Cargando…

Analysis of Granulomatous Lymphocytic Interstitial Lung Disease Using Two Scoring Systems for Computed Tomography Scans—A Retrospective Cohort Study

BACKGROUND: Granulomatous lymphocytic interstitial lung disease (GLILD) is present in about 20% of patients with common variable immunodeficiency disorders (CVID). GLILD is characterized by nodules, reticulation, and ground-glass opacities on CT scans. To date, large cohort studies that include sens...

Descripción completa

Detalles Bibliográficos
Autores principales: Meerburg, Jennifer J., Hartmann, Ieneke J. C., Goldacker, Sigune, Baumann, Ulrich, Uhlmann, Annette, Andrinopoulou, Eleni-Rosalina, Kemner v/d Corput, Mariette P. C., Warnatz, Klaus, Tiddens, Harm A. W. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662109/
https://www.ncbi.nlm.nih.gov/pubmed/33193417
http://dx.doi.org/10.3389/fimmu.2020.589148
_version_ 1783609330466029568
author Meerburg, Jennifer J.
Hartmann, Ieneke J. C.
Goldacker, Sigune
Baumann, Ulrich
Uhlmann, Annette
Andrinopoulou, Eleni-Rosalina
Kemner v/d Corput, Mariette P. C.
Warnatz, Klaus
Tiddens, Harm A. W. M.
author_facet Meerburg, Jennifer J.
Hartmann, Ieneke J. C.
Goldacker, Sigune
Baumann, Ulrich
Uhlmann, Annette
Andrinopoulou, Eleni-Rosalina
Kemner v/d Corput, Mariette P. C.
Warnatz, Klaus
Tiddens, Harm A. W. M.
author_sort Meerburg, Jennifer J.
collection PubMed
description BACKGROUND: Granulomatous lymphocytic interstitial lung disease (GLILD) is present in about 20% of patients with common variable immunodeficiency disorders (CVID). GLILD is characterized by nodules, reticulation, and ground-glass opacities on CT scans. To date, large cohort studies that include sensitive CT outcome measures are lacking, and severity of structural lung disease remains unknown. The aim of this study was to introduce and compare two scoring methods to phenotype CT scans of GLILD patients. METHODS: Patients were enrolled in the “Study of Interstitial Lung Disease in Primary Antibody Deficiency” (STILPAD) international cohort. Inclusion criteria were diagnosis of both CVID and GLILD, as defined by the treating immunologist and radiologist. Retrospectively collected CT scans were scored systematically with the Baumann and Hartmann methods. RESULTS: In total, 356 CT scans from 138 patients were included. Cross-sectionally, 95% of patients met a radiological definition of GLILD using both methods. Bronchiectasis was present in 82% of patients. Inter-observer reproducibility (intraclass correlation coefficients) of GLILD and airway disease were 0.84 and 0.69 for the Hartmann method and 0.74 and 0.42 for the Baumann method. CONCLUSIONS: In both the Hartmann and Baumann scoring method, the composite score GLILD was reproducible and therefore might be a valuable outcome measure in future studies. Overall, the reproducibility of the Hartmann method appears to be slightly better than that of the Baumann method. With a systematic analysis, we showed that GLILD patients suffer from extensive lung disease, including airway disease. Further validation of these scoring methods should be performed in a prospective cohort study involving routine collection of standardized CT scans. CLINICAL TRIAL REGISTRATION: https://www.drks.de, identifier DRKS00000799.
format Online
Article
Text
id pubmed-7662109
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-76621092020-11-13 Analysis of Granulomatous Lymphocytic Interstitial Lung Disease Using Two Scoring Systems for Computed Tomography Scans—A Retrospective Cohort Study Meerburg, Jennifer J. Hartmann, Ieneke J. C. Goldacker, Sigune Baumann, Ulrich Uhlmann, Annette Andrinopoulou, Eleni-Rosalina Kemner v/d Corput, Mariette P. C. Warnatz, Klaus Tiddens, Harm A. W. M. Front Immunol Immunology BACKGROUND: Granulomatous lymphocytic interstitial lung disease (GLILD) is present in about 20% of patients with common variable immunodeficiency disorders (CVID). GLILD is characterized by nodules, reticulation, and ground-glass opacities on CT scans. To date, large cohort studies that include sensitive CT outcome measures are lacking, and severity of structural lung disease remains unknown. The aim of this study was to introduce and compare two scoring methods to phenotype CT scans of GLILD patients. METHODS: Patients were enrolled in the “Study of Interstitial Lung Disease in Primary Antibody Deficiency” (STILPAD) international cohort. Inclusion criteria were diagnosis of both CVID and GLILD, as defined by the treating immunologist and radiologist. Retrospectively collected CT scans were scored systematically with the Baumann and Hartmann methods. RESULTS: In total, 356 CT scans from 138 patients were included. Cross-sectionally, 95% of patients met a radiological definition of GLILD using both methods. Bronchiectasis was present in 82% of patients. Inter-observer reproducibility (intraclass correlation coefficients) of GLILD and airway disease were 0.84 and 0.69 for the Hartmann method and 0.74 and 0.42 for the Baumann method. CONCLUSIONS: In both the Hartmann and Baumann scoring method, the composite score GLILD was reproducible and therefore might be a valuable outcome measure in future studies. Overall, the reproducibility of the Hartmann method appears to be slightly better than that of the Baumann method. With a systematic analysis, we showed that GLILD patients suffer from extensive lung disease, including airway disease. Further validation of these scoring methods should be performed in a prospective cohort study involving routine collection of standardized CT scans. CLINICAL TRIAL REGISTRATION: https://www.drks.de, identifier DRKS00000799. Frontiers Media S.A. 2020-10-30 /pmc/articles/PMC7662109/ /pubmed/33193417 http://dx.doi.org/10.3389/fimmu.2020.589148 Text en Copyright © 2020 Meerburg, Hartmann, Goldacker, Baumann, Uhlmann, Andrinopoulou, Kemner v/d Corput, Warnatz and Tiddens http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Meerburg, Jennifer J.
Hartmann, Ieneke J. C.
Goldacker, Sigune
Baumann, Ulrich
Uhlmann, Annette
Andrinopoulou, Eleni-Rosalina
Kemner v/d Corput, Mariette P. C.
Warnatz, Klaus
Tiddens, Harm A. W. M.
Analysis of Granulomatous Lymphocytic Interstitial Lung Disease Using Two Scoring Systems for Computed Tomography Scans—A Retrospective Cohort Study
title Analysis of Granulomatous Lymphocytic Interstitial Lung Disease Using Two Scoring Systems for Computed Tomography Scans—A Retrospective Cohort Study
title_full Analysis of Granulomatous Lymphocytic Interstitial Lung Disease Using Two Scoring Systems for Computed Tomography Scans—A Retrospective Cohort Study
title_fullStr Analysis of Granulomatous Lymphocytic Interstitial Lung Disease Using Two Scoring Systems for Computed Tomography Scans—A Retrospective Cohort Study
title_full_unstemmed Analysis of Granulomatous Lymphocytic Interstitial Lung Disease Using Two Scoring Systems for Computed Tomography Scans—A Retrospective Cohort Study
title_short Analysis of Granulomatous Lymphocytic Interstitial Lung Disease Using Two Scoring Systems for Computed Tomography Scans—A Retrospective Cohort Study
title_sort analysis of granulomatous lymphocytic interstitial lung disease using two scoring systems for computed tomography scans—a retrospective cohort study
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662109/
https://www.ncbi.nlm.nih.gov/pubmed/33193417
http://dx.doi.org/10.3389/fimmu.2020.589148
work_keys_str_mv AT meerburgjenniferj analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy
AT hartmannienekejc analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy
AT goldackersigune analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy
AT baumannulrich analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy
AT uhlmannannette analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy
AT andrinopoulouelenirosalina analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy
AT kemnervdcorputmariettepc analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy
AT warnatzklaus analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy
AT tiddensharmawm analysisofgranulomatouslymphocyticinterstitiallungdiseaseusingtwoscoringsystemsforcomputedtomographyscansaretrospectivecohortstudy