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Hypothalamic obesity: Epidemiology in rare sellar/suprasellar tumors—A German claims database analysis.

Authors :
Witte, Julian
Surmann, Bastian
Batram, Manuel
Weinert, Markus
Flume, Mathias
Touchot, Nicolas
Beckhaus, Julia
Friedrich, Carsten
Müller, Hermann L.
Source :
Journal of Neuroendocrinology. Aug2024, p1. 9p. 3 Illustrations.
Publication Year :
2024

Abstract

Hypothalamic obesity (HO) is defined as abnormal weight gain resulting in severe persistent obesity due to physical, tumor‐ and/or treatment‐related damage to the hypothalamus. HO epidemiology is poorly understood. We developed a database algorithm supporting the standardized identification of tumor/treatment‐related HO (TTR‐HO) patients. The algorithm is used to estimate incidence rates of TTR‐HO patients in the German healthcare context from a representative claims database (n = 5.42 million) covering 2010–2020. Patients were identified based on surgery/radiotherapy procedures and HO‐associated tumor diagnoses (n = 3976). HO was defined by incident obesity and validated based on incident diabetes insipidus diagnoses and desmopressin prescription within a 12‐month period after surgery/radiotherapy. Uncertainty due to algorithm definitions is explored in sensitivity analyses. Estimated annual incidence of TTR‐HO in Germany is between 0.7 and 1.7 cases per 1,000,000 persons (2019 prevalence: n = 1262 patients). With observed cases in all age groups, two HO‐incidence peaks are identified: children/young adults aged 10–24 years and adults aged 40–44 years. Most frequent HO‐validated tumor diagnoses are benign sellar/suprasellar tumors (6.1/1,000,000 persons over 9 years), including tumors of the craniopharyngeal duct (1.3/1,000,000), neoplasms of the pituitary gland (4.1/1,000,000), and nonspecific brain tumors of endocrine glands (2.4/1,000,000). This is the first real‐world database analysis of TTR‐HO epidemiology, refining current estimates of HO epidemiology and early patient identification. A more comprehensive characterization of patients with HO as well as a better understanding of clinical implications will be crucial in developing optimal treatment strategies to improve patient outcomes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09538194
Database :
Academic Search Index
Journal :
Journal of Neuroendocrinology
Publication Type :
Academic Journal
Accession number :
179253362
Full Text :
https://doi.org/10.1111/jne.13439