High-Dose and High-Frequency Lanreotide Autogel in Acromegaly: A Randomized, Multicenter Study

Autor: M. Montini, Gherardo Mazziotti, Renato Cozzi, Salvatore Cannavò, Enza Gatti, Filippo Maffezzoni, Ezio Ghigo, Giorgio Arnaldi, Anna Maria Formenti, Silvia Grottoli, Diego Ferone, Giovanna Bugari, Pietro Maffei, Massimo Terzolo, Andrea Giustina, Roberto Castello
Přispěvatelé: Giustina, Andrea, Mazziotti, Gherardo, Cannavã², Salvatore, Castello, Roberto, Arnaldi, Giorgio, Bugari, Giovanna, Cozzi, Renato, Ferone, Diego, Formenti, Anna Maria, Gatti, Enza, Grottoli, Silvia, Maffei, Pietro, Maffezzoni, Filippo, Montini, Marcella, Terzolo, Massimo, Ghigo, Ezio
Rok vydání: 2017
Předmět:
Male
Time Factors
Endocrinology
Diabetes and Metabolism

Clinical Biochemistry
Octreotide
Somatostatin analog therapy
Octreotide-LAR
Growth-hormone
long-term
Tumor shrinkage
neuroendocrine tumors
Clinical-trial
metaanalysis
mortality

Lanreotide
Severity of Illness Index
Biochemistry
Gastroenterology
law.invention
Tumor shrinkage
chemistry.chemical_compound
0302 clinical medicine
Endocrinology
Randomized controlled trial
law
Odds Ratio
Medicine
Prospective Studies
Insulin-Like Growth Factor I
Prospective cohort study
Cyclic
Human Growth Hormone
Subcutaneous
Statistics
Middle Aged
Magnetic Resonance Imaging
Diabetes and Metabolism
Treatment Outcome
Somatostatin
Italy
030220 oncology & carcinogenesis
Female
Drug
Human
metaanalysis
medicine.drug
Adult
medicine.medical_specialty
Time Factor
Maximum Tolerated Dose
Injections
Subcutaneous

030209 endocrinology & metabolism
Context (language use)
Injections
Subcutaneou

Peptides
Cyclic

Drug Administration Schedule
Statistics
Nonparametric

Follow-Up Studie
Injections
Dose-Response Relationship
03 medical and health sciences
Internal medicine
Acromegaly
Confidence Intervals
Humans
Nonparametric
Adverse effect
Aged
Somatostatin analog therapy
Growth-hormone
Octreotide-LAR
long-term
Dose-Response Relationship
Drug

business.industry
Biochemistry (medical)
medicine.disease
mortality
Prospective Studie
Follow-Up Studies
chemistry
Clinical-trial
neuroendocrine tumors
Peptides
business
Confidence Interval
Zdroj: The Journal of Clinical Endocrinology & Metabolism. 102:2454-2464
ISSN: 1945-7197
0021-972X
DOI: 10.1210/jc.2017-00142
Popis: Context: Increase in drug frequency or dose is recommended for acromegaly patients with partial response to long-acting somatostatin receptor ligands (SRLs). However, the efficacy and safety data with lanreotide (LAN) Autogel (LAN-ATG) at high dose (HD) or high frequency (HF) are still scanty. Objective: To evaluate the biochemical efficacy and safety of HF and HD LAN-ATG in patients with active acromegaly. Design: Twenty-four-week prospective, multicenter, randomized, open-label trial. Patients and Interventions: Thirty patients with active acromegaly, partial responders to SRLs, were randomized to HF (120 mg/21 days; 15 patients) or HD (180 mg/28 days; 15 patients) LAN-ATG. Outcomes: Normalization of serum insulin-like growth factor-I (IGF-I) and reduction in random growth hormone (GH) values ,1.0 mg/L, reduction in serum IGF-I and GH from baseline, differences in biochemical response between HF and HD LAN-ATG, adverse events. Results: IGF-I decreased significantly (P = 0.007) during the 24-week treatment, with greater decrease in HD (P = 0.03) vs HF group (P = 0.08). Normalization in IGF-I values occurred in 27.6% of patients (P = 0.016 vs baseline), without a significant difference between HF and HD groups (P = 0.59). The decrease in serumIGF-I significantly correlated with serumLAN values (P = 0.04), and normalization of IGF-I was predicted by baseline IGF-I values (P = 0.02). Serum GH values did not change significantly (P = 0.22). Overall, 19 patients (63.3%) experienced adverse events, all being mild to moderate and transient, without differences between the two therapeutic arms. Conclusion: HF and HD LAN-ATG regimens are effective in normalizing IGF-I values in about onethird of patients with active acromegaly inadequately controlled by long-term conventional SRLs therapy.
Databáze: OpenAIRE