Comparison of 24‐hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease
Abstract Diagnosis and management of chronic kidney disease (CKD) requires accurate assessment of glomerular filtration rate (GFR). In practice, GFR is typically estimated by equations based on creatinine concentration in blood, but creatinine is affected by non‐GFR factors such as age and sex. Alte...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-10-01
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| Series: | Pharmacology Research & Perspectives |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/prp2.1002 |
| _version_ | 1828343912160296960 |
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| author | Esben Iversen Lene Boesby Ditte Hansen Morten Baltzer Houlind |
| author_facet | Esben Iversen Lene Boesby Ditte Hansen Morten Baltzer Houlind |
| author_sort | Esben Iversen |
| collection | DOAJ |
| description | Abstract Diagnosis and management of chronic kidney disease (CKD) requires accurate assessment of glomerular filtration rate (GFR). In practice, GFR is typically estimated by equations based on creatinine concentration in blood, but creatinine is affected by non‐GFR factors such as age and sex. Alternative filtration markers such as cystatin C, beta‐trace protein (BTP), and beta‐2 microglobulin (B2M) may be less dependent on age and sex, but equations combining these markers have not been investigated in patients with chronic kidney disease (CKD). In this cross‐sectional study of 50 patients with CKD stage 3–4, we compared kidney function estimates based on creatinine, cystatin C, BTP, B2M, or a combination of markers. Compared to the creatinine/cystatin C combination equation, the panel equation yielded a mean difference of only 2.8 ml/min/1.73 m2, indicating that switching to the panel equation would be unlikely to affect management. |
| first_indexed | 2024-04-13T23:49:23Z |
| format | Article |
| id | doaj.art-df839a74557d4737af8f7992d1af5eb0 |
| institution | Directory Open Access Journal |
| issn | 2052-1707 |
| language | English |
| last_indexed | 2024-04-13T23:49:23Z |
| publishDate | 2022-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Pharmacology Research & Perspectives |
| spelling | doaj.art-df839a74557d4737af8f7992d1af5eb02022-12-22T02:24:11ZengWileyPharmacology Research & Perspectives2052-17072022-10-01105n/an/a10.1002/prp2.1002Comparison of 24‐hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney diseaseEsben Iversen0Lene Boesby1Ditte Hansen2Morten Baltzer Houlind3Department of Clinical Research Copenhagen University Hospital Amager and Hvidovre Hvidovre DenmarkDepartment of Nephrology Copenhagen University Hospital Herlev and Gentofte Copenhagen DenmarkDepartment of Nephrology Copenhagen University Hospital Herlev and Gentofte Copenhagen DenmarkDepartment of Clinical Research Copenhagen University Hospital Amager and Hvidovre Hvidovre DenmarkAbstract Diagnosis and management of chronic kidney disease (CKD) requires accurate assessment of glomerular filtration rate (GFR). In practice, GFR is typically estimated by equations based on creatinine concentration in blood, but creatinine is affected by non‐GFR factors such as age and sex. Alternative filtration markers such as cystatin C, beta‐trace protein (BTP), and beta‐2 microglobulin (B2M) may be less dependent on age and sex, but equations combining these markers have not been investigated in patients with chronic kidney disease (CKD). In this cross‐sectional study of 50 patients with CKD stage 3–4, we compared kidney function estimates based on creatinine, cystatin C, BTP, B2M, or a combination of markers. Compared to the creatinine/cystatin C combination equation, the panel equation yielded a mean difference of only 2.8 ml/min/1.73 m2, indicating that switching to the panel equation would be unlikely to affect management.https://doi.org/10.1002/prp2.1002beta‐2 microglobulinbeta‐trace proteinchronic kidney diseasecreatininecystatin Cestimated glomerular filtration rate |
| spellingShingle | Esben Iversen Lene Boesby Ditte Hansen Morten Baltzer Houlind Comparison of 24‐hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease Pharmacology Research & Perspectives beta‐2 microglobulin beta‐trace protein chronic kidney disease creatinine cystatin C estimated glomerular filtration rate |
| title | Comparison of 24‐hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease |
| title_full | Comparison of 24‐hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease |
| title_fullStr | Comparison of 24‐hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease |
| title_full_unstemmed | Comparison of 24‐hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease |
| title_short | Comparison of 24‐hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease |
| title_sort | comparison of 24 hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease |
| topic | beta‐2 microglobulin beta‐trace protein chronic kidney disease creatinine cystatin C estimated glomerular filtration rate |
| url | https://doi.org/10.1002/prp2.1002 |
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