Full Papers
Towards a universal definition of disease activity score thresholds: the AS135 score
N. Foulquier1, B. Chevet2, G. Carvajal Alegria3, L. Saraux4, V. Devauchelle-Pensec5, P. Redou6, A. Saraux7
- UMR1227, Lymphocytes B et Autoimmunité, Université de Brest, Inserm, CHU Brest, LabEx IGO, Brest, and LATIM, Laboratoire de Traitement de l’Information Médicale, UMR 1101, IBRBS, Université de Brest, Inserm, CHU, Brest, France.
- Rheumatology Unit, Centre National de Référence des Maladies Auto-Immunes Rares (CERAINO), CHU, Brest, France.
- UMR1227, Lymphocytes B et Autoimmunité, Université de Brest, Inserm, CHU Brest, LabEx IGO, Brest, and Rheumatology Unit, Centre National de Référence des Maladies Auto-Immunes Rares (CERAINO), CHU, Brest, France.
- Rheumatology Unit, Centre National de Référence des Maladies Auto-Immunes Rares (CERAINO), CHU, Brest, France.
- UMR1227, Lymphocytes B et Autoimmunité, Université de Brest, Inserm, CHU Brest, LabEx IGO, Brest, and Rheumatology Unit, Centre National de Référence des Maladies Auto-Immunes Rares (CERAINO), CHU, Brest, France.
- LATIM, Laboratoire de Traitement de l’Information Médicale, UMR 1101, IBRBS, Université de Brest, Inserm, CHU, Brest, France.
- UMR1227, Lymphocytes B et Autoimmunité, Université de Brest, Inserm, CHU Brest, LabEx IGO, Brest, and Rheumatology Unit, Centre National de Référence des Maladies Auto-Immunes Rares (CERAINO), CHU, Brest, France. alain.saraux@chu-brest.fr
CER15570
2023 Vol.41, N°5
PI 1009, PF 1016
Full Papers
PMID: 36062781 [PubMed]
Received: 09/02/2022
Accepted : 11/07/2022
In Press: 31/08/2022
Published: 03/05/2023
Abstract
OBJECTIVES:
Many study groups have developed scores to reflect disease activity. The result of this fragmented process is a multitude of disease activity scores, even for a single disease. We aimed to identify and standardise disease activity scores in rheumatology
METHODS:
We conducted a literature review on disease activity criteria using both a manual approach and in-house computer software (BIBOT) that applies natural language processing to automatically identify and interpret important words in abstracts published in English between 1.1.1975 and 31.12.2018. We selected activity scores with cut-off values divided into four classes (remission and low, moderate and high disease activity). We used a linear interpolation to map disease activity scores to our new score, the AS135, and developed a smartphone application to perform the conversion.
RESULTS:
A total of 108 activity criteria from various fields were identified, but it was in rheumatology that we found the most pronounced separation into four classes. We built the AS135 score modification for each selected score using a linear interpolation of the existing criteria. The score modification was defined on the interval [0,10], and values of 1, 3 and 5 were used as thresholds. These arbitrary thresholds were then associated with the thresholds of the existing criteria, and an interpolation was calculated, allowing conversion of the existing criteria into the AS135 criterion. Finally, we created a mobile application.
CONCLUSIONS:
We developed an application for clinicians that enables the use of a single disease activity score for different inflammatory rheumatic diseases using an intuitive scale.
