Publications by authors named "Inga Ksovreli"

Interpreting the radiologic data in conjunction with an objective clinical score could help to harmonize idiopathic pulmonary fibrosis (IPF) diagnosis and improve accuracy. We sought to establish and validate a multivariable objective scoring model based on clinical parameters by stratifying the risk of patients having IPF diagnosed versus having other forms of interstitial lung disease (ILD) diagnosis. A clinical score was derived from review of patients evaluated at the Inova Fairfax ILD Program and validated in three distinct cohorts.

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Research Question: There is no widely accepted grading system for IPF disease severity, although physiologic impairment based on pulmonary function testing is frequently employed. We sought to describe clinical and functional characteristics as well as outcomes of patients with severe physiologic impairment.

Patients And Methods: IPF patients with severe physiologic impairment defined by FVC ≤ 50% and/or DLco ≤ 30% predicted evaluated in the Inova Advanced Lung Disease Program between 2011 and 2019 were included.

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Background And Aims: Chest high-resolution computed tomography (HRCT) is the central diagnostic tool in discerning idiopathic pulmonary fibrosis (IPF) from other interstitial lung disease (ILDs). In 2018, new guidelines were published and the nomenclature for HRCT interpretation was changed. We sought to evaluate how clinicians' interpretation would change based on reading HRCTs under the framework of the old new categorization.

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Video-assisted thoracoscopic surgery (VATS) remains the gold standard for interstitial lung disease (ILD) characterization when histology is deemed necessary. There is diminishing use of VATS owing to increased reliance on high-resolution computed tomographic patterns, as well as concerns regarding the potential morbidity and mortality of the procedure. The goal of this study was to evaluate the safety and tolerability of VATS among a broad group of patients with ILD referred to a tertiary care center.

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