LAS database

LAS database aggregates anonymized clinical, biochemical, imaging, and outcome data on patients with acromegaly to support research on pathophysiology, clinical features, therapeutic responses, and long-term outcomes.

Key Features:

• Data Collection: Inclusion of anonymized patient data to enable detailed clinical and biochemical analyses.
• Comprehensive Data Scope: Captures age at diagnosis, tumor characteristics (size and type), growth hormone (GH) levels, insulin-like growth factor 1 (IGF-1) levels, and comorbid conditions such as diabetes and hypertension.
• Statistical Analysis Capability: Supports pooling data from multiple study sites to perform robust statistical analyses and enhance reliability of findings.

Scientific Applications:

• Epidemiological Studies: Examination of temporal and demographic trends in acromegaly incidence and diagnosis patterns.
• Clinical Research: Analysis of relationships between clinical variables, for example tumor size versus patient age or GH levels at diagnosis.
• Therapeutic Evaluation: Assessment of treatment effects by comparing GH and IGF-1 levels before and after somatostatin analog (SSA) therapy.

Methodology:

Retrospective validation study at a single center analyzing patient records from 1970 to 2011 (n=290), reporting a predominance of macroadenomas and associations between hypertension, diabetes, and tumor size.