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ORIGINAL RESEARCH

Construction and Validation of a Nomogram for Predicting Acute Kidney Injury After Hip Fracture Surgery

, , ORCID Icon, , , , & show all
Pages 181-191 | Received 29 Nov 2022, Accepted 08 Feb 2023, Published online: 12 Feb 2023

Figures & data

Figure 1 Disposition of 881 patients who had Hip fractures and were excluded (n=233), enrolled in the training set (n = 448 surgery from January 2015 to December 2019), or enrolled in the validation set (n = 200, surgery from January 2020 to December 2021).

Figure 1 Disposition of 881 patients who had Hip fractures and were excluded (n=233), enrolled in the training set (n = 448 surgery from January 2015 to December 2019), or enrolled in the validation set (n = 200, surgery from January 2020 to December 2021).

Table 1 Baseline and Perioperative Characteristics of Patients Who Received Hip Fracture Surgery in the Training Set and Validation Set

Table 2 Baseline and Perioperative Characteristics of Patients with or Without AKI Who Received Hip Fracture Surgery in the Training Set

Table 3 Multivariate Logistic Regression Analysis of Risk Factors for AKI in the Training Set

Figure 2 Nomogram for the risk of AKI after Hip fracture surgery based on logistic regression analysis.

Figure 2 Nomogram for the risk of AKI after Hip fracture surgery based on logistic regression analysis.

Figure 3 Receiver operating characteristic analysis of the training set (A) and validation set (B).

Figure 3 Receiver operating characteristic analysis of the training set (A) and validation set (B).

Figure 4 Calibration plot of the training set (A) and validation set (B).

Figure 4 Calibration plot of the training set (A) and validation set (B).

Figure 5 Decision curve analysis of the nomogram model.

Figure 5 Decision curve analysis of the nomogram model.