-unclassified cases. FN1 and PD-1–high expression had significant adverse prognostic effects within multiple DLBCL genetic/phenotypic subgroups. The prognostic effects of DhE and immune biomarkers within DLBCL genetic subtypes were independent although DhE and high Ki-67 were significantly associated with lower T-cell infiltration in LymphGen-unclassified cases. Conclusions: Together, these results demonstrated independent and additive prognostic effects of phenotypic MYC/BCL2 and microenvironment biomarkers and genetic subtyping in DLBCL prognostication, important for improving DLBCL classification and identifying prognostic determinants and therapeutic targets.

Objective: To assess the effectiveness of coronavirus disease 2019 (COVID-19) prevention strategies used during sports participation. Design: To analyze prospective reports of student-athletes with COVID-19–positive tests to assess prevention strategies and risk factors by sports and seasons. Setting: Minnesota high schools. Participants: Fall 2020 (August 24-October 30) and winter 2021 (January 2-March 12) student-athletes. Assessment of Risk Factors: Sports, indoor location, mask use, physical distancing, and season. Main Outcome Measures: COVID-19–positive test rates. Methods: Self-selected schools voluntarily reported, in 2-week intervals, the number of student-athletes with COVID-19–positive tests in each sport and the number of athletes participating in each sport during the fall and winter sports seasons. The positive testing rates per 100 000 athletes were calculated for participants in each sport and compared by sports type and risk variables. Results: The high school age community–positive testing rate was 1298 per 100 000 students in the fall and 2396 in the winter. The student-athlete positive testing rate was 1500 per 100 000 athletes during the fall and 2800 during the winter (χ2 = 1.98, df = 1, P = 0.350). Positive tests per 100 000 athletes ranged from 197 (girls alpine skiing) to 4151 (wrestling). The incidence rates comparing indoor with outdoor sports (P = 0.001) and close-contact with physically distanced sports (P = 0.023) were significantly different, but the incidence rates comparing indoor masked with unmasked sports (P = ns) were not different. Conclusion: Athletes competing in outdoor individual sports have less risk of a COVID-19–positive test compared with age-matched individuals in the community and indoor sports participants either wearing or not wearing masks during competition. Unmasked athletes in close proximity have the highest positive test rates, and unenforced masking is not associated with lower positive testing rates. More study is needed to understand mask effectiveness.

Objectives.A multicenter retrospective study was conducted to investigate the possible metabolic causes of pediatric cardiomyopathy and evaluate the outcome of patients treated with l-carnitine.Methods.Seventy-six patients diagnosed with cardiomyopathy were treated with l-carnitine in addition to conventional cardiac treatment, and 145 patients were treated with conventional treatment only. There were 101 males and 120 females between 1 day and 18 years old. Cardiomyopathy diagnoses included dilated (148 patients), hypertrophic (42 patients), restrictive (16 patients), mixed diagnosis (11 patients), and 4 with an unknown type. Of 76 l-carnitine-treated patients, 29 (38%) had evidence to suggest a disorder of metabolism, and of 145 control patients, 15 (10%) were suspected to have a disorder of metabolism. These metabolic disorders were thought to be the cause for the cardiomyopathy of the patients. The duration of l-carnitine treatment ranged from 2 weeks to &gt;1 year. Information was collected on length of survival (time-to-event), clinical outcome, echocardiogram parameters, and clinical assessments. Data were collected at intervals from baseline to study endpoint, death, transplant, or last known follow-up visit.Results.l-Carnitine-treated patients were younger than control patients and had poorer clinical functioning at baseline, yet they demonstrated lower mortality and a level of clinical functioning and clinical severity comparable to control patients on conventional therapy by the end of the study. An analysis of the interaction between clinical outcome and concomitant medications unexpectedly revealed that the population of patients treated with angiotensin-converting enzyme (ACE) inhibitors (40% of patients) had significantly poorer survival (although their greater likelihood for poor survival may possibly have made them more likely to receive ACE inhibitors).Conclusion.Results suggest that l-carnitine provides clinical benefit in treating pediatric cardiomyopathy. There is a need for further exploration of potential explanatory factors for the higher mortality observed in the population of patients treated with ACE inhibitors.

Abstract Introduction: Multiple studies have demonstrated that diffuse large B-cell lymphoma (DLBCL) can be divided into subgroups based on their biology. However, these biological subgroups overlap clinically. While R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) remains the standard of care for treating patients with DLBCL, predicting which patients will not benefit from such therapy is important so that alternative therapy or clinical trials can be considered. Most of the studies stratifying patients select biomarkers first, then explore how these biomarkers can stratify patients based on outcome. We explored the potential of using machine learning to first group patients with DLBCL based on survival, then isolating the biomarkers necessary for predicting these survival subgroups. Methods: RNA was extracted from tissue paraffin blocks from 379 R-CHOP treated patients with de novo DLBCL, and from 247 patients with extranodal DLBCL. A targeted hybrid capture RNA panel of 1408 genes was used for next generation sequencing (NGS). Sequencing was performed using an Illumina NextSeq 550 System platform. Ten million reads per sample in a single run were required, and the read length was 2 × 150 bp. An expression profile was generated from the sequencing coverage profile of each individual sample using Cufflinks. A machine learning system was developed to classify patients into four groups based on their overall survival. This machine learning approach based on Naïve Bayesian algorithm was also used to discover the relevant subset of genes with which to classify patients into each of the four survival groups. To eliminate the underflow problem commonly associated with the standard Naïve Bayesian classifiers, we applied Geometric Mean Naïve Bayesian (GMNB) as the classifier to predict the survival group for each patient. Results: Using machine learning, patients were first divided into two groups: short survival (S) and long survival (L). To refine this model, we used the same approach and divided the patients in each group into two subgroups, generating four groups: long survival in the long group (LL), short survival in the long group (LS), long survival in the short group (SL), and short survival in the short group (SS). The hazard ratio for this model was 0.174 (confidence interval: 0.120-0.251), and P-value &lt;0.0001. After defining these four groups, a machine learning algorithm was used to discover the biomarkers from the expression data of the 1408 genes from NGS data. To reduce the effects of noise and avoid overfitting, we employed a 12-step cross validation to obtain a robust measure. For an individual gene, a generalized Naïve Bayesian classifier was constructed on the training of one of the 12 subsets and tested on the other 11 testing subsets. This allowed us to limit the prediction process to 60 genes for each separation step. Using the selected biomarkers, we classified the patients in the original set (379 patients) into LL, LS, SL, and SS groups and then evaluated the survival pattern of these groups. As shown in Fig. 1A, the selected biomarkers predicted survival as expected in the overall survival groups prior to biomarker selection. For additional validation of the system, we used the selected biomarkers to classify a completely new set of 247 samples of patients with extranodal DLBCL. As shown in Fig. 1B, these selected biomarkers successfully predicted the overall survival in this group of patients with an HR of 0.530 (confidence interval: 0.234-1.197, P=0.005). This classification correlated with cell of origin classification, TP53 mutation status, MYC expression, and IRF4 expression. However, in a multivariate analysis, only TP53 mutation was independent in predicting prognosis (P=0.005) and age (below or over 60) (P=0.01) along with the survival grouping (P&lt;0.000001). Conclusions: Using a novel machine learning approach with the expression levels of 180 genes, we developed a model that can reliably stratify patients with DLBCL treated with R-CHOP into four survival subgroups. This model can be used to identify patients who may not respond well to R-CHOP to be considered for alternative therapy and clinical trials. Figure 1 Figure 1. Disclosures Hsi: AbbVie Inc, Eli Lilly: Research Funding. Ferreri: Ospedale San Raffaele srl: Patents & Royalties; BMS: Research Funding; Pfizer: Research Funding; Beigene: Research Funding; Hutchison Medipharma: Research Funding; Amgen: Research Funding; Genmab: Research Funding; ADC Therapeutics: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; PletixaPharm: Membership on an entity's Board of Directors or advisory committees; x Incyte: Membership on an entity's Board of Directors or advisory committees; Adienne: Membership on an entity's Board of Directors or advisory committees. Piris: Millenium/Takeda, EUSA, Jansen, NanoString, Kyowa Kirin, Gilead and Celgene.: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Winter: BMS: Other: Husband: Data and Safety Monitoring Board; Actinium Pharma: Consultancy; Janssen: Other: Husband: Consultancy; Agios: Other: Husband: Consultancy; Gilead: Other: Husband: Consultancy; Epizyme: Other: Husband: Data and Safety Monitoring Board; Ariad/Takeda: Other: Husband: Data and Safety Monitoring Board; Merck: Consultancy, Honoraria, Research Funding; Novartis: Other: Husband: Consultancy, Data and Safety Monitoring Board; Karyopharm (Curio Science): Honoraria.

Abstract Background: BCL-2 inhibition with venetoclax has proved to be highly effective treatment for patients with CLL. However, when administered to patients with CLL who have a high tumor burden, venetoclax is associated with an elevated risk of tumor lysis syndrome (TLS). Because of this risk, venetoclax is initiated with a gradual, 5-week dose ramp-up, requiring close laboratory monitoring over an extended period. Lisaftoclax (APG-2575) is a novel, potent, selective BCL-2 inhibitor under clinical development for hematologic malignancies (HMs). Preliminary data in 18 patients with CLL treated in a first-in-human study suggested the feasibility of an abbreviated ramp-up of lisaftoclax that might also result in a lower incidence of neutropenia (Ailawadhi et al, J Clin Oncol 39, 2021; abstr 7502). Methods: This new study is a global, open-label, multicenter, two-part phase 1b dose escalation and dose expansion study to assess the safety and tolerability of lisaftoclax (Part 1) and lisaftoclax combined with rituximab or acalabrutinib (Part 2), including dose-limiting toxicity (DLT) and maximum tolerated dose (MTD). The trial is enrolling adults with (1) histologically confirmed CLL/SLL (by 2018 iwCLL criteria) that is relapsed or refractory to ≥ 1 prior therapy and requires treatment (also by 2018 iwCLL criteria); (2) adequate bone marrow function (in the absence of growth factors), including absolute neutrophils ≥ 1.0 × 10 9/L in patients without bone marrow involvement (not required in CLL/SLL patients with bone marrow involvement); and (3) adequate renal and hepatic function. Exclusion criteria: (1) recent history of allogeneic stem cell transplantation or CAR T-cell therapy (&lt; 90 days); (2) prior treatment with a BCL-2 inhibitor (unless patient discontinued such therapy without disease progression); (3) treatment with vitamin K anticoagulants or previous discontinuation of treatment due to acalabrutinib toxicity (in acalabrutinib plus lisaftoclax cohort); (4) active Richter's syndrome; (5) infection (e.g. HIV, hepatitis); (6) CNS involvement; (7) prior cancer that has recurred within 2 years of screening and requires treatment (apart from adequately treated cervical or breast carcinoma in situ); (8) uncontrolled and other serious concomitant illnesses, including cardiovascular disease and diabetes; (9) failure to recover adequately after surgical procedures; and (10) active graft-vs-host disease or a requirement for immunosuppressive treatment. In a standard "3+3" dose escalation design (Part 1), lisaftoclax is being administered orally once daily in a 28-day cycle, with full doses of 200 to 1,200 mg (by 200-mg increments at 4 dose levels (400, 600, 800, and 1,000 mg) in parallel. The ramp-up is performed in the hospital with close monitoring for TLS and consists of the following doses and days of lisaftoclax treatment: 20 mg on Day 1, 50 mg on Day 2, 100 mg on Day 3, 200 mg on Day 4, 400 mg on Day 5, 600 mg on Day 6, 800 mg on Day 7, and 1,000 mg on Day 8. Patients who experience TLS on any of these days have their dose held until resolution of TLS before proceeding to the next dose. Part 2 includes a further standard 3+3 dose escalation of lisaftoclax combined with rituximab or acalabrutinib (in separate cohorts), with a further planned dose expansion at recommended phase 2 doses of these combination regimens. Primary outcome measures are (1) DLTs observed during cycle 1; and (2) MTD (measured over the same interval). DLT criteria are defined as grade 4 thrombocytopenia or neutropenia lasting &gt; 7 days, grade 3 ≥ thrombocytopenia with bleeding, grade 4 febrile neutropenia, or grade 3 ≥ non-hematologic toxicities. As of July 19, 2021, 71 patients have been enrolled (of 144 planned). Clinicaltrial.gov identifier: NCT04215809. Disclosures Davids: Ascentage Pharma: Consultancy, Research Funding; Astra-Zeneca: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; MEI Pharma: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; TG Therapeutics: Consultancy, Research Funding; Verastem: Consultancy, Research Funding; Surface Oncology: Research Funding; AbbVie: Consultancy; Adaptive Biotechnologies: Consultancy; BeiGene: Consultancy; Celgene: Consultancy; Eli Lilly and Company: Consultancy; Janssen: Consultancy; MEI Pharma: Consultancy; Merck: Consultancy; Research to Practice: Consultancy; Takeda: Consultancy. Siddiqi: Kite Pharma: Membership on an entity's Board of Directors or advisory committees; Juno therapeutics: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BeiGene: Other: DSM Member, Speakers Bureau; PCYC: Speakers Bureau; Jannsen: Speakers Bureau; Dava Oncology: Honoraria; ResearchToPractice: Honoraria. Pagel: Gilead: Consultancy; AstraZeneca: Consultancy; BeiGene: Consultancy; Incyte/MorphoSys: Consultancy; Epizyme: Consultancy; Kite, a Gilead Company: Consultancy; Actinium Pharmaceuticals: Consultancy; MEI Pharma: Consultancy; Pharmacyclics/AbbVie: Consultancy. Pylypenko: Communal nonprofit enterprise "Cherkasy regional oncology dispensary of Cherkasy oblast council: Current Employment. Kriachok: Takeda, Roche, Abbivie, Janssen, MSD: Consultancy; Takeda, Roche, Abbvie, Janssen, MSD, Pfizer: Honoraria, Speakers Bureau. Usenko: Abbvie: Honoraria; Acerta: Honoraria; Ascentage: Honoraria; AstraZeneca: Honoraria; Celgene: Honoraria; Il Yang: Honoraria; Janssen: Honoraria; Karyopharm: Honoraria; Oncopeptides: Honoraria; Rigel: Honoraria; Takeda: Honoraria; UCB: Honoraria. Chen: Ascentage Pharma (Suzhou) Co., Ltd: Current Employment, Current equity holder in publicly-traded company. Huang: Ascentage Pharma (Suzhou) Co., Ltd.: Current Employment, Current equity holder in publicly-traded company. Li: Ascentage Pharma (Suzhou) Co., Ltd.: Current Employment, Current equity holder in publicly-traded company. Ahmad: Ascentage Pharma Group Inc.: Current Employment, Current equity holder in publicly-traded company. Mudenda: Ascentage Pharma Group Inc.: Current Employment, Current equity holder in publicly-traded company. Yang: Ascentage Pharma (Suzhou) Co., Ltd: Current Employment, Current equity holder in publicly-traded company, Other: Leadership and other ownership interests, Patents & Royalties, Research Funding. Zhai: Ascentage Pharma (Suzhou) Co., Ltd.: Current Employment, Current equity holder in publicly-traded company, Other: Leadership and other ownership interests, Patents & Royalties, Research Funding; Ascentage Pharma Group Inc.: Current Employment, Current equity holder in publicly-traded company, Other: Leadership and other ownership interests, Patents & Royalties, Research Funding.

AbstractAimsWe evaluated the occurrence and physiology of respiration‐related beat‐to‐beat variations in resting Pd/Pa and FFR during intravenous adenosine administration, and its impact on clinical decision‐making.Methods and ResultsCoronary pressure tracings in rest and at plateau hyperemia were analyzed in a total of 39 stenosis from 37 patients, and respiratory rate was calculated with ECG‐derived respiration (EDR) in 26 stenoses from 26 patients. Beat‐to‐beat variations in FFR occurred in a cyclical fashion and were strongly correlated with respiratory rate (R2 = 0.757, p < 0.001). There was no correlation between respiratory rate and variations in resting Pd/Pa. When single‐beat averages were used to calculate FFR, mean ΔFFR was 0.04 ± 0.02. With averaging of FFR over three or five cardiac cycles, mean ΔFFR decreased to 0.02 ± 0.02, and 0.01 ± 0.01, respectively. Using a FFR ≤ 0.80 threshold, stenosis classification changed in 20.5% (8/39), 12.8% (5/39) and 5.1% (2/39) for single‐beat, three‐beat and five‐beat averaged FFR. The impact of respiration was more pronounced in patients with pulmonary disease (ΔFFR 0.05 ± 0.02 vs 0.03 ± 0.02, p = 0.021).ConclusionBeat‐to‐beat variations in FFR during plateau hyperemia related to respiration are common, of clinically relevant magnitude, and frequently lead FFR to cross treatment thresholds. A five‐beat averaged FFR, overcomes clinically relevant impact of FFR variation.