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Lederer, David J.

https://orcid.org/0000-0001-5258-0228

Mayo Clinic

Pulmonary Fibrosis Foundation

Citations 5

The Role of Surgical Lung Biopsy in the Diagnosis of Fibrotic Interstitial Lung Disease: Perspective from the Pulmonary Fibrosis Foundation
Roden, Anja C. , Manjarres, D.C. Gomez, Hartwig, Matthew G. , Kheir, Fayez , King, Christopher S. , Kreider, Maryl , Lynch, David A. , Mooney, Joshua J. , Muniappan, Ashok , Paoletti, Luca , Raj, Rishi , Suliman, Sally , Thavarajah, Krishna, Rudell, Frederick L., Bianchi, Pauline , Shea, Barry S. , Ley, Brett, Kheir, Fayez , Mooney, Joshua , Lederer, David J , Hariri, Lida P. , Chung, Jonathan Hero , Danoff, Sonye Karen , Myers, Jeffrey L. , Safdar, Zeenat , Lederer, David J.

Annals of the American Thoracic Society | May 18, 2021 | Volume: 18 | Issue: 10 | Pages: 1601-1609

10.1513/annalsats.202009-1179fr Get It

Abstract Diagnosis of interstitial lung disease (ILD) requires a multidisciplinary discussion approach that includes clinicians, radiologists, and pathologists. Surgical lung biopsy (SLB) is currently the recommended standard in obtaining pathologic specimens for patients with ILD requiring a tissue diagnosis. The increased diagnostic confidence and accuracy provided by microscopic pathology assessment of SLB specimens must be balanced with the associated risks in patients with ILD. This document was developed by the SLB Working Group of the Pulmonary Fibrosis Foundation, composed of a multidisciplinary group of ILD physicians, including pulmonologists, radiologists, pathologists, and thoracic surgeons. In this document, we present an up-to-date literature review of the indications, contraindications, risks, and alternatives to SLB in the diagnosis of fibrotic ILD; outline an integrated approach to the decision-making around SLB in the diagnosis of fibrotic ILD; and provide practical information to maximize the yield and safety of SLB.
Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals
Leisman, Daniel E. , Harhay, Michael O., Adjei, Alex A. , Bakker, Jan , Barreiro, Esther , Bell, Scott C. , Bernstein, Jonathan A. , Branson, Richard D. , Brusasco, Vito , Chalmers, James D. , Chokroverty, Sudhansu , Citerio, Giuseppe , Collop, Nancy A. , Cooke, Colin R. , Crapo, James D. , Donaldson, Gavin C. , Grainger, Emma, Herth, Felix , Marks, Guy B. , Moorman, J. Randall , Ost, David E. , Schätz, Michael , Smyth, Alan R , Stewart, Iain , Stewart, Paul W. , Swenson, Erik R. , Szymusiak, Ronald , Wedzicha, Jadwiga A. , Ost, David E , Bakker, Jan , Marks, Guy B , Chalmers, James D , Harhay, Michael Oscar , Lederer, David J. , Abramson, Michael John , Ballas, Zuhair K. , Bellomo, Rinaldo , Fitzgerald, Dominic A. , Hale, Lauren E. , Kochanek, Patrick Michael , Sheikh, Aziz , Teboul, Jean–Louis , Vincent, Jean‐Louis , Maslove, David M.

Critical Care Medicine | March 6, 2020 | Volume: 48 | Issue: 5 | Pages: 623-633

10.1097/ccm.0000000000004246 Get It

Prediction models aim to use available data to predict a health state or outcome that has not yet been observed. Prediction is primarily relevant to clinical practice, but is also used in research, and administration. While prediction modeling involves estimating the relationship between patient factors and outcomes, it is distinct from casual inference. Prediction modeling thus requires unique considerations for development, validation, and updating. This document represents an effort from editors at 31 respiratory, sleep, and critical care medicine journals to consolidate contemporary best practices and recommendations related to prediction study design, conduct, and reporting. Herein, we address issues commonly encountered in submissions to our various journals. Key topics include considerations for selecting predictor variables, operationalizing variables, dealing with missing data, the importance of appropriate validation, model performance measures and their interpretation, and good reporting practices. Supplemental discussion covers emerging topics such as model fairness, competing risks, pitfalls of “modifiable risk factors”, measurement error, and risk for bias. This guidance is not meant to be overly prescriptive; we acknowledge that every study is different, and no set of rules will fit all cases. Additional best practices can be found in the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines, to which we refer readers for further details.
Clinical Utility Analysis of the Envisia Genomic Classifier
Flaherty, Kevin R. , Groshong, Steve D. , Larsen, Brandon T. , Gauhar, Umair, Benzaquen, Sadia , Calero, Karel , Hagmeyer, Lars , Neville, Hannah, Pankratz, Daniel G., Choi, Y. , Huang, Jing , Lofaro, Lori , Lynch, David A. , Chung, Jonathan Hero , Lederer, David J. , Kennedy, G., Martínez, Fernando J.

D12. ILD: DIAGNOSIS AND PROGNOSIS | August 26, 2019 | Volume: No volume available | Issue: No issue available | Pages: A5837-A5837

10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a5837 Get It

Pulmonary Capillary Wedge Pressure Augments Right Ventricular Pulsatile Loading
Tedford, Ryan J. , Mathai, Stephen C. , Girgis, Reda E. , Thiemann, David R. , Cingolani, Oscar H. , Mudd, James O., Redfield, Margaret M. , Lederer, David J. , Hassoun, Paul M. , Russell, Stuart D. , Borlaug, Barry A. , Kass, David A. , Lederer, David J , Tedford, Ryan J , Mathai, Stephen C

Circulation | December 2, 2011 | Volume: 125 | Issue: 2 | Pages: 289-297

10.1161/circulationaha.111.051540 Get It

Background— Right ventricular failure from increased pulmonary vascular loading is a major cause of morbidity and mortality, yet its modulation by disease remains poorly understood. We tested the hypotheses that, unlike the systemic circulation, pulmonary vascular resistance (R PA ) and compliance (C PA ) are consistently and inversely related regardless of age, pulmonary hypertension, or interstitial fibrosis and that this relation may be changed by elevated pulmonary capillary wedge pressure, augmenting right ventricular pulsatile load. Methods and Results— Several large clinical databases with right heart/pulmonary catheterization data were analyzed to determine the R PA -C PA relationship with pulmonary hypertension, pulmonary fibrosis, patient age, and varying pulmonary capillary wedge pressure. Patients with suspected or documented pulmonary hypertension (n=1009) and normal pulmonary capillary wedge pressure displayed a consistent R PA -C PA hyperbolic (inverse) dependence, C PA =0.564/(0.047+R PA ), with a near-constant resistance-compliance product (0.48±0.17 seconds). In the same patients, the systemic resistance-compliance product was highly variable. Severe pulmonary fibrosis (n=89) did not change the R PA -C PA relation. Increasing patient age led to a very small but statistically significant change in the relation. However, elevation of the pulmonary capillary wedge pressure (n=8142) had a larger impact, significantly lowering C PA for any R PA and negatively correlating with the resistance-compliance product ( P <0.0001). Conclusions— Pulmonary hypertension and pulmonary fibrosis do not significantly change the hyperbolic dependence between R PA and C PA , and patient age has only minimal effects. This fixed relationship helps explain the difficulty of reducing total right ventricular afterload by therapies that have a modest impact on mean R PA . Higher pulmonary capillary wedge pressure appears to enhance net right ventricular afterload by elevating pulsatile, relative to resistive, load and may contribute to right ventricular dysfunction.