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Association between pain, arthropathy and health-related quality of life in patients suffering from acromegaly. A cross-sectional study

Authors :
Angelo Alito
Giorgio Carmelo Basile
Daniele Bruschetta
Gina Lacramioara Berescu
Filippo Cavallaro
Aurelio Daniele Postorino
Eliseo Scarcella
Marta Ragonese
Salvatore Cannavò
Adriana Tisano
Source :
Folia Medica, Vol 65, Iss 1, Pp 37-45 (2023)
Publication Year :
2023
Publisher :
Pensoft Publishers, 2023.

Abstract

Introduction: Despite successful therapy, acromegalic patients have reduced health-related quality of life (HRQoL) compared to healthy controls. Finding predictors of poor HRQoL can be crucial to improving these patients’ global health state. Aim: The primary objective of the study was to find out predictors of HRQoL. Secondary objectives were: (I) to determine correlations with AcroQoL subscales, and (II) to identify predictors for subscales.Materials and methods: In this cross-sectional study conducted in 2019 at the Messina Policlinic Hospital, 45 acromegalic patients were assessed at the Physical and Rehabilitative Medicine Ambulatory. During routine outpatient clinic attendances, the following questionnaires were administered: Acromegaly Quality of Life Questionnaire (AcroQoL), Patient-Assessed Acromegaly Symptom Questionnaire (PASQ), and Western Ontario and McMaster Universities Arthritis Index (WOMAC). We furthermore included the following variables obtained by medical record review: age, BMI, disease duration, previous surgery (Yes/No), previous radiotherapy (Yes/No), use of GH lowering medications (Yes/No), hypertension (Yes/No), diabetes mellitus (Yes/No), and biochemical control of the disease (Yes/No): immunoradiometric assays were employed to serum GH and IGF-1 measurements to identify biochemical control of the disease. Correlation between outcome measures and AcroQoL has been performed. Pearson’s r was calculated for continuous data following normal distribution (AcroQoL, PASQ, AcroQoL-B, AcroQoL-R, WOMAC-P), while Spearman’s rank order correlation was calculated for non-normally distributed data (WOMAC, WOMAC-F, WOMAC-S, AcroQoL-P) and point-biserial correlation for binary variables (biochemically controlled disease, use of GH lowering medications, radiotherapy, surgery). The same correlation analysis was performed for the AcroQoL subscales.Multiple linear regression with backwards, stepwise analysis was used to assess the influence on AcroQoL of correlated variables.Results: AcroQoL was strongly negatively correlated with PASQ (r=−0.700, p

Details

Language :
English
ISSN :
13142143
Volume :
65
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Folia Medica
Publication Type :
Academic Journal
Accession number :
edsdoj.6599242cc38141eb969d7d868521b671
Document Type :
article
Full Text :
https://doi.org/10.3897/folmed.65.e68278