Publications by authors named "F J Martinez"

Background: Behavioral and educational interventions are promising approaches to improve health-related quality of life (HRQOL), however few have been studied in Hypersensitivity Pneumonitis (HP) or other interstitial lung diseases (ILD). The objective of this study was to gather ILD clinicians' current practices and perspectives on the management of HRQOL and disease-specific education in HP, knowledge and attitudes about behavioral and educational interventions, and identify potential clinician perceived barriers to address during intervention development.

Methods: An electronic survey was administered to ILD clinicians across the United States.

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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.

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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.

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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.

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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.

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