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      Cardiopulmonary assessment of patients with systemic sclerosis for hematopoietic stem cell transplantation: recommendations from the European Society for Blood and Marrow Transplantation Autoimmune Diseases Working Party and collaborating partners

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          Abstract

          Systemic sclerosis (SSc) is a rare disabling autoimmune disease with a similar mortality to many cancers. Two randomized controlled trials of autologous hematopoietic stem cell transplantation (AHSCT) for SSc have shown significant improvement in organ function, quality of life and long-term survival compared to standard therapy. However, transplant-related mortality (TRM) ranged from 3–10% in patients undergoing HSCT. In SSc, the main cause of non-transplant and TRM is cardiac related. We therefore updated the previously published guidelines for cardiac evaluation, which should be performed in dedicated centers with expertize in HSCT for SSc. The current recommendations are based on pre-transplant cardiopulmonary evaluations combining pulmonary function tests, echocardiography, cardiac magnetic resonance imaging and invasive hemodynamic testing, initiated at Northwestern University (Chicago) and subsequently discussed and endorsed within the EBMT ADWP in 2016.

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          Most cited references44

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          Expert consensus for multimodality imaging evaluation of adult patients during and after cancer therapy: a report from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.

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            Inter and intraobserver variability of total skin thickness score (modified Rodnan TSS) in systemic sclerosis.

            Assessment of the inter and intraobserver variability of the modified Rodnan (m-Rodnan) total skin thickness score by clinical palpation [a commonly used outcome measure in trials of systemic sclerosis (SSc)]. Skin thickness was assessed by clinical palpation of 17 body areas on 0 to 3 scale (normal, mild, moderate, severe). The m-Rodnan total skin thickness score was derived by summation of the scores from all 17 body areas. Using the m-Rodnan, 6-7 investigators assessed skin thickness in 5-6 patients with SSc (22 patients and 23 examiners total) at each of 4 sessions for the determination of interobserver variability (accuracy). In addition 21 of the investigators then assessed m-Rodnan in 2-3 patients each (60 patients total) 3 times over a 2-8 week period to quantitate intraobserver variability (reliability). Interobserver and intraobserver mean +/- within patient standard deviations (SD) for the m-Rodnan were found to be 17.7 +/- 4.6 and 20.7 +/- 2.45, respectively. The m-Rodnan total skin thickness score is at least as reliable for measuring skin thickness in SSc as are the ARA and Ritchie joint tenderness counts for assessing joint disease in rheumatoid arthritis. These data are useful for the determination of sample size and for the definitions of clinically meaningful response. Assessment of skin score is sufficiently reproducible to include as a measure of disease outcome, especially if patients are serially evaluated by the same investigator.
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              Evidence-based detection of pulmonary arterial hypertension in systemic sclerosis: the DETECT study

              Objective Earlier detection of pulmonary arterial hypertension (PAH), a leading cause of death in systemic sclerosis (SSc), facilitates earlier treatment. The objective of this study was to develop the first evidence-based detection algorithm for PAH in SSc. Methods In this cross-sectional, international study conducted in 62 experienced centres from North America, Europe and Asia, adults with SSc at increased risk of PAH (SSc for >3 years and predicted pulmonary diffusing capacity for carbon monoxide <60%) underwent a broad panel of non-invasive assessments followed by diagnostic right heart catheterisation (RHC). Univariable and multivariable analyses selected the best discriminatory variables for identifying PAH. After assessment for clinical plausibility and feasibility, these were incorporated into a two-step, internally validated detection algorithm. Nomograms for clinical practice use were developed. Results Of 466 SSc patients at increased risk of PAH, 87 (19%) had RHC-confirmed PAH. PAH was mild (64% in WHO functional class I/II). Six simple assessments in Step 1 of the algorithm determined referral to echocardiography. In Step 2, the Step 1 prediction score and two echocardiographic variables determined referral to RHC. The DETECT algorithm recommended RHC in 62% of patients (referral rate) and missed 4% of PAH patients (false negatives). By comparison, applying European Society of Cardiology/European Respiratory Society guidelines to these patients, 29% of diagnoses were missed while requiring an RHC referral rate of 40%. Conclusions The novel, evidence-based DETECT algorithm for PAH detection in SSc is a sensitive, non-invasive tool which minimises missed diagnoses, identifies milder disease and addresses resource usage.
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                Author and article information

                Journal
                Bone Marrow Transplant
                Bone Marrow Transplant
                Bone Marrow Transplantation
                Nature Publishing Group
                0268-3369
                1476-5365
                November 2017
                22 May 2017
                : 52
                : 11
                : 1495-1503
                Affiliations
                [1 ]Department of Internal Medicine, Unité Clinique de Médecine Interne, Maladies Auto-immunes et Pathologie Vasculaire, UF 04, Hôpital Saint-Louis, AP-HP Assistance Publique des Hôpitaux de Paris, INSERM UMRS 1160, Paris Denis Diderot University , Paris, France
                [2 ]Department of Medicine, Division of Immunotherapy, Northwestern University , Chicago, IL, USA
                [3 ]Departamento de Clínica Médica, Center for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo , Ribeirão Preto, Brazil
                [4 ]Hôpital Européen Georges Pompidou, AP-HP Assistance Publique des Hôpitaux de Paris, INSERM UMR 970, Université Paris Descartes , Paris, France
                [5 ]Department of Hematology, HSCT Unit, Hospital Clinic , Barcelona, Spain
                [6 ]Department of Hematology, Saint-Antoine Hospital Paris, Assistance Publique des Hôpitaux de Paris, APHP , Paris, France
                [7 ]Leiden University Medical Center , Leiden, The Netherlands
                [8 ]Department of Rheumatology, Scleroderma Clinic, Osp. G. Pini , Milan, Italy
                [9 ]Department of Hematology, Cord Blood Bank, Careggi University Hospital , Florence, Italy
                [10 ]Division of Cardiology, Northwestern University Feinberg School of Medicine , Chicago, IL, USA
                [11 ]UCL Division of Medicine Royal Free Campus , London, UK
                [12 ]Department of Rheumatology and Clinical Immunology, Charité University Medicine Berlin , Berlin, Germany
                [13 ]Sheffield Pulmonary Vascular Disease Unit, M-floor, Royal Hallamshire Hospital , Sheffield, UK
                [14 ]Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, University of Sheffield , Sheffield, UK
                Author notes
                [* ]Unité Clinique de Médecine Interne, Maladies Auto-immunes et Pathologie Vasculaire, UF 04, Hôpital Saint-Louis, AP-HP Assistance Publique des Hôpitaux de Paris, INSERM UMRS 1160, Paris Denis Diderot University , Paris 75010, France. E-mail: dominique.farge-bancel@ 123456aphp.fr
                [15]

                These authors contributed equally to this work.

                [16]

                Affiliated to JACIE and EBMT.

                [17]

                The members of EBMT ADWP Scleroderma Working Group members and EULAR contributors has been listed before references.

                [18]

                These authors contributed equally to this work as senior authors.

                Article
                bmt201756
                10.1038/bmt.2017.56
                5671927
                28530671
                9fe0dc3e-10c4-4cb8-a259-04eede90af7b
                Copyright © 2017 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

                History
                : 09 January 2017
                : 29 January 2017
                Categories
                Review

                Transplantation
                Transplantation

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