Pituitary Diseases Registry Study in Latvia. Part 1

Background: Our registry study is designed to create a unified database of pituitary disease patients in Latvia. Methods: We collected 3 yrs data from medical records with pituitary diseases from one clinical university hospital and 4 outpatients clinics. Prospective cohort analysis was performed based on demographic data, MRI, laboratory data, data on medications and regimens used to treat pituitary diseases, information on co-morbidities and concomitant medications used in 355 patients with various pituitary diseases: prolactinomas, clinically nonfunctional adenomas (CNFA), acromegalies, empty sella syndrome, Cushing’s disease (CD), Ratke’s pocket cysts, meningiomas, craniopharyngoma, pituitary aplasia and hypoplasia, TSH-omas, germinoma, glioma, chondrosarcoma, pericytoma. Results: From July 2016 to July 2019, 355 people (71.7% women) with pituitary diseases were registered. The mean age in the cohort was 43.4 yrs (range 18–83 yrs). Prolactinomas were the most common adenomas (40.8%), followed by CNFA (28.5%), acromegaly (16.1%) and empty sella syndrome (5.1%), CD (2.3%), Ratchet pocket cysts (2.3%), meningiomas (1.4%), craniopharyngiomas (1.1%), pituitary aplasia and hypoplasia (0.8%), TSH-omas (0.6%), germinoma (0.3%), glioma (0.3%), chondrosarcoma (0.3%), pericitoma (0.3%). Female dominance was observed in patients with prolactinoma and CNFA, ​​empty sella syndrome, Ratke’s pocket cysts, CD, meningiomas, TSH-omas. Patients in the cohort most often received drug therapy with any type of medication alone (octreotide LAR, lanreotide, bromocriptine, cabergoline, pegvisomant) in 50.5% of cases; various types of combination therapy in 13% of cases. The majority of patients (81.7%) were treated with 1or more medication for co-morbidity. Thyroid disease was slightly more common than cardiovascular disease: 86.1% vs. 81.3%. In 10.1% of the cohort, cancer of various localities was detected. Both types of diabetes or other disorders of carbohydrate metabolism were found in 36.3% of cases. Conclusion: Based on the study of the pituitary disease register in Latvia, a unified database of pituitary disease patients has been created, which allows analyzing the population characteristics of the pituitary diseases, the applied treatment schemes for the treatment of pituitary diseases; types of neurosurgery, medication and radiation therapy. A state register may be set up in the future.