Citations

AbstractBackgroundLittle is known about the ablation outcomes of premature ventricular contractions (PVCs) that originate from the periprosthetic aortic valve (PPAV) regions of patients with aortic valve replacement (AVR).Methods and ResultsOur study had 11 patients who underwent catheter ablation for PVCs arising from the PPAV regions (bioprosthetic aortic valve, n = 5; mechanical aortic valve, n = 6). The PVC characteristics, procedure characteristics, and efficacy of ablation were compared with the control group (n = 33). At baseline, the PPAV group had a lower left ventricular ejection fraction (mean [SD], 41% [12%] vs. 51% [8%]; p = .002). The rate of acute ablation success was 90.9% in the PPAV group. Ablation sites were identified above the left coronary cusp (LCC) and right coronary cusp commissure (LRCC) in one PVC, below the prosthetic valve in eight PVCs (four below LCC and four below LRCC), and within the distal coronary sinus in two PVCs. The mean procedure time, fluoroscopy time, and radiation in the PPAV group were all significantly greater than those in the control group (all p < .05). However, the number of radiofrequency ablation energy deliveries was not different. The PPAV group had a long‐term success rate compared with the control group (72.7% vs. 87.9%, p = .48) and an increase of left ventricular ejection fraction from 43% to 49% after successful PVC ablation at follow‐up (p < .001). Echocardiography showed no significant change in valve regurgitation after ablation. No new atrioventricular block occurred.ConclusionPVCs arising from PPAV regions can be successfully ablated in patients with prior AVR, without damaging the prosthetic aortic valve and atrioventricular conduction.

Abstract Steroid-refractory (SR) acute graft-versus-host disease (GVHD) remains a major cause of nonrelapse mortality (NRM) after allogeneic hematopoietic cell transplantation (HCT), but its occurrence is not accurately predicted by pre-HCT clinical risk factors. The Mount Sinai Acute GVHD International Consortium (MAGIC) algorithm probability (MAP) identifies patients who are at high risk for developing SR GVHD as early as 7 days after HCT based on the extent of intestinal crypt damage as measured by the concentrations of 2 serum biomarkers, suppressor of tumorigenesis 2 and regenerating islet-derived 3α. We conducted a multicenter proof-of-concept “preemptive” treatment trial of α-1-antitrypsin (AAT), a serine protease inhibitor with demonstrated activity against GVHD, in patients at high risk for developing SR GVHD. Patients were eligible if they possessed a high-risk MAP on day 7 after HCT or, if initially low risk, became high risk on repeat testing at day 14. Thirty high-risk patients were treated with twice-weekly infusions of AAT for a total of 16 doses, and their outcomes were compared with 90 high-risk near-contemporaneous MAGIC control patients. AAT treatment was well tolerated with few toxicities, but it did not lower the incidence of SR GVHD compared with controls (20% vs 14%, P = .56). We conclude that real-time biomarker-based risk assignment is feasible early after allogeneic HCT but that this dose and schedule of AAT did not change the incidence of SR acute GVHD. This trial was registered at www.clinicaltrials.gov as #NCT03459040.

AbstractBackgroundHearing impairment is associated with cognitive decline but whether it is a cause or marker is unknown. We investigated the association of hearing impairment with brain volumes and 8‐year cognitive decline. Because the superior temporal gyrus (STG) is the location of the primary auditory cortex, we stratified results by STG volume to investigate if the association of hearing and cognition differed among participants with and without evidence of possible hearing‐related brain atrophy.MethodWe used data from 1195 community‐dwelling adults (72‐94 years, 61% female, 36% black) from the Atherosclerosis Risk in Communities Study. A composite cognitive score was created from 10 neuropsychological tests administered at 3 study visits spanning 8 years (2011‐13 to 2018‐19). Brain volumes were calculated from structural magnetic resonance imaging scans for 6 regions of interest. Pure tone air conduction hearing thresholds (frequencies 0.5‐4 kHz) were obtained in 2016‐17 and averaged, with better‐ear hearing impairment defined as an average >25 dB. Multivariable‐adjusted linear regression was used to estimate cross‐sectional differences in standardized brain volumes, adjusting for intracranial volume, demographic and clinical covariates. We estimated differences in annual rates of cognitive change by hearing impairment status adjusting for demographic and clinical covariates using linear mixed models; results were stratified by intracranial volume‐adjusted STG volume (below vs. equal to or greater than the median value).ResultThe mean STG volume difference comparing hearing impairment to normal hearing was ‐0.121 standard deviations (SD) (95% CI: ‐0.213, ‐0.028). Overall, the difference in the rate of cognitive decline associated with hearing impairment was ‐0.014 SD (‐0.023, ‐0.005). Hearing was more strongly associated with cognitive decline among participants with smaller STG volumes; rate difference, ‐0.014 SD (‐0.027, ‐0.002) compared to ‐0.008 (‐0.022, 0.006) for participants with larger STG volumes.ConclusionHearing impairment was associated with smaller brain volumes in the primary auditory region, but not with other regions. Our stratified analysis suggests that hearing treatment might be an important possible strategy to delay cognitive decline, even among participants with hearing‐related brain atrophy. Furthermore, the adverse cognitive effects of hearing impairment could potentially be mitigated if early hearing treatment can prevent STG atrophy.

AbstractBackgroundRecently, hearing loss has been identified as a promising modifiable risk factor for dementia. Several hypotheses explaining a potential underlying pathway have been proposed, including the sensory deprivation hypothesis, describing a direct causal relationship in which hearing loss leads to neuroplastic changes in the brain. Indeed, hearing loss has been associated with smaller macrostructural brain volumes, which is believed to at least partly explain the association between hearing loss and neurodegenerative disease. However, microstructural changes precede macrostructural changes. Therefore, we aimed to assess the association between hearing loss and microstructural integrity of the brain.Methods1,086 dementia‐free older adults from the Atherosclerosis Risk in Communities (ARIC) study (mean age = 75.2 [SD: 4.9], 61.4% female) underwent hearing assessment (2016‐2017) and magnetic resonance imaging (MRI) of the brain (2011‐2013). Hearing was assessed with pure‐tone audiometry. Microstructural integrity (fractional anisotropy (FA) and mean diffusivity (MD)) of multiple brain regions was determined with diffusion tensor imaging (DTI). Multivariable linear regression models were used to investigate the association between hearing loss and microstructural integrity of the lobes, temporal lobe gyri, medial temporal lobe structures and white matter (WM) tracts, adjusting for relevant confounders.ResultHearing loss was associated with lower WM microstructural integrity in the temporal lobe (difference in SD FA for moderate/severe hearing loss as compared to normal hearing: ‐0.19 [95% CI: ‐0.35, ‐0.03]; and difference in SD MD for moderate/severe hearing loss as compared to normal hearing: 0.15 [95% CI: 0.01, 0.28]). Hearing loss was associated with lower gray matter (GM) microstructure of the hippocampus, but not the amygdala. Moreover, hearing loss was associated with lower WM microstructural integrity of the limbic tracts and the uncinate fasciculus (Figure 1).ConclusionOur results demonstrate that age‐related hearing loss is associated with lower WM microstructural integrity in the temporal lobe, the limbic tracts and the uncinate fasciculus and lower GM microstructure in the hippocampus. These associations suggest that poorer hearing may affect brain regions that are important for different cognitive processes. However, the results should be interpreted with caution as this study is of a cross‐sectional design.

AbstractBackgroundAlthough both age‐related and highly prevalent, little is known regarding the prevalence of hearing loss among persons with dementia (PwD). Current understanding is based on convenience samples primarily from specialized memory clinics. The Atherosclerosis Risk in Communities Neurocognitive Study (ARIC‐NCS) is a large, prospective study of a population‐based cohort from 4 U.S. community sites with audiometric and neurocognitive testing and bi‐racial representation. We examined the prevalence of hearing loss and hearing aid use among older adults with cognitive impairment and whether cognitive status influences hearing aid use.MethodWe analyzed audiometric and hearing care data from ARIC‐NCS Visit 6 (2016‐2018). Participants underwent a full neurocognitive battery and audiometric evaluation at Visit 6. Participants with complete audiometric data and an adjudicated diagnosis of cognitively normal, mild cognitive impairment (MCI), or dementia were included in the analytical cohort (N=3,385). Differences in participant characteristics by cognitive status were descriptively compared using Chi‐square tests or one‐way ANOVAs. We performed a series of logistic regression models to estimate the odds of hearing aid non‐use by cognitive status.ResultPrevalence of hearing loss was greater with increasing cognitive impairment (cognitively normal:64.7%; MCI:71.3%; dementia:83.3%). Prevalence of hearing aid use among those with hearing loss and cognitive impairment varied by race (African Americans 7.2%; whites 32.8%). In a multivariable‐adjusted model, cognitive impairment was independently associated with higher odds of non‐use of hearing aids (MCI odds ratio (OR):1.4 (95%CI:1.0‐1.8); dementia OR:1.8 (95%CI:1.2‐2.9) versus cognitively normal). The strongest risk factor for non‐use of hearing aids was race, where African Americans have almost a 5 times higher odds of not using hearing aids compared to whites (95% CI:2.9‐7.4).ConclusionHearing loss is highly prevalent but vastly untreated among older adults with cognitive impairment, particularly African Americans, and cognitive impairment is independently associated with hearing aid use. These estimates are some of the first population‐based estimates of audiometric hearing loss among diverse older adults with adjudicated diagnoses of MCI or dementia. With increased calls to address ethnic/racial disparities, we must include hearing loss, as one of the most common co‐morbidities, in order to optimize health and well‐being among all PwD.

AbstractBackgroundThe pathological features of AD are neurofibrillary tangles (NFTs) composed of highly phosphorylated tau and senile plaques (SPs) composed of amyloid β protein (Aβ). It was suggested that Cu2 + induced hyperphosphorylation of tau and Zn2 + deposits on SPs. Clioquinol (CQ) has a mild chelating effect on Zn2 + and Cu2 +. In addition, CQ has been shown to reduce Aβ aggregation by removing Zn2+ from SPs. However, the effect of CQ on tau aggregation is not fully understood. The purpose of our study is to examine the effect of CQ on tau metabolism by using a cell culture model of tauopathy.MethodsHuman neuroblastoma cell line M1C cells that express wild‐type tau protein (4R0N) via tetracycline (Tet) off induction was used. M1C cells were exposed to 0.1‐10 μM CQ on day 4 of Tet‐Off induction, and harvested at the end of Day 5. Total tau detected by Tau5, and phosphorylated tau detected by PS199/202, AT180, AT270, CP13, and PHF‐1 antibodies, were examined using Western blot analysis. Immunocytochemical studies, fractional analysis and immunoprecipitation of ubiquitinated tau were also performed. Tau kinases including c‐Jun N‐terminal kinase (JNK), and P38 MAPK and tau phosphatase, protein phosphatase 2A (PP2A) were also examined. C‐terminal truncated pathological tau was detected by using the antibody TauC3. In addition, autophagy and proteasome activity were also examined.ResultPhosphorylated tau levels were reduced by 1‐10 μM CQ treatment. Tau kinases, JNK and p38 MAPK were inactivated by CQ treatment. Interestingly, activation of the tau phosphatase PP2A was also observed with CQ treatment. Fractionation studies showed that CQ treatment reduced AT180 and AT270 positive high molecular weight tau in the Tris‐insoluble, sarkosyl‐soluble fraction. CQ also reduced tau oligomer specific antibody TOC1‐positive oligomeric tau. CQ reduced caspase‐cleaved tau detected by antibody TauC3. P62 levels were reduced by CQ treatment, suggesting that CQ activates autophagy. In addition, CQ slightly reduced high molecular weight ubiquitinated tau. This implies activation of the ubiquitin‐proteasome by CQ.ConclusionCQ could provide beneficial effects against pathogenic forms of tau via multiple mechanisms and may represent a viable therapeutic approach for AD and other tauopathies.

Abstract BACKGROUND The prognostic importance of maximal resection of contrast enhancing and non-contrast enhancing disease has been established. Nonetheless, glioblastomas exist within the framework of complex neural circuitry serving cognition, movement, and behavior consequential leading to neurological impairments. The prognostic importance of neurological impairments on survival remains poorly understood. METHODS This is a retrospective, single cohort study from UCSF including 316 eligible patients diagnosed over 20 years with 9.6 years of follow-up. All patients underwent surgical resection for newly diagnosed glioblastoma for whom survival, molecular, preoperative and postoperative MRI images, and clinical data were available. All patients had chemoradiation treated IDH-wild-type glioblastoma with available preoperative and 1-month post-surgical resection neurological outcomes. We employed survival models and recursive partitioning (RPA) to investigate multivariate relationships of overall survival (OS). RESULTS Preoperative neurological impairments were present in 75.6% (n= 239) and new post resection impairments were identified in 37.3% (n=117). Univariate analysis confirmed that new postoperative cognitive impairment [HR 7.91, 95% CI 2.47-25.33] and hemiplegia [HR 3.38, 95% CI 0.83-13.67] (not hemiparesis) impact OS. Risk stratified grouping by RPA demonstrated that gross total resection of contrast enhancing tumor in patients with no new postoperative neurological impairments confers the longest OS (median OS 27.1 months 95%CI 21.5-33.7). Patients with any residual tumor volume after surgery but no new neurological deficits experience a similar survival to younger patients (under 65) with 1 or more new postoperative neurological deficits (median OS 16.6 months 95%CI 15.2-19.2). Shortest OS is identified in patients with any volume of residual tumor plus 1 or more new postoperative neurological deficits and age over 65 (median OS 11.4 months, 95%CI 9.3-13.5). CONCLUSIONS This study confirms that new postoperative neurological impairments impact overall survival in patients with chemoradiation treated IDH-wild-type glioblastoma.

AbstractAlthough the development of effective combined chemoradiation regimens for esophageal cancers has resulted in statistically significant survival benefits, the majority of patients treated with curative intent develop locoregional and/or distant relapse. Further improvements in disease control and survival will require the development of individualized therapy based on the knowledge of host and tumor genomics and potentially harnessing the host immune system. Although there are a number of gene targets that are amplified and proteins that are overexpressed in esophageal cancers, attempts to target several of these have not proven successful in unselected patients. Herein, we review our current state of knowledge regarding the molecular pathways implicated in esophageal carcinoma, and the available agents for targeting these pathways that may rationally be combined with standard chemoradiation, with the hope that this commentary will guide future efforts of novel combinations of therapy.

Abstract Introduction Coronary artery calcification (CAC) is associated with and identifies patients at higher risk of major adverse cardiovascular events (MACE). However, the prevalence, characteristics, and outcomes of cancer patients with CAC on CT before or after chest radiation therapy (RT) are not well addressed. Methods Retrospective cohort study of all breast cancer patients who underwent chest RT at Mayo Clinic Rochester in 2010. All pre-RT CTs were reviewed and the extent of CAC was recorded in addition to history of pre-RT atherosclerotic risk factors (hypertension (HTN), diabetes mellitus (DM), dyslipidemia, and smoking), history of pre-RT cardiovascular disease (CVD), and RT dosage. MACE (sudden cardiac death (SCD), acute coronary syndrome (ACS), and stroke), and CAC progression in follow-up were recorded. CAC extent was quantified before and on 5-year follow-up CT scan in all patients, and a positive change was considered progression. Patients were divided into 2 groups based on the presence of CAC before RT: present (group 1) or absent (group 2). Results Our cohort was comprised of 244 breast cancer patients who received chest RT. A total of 39 patients (16.9%) had evidence of CAC on CT prior to RT. Compared with patients without CAC before RT (n=205), those with CAC before RT were found to be older (71.8±7.7 vs 58.9±11.3, p&lt;0.01), had higher pre-RT history of HTN (84.6% vs 47.8%); p&lt;0.01), DM (20.5% vs 4.4%; p&lt;0.01), dyslipidemia (74.2% vs 40%; p&lt;0.01), CAD (23.1% vs 3.9%; p&lt;0.01), and stroke (7.69% vs 1.45%; p=0.04). Following RT, patients in group 1 were more likely to exhibit ACS (33.3% vs 2.9%; p&lt;0.01), and stroke (22.6% vs 5.2%; p&lt;0.01). Multinomial logistic regression identified pre-RT CAD pre-RT CAC (β=1.01 (0.33–1.69), OR=7.60 (1.93–29.93); p=0.02) pre-RT CAD (β=0.78 (0.06–1.49), OR=4.74 (1.14–19.74); p=0.03) as independent predictors for the development of MACE after RT. Progression in CAC after RT was found in 61.9% of all patients (13/21) who developed MACE. Conclusion MACE in breast cancer patients undergoing RT can be predicted before RT based on the CV risk factor and disease profile. The strongest predictor for MACE, however, is evidence of CAC before RT. These data provide a unique window for the identification and follow-up of breast cancer RT patients who have a risk of MACE. Funding Acknowledgement Type of funding source: None