前瞻性观察研究:比较和评估德尔塔下降、主动脉速度时间积分变异性和上腔静脉塌陷指数,作为接受择期神经外科手术的幕上脑肿瘤患者对液体反应性的预测指标

Q3 Medicine
Neeraja Ajayan, A. Hrishi, M. Sethuraman, Unnikrishnan Prathpadas, R. Praveen, G. Divakar
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引用次数: 0

摘要

接受脑肿瘤手术切除的患者经常会出现一系列血流动力学波动,因此需要进行谨慎的输液管理。本研究旨在评估脑肿瘤神经外科手术患者输液反应性动态预测指标的可行性,这些指标包括δ下降(DD)、主动脉速度时间积分变异性(VTIAoV)和上腔静脉塌陷指数(SVCCI)。诱导后记录了生命体征、麻醉参数和研究变量的基线测量值。随后,患者在 20 分钟内接受每公斤 10 毫升胶体的液体栓塞,并在加载后重复测量。数据以平均值 ± 标准差表示。正态分布的连续变量采用学生 t 检验进行比较,P < 0.05 具有统计学意义。使用皮尔逊系数分析(r)评估变量对输液反应性的预测能力。在 30 名患者中,22 人被确定为容量反应者(R),8 人为无反应者(NR)。DD >5 mmHg 能有效区分 R 和 NR(P < 0.001),具有良好的预测能力(r = 0.759)。SVCCI >38%可区分R和NR(P < 0.001),预测能力极佳(r = 0.994)。同样,VTIAoV >20% 也是一个很好的预测指标(P < 0.05;r = 0.746)。在评估的变量中,SVCCI >38% 是一个很好的预测因子,其次是 VTIAoV >20% 和 DD >5 mm Hg,可用于评估该人群的液体状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A prospective observational study to compare and evaluate delta down, aortic velocity time integral variability, and superior vena cava collapsibility index as predictors of fluid responsiveness in patients with supratentorial brain tumors undergoing elective neurosurgery
Patients undergoing surgical resection of brain tumors frequently exhibit a spectrum of hemodynamic fluctuations necessitating careful fluid management. This study aimed to evaluate the feasibility of dynamic predictors of fluid responsiveness, such as delta down (DD), aortic velocity time integral variability (VTIAoV), and superior vena cava collapsibility index (SVCCI), in patients undergoing neurosurgery for brain tumors. In this prospective study, 30 patients scheduled to undergo elective neurosurgery for brain tumor resection were enrolled. Baseline measurements of vitals, anesthetic parameters, and study variables were recorded post-induction. Subsequently, patients received a fluid bolus of 10 mL/kg of colloid over 20 min, and measurements were repeated post-loading. Data were presented as mean ± standard deviation. The normally distributed continuous variables were compared using Student’s t-test, with P < 0.05 considered statistically significant. The predictive capability of variables for fluid responsiveness was assessed using Pearson’s coefficient analysis (r). Of the 30 patients, 22 were identified as volume responders (R), while eight were non-responders (NR). DD >5 mmHg effectively distinguished between R and NR (P < 0.001), with a good predictive ability (r = 0.759). SVCCI >38% differentiated R from NR (P < 0.001), with excellent predictability (r = 0.994). Similarly, VTIAoV >20% was also a good predictor (P < 0.05; r = 0.746). Our study revealed that most patients undergoing surgical resection of brain tumors exhibited fluid responsiveness. Among the variables assessed, SVCCI >38% emerged as an excellent predictor, followed by VTIAoV >20% and DD >5 mm Hg, for evaluating fluid status in this population.
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CiteScore
1.30
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