Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in Korea

Background Only a few studies have established the epidemiology of prolactinoma and Cushing’s disease in Korea. Furthermore, the incidence of these disease are increasing than before associated with the development of technologies. This study was designed to evaluate the epidemiology of prolactinoma...

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Main Authors: Jin Sun Park, Soo Jin Yun, Jung Kuk Lee, So Young Park, Sang Ouk Chin
Format: Article
Language:English
Published: Academya Publishing Co. 2021-06-01
Series:Endocrinology and Metabolism
Subjects:
Online Access:http://www.e-enm.org/upload/pdf/enm-2021-1000.pdf
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spelling doaj-8ec93c1636594a41ace748027dc779742021-07-05T06:12:46ZengAcademya Publishing Co.Endocrinology and Metabolism2093-596X2093-59782021-06-0136368869610.3803/EnM.2021.10002189Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in KoreaJin Sun Park0Soo Jin Yun1Jung Kuk Lee2So Young Park3Sang Ouk Chin4 Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea Department of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, KoreaBackground Only a few studies have established the epidemiology of prolactinoma and Cushing’s disease in Korea. Furthermore, the incidence of these disease are increasing than before associated with the development of technologies. This study was designed to evaluate the epidemiology of prolactinoma and Cushing’s disease and their survival analysis according to treatment. Methods The nationwide, population-based study evaluated incidence and prevalence of prolactinoma and Cushing’s disease using de-identified claims data in The Korean Health Insurance Review and Assessment Service database between 2013 and 2017. The survival analysis investigated regarding treatment over a period of 6 years. A log-rank test and Cox proportional hazard regression analysis were used. Results The 6,056 patients with newly diagnosed prolactinoma and 584 patients with Cushing’s disease were recorded between 2013 and 2017. The annual incidence of prolactinoma was 23.5 cases per million, and its prevalence was 82.5 cases per million, and 2.3 cases per million/year and 9.8 cases per million for Cushing’s disease. The survival benefit was insignificant in prolactinoma according to treatment, but treatment of Cushing’s disease ameliorated the survival rate significantly. Conclusion Overall, the incidence of prolactinoma and Cushing’s disease was similar with those found previously, but the prevalence of two diseases were inconsistent when compared with the early studies. The present study also proposed necessity of treatment in Cushing’s disease for improving the survival rate.http://www.e-enm.org/upload/pdf/enm-2021-1000.pdfprolactinomapituitary acth hypersecretionincidenceprevalencesurvival analysisepidemiology
collection DOAJ
language English
format Article
sources DOAJ
author Jin Sun Park
Soo Jin Yun
Jung Kuk Lee
So Young Park
Sang Ouk Chin
spellingShingle Jin Sun Park
Soo Jin Yun
Jung Kuk Lee
So Young Park
Sang Ouk Chin
Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in Korea
Endocrinology and Metabolism
prolactinoma
pituitary acth hypersecretion
incidence
prevalence
survival analysis
epidemiology
author_facet Jin Sun Park
Soo Jin Yun
Jung Kuk Lee
So Young Park
Sang Ouk Chin
author_sort Jin Sun Park
title Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in Korea
title_short Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in Korea
title_full Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in Korea
title_fullStr Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in Korea
title_full_unstemmed Descriptive Epidemiology and Survival Analysis of Prolactinomas and Cushing’s Disease in Korea
title_sort descriptive epidemiology and survival analysis of prolactinomas and cushing’s disease in korea
publisher Academya Publishing Co.
series Endocrinology and Metabolism
issn 2093-596X
2093-5978
publishDate 2021-06-01
description Background Only a few studies have established the epidemiology of prolactinoma and Cushing’s disease in Korea. Furthermore, the incidence of these disease are increasing than before associated with the development of technologies. This study was designed to evaluate the epidemiology of prolactinoma and Cushing’s disease and their survival analysis according to treatment. Methods The nationwide, population-based study evaluated incidence and prevalence of prolactinoma and Cushing’s disease using de-identified claims data in The Korean Health Insurance Review and Assessment Service database between 2013 and 2017. The survival analysis investigated regarding treatment over a period of 6 years. A log-rank test and Cox proportional hazard regression analysis were used. Results The 6,056 patients with newly diagnosed prolactinoma and 584 patients with Cushing’s disease were recorded between 2013 and 2017. The annual incidence of prolactinoma was 23.5 cases per million, and its prevalence was 82.5 cases per million, and 2.3 cases per million/year and 9.8 cases per million for Cushing’s disease. The survival benefit was insignificant in prolactinoma according to treatment, but treatment of Cushing’s disease ameliorated the survival rate significantly. Conclusion Overall, the incidence of prolactinoma and Cushing’s disease was similar with those found previously, but the prevalence of two diseases were inconsistent when compared with the early studies. The present study also proposed necessity of treatment in Cushing’s disease for improving the survival rate.
topic prolactinoma
pituitary acth hypersecretion
incidence
prevalence
survival analysis
epidemiology
url http://www.e-enm.org/upload/pdf/enm-2021-1000.pdf
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