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Clinical Study

A nomogram based on serum cystatin C for predicting acute kidney injury in patients with traumatic brain injury

, , & ORCID Icon
Pages 206-215 | Received 02 Sep 2020, Accepted 26 Dec 2020, Published online: 21 Jan 2021

Figures & data

Table 1. Baseline characteristics of non-AKI group and AKI group in included TBI patients.

Table 2. Univariate and multivariate logistic regression analysis of risk factors for AKI after TBI.

Figure 1. ROC curves of cystatin C and constructed predictive model for predicting AKI after TBI.

Figure 1. ROC curves of cystatin C and constructed predictive model for predicting AKI after TBI.

Figure 2. (A) Nomogram of the constructed logistic model for predicting AKI in included TBI patients. The nomogram consisted of four variables including lymphocyte, serum creatinine, serum cystatin C and records of RBC transfusion. Based on the sum of corresponding points of each variable, total points could be calculated and therefore evaluated the risk of AKI. (B) Calibration plot for predicting AKI in included TBI patients.

Figure 2. (A) Nomogram of the constructed logistic model for predicting AKI in included TBI patients. The nomogram consisted of four variables including lymphocyte, serum creatinine, serum cystatin C and records of RBC transfusion. Based on the sum of corresponding points of each variable, total points could be calculated and therefore evaluated the risk of AKI. (B) Calibration plot for predicting AKI in included TBI patients.

Table 3. Predictive value of cystatin C and constructed model for predicting AKI after TBI.