BACKGROUND: Chronic kidney disease (CKD) represents an increasing health burden. We present the population-based prevalence of CKD and compare the CKD Epidemiology collaboration (CKD-EPI) and modification of diet in renal disease (MDRD) equations to estimate the glomerular filtration rate, using the revised CKD classification with three albuminuria classes. We also explore factors associated with CKD. METHODS: The Swiss population-based, cross-sectional CoLaus study conducted in Lausanne (2003-2006) included 2810 men and 3111 women aged 35-75. CKD prevalence was assessed using CKD-EPI and MDRD equations and albuminuria estimated by the albumin-to-creatinine ratio in spot morning urine. Multivariate logistic regression was used to analyse determinants of CKD. RESULTS: Prevalence [95% confidence interval (CI)] of all stages CKD was 10.0% (9.2-10.8%) with CKD-EPI and 13.8% (12.9-14.6%) with MDRD. Using the revised CKD classification, the prevalence of low-, medium-, high- and very high-risk groups was 90.0, 8.46, 1.18 and 0.35% with CKD-EPI, respectively. With MDRD, the corresponding values were 86.24, 11.86, 1.55 and 0.35%. Using the revised classification, CKD-EPI systematically reclassified people in a lower risk category than MDRD. Age and obesity were more strongly associated with CKD in men [odds ratio (95% CI): 2.23(1.95; 2.56) per 10 years and 3.05(2.08;4.47), respectively] than in women [1.46 (1.29; 1.65) and 1.78 (1.30;2.44), respectively]. Hypertension, type 2 diabetes, serum homocysteine and uric acid were positively independently associated with CKD in men and women. CONCLUSIONS: One in 10 adults suffers from CKD in the population of Lausanne. CKD-EPI systematically reclassifies people in a lower CKD risk category than MDRD. Serum homocysteine and uric acid levels are associated with CKD independently of classical risk factors such as age, hypertension and diabetes.
BACKGROUND:Chronic kidney disease (CKD) represents an increasing health burden. We present the population-based prevalence of CKD and compare the CKD Epidemiology collaboration (CKD-EPI) and modification of diet in renal disease (MDRD) equations to estimate the glomerular filtration rate, using the revised CKD classification with three albuminuria classes. We also explore factors associated with CKD. METHODS: The Swiss population-based, cross-sectional CoLaus study conducted in Lausanne (2003-2006) included 2810 men and 3111 women aged 35-75. CKD prevalence was assessed using CKD-EPI and MDRD equations and albuminuria estimated by the albumin-to-creatinine ratio in spot morning urine. Multivariate logistic regression was used to analyse determinants of CKD. RESULTS: Prevalence [95% confidence interval (CI)] of all stages CKD was 10.0% (9.2-10.8%) with CKD-EPI and 13.8% (12.9-14.6%) with MDRD. Using the revised CKD classification, the prevalence of low-, medium-, high- and very high-risk groups was 90.0, 8.46, 1.18 and 0.35% with CKD-EPI, respectively. With MDRD, the corresponding values were 86.24, 11.86, 1.55 and 0.35%. Using the revised classification, CKD-EPI systematically reclassified people in a lower risk category than MDRD. Age and obesity were more strongly associated with CKD in men [odds ratio (95% CI): 2.23(1.95; 2.56) per 10 years and 3.05(2.08;4.47), respectively] than in women [1.46 (1.29; 1.65) and 1.78 (1.30;2.44), respectively]. Hypertension, type 2 diabetes, serum homocysteine and uric acid were positively independently associated with CKD in men and women. CONCLUSIONS: One in 10 adults suffers from CKD in the population of Lausanne. CKD-EPI systematically reclassifies people in a lower CKD risk category than MDRD. Serum homocysteine and uric acid levels are associated with CKD independently of classical risk factors such as age, hypertension and diabetes.
Authors: Young Jin Tak; Dong Wook Jeong; Yun Jin Kim; Sang Yeoup Lee; Jeong Gyu Lee; Sang Heon Song; Kwang Soo Cha; Yang Ho Kang Journal: Int Urol Nephrol Date: 2016-01-02 Impact factor: 2.370
Authors: Katharina Brück; Kitty J Jager; Evangelia Dounousi; Alexander Kainz; Dorothea Nitsch; Johan Ärnlöv; Dietrich Rothenbacher; Gemma Browne; Vincenzo Capuano; Pietro Manuel Ferraro; Jean Ferrieres; Giovanni Gambaro; Idris Guessous; Stein Hallan; Mika Kastarinen; Gerjan Navis; Alfonso Otero Gonzalez; Luigi Palmieri; Solfrid Romundstad; Belinda Spoto; Benedicte Stengel; Charles Tomson; Giovanni Tripepi; Henry Völzke; Andrzej Wiȩcek; Ron Gansevoort; Ben Schöttker; Christoph Wanner; Jose Vinhas; Carmine Zoccali; Wim Van Biesen; Vianda S Stel Journal: Nephrol Dial Transplant Date: 2015-08 Impact factor: 5.992
Authors: Nathan R Hill; Samuel T Fatoba; Jason L Oke; Jennifer A Hirst; Christopher A O'Callaghan; Daniel S Lasserson; F D Richard Hobbs Journal: PLoS One Date: 2016-07-06 Impact factor: 3.240
Authors: Ala'a Alkerwi; Nicolas Sauvageot; Illiasse El Bahi; Charles Delagardelle; Jean Beissel; Stephanie Noppe; Paul J Roderick; Jennifer S Mindell; Saverio Stranges Journal: BMC Nephrol Date: 2017-12-08 Impact factor: 2.388
Authors: Giuseppe Cianciolo; Antonio De Pascalis; Luca Di Lullo; Claudio Ronco; Chiara Zannini; Gaetano La Manna Journal: Cardiorenal Med Date: 2017-06-21 Impact factor: 2.041