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Authors’ response to letter “Prediction of acute kidney injury in intensive care unit patients”
Critical Care volume 23, Article number: 58 (2019)
- The original article was published in Critical Care 2018 22:304
We thank Dr. Guo and coworkers for their interest and comments  on our article . We have provided responses to their comments. First, we agree that the patient severity of illness and level of organ failure upon admission to medical cardiac intensive care units (MCICUs) may be important predictors for the development of acute kidney injury (AKI). Hence, we evaluated the predictive ability of urinary liver-type fatty acid-binding protein (L-FABP) and serum N-terminal pro-B-type natriuretic peptide (NT-proBNP) for AKI in the analytical model that included the Sequential Organ Failure Assessment (SOFA) score. In the multivariate logistic regression analysis, L-FABP, NT-proBNP, and the SOFA score were all independent predictors of AKI (Table 1). According to these findings, we speculate that a novel panel consisting of L-FABP, NT-proBNP, and the SOFA score may improve the accuracy for predicting AKI in patients treated in MCICUs. Furthermore, the addition of both L-FABP and NT-proBNP to a baseline model that included established risk factors and the SOFA score further enhanced the net reclassification and integrated discrimination improvement; this difference was greater than that obtained for either of the biomarkers and the baseline model alone (Table 2). Therefore, upon admission of patients to MCICUs, combining the measurements of the two independent predictors of AKI—L-FABP and NT-proBNP—may improve the accuracy for the early prediction of AKI beyond that achieved with either predictor alone.
Second, unfortunately, the serum creatinine (SCr) concentration used for the diagnosis of AKI in our study had not been corrected according to fluid balance because of the inconsistent data recorded. Adjustment of the SCr concentration was proposed according to the assumption that the SCr concentration may be diluted by positive fluid balance . However, Shen et al. have suggested that a large proportion of the infused fluid eventually leaks into the third space instead of contributing to blood volume . Therefore, the use of adjusted SCr might have overestimated the AKI incidence . Further studies are needed to clarify this issue.
Finally, the C-index observed following the addition of both L-FABP and NT-proBNP showed the improvement beyond that of the baseline model alone (Table 2). On performing the calibration using the Hosmer–Lemeshow test, the model involving the addition of both L-FABP and NT-proBNP to the baseline model showed a good fit, whereas the model involving the addition of a single biomarker or the baseline model alone showed a poor fit.
Acute kidney injury
Liver-type fatty acid-binding protein
Medical cardiac intensive care units
N-terminal pro-B-type natriuretic peptide
Sequential Organ Failure Assessment
Guo RJ, Xue FS, Shao LJ. Prediction of acute kidney injury in intensive care unit patients. Crit Care. 2018;22:304.
Naruse H, Ishii J, Takahashi H, Kitagawa F, Nishimura H, Kawai H, et al. Predicting acute kidney injury using urinary liver-type fatty-acid binding protein and serum N-terminal pro-B-type natriuretic peptide levels in patients treated at medical cardiac intensive care units. Crit Care. 2018;22:197.
Macedo E, Bouchard J, Soroko SH, Chertow GM, Himmelfarb J, Ikizler TA, et al. Program to Improve Care in Acute Renal Disease Study. Fluid accumulation, recognition and staging of acute kidney injury in critically-ill patients. Crit Care. 2010;14:R82.
Shen Y, Zhang W. Assessing association between fluid balance and acute kidney injury after cardiac surgery. Reply J Crit Care. 2018;45:249–50.
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See related letter by Guo et al., https://ccforum.biomedcentral.com/articles/10.1186/s13054-018-2248-x
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Naruse, H., Takahashi, H. & Ishii, J. Authors’ response to letter “Prediction of acute kidney injury in intensive care unit patients”. Crit Care 23, 58 (2019). https://doi.org/10.1186/s13054-019-2340-x