Citations

ObjectiveTo compare the diagnostic performance of an artificial intelligence deep learning system with that of expert neuro‐ophthalmologists in classifying optic disc appearance.MethodsThe deep learning system was previously trained and validated on 14,341 ocular fundus photographs from 19 international centers. The performance of the system was evaluated on 800 new fundus photographs (400 normal optic discs, 201 papilledema [disc edema from elevated intracranial pressure], 199 other optic disc abnormalities) and compared with that of 2 expert neuro‐ophthalmologists who independently reviewed the same randomly presented images without clinical information. Area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were calculated.ResultsThe system correctly classified 678 of 800 (84.7%) photographs, compared with 675 of 800 (84.4%) for Expert 1 and 641 of 800 (80.1%) for Expert 2. The system yielded areas under the receiver operating characteristic curve of 0.97 (95% confidence interval [CI] = 0.96–0.98), 0.96 (95% CI = 0.94–0.97), and 0.89 (95% CI = 0.87–0.92) for the detection of normal discs, papilledema, and other disc abnormalities, respectively. The accuracy, sensitivity, and specificity of the system's classification of optic discs were similar to or better than the 2 experts. Intergrader agreement at the eye level was 0.71 (95% CI = 0.67–0.76) between Expert 1 and Expert 2, 0.72 (95% CI = 0.68–0.76) between the system and Expert 1, and 0.65 (95% CI = 0.61–0.70) between the system and Expert 2.InterpretationThe performance of this deep learning system at classifying optic disc abnormalities was at least as good as 2 expert neuro‐ophthalmologists. Future prospective studies are needed to validate this system as a diagnostic aid in relevant clinical settings. ANN NEUROL 2020;88:785–795

Background: Brugada syndrome (BrS) is an oligogenic arrhythmic disease with increased risk of sudden cardiac arrest. Several BrS or ECG traits-related single-nucleotide polymorphisms (SNPs) were identified through previous genome-wide association studies in white patients. We aimed to validate these SNPs in BrS patients in the Taiwanese population, assessing the cumulative effect of risk alleles and the BrS-polygenic risk score in predicting cardiac events. Methods: We genotyped 190 unrelated BrS patients using the TWB Array, and Taiwan Biobank was used as controls. SNPs not included in the array were imputed by IMPUTE2. Cox proportional hazards model was used to evaluate the associations between each particular SNP, the collective BrS-polygenic risk score, and clinical outcomes. Results: Of the 88 previously reported SNPs, 22 were validated in Taiwanese BrS patients ( P <0.05). Of the 22 SNPs, 2 (rs10428132 and rs9388451) were linked with susceptibility to BrS, 10 were SNPs previously reaching genome-wide significance, and 10 were SNPs associated with ECG traits. For the 3 most commonly reported SNPs, disease risk increased consistently with the number of risk alleles (odds ratio, 3.54; P trend =1.38×10 −9 for 5 risk alleles versus 1). Similar patterns were observed in both SCN5A mutation+ (odds ratio, 3.66; P trend =0.049) and SCN5A mutation− (odds ratio, 3.75; P trend =8.54×10 −9 ) subgroups. Furthermore, BrS patients without SCN5A mutations had more risk alleles than BrS patients with SCN5A mutations regardless of the range of polygenic risk scores. Three SNPs (rs4687718, rs7784776, and rs2968863) showed significant associations with the composite outcome (sudden cardiac arrest plus syncope, hazard ratio, 2.13, 1.48, and 0.41; P =0.02, 0.006, and 0.008, respectively). Conclusions: Our findings suggested that some SNPs associated with BrS or ECG traits exist across multiple populations. The cumulative risk of the BrS-related SNPs is similar to that in white BrS patients, but it appears to correlate with the absence of SCN5A mutations.

Purpose: Multiple myeloma (MM) treatment has changed tremendously, with significant improvement in patient out-comes. One group with a suboptimal benefit is patients with high-risk cytogenetics, as tested by conventional karyotyping or fluorescence in situ hybridization (FISH). Methodology for these tests has been published, but not necessarily standardized. Methods: We address variability in the testing and reporting methodology for MM cytogenetics in the United States using the ongoing African American Multiple Myeloma Study (AAMMS). We evaluated clinical and cytogenetic data from 1,221 patients (1,161 with conventional karyotyping and 976 with FISH) tested between 1998 and 2016 across 58 laboratories nationwide. Results: Interlab and intralab variability was noted for the number of cells analyzed for karyotyping, with a significantly higher number of cells analyzed in patients in whom cytogenetics were normal (P 5.0025). For FISH testing, CD138-positive cell enrichment was used in 29.7% of patients and no enrichment in 50% of patients, whereas the remainder had unknown status. A significantly smaller number of cells was analyzed for patients in which CD138 cell enrichment was used compared with those without such enrichment (median, 50 v 200; P, .0001). A median of 7 loci probes (range, 1-16) were used for FISH testing across all laboratories, with variability in the loci probed even within a given laboratory. Chromosome 13–related abnormalities were the most frequently tested abnormality (n5956; 97.9%), and t(14;16) was the least frequently tested abnormality (n 5 119; 12.2%). Conclusions: We report significant variability in cytogenetic testing across the United States for MM, potentially leading to variability in risk stratification, with possible clinical implications and personalized treatment approaches.

e20057 Background: T-cell lymphomas (TCL) are a heterogeneous group of rare, but aggressive non-Hodgkin lymphomas. CD4+ and CD8+ T-cell function plays a vital role in the immunologic response to P.jirovecii infection. Our study aims to define the prevalence of Pneumocystis jirovecii pneumonia (PJP) in HIV-uninfected TCL patients. Methods: All patients at Mayo Clinic, Rochester MN diagnosed with TCL and a positive Pneumocystis PCR assay from either bronchoalveolar lavage (BAL) fluid or other respiratory specimens were identified from March 2005 until November 2019. Patients with TCL and a diagnosis of PJP made outside of our medical center were identified through Advanced Cohort Explorer, a query building tool. Results: A total of 922 patients with TCL were identified, and only 14 cases (1.5%) had confirmed PJP. In confirmed PJP cases, the median age of TCL diagnosis was 62 years (IQR 51-70 years), 79% were male, and the median number of chemotherapy lines was 1.5 (IQR of 1-3). Half of the cases (6/12) received CHOP as first-line of therapy, followed by CHOEP (25%, 3/12). The median time to PJP diagnosis relative to chemotherapy was 18 days (IQR 14-27 days). Peripheral TCL, not otherwise specified was the most common TCL, followed by angioimmunoblastic TCL, and CD30+ T-cell lymphoproliferative disorders (64%, 29% and 7%, respectively). The primary specimen type sampled for PJP diagnosis was BAL fluid (n = 9, 64%), followed by sputum (n = 3, 22%), induced sputum (n = 1, 7%), and transbronchial lung biopsy (n = 1, 7%). Three patients had a prior autologous stem cell transplant (ASCT), and all three cases had relapsed TCL one year after ASCT. 77% of cases received oral prednisone equivalents (median dose of 25 mg, IQR 20-40 mg) 30 days prior to PJP diagnosis. Two patients developed PJP despite anti- Pneumocystis prophylaxis with aerosolized pentamidine. At the time of PJP diagnosis, most patients had lymphopenia (88%, 8/9), and CD4+ T-cells measurement was obtained only in one patient (CD4+ of 100 cells/mL). 71% of the cases were treated with trimethoprim/sulfamethoxazole (TMP/SMX). After the initial PJP episode, 36% of the cases were transitioned to TMP/SMX for secondary prophylaxis. All cause 30-day and 90-day mortality was 7% and 29%, respectively. Mortality attributed to PJP was 7% (n = 1). Conclusions: In our TCL cohort, the occurrence of PJP was low. Primary prophylaxis should be individualized in this population.

8030 Background: There is growing interest in the identification of modifiable patient-specific factors that may predict response to immune checkpoint inhibitors (ICIs) in classical Hodgkin lymphoma (cHL). Recently, it has been proposed that antibiotic use could decrease the efficacy of ICIs in the treatment of advanced solid malignancies. The objective of our study is to assess whether antibiotic use prior to or concurrent with ICIs is associated with changes in outcomes in patients with cHL. Methods: Patients who received a PD-1 or CTLA-4 blocker for the treatment of cHL at Mayo Clinic Rochester between January 1, 2011 and October 20, 2018 were identified. We conducted a longitudinal retrospective chart review to identify those who received antibiotics within 30 or 90 days prior to initiation or concurrent with ICI therapy. Univariate cox regression analysis was used to assess for an association between antibiotic use and overall survival (OS) and progression-free survival (PFS) within these groups; a time-dependent variable was used for concurrent antibiotic use. Results: A total of sixty-two patients were identified (61% male, median age at ICI initiation 35 years [range: 19-87]). Median duration of follow up from ICI start was 38 months (range: 4-78). Twenty-one patients (34%) received antibiotics within 90 days of initiation of ICI, of which thirteen (21%) received antibiotics within 30 days. Thirty-five patients (57%) received antibiotics concurrently with ICI. Concurrent and prior antibiotic use within 90 days of ICI were both associated with inferior PFS (concurrent HR = 6.38 [95% CI 3.02-13.47]; 90-day HR = 2.21 [95% CI 1.10-4.47]) and OS (concurrent HR = 8.77 [95% CI 1.91-40.36]; 90-day HR = 2.96 [95% CI 1.09-8.04]). Conclusions: Antibiotic use is associated with inferior outcomes in patients with cHL treated with ICIs in this single institution cohort. This may reflect potential antibiotic effects on the gut microbiome (GMB) and immune system as has been suggested in prior studies. Further confirmatory studies and examination of potential confounding covariates are needed.

e17539 Background: Chemotherapy with Docetaxel (D) or androgen pathway inhibition (API) with Abiraterone Acetate plus prednisone (AAP), Aplautamide(APA) and Enzalutamide(E) are acceptable, FDA approved treatment options for mCSPC. It is not clear whether the magnitude of benefit varies by the choice of initial agent [chemotherapy vs API] or by volume of disease [High vs Low]. Data is now available from all registration trials by volume status and motivated this analysis to inform initial treatment choice in mCSPC. Methods: We systematically searched MEDLINE(Ovid), Embase, and Scopus for randomized controlled trials of chemotherapy(D) or APIs (AAP, APA, ENZ) that had available hazard ratios (HRs) for overall survival (OS) and Progression Free Survival (PFS) according to patient’s volume of disease. We also reviewed abstracts and presentations from all major conference proceedings. We calculated the pooled overall survival HR and 95% CI by chemotherapy and APIs and by high volume(HVD) and low volume(LVD) using a random effect model, and tested for heterogeneity to assess the null hypothesis that no difference in the survival advantage exists by choice of initial agent and volume of disease. Results: Of 4456 studies identified in our search, there were 8 eligible randomized controlled trials that were included in the analysis. Both D and APIs significantly improved PFS [HR 0.48; 0.45-0.51] and OS [0.72; 0.64-0.81] when added to ADT, however the latter was associated with significantly higher improvement in PFS( P < 0.01) and OS (P = 0.03). In patients treated with D, patients with HVD derive significantly more benefit as compared to LVD( P = 0.046) and patients treated with APIs both HVD and LVD patients derive similar benefit( P = 0.80) (Table). Conclusions: mCSPC patients derive higher magnitude of survival benefit when treated with APIs as compared to D; however, D may be preferred in HVD patients. [Table: see text]

Abstract Background: Side effects of and adherence to aromatase inhibitors in women with ductal carcinoma in situ are not well described. Methods: Postmenopausal women in a prospective phase II study of neoadjuvant letrozole for estrogen receptor positive DCIS completed questionnaires on side effects [Menopause Specific Quality of Life Questionnaire (MENQOL), Brief Pain Inventory-short form (BPI-SF), Arthritis Impact Measurement Scales (AIMS2)], well-being (FACT-G), and adherence [Medication-Taking questionnaire] at baseline, 1, 3 and 6 months (mo), and study completion. We used descriptive statistics and paired t-tests to compare 1, 3 and 6 mo results to baseline. Hierarchical linear mixed modeling, controlling for baseline symptom or well-being level, was used to examine effect of symptoms and well-being on intentional and nonintentional nonadherence, based on the Medication-Taking Questionnaire. Results: Included were 84 women, mean age 63 (39-83) years. In univariate analyses, compared to baseline, menopausal symptoms increased [physical (p=0.001 at 3, p&lt;0.001 at 6 mo); vasomotor (p&lt;0.001 at 1, 3, 6 mo), psychosocial (p=0.006 at 6 mo) and sexual (p=0.01 at 6 mo)]. Joint pain and stiffness increased [BPI-SF pain subscale (p=0.048 at 3, p=0.01 at 6 mo); AIMS2 joint pain subscale (p=0.03 at 1, p&lt;0.001 at 3 and 6 mo); AIMS2 stiffness subscale (p=0.004 at 3, p=0.01 at 6 mo)]. Intentional and nonintentional adherence did not significantly change over time (p&gt;0.05). Lower emotional (p=0.049) and functional (p=0.002) well-being by FACT-G and higher joint pain (p=0.03) by AIMS2 were associated with higher nonintentional nonadherence; higher physical side effects of menopause (p=0.001) by MENQOL were associated with lower intentional nonadherence. Conclusions: Among women taking letrozole for DCIS, menopausal symptoms and joint pain/stiffness increased over time with most differences noted at 3 and 6 mo. Lower well-being and higher symptom levels were associated with higher nonintentional nonadherence. NCT01439711.U10CA180821, U10CA180882, UG1CA189823, Breast Cancer Research Foundation, https://acknowledgments.alliancefound.org. Citation Format: Gretchen Kimmick, Amylou C Dueck, Rebecca Shelby, Michelle Naughton, Abigail Caudle, Briant Fruth, E. Shelley Hwang. Musculoskeletal side effects over time and association with adherence in women taking neoadjuvant letrozole for estrogen receptor positive DCIS: CALGB 40903 (Alliance) [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-14-17.

TPS1608 Background: Metformin may have growth inhibitory effects on many cancer types including breast cancer. NCIC MA.32 is a randomized placebo-controlled trial examining the effects of 5 years of metformin in women with breast cancer ( http://clinicaltrials.gov/show/NCT01101438 ). This trial offers us the opportunity to explore the effects of metformin on breast cancer biomarkers to gain an understanding of the potential chemo preventive effects of this drug. The primary aim of this companion to MA.32 (Alliance trial # A211201) is to examine the effects of 1 year of metformin vs placebo on breast density for women with Estrogen Receptor negative (ER-) breast cancer. Secondary aims of this study include: evaluation of breast density following 2 years of metformin use, and correlation of density with fasting insulin, glucose and Homeostasis Model Assessment (HOMA). Exploratory aims include examination of the effects of metformin on second cancer rates. Methods: Eligible women must have been enrolled on MA.32 (North America accrual completed January 23, 2013), have hormone receptor-negative breast cancer, and breast composition on mammography >25% glandular density, have a digital mammogram within 12 months of registration on MA.32 and have an intact, unaffected contralateral breast. Women enrolled on this study must provide menstrual cycle data (if premenopausal) and digital mammograms. All other study related information is gathered through participation in MA.32. Mammographic density will be calculated using Cumulus software (the Boyd method). Our accrual goal is 458 patients (229 per arm) and with an assumption of 20% drop out due to drug intolerance and another 20% due to ineligibility. Therefore, with a sample size of 274 (137 per arm) we will have at least 85% power to detect a 4% difference between study arms, i.e., 5% change from baseline to one year of treatment for metformin vs. 1% for placebo, using the two-sided two-sample t-test at a significance level of 5%. This study was activated in the United States on 8/22/2012 and 15 patients have been accrued to date. This study is sponsored by the NCI and the Alliance for clinical trials. Clinical trial information: NCT01666171.