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Validation of the Auto-Inflammatory Diseases Activity Index (AIDAI) for hereditary recurrent fever syndromes

OBJECTIVES: To validate the Auto-Inflammatory Diseases Activity Index (AIDAI) in the four major hereditary recurrent fever syndromes (HRFs): familial Mediterranean fever (FMF), mevalonate kinase deficiency (MKD), tumour necrosis factor receptor-associated periodic syndrome (TRAPS) and cryopyrin-asso...

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Autores principales: Piram, Maryam, Koné-Paut, Isabelle, Lachmann, Helen J, Frenkel, Joost, Ozen, Seza, Kuemmerle-Deschner, Jasmin, Stojanov, Silvia, Simon, Anna, Finetti, Martina, Sormani, Maria Pia, Martini, Alberto, Gattorno, Marco, Ruperto, Nicolino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251184/
https://www.ncbi.nlm.nih.gov/pubmed/24026675
http://dx.doi.org/10.1136/annrheumdis-2013-203666
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author Piram, Maryam
Koné-Paut, Isabelle
Lachmann, Helen J
Frenkel, Joost
Ozen, Seza
Kuemmerle-Deschner, Jasmin
Stojanov, Silvia
Simon, Anna
Finetti, Martina
Sormani, Maria Pia
Martini, Alberto
Gattorno, Marco
Ruperto, Nicolino
author_facet Piram, Maryam
Koné-Paut, Isabelle
Lachmann, Helen J
Frenkel, Joost
Ozen, Seza
Kuemmerle-Deschner, Jasmin
Stojanov, Silvia
Simon, Anna
Finetti, Martina
Sormani, Maria Pia
Martini, Alberto
Gattorno, Marco
Ruperto, Nicolino
author_sort Piram, Maryam
collection PubMed
description OBJECTIVES: To validate the Auto-Inflammatory Diseases Activity Index (AIDAI) in the four major hereditary recurrent fever syndromes (HRFs): familial Mediterranean fever (FMF), mevalonate kinase deficiency (MKD), tumour necrosis factor receptor-associated periodic syndrome (TRAPS) and cryopyrin-associated periodic syndromes (CAPS). METHODS: In 2010, an international collaboration established the content of a disease activity tool for HRFs. Patients completed a 1-month prospective diary with 12 yes/no items before a clinical appointment during which their physician assessed their disease activity by a questionnaire. Eight international experts in auto-inflammatory diseases evaluated the patient's disease activity by a blinded web evaluation and a nominal group technique consensus conference, with their consensus judgement considered the gold standard. Sensitivity/specificity/accuracy measures and the ability of the score to discriminate active from inactive patients via the best cut-off score were calculated by a receiver operating characteristic analysis. RESULTS: Consensus was achieved for 98/106 (92%) cases (39 FMF, 35 CAPS, 14 TRAPS and 10 MKD), with 26 patients declared as having inactive disease and 72 as having active disease. The median total AIDAI score was 14 (range=0–175). An AIDAI cut-off score ≥9 discriminated active from inactive patients, with sensitivity/specificity/accuracy of 89%/92%/90%, respectively, and an area under the curve of 98% (95% CI 96% to 100%). CONCLUSIONS: The AIDAI score is a valid and simple tool for assessing disease activity in FMF/MKD/TRAPS/CAPS. This tool is easy to use in clinical practice and has the potential to be used as the standard efficacy measure in future clinical trials.
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spelling pubmed-42511842014-12-04 Validation of the Auto-Inflammatory Diseases Activity Index (AIDAI) for hereditary recurrent fever syndromes Piram, Maryam Koné-Paut, Isabelle Lachmann, Helen J Frenkel, Joost Ozen, Seza Kuemmerle-Deschner, Jasmin Stojanov, Silvia Simon, Anna Finetti, Martina Sormani, Maria Pia Martini, Alberto Gattorno, Marco Ruperto, Nicolino Ann Rheum Dis Clinical and Epidemiological Research OBJECTIVES: To validate the Auto-Inflammatory Diseases Activity Index (AIDAI) in the four major hereditary recurrent fever syndromes (HRFs): familial Mediterranean fever (FMF), mevalonate kinase deficiency (MKD), tumour necrosis factor receptor-associated periodic syndrome (TRAPS) and cryopyrin-associated periodic syndromes (CAPS). METHODS: In 2010, an international collaboration established the content of a disease activity tool for HRFs. Patients completed a 1-month prospective diary with 12 yes/no items before a clinical appointment during which their physician assessed their disease activity by a questionnaire. Eight international experts in auto-inflammatory diseases evaluated the patient's disease activity by a blinded web evaluation and a nominal group technique consensus conference, with their consensus judgement considered the gold standard. Sensitivity/specificity/accuracy measures and the ability of the score to discriminate active from inactive patients via the best cut-off score were calculated by a receiver operating characteristic analysis. RESULTS: Consensus was achieved for 98/106 (92%) cases (39 FMF, 35 CAPS, 14 TRAPS and 10 MKD), with 26 patients declared as having inactive disease and 72 as having active disease. The median total AIDAI score was 14 (range=0–175). An AIDAI cut-off score ≥9 discriminated active from inactive patients, with sensitivity/specificity/accuracy of 89%/92%/90%, respectively, and an area under the curve of 98% (95% CI 96% to 100%). CONCLUSIONS: The AIDAI score is a valid and simple tool for assessing disease activity in FMF/MKD/TRAPS/CAPS. This tool is easy to use in clinical practice and has the potential to be used as the standard efficacy measure in future clinical trials. BMJ Publishing Group 2014-12 2013-09-11 /pmc/articles/PMC4251184/ /pubmed/24026675 http://dx.doi.org/10.1136/annrheumdis-2013-203666 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Clinical and Epidemiological Research
Piram, Maryam
Koné-Paut, Isabelle
Lachmann, Helen J
Frenkel, Joost
Ozen, Seza
Kuemmerle-Deschner, Jasmin
Stojanov, Silvia
Simon, Anna
Finetti, Martina
Sormani, Maria Pia
Martini, Alberto
Gattorno, Marco
Ruperto, Nicolino
Validation of the Auto-Inflammatory Diseases Activity Index (AIDAI) for hereditary recurrent fever syndromes
title Validation of the Auto-Inflammatory Diseases Activity Index (AIDAI) for hereditary recurrent fever syndromes
title_full Validation of the Auto-Inflammatory Diseases Activity Index (AIDAI) for hereditary recurrent fever syndromes
title_fullStr Validation of the Auto-Inflammatory Diseases Activity Index (AIDAI) for hereditary recurrent fever syndromes
title_full_unstemmed Validation of the Auto-Inflammatory Diseases Activity Index (AIDAI) for hereditary recurrent fever syndromes
title_short Validation of the Auto-Inflammatory Diseases Activity Index (AIDAI) for hereditary recurrent fever syndromes
title_sort validation of the auto-inflammatory diseases activity index (aidai) for hereditary recurrent fever syndromes
topic Clinical and Epidemiological Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251184/
https://www.ncbi.nlm.nih.gov/pubmed/24026675
http://dx.doi.org/10.1136/annrheumdis-2013-203666
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