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Advancing brain MRI as a prognostic indicator in hypoxic-ischemic encephalopathy

Pediatric Research volume 95, pages 587–589 (2024)Cite this article

A Correction to this article was published on 09 December 2023

This article has been updated

We appreciate the comprehensive comments provided by Mehmet et al.1 regarding our study of brain MRI as a predictor of outcome in infants with hypoxic-ischemic encephalopathy (HIE).2 Because MRI plays an important role in assessing the presence, location and severity of brain injury in HIE, at least 11 different brain injury classification systems have been published,3 each with its distinct advantages and disadvantages. A recent study of four highly rated classification systems,4,5,6,7 including the Trivedi system5 that was used in our study, reported AUC estimates ranging from 0.79 to 0.88 for predicting death or neurodevelopmental impairment (NDI).3 The NICHD classification system similarly demonstrated an AUC of 0.77 for predicting death or severe disability in infants enrolled in the Late Hypothermia Trial.6

Upon further analysis of our HEAL Trial data, the Trivedi system demonstrates an AUC of 0.73 (95% CI: 0.69–0.78) for predicting death or NDI. Although this estimate is slightly lower than the previous estimates summarized above, such minor differences can be accounted for by differences in inclusion criteria and outcome definitions.3,6,8 Of note, this newly calculated AUC of 0.73 from the HEAL trial closely aligns with the AUC of 0.72 that was originally reported in the Trivedi validation study.5

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References

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Funding

This study was funded by NINDS U01NS092764 and U01NS092553.

Author information

Authors and Affiliations

  1. Department of Neurology, University of California San Francisco, San Francisco, CA, USA

    Yvonne W. Wu & Hannah C. Glass

  2. Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA

    Yvonne W. Wu & Hannah C. Glass

  3. Department of Radiology, Children’s Hospital Los Angeles, Los Angeles, CA, USA

    Jessica L. Wisnowski

  4. Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, CA, USA

    Jessica L. Wisnowski

  5. Department of Epidemiology, University of California San Francisco, San Francisco, CA, USA

    Hannah C. Glass

  6. Department of Pediatrics, Saint Louis University School of Medicine, St. Louis, MO, USA

    Amit M. Mathur

  7. Department of Radiology, University of California San Francisco, San Francisco, CA, USA

    Yi Li

  8. Department of Biostatistics, University of Washington, Seattle, WA, USA

    Sarah E. Monsell & Robert C. McKinstry

  9. Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA

    Sandra E. Juul

  10. Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA

    Robert C. McKinstry

Authors
  1. Yvonne W. Wu
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Contributions

Y.W.W. made substantial contributions to conception and design, acquisition of data, and analysis and interpretation of data; wrote the first draft of the article; and provided final approval of the version to be published. S.E.M. made substantial contributions to analysis and interpretation of data; revised the article critically for important intellectual content; and provided final approval of the version to be published. H.C.G. made substantial contributions to conception and design and interpretation of data; revised the article critically for important intellectual content; and provided final approval of the version to be published. J.L.W. made substantial contributions to conception and design, acquisition of data; revised the article critically for important intellectual content; and provided final approval of the version to be published. A.M.M. made substantial contributions to conception and design, acquisition of data; revised the article critically for important intellectual content; and provided final approval of the version to be published. Y.L. made substantial contributions to acquisition of data; revised the article critically for important intellectual content; and provided final approval of the version to be published. R.C.M. made substantial contributions to conception and design, acquisition of data; revised the article critically for important intellectual content; and provided final approval of the version to be published. S.E.J. made substantial contributions to conception and design, acquisition of data, and analysis and interpretation of data; revised the article critically for important intellectual content; and provided final approval of the version to be published.

Corresponding author

Correspondence to Yvonne W. Wu.

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The authors declare no competing interests.

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The original online version of this article was revised. The following two references were missing in the original article: 1. Cizmeci, M.N., Martinez-Biarge, M. & Cowan, F.M. The predictive role of brain magnetic resonance imaging in neonates with hypoxic-ischemic encephalopathy. Pediatr Res (2023). https://doi.org/10.1038/s41390-023-02732-w.

Wu, Y.W., Monsell, S.E., Glass, H.C. et al. How well does neonatal neuroimaging correlate with neurodevelopmental outcomes in infants with hypoxic-ischemic encephalopathy?. Pediatr Res 94, 1018–1025 (2023). https://doi.org/10.1038/s41390-023-02510-8

They have both been cited in the first sentence of the article as follows: “We appreciate the comprehensive comments provided by Mehmet et al. [1] regarding our study of brain MRI as a predictor of outcome in infants with hypoxic-ischemic encephalopathy (HIE).[2]”

The other references were re-numbered accordingly.

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Wu, Y.W., Wisnowski, J.L., Glass, H.C. et al. Advancing brain MRI as a prognostic indicator in hypoxic-ischemic encephalopathy. Pediatr Res 95, 587–589 (2024). https://doi.org/10.1038/s41390-023-02786-w

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