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Low rates of automatic reporting of estimated glomerular filtration rate in Southern Brazilian laboratories
Authors:Ariana Aguiar Soares  Amanda Veiga Cheuiche  Alexandre Sauer da Silva  Maria Júlia Almeida Rostirolla  Larissa Petermann Jung  Bernardo Lessa Horta  Joíza Lins Camargo  Sandra Pinho Silveiro
Affiliation:1. Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil;2. Epidemiology Graduate Program, Universidade Federal de Pelotas (UFPel), Pelotas, RS, Brazil;3. Clinical Pathology Department, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil;4. Endocrinology Unit, HCPA, Porto Alegre, RS, Brazil;1. Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China;2. Department of Emergency, The First Affiliated Hospital of Harbin Medical University, Harbin, China;1. Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China;2. Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China;3. Department of Radiation Oncology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China;4. Department of Internal Medicine, Cancer Center, Sun Yat-sen University, Guangzhou, China;5. Division of Nephrology, Department of Internal Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China;6. Key Laboratory of Tropical Diseases and Control of the Ministry of Education, Guangzhou, China;1. Laboratory Department, Faculty of Medicine, University Hospital Center “Mother Teresa”, Tirana, Albania;2. Department of Laboratory Medicine AZ St Jan Av Brugge, UGent and KU, Leuven, Belgium;1. Dept. of Medical Sciences, Cardiology, Uppsala University, 75237 Uppsala, Sweden;2. Dept. of Medical Sciences, Clinical Chemistry, Uppsala University, 75237 Uppsala, Sweden;3. Uppsala Clinical Research Center, Uppsala University, 75237 Uppsala, Sweden;4. Dept. of Medicine, Division of Cardiology, University of Alberta, Edmonton, AB T6G2H7, Canada;5. Duke Translational Medicine Institute, Duke University School of Medicine, 2301 Erwin Road, Durham, NC 27710, USA;6. Thoraxcenter, Dept. of Cardiology, Erasmus Medical Center, ''s Grafendijkwal 230, 3000 CA Rotterdam, The Netherlands;1. Department of Clinical Laboratory, Chinese People''s Liberation Army General Hospital, Beijing 100853, China;2. School of Laboratory Medicine and Life Science, Wenzhou Medical College, Whenzhou 325000, Zhejiang, China;3. Department of Hepatorenal, Beijing You''an Hospital, Capital Medical University, Beijing 100069, China;4. Beijing Strong Biotechnologies, Inc., Beijing 100233, China
Abstract:ObjectivesThe aim of this study was to evaluate the rate of eGFR reporting in Southern Brazilian laboratories.Design and methodsThe eGFR automatic reporting, as assessed by Modification of Diet in Renal Disease (MDRD) and/or Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine-based equations, was evaluated in a representative cross-sectional sample. A standardized questionnaire to obtain this information was given out by mail or email.ResultsFive-hundred fifty laboratories, evenly distributed in the different state regions, completed the questionnaire. The eGFR was automatically reported by 54 (9.8%) laboratories, and the MDRD was the most commonly used equation (94.5%). The Jaffe methods were the most employed technique (94%) to measure serum creatinine.ConclusionThe automatic eGFR reporting rate was unacceptably low, emphasizing the crucial role of educating medical teams and laboratories on the importance of having these tools available to optimize detection of renal disease and proper treatment.
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