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Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review

OBJECTIVE: Although interstitial lung disease (ILD) is a major cause of morbidity and mortality in systemic sclerosis (SSc), its prognostication remains challenging. Given that CT represents the gold standard imaging technique in ILD assessment, a systematic review on chest CT findings as predictors...

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Autores principales: Landini, Nicholas, Orlandi, Martina, Bruni, Cosimo, Carlesi, Edoardo, Nardi, Cosimo, Calistri, Linda, Morana, Giovanni, Tomassetti, Sara, Colagrande, Stefano, Matucci-Cerinic, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829727/
https://www.ncbi.nlm.nih.gov/pubmed/35155484
http://dx.doi.org/10.3389/fmed.2021.807982
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author Landini, Nicholas
Orlandi, Martina
Bruni, Cosimo
Carlesi, Edoardo
Nardi, Cosimo
Calistri, Linda
Morana, Giovanni
Tomassetti, Sara
Colagrande, Stefano
Matucci-Cerinic, Marco
author_facet Landini, Nicholas
Orlandi, Martina
Bruni, Cosimo
Carlesi, Edoardo
Nardi, Cosimo
Calistri, Linda
Morana, Giovanni
Tomassetti, Sara
Colagrande, Stefano
Matucci-Cerinic, Marco
author_sort Landini, Nicholas
collection PubMed
description OBJECTIVE: Although interstitial lung disease (ILD) is a major cause of morbidity and mortality in systemic sclerosis (SSc), its prognostication remains challenging. Given that CT represents the gold standard imaging technique in ILD assessment, a systematic review on chest CT findings as predictors of mortality or ILD progression in SSc-ILD was performed. MATERIALS AND METHODS: Three databases (Medline, Embase, and Web of Science) were searched to identify all studies analyzing CT mortality or ILD progression predictors in SSc-ILD, from inception to December 2020. ILD progression was defined by worsening of forced vital capacity and/or CT ILD findings. Manuscripts not written in English, with not available full-text, not focusing on SSc-ILD or with SSc-ILD not extrapolated, otherwise with overlap syndromes, pediatric patients, <10 cases or predictors other than CT features were excluded. RESULTS: Out of 3,513 citations, 15 full-texts (2,332 patients with SSc-ILD) met the inclusion criteria. ILD extent and extensive ILD, ILD densitometric analysis parameters, fibrotic extent and reticulation extent resulted as independent mortality predictors. Extensive ILD is also an independent predictor of death, need for supplemental oxygen or lung transplantation. Honeycombing extent is an independent risk factor for respiratory mortality. Independent predictors of ILD progression were not identified. CONCLUSIONS: ILD extent and extensive ILD independently predict mortality in SSc-ILD on CT, as well as ILD densitometric analysis, fibrotic extent and reticulation extent. Extensive ILD is also a predictor of death, need for supplemental oxygen, or lung transplantation. Honeycombing extent predicts respiratory mortality. CT predictors of ILD progression need to be further investigated. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/, PROSPERO, identifier: CRD420202005001.
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spelling pubmed-88297272022-02-11 Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review Landini, Nicholas Orlandi, Martina Bruni, Cosimo Carlesi, Edoardo Nardi, Cosimo Calistri, Linda Morana, Giovanni Tomassetti, Sara Colagrande, Stefano Matucci-Cerinic, Marco Front Med (Lausanne) Medicine OBJECTIVE: Although interstitial lung disease (ILD) is a major cause of morbidity and mortality in systemic sclerosis (SSc), its prognostication remains challenging. Given that CT represents the gold standard imaging technique in ILD assessment, a systematic review on chest CT findings as predictors of mortality or ILD progression in SSc-ILD was performed. MATERIALS AND METHODS: Three databases (Medline, Embase, and Web of Science) were searched to identify all studies analyzing CT mortality or ILD progression predictors in SSc-ILD, from inception to December 2020. ILD progression was defined by worsening of forced vital capacity and/or CT ILD findings. Manuscripts not written in English, with not available full-text, not focusing on SSc-ILD or with SSc-ILD not extrapolated, otherwise with overlap syndromes, pediatric patients, <10 cases or predictors other than CT features were excluded. RESULTS: Out of 3,513 citations, 15 full-texts (2,332 patients with SSc-ILD) met the inclusion criteria. ILD extent and extensive ILD, ILD densitometric analysis parameters, fibrotic extent and reticulation extent resulted as independent mortality predictors. Extensive ILD is also an independent predictor of death, need for supplemental oxygen or lung transplantation. Honeycombing extent is an independent risk factor for respiratory mortality. Independent predictors of ILD progression were not identified. CONCLUSIONS: ILD extent and extensive ILD independently predict mortality in SSc-ILD on CT, as well as ILD densitometric analysis, fibrotic extent and reticulation extent. Extensive ILD is also a predictor of death, need for supplemental oxygen, or lung transplantation. Honeycombing extent predicts respiratory mortality. CT predictors of ILD progression need to be further investigated. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/, PROSPERO, identifier: CRD420202005001. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8829727/ /pubmed/35155484 http://dx.doi.org/10.3389/fmed.2021.807982 Text en Copyright © 2022 Landini, Orlandi, Bruni, Carlesi, Nardi, Calistri, Morana, Tomassetti, Colagrande and Matucci-Cerinic. https://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 Medicine
Landini, Nicholas
Orlandi, Martina
Bruni, Cosimo
Carlesi, Edoardo
Nardi, Cosimo
Calistri, Linda
Morana, Giovanni
Tomassetti, Sara
Colagrande, Stefano
Matucci-Cerinic, Marco
Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review
title Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review
title_full Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review
title_fullStr Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review
title_full_unstemmed Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review
title_short Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review
title_sort computed tomography predictors of mortality or disease progression in systemic sclerosis–interstitial lung disease: a systematic review
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829727/
https://www.ncbi.nlm.nih.gov/pubmed/35155484
http://dx.doi.org/10.3389/fmed.2021.807982
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