备注：我们运用Logistic逐步回归分析方法得到了肺栓塞预测诊断模型：Logit(P)=-0.89+1.51(wells评分)+1.27（心电图）-0.04（PO2）+1.52（下肢血管超声）-0.47（Caprini评分）+0.11(BMI)+0.24(Geneva评分)-0.05（PCO2）。肺栓塞预测模型约登指数为0.75， AUC值为0.93，灵敏度为 82.86%，特异度为 88.75%，当Logit(P)结果≥0.5时发生肺栓塞几率大，可进一步完善CTPA检查明确诊断。

Note: The predictive diagnostic model of pulmonary embolism was obtained by Logistic stepwise regression analysis: Logit(P)=-0.89+1.51(Wells score)+1.27 (ELECTROcardiogram) -0.04 (PO2)+ 1.52 (lower extremity vascular ultrasound) -0.47 (Caprini score)+ 0.11(BMI)+0.24(Geneva score)-0.05 (PCO2).The jorden index and AUC value of the prediction model of pulmonary embolism were 0.75, 0.93, 82.86% of sensitivity and 88.75% of specificity. When the Logit(P) result was ≥0.5, there was a high probability of pulmonary embolism, and CTPA examination could be further improved to confirm the diagnosis.

声明：版权归health.vip所有。关注我

Disclaimers: All rights reserved by Health. VIP. Add me