Gamma-glutamyl transferase variability can predict the development of end-stage of renal disease: a nationwide population-based study

Autor:	Ji A Seo, Nam Hoon Kim, Sang Hyun Park, Kyung Mook Choi, Nan Hee Kim, Jee-In Heo, Hye Jin Yoo, Seon Mee Kim, Ji Hee Yu, Yong Gyu Park, Sei Hyun Baik, Da Young Lee, Kyungdo Han, Sin Gon Kim
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Male medicine.medical_treatment Metabolic disorders 030232 urology & nephrology lcsh:Medicine 030204 cardiovascular system & hematology Kidney Chronic liver disease Hemoglobins 0302 clinical medicine Risk Factors Medicine lcsh:Science Kidney transplantation Kidney diseases Multidisciplinary Hazard ratio Endocrine system and metabolic diseases Alanine Transaminase gamma-Glutamyltransferase Middle Aged Prognosis Quartile Creatinine Income Female Adult medicine.medical_specialty Renal function Article 03 medical and health sciences Renal Dialysis Internal medicine Republic of Korea Humans Aspartate Aminotransferases Renal replacement therapy Risk factor Aged Proportional Hazards Models business.industry lcsh:R medicine.disease Kidney Transplantation Confidence interval Cross-Sectional Studies Kidney Failure Chronic lcsh:Q business Biomarkers
Zdroj:	Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020) Scientific Reports
ISSN:	2045-2322
Popis:	The aim of this study is to investigate whether GGT variability is able to predict the risk of end-stage renal disease (ESRD). The study subjects were Koreans who conducted health exams supported by the Korean National Health Insurance Corporation during 2009–2012 (baseline). After excluding individuals aged
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb2b73256ec559e92a67d2e2d49e0a3c http://link.springer.com/article/10.1038/s41598-020-68603-0 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.