Published in:
01-02-2022 | Acromegaly | Original Article
Acromegaly disease activity according to ACRODAT®, a cross-sectional study in Spain: ACROVAL study
Authors:
Mónica Marazuela, Concepción Blanco, Ignacio Bernabeu, Edelmiro Menendez, Rocío Villar, Miguel Paja, Miguel Sampedro-Nuñez, M. Luz Samaniego, Marcos Díaz-Muñoz, Laura Sánchez-Cenizo
Published in:
Endocrine
|
Issue 2/2022
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Abstract
Objectives
To evaluate disease activity status using the Acromegaly Disease Activity Tool (ACRODAT®) in a cohort of Spanish acromegaly patients, to assess the relationship between the level of disease activity according to both ACRODAT® and the physicians’ clinical evaluation, and to study the potential discrepancies in the perception of symptoms between physicians and patients.
Design
Multicenter, observational, descriptive and cross-sectional study.
Methods
Disease activity was assessed in adult patients with acromegaly under pharmacological treatment during at least 6 months using ACRODAT®.
Results
According to ACRODAT®, 48.2%, 31.8% and 20.0% of a total of 111 patients were classified as having a stable disease (S), mild disease activity (M-DA) and significant disease activity (S-DA) respectively. ACRODAT® classification of disease activity significantly correlated with physicians’ opinion, with a moderate inter-rater agreement and a specificity of 92.45% (PPV = 86.21%). No correlation was found between IGF-I levels and severity of symptoms or quality of life (QoL). A decision to take clinical action was significantly more frequent in S-DA and M-DA patients than S patients but no action was taken on 5 (22.7%) and 27 (77.1%) S-DA and M-DA patients, respectively
Conclusions
ACRODAT® detected disease activity in 51.8% of patients. Interestingly, although M-DA and S-DA patients were likely to be in the process of being controlled, action was not always taken on these patients. ACRODAT® is a validated and highly specific tool that may be useful to routinely monitor acromegaly and to identify patients with non-obvious disease activity by incorporating “patient-centred” parameters like symptoms and QoL to the clinical evaluation of acromegaly.