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Published on: August 11, 2015
Prognostic factors affecting the ruptured intracranial aneurysms: A 9-year multicenter study in Fujian, China
Qiu-Yu Huang1, Qing Huang2, Shao-Wei Lin3
1Operating Room, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Insights
This study identifies key factors influencing short-term and long-term outcomes after intracranial aneurysm rupture. Prognostic models were developed to predict patient prognosis and aid prevention strategies for subarachnoid hemorrhage.
Area of Science:
- Neurology
- Neurosurgery
- Public Health
Background:
- Intracranial aneurysms (IA) rupture can lead to severe outcomes.
- Understanding prognostic factors is crucial for developing effective prevention and treatment strategies for aneurysmal subarachnoid hemorrhage.
Purpose of the Study:
- To explore factors affecting short-term prognosis and long-term outcomes of intracranial aneurysm rupture.
- To construct a prognosis prediction model using survival analysis.
Main Methods:
- A multicenter retrospective study of 1280 patients with IA rupture (2014-2022).
- Logistic regression for short-term prognostic factors.
- Cox regression and nomogram models for long-term outcomes in 911 patients.
Main Results:
- Short-term prognosis is influenced by blood type O, high systolic pressure, lower Glasgow Coma Scale (GCS) scores, diabetes, and high white blood cell count.
- Long-term outcomes are significantly affected by age > 60, hypertension, treatment type (conservative/endovascular), multiple ruptured IAs, Fisher grade, and Hunt-Hess grade.
Conclusions:
- Patients over 60 with specific characteristics face worse short-term prognosis after IA rupture.
- Older age, hypertension, certain treatments, and advanced rupture characteristics increase the risk of poor long-term outcomes.
Background:
A multicenter retrospective study was conducted to explore the factors affecting short-term prognosis and long-term outcomes of intracranial aneurysms (IA) rupture. Further, the prognosis prediction model was constructed based on survival analysis, contributing to the development of prevention strategies for aneurysmal subarachnoid hemorrhage.
Methods:
Data of 1280 patients with IA rupture were gathered between 2014 and 2022 in Fujian, China. Logistic regression was implemented to study the short-term prognostic factors of IA rupture. Survival analysis of 911 patients among them was performed to explore the long-term outcome status by Cox risk assessment. Nomogram prognosis models were constructed using R software.
Results:
The findings displayed that blood type O (OR = 1.79; P = 0.019), high systolic pressure (OR = 1.01; P < 0.001), Glasgow Coma score (GCS) 9-12 (OR = 2.73; P = 0.022), GCS < 9 (OR = 3.222; P = 0.006), diabetes (OR = 2.044; P = 0.040), and high white blood cell count (OR = 1.059, P = 0.040) were core influencing factors for poor short-term prognosis. Survival analysis revealed that age > 60 years (HR = 2.87; P = 0.001), hypertension (HR = 1.95; P = 0.001), conservative (HR = 6.89; P < 0.001) and endovascular treatment (HR = 2.20; P = 0.001), multiple ruptured IAs (HR = 2.37; P = 0.01), Fisher 3 (HR = 1.68; P = 0.09), Fisher 4 (HR = 2.75; P = 0.001), and Hunt-Hess 3 (HR = 0.55; P = 0.05) were the major risk factors for terrible long-term outcomes.
Conclusions:
People over 60 years with characteristics of type O blood, high systolic pressure, diabetes, high white blood cell count, and onset GCS < 12 will have more complications and a worse short-term prognosis. Those aged > 60 years with hypertension, conservative and endovascular treatment, multiple ruptured IAs, Fisher ≥ 3 and Hunt-Hess 3 have a greater risk of poor long-term prognosis.
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