Walz J Matthias, Stundner Ottokar, Girardi Federico P, Barton Bruce A, Koll-Desrosiers Aimee R, Heard Stephen O, Memtsoudis Stavros G
J Matthias Walz, Stephen O Heard, Department of Anesthesiology and Perioperative Medicine, UMass Memorial Healthcare, Worcester, MA 01655, United States.
World J Orthop. 2017 Jan 18;8(1):49-56. doi: 10.5312/wjo.v8.i1.49.
To investigate the microvascular (skeletal muscle tissue oxygenation; SmO) response to transfusion in patients undergoing elective complex spine surgery.
After IRB approval and written informed consent, 20 patients aged 18 to 85 years of age undergoing > 3 level anterior and posterior spine fusion surgery were enrolled in the study. Patients were followed throughout the operative procedure, and for 12 h postoperatively. In addition to standard American Society of Anesthesiologists monitors, invasive measurements including central venous pressure, continual analysis of stroke volume (SV), cardiac output (CO), cardiac index (CI), and stroke volume variability (SVV) was performed. To measure skeletal muscle oxygen saturation (SmO) during the study period, a non-invasive adhesive skin sensor based on Near Infrared Spectroscopy was placed over the deltoid muscle for continuous recording of optical spectra. All administration of fluids and blood products followed standard procedures at the Hospital for Special Surgery, without deviation from usual standards of care at the discretion of the Attending Anesthesiologist based on individual patient comorbidities, hemodynamic status, and laboratory data. Time stamps were collected for administration of colloids and blood products, to allow for analysis of SmO immediately before, during, and after administration of these fluids, and to allow for analysis of hemodynamic data around the same time points. Hemodynamic and oxygenation variables were collected continuously throughout the surgery, including heart rate, blood pressure, mean arterial pressure, SV, CO, CI, SVV, and SmO. Bivariate analyses were conducted to examine the potential associations between the outcome of interest, SmO, and each hemodynamic parameter measured using Pearson's correlation coefficient, both for the overall cohort and within-patients individually. The association between receipt of packed red blood cells and SmO was performed by running an interrupted time series model, with SmO as our outcome, controlling for the amount of time spent in surgery before and after receipt of PRBC and for the inherent correlation between observations. Our model was fit using PROC AUTOREG in SAS version 9.2. All other analyses were also conducted in SAS version 9.2 (SAS Institute Inc., Cary, NC, United States).
Pearson correlation coefficients varied widely between SmO and each hemodynamic parameter examined. The strongest positive correlations existed between ScvO ( = 0.41) and SV ( = 0.31) and SmO; the strongest negative correlations were seen between albumin ( = -0.43) and cell saver ( = -0.37) and SmO. Correlations for other laboratory parameters studied were weak and only based on a few observations. In the final model we found a small, but significant increase in SmO at the time of PRBC administration by 1.29 units ( = 0.0002). SmO values did not change over time prior to PRBC administration ( = 0.6658) but following PRBC administration, SmO values declined significantly by 0.015 units ( < 0.0001).
Intra-operative measurement of SmO during large volume, yet controlled hemorrhage, does not show a statistically significant correlation with either invasive hemodynamic, or laboratory parameters in patients undergoing elective complex spine surgery.
研究择期复杂脊柱手术患者输血时的微血管(骨骼肌组织氧合;SmO)反应。
经机构审查委员会批准并获得书面知情同意后,20例年龄在18至85岁之间、接受三级以上前后路脊柱融合手术的患者纳入本研究。对患者在整个手术过程及术后12小时进行随访。除了标准的美国麻醉医师协会监测指标外,还进行了有创测量,包括中心静脉压、每搏量(SV)、心输出量(CO)、心脏指数(CI)和每搏量变异度(SVV)的持续分析。为在研究期间测量骨骼肌氧饱和度(SmO),将基于近红外光谱的无创粘性皮肤传感器置于三角肌上以连续记录光谱。所有液体和血液制品的输注均遵循特种外科医院的标准程序,主麻医师根据患者个体合并症、血流动力学状态和实验室数据,不偏离常规护理标准进行操作。收集胶体和血液制品输注的时间戳,以便分析这些液体输注前、输注期间和输注后的SmO,并分析同一时间点周围的血流动力学数据。在整个手术过程中持续收集血流动力学和氧合变量,包括心率、血压、平均动脉压、SV、CO、CI、SVV和SmO。进行双变量分析以检查感兴趣的结果SmO与使用Pearson相关系数测量的每个血流动力学参数之间的潜在关联,包括整个队列和患者个体内部。通过运行中断时间序列模型来分析输注浓缩红细胞与SmO之间的关联,以SmO作为我们的结果,控制输注PRBC前后的手术时间以及观察值之间的内在相关性。我们的模型使用SAS 9.2版本中的PROC AUTOREG进行拟合。所有其他分析也在SAS 9.2版本(SAS Institute Inc.,美国北卡罗来纳州卡里)中进行。
SmO与每个检查的血流动力学参数之间的Pearson相关系数差异很大。ScvO(= 0.41)和SV(= 0.31)与SmO之间存在最强的正相关;白蛋白(= -0.43)和细胞回收器(= -0.37)与SmO之间存在最强的负相关。所研究的其他实验室参数的相关性较弱,且仅基于少数观察结果。在最终模型中,我们发现输注PRBC时SmO有小幅但显著的增加,增加了1.29个单位(= 0.0002)。在输注PRBC之前,SmO值随时间没有变化(= 0.6658),但在输注PRBC之后,SmO值显著下降了0.015个单位(< 0.0001)。
在择期复杂脊柱手术患者中,在大量但可控出血期间术中测量SmO与有创血流动力学或实验室参数之间未显示出统计学上的显著相关性。