1
|
Mismetti V, Si-Mohamed S, Cottin V. Interstitial Lung Disease Associated with Systemic Sclerosis. Semin Respir Crit Care Med 2024; 45:342-364. [PMID: 38714203 DOI: 10.1055/s-0044-1786698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
Systemic sclerosis (SSc) is a rare autoimmune disease characterized by a tripod combining vasculopathy, fibrosis, and immune-mediated inflammatory processes. The prevalence of interstitial lung disease (ILD) in SSc varies according to the methods used to detect it, ranging from 25 to 95%. The fibrotic and vascular pulmonary manifestations of SSc, particularly ILD, are the main causes of morbidity and mortality, contributing to 35% of deaths. Although early trials were conducted with cyclophosphamide, more recent randomized controlled trials have been performed to assess the efficacy and tolerability of several medications, mostly mycophenolate, rituximab, tocilizumab, and nintedanib. Although many uncertainties remain, expert consensus is emerging to optimize the therapeutic management and to provide clinicians with evidence-based clinical practice guidelines for patients with SSc-ILD. This article provides an overview, in the light of the latest advances, of the available evidence for the diagnosis and management of SSc-ILD.
Collapse
Affiliation(s)
- Valentine Mismetti
- Department of Respiratory Medicine, National Coordinating Reference Centre for Rare Pulmonary Diseases, ERN-LUNG, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France
| | - Salim Si-Mohamed
- INSA-Lyon, University of Lyon, University Claude-Bernard Lyon 1, Lyon, France
- Radiology Department, Hospices Civils de Lyon, Lyon, France
| | - Vincent Cottin
- Department of Respiratory Medicine, National Coordinating Reference Centre for Rare Pulmonary Diseases, ERN-LUNG, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France
- UMR 754, INRAE, Claude Bernard University Lyon 1, Lyon, France
| |
Collapse
|
2
|
Landini N, Orlandi M, Calistri L, Nardi C, Ciet P, Bellando-Randone S, Guiducci S, Benkert T, Panebianco V, Morana G, Matucci-Cerinic M, Colagrande S. Advanced and traditional chest MRI sequence for the clinical assessment of systemic sclerosis related interstitial lung disease, compared to CT: disease extent analysis and correlations with pulmonary function tests. Eur J Radiol 2024; 170:111239. [PMID: 38056347 DOI: 10.1016/j.ejrad.2023.111239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/22/2023] [Accepted: 11/26/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND MRI is a radiation-free emerging alternative to CT in systemic sclerosis related interstitial lung disease (SSc-ILD) assessment. We aimed to compare a T2 radial TSE and a PD UTE MRI sequence with CT in SSc-ILD extent evaluation and correlations with pulmonary function tests (PFT). MATERIAL AND METHODS 29 SSc-ILD patients underwent CT, MRI and PFT. ILD extent was visually assessed. Lin's concordance correlation coefficients (CCC) and Kruskal Wallis test (p-value < 0.05) were computed for inter-method comparison. Patients were divided in limited and extended disease, defining extended ILD with two methods: (A) ILD>30% or 10%20% or 20% with FVC%<70%. MRI Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV) and Accuracy were assessed. Pearson correlation coefficients r (p-value<0.025) were computed between ILD extents and PFT (FVC% and DLCO%). RESULTS Median ILD extents were 11%, 11%, 10% on CT, radial TSE and UTE, respectively. CCC between CT and MRI was 0.95 for both sequences (Kruskal-Wallis p-value=0.64). Sensitivity, Specificity, PPV, NPV and Accuracy in identifying extended disease were: (A) 87.5 %, 100 %, 100 %, 95.5 and 96.6 % with radial TSE and 87.5 %, 95.2 %, 87.5 %, 95.2 and 93.1 % with UTE; (B) 86.7 %, 86.4 %, 66.7 %, 95.0 % and 86.2 % for both sequences. Pearson r of CT, radial TSE and UTE ILD extents with FVC were -0.66, -0.60 and -0.68 with FVC, -0.59, -0.56 and -0.57 with DLCO, respectively (p<0.002). CONCLUSIONS MRI sequences may have similar accuracy to CT to determine SSc-ILD extent and severity, with analogous correlations with PFT.
Collapse
Affiliation(s)
- Nicholas Landini
- Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I Hospital, "Sapienza" Rome University, Rome, Italy.
| | - Martina Orlandi
- Department of Experimental and Clinical Medicine, Division of Rheumatology AOUC Careggi, University of Florence, Florence, Italy.
| | - Linda Calistri
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC, Florence, Italy.
| | - Cosimo Nardi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC, Florence, Italy.
| | - Pierluigi Ciet
- Department of Radiology and Nuclear Medicine, Erasmus MC - Sophia, Rotterdam, Netherlands; Department of Radiology, Policlinico Universitario, Cagliari, Italy.
| | - Silvia Bellando-Randone
- Department of Experimental and Clinical Medicine, Division of Rheumatology AOUC Careggi, University of Florence, Florence, Italy.
| | - Serena Guiducci
- Department of Experimental and Clinical Medicine, Division of Rheumatology AOUC Careggi, University of Florence, Florence, Italy.
| | - Thomas Benkert
- MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
| | - Valeria Panebianco
- Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I Hospital, "Sapienza" Rome University, Rome, Italy.
| | - Giovanni Morana
- Department of Radiology, S. Maria Ca' Foncello Regional Hospital, Treviso, Italy.
| | - Marco Matucci-Cerinic
- Department of Experimental and Clinical Medicine, Division of Rheumatology AOUC Careggi, University of Florence, Florence, Italy; Unit of Immunology, Rheumatology, Allergy and Rare Diseases (UnIRAR), IRCCS San Raffaele Hospital, Milan, Italy.
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC, Florence, Italy.
| |
Collapse
|
3
|
Petelytska L, Bonomi F, Cannistrà C, Fiorentini E, Peretti S, Torracchi S, Bernardini P, Coccia C, De Luca R, Economou A, Levani J, Matucci-Cerinic M, Distler O, Bruni C. Heterogeneity of determining disease severity, clinical course and outcomes in systemic sclerosis-associated interstitial lung disease: a systematic literature review. RMD Open 2023; 9:e003426. [PMID: 37940340 PMCID: PMC10632935 DOI: 10.1136/rmdopen-2023-003426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 10/02/2023] [Indexed: 11/10/2023] Open
Abstract
Objective The course of systemic sclerosis-associated interstitial lung disease (SSc-ILD) is highly variable and different from continuously progressive idiopathic pulmonary fibrosis (IPF). Most proposed definitions of progressive pulmonary fibrosis or SSc-ILD severity are based on the research data from patients with IPF and are not validated for patients with SSc-ILD. Our study aimed to gather the current evidence for severity, progression and outcomes of SSc-ILD.Methods A systematic literature review to search for definitions of severity, progression and outcomes recorded for SSc-ILD was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines in Medline, Embase, Web of Science and Cochrane Library up to 1 August 2023.Results A total of 9054 papers were reviewed and 342 were finally included. The most frequent tools used for the definition of SSc-ILD progression and severity were combined changes of carbon monoxide diffusing capacity (DLCO) and forced vital capacity (FVC), isolated FVC or DLCO changes, high-resolution CT (HRCT) extension and composite algorithms including pulmonary function test, clinical signs and HRCT data. Mortality was the most frequently reported long-term event, both from all causes or ILD related.Conclusions The studies presenting definitions of SSc-ILD 'progression', 'severity' and 'outcome' show a large heterogeneity. These results emphasise the need for developing a standardised, consensus definition of severe SSc-ILD, to link a disease specific definition of progression as a surrogate outcome for clinical trials and clinical practice.PROSPERO registration number CRD42022379254.Cite Now.
Collapse
Affiliation(s)
- Liubov Petelytska
- Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department Internal Medicine #3, Bogomolets National Medical University, Kiiv, Ukraine
| | - Francesco Bonomi
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Carlo Cannistrà
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Elisa Fiorentini
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Silvia Peretti
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Sara Torracchi
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Pamela Bernardini
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Carmela Coccia
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Riccardo De Luca
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Alessio Economou
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Juela Levani
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| | - Marco Matucci-Cerinic
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
- Unit of Immunology, Rheumatology, Allergy and Rare Diseases, San Raffaele Hospital, Milan, Italy
| | - Oliver Distler
- Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Cosimo Bruni
- Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence - Careggi University Hospital, Florence, Italy
| |
Collapse
|
4
|
Amati F, Bongiovanni G, Tonutti A, Motta F, Stainer A, Mangiameli G, Aliberti S, Selmi C, De Santis M. Treatable Traits in Systemic Sclerosis. Clin Rev Allergy Immunol 2023; 65:251-276. [PMID: 37603199 DOI: 10.1007/s12016-023-08969-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2023] [Indexed: 08/22/2023]
Abstract
Systemic sclerosis (SSc) is a chronic systemic disease within the spectrum of connective tissue diseases, specifically characterized by vascular abnormalities and inflammatory and fibrotic involvement of the skin and internal organs resulting in high morbidity and mortality. The clinical phenotype of SSc is heterogeneous, and serum autoantibodies together with the extent of skin involvement have a predictive value in the risk stratification. Current recommendations include an organ-based management according to the predominant involvement with only limited individual factors included in the treatment algorithm. Similar to what has been proposed for other chronic diseases, we hypothesize that a "treatable trait" approach based on relevant phenotypes and endotypes could address the unmet needs in SSc stratification and treatment to maximize the outcomes. We provide herein a comprehensive review and a critical discussion of the literature regarding potential treatable traits in SSc, focusing on established and candidate biomarkers, with the purpose of setting the bases for a precision medicine-based approach. The discussion, structured based on the organ involvement, allows to conjugate the pathogenetic mechanisms of tissue injury with the proposed predictors, particularly autoantibodies and other serum biomarkers. Ultimately, we are convinced that precision medicine is the ideal guide to manage a complex condition such as SSc for which available treatments are largely unsatisfactory.
Collapse
Affiliation(s)
- Francesco Amati
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Respiratory Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Gabriele Bongiovanni
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Antonio Tonutti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Francesca Motta
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Anna Stainer
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Respiratory Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Giuseppe Mangiameli
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Stefano Aliberti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Respiratory Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Carlo Selmi
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
- Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
| | - Maria De Santis
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| |
Collapse
|
5
|
Roofeh D, Brown KK, Kazerooni EA, Tashkin D, Assassi S, Martinez F, Wells AU, Raghu G, Denton CP, Chung L, Hoffmann-Vold AM, Distler O, Johannson KA, Allanore Y, Matteson EL, Kawano-Dourado L, Pauling JD, Seibold JR, Volkmann ER, Walsh SLF, Oddis CV, White ES, Barratt SL, Bernstein EJ, Domsic RT, Dellaripa PF, Conway R, Rosas I, Bhatt N, Hsu V, Ingegnoli F, Kahaleh B, Garcha P, Gupta N, Khanna S, Korsten P, Lin C, Mathai SC, Strand V, Doyle TJ, Steen V, Zoz DF, Ovalles-Bonilla J, Rodriguez-Pinto I, Shenoy PD, Lewandoski A, Belloli E, Lescoat A, Nagaraja V, Ye W, Huang S, Maher T, Khanna D. Systemic sclerosis associated interstitial lung disease: a conceptual framework for subclinical, clinical and progressive disease. Rheumatology (Oxford) 2023; 62:1877-1886. [PMID: 36173318 PMCID: PMC10152284 DOI: 10.1093/rheumatology/keac557] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 08/05/2022] [Accepted: 09/17/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To establish a framework by which experts define disease subsets in systemic sclerosis associated interstitial lung disease (SSc-ILD). METHODS A conceptual framework for subclinical, clinical and progressive ILD was provided to 83 experts, asking them to use the framework and classify actual SSc-ILD patients. Each patient profile was designed to be classified by at least four experts in terms of severity and risk of progression at baseline; progression was based on 1-year follow-up data. A consensus was reached if ≥75% of experts agreed. Experts provided information on which items were important in determining classification. RESULTS Forty-four experts (53%) completed the survey. Consensus was achieved on the dimensions of severity (75%, 60 of 80 profiles), risk of progression (71%, 57 of 80 profiles) and progressive ILD (60%, 24 of 40 profiles). For profiles achieving consensus, most were classified as clinical ILD (92%), low risk (54%) and stable (71%). Severity and disease progression overlapped in terms of framework items that were most influential in classifying patients (forced vital capacity, extent of lung involvement on high resolution chest CT [HRCT]); risk of progression was influenced primarily by disease duration. CONCLUSIONS Using our proposed conceptual framework, international experts were able to achieve a consensus on classifying SSc-ILD patients along the dimensions of disease severity, risk of progression and progression over time. Experts rely on similar items when classifying disease severity and progression: a combination of spirometry and gas exchange and quantitative HRCT.
Collapse
Affiliation(s)
- David Roofeh
- Department of Internal Medicine, Division of Rheumatology, Scleroderma Program, University of Michigan, Ann Arbor, MI, USA
| | - Kevin K Brown
- Department of Medicine, National Jewish Health, Denver, CO, USA
| | - Ella A Kazerooni
- Department of Internal Medicine, Division of Rheumatology, Scleroderma Program, University of Michigan, Ann Arbor, MI, USA
- Department of Radiology, Division of Cardiothoracic Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Donald Tashkin
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Shervin Assassi
- Department of Internal Medicine, Division of Rheumatology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Fernando Martinez
- Department of Internal Medicine, Division of Pulmonary Critical Care Medicine, Weill Cornell School of Medicine, New York, NY, USA
| | - Athol U Wells
- Department of Internal Medicine, Division of Pulmonology, Royal Brompton Hospital and National Heart and Lung Institute, London, UK
| | - Ganesh Raghu
- Department of Internal Medicine, Division of Pulmonology, Critical Care and Sleep Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Christopher P Denton
- Centre for Rheumatology, Division of Medicine, University College London, London, UK
| | - Lorinda Chung
- Department of Internal Medicine, Division of Immunology and Rheumatology, Stanford University, and Palo Alto VA Health Care System, Palo Alto, CA, USA
| | | | - Oliver Distler
- Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kerri A Johannson
- Departments of Medicine and Community Health Sciences, Section of Respiratory Medicine, University of Calgary, Calgary, Canada
| | - Yannick Allanore
- Department of Rheumatology A, Cochin Hospital, APHP, Université de Paris, Paris, France
| | - Eric L Matteson
- Department of Internal Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA
| | - Leticia Kawano-Dourado
- HCor Research Institute, Hospital do Coração, São Paulo, Brazil
- Pulmonary Division, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
- INSERM 1152, University of Paris, Paris, France
| | - John D Pauling
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Department of Rheumatology, North Bristol NHS Trust, Southmead, Bristol, UK
| | | | - Elizabeth R Volkmann
- Department of Internal Medicine, Division of Rheumatology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Simon L F Walsh
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Chester V Oddis
- Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Eric S White
- Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA
| | - Shaney L Barratt
- Academic Respiratory Unit, School of Clinical Sciences, University of Bristol, Bristol, UK
- Bristol Interstitial Lung Disease Service, North Bristol NHS Trust, Southmead, Bristol, UK
| | - Elana J Bernstein
- Department of Internal Medicine, Division of Rheumatology, Columbia University School of Medicine, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Robyn T Domsic
- Department of Internal Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Paul F Dellaripa
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard Conway
- Department of Internal Medicine, Division of Rheumatology, Trinity College Dublin, University of Dublin, Dublin, Ireland
| | - Ivan Rosas
- Department of Internal Medicine, Division of Pulmonology, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Nitin Bhatt
- Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Vivien Hsu
- Department of Internal Medicine, Division of Rheumatology, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Francesca Ingegnoli
- Department of Clinical Sciences and Community Health, Research Center for Adult and Pediatric Rheumatic Diseases, Università degli Studi di Milano, Milano, Italy
| | - Bashar Kahaleh
- Department of Internal Medicine, Division of Rheumatology, University of Toledo Medical Center, Toledo, OH, USA
| | - Puneet Garcha
- Department of Internal Medicine, Division of Pulmonology, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Nishant Gupta
- Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Surabhi Khanna
- Department of Internal Medicine, Division of Rheumatology, University of Cincinnati, Cincinnati, OH, USA
| | - Peter Korsten
- Department of Nephrology and Rheumatology, University Medical Center Göttingen, Göttingen, Germany
| | - Celia Lin
- Genentech, Inc, San Francisco, CA, USA
| | - Stephen C Mathai
- Department of Internal Medicine, Division of Pulmonology, Critical Care and Sleep Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vibeke Strand
- Department of Internal Medicine, Division of Immunology and Rheumatology, Stanford University, Palo Alto, CA, USA
| | - Tracy J Doyle
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Virginia Steen
- Department of Internal Medicine, Division of Rheumatology, Georgetown University School of Medicine, Washington, DC, USA
| | - Donald F Zoz
- Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA
| | - Juan Ovalles-Bonilla
- Department of Rheumatology, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Ignasi Rodriguez-Pinto
- Autoimmune Disease Unit. Deaprtment of Internal Medicine. Hospital Mutua de Terrassa, University of Barcelona, Barcelona, Spain
| | - Padmanabha D Shenoy
- Department of Rheumatology, Center for Arthritis and Rheumatism Excellence, Kochi, Kerala, India
| | - Andrew Lewandoski
- Department of Internal Medicine, Division of Rheumatology, University of Michigan-Metro Health, Grand Rapids, MI, USA
| | - Elizabeth Belloli
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Alain Lescoat
- Department of Internal Medicine, Division of Rheumatology, Scleroderma Program, University of Michigan, Ann Arbor, MI, USA
- Department of Internal Medicine and Clinical Immunology, Rennes University Hospital, Rennes, France
- Univ Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, Rennes, France
| | - Vivek Nagaraja
- Department of Internal Medicine, Division of Rheumatology, Scleroderma Program, University of Michigan, Ann Arbor, MI, USA
| | - Wen Ye
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Suiyuan Huang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Toby Maher
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dinesh Khanna
- Department of Internal Medicine, Division of Rheumatology, Scleroderma Program, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
6
|
Landini N, Orlandi M, Bruni C, Carlesi E, Nardi C, Calistri L, Morana G, Tomassetti S, Colagrande S, Matucci-Cerinic M. Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis–Interstitial Lung Disease: A Systematic Review. Front Med (Lausanne) 2022; 8:807982. [PMID: 35155484 PMCID: PMC8829727 DOI: 10.3389/fmed.2021.807982] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/06/2021] [Indexed: 12/18/2022] Open
Abstract
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.
Collapse
Affiliation(s)
- Nicholas Landini
- Department of Radiology, Ca' Foncello General Hospital, Treviso, Italy
- Department of Experimental and Clinical Biomedical Sciences, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy
- *Correspondence: Nicholas Landini
| | - Martina Orlandi
- Department of Experimental and Clinical Medicine, Division of Rheumatology, Azienda Ospedaliero-Universitaria Careggi and Scleroderma Unit, University of Florence, Florence, Italy
| | - Cosimo Bruni
- Department of Experimental and Clinical Medicine, Division of Rheumatology, Azienda Ospedaliero-Universitaria Careggi and Scleroderma Unit, University of Florence, Florence, Italy
| | - Edoardo Carlesi
- Department of Experimental and Clinical Biomedical Sciences, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy
| | - Cosimo Nardi
- Department of Experimental and Clinical Biomedical Sciences, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy
| | - Linda Calistri
- Department of Experimental and Clinical Biomedical Sciences, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy
| | - Giovanni Morana
- Department of Radiology, Ca' Foncello General Hospital, Treviso, Italy
| | - Sara Tomassetti
- Department of Experimental and Clinical Medicine, Careggi University Hospital, Florence, Italy
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy
| | - Marco Matucci-Cerinic
- Department of Experimental and Clinical Medicine, Division of Rheumatology, Azienda Ospedaliero-Universitaria Careggi and Scleroderma Unit, University of Florence, Florence, Italy
- Unit of Immunology, Rheumatology, Allergy and Rare Diseases, San Raffaele Scientific Institute, Istituti di Ricovero e Cura a Carattere Scientifico, Vita-Salute San Raffaele University, Milan, Italy
| |
Collapse
|
7
|
Yoo H, Hino T, Hwang J, Franks TJ, Han J, Im Y, Lee HY, Chung MP, Hatabu H, Lee KS. Connective tissue disease-related interstitial lung disease (CTD-ILD) and interstitial lung abnormality (ILA): Evolving concept of CT findings, pathology and management. Eur J Radiol Open 2022; 9:100419. [PMID: 35445144 PMCID: PMC9014394 DOI: 10.1016/j.ejro.2022.100419] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/20/2022] [Accepted: 03/28/2022] [Indexed: 12/19/2022] Open
Abstract
Connective tissue diseases (CTDs) demonstrating features of interstitial lung disease (ILD) include systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), systemic sclerosis (SSc), dermatomyositis (DM) and polymyositis (PM), ankylosing spondylitis (AS), Sjogren syndrome (SS), and mixed connective tissue disease (MCTD). On histopathology of lung biopsy in CTD-related ILDs (CTD-ILDs), multi-compartment involvement is an important clue, and when present, should bring CTD to the top of the list of etiologic differential diagnoses. Diverse histologic patterns including nonspecific interstitial pneumonia (NSIP), usual interstitial pneumonia (UIP), organizing pneumonia, apical fibrosis, diffuse alveolar damage, and lymphoid interstitial pneumonia can be seen on histology in patients with CTD-ILDs. Although proportions of ILDs vary, the NSIP pattern accounts for a large proportion, especially in SSc, DM and/or PM and MCTD, followed by the UIP pattern. In RA patients, interstitial lung abnormality (ILA) is reported to occur in approximately 20–60% of individuals of which 35–45% will have progression of the CT abnormality. Subpleural distribution and greater baseline ILA involvement are risk factors associated with disease progression. Asymptomatic CTD-ILDs or ILA patients with normal lung function and without evidence of disease progression can be followed without treatment. Immunosuppressive or antifibrotic agents for symptomatic and/or fibrosing CTD-ILDs can be used in patients who require treatment.
Collapse
|
8
|
Thoreau B, Eustache M, Fievet A, Lasfargues G, Plantier L, Diot E. Independent association between occupational exposure and decline of forced vital capacity in systemic sclerosis (SSc): a multicenter recruitment retrospective cohort study. Chest 2021; 161:1011-1021. [PMID: 34793760 DOI: 10.1016/j.chest.2021.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 10/22/2021] [Accepted: 11/03/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Although male sex is associated with poor prognosis in Systemic Sclerosis (SSc), it is unclear whether this association is independent of confounding factors such as occupational exposure to toxicants. RESEARCH QUESTION What is the respective impact of sex and occupational exposure on SSc patients' characteristics with a focus on lung function decline? STUDY DESIGN AND METHODS Patients with SSc (n=210, 55 males) underwent standardized quantitative assessment of occupational exposure through a cumulative exposure score (CES) in a multicenter recruitment retrospective cohort. Association of the CES with patients' characteristics was assessed. Mixed linear, logistic and Cox regression models were used to identify predictors of time variation of forced vital capacity (FVC) and the hemoglobin-corrected transfer coefficient for carbon monoxide in the lung (DLCOc). RESULTS Male sex was strongly associated with occupational exposure (OR=10.3, p<.0001). The CES was inversely correlated (r= -.20) and independently associated with decline in FVC over time and with occurrence of FVC decline ≥10% from baseline (p<.05). By contrast, the CES was not associated with decline in DLCOc or DLCOc decline ≥15%. There was no independent association between sex and decline in FVC or DLCOc. The prevalence of interstitial lung disease was similar across sex or occupational exposure. INTERPRETATION Occupational exposure to toxicants appears to independently predict decline of FVC in SSc patients, regardless of sex. Assessment of occupational exposure may be useful for SSc prognostication.
Collapse
Affiliation(s)
- Benjamin Thoreau
- Department of Internal Medicine and Clinical Immunology, Regional Competence Center for Systemic and Autoimmune Rare Diseases, Bretonneau Hospital, CHRU Tours, 2 Boulevard Tonnellé, Tours, France.
| | - Marine Eustache
- Department of Internal Medicine and Clinical Immunology, Regional Competence Center for Systemic and Autoimmune Rare Diseases, Bretonneau Hospital, CHRU Tours, 2 Boulevard Tonnellé, Tours, France
| | - Adèle Fievet
- Department of Pediatric Radiology, Clocheville Hospital, CHRU Tours, 49 boulevard Béranger, Tours, France
| | - Gérard Lasfargues
- Institut santé travail Paris-Est, Université Paris-Est Créteil, 61 avenue du Général de Gaulle, Créteil, France
| | - Laurent Plantier
- CEPR/INSERM UMR1100, Department of Pulmonology and Pulmonary Function Testing, CHRU Tours, Tours University, Tours, France
| | - Elisabeth Diot
- Department of Internal Medicine and Clinical Immunology, Regional Competence Center for Systemic and Autoimmune Rare Diseases, Bretonneau Hospital, CHRU Tours, 2 Boulevard Tonnellé, Tours, France
| |
Collapse
|
9
|
Detection, screening, and classification of interstitial lung disease in patients with systemic sclerosis. Curr Opin Rheumatol 2021; 32:497-504. [PMID: 32890027 DOI: 10.1097/bor.0000000000000741] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE OF REVIEW Interstitial lung disease (ILD) associates with disease burden and reduced life expectancy in systemic sclerosis (SSc). As ILD afflicts around 50% of SSc patients and is often present from early on, there is rationale for early and universal ILD screening. With the approval of the first SSc-ILD therapy last year, there is an increasing need for ILD classifications to assign the right treatment to the right patient. Here, we discuss recent advances on screening, detection, and classification of SSc-ILD. RECENT FINDINGS Although prospective datasets from a nationwide population-based SSc cohort confirm insufficient sensitivity of pulmonary function tests (PFTs) for ILD screening, they provide strong support for lung high resolution computed tomography (HRCT) as the primary tool to detect ILD. Lung ultrasound shows promise as an additional screening tool. Interpreting statements from a new European consensus on SSc-ILD management, we propose an urgent need for integrated SSc classification, grading ILD severity at time of diagnosis and evaluate risk for ILD progression. We discuss advances on potential parameters for such classification, including PFTs, quantitative HRCT analyses, patient-reported outcome measures, functional exercise capacity tests, and soluble biomarkers. SUMMARY Early screening to diagnose ILD is feasible. With new therapies at hand, there is a need for integrated ILD classification including severity grading and risk for progression.
Collapse
|
10
|
Verschakelen JA. Lung Shrinkage: An Additional CT Marker in the Follow-up of Fibrotic Interstitial Lung Disease. Radiology 2020; 298:199-200. [PMID: 33084508 DOI: 10.1148/radiol.2020203767] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Johny A Verschakelen
- From the Department of Radiology, University Hospitals Leuven, Herestraat 49, B-3000 Leuven, Belgium
| |
Collapse
|