Juvela Seppo
Department of Clinical Neurosciences, University of Helsinki, FI-00029 Helsinki, Finland.
J Clin Med. 2020 Oct 18;9(10):3339. doi: 10.3390/jcm9103339.
The purpose was to obtain a reliable scoring for growth of unruptured intracranial aneurysms (UIAs) in a long-term follow-up study from variables known at baseline and to compare it with the ELAPSS (Earlier subarachnoid hemorrhage, Location of the aneurysm, Age > 60 years, Population, Size of the aneurysm, and hape of the aneurysm) score obtained from an individual-based meta-analysis. The series consists of 87 patients with 111 UIAs and 1669 person-years of follow-up between aneurysm size measurements (median follow-up time per patient 21.7, range 1.2 to 51.0 years). These were initially diagnosed between 1956 and 1978, when UIAs were not treated in our country. ELAPSS scores at baseline did not differ between those with and those without aneurysm growth. The area under the curve (AUC) for the receiver operating curve (ROC) of the ELAPSS score for predicting long-term growth was fail (0.474, 95% CI 0.345-0.603), and the optimal cut-off point was obtained at ≥7 vs. <7 points for sensitivity (0.829) and specificity (0.217). In the present series UIA growth was best predicted by female sex (4 points), smoking at baseline (3 points), and age <40 years (2 points). The AUC for the ROC of the new scoring was fair (0.662, 95% CI 0.546-0.779), which was significantly better than that of ELAPSS score ( < 0.05). The optimal cut-off point was obtained at ≥4 vs. <4 points for sensitivity (0.971) and specificity (0.304). A new simple scoring consisting of only female sex, cigarette smoking and age <40 years predicted growth of an intracranial aneurysm in long-term follow-up, significantly better than the ELAPSS score.
目的是在一项长期随访研究中,根据基线时已知的变量获得未破裂颅内动脉瘤(UIA)生长的可靠评分,并将其与基于个体的荟萃分析得出的ELAPSS(早期蛛网膜下腔出血、动脉瘤位置、年龄>60岁、人群、动脉瘤大小和动脉瘤形状)评分进行比较。该系列包括87例患有111个UIA的患者,在动脉瘤大小测量之间有1669人年的随访时间(每位患者的中位随访时间为21.7年,范围为1.2至51.0年)。这些患者最初于1956年至1978年被诊断出来,当时我国尚未对UIA进行治疗。有动脉瘤生长和无动脉瘤生长的患者在基线时的ELAPSS评分没有差异。ELAPSS评分预测长期生长的受试者工作特征曲线(ROC)的曲线下面积(AUC)较差(0.474,95%可信区间0.345-0.603),对于敏感性(0.829)和特异性(0.217),最佳截断点为≥7分与<7分。在本系列中,UIA生长最好由女性(4分)、基线时吸烟(3分)和年龄<40岁(2分)预测。新评分的ROC的AUC为中等(0.662,95%可信区间0.546-0.779),显著优于ELAPSS评分(<0.05)。对于敏感性(0.971)和特异性(0.304),最佳截断点为≥4分与<4分。仅由女性、吸烟和年龄<40岁组成的新的简单评分在长期随访中预测颅内动脉瘤的生长,显著优于ELAPSS评分。