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
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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
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 Factor
Odds Ratio (OR)
95% Confidence Interval (CI)
p-value
History of alcohol consumption
6.423
2.224–18.552
0.001
History of leukoencephalopathy
4.555
1.664–12.469
0.003
Elevated blood glucose-to-lymphocyte ratio
1.105
1.034–1.181
0.003
Elevated D-dimer
1.102
1.029–1.180
0.005
Elevated venous blood glucose
1.201
1.037–1.390
0.014
Reduced mean platelet volume
0.704
0.537–0.925
0.012
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.