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Related Experiment Video

Updated: Mar 19, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

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Prediction Model Incorporating Infarct Localization for Stress Ulcer Risk Stratification in Acute Ischemic Stroke.

Guojuan Chen1,2, Peng Ding2,3, Chao Zhang2

  • 1Department of Neurology, Tangshan Gongren Hospital, Tangshan, China.

Neurocritical Care
|March 18, 2026
PubMed
Summary

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Association of Blood Pressure with Neurological Function Decline and Functional Outcome in Patients of Watershed Infarction.

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Predictive Value of NT-proBNP for Functional Outcome of Ischemic Stroke Without Cardiac Disease: A Prospective, Observational Study.

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Ischemic insular damage and stress ulcer in patients of acute ischemic stroke.

Brain and behavior·2024
This summary is machine-generated.

Predicting stress ulcers in acute ischemic stroke patients is improved by considering infarct locations. Models incorporating insular cortex, cerebellar, and medullary infarction show good performance, aiding clinical risk assessment.

Area of Science:

  • Neurology
  • Gastroenterology
  • Medical Informatics

Background:

  • Traditional stress ulcer predictors are established for intensive care settings.
  • Infarct location is a potential unique risk factor for stress ulcers in acute ischemic stroke patients.
  • Existing models lack neuroanatomical localization for stroke-related stress ulcer prediction.

Purpose of the Study:

  • To develop and validate a predictive model for stress ulcer risk in acute ischemic stroke.
  • To incorporate neuroanatomical infarct localization into the predictive model.
  • To assess the model's discriminative performance and generalizability.

Main Methods:

  • Prospective cohort study data analyzed using univariate and LASSO regression.
  • Infarct locations identified by magnetic resonance imaging (MRI) were key variables.
Keywords:
Acute ischemic strokeInfarct localizationPrediction modelStress ulcerStress ulcer prophylaxis

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  • Multivariable Cox proportional hazards modeling constructed nomogram and scoring models, validated internally (bootstrap) and externally.

    • Main Results:

    • Predictive models included insular cortex, cerebellar, and medullary infarction locations, endovascular treatment, NIH Stroke Scale score, and leukocyte count.
    • The nomogram model showed excellent discrimination (AUC 0.88) and calibration.
    • The scoring model achieved AUCs of 0.85 (training) and 0.79 (external validation).

    Conclusions:

    • Models incorporating specific infarct locations demonstrate good predictive performance for stress ulcers in acute ischemic stroke.
    • Neuroanatomical infarct localization is a valuable addition to stress ulcer risk prediction in this population.
    • Further external validation in diverse cohorts is recommended to confirm generalizability.