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PURPOSE The prevalence of germline pathogenic variants (PVs) in established breast cancer predisposition genes in women in the general population over age 65 years is not well-defined. However, testing guidelines suggest that women diagnosed with breast cancer over age 65 years might have < 2.5% likelihood of a PV in a high-penetrance gene. This study aimed to establish the frequency of PVs and remaining risks of breast cancer for each gene in women over age 65 years. METHODS A total of 26,707 women over age 65 years from population-based studies (51.5% with breast cancer and 48.5% unaffected) were tested for PVs in germline predisposition gene. Frequencies of PVs and associations between PVs in each gene and breast cancer were assessed, and remaining lifetime breast cancer risks were estimated for non-Hispanic White women with PVs. RESULTS The frequency of PVs in predisposition genes was 3.18% for women with breast cancer and 1.48% for unaffected women over age 65 years. PVs in BRCA1, BRCA2, and PALB2 were found in 3.42% of women diagnosed with estrogen receptor (ER)–negative, 1.0% with ER-positive, and 3.01% with triple-negative breast cancer. Frequencies of PVs were lower among women with no first-degree relatives with breast cancer. PVs in CHEK2, PALB2, BRCA2, and BRCA1 were associated with increased risks (odds ratio = 2.9-4.0) of breast cancer. Remaining lifetime risks of breast cancer were ≥ 15% for those with PVs in BRCA1, BRCA2, and PALB2. CONCLUSION This study suggests that all women diagnosed with triple-negative breast cancer or ER-negative breast cancer should receive genetic testing and that women over age 65 years with BRCA1 and BRCA2 PVs and perhaps with PALB2 and CHEK2 PVs should be considered for magnetic resonance imaging screening.

Background: Although graft choice may be limited in the revision setting based on previously used grafts, most surgeons believe that graft choice for anterior cruciate ligament (ACL) reconstruction is an important factor related to outcome. Hypothesis: In the ACL revision setting, there would be no difference between autograft and allograft in rerupture rate and patient-reported outcomes (PROs) at 6-year follow-up. Study Design: Cohort study; Level of evidence, 2. Methods: Patients who had revision surgery were identified and prospectively enrolled in this cohort study by 83 surgeons over 52 sites. Data collected included baseline characteristics, surgical technique and pathology, and a series of validated PRO measures. Patients were followed up at 6 years and asked to complete the identical set of PRO instruments. Incidence of additional surgery and reoperation because of graft failure were also recorded. Multivariable regression models were used to determine the predictors (risk factors) of PROs, graft rerupture, and reoperation at 6 years after revision surgery. Results: A total of 1234 patients including 716 (58%) men were enrolled. A total of 325 (26%) underwent revision using a bone-patellar tendon-bone (BTB) autograft; 251 (20%), soft tissue autograft; 289 (23%), BTB allograft; 302 (25%), soft tissue allograft; and 67 (5%), other graft. Questionnaires and telephone follow-up for subsequent surgery information were obtained for 809 (66%) patients, while telephone follow-up was only obtained for an additional 128 patients for the total follow-up on 949 (77%) patients. Graft choice was a significant predictor of 6-year Marx Activity Rating Scale scores ( P = .024). Specifically, patients who received a BTB autograft for revision reconstruction had higher activity levels than did patients who received a BTB allograft (odds ratio [OR], 1.92; 95% CI, 1.25-2.94). Graft rerupture was reported in 5.8% (55/949) of patients by their 6-year follow-up: 3.5% (16/455) of patients with autografts and 8.4% (37/441) of patients with allografts. Use of a BTB autograft for revision resulted in patients being 4.2 times less likely to sustain a subsequent graft rupture than if a BTB allograft were utilized ( P = .011; 95% CI, 1.56-11.27). No significant differences were found in graft rerupture rates between BTB autograft and soft tissue autografts ( P = .87) or between BTB autografts and soft tissue allografts ( P = .36). Use of an autograft was found to be a significant predictor of having fewer reoperations within 6 years compared with using an allograft ( P = .010; OR, 0.56; 95% CI, 0.36-0.87). Conclusion: BTB and soft tissue autografts had a decreased risk in graft rerupture compared with BTB allografts. BTB autografts were associated with higher activity level than were BTB allografts at 6 years after revision reconstruction. Surgeons and patients should consider this information when choosing a graft for revision ACL reconstruction.

BACKGROUNDBoth intensity‐modulated radiotherapy (RT) and passively scattered proton therapy have a risk of secondary malignant neoplasm (SMN) in children. To determine the influence of RT modality on the incidence of SMN after craniospinal irradiation (CSI), the authors compared the incidence of SMN in children who had medulloblastoma treated with either photon CSI plus an intensity‐modulated RT boost (group I) or passively scattered proton CSI plus a boost (group II).METHODSFrom 1996 to 2014, 115 children with medulloblastoma (group I, n = 63; group II, n = 52) received CSI followed by a boost to the tumor bed. Most patients had standard‐risk disease (63.5%). The median follow‐up was 12.8 years for group I and 8.7 years for group II.RESULTSThe 5‐year and 10‐year overall survival (OS) rates were 88.8% and 85.1%, respectively, for standard‐risk patients and 63.1% and 57.3%, respectively, for high‐risk patients, with no OS difference by RT modality (P = .81). Six SMNs were identified (4 in group I, 2 in group II). The 5‐year and 10‐year SMN incidence rates were 1.0% and 6.9%, respectively (0.0% and 8.0%, respectively, in group I; 2.2% and 4.9%, respectively, in group II; P = .74). Two SMNs occurred in the clinical target volume in the brain, 2 occurred in the exit dose region from the photon spinal field, 1 occurred in the entrance path of a proton beam, and 1 occurred outside the radiation field. There were no reported cases of secondary leukemia.CONCLUSIONSThis analysis demonstrates no difference in OS or SMN incidence between patients in groups I and II 10 years after RT.LAY SUMMARY One hundred fifteen children with medulloblastoma received radiotherapy (RT) with either photon craniospinal irradiation (CSI) and an intensity‐modulated RT boost (group I; n = 63) or passively scattered proton CSI and a boost (group II;, n = 52). The majority of children had standard‐risk disease (63.5%). The 5‐year and 10‐year overall survival rates were 88.8% and 85.1% for standard‐risk patients, respectively, and 63.1% and 57.3% for high‐risk patients, respectively, with no difference in overall survival by RT group (P = .81). The 5‐year and 10‐year second malignant neoplasm incidence rates were 1.0% and 6.9%, respectively, with no difference in second malignant neoplasm incidence according to RT group (P = .74).

Abstract Introduction Asymptomatic and mildly symptomatic dominantly inherited Alzheimer's disease mutation carriers (DIAD‐MC) are ideal candidates for preventative treatment trials aimed at delaying or preventing dementia onset. Brain atrophy is an early feature of DIAD‐MC and could help predict risk for dementia during trial enrollment. Methods We created a dementia risk score by entering standardized gray‐matter volumes from 231 DIAD‐MC into a logistic regression to classify participants with and without dementia. The score's predictive utility was assessed using Cox models and receiver operating curves on a separate group of 65 DIAD‐MC followed longitudinally. Results Our risk score separated asymptomatic versus demented DIAD‐MC with 96.4% (standard error = 0.02) and predicted conversion to dementia at next visit (hazard ratio = 1.32, 95% confidence interval [CI: 1.15, 1.49]) and within 2 years (area under the curve = 90.3%, 95% CI [82.3%–98.2%]) and improved prediction beyond established methods based on familial age of onset. Discussion Individualized risk scores based on brain atrophy could be useful for establishing enrollment criteria and stratifying DIAD‐MC participants for prevention trials.

Abstract Introduction Distinguishing between tumor and treatment effect in post-treatment glioma, although crucial for clinical management, is difficult because contrast-enhancing regions are mixtures of recurrent tumor and reactive tissue, and definitive histopathological criteria do not exist. This study disentangles the marked intra-tumoral heterogeneity in the treatment-recurrent setting by developing an unsupervised framework to algorithmically categorize intraoperative MRI-localized biopsies into three clinically-relevant tissue clusters based on joint analysis of RNA sequencing and histopathological data. Methods A retrospective cohort of 84 MRI-localized biopsies from 37 patients with post-treatment recurrent glioblastoma underwent mRNA extraction and quantification via PLATEseq protocol. For 48 of 84 biopsies, a neighboring piece of tissue underwent quantitative histopathology based on labeling index (LI) for SOX2, CD68, NeuN, Ki67, and H&E. Correlation between LIs and gene expression for these 48 samples was performed. Genes significantly correlated (p&lt;0.05) with ≥1 marker were used for hierarchical clustering of correlation matrix, identifying three mutually-exclusive tissue-specific gene sets. These sets were then used to perform ssGSEA to categorize each of 84 biopsies into one of three tissue types. Results Correlation analysis identified 7779 genes significantly correlated with ≥1 histopathological marker. Clustering revealed three gene sets associated with specific markers: SetA-3688 genes associated with SOX2/Ki67/H&E; SetB-2418 genes associated with CD68; SetC-1673 genes associated with NeuN. ssGSEA using these sets categorized each biopsy into one of three tissue types: 27 biopsies enriched in SetA, 28 in SetB, and 29 in SetC. Conclusions Using MRI-localized biopsies with both RNAseq and histopathological data, this algorithmic approach allows development of three orthogonal tissue-specific gene sets that can be applied to characterize the heterogeneity in post-treatment recurrent glioma: SetA: genes correlated with SOX2/Ki67/H&E, representing recurrent tumor; SetB: genes correlated with CD68 (microglia) representing reactive tissue consistent with treatment effect; SetC: genes correlated with NeuN (neurons), representing infiltrated brain.

Background: Midlife obesity is associated with dementia in later life, but how the metabolic syndrome (MetS) relates to cognitive change is less understood. We hypothesized that MetS would be more predictive of 6-year cognitive decline than its individual components in a large biethnic cohort (the ARIC study) and that combinations of risk factors would further increase likelihood of change. Methods: The MetS was defined in 1987-89 on 10,687 participants with two cognitive assessments at two time points. In subjects aged 44 to 66, obesity measures included body mass index (BMI) and waist-to-hip ratio (WTHR). The main outcome measure was change in 1990-92 to 96-99 of three cognitive tests: Delayed Word Recall (DWR), Digit Symbol Substitution Test (DSST), and Word Fluency Test (WFT). Linear and logistic regressions were all adjusted for age, combined race-center, sex, education, smoking, drinking, coronary artery disease and prior stroke. Change was measured as the difference divided by the number of years between visits. Results: At baseline, the prevalence of MetS was 22% (mean age 54 years, 27% black, 55% female, and 28% BMI>30 kg/m2). Subjects with MetS performed in the lowest test quintile (adjusted ORs: DWR 1.3 95% CI 1.1-1.4) in 1996-99, and much of this effect size was explained by an elevated WTHR (DWR OR 1.3 CI 1.1-1.5) and diabetes (DWR OR 1.4 CI 1.2-1.7). MetS was not associated with annual cognitive change, and diabetes was the only significant component associated with change (adjusted beta: DWR 0.03 p=.01, DSST 0.2 p<.001, WFT 0.09 p=.01). Conclusion: MetS at ages 44 to 66 was associated with worse cognitive function at follow-up, but not with annual cognitive decline over several years. Elevated WTHR and diabetes explained most of the association of MetS with cognitive function measures, and diabetes with cognitive decline. Until we have a definition of the MetS more based on pathophysiology, the components of the MetS should be the focus of analysis in future studies.

The objective of this study was to investigate the cross-sectional associations of atrial fibrillation with neuroimaging measures of cerebrovascular disease and Alzheimer’s disease-related pathology, and their interaction with cognitive impairment. MRI scans of non-demented individuals (n=1044) from the population-based Mayo Clinic Study of Aging were analyzed for infarctions, total grey matter, hippocampal and white matter hyperintensity volumes. A subset of 496 individuals underwent FDG and C-11 Pittsburgh compound B (PiB) PET scans. We assessed the associations of atrial fibrillation with i) categorical MRI measures (cortical and subcortical infarctions) using multivariable logistic regression models, and with ii) continuous MRI measures ( hippocampal, total grey matter, and white matter hyperintensity volumes) and FDG-PET and PiB-PET measures using multivariable linear regression models, and adjusting for confounders. Among participants who underwent MRI (median age, 77.8, 51.6% male), 13.5% had atrial fibrillation. Presence of atrial fibrillation was associated with subcortical infarctions (odds ratio [OR], 1.83; p=0.002), cortical infarctions (OR, 1.91; p=0.03), total grey matter volume (Beta [β], -.025, p<.0001) after controlling for age, education, gender, APOE e4 carrier status, coronary artery disease, diabetes, history of clinical stroke, and hypertension. However, atrial fibrillation was not associated with white matter hyperintensity volume, hippocampal volume, Alzheimer’s pattern of FDG hypometabolism or PiB uptake. There was a significant interaction of cortical infarction (p for interaction=0.004) and subcortical infarction (p for interaction =0.015) with atrial fibrillation with regards to odds of mild cognitive impairment (MCI). Using subjects with no atrial fibrillation and no infarction as the reference, the OR (95% confidence intervals [CI]) for MCI was 2.98 (1.66, 5.35;p = 0.0002) among participants with atrial fibrillation and any infarction, 0.69 (0.36, 1.33;p= 0.27) for atrial fibrillation and no infarction, and 1.50 (0.96, 2.32;p = 0.07) for no atrial fibrillation and any infarction. These data highlight that atrial fibrillation is associated with MCI in the presence of infarctions.

Introduction: Warfarin and non-vitamin K antagonist oral anticoagulants (NOACs) such as dabigatran are effective for the prevention of stroke and systemic embolism in patients with atrial fibrillation (AF). However, few analyses have compared persistence rates of warfarin vs. dabigatran-treated patients. Methods: The ORBIT-AF registry enrolled patients with AF from 173 clinical practices across the US. One-year persistence of warfarin vs. dabigatran was defined as treatment at baseline visit and at 1-year follow-up. Multivariable logistic regression analysis was used to identify characteristics associated with warfarin or NOAC persistent use. Results: At baseline, 6.4% (N=459/7,150) were treated with dabigatran and 93.6% (N=6,691/7,150) with warfarin. Patients treated with warfarin at baseline were older (74 vs. 71, p<.0001), had more NYHA class III/IV heart failure (7 vs. 5, p=.0007), lower creatinine clearance (77 vs. 88, p<.0001), higher CHA2DS2-VASc risk scores, and more prior CVA/TIA events (16 vs. 11, p=.003). Patients treated with dabigatran had more severe symptoms (EHRA class III: 20 vs. 14, p<.0001), higher rates of treatment with a rhythm control strategy (42.7 vs. 28.2, p<.0001), more attempts at cardioversion (38.3 vs. 32.1, p<.006), and catheter ablation of AF (9.8 vs. 5.2, p<.0001). At 12 months, adjusted persistence rates for warfarin were higher than dabigatran [82% (80-84) vs. 67% (61-73) p<.0001]. Factors independently associated with one year persistence were: African American race (OR 1.53, 95% C.I. 1.07-2.19, p=0.02), Hispanic race (OR 1.66, 95% C.I. 1.06-2.60), paroxysmal AF (vs. new onset) (OR 1.68, 95% C.I. 1.21-2.33, p=.002), LVH (OR 1.40, 95% C.I. 1.08-1.81, p=.01), persistent AF (vs. new onset) (OR 1.91, 95% C.I. 1.35-2.69, p=.0002), and CHA2DS2-VASc risk scores ≥ 2 (OR 1.94, 95% C.I. 1.18-3.19, p=.009). Conclusion: Persistence rates for warfarin were higher at one year than those on dabigatran. In addition, factors associated with persistence of warfarin include: African American and Hispanic race, type of AF including permanent and persistent, LVH, and CHA2DS2-VASc risk scores ≥ 2.

Background: Novel therapies for stroke prevention in atrial fibrillation (AF) are emerging. However, data on use and outcomes of these agents in the community are limited, particularly in patients newly diagnosed with AF or recently transitioned to a novel anticoagulant. Methods: Phase II of the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF II) is a multicenter, national, AF registry. We are enrolling 15,000 patients with new-onset AF, or those with known AF recently-transitioned to a novel anticoagulant. The primary objective is to evaluate the safety of novel anticoagulants, with specific focus on use, transitions, and management around invasive procedures and bleeding events. An adaptive design is used to ensure diversity of enrollment across geographic, provider, and treatment groups. The primary outcomes are major bleeding and thromboembolic events. Results: Of 1,011 patients in ORBIT-AF II, the median age was 73, 44% were female, 23% had a history of heart failure, 34% had a prior MI, and 11% had a prior stroke/TIA. The mean CHADS2 score was 2. Overall, 76% had AF new-onset, and a range of anticoagulant strategies was used in these patients (Figure). Among the 24% with known AF transitioned to a novel agent, 66% received rivaroxaban, versus 8.1% dabigatran, and 26% apixaban. Compared with patients having new-onset AF, those with known AF recently-transitioned to a novel anticoagulant were slightly older (median age 74 vs. 72), had higher CHADS2 scores (>2 in 70% vs. 62%), but less severe kidney disease (0 vs. 1.7%). Conclusions: Patients with new-onset AF are frequently treated with novel anticoagulants and these patients have lower risk scores than those with known AF transitioned to a novel drug. These data will provide insights into clinical management and patient centered outcomes among those treated with novel anticoagulants in real world practice settings.

Objective: Time in the therapeutic range (TTR) of INR 2.0-3.0 is an important measurement of warfarin anticoagulation quality. There are few reports on TTR in United States (US) clinical practice. Methods: Using the US ORBIT AF registry, we analyzed TTR for patients on warfarin with at least 5 recorded INR measurements. The Rosendaal method of linear interpolation was used between each pair of measured INR values. Patients were stratified into quartiles based on TTR. Results: We studied 5,451 patients treated at 169 US sites with 48% of patients being followed at an anticoagulation clinic. Patients had a median age of 76 years [interquartile range (IQR) 68-82 years] and median follow-up was 18.9 months [IQR 12.7-23.3 months], and patients were 42% women. The median number of INR draws was 21 [IQR 12-30]. Patients had an overall median TTR of 68% [IQR 52-80%]. The median TTR by quartile was 40%, 60%, 73%, and 87%. Patients were more likely to be subtherapeutic (median time of 17%) than supratherapeutic (median time of 10%). Patients age 61-80 years and those with a college education had the highest TTRs. Patients with their INR followed at an anticoagulation clinic were more likely to be in the highest TTR quartile than in the lowest (27% vs 23%, p=0.0002). Patients with worsening renal function and higher risk for bleeding (ATRIA) or stroke (CHADS2 score) had lower TTR (p<0.0001 for all) (Figure). Conclusions: In US clinical practices, warfarin patients have therapeutic INR levels about 2/3 of the time. Those at highest risk for stroke and bleeding paradoxically were the least likely to be in the therapeutic range.