Clinical and functional variables can predict general fatigue in patients with acromegaly: an explanatory model approach
Arch. endocrinol. metab. (Online)
;
63(3): 235-240, May-June 2019. tab, graf
Article
Dans Anglais
| LILACS
| ID: biblio-1011173
ABSTRACT
ABSTRACT Objective To evaluate whether hormonal profile, arterial function, and physical capacity are predictors of fatigue in patients with acromegaly. Subjects and methods:
This is a cross-sectional study including 23 patients. The subjects underwent a Modified Fatigue Impact Scale (MFIS) assessment; serum growth hormones (GH) and IGF-1 measurements; pulse wave analysis comprising pulse wave velocity (PWV), arterial compliance (AC), and the reflection index (IR1,2); dominant upper limb dynamometry (DYN); and the six-minute walking distance test (6MWT). Multiple linear regression models were used to identify predictors for MFIS. The coefficient of determination R2 was used to assess the quality of the models' fit. The best model was further analyzed using a calibration plot and a limits of agreement (LOA) plot. Results The mean ± SD values for the participants' age, MFIS, PWV, AC, IR1,2, DYN, and the distance in the 6MWT were 49.4 ± 11.2 years, 31.2 ± 18.9 score, 10.19 ± 2.34 m/s, 1.08 ± 0.46 x106 cm5/din, 85.3 ± 29.7%, 33.9 ± 9.3 kgf, and 603.0 ± 106.1 m, respectively. The best predictive model (R2 = 0.378, R2 adjusted = 0.280, standard error = 16.1, and P = 0.026) comprised the following regression equation MFIS = 48.85 - (7.913 × IGF-I) + (1.483 × AC) - (23.281 × DYN). Conclusion Hormonal, vascular, and functional variables can predict general fatigue in patients with acromegaly.
Texte intégral:
Disponible
Indice:
LILAS (Amériques)
Sujet Principal:
Acromégalie
/
Fatigue
Type d'étude:
Étude observationnelle
/
Étude de prévalence
/
Étude pronostique
/
Facteurs de risque
Limites du sujet:
Adulte
/
Femelle
/
Humains
/
Mâle
Pays comme sujet:
Amérique du Sud
/
Brésil
langue:
Anglais
Texte intégral:
Arch. endocrinol. metab. (Online)
Thème du journal:
Endocrinologie
/
Métabolisme
Année:
2019
Type:
Article
Pays d'affiliation:
Brésil
Institution/Pays d'affiliation:
Centro Universitário Augusto Motta/BR
/
Universidade Federal do Rio de Janeiro/BR
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