Clinicopathologic Features of Antibrush Border Antibody Disease.

Introduction: Antibrush border antibody disease (ABBA) is an autoimmune tubulointerstitial kidney disease that primarily affects older individuals and results in progressive kidney failure. It is rare with only 20 reported cases. Here, we describe a case series to further define the clinicopathologic spectrum and natural history, and to inform management.

Anti-LRP2 nephropathy with concurrent kidney infiltration by lymphoma.

Anti-low-density lipoprotein receptor-related lipoprotein 2 (LRP2) nephropathy/anti-brush border antibody disease is rare and characterized by tubular basement membrane, Bowman's capsule and glomerular subepithelial immune deposits on kidney biopsy. No reported cases have occurred in patients with lymphoproliferative disorders or monoclonal gammopathies. We present two cases of anti-LRP2 nephropathy that occurred in patients with progressive low-grade B-cell lymphoma and had concurrent kidney infiltration by lymphoma on biopsy.

Outcomes of a Culturally Tailored Partially Randomized Patient Preference Controlled Trial to Increase Physical Activity Among Low-Income Immigrant Latinas.

Introduction: Almost half (47.8%) of adult Latinas report they never engage in any leisure time physical activity (PA) which is an independent risk factor for the development of cardiovascular disease and other chronic illnesses. There is a pressing need to develop and test PA interventions among Latinas.

Measuring the Severity of Neonatal Seizures: Temporal-Spatial Burden.

Purpose: The American Clinical Neurophysiology Society recommends measuring neonatal seizures' severity by their frequency (number of seizures-anywhere per hour), burden (percentage of time with seizures-anywhere), or on a region-by-region, temporal-spatial basis. This study compares two reduced-channel montages for temporal-spatial seizure burden analyses and examines the agreement of seizures' quantification among these three methodologies.

Methods: A convenience sample of 10 neonatal electroencephalograms was annotated for the beginnings and ends of seizures, which appeared anywhere in the full neonatal montage, then repeated on a more precise, region-by-region basis using 2 reduced-channel montages A and B.

VARIABLE SELECTION FOR HIGH DIMENSIONAL MULTIVARIATE OUTCOMES.

We consider variable selection for high-dimensional multivariate regression using penalized likelihoods when the number of outcomes and the number of covariates might be large. To account for within-subject correlation, we consider variable selection when a working precision matrix is used and when the precision matrix is jointly estimated using a two-stage procedure. We show that under suitable regularity conditions, penalized regression coefficient estimators are consistent for model selection for an arbitrary working precision matrix, and have the oracle properties and are efficient when the true precision matrix is used or when it is consistently estimated using sparse regression.