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Comparison of 2 Approaches for Determining the Natural History Risk of Brain Arteriovenous Malformation Rupture

机译:两种确定脑动静脉畸形自然史风险的方法的比较

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摘要

Estimating risk of intracranial hemorrhage (ICH) for patients with unruptured brain arteriovenous malformations (AVMs) in the natural course is essential for assessing risks and benefits of treatment. Traditionally, the survival period starts at the time of diagnosis and ends at ICH, but most patients are quickly censored because of treatment. Alternatively, a survival period from birth to first ICH, censoring at the date of diagnosis, has been proposed. The authors quantitatively compared these 2 timelines using survival analysis in 1,581 Northern California brain AVM patients (2000–2007). Time-shift analysis of the birth-to-diagnosis timeline and maximum pseudolikelihood identified the point at which the 2 survival curves overlapped; the 95% confidence interval was determined using bootstrapping. Annual ICH rates per 100 patient-years were similar for both the birth-to-diagnosis (1.27, 95% confidence interval (CI): 1.18, 1.36) and the diagnosis-to-ICH (1.17, 95% CI: 0.89, 1.53) timelines, despite differences in curve morphology. Shifting the birth-to-diagnosis timeline an optimal amount (10.3 years, 95% CI: 3.3, 17.4) resulted in similar ICH survival curves (P = 0.979). These results suggest that the unconventional birth-to-diagnosis approach can be used to analyze risk factors for natural history risk in unruptured brain AVM patients, providing greater statistical power. The data also suggest a biologic change around age 10 years influencing ICH rate.
机译:评估自然过程中未破裂的脑动静脉畸形(AVM)患者的颅内出血(ICH)风险对于评估治疗风险和益处至关重要。传统上,生存期从诊断时开始,到ICH结束,但是大多数患者由于治疗而被迅速审查。备选地,已经提出了从出生到首次ICH的生存期,在诊断之日进行检查。作者使用生存分析对北加州1,581名脑AVM患者(2000-2007年)进行了定量分析,比较了这两个时间轴。出生至诊断时间线的时移分析和最大假似然性确定了两条生存曲线重叠的点。使用自举确定95%的置信区间。从出生到诊断(1.27,95%置信区间(CI):1.18,1.36)和诊断为ICH(1.17,95%CI:0.89,1.53)每100患者年的ICH年度比率相似)时间轴,尽管曲线形态有所不同。将出生至诊断的时间轴调整为最佳量(10.3岁,95%CI:3.3,17.4)可得出相似的ICH生存曲线(P = 0.979)。这些结果表明,非常规出生诊断方法可用于分析未破裂的脑AVM患者自然史风险的危险因素,从而提供更大的统计能力。数据还表明,在10岁左右,生物学变化会影响ICH发生率。

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