Citations

Objective: To analyze insulin delivery and glycemic metrics throughout the menstrual cycle for women with type 1 diabetes using closed loop control (CLC) insulin delivery. Methods: Menstruating women using a CLC system in a clinical trial were invited to record their menstrual cycles through a cycle-tracking application. Sixteen participants provided data for this secondary analysis over three or more complete cycles. Insulin delivery and continuous glucose monitoring (CGM) data were analyzed in relation to reported cycle phases. Results: Insulin delivery and CGM metrics remained consistent during cycle phases. Intraparticipant variability of CGM metrics and weight-based insulin delivery did not change through cycle phases. Conclusions: For this sample of menstruating women with type 1 diabetes using a CLC system, insulin delivery and glycemic metrics remained stable throughout menstrual cycle phases. Additional studies in this population are needed, particularly among women who report variable glycemic control during their cycles. Trial Registration: NCT03591354.

AbstractBackgroundHistologic acute graft pyelonephritis (HAGPN) after kidney transplantation (KT) has been assessed less frequently than urinary tract infections (UTIs) or clinical acute graft pyelonephritis. Risk factors for HAGPN, its association with graft loss, and measures that might prevent it are not known.MethodsWe performed a retrospective review of HAGPN cases identified from KT occurring between January 2008 and December 2017 at our institution. We compared the HAGPN cases to a randomly selected control group of KTs to identify risk factors using univariate and multivariate Cox regression models. The association between HAGPN and graft loss was also assessed, similarly.ResultsHAGPN was identified in 46 of 1391 patients (cumulative incidence, 5% [95% CI, 3%–7%]) undergoing KT at a single center from January 2008 through December 2017 (median time to diagnosis, 241 days after KT; interquartile range, 122–755 days). Indications for biopsy were follow‐up of treated rejection (n = 20 [43%]), KT protocol biopsy (n = 19 [41%]), and acute kidney injury (n = 7 [15%]). Histologic rejection, UTI, and asymptomatic bacteriuria (ASB) were present in 23 (50%), 9 (20%), and 16 (35%). Multivariate Cox proportional hazards models comparing KT recipients with or without HAGPN (n = 46 and n = 138, respectively) showed that HAGPN was associated with urologic complication by day 30, delayed graft function, previous UTI or ASB, and a history of rejection. In the univariate and multivariate analyses, HAGPN was associated with an increased risk of graft loss.ConclusionHAGPN is an infrequent, unanticipated, and clinically significant complication of KT.

344 Background: ICI with anti-PD-1 therapy was approved by the US FDA as 1st/2nd-line treatment of advanced GEC regardless of PD-L1 status. It is argued that patients (pts) with PD-L1-low GEC do not benefit from ICI. To avoid spurious exclusion of pts, we systematically reviewed phase 3 trials to assess the magnitude and consistency of PD-L1 to predict benefit from ICI. We also examined other potential predictive factors to understand their magnitude and consistency in comparison with PD-L1 status. Methods: MEDLINE, Embase, Scopus, Web of Science, and Cochrane Central Register were searched for all randomized clinical trials (RCT; 2000-2021) in advanced GEC comparing ICI, alone or with chemotherapy, vs standard of care (SOC). The primary endpoint was overall survival (OS). Study screening, data abstraction, and bias assessment were done independently by two reviewers per PRISMA guidelines. The mean HR for ICI vs SOC was calculated by random effects model. The predictive value of a factor was quantified using relative magnitude and consistency (table). Results: 14 RCTs at low risk of bias were included (N = 9,210 pts; KN62, CM649, CM648, ESCORT1st, KN590, ATT4, JAV100, KN181, KN61, ATT3, ESCORT, RATIONALE302, JAV300, ATT2). 6 trials were 1st-line, 8 were after 1st-line. Treatment comparisons were ICI + chemo vs chemo (6 trials), ICI vs chemo (9 trials), and ICI vs placebo (1 trial). ICI was always anti-PD-1/-L1 (1 trial also had anti-CTLA-4). Table shows primary results. To enable head to head comparisons, subgroup analyses of trials containing both levels of a factor or having similar design were done and generally yielded consistent results. Conclusions: PD-L1 CPS is the strongest predictive biomarker, after MSI, for OS benefit from ICI-containing therapy vs SOC. Additional research on gender is warranted.[Table: see text]

Cell surface receptors control how cells respond to their environment. Many cell surface receptors recycle from endosomes to the plasma membrane via a recently discovered pathway, which includes sorting-nexin SNX17, Retriever, WASH, and CCC complexes. Here, using mammalian cells, we discover that PIKfyve and its upstream PI3-kinase VPS34 positively regulate this pathway. VPS34 produces phosphatidylinositol 3-phosphate (PI3P), which is the substrate for PIKfyve to generate PI3,5P 2 . We show that PIKfyve controls recycling of cargoes including integrins, receptors that control cell migration. Furthermore, endogenous PIKfyve colocalizes with SNX17, Retriever, WASH, and CCC complexes on endosomes. Importantly, PIKfyve inhibition results in displacement of Retriever and CCC from endosomes. In addition, we show that recruitment of SNX17 is an early step and requires VPS34. These discoveries suggest that VPS34 and PIKfyve coordinate an ordered pathway to regulate recycling from endosomes and suggest how PIKfyve functions in cell migration.

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.

Abstract Background The majority of human antimicrobial utilization occurs in the outpatient setting. Despite being mainly viral in etiology, upper respiratory tract infections (URIs) were the most common indication for outpatient antimicrobial prescriptions at our institution. Methods Through our electronic health record (EHR), we were able to determine our rate of antibiotic prescriptions for inappropriate URI diagnosis at our primary care practice sites. We selected staff volunteers from each our primary care practice sites to serve as stewardship champions. They were given training in stewardship best practices, and an URI stewardship toolkit which included viral URI prescription pad, EHR order panel, and patient education signage. They were tasked with providing education and feedback to their practice sites. We meet with them on a monthly basis to disseminate prescribing data and education. They also provided feedback from practice sites to the stewardship committee. Results Our decentralized model was put in place in November 2020. In the 6 months prior to the intervention, the average prescribing rate was 29.1%. In the 6 months after the intervention, the average prescribing rate decreased by 15% to 24.8%. During the intervention phase, there was an increase in number of non-COVID URIs diagnosed at our primary care sites. Temporal Trend in Inappropriate Antibiotics Prescribing Rates for Viral URIs Pre- and Post- Intervention Inappropriate antibiotic prescribing rate for viral upper respiratory tract infections from May 2020 until May 2021. Intervention started in December 2021 (arrow). Pre-intervention average was 29.1%. Post-intervention age was 24.8% which is a 15% decline in prescribing rate. Viral Upper Respiratory Infections Visits The total number of visits for presumed viral upper respiratory infections to primary care sites from May 2020 until May 2021. The majority of COVID-19 precautions in the area expired at the end of March 2021. Conclusion We have been able to lower our inappropriate prescriptions for URIs utilizing a decentralized model of stewardship champions. This result was especially notable as the intervention phase corresponded with the end of COVID-19 precautions and an increase in non-COVID URIs diagnosed. The advantage of this approach includes an advocate embedded at each practice site who is familiar with the opportunities and challenges of the site, and a two-way flow of information from practice sites to the stewardship committee. This model provided additional benefit during the COVID-19 pandemic as the ability of centralized staff to travel to off campus clinic sites was curtailed. Disclosures All Authors: No reported disclosures