PDF(Pubmed)
Abstract：
UNASSIGNED: In this cross-sectional study, it was aimed to test the predictive value of noncriteria antiphospholipid antibodies (aPL) in addition to the global antiphospholipid syndrome score (GAPSS) in predicting vascular thrombosis (VT) in a cohort of patients with APS and aPL (+) systemic lupus erythematosus (SLE).
UNASSIGNED: This study included 50 patients with primary APS, 68 with SLE/APS, and 52 with aPL (+) SLE who were classified according to VT as VT ± pregnancy morbidity (PM), PM only or aPL (+) SLE. Antiphospholipid serology consisting of lupus anticoagulant (LA), anticardiolipin (aCL) immunoglobulin G (IgG)/IgM/IgA, antibeta2 glycoprotein I (aβ2GPI) IgG/IgM/IgA, antiphosphatidylserine/prothrombin (aPS/PT) IgG/IgM and antidomain-I (aDI) IgG was determined for each patient. The GAPSS and adjusted GAPSS (aGAPSS) were calculated for each patient, as previously defined. Logistic regression analysis was carried out with thrombosis as the dependent variable and high GAPSS, aCL IgA, aβ2GPI IgA, and aDI IgG as independent variables.
UNASSIGNED: The mean GAPSS and aGAPSS of the study population were 11.6 ± 4.4 and 9.6 ± 3.8. Both the VT ± PM APS (n = 105) and PM only APS (n = 13) groups had significantly higher GAPSS and aGAPSS values compared to the aPL (+) SLE (n = 52) group. The patients with recurrent thrombosis had higher aGAPSS but not GAPSS than those with a single thrombotic event. The computed area under the receiver operating characteristic curve demonstrated that a GAPSS ≥13 and aGAPSS ≥10 had the best predictive values for thrombosis. Logistic regression analysis including a GAPSS ≥13, aCL IgA, aβ2GPI IgA, and aDI IgG showed that none of the factors other than a GAPSS ≥13 could predict thrombosis.
UNASSIGNED: Both the GAPSS and aGAPSS successfully predict the thrombotic risk in aPL (+) patients and aCL IgA, aβ2GPI IgA, and aDI IgG do not contribute to high a GAPSS or aGAPSS.
UNASSIGNED: This study included 50 patients with primary APS, 68 with SLE/APS, and 52 with aPL (+) SLE who were classified according to VT as VT ± pregnancy morbidity (PM), PM only or aPL (+) SLE. Antiphospholipid serology consisting of lupus anticoagulant (LA), anticardiolipin (aCL) immunoglobulin G (IgG)/IgM/IgA, antibeta2 glycoprotein I (aβ2GPI) IgG/IgM/IgA, antiphosphatidylserine/prothrombin (aPS/PT) IgG/IgM and antidomain-I (aDI) IgG was determined for each patient. The GAPSS and adjusted GAPSS (aGAPSS) were calculated for each patient, as previously defined. Logistic regression analysis was carried out with thrombosis as the dependent variable and high GAPSS, aCL IgA, aβ2GPI IgA, and aDI IgG as independent variables.
UNASSIGNED: The mean GAPSS and aGAPSS of the study population were 11.6 ± 4.4 and 9.6 ± 3.8. Both the VT ± PM APS (n = 105) and PM only APS (n = 13) groups had significantly higher GAPSS and aGAPSS values compared to the aPL (+) SLE (n = 52) group. The patients with recurrent thrombosis had higher aGAPSS but not GAPSS than those with a single thrombotic event. The computed area under the receiver operating characteristic curve demonstrated that a GAPSS ≥13 and aGAPSS ≥10 had the best predictive values for thrombosis. Logistic regression analysis including a GAPSS ≥13, aCL IgA, aβ2GPI IgA, and aDI IgG showed that none of the factors other than a GAPSS ≥13 could predict thrombosis.
UNASSIGNED: Both the GAPSS and aGAPSS successfully predict the thrombotic risk in aPL (+) patients and aCL IgA, aβ2GPI IgA, and aDI IgG do not contribute to high a GAPSS or aGAPSS.
摘要：
■在这项横断面研究中，本研究的目的是在APS和aPL(+)系统性红斑狼疮(SLE)患者队列中,除了整体抗磷脂综合征评分(GAPSS)外,还检验非标准抗磷脂抗体(aPL)对预测血管血栓形成(VT)的预测价值.
■这项研究包括50例原发性APS患者，68与SLE/APS，根据VT分类为VT±妊娠发病率（PM）的aPL（）SLE52例，PMonly或aPL(+)SLE。由狼疮抗凝物（LA）组成的抗磷脂血清学，抗心磷脂（aCL）免疫球蛋白G（IgG）/IgM/IgA，抗β2糖蛋白I（aβ2GPI）IgG/IgM/IgA，测定每位患者的抗磷脂酰丝氨酸/凝血酶原(aPS/PT)IgG/IgM和抗域I(aDI)IgG.计算每位患者的GAPSS和校正后的GAPSS（aGAPSS），如先前定义的。以血栓形成为因变量和高GAPSS进行Logistic回归分析,aCLIgA,αβ2GPIIgA，和ADIIgG作为独立变量。
■研究人群的平均GAPSS和aGAPSS分别为11.6±4.4和9.6±3.8。与aPL（）SLE（n=52）组相比，VT±PMAPS（n=105）和仅PMAPS（n=13）组的GAPSS和aGAPSS值明显更高。复发性血栓形成患者的aGAPSS较高，但GAPSS不高于单一血栓事件患者。受试者工作特征曲线下的计算面积表明，GAPSS≥13和aGAPSS≥10具有最佳的血栓形成预测值。Logistic回归分析包括GAPSS≥13，aCLIgA，αβ2GPIIgA，和aDIIgG显示，除GAPSS≥13外，没有其他因素可以预测血栓形成。
■GAPSS和aGAPSS均成功预测aPL(+)患者和aCLIgA患者的血栓形成风险，αβ2GPIIgA，和aDIIgG不会导致高GAPSS或aGAPSS。
■这项研究包括50例原发性APS患者，68与SLE/APS，根据VT分类为VT±妊娠发病率（PM）的aPL（）SLE52例，PMonly或aPL(+)SLE。由狼疮抗凝物（LA）组成的抗磷脂血清学，抗心磷脂（aCL）免疫球蛋白G（IgG）/IgM/IgA，抗β2糖蛋白I（aβ2GPI）IgG/IgM/IgA，测定每位患者的抗磷脂酰丝氨酸/凝血酶原(aPS/PT)IgG/IgM和抗域I(aDI)IgG.计算每位患者的GAPSS和校正后的GAPSS（aGAPSS），如先前定义的。以血栓形成为因变量和高GAPSS进行Logistic回归分析,aCLIgA,αβ2GPIIgA，和ADIIgG作为独立变量。
■研究人群的平均GAPSS和aGAPSS分别为11.6±4.4和9.6±3.8。与aPL（）SLE（n=52）组相比，VT±PMAPS（n=105）和仅PMAPS（n=13）组的GAPSS和aGAPSS值明显更高。复发性血栓形成患者的aGAPSS较高，但GAPSS不高于单一血栓事件患者。受试者工作特征曲线下的计算面积表明，GAPSS≥13和aGAPSS≥10具有最佳的血栓形成预测值。Logistic回归分析包括GAPSS≥13，aCLIgA，αβ2GPIIgA，和aDIIgG显示，除GAPSS≥13外，没有其他因素可以预测血栓形成。
■GAPSS和aGAPSS均成功预测aPL(+)患者和aCLIgA患者的血栓形成风险，αβ2GPIIgA，和aDIIgG不会导致高GAPSS或aGAPSS。
