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Background: Although many predictive parameters have been studied, an internationally accepted, validated predictive model to predict the clinical outcome of asphyxiated infants suffering from hypoxic-ischemic encephalopathy is currently lacking. The aim of this study was to identify, appraise and summarize available clinical prediction models, and provide an overview of all investigated predictors for the outcome death or neurodevelopmental impairment in this population. Methods: A systematic literature search was performed in Medline and Embase. Two reviewers independently included eligible studies and extracted data. The quality was assessed using PROBAST for prediction model studies and QUIPS assessment tools for predictor studies. Results: A total of nine prediction models were included. These models were very heterogeneous in number of predictors assessed, methods of model derivation, and primary outcomes. All studies had a high risk of bias following the PROBAST assessment and low applicability due to complex model presentation. A total of 104 predictor studies were included investigating various predictors, showing tremendous heterogeneity in investigated predictors, timing of predictors, primary outcomes, results, and methodological quality according to QUIPS. Selected high-quality studies with accurate discriminating performance provide clinicians and researchers an evidence map of predictors for prognostication after HIE in newborns. Conclusion: Given the low methodological quality of the currently published clinical prediction models, implementation into clinical practice is not yet possible. Therefore, there is an urgent need to develop a prediction model which complies with the PROBAST guideline. An overview of potential predictors to include in a prediction model is presented. [ABSTRACT FROM AUTHOR]

Introduction: The brain magnetic resonance imaging (MRI) result is a major predictor for the outcome of term infants with perinatal asphyxia who underwent therapeutic hypothermia. In daily practice, no uniform method is used to assess these images. Purpose: The aim of this study was to determine which MRI-score best predicts adverse outcome at 24 months of age and has the highest inter-rater reliability. Methods: Four MRI scoring systems for term infants with perinatal asphyxia were selected: Rutherford score, Trivedi score, Weeke score, and NICHD NRN score. Experienced blinded raters retrospectively evaluated the brain MR Images of 161 infants using all four scoring systems. Long-term outcome (the composite outcome death or adverse outcome, and its separate components) were routinely assessed by standardized testing at the age of 24 months. The predictive accuracy was assessed by logistic regression analyses and expressed as area under the ROC curve (AUC). The inter-rater reliability of the scores was calculated by the weighted Kappa or intraclass correlation. A sensitivity analysis using only high-quality MRI scans was performed. Results: All four MRI scoring systems demonstrated an AUC of >0.66 for the prediction of adverse outcome and ≥0.80 for the prediction of death. The inter-rater reliability analyses demonstrated the highest reliability for the Weeke and Trivedi scores. When only assessing the high-quality scans, the AUC increased further. Conclusion: All four MRI brain scores proved reliable predictors for an adverse outcome at 24 months of age. The Weeke and Trivedi score demonstrated the highest inter-rater reliability. The use of high-quality MRI further improved prediction. [ABSTRACT FROM AUTHOR]