Predictive model for in-hospital acute cerebral infarction in patients with acute gastrointestinal bleeding: a retrospective cohort study - Report - MDSpire

Predictive model for in-hospital acute cerebral infarction in patients with acute gastrointestinal bleeding: a retrospective cohort study

  • By

  • Yiqian Liang

  • Ling Zhang

  • Zunling Chen

  • Lingfeng Ruan

  • Tao Zhang

  • May 13, 2026

  • 0 min

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Clinical Report: Predictive Model for In-Hospital Acute Cerebral Infarction

Overview

This study identifies a significant association between acute gastrointestinal bleeding (GIB) and increased rates of in-hospital acute cerebral infarction (ACI). A nomogram developed from clinical variables demonstrates strong predictive capability for assessing ACI risk in patients with GIB.

Background

Acute gastrointestinal hemorrhage is a common emergency that can lead to severe complications, including anemia and hemodynamic instability. Understanding the relationship between GIB and acute cerebral infarction is crucial, as both conditions can significantly impact patient outcomes. This study aims to fill the gap in knowledge regarding the risk factors associated with in-hospital ACI in patients experiencing GIB.

Data Highlights

GroupIn-Hospital ACI Incidence
GIB Cohort7.8%
Non-GIB Cohort5.2%

Key Findings

  • In-hospital ACI was significantly more common in the GIB cohort (7.8%) compared to the non-GIB cohort (5.2%, p < 0.001).
  • Independent predictors of in-hospital ACI in the GIB cohort included antecedent cerebral infarction (OR 13.47), sepsis/infection (OR 2.43), and cerebral hemorrhage (OR 3.48).
  • Age and duration of hospital admission were also significant predictors, with odds ratios of 1.05 and 1.04 per year/day, respectively.
  • The developed nomogram showed strong internal validation with an AUC of 0.864.
  • Further external validation of the nomogram is necessary before clinical implementation.

Clinical Implications

Healthcare providers should be aware of the increased risk of acute cerebral infarction in patients with acute gastrointestinal bleeding. The nomogram developed in this study can assist in identifying high-risk patients, enabling targeted monitoring and intervention strategies.

Conclusion

The findings highlight the critical link between gastrointestinal bleeding and acute cerebral infarction, emphasizing the need for effective risk stratification tools in clinical practice.

Related Resources & Content

  1. Frontiers in Neurology, 2026 -- Development and internal validation of a machine learning model for predicting intracranial infection after spontaneous intracerebral hemorrhage: a two-center retrospective study
  2. Frontiers in Endocrinology, 2026 -- Predicting mortality in non-traumatic intracerebral hemorrhage with glucose and lipid data
  3. The Impact of Coagulopathy on Treatment Outcomes and Mortality in Patients with Traumatic Intracranial Hemorrhage, 2021
  4. European Journal of Preventive Cardiology, 2025 -- Risk factors associated with gastrointestinal bleeding in patients with cardiovascular disease (INTERBLEED): a case control study
  5. Frontline Gastroenterology, 2025 -- Acute upper gastrointestinal bleeding: state of the art review
  6. Frontiers, 2025 -- Volume of red blood cell transfusion is a risk factor for acute ischemic stroke after non-variceal upper gastrointestinal bleeding
  7. Contemporary guidance for acute gastrointestinal bleeding
  8. Frontiers | Volume of red blood cell transfusion is a risk factor for acute ischemic stroke after non-variceal upper gastrointestinal bleeding
  9. Addressing Systemic Complications of Acute Stroke: A Scientific Statement From the American Heart Association - WashU Research Profiles

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