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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Kang, Eunjeong Han, Seung Seok Kim, Jayoun Park, Sue Kyung Chung, Wookyung Oh, Yun Kyu Chae, Dong-Wan Kim, Yong-Soo Ahn, Curie Oh, Kook-Hwan |
| Abstract | Background Serum creatinine (Cr) and cystatin C (CysC) can both be used to estimate glomerular filtration rate (eGFRCr and eGFRCysC). However, certain conditions may cause discrepancies between eGFR trends from Cr and CysC, and these remain undetermined in patients with chronic kidney disease (CKD). Methods A total of 1069 patients from the Korean CKD cohort (KNOW-CKD), which enrolls pre-dialytic CKD patients, whose Cr and CysC had been followed for more than 4 years were included in the sample. We performed trajectory analysis using latent class mixed modeling and identified members of the discrepancy group when patient trends between eGFRCr and eGFRCysC differed. Multivariate logistic analyses with Firth’s penalized likelihood regression models were performed to identify conditions related to the discrepancy. Results Trajectory patterns of eGFRCr were classified into three groups: two groups with stable eGFRCr (stable with high eGFRCr and stable with low eGFRCr) and one group with decreasing eGFRCr. Trajectory analysis of eGFRCysC also showed similar patterns, comprising two groups with stable eGFRCysC and one group with decreasing eGFRCysC. Patients in the discrepancy group (decreasing eGFRCr but stable & low eGFRCysC; n = 55) were younger and had greater proteinuria values than the agreement group (stable & low eGFRCr and eGFRCysC; n = 706), differences that remained consistent irrespective of the measurement period (4 or 5 years). Conclusions In the present study, we identify conditions related to discrepant trends of eGFRCr and eGFRCysC. Clinicians should remain aware of such potential discrepancies when tracing both Cr and CysC. |
| Related Links | https://bmcnephrol.biomedcentral.com/counter/pdf/10.1186/s12882-020-01932-4.pdf |
| Ending Page | 9 |
| Page Count | 9 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712369 |
| DOI | 10.1186/s12882-020-01932-4 |
| Journal | BMC Nephrology |
| Issue Number | 1 |
| Volume Number | 21 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2020-07-16 |
| Access Restriction | Open |
| Subject Keyword | Nephrology Internal Medicine Chronic kidney disease Creatinine Cystatin C Estimated glomerular filtration rate Trajectory pattern |
| Content Type | Text |
| Resource Type | Article |
| Subject | Nephrology |
| Journal Impact Factor | 2.2/2023 |
| 5-Year Journal Impact Factor | 2.6/2023 |
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