脉压变异度和每搏量变异度变化值预测PCV-VG模式下患者容量反应性的准确性

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目的:评价脉压变异度变化值(ΔPPV)和每搏量变异度变化值(ΔSVV)预测压力控制容量保证通气(PCV-VG)模式下患者容量反应性的准确性。方法:择期全身麻醉下行胃肠肿瘤手术患者60例,性别不限,年龄18~64岁,BMI 18.5~23.9 kg/mn 2,ASA分级Ⅰ或Ⅱ级,麻醉诱导后手术开始前,采用PCV-VG模式进行机械通气,监测Vn T 6 ml/kg时脉压变异度(PPVn 6)和每搏量变异度(SVVn 6)。然后进行Vn T负荷试验(TVC),即将Vn T由6 ml/kg增加至8 ml/kg,维持1 min后监测Vn T 8 ml/kg时PPVn 8和SVVn 8。计算TVC前后PPV和SVV变化值(ΔPPV和ΔSVV)。完成TVC后将Vn T调回6 ml/kg进行补液试验,以补液后CI增加幅度≥15%为容量反应阳性标准,绘制各指标预测患者容量反应性的受试者工作特征(ROC)曲线。n 结果:PPVn 6、SVVn 6、PPVn 8、SVVn 8、ΔPPV和ΔSVV预测患者容量反应性的ROC曲线下面积(95%置信区间)分别为0.57(0.43~0.72)、0.62(0.47~0.76)、0.83(0.73~0.87)、0.76(0.64~0.88)、0.95(0.90~1.00)和0.91(0.86~0.99);PPVn 8、SVVn 8、ΔPPV和ΔSVV的诊断临界值分别为10.5%、13.5%、4.5%和5.5%;灵敏度分别为75%、78%、88%和85%;特异度分别为88%、87%、95%和98%。n 结论:PCV-VG模式下,ΔPPV和ΔSVV均可准确预测患者容量反应性。“,”Objective:To evaluate the accuracy of changes in pulse pressure variation (ΔPPV) and changes in stroke volume variation (ΔSVV) in predicting fluid responsiveness in the patients ventilated in pressure-controlled ventilation-volume guaranteed (PCV-VG) mode.Methods:Sixty patients of both sexes, aged 18-64 yr, with body mass index of 18.5-23.9 kg/mn 2, of American Society of Anesthesiologists physical status Ⅰ or Ⅱ, scheduled for elective resection of gastrointestinal tumor with general anesthesia, were enrolled in the study.After intravenous anesthesia induction and before the start of the surgery, the patients were ventilated in PCV-VG mode with tidal volume (Vn T) 6 ml/kg, and the PPVn 6 and SVVn 6 were recorded.TVC was then performed, Vn T was increased from 6 ml/kg to 8 ml/kg and maintained at this level for 1 min, and PPVn 8 and SVVn 8 were then monitored and recorded.The ΔPPV and ΔSVV were calculated before and after TVC.When TVC was completed, the V n T was adjusted back to 6 ml/kg for fluid replacement test.Increase in cardiac index after fluid replacement test ≥15% was considered to be a positive response.The receiver operating characteristic curve for each indicator in predicting fluid responsiveness was drawn.n Results:The results of receiver operating characteristic curve analysis showed that the area under the curve for PPVn 6, SVVn 6, PPVn 8, SVVn 8, ΔPPV and ΔSVV in predicting fluid responsiveness (95% confidence interval) was 0.57 (0.43-0.72), 0.62 (0.47-0.76), 0.83 (0.73-0.87), 0.76 (0.64-0.88), 0.95 (0.90-1.00) and 0.91 (0.86-0.99), respectively, the cutoff value of PPV n 8, SVVn 8, ΔPPV and ΔSVV was 10.5%, 13.5%, 4.5% and 5.5%, respectively, the sensitivity was 75%, 78%, 88% and 85%, respectively, and the specificity was 88%, 87%, 95% and 98%, respectively.n Conclusion:ΔPPV and ΔSVV can accurately predict fluid responsiveness in the patients ventilated in PCV-VG mode.
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