Rationalizing of Morphological Renal Parameters and eGFR for Chronic Kidney Disease Detection

Author(s):  
Deepthy Mary Alex ◽  
D. Abraham Chandy ◽  
Anand Paul
2018 ◽  
Author(s):  
Ana Palanca ◽  
Esmeralda Castelblanco ◽  
Angels Betriu ◽  
Jose M Valdivielso ◽  
Hector Perpinan ◽  
...  

Nephrology ◽  
2013 ◽  
Vol 18 (5) ◽  
pp. 340-350 ◽  
Author(s):  
David W Johnson ◽  
Emelia Atai ◽  
Maria Chan ◽  
Richard KS Phoon ◽  
Clodagh Scott ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
L. Y. Wong ◽  
A. S. T. Liew ◽  
W. T. Weng ◽  
C. K. Lim ◽  
A. Vathsala ◽  
...  

Background. Chronic Kidney Disease (CKD) is a major public health problem worldwide. There is limited literature on a model to project the number of people with CKD. This study projects the number of residents with CKD in Singapore by 2035 using a Markov model. Methods. A Markov model with nine mutually exclusive health states was developed according to the clinical course of CKD, based on a discrete time interval of 1 year. The model simulated the transition of cohorts across different health states from 2007 to 2035 using prevalence, incidence, mortality, disease transition, and disease detection rates. Results. From 2007 to 2035, the number of residents with CKD is projected to increase from 316,521 to 887,870 and the prevalence from 12.2% to 24.3%. Patients with CKD stages 1-2 constituted the largest proportion. The proportion of undiagnosed cases will decline from 72.1% to 56.4%, resulting from faster progression to higher CKD stages and its eventual detection. Conclusion. By 2035, about one-quarter of the Singapore residents are expected to have CKD. National policies need to focus on primary disease prevention and early disease detection to avoid delayed treatment of CKD which eventually leads to end-stage renal disease.


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