4.6 Article

An Evaluation of Commonly Used Surrogate Baseline Creatinine Values to Classify AKI During Acute Infection

期刊

KIDNEY INTERNATIONAL REPORTS
卷 6, 期 3, 页码 645-656

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ekir.2020.12.020

关键词

acute kidney injury; microbiology; sepsis

资金

  1. Australian National Health and Medical Research Council [1037304, 1045156, 1042072, 1088738, 1138860]
  2. Improving Health Outcomes in the Tropical North: A multidisciplinary collaboration Hot North [1131932]
  3. Australian Centre of Research Excellence in Malaria Elimination
  4. US National Institutes of Health [R01 AI116472-03]
  5. Australian Government Prestigious International Research Tuition Scholarship (PIRTS)
  6. University Postgraduate Research Scholarship (UPRS)
  7. Michael Smith Foundation for Health Research Health Professional-Investigator Program
  8. Mahidol Oxford Tropical Medicine Research Unit
  9. National Health and Medical Research Council of Australia [1088738] Funding Source: NHMRC

向作者/读者索取更多资源

The study found that equations using an assumed glomerular filtration rate (GFR) of 75 ml/min underestimated the incidence of AKI in studies of acute infection. Back-calculation with the CKD-EPI equation and an assumed GFR of 100 ml/min most accurately predicted AKI but misclassified all AKI stages and had low levels of agreement with true AKI diagnoses.
Introduction: Classification of acute kidney injury (AKI) requires a premorbid baseline creatinine, often unavailable in studies in acute infection. Methods: We evaluated commonly used surrogate and imputed baseline creatinine values against a reference creatinine measured during follow-up in an adult clinical trial cohort. Known AKI incidence (Kidney Disease: Improving Global Outcomes [KDIGO] criteria) was compared with AKI incidence classified by (1) back-calculation using the Modification of Diet in Renal Disease (MDRD) equation with and without a Chinese ethnicity correction coefficient; (2) back-calculation using the Chronic Kidney Disease- Epidemiology Collaboration (CKD-EPI) equation; (3) assigning glomerular filtration rate (GFR) from age and sex-standardized reference tables; and (4) lowest measured creatinine during admission. Back calculated distributions were performed using GFRs of 75 and 100 ml/min. Results: All equations using an assumed GFR of 75 ml/min underestimated AKI incidence by more than 50%. Back-calculation with CKD-EPI and GFR of 100 ml/min most accurately predicted AKI but misclassified all AKI stages and had low levels of agreement with true AKI diagnoses. Back-calculation using MDRD and assumed GFR of 100 ml/min, age and sex-reference GFR values adjusted for good health, and lowest creatinine during admission performed similarly, best predicting AKI incidence (area under the receiver operating characteristic curves [AUC ROCs] of 0.85, 0.87, and 0.85, respectively). MDRD back calculation using a cohort mean GFR showed low total error (22%) and an AUC ROC of 0.85. Conclusion: Current methods for estimating baseline creatinine are large sources of potential error in acute infection studies. Preferred alternatives include MDRD equation back-calculation with a population mean GFR, age-and sex-specific GFR values corrected for good health, or lowest measured creatinine. Studies using surrogate baseline creatinine values should report specific methodology.

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