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      Idiopathic pulmonary fibrosis in the United States: time to diagnosis and treatment

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          Abstract

          Objective

          Create a timeline of diagnosis and treatment for IPF in the US.

          Design, setting, and participants

          A retrospective analysis was performed in collaboration with the OptumLabs Data Warehouse using an administrative claims database of Medicare Fee for Service beneficiaries. Adults 50 and over with IPF were included (2014 to 2019).

          Exposure

          To focus on IPF, the following diagnoses were excluded: post-inflammatory fibrosis, hypersensitivity pneumonitis, rheumatoid arthritis, sarcoidosis, scleroderma, and connective tissue disease.

          Main outcomes and measures

          Data were collected from periods prior, during, and following initial clinical diagnosis of IPF. This included prior respiratory diagnoses, number of respiratory-related hospitalizations, anti-fibrotic and oxygen use, and survival.

          Results

          A total of 44,891 with IPF were identified. The most common diagnoses prior to diagnosis of IPF were upper respiratory infections (47%), acute bronchitis (13%), other respiratory disease (10%), chronic obstructive pulmonary disease and bronchiectasis (7%), and pneumonia (6%). The average time to a diagnosis of IPF was 2.7 years after initial respiratory diagnosis. Half of patients had two or more respiratory-related hospitalizations prior to IPF diagnosis. Also, 37% of patients were prescribed oxygen prior to diagnosis of IPF. These observations suggest delayed diagnosis. We also observed only 10.4% were treated with anti-fibrotics. Overall survival declined each year after diagnosis with median survival of 2.80 years.

          Conclusions and relevance

          Our retrospective cohort demonstrates that IPF is often diagnosed late, usually preceded by other respiratory diagnoses and hospitalizations. Use of available therapies is low and outcomes remain poor.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12890-023-02565-7.

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          Most cited references20

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          Clinical course and prediction of survival in idiopathic pulmonary fibrosis.

          Idiopathic pulmonary fibrosis (IPF) is a progressive, life-threatening, interstitial lung disease of unknown etiology. The median survival of patients with IPF is only 2 to 3 years, yet some patients live much longer. Respiratory failure resulting from disease progression is the most frequent cause of death. To date we have limited information as to predictors of mortality in patients with IPF, and research in this area has failed to yield prediction models that can be reliably used in clinical practice to predict individual risk of mortality. The goal of this concise clinical review is to examine and summarize the current data on the clinical course, individual predictors of survival, and proposed clinical prediction models in IPF. Finally, we will discuss challenges and future directions related to predicting survival in IPF.
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            On the Interpretation of χ 2 from Contingency Tables, and the Calculation of P

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              Nintedanib in patients with progressive fibrosing interstitial lung diseases—subgroup analyses by interstitial lung disease diagnosis in the INBUILD trial: a randomised, double-blind, placebo-controlled, parallel-group trial

              The INBUILD trial investigated the efficacy and safety of nintedanib versus placebo in patients with progressive fibrosing interstitial lung diseases (ILDs) other than idiopathic pulmonary fibrosis (IPF). We aimed to establish the effects of nintedanib in subgroups based on ILD diagnosis.
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                Author and article information

                Contributors
                limper.andrew@mayo.edu
                Journal
                BMC Pulm Med
                BMC Pulm Med
                BMC Pulmonary Medicine
                BioMed Central (London )
                1471-2466
                2 August 2023
                2 August 2023
                2023
                : 23
                : 281
                Affiliations
                [1 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Pulmonary and Critical Care Medicine, , Mayo Clinic, ; Gonda 18-South, 200 1st St SW, Rochester, MN 55905 USA
                [2 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, , Mayo Clinic, ; Gonda 18-South, 200 1st St SW, Rochester, MN 55905 USA
                [3 ]OptumLabs ®, 1 Main Street #10, Cambridge, MA 02142 USA
                [4 ]GRID grid.453002.0, ISNI 0000 0001 2331 3497, David Grant Medical Center, , US Air Force, ; Travis AFB, CA 94535 USA
                Article
                2565
                10.1186/s12890-023-02565-7
                10398946
                37532984
                275de270-8651-4c06-b62b-5d975ed19243
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 12 December 2022
                : 16 July 2023
                Funding
                Funded by: Three Lakes Foundation
                Award ID: TLF-1
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Respiratory medicine
                idiopathic pulmonary fibrosis,diagnosis,treatment,oxygen,mortality
                Respiratory medicine
                idiopathic pulmonary fibrosis, diagnosis, treatment, oxygen, mortality

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