目的 评估颈动脉校正血流时间(FTc)和颈动脉峰流速变异度(ΔVpeak)对老年胃肠道手术患者全麻诱导机械通气时每搏量变异度(SVV)≥13%的预测能力。方法 选取合肥市第一人民医院于2021年7月—2022年12月行腹腔镜胃肠道手术的患者60例。于气管插管后5 min(T1)测定超声参数和血流动力学参数。SVV≥13%为容量有反应组(R组);SVV < 13%为容量无反应组(N组),各纳入30例患者。完成容量负荷试验后5 min(T2),再次测量相同的血流动力学参数。采用Pearson相关性分析研究超声参数与SVV的相关性,采用ROC曲线评估FTc和ΔVpeak预测SVV≥13%的能力。结果 R组患者麻醉诱导前(T0)至T2时点FTc明显低于N组患者,而ΔVpeak明显高于N组患者,差异均有统计学意义(P＜0.05)。2组患者T2时点FTc明显高于同组T0时点,而T2时点ΔVpeak明显低于同组T0时点,差异均有统计学意义(P＜0.05)。FTc预测SVV≥13%的灵敏度为83.3%,特异度为76.7%;ΔVpeak预测SVV≥13%的灵敏度为80.0%,特异度为63.3%。FTc与SVV的相关性系数为-0.674,表明FTc和SVV呈负相关关系;ΔVpeak与SVV的相关性系数为0.765,表明ΔVpeak和SVV呈正相关关系。结论 FTc、ΔVpeak与SVV具有良好的相关性。FTc和ΔVpeak均能预测老年患者全麻期间的容量反应性。
Objective To evaluate the predictive ability of carotid corrected flow time (FTc) and carotid peak flow variability (ΔVpeak) for stroke volume variation (SVV) ≥13% during induction of mechanical ventilation under general anaesthesia in elderly patients. Methods A total of 60 patients undergoing laparoscopic gastrointestinal surgery at Hefei First People's Hospital from July 2021 to December 2022 were selected. The ultrasound parameters and hemodynamic parameters were measured 5 min after endotracheal intubation (T1). SVV≥13% was defined as responder group (R group); SVV < 13% was defined as non-responder group (N group). Finally, 30 patients were included in the R and N group, respectively. Five minutes after the volume loading test(T2), the same hemodynamic parameters were measured. Pearson correlation coefficient was used to analyze the correlation between ultrasound parameters and SVV. ROC curve was used to evaluate the ability of FTc and ΔVpeak to predict SVV≥13%. Results FTc in group R was significantly lower than that in group N from T0 (before induction of anesthesia) to T2, while ΔVpeak was significantly higher than that in group N (P < 0.05). FTc at T2 was significantly higher than that at T0, whereas ΔVpeak at T2 was significantly lower than that at T0 in both groups (P < 0.05). FTc predicted SVV≥13% with 83.3% sensitivity and 76.7% specificity. ΔVpeak predicted SVV≥13% with 80.0% sensitivity and 63.3% specificity. Pearson correlation analysis showed that the correlation coefficient between FTc and SVV was -0.674, indicating a negative correlation between FTc and SVV. The correlation coefficient between ΔVpeak and SVV was 0.765, indicating that there was a positive correlation between ΔVpeak and SVV. Conclusion FTc and ΔVpeak correlate well with SVV. Both FTc and ΔVpeak can predict fluid responsiveness during general anaesthesia in elderly patients.
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