Related Experiment Video
Updated: May 2, 2026

Modeling Hypoxia/Reoxygenation Injury in Proximal Tubular Epithelial Cells
Published on: November 21, 2025
Building and validation of a prognostic model for predicting extracorporeal circuit clotting in patients with
Xia Fu1, Xinling Liang, Li Song
1Southern Medical University, Guangzhou, 510080, China, fx-rena@163.com.
Purpose:
To develop a predictive model for circuit clotting in patients with continuous renal replacement therapy (CRRT).
Methods:
A total of 425 cases were selected. 302 cases were used to develop a predictive model of extracorporeal circuit life span during CRRT without citrate anticoagulation in 24 h, and 123 cases were used to validate the model. The prediction formula was developed using multivariate Cox proportional-hazards regression analysis, from which a risk score was assigned.
Results:
The mean survival time of the circuit was 15.0 ± 1.3 h, and the rate of circuit clotting was 66.6 % during 24 h of CRRT. Five significant variables were assigned a predicting score according to the regression coefficient: insufficient blood flow, no anticoagulation, hematocrit ≥0.37, lactic acid of arterial blood gas analysis ≤3 mmol/L and APTT < 44.2 s. The Hosmer-Lemeshow test showed no significant difference between the predicted and actual circuit clotting (R (2) = 0.232; P = 0.301).
Conclusions:
A risk score that includes the five above-mentioned variables can be used to predict the likelihood of extracorporeal circuit clotting in patients undergoing CRRT.
More Related Videos
09:02A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
09:38A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time
Published on: February 14, 2017
Related Concept Videos
Extracorporeal Removal of Drugs: Continuous Renal Replacement Therapy
Continuous Renal Replacement Therapy
Acute Kidney Injury IV: Diagnostic Studies and Prevention