Department of Geriatrics, University Medical Center Utrecht, Room B05.2.25, PO Box 85500, 3508 GA Utrecht, The Netherlands.
Department of Radiology, University Medical Center Utrecht, Room F01.503, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
J Neuroradiol. 2020 Sep;47(5):337-342. doi: 10.1016/j.neurad.2019.04.002. Epub 2019 Apr 26.
Risk factors for and meaning of basal ganglia calcifications outside Fahr syndrome are poorly understood. We aimed to assess the prevalence of basal ganglia calcifications and the association with vascular risk factors.
1133 patients suspected of acute ischemic stroke from the Dutch acute stroke (DUST) study who underwent thin-slice unenhanced brain CT were analyzed. Basal ganglia calcifications were scored bilaterally as absent, mild (dot), moderate (multiple dots or single artery) and severe (confluent). Uni- and multivariable logistic regression analysis was used to determine possible risk factors (age, gender, history of stroke, smoking, hypertension, diabetes mellitus, hyperlipidemia, body mass index (BMI), renal function and family history of cardiovascular disease under 60 years) for presence of basal ganglia calcifications and ordinal regression analysis for severity of basal ganglia calcifications.
Mean age was 67.4 years (SD: 13.8), 56.8% were male. 337 (29.7%) patients had basal ganglia calcifications, of which 196 (58%) were mild, 103 (31%) moderate, 38 (11%) severe. In multivariable logistic regression analysis, age (OR: 1.02, 95% CI 1.01-1.03, P < 0.01) and BMI (OR: 0.95, 95% CI 0.91-0.98, p 0.01) were significantly associated with the presence of basal ganglia calcifications. Ordinal regression analysis gave comparable results. Age (OR: 1.02, 95% CI 1.01-1.03, P < 0.01) and BMI (OR: 0.95, 95% CI 0.92-0.99, P 0.01) were significantly associated with severity of basal ganglia calcifications.
In this study with patients suspected of acute ischemic stroke, basal ganglia calcifications were common and significantly associated with older age and lower BMI.
除了 Fahr 综合征外，基底节钙化的危险因素及其意义尚不清楚。我们旨在评估基底节钙化的患病率，并探讨其与血管危险因素的关系。
我们对荷兰急性卒中（DUST）研究中 1133 例疑似急性缺血性卒中的患者进行了薄层非增强脑 CT 分析。双侧基底节钙化评分分为无、轻度（点状）、中度（多发点状或单支动脉）和重度（融合性）。采用单变量和多变量逻辑回归分析确定可能的危险因素（年龄、性别、卒中史、吸烟、高血压、糖尿病、高脂血症、体重指数（BMI）、肾功能和 60 岁以下心血管疾病家族史）与基底节钙化的存在，以及有序回归分析基底节钙化的严重程度。
平均年龄为 67.4 岁（标准差：13.8），56.8%为男性。337 例（29.7%）患者存在基底节钙化，其中 196 例（58%）为轻度钙化，103 例（31%）为中度钙化，38 例（11%）为重度钙化。在多变量逻辑回归分析中，年龄（比值比：1.02，95%置信区间 1.01-1.03，P<0.01）和 BMI（比值比：0.95，95%置信区间 0.91-0.98，p<0.01）与基底节钙化的存在显著相关。有序回归分析得出了类似的结果。年龄（比值比：1.02，95%置信区间 1.01-1.03，P<0.01）和 BMI（比值比：0.95，95%置信区间 0.92-0.99，P<0.01）与基底节钙化的严重程度显著相关。
在这项疑似急性缺血性卒中患者的研究中，基底节钙化较为常见，与年龄较大和 BMI 较低显著相关。
