Long-term real-life outcomes in a georrefered cohort of acromegalic patients in Brazil.

PURPOSE: Epidemiological data on acromegaly therapeutic outcomes in real-life conditions are scarce in Brazil. Information on the geographical accessibility to the dispensation of medicines and its impact on biochemical control is also poorly known. We aimed to describe the clinical outcomes of long-term therapy in patients with acromegaly at a referral medical centre in Brazil and to perform a spatial analysis of patients according to the distance from home to the drug-dispensing pharmacies aiming to evaluate its impact on biochemical control. METHODS: Global retrospective data analysis of 111 patients followed at the University Hospital of Brasília from January 1980 to March 2015 was performed, as well as a separate review of 17 new cases operated on from April 2015 to June 2019 according to surgery results. Spatial analysis of patients under pharmacological treatment applying Geographic Information System (GIS) software (ArcGIS, ESRI, Redlands, CA) was performed. RESULTS: Considering surgery alone, the cure rate was 23% from 1980 to 2015 and 29.4% from 2015 to 2019. In the long-term follow-up of the 111 patients from 1980 to 2015, 25.2% (n = 29) were cured, 40.6% (n = 44) presented controlled disease and 34.2% (n = 38) were biochemically uncontrolled after a period of follow-up of 8.9 ± 6.4 years. Biochemical control obtained in patients on pharmacological treatment (n = 76) was 58% (n = 44) after 5.8 ± 3.8 years. The distance from home to the drug-dispensing pharmacy did not influence biochemical control (p = 0.7616). CONCLUSIONS: Most patients presented with disease under control. No evidence on the effect of the distance between home and drug-dispensing pharmacies on biochemical control was obtained.

Prognostic Value of Invasion, Markers of Proliferation, and Classification of Giant Pituitary Tumors, in a Georeferred Cohort in Brazil of 50 Patients, with a Long-Term Postoperative Follow-Up.

Although some pituitary adenomas may have an aggressive behavior, the vast majority are benign. There are still controversies about predictive factors regarding the biological behavior of these particular tumors. This study evaluated potential markers of invasion and proliferation compared to current classification patterns and epidemiogeographical parameters. The study included 50 patients, operated on for tumors greater than 30 mm, with a mean postoperative follow-up of 15.2 ± 4.8 years. Pituitary magnetic resonance was used to evaluate regrowth, invasion, and extension to adjacent tissue. Three tissue biomarkers were analyzed: p53, Ki-67, and c-erbB2. Tumors were classified according to a combination of histological and radiological features, ranging from noninvasive and nonproliferative (grade 1A) to invasive-proliferative (grade 2B). Tumors grades 2A and 2B represented 42% and 52%, respectively. Ki-67 (p = 0.23) and c-erbB2 (p = 0.71) had no significant relation to tumor progression status. P53 (p = 0.003), parasellar invasion (p = 0.03), and classification, grade 2B (p = 0.01), were associated with worse clinical outcome. Parasellar invasion prevails as strong predictive factor of tumor recurrence. Severe suprasellar extension should be considered as invasion parameter and could impact prognosis. No environmental factors or geographical cluster were associated with tumor behavior.

Geographical information system (GIS) as a new tool to evaluate epidemiology based on spatial analysis and clinical outcomes in acromegaly.

Geographical information systems (GIS) have emerged as a group of innovative software components useful for projects in epidemiology and planning in Health Care System. This is an original study to investigate environmental and geographical influences on epidemiology of acromegaly in Brazil. We aimed to validate a method to link an acromegaly registry with a GIS mapping program, to describe the spatial distribution of patients, to identify disease clusters and to evaluate if the access to Health Care could influence the outcome of the disease. Clinical data from 112 consecutive patients were collected and home addresses were plotted in the GIS software for spatial analysis. The buffer spatial distribution of patients living in Brasilia showed that 38.1% lived from 0.33 to 8.66 km, 17.7% from 8.67 to 18.06 km, 22.2% from 18.07 to 25.67 km and 22% from 25.68 to 36.70 km distant to the Reference Medical Center (RMC), and no unexpected clusters were identified. Migration of 26 patients from 11 others cities in different regions of the country was observed. Most of patients (64%) with adenomas bigger than 25 mm lived more than 20 km away from RMC, but no significant correlation between the distance from patient's home to the RMC and tumor diameter (r = 0.45 p = 0.20) nor for delay in diagnosis (r = 0.43 p = 0.30) was found. The geographical distribution of diagnosed cases did not impact in the latency of diagnosis or tumor size but the recognition of significant migration denotes that improvements in the medical assistance network are needed.