Factors associated with disease control failure in acromegaly patients treated with pegvisomant: an ACROSTUDY analysis

Author:

Giampietro Antonella1ORCID,Chiloiro Sabrina1,Urbani Claudio2,Pivonello Rosario3,Carlsson Martin Ove4,Dassie Francesca5,Prencipe Nunzia6,Ragonese Marta7,Gomez Roy4,Granato Simona8,Cannavò Salvatore7,Grottoli Silvia6,Maffei Pietro5,Colao Annamaria3,Bogazzi Fausto9,Bianchi Antonio1

Affiliation:

1. Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy

2. Endocrinology II Unit, Department of Medicine, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy

3. Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Endocrinologia, Università Federico II di Napoli, Naples, Italy

4. Global Medical Affairs, Pfizer Rare Disease, Brussels, Belgium

5. Department of Medicine - DIMED, University of Padua, Padua, Italy

6. Division of Endocrinology, Diabetology and Metabolism, Department of Medical Science, University of Turin, Turin, Italy

7. Unit of Endocrinology, Department of Human Pathology, University of Messina, Messina, Italy

8. Medical Department, Pfizer Italia, Rome, Italy

9. Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy

Abstract

Purpose The aim of this study was to examine the probability of achieving acromegaly disease control according to several patient-, disease- and treatment-related factors longitudinally. Methods We analyzed data from ACROSTUDY, an open-label, noninterventional, post-marketing safety surveillance study conducted in 15 countries. A total of 1546 patients with acromegaly and treated with pegvisomant, with available information on baseline IGF-1 level, were included. Factors influencing IGF-1 control were assessed up to 10 years of follow-up by mixed-effects logistic regression models, taking into account changing values of covariates at baseline and at yearly visits. Twenty-eight anthropometric, clinical and treatment-related covariates were examined through univariate and multivariate analyses. We tested whether the probability of non-control was different than 0.50 (50%) by computing effect sizes (ES) and the corresponding 95% CI. Results Univariate analysis showed that age <40 years, normal or overweight, baseline IGF-1 <300 µg/L or ranged between 300 and 500 µg/L, and all pegvisomant dose <20 mg/day were associated with a lower probability of acromegaly uncontrol. Consistently, in multivariate analyses, the probability of uncontrolled acromegaly was influenced by baseline IGF-1 value: patients with IGF-1 <300 µg/L had the lowest risk of un-controlled acromegaly (ES = 0.29, 95% CI: 0.23–0.36). The probability of acromegaly uncontrol was also lower for values 300–500 µg/L (ES = 0.37, 95% CI: 0.32–0.43), while it was higher for baseline IGF-1 values ≥700 µg/L (ES = 0.58, 95% CI: 0.53–0.64). Conclusion Baseline IGF-l levels were a good predictor factor for long-term acromegaly control. On the contrary, our data did not support a role of age, sex, BMI and pegvisomant dose as predictors of long-term control of acromegaly. Significance statement Among factors that could influence and predict the efficacy of pegvisomant therapy in controlling acromegaly, a central role of baseline IGF-1 values on the probability of achieving a biochemical control of acromegaly during the treatment with pegvisomant was identified, in a real-life setting.

Publisher

Bioscientifica

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5. A meta-analysis of the effect of lowering serum levels of GH and IGF-I on mortality in acromegaly;Holdaway,2008

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