The measurement of fibromyalgia severity: converting scores between the FIQR, the PSD and the FASmod.


Journal

Clinical and experimental rheumatology
ISSN: 0392-856X
Titre abrégé: Clin Exp Rheumatol
Pays: Italy
ID NLM: 8308521

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 25 03 2022
accepted: 24 06 2022
medline: 30 6 2023
pubmed: 7 9 2022
entrez: 6 9 2022
Statut: ppublish

Résumé

The revised Fibromyalgia Impact Questionnaire (FIQR) is a widely used fibromyalgia severity assessment tool that was introduced in 2009 prior to the publication of the American College of Rheumatology (ACR) preliminary fibromyalgia criteria in 2010 and its revision in 2016. In 2020, the modified Fibromyalgia Assessment Scale (FASmod) was published. The Polysymptomatic Distress scale (PSD) of the fibromyalgia criteria and FASmod include assessments of pain location severity and can be used for diagnosis as well as in non-fibromyalgia patients. The aim of this study is to provide equations for the conversion of the FIQR scores to PSD and FASmod as an aid to understanding and sharing fibromyalgia severity information. 3089 patients with fibromyalgia, diagnosed according to the ACR 2010/2011 criteria and belonging to the Italian Fibromyalgia Registry completed FIQR, FASmod and PSD questionnaires. Pearson's correlation coefficient was used to test the correlations between indices. The least square regression approach was used to produce predictive equations for each scale based on the remaining scales. FIQR was correlated with PSD (r=0.714) and FASmod (r=0.801); PSD and FASmod showed the highest correlation (r=0.897), expected since they assess the same constructs. Predictive equations showing a linear model were effective in producing mean cohort values, but individual predictions deviated substantially, precluding prediction in the individual patient. Conversion equations that allow for interconversion of multiple scales fibromyalgia severity assessment scales are produced. These can be useful in obtaining mean values for cohorts but are not accurate enough for use in individual patients.

Identifiants

pubmed: 36067219
pii: 18582
doi: 10.55563/clinexprheumatol/31gsnd
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1225-1229

Investigateurs

Chiara Gioia (C)
Massimo Giovale (M)
Mariateresa Cirillo (M)
Francesca Nacci (F)
Daniele Santilli (D)
Stefano Barbagli (S)
Annunziata Capacci (A)
Giulio Cavalli (G)
Sara Bonazza (S)
Luca Navarini (L)
Sabrina Paolino (S)
Valeria Giorgi (V)

Auteurs

Fausto Salaffi (F)

Rheumatology Clinic, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Jesi, Ancona, Italy.

Marco Di Carlo (M)

Rheumatology Clinic, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Jesi, Ancona, Italy. dica.marco@yahoo.it.

Sonia Farah (S)

Rheumatology Clinic, Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, Jesi, Ancona, Italy.

Manuela Di Franco (M)

Department of Clinical Internal Medicine, Anaesthesiology and Cardiovascular Sciences, Rheumatology Unit, Policlinico Umberto I, Sapienza University of Rome, Italy.

Laura Bazzichi (L)

Rheumatology Unit, AOU Pisana, Pisa, Italy.

Gerolamo Bianchi (G)

Department of Medical Specialties, Division of Rheumatology Asl 3, Genova, Italy.

Rosella Tirri (R)

Rheumatology Unit, Department of Precision Medicine, University of Campania L. Vanvitelli, Naples, Italy.

Fabiola Atzeni (F)

Rheumatology Unit, Department of Internal Medicine, University of Messina, Italy.

Serena Guiducci (S)

Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, AOU Careggi, Florence, Italy.

Giuliana Guggino (G)

Department of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialties, University of Palermo, Italy.

Roberto Gorla (R)

Unit of Rheumatology and Clinical Immunology, ASST Spedali Civili, Brescia, Italy.

Fabio Fischetti (F)

Department of Medical Sciences, University of Trieste, UCO Medicina Clinica (SSD Reumatologia), Trieste, Italy.

Flavio Mozzani (F)

Internal Medicine and Rheumatology Unit, Azienda Ospedaliero-Universitaria di Parma, Italy.

Giovanni Biasi (G)

Rheumatology Unit, Department of Medical Sciences, Azienda Ospedaliero-Universitaria Senese and University of Siena, Italy.

Elisa Gremese (E)

UOC Reumatologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.

Lorenzo Dagna (L)

Unit of Immunology, Rheumatology, Allergy and Rare Diseases (UnIRAR), IRCCS San Raffaele Scientific Institute & Vita-Salute San Raffaele University, Milan, Italy.

Marcello Govoni (M)

Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliera-Universitaria di Ferrara, Italy.

Roberto Giacomelli (R)

Unit of Allergology, Clinical Immunology and Rheumatology, Università Campus Bio-Medico di Roma, Italy.

Roberto Gerli (R)

Rheumatology Unit, Department of Medicine and Surgery, University of Perugia, Italy.

Florenzo Iannone (F)

Rheumatology Unit, Department of Emergency and Organ Transplantations, University of Bari, Italy.

Maurizio Cutolo (M)

Laboratory of Experimental Rheumatology and Division of Clinical Rheumatology, Department of Internal Medicine DiMI, University of Genova, IRCCS San Martino Polyclinic, Genova, Italy.

Frederick Wolfe (F)

National Data Bank for Rheumatic Diseases Wichita, Kansas, USA.

Piercarlo Sarzi-Puttini (P)

Rheumatology Department, IRCCS Galeazzi-Sant'Ambrogio Hospital, Milan, Italy.

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