Prediction Models for Post-Stroke Delirium: A Systematic Review with an Exploratory Meta-Analysis of Predictors - Takeaways - MDSpire

Prediction Models for Post-Stroke Delirium: A Systematic Review with an Exploratory Meta-Analysis of Predictors

  • By

  • Ma, Weiya

  • Ma, Sumin

  • Tang, Qiaomin

  • Sun, Yuanyuan

  • Hu, Chen

  • June 5, 2026

  • 0 min

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  • 1

    This systematic review identified predictors of post-stroke delirium (PSD) from 16 studies, encompassing 24 prediction models.

  • 2

    The meta-analytic pooled area under the curve (AUC) for these models was 0.83, indicating moderate to good discrimination.

  • 3

    Common significant predictors of PSD included age, NIHSS score, neutrophil-to-lymphocyte ratio, visual impairment, and infection.

  • 4

    PROBAST assessment revealed a high overall risk of bias in all studies, primarily due to methodological shortcomings.

  • 5

    Future research should standardize PSD diagnosis criteria and enhance validation strategies to improve model reliability.

Original Source(s)

Prediction Models for Post-Stroke Delirium: A Systematic Review with an Exploratory Meta-Analysis of Predictors

  • by Ma, Weiya , Ma, Sumin , Tang, Qiaomin , Sun, Yuanyuan , Hu, Chen

  • June 5, 2026

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