Comparison of Different Prediction Models for Unplanned Interruption of Continuous Renal Replacement Treatment: A Systematic Review of Qualitative Analyses.

Abstract

Introduction: This study will systematically search and evaluate the prediction models for unplanned interruption of continuous renal replacement treatment (CRRT) and to provide a reference for building a higher quality prediction model for unplanned interruption of CRRT.

Methods: PubMed, Embase, Cochrane Library, CINAHL, China National Knowledge Infrastructure (CNKI), SinoMed, and Wanfang Database were systematically searched for studies on prediction models for unexpected interruption of CRRT. The languages were limited to Chinese and English. The search time limit was from the establishment of the database to June 30, 2023. Two researchers screened the literature and extracted the data independently, and the risk of bias and applicability of the included literature were analyzed using the risk of bias assessment tool for predictive model studies.

Results: A total of nine studies were included, and the area under the receiver operating characteristic curve ranged from 0.679 to 0.997. The applicability of the prediction model in seven studies was good and in two studies was poor.

Conclusion: More attention should be paid to the effectiveness of different risk assessment methods in future construction, so as to obtain better risk prediction models with high accuracy and provide certain reference and basis for formulating relevant prevention strategies.