Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Neurol Sci. 2018 Sep;39(9):1591-1596. doi: 10.1007/s10072-018-3474-3. Epub 2018 Jun 25.
Manifestations of ischemic stroke vary widely, and serum biomarkers may be useful for stratification of risk of severe stroke. This study evaluated the association of lipoprotein-associated phospholipase A (Lp-PLA) mass and initial severity.
We employed a retrospective analysis on our hospital-based registry and recruited 488 first-onset ischemic stroke patients admitted within 24 h after onset and with Lp-PLA mass measured. Stroke severities evaluated by National Institutes of Health Stroke Scale (NIHSS) were compared between Lp-PLA categories dichotomized by median. Multivariate logistic regression was used to detect the independent risk factors of severe stroke (NIHSS ≥ 7) and receiver operator curve (ROC) was constructed to detect the value of addition of Lp-PLA to the model of other risk factors for predicting severe stroke.
Of the overall patients, the median admission NIHSS scores was 3 and 28.1% had severe manifestation. Admission NIHSS scores were different between patients of Lp-PLA above and under the median (median NIHSS 4 vs. 3, P < 0.001). Lp-PLA levels was correlated with admission NIHSS (r = 0.268, P < 0.001). Logistic regression showed Lp-PLA category (OR 2.37, 95%CI 1.44-3.90, P < 0.001) and levels per 100 ng/ml (OR 1.69, 95%CI 1.35-2.11, P < 0.001) were both independently associated with severe stroke. Addition of Lp-PLA category and levels to other independent risk factors both increased the area under curves (from 0.676 to 0.718 with category and 0.734 with levels).
Lp-PLA2 was independently related to admission severity in ischemic stroke patients, implying a potential predictive value of Lp-PLA2 for severe stroke in prevention.
缺血性脑卒中的表现差异很大,血清生物标志物可能有助于对严重脑卒中风险进行分层。本研究评估了脂蛋白相关磷脂酶 A(Lp-PLA)质量与初始严重程度的相关性。
我们对我院的基于登记的研究进行了回顾性分析,共招募了 488 名发病 24 小时内入院且检测了 Lp-PLA 质量的首发缺血性脑卒中患者。采用国立卫生研究院卒中量表(NIHSS)评估卒中严重程度,并将 Lp-PLA 中位数分为两类进行比较。采用多变量逻辑回归检测严重卒中(NIHSS≥7)的独立危险因素,构建受试者工作特征曲线(ROC),以检测 Lp-PLA 对其他危险因素预测严重卒中模型的附加价值。
在所有患者中,入院 NIHSS 评分中位数为 3 分,28.1%的患者表现为严重症状。Lp-PLA 高于或低于中位数的患者入院 NIHSS 评分不同(中位数 NIHSS 4 分与 3 分,P<0.001)。Lp-PLA 水平与入院 NIHSS 评分相关(r=0.268,P<0.001)。Logistic 回归显示,Lp-PLA 类别(OR 2.37,95%CI 1.44-3.90,P<0.001)和每 100ng/ml 增加 100ng/ml(OR 1.69,95%CI 1.35-2.11,P<0.001)与严重脑卒中独立相关。将 Lp-PLA 类别和水平与其他独立危险因素相结合,均增加了曲线下面积(类别增加 0.042,从 0.676 增加到 0.718,水平增加 0.058,从 0.734 增加到 0.792)。
Lp-PLA2 与缺血性脑卒中患者入院时的严重程度独立相关,提示 Lp-PLA2 对预防严重脑卒中具有潜在的预测价值。