Aicardi-Goutières syndrome type 6: report of ADAR variant and clinical outcome after ruxolitinib treatment in the neonatal period.

Background: Aicardi-Goutières Syndrome is a monogenic type 1 interferonopathy with infantile onset, characterized by a variable degree of neurological damage. Approximately 7% of Aicardi-Goutières Syndrome cases are caused by pathogenic variants in the ADAR gene and are classified as Aicardi-Goutières Syndrome type 6. Here, we present a new homozygous pathogenic variant in the ADAR gene.

Clinical Characteristics and Outcomes of Patients With Heart Failure With Preserved Ejection Fraction and With Reduced Ejection Fraction According to the Prognostic Nutritional Index: Findings From PARADIGM-HF and PARAGON-HF.

Background: The importance of nutritional status is underappreciated in patients with heart failure (HF). This study aimed to describe the range of the prognostic nutrition index (PNI), and the clinical characteristics and outcomes according to PNI, in patients with HF with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF). The primary outcome was the composite of HF hospitalization or cardiovascular death.

Impact of the CAPTURE COPD Screening Tool in US Primary Care: A Cluster Randomized Trial.

The impact of COPD screening on US primary care clinician behavior and patient outcomes is unclear. Assess the impact of receiving CAPTURE (COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk) screening scores on clinical and patient outcomes. Cluster randomized trial included 49 usual care (COPD education only) and 51 intervention (COPD and CAPTURE education plus screening scores) primary care practices.

Computational deconvolution of cell type-specific gene expression in COPD and IPF lungs reveals disease severity associations.

Background: Chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF) are debilitating diseases associated with divergent histopathological changes in the lungs. At present, due to cost and technical limitations, profiling cell types is not practical in large epidemiology cohorts (n > 1000). Here, we used computational deconvolution to identify cell types in COPD and IPF lungs whose abundances and cell type-specific gene expression are associated with disease diagnosis and severity.