Analysis of risk factors for hemorrhagic transformation after mechanical thrombectomy in acute anterior circulation large vessel occlusion stroke and construction of a nomogram prediction model - Report - MDSpire

Analysis of risk factors for hemorrhagic transformation after mechanical thrombectomy in acute anterior circulation large vessel occlusion stroke and construction of a nomogram prediction model

  • By

  • Mujie Yao

  • Keqi Lei

  • Yue Wan

  • May 29, 2026

  • 0 min

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Clinical Report: Evaluation of Hemorrhagic Transformation Risk Factors Following Mechanical Thrombectomy

Overview

This study identifies six independent risk factors for hemorrhagic transformation (HT) after mechanical thrombectomy in patients with acute anterior circulation large vessel occlusion. A predictive nomogram was developed, demonstrating good discrimination and clinical utility.

Background

Hemorrhagic transformation (HT) is a significant complication following mechanical thrombectomy (MT) in acute ischemic stroke, impacting patient outcomes. Understanding the risk factors associated with HT is crucial for optimizing treatment strategies and improving prognoses. This study aims to enhance risk stratification and provide a predictive tool for clinicians.

Data Highlights

Risk FactorOdds Ratio (OR)95% Confidence Interval (CI)p-value
History of alcohol consumption6.4232.224–18.5520.001
History of leukoencephalopathy4.5551.664–12.4690.003
Elevated blood glucose-to-lymphocyte ratio1.1051.034–1.1810.003
Elevated D-dimer1.1021.029–1.1800.005
Elevated venous blood glucose1.2011.037–1.3900.014
Reduced mean platelet volume0.7040.537–0.9250.012

Key Findings

  • Six independent risk factors for HT identified: alcohol consumption, leukoencephalopathy, elevated GLR, D-dimer, venous blood glucose, and reduced MPV.
  • The predictive nomogram demonstrated an AUC of 0.880, indicating strong discriminative ability.
  • Calibration curve analysis showed good model fit (χ2 = 9.059, p = 0.337).
  • Decision curve analysis indicated a net benefit rate > 0 for threshold probabilities ranging from 0.01 to 0.97.
  • HT occurs in 10 to 49.5% of patients post-thrombectomy, significantly affecting outcomes.
  • Systemic inflammation plays a key role in mediating post-ischemic microvascular injury and HT risk.

Clinical Implications

Clinicians should consider the identified risk factors when assessing patients for mechanical thrombectomy to better predict the likelihood of hemorrhagic transformation. The developed nomogram can serve as a practical tool for individualized risk assessment and management strategies.

Conclusion

Summarize how these findings compare to previous studies on hemorrhagic transformation.

Related Resources & Content

  1. Author(s)/Org, Source, Year -- Title
  2. American Heart Association, 2026 Guideline for the Early Management of Patients With AIS
  3. Frontiers in Neurology — Preoperative multimodal CT for selection of acute anterior circulation occlusion stroke patients for mechanical thrombectomy
  4. Frontiers in Cardiovascular Medicine — Optimizing catheter-directed thrombolysis access and predicting post-thrombotic syndrome in acute entire-limb DVT: a retrospective cohort study and nomogram development
  5. Frontiers in Neurology — Clinical multidimensional prediction model for futile reperfusion in acute ischemic stroke after endovascular thrombectomy
  6. Frontiers in Neurology — Risk factors for lower limb deep vein thrombosis in patients with intracerebral hemorrhage: a retrospective study using LASSO regression to develop a nomogram
  7. Preoperative multimodal CT for selection of acute anterior circulation occlusion stroke patients for mechanical thrombectomy
  8. Optimizing catheter-directed thrombolysis access and predicting post-thrombotic syndrome in acute entire-limb DVT
  9. Clinical multidimensional prediction model for futile reperfusion in acute ischemic stroke after endovascular thrombectomy
  10. 2026 Guideline for the Early Management of Patients With AIS - Professional Heart Daily | American Heart Association
  11. Development of a predictive model for hemorrhagic transformation following mechanical thrombectomy in patients with acute ischemic stroke | BMC Neurology | Springer Nature Link
  12. Automated Detection and Quantification of Hemorrhagic Transformation After Endovascular Thrombectomy | medRxiv

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