Citations

AbstractMyasthenia gravis and the associated pharmacologic management options could place patients at higher risk of contracting severe acute respiratory syndrome coronavirus 2 and exhibiting more severe manifestations of the novel coronavirus disease 2019 (COVID‐19). Multiple agents have been studied for the management of the COVID‐19, including remdesivir. To date, no published reports have evaluated the utilization of the antiviral remdesivir in patients with myasthenia gravis. We describe the first reported clinical course of three patients with myasthenia gravis who safely received remdesivir in combination with dexamethasone for the management of COVID‐19.

Pulmonary hypertension resulting from chronic lung disease such as chronic obstructive pulmonary disease and interstitial lung disease is categorized by the World Health Organization as Group 3 pulmonary hypertension. To identify the symptoms and impacts of World Health Organization Group 3 pulmonary hypertension and to capture data related to the patient experience of this disease, qualitative research interviews were undertaken with 3 clinical experts and 14 individuals with pulmonary hypertension secondary to chronic obstructive pulmonary disease or interstitial lung disease. Shortness of breath, fatigue, cough, and swelling were the most frequently reported symptoms of pulmonary hypertension due to chronic obstructive pulmonary disease or interstitial lung disease, and shortness of breath was further identified as the single most bothersome symptom for most patients (71.4%). Interview participants also described experiencing a number of impacts related to pulmonary hypertension and pulmonary hypertension symptoms, including limitations in the ability to perform activities of daily living and impacts on physical functioning, family life, and social life as well as emotional impacts, which included frustration, depression, anxiety, isolation, and sadness. Results of these qualitative interviews offer an understanding of the patient experience of pulmonary hypertension due to chronic obstructive pulmonary disease or interstitial lung disease, including insight into the symptoms and impacts that are most important to patients in this population. As such, these results may help guide priorities in clinical treatment and assist researchers in their selection of patient‐reported outcome measures for clinical trials in patients with pulmonary hypertension due to chronic obstructive pulmonary disease or interstitial lung disease.

Abstract Background: Observational evidence has shown that smoking is a risk factor for breast and colorectal cancer. We used Mendelian randomization (MR) to examine causal associations between smoking and risks of breast and colorectal cancer. Methods: Genome-Wide Association Study summary data were used to identify genetic variants associated with lifetime amount of smoking (n = 126 variants) and ever having smoked regularly (n = 112 variants). Using two-sample MR, we examined these variants in relation to incident breast (122,977 cases/105,974 controls) and colorectal cancer (52,775 cases/45,940 controls). Results: In inverse-variance weighted models, a genetic predisposition to higher lifetime amount of smoking was positively associated with breast cancer risk [OR per 1-SD increment: 1.13; 95% confidence interval (CI): 1.00–1.26; P = 0.04]; although heterogeneity was observed. Similar associations were found for estrogen receptor–positive and estrogen receptor–negative tumors. Higher lifetime amount of smoking was positively associated with colorectal cancer (OR per 1-SD increment, 1.21; 95% CI, 1.04–1.40; P = 0.01), colon cancer (OR, 1.31; 95% CI, 1.11–1.55; P < 0.01), and rectal cancer (OR, 1.36; 95% CI, 1.07–1.73; P = 0.01). Ever having smoked regularly was not associated with risks of breast (OR, 1.01; 95% CI, 0.90–1.14; P = 0.85) or colorectal cancer (OR, 0.97; 95% CI, 0.86–1.10; P = 0.68). Conclusions: These findings are consistent with prior observational evidence and support a causal role of higher lifetime smoking amount in the development of breast and colorectal cancer. Impact: The results from this comprehensive MR analysis indicate that lifetime smoking is a causal risk factor for these common malignancies.

Abstract Introduction The Frontotemporal Lobar Degeneration Module (FTLD‐MOD) includes a neuropsychological battery designed to assess the clinical features of FTLD, although much is unknown about its utility. We investigated FTLD‐MOD and Uniform Data Set 3.0 (UDS) language tests for differential diagnosis and disease monitoring. Methods Linear regressions compared baseline performances in 1655 National Alzheimer's Coordinating Center participants (behavioral variant frontotemporal dementia (bvFTD, n = 612), semantic variant primary progressive aphasia (svPPA, n = 185), non‐fluent/agrammatic variant PPA (nfvPPA, n = 168), logopenic variant PPA (lvPPA, n = 109), and controls (n = 581)). Sample sizes to detect treatment effects were estimated using longitudinal data. Results Among PPAs, the FTLD‐MOD language tasks and UDS Multilingual Naming Test accurately discriminated svPPA. Number Span Forward best discriminated lvPPA; Phonemic:Semantic Fluency ratio was excellent for nfvPPA classification. UDS fluency and naming measures required the smallest sample size to detect meaningful change. Discussion The FTLD‐MOD and UDS differentiated among PPA subtypes. UDS 3.0 measures performed best for longitudinal monitoring.

Background. Portopulmonary hypertension (POPH), pulmonary arterial hypertension (PAH) that develops in the setting of portal hypertension, affects 5%–6% of patients with liver disease and is associated with significant morbidity and mortality. A mean pulmonary arterial pressure (mPAP) threshold of 35 mm Hg is used to stratify perioperative risk and liver transplant eligibility in treated POPH patients but does not take into account the specific factors that contribute to the pressure elevation. Methods. In this case series, we describe the characteristics and posttransplant outcomes of patients with treated POPH and an mPAP ≥35 mm Hg and pulmonary vascular resistance (PVR) <250 dynes-s-cm−5 at or just before liver transplantation (LT). We also describe the effect of PAH therapy on pulmonary hemodynamics in patients with POPH. Results. Sixteen patients were included. All patients were on PAH therapy at the time of LT. PAH therapy resulted in a decrease of mPAP (median 18.4%; interquartile range [IQR] 8.9%–27.0%) with a reduction in PVR (median 50.5%; IQR, 45.4%–70.7%), and an increase in both cardiac output (CO) (median 28.1%; IQR 5.7%–63.8%) and PAWP (median 50.0%; IQR 16.7%–108.3%) before LT. One year posttransplant survival was 69% (11/16); however, only 1 death was attributed to POPH. At 1-year posttransplant, 63.6% (7/11) of patients were weaned off all PAH therapy with clinical and echocardiographic resolution of POPH. Conclusions. In treated POPH patients with an mPAP ≥35 mm Hg and PVR < 250 dynes-s-cm−5 before LT, 1-year posttransplant survival was 69% and the majority of patients were able to discontinue PAH therapy.

AbstractBackgroundHeterozygous progranulin (GRN) mutations are an important cause of familial Frontotemporal Lobar Degeneration (f‐FTLD) associated with TDP‐43 pathology. The cellular role of progranulin remains unclear, but alterations in lipid metabolism and lysosomal function have been suggested. Better understanding the pathophysiology of progranulin deficiency is critical as several clinical trials are underway in this population, and fluid biomarkers are urgently needed to assess pharmacodynamic effects. Therefore, we conducted an unbiased metabolomic analysis in GRN mutation carriers and family member controls, and identified at least two classes of lipids altered in symptomatic GRN carriers.MethodsMatched plasma and CSF samples were obtained from GRN mutation carriers (46 plasma, 36 CSF) and age‐matched blood relatives (36 plasma, 18 CSF). Untargeted metabolite detection was conducted via LC‐MS/MS in both plasma (1389 compounds) and CSF (508 compounds) by Metabolon. To identify important compounds in differentiating these groups, we conducted an unbiased analysis between family controls, asymptomatic carriers, and symptomatic carriers using univariate one‐way ANOVA with post‐hoc Fisher’s LSD corrected for false discovery rate (FDR) and partial least squares ‐ discriminant analysis (PLS‐DA, Metaboanalyst). For compounds identified by this unbiased approach, correlation with measures of disease severity was analyzed via linear regression, controlling for age and gender.ResultsIn plasma, 22 compounds were identified as significant in discriminating between groups via ANOVA (FDR<0.05), and 17/22 were also identified by PLS‐DA (VIP>2.4). Of these, 21/22 compounds were lipids; 11 were sphingomyelins. Comparatively, in the relatively lipid‐poor CSF samples, 6/15 compounds identified by PLS‐DA (VIP>2.0) were phosphatidylcholines. Pathway impact analysis revealed a large impact from the GRN mutation on sphingolipids in plasma and glycerophospholipids in CSF. In secondary analyses, sphingomyelins were elevated in plasma from symptomatic carriers, while phosphatidylcholines were decreased in CSF. Secondary analyses showed these compounds were correlated with clinical measures of disease severity, including MoCA and CDR+NACC‐FTLD.ConclusionIncreased plasma concentration of sphingomyelin and decreased CSF phosphatidylcholines are both associated with worse clinical status in FTLD‐GRN. These findings suggest that impaired lipid metabolism could play a pathogenic role in FTLD‐GRN. Targeted lipidomic measures in plasma and CSF may potentially reveal useful clinical trial biomarkers.

AbstractBackgroundMeasuring changes in the earliest phases of familial frontotemporal lobar degeneration (f‐FTLD) and estimating symptom onset has important implications for clinical care. Early stage clinical trials have begun for f‐FTD, but the low prevalence of f‐FTLD mutation carriers and heterogeneous symptomology challenges trial design. Bayesian disease progression models (DPM) incorporate clinical data, neuroimaging metrics, and fluid biomarker concentrations to estimate latent disease age, providing estimates of symptom onset and progression status. Such models may facilitate enrollment in studies (i.e., inclusion of presymptomatic individuals) and provide more powerful analysis methods for trials.MethodA Bayesian latent variable repeated measures model was used to estimate disease progression, conditional on latent disease age (proximity to symptom onset), in 275 participants with mutations in GRN (n=68), MAPT (n=80) and C9orf72 (n=127). Median follow‐up was one year (range: 0‐4). Jointly modeled longitudinal variables included neuropsychological scores, CDR®+NACC‐FTLD box score, 3T MRI frontotemporal brain volumes, and plasma levels of neurofilament light chain (NfL). Sample size estimates for detecting treatment effects were generated by varying thresholds of estimated proximity to symptom onset.ResultThe Bayesian DPM provided a clear picture of clinical and neurological progression within each mutation group. Neuroimaging and NfL captured early progression rates (1 SD from controls) 5‐10 years before symptom onset. After symptom onset, CDR®+NACC‐FTLD box score was the most sensitive measure of disease progression. GRN mutation carriers had the largest annual progression rates (and lowest variability) compared to MAPT and C9orf72. Between 5 years pre‐ and 10 years post‐onset, CDR®+NACC‐FTLD box score progressed by 2 units/year (SD=2.7) in GRN mutation carriers ‐ almost twice the rate of progression in MAPT (M=1.2;SD=2.5) and C9orf72 (M=1.1;SD=2.2) mutation carriers. Compared to a trial enrolling only early symptomatic cases (CDR®+NACC‐FTLD=0.5 or 1), utilizing latent disease age would facilitate enrollment of asymptomatic cases with the same power.ConclusionBased on an estimation of symptom onset, Bayesian DPMs suggest clinical trials in GRN mutation carriers would require the smallest sample sizes. Furthermore, leveraging these DPMs would allow novel, powerful trial designs that may facilitate greater participant enrollment.

AbstractBackgroundImmune dysregulation may influence disease pathogenesis in familial frontotemporal dementia (fFTD), but the utility of peripheral biomarkers of inflammation remains unclear in this cohort. We sought to investigate candidate plasma biomarkers of immune function within a large cohort of fFTD kindreds from the ARTFL and LEFFTDS Consortia.MethodsWe examined plasma samples from 148 non‐carrier healthy controls and 256 asymptomatic and symptomatic individuals carrying autosomal dominant fFTD‐associated mutations (n=73 MAPT, n=120 C9ORF72, and n=63 GRN). ELISA was used to measure three plasma biomarkers of inflammation (YKL‐40, TNF‐α,IL‐6). We used Mann–Whitney U tests to compare concentrations amongst controls and subgroups of fFTD differing in disease severity, defined by the Clinical Dementia Rating Scale plus National Alzheimer’s Disease Coordinating Center Frontotemporal Lobar Degeneration Behavior and Language Domains (CDR® plus NACC FTLD) global score (asymptomatic=0, early symptomatic=0.5, late symptomatic ≥1). We also used linear mixed models to assess the utility of baseline inflammatory biomarkers in predicting the subsequent annual rate of decline in functional clinical severity (CDR® plus NACC FTLD sum of boxes) and psychomotor speed (Trails A).ResultsPlasma YKL‐40 concentrations were elevated in late symptomatic fFTD (59.3ng/ml [50.1]) relative to controls (32.9ng/ml [24.0]) (p=0.0003) and asymptomatic mutation carriers (30.9ng/ml [25.4], p=0.0001). Plasma TNF‐α concentrations were relatively low in asymptomatic mutation carriers (1.96pg/ml [0.56]) compared to early symptomatic fFTD (2.35pg/ml [0.83], p= 0.009). Amongst mutation carriers (including 140 with follow up clinical data), higher baseline plasma IL‐6 and YKL‐40 concentrations were associated with greater increase in functional clinical severity and declines in psychomotor speed, respectively.ConclusionPlasma biomarkers of inflammation increase with disease severity in fFTD and predict worse clinical trajectories. While the role of inflammation remains unclear in familial FTD, plasma markers of inflammation appear to reflect the processes influencing disease trajectory in patients carrying mutations associated with familial frontotemporal dementia.