Risk prediction model for unplanned weaning during continuous renal replacement therapy: A cross-sectional study

Area of Science:

• Nephrology and Critical Care Medicine
• Clinical Risk Prediction Modeling
• Intensive Care Unit Management

Background:

• Unplanned weaning from continuous renal replacement therapy (CRRT) poses significant challenges in critically ill patients.
• Identifying predictive factors for unplanned CRRT cessation is crucial for optimizing patient care and resource allocation.

Purpose of the Study:

• To develop and validate a risk prediction model for unplanned weaning during CRRT in critically ill adults.
• To systematically analyze the multidimensional factors contributing to unplanned CRRT cessation.

Main Methods:

• A cross-sectional, single-center study involving 813 critically ill adult patients undergoing CRRT.
• Prospective collection of comprehensive data including demographics, clinical status, nursing parameters, vascular access, consumables, laboratory results, treatment details, and hemodynamic data.
• Development of a nomogram-based risk prediction model utilizing logistic regression analysis.

Main Results:

• Independent predictors of unplanned weaning identified: specific anticoagulant type (nemastat mesylate), scheduled treatment time > 24 hours, agitation, peak venous pressure > 114 mmHg, peak transmembrane pressure > 172 mmHg, and weight > 70 kg.
• The prediction model achieved an Area Under the Curve (AUC) of 0.874 in the training set and 0.730 in the validation set.
• The model integrates multiple risk factors to provide a quantitative risk assessment for unplanned CRRT weaning.

Conclusions:

• A nomogram-based model effectively integrates multidimensional risk factors for predicting unplanned CRRT weaning.
• Optimizing anticoagulation protocols and vigilant monitoring of hemodynamic parameters are key clinical strategies for prevention.
• Further multicenter validation is recommended to enhance the generalizability of the developed risk prediction model.