Julian Witte, Bastian Surmann, Manuel Batram, Markus Weinert, Mathias Flume, Nicolas Touchot, Julia Beckhaus, Carsten Friedrich, Hermann L Müller
{"title":"下丘脑肥胖症:罕见蝶鞍/鞍上肿瘤的流行病学--德国索赔数据库分析。","authors":"Julian Witte, Bastian Surmann, Manuel Batram, Markus Weinert, Mathias Flume, Nicolas Touchot, Julia Beckhaus, Carsten Friedrich, Hermann L Müller","doi":"10.1111/jne.13439","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hypothalamic obesity: Epidemiology in rare sellar/suprasellar tumors-A German claims database analysis.\",\"authors\":\"Julian Witte, Bastian Surmann, Manuel Batram, Markus Weinert, Mathias Flume, Nicolas Touchot, Julia Beckhaus, Carsten Friedrich, Hermann L Müller\",\"doi\":\"10.1111/jne.13439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/jne.13439\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jne.13439","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
下丘脑性肥胖症(HO)是指由于下丘脑受到物理、肿瘤和/或治疗相关的损伤而导致体重异常增加,并造成严重的持续性肥胖。人们对下丘脑肥胖症的流行病学知之甚少。我们开发了一种数据库算法,支持对肿瘤/治疗相关肥胖症(TTR-HO)患者进行标准化识别。该算法用于估算2010-2020年德国医疗保健领域TTR-HO患者的发病率。根据手术/放疗程序和HO相关肿瘤诊断(n = 3976)确定患者。HO根据肥胖事件进行定义,并根据手术/放疗后12个月内的糖尿病诊断和去氨加压素处方进行验证。敏感性分析探讨了算法定义的不确定性。据估计,TTR-HO 在德国的年发病率为每 100 万人 0.7 至 1.7 例(2019 年发病率:n = 1262 例患者)。在所有年龄组中观察到的病例中,发现了两个HO发病高峰:10-24岁的儿童/年轻人和40-44岁的成年人。最常见的HO验证肿瘤诊断是良性蝶鞍/蝶鞍上肿瘤(9岁以上为6.1/1000000),包括颅咽管肿瘤(1.3/1000000)、垂体肿瘤(4.1/1000000)和内分泌腺的非特异性脑肿瘤(2.4/1000000)。这是首个针对 TTR-HO 流行病学的真实世界数据库分析,完善了目前对 HO 流行病学和早期患者识别的估计。更全面地描述 HO 患者的特征以及更好地了解其临床影响,对于制定最佳治疗策略以改善患者预后至关重要。
Hypothalamic obesity: Epidemiology in rare sellar/suprasellar tumors-A German claims database analysis.
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.