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      Unsupervised Exercise in Interstitial Lung Disease : A Delphi Study to Develop a Consensus Preparticipation Screening Tool for Lymphangioleiomyomatosis

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          Abstract

          Background

          Little research is available to provide practical guidance to health care providers for exercise preparticipation screening and referral of patients with interstitial lung diseases (ILDs), including lymphangioleiomyomatosis (LAM), to participate in remote, unsupervised exercise programs.

          Research Question

          What exercise preparticipation screening steps are essential to determine whether a patient with LAM is medically appropriate to participate in a remote, unsupervised exercise program?

          Study Design and Methods

          Sixteen experts in LAM and ILD participated in a two-round modified Delphi study, ranking their level of agreement for 10 statements related to unsupervised exercise training in LAM, with an a priori definition of consensus. Additionally, 60 patients with LAM completed a survey of the perceived risks and benefits of remote exercise training in LAM.

          Results

          Seven of the 10 statements reached consensus among experts. Experts agreed that an in-person clinical exercise test is indicated to screen for exercise-induced hypoxemia and prescribe supplemental oxygen therapy as indicated prior to initiating a remote exercise program. Patients with recent pneumothorax should wait to start an exercise program for at least 4 weeks until after resolution of pneumothorax and clearance by a physician. Patients with high cardiovascular risk for event during exercise, severe resting pulmonary hypertension, or risk for falls may be more appropriate for referral to a rehabilitation center. A LAM-specific remote exercise preparticipation screening tool was developed from the consensus statements and agreed upon by the panelists.

          Interpretation

          A modified Delphi study approach was useful to develop disease-specific recommendations for safety and preparticipation screening prior to unsupervised, remotely administered exercise in LAM. The primary product of this study is a clinical decision aid for providers to use when medically screening patients prior to participation in the newly launched LAM Fit remote exercise program.

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          Most cited references57

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          The REDCap consortium: Building an international community of software platform partners

          The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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            GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

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                Author and article information

                Contributors
                Journal
                Chest
                Chest
                Chest
                American College of Chest Physicians
                0012-3692
                1931-3543
                16 July 2024
                November 2024
                16 July 2024
                : 166
                : 5
                : 1108-1123
                Affiliations
                [a ]Department of Rehabilitation Medicine, Division of Physical Therapy, University of Washington, Seattle, WA
                [b ]Department of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, WA
                [c ]University of Rochester, Rochester, NY
                [d ]University of Cincinnati, Cincinnati, OH
                [e ]Critical Care Medicine and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
                [f ]Medical University of South Carolina, Charleston, SC
                [g ]Monash University and Alfred Health, Melbourne, VIC, Australia
                [h ]Institute for Breathing and Sleep, Melbourne, VIC, Australia
                [i ]University of Michigan, Ann Arbor, MI
                [j ]St. Vincent’s University Hospital Dublin, Dublin, Ireland
                [k ]University College Dublin, Dublin, Ireland
                [l ]University of Florida, Gainesville, FL
                [m ]Mayo Clinic, Rochester, MN
                [n ]Division of Pulmonary and Critical Care, Loyola University Chicago, Stritch School of Medicine, Maywood, IL
                [o ]National Jewish Health, Denver, CO
                [p ]VA Puget Sound Health Care System, Seattle, WA
                Author notes
                [] CORRESPONDENCE TO: Mary Beth Brown, PT, PhD mbbrown1@ 123456uw.edu
                Article
                S0012-3692(24)04613-0
                10.1016/j.chest.2024.06.3803
                11562656
                39025205
                7210f020-be84-4211-84c9-f8d1018d2f5b
                © 2024 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Categories
                Diffuse Lung Disease: Guidelines and Consensus Statements

                Respiratory medicine
                delphi study,digital health,exercise risk stratification,exercise training,interstitial lung disease,lam,lymphangioleiomyomatosis,preparticipation screening,remote monitoring

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