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ObjectiveThe ADVOCATE trial demonstrated that treatment of active granulomatosis with polyangiitis (GPA) and microscopic polyangiitis (MPA) with avacopan was noninferior in achieving remission at week 26 and superior for sustained remission at week 52 compared with a prednisone taper. This analysis of ADVOCATE evaluated the efficacy and safety of avacopan in patients with ear, nose, throat (ENT), or lung manifestations.MethodsThis post hoc analysis included patients enrolled in ADVOCATE with ENT or lung manifestations at baseline. Outcomes included remission at weeks 26 and 52, respiratory tract manifestations over time, relapse rate, glucocorticoid‐related toxicity, health‐related quality of life (HRQoL), and safety.ResultsADVOCATE included 144 patients with ENT manifestations (avacopan: n = 75, prednisone taper: n = 69) and 142 with lung manifestations (avacopan: n = 71, prednisone taper: n = 71). Among patients with ENT manifestations, remission was achieved at week 26 by 72.0% (avacopan group) and 71.0% (prednisone taper group) and was sustained at week 52 by 62.7% (avacopan) and 53.6% (prednisone taper). Among patients with lung manifestations, remission was achieved at week 26 by 73.2% (avacopan) and 66.2% (prednisone taper) and sustained at week 52 by 67.6% (avacopan) and 53.5% (prednisone taper). The relapse rate, glucocorticoid toxicity, and measures of HRQoL favored avacopan for both respiratory tract manifestation groups. Safety was comparable across treatment groups.ConclusionPatients with GPA or MPA with ENT or lung manifestations demonstrated similar responses to avacopan, reflecting results reported in the overall ADVOCATE trial population and supporting the administration of avacopan in these subgroups.

AbstractBackgroundThe immune system is substantially involved in the development and progression of age‐related cognitive decline and Alzheimer’s disease (AD).MethodAs genetic and environmental factors interactively impact these conditions, we investigated how risk factors such as APOE genotype, age, and sex influence immune activation markers and AD biomarkers in cerebrospinal fluid (CSF) in elderly individuals enrolled in the Mayo Clinic Study of Aging cohort. Among cognitively unimpaired individuals aged over 65 at the baseline visit (N=298), we measured 365 CSF immune activation markers using the proximity extension assay.ResultWe found that age, sex, and diabetes status are associated with altered CSF levels of immune activation markers independently of other factors. For CSF AD biomarkers, we observed significant positive correlations between age and total tau, phosphorylated tau‐181 (p‐tau181), neurofilament light (NfL), and YKL40. APOE4 was also associated with lower Aβ42 and higher SNAP25 in CSF. We further examined whether baseline visit variables can predict cognitive decline, represented by the conversion from CDR=0 to CDR>0. We found that age, Aβ42, NfL, and REG4 were independently correlated with CDR conversion risk. When the cohort was dichotomized by their median values, older participants with lower Aβ42, higher NfL, and higher REG4 at baseline developed cognitive impairment during the follow up with a c‐index of 0.762 while age alone had a c‐index of 0.699.ConclusionTogether, our results suggest that assessing CSF immune activation markers and AD biomarkers can improve the prediction of cognitive impairment risk in the elderly.

AbstractBackgroundThe immune system is substantially involved in the development and progression of age‐related cognitive decline and Alzheimer’s disease (AD).MethodAs genetic and environmental factors interactively impact these conditions, we investigated how risk factors such as APOE genotype, age, and sex influence immune activation markers and AD biomarkers in cerebrospinal fluid (CSF) in elderly individuals enrolled in the Mayo Clinic Study of Aging cohort. Among cognitively unimpaired individuals aged over 65 at the baseline visit (N=298), we measured 365 CSF immune activation markers using the proximity extension assay.ResultWe found that age, sex, and diabetes status are associated with altered CSF levels of immune activation markers independently of other factors. For CSF AD biomarkers, we observed significant positive correlations between age and total tau, phosphorylated tau‐181 (p‐tau181), neurofilament light (NfL), and YKL40. APOE4 was also associated with lower Aß42 and higher SNAP25 in CSF. We further examined whether baseline visit variables can predict cognitive decline, represented by the conversion from CDR=0 to CDR>0. We found that age, Aß42, NfL, and REG4 were independently correlated with CDR conversion risk. When the cohort was dichotomized by their median values, older participants with lower Aß42, higher NfL, and higher REG4 at baseline developed cognitive impairment during the follow up with a c‐index of 0.762 while age alone had a c‐index of 0.699.ConclusionTogether, our results suggest that assessing CSF immune activation markers and AD biomarkers can improve the prediction of cognitive impairment risk in the elderly.

Background: Chemotherapy-induced peripheral neuropathy (CIPN) from oxaliplatin and taxane drugs is a bothersome toxicity. Palmitoylethanolamide (PEA) has been reported to improve myelinated nerve fiber function in patients experiencing painful CIPN. We conducted a double-blind, placebo-controlled, randomized trial of PEA in patients with established CIPN. Methods: Eligible patients were adults who had pain, numbness, tingling, or other symptoms of CIPN for at least three months following completion of paclitaxel, oxaliplatin, or cisplatin-based chemotherapy. Study patients were randomized to one of the two treatment groups (PEA versus placebo, both administered either once or twice daily). The CIPN20 questionnaire was assessed weekly. Results: A total of 17 males and 71 females participated in the study; most had neuropathy from paclitaxel. Most (85%) finished 8 weeks of treatment. There was no suggestion that either of the PEA arms did any better than the combined placebo arms. There was no signal of significant toxicity differences between the three study arms. Quality of life outcome measures were similar between the study arms, as were cognitive function evaluations. Discussion: PEA failed to improve established CIPN. Future trials might explore whether PEA may be effective in preventing CIPN or cognitive changes based on data that suggest it may be helpful in this situation. Conclusions: PEA failed to improve established chemotherapy-induced neuropathy.

Background. Study of myeloid neoplasms (MN) has been rapidly transformed by genome characterization. Gene mutations have been reported to influence disease phenotype and risk of disease progression, and the evaluation of mutational status can provide valuable insights to improve the decision-making process. In this international study, we evaluated the clinical impact of mutational screening in patients with CMML, which is characterized by significant clinical and genomic heterogeneity, including a substantial proportion of patients with poor outcomes and unmet needs. Currently, only limited molecular information has been incorporated into CMML classification and prognostication. Methods. We retrospectively collected 3182 CMML patients. We used MOSAIC, an AI-based framework for multimodal analysis in rare cancers (PMID: 38875514) to develop innovative, molecular-based tools for classification and prognostication. An independent validation of the results on 516 prospectively collected patients was performed. Results. Bayesian Networs and Hierarchical Dirichlet Processes were used to identify genomic associations and define a CMML molecular classification. We identified 11 clusters with distinct clinical and genomic features, including splicing machinery, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures (i.e., AML-like and TP53 mutations). Up to 15% of patients showed clear genomic overlap with other MN. Importantly, extensive multi-color flow cytometry on T lymphocytes, NK and myeloid cells (BD FACSymphony A5 Cell Analyzer) revealed specific immunologic and inflammation signatures associated with molecular subgroups. We then integrated molecular and clinical information to build an international CMML Prognostic Scoring System (iCPSS). We assessed the performance of different statistical and AI-based methods; L1-penalized Cox Model resulted as the best performing method. Selected features included hematological parameters (WBC, Hb, PLT and marrow blasts), cytogenetic abnormalities, and mutations in 10 genes (ASXL1, DNMT3A, EZH2, NRAS, RUNX1, SETBP1, STAG2, TET2, TP53, U2AF1). By Bayesian thresholds optimization, we identified 5 risk classes (i.e., very-low, low, intermediate, high and very-high) with median overall survival (OS) ranging from 99 to 9 months (P<.001), and median leukemia-free survival (LFS) ranging from 210 to 18 months (P<.001). iCPSS provided better patient discrimination across all clinical endpoints compared to currently available prognostic tools, with a Concordance Index (CI) for OS of 0.75 versus 0.62-0.64, respectively. Notably, compared to available scoring systems, up to 40% of patients were reassigned to higher or lower risk classes by the iCPSS. External validation on an independent prospective cohort confirmed that the performance of iCPSS is superior to existing prognostic models (CI for OS 0.71 vs 0.54-0.61, respectively) To demonstrate the clinical utility of iCPSS, we focused on 753 patients who underwent allogeneic stem cell transplantation (HSCT). In multivariable analysis, iCPSS stratified the probability of OS post-HSCT (P<.001) and identified groups of patients with different probabilities of disease relapse, ranging from 9% to 62% (P<.001). We employed a clinical- and genomic-based decision support system (PMID: 38723212) to determine the optimal timing of HSCT. Preliminary analyses indicated that higher-risk patients according to iCPSS (i.e., intermediate, high, and very high) benefit from an immediate HSCT strategy. Lower-risk patients (i.e., very low and low) had life expectancy maximized with delayed HSCT. Modeling decision analysis using iCPSS compared to conventional scores, resulted in a change in transplantation policy for a significant proportion of patients (up to 25%). Conclusion. Molecular information significantly improves the classification of CMML patients, providing a basis for refining diagnostic boundaries with other MN and for a more rational inclusion of patients in clinical trials. The iCPSS demonstrated superior performance over currently available scoring systems and improved HSCT decision making process.

Abstract Objective To assess the association of aPL and diffuse alveolar haemorrhage (DAH) in patients with SLE by performing a systematic review and meta-analysis. Methods Multiple databases were systematically searched from inception to February 2024. Studies were eligible if they included patients with SLE (population), reported aPL status (exposure), and DAH (outcome). We pooled the estimates as odds ratio (OR) using fixed-effect models. We examined the association between aPL and DAH, as well as associations based on aPL subtypes or concomitant APS. Results Out of 454 screened studies, nine were included in meta-analysis, encompassing 7746 patients with SLE, of whom 2016 (26.0%) were aPL-positive and 163 (2.1%) had DAH. Patients with SLE and positive aPL (any) were more likely to develop DAH than aPL-negative patients (OR = 1.76, 95% CI 1.24–2.49; I2 = 0%). Patients with SLE and positive LA (OR = 1.76, 95% CI 1.06–2.93, I2 = 35%) or positive anticardiolipin IgG (OR = 1.62, 95% CI 1.13–2.34, I2 = 0%) had a higher likelihood of developing DAH compared with patients that were negative for these aPL. An APS diagnosis was associated with a 2.5-fold increased likelihood of DAH compared with subjects without APS (OR = 2.46, 95% CI 1.23–4.92, I2 = 0%). Positivity of anti-β2 glycoprotein I IgG was not significantly associated with DAH among patients with SLE (OR = 0.78, 95% CI 0.45–1.36, I2 = 0%). Conclusion In patients with SLE, aPL positivity increases the risk of DAH compared with aPL-negative patients, particularly in those positive for LA and anticardiolipin IgG.

BACKGROUND: Percutaneous microaxial ventricular assist devices (pVADs) have the potential to reduce mortality of patients with cardiogenic shock (CS). However, the association between the distribution of pVAD-performing centers and outcomes of CS has not been explored. METHODS: This observational study included Medicare fee-for-service beneficiaries aged 65 to 99 years treated with pVAD for CS from 2016 to 2020. It examined the associations between patient outcomes and 2 exposure variables: hospitals’ procedure volumes of pVAD and patient-hospital distances (in quintiles [Qn]). We developed Cox proportional hazards regression for 180-day mortality and heart failure readmission rates, and multivariable logistic regression for in-hospital outcomes, adjusting for patient demographics, comorbidities, concomitant treatments, and hospital characteristics, including CS volume, teaching status, and the ability to perform extracorporeal membrane oxygenation. RESULTS: A total of 6637 patients with CS underwent pVAD at 1041 hospitals, with the annualized hospital volume ranging widely from 0.3 to 55.6 cases/year. Patients treated at higher-volume centers experienced lower 180-day mortality compared with those treated at lower-volume centers (Qn1=reference; Qn2: adjusted hazard ratio [aHR], 0.88 [95% CI, 0.79–0.97]; Qn3: aHR, 0.88 [95% CI, 0.79–0.98]; Qn4: aHR, 0.88 [95% CI, 0.78–0.99]; Qn5: aHR, 0.84 [95% CI, 0.74–0.95]; P for trend, 0.026), while we found no evidence that patient-hospital distances were associated with mortality (Qn1=reference; Qn2: aHR, 0.99 [95% CI, 0.89–1.09]; Qn3: aHR, 0.94 [95% CI, 0.85–1.04]; Qn4: aHR, 1.01 [95% CI, 0.92–1.11]; Qn5: aHR, 0.91 [95% CI, 0.82–1.01]; P for trend, 0.160). We found no evidence that the hospital volume and patient-hospital distances were associated with in-hospital bleeding, intracranial hemorrhage, or renal replacement therapy initiation. CONCLUSIONS: Hospital volume was more strongly associated with mortality than patient-hospital distances, suggesting that rational distribution of pVAD-performing centers while ensuring adequate procedure volumes may optimize patient mortality.

Abstract Background: Epidemiological and laboratory-based studies have provided conflicting evidence for a role of ghrelin in colorectal cancer development. We conducted two-sample Mendelian randomization (MR) analyses to evaluate evidence for an association of circulating ghrelin and colorectal cancer risk overall and by sex, cancer subsite, and age at diagnosis. Methods: Genetic instruments proxying plasma total ghrelin levels were obtained from a recent genome-wide association study of 54,219 participants. Summary data for colorectal cancer risk were obtained from a recent meta-analysis of several genetic consortia (up to 73,673 cases and 86,854 controls). A two-sample MR approach and several sensitivity analyses were applied. Results: We found no evidence for an association of genetically predicted plasma total ghrelin levels and colorectal cancer risk (0.95, 95% confidence interval, 0.81–1.12; R2 of ghrelin genetic instruments: 4.6%), with similarly null results observed when stratified by sex, anatomical subsite, and for early-onset colorectal cancer. Conclusions: Our study suggests that plasma ghrelin levels are unlikely to have a causal relationship with overall, early-onset, and sex- and cancer subsite–stratified colorectal cancer risk. Impact: This large-scale analysis adds to the growing body of evidence that plasma total ghrelin levels are not associated with colorectal cancer risk.