Xenon/Remifentanil Anesthesia Protects Against Adverse Effects of Losartan on Hemodynamic Challenges Induced by Anesthesia and Acute Blood Loss

Peripheral Intravenous Waveform Analysis Responsiveness to Subclinical Hemorrhage in a Rat Model

BACKGROUND

Early detection and quantification of perioperative hemorrhage remains challenging. Peripheral intravenous waveform analysis (PIVA) is a novel method that uses a standard intravenous catheter to detect interval hemorrhage. We hypothesize that subclinical blood loss of 2% of the estimated blood volume (EBV) in a rat model of hemorrhage is associated with significant changes in PIVA. Secondarily, we will compare PIVA association with volume loss to other static, invasive, and dynamic markers.

METHODS

Eleven male Sprague Dawley rats were anesthetized and mechanically ventilated. A total of 20% of the EBV was removed over ten 5 minute-intervals. The peripheral intravenous pressure waveform was continuously transduced via a 22-G angiocatheter in the saphenous vein and analyzed using MATLAB. Mean arterial pressure (MAP) and central venous pressure (CVP) were continuously monitored. Cardiac output (CO), right ventricular diameter (RVd), and left ventricular end-diastolic area (LVEDA) were evaluated via transthoracic echocardiogram using the short axis left ventricular view. Dynamic markers such as pulse pressure variation (PPV) were calculated from the arterial waveform. The primary outcome was change in the first fundamental frequency (F1) of the venous waveform, which was assessed using analysis of variance (ANOVA). Mean F1 at each blood loss interval was compared to the mean at the subsequent interval. Additionally, the strength of the association between blood loss and F1 and each other marker was quantified using the marginal R2 in a linear mixed-effects model.

RESULTS

PIVA derived mean F1 decreased significantly after hemorrhage of only 2% of the EBV, from 0.17 to 0.11 mm Hg, P = .001, 95% confidence interval (CI) of difference in means 0.02 to 0.10, and decreased significantly from the prior hemorrhage interval at 4%, 6%, 8%, 10%, and 12%. Log F1 demonstrated a marginal R2 value of 0.57 (95% CI 0.40-0.73), followed by PPV 0.41 (0.28-0.56) and CO 0.39 (0.26-0.58). MAP, LVEDA, and systolic pressure variation displayed R2 values of 0.31, and the remaining predictors had R2 values ≤0.2. The difference in log F1 R2 was not significant when compared to PPV 0.16 (95% CI -0.07 to 0.38), CO 0.18 (-0.06 to 0.04), or MAP 0.25 (-0.01 to 0.49) but was significant for the remaining markers.

CONCLUSIONS

The mean F1 amplitude of PIVA was significantly associated with subclinical blood loss and most strongly associated with blood volume among the markers considered. This study demonstrates feasibility of a minimally invasive, low-cost method for monitoring perioperative blood loss.

Peripheral Venous Waveform Analysis for Detecting Hemorrhage and Iatrogenic Volume Overload in a Porcine Model

BACKGROUND

Unrecognized hemorrhage and unguided resuscitation is associated with increased perioperative morbidity and mortality. The authors investigated peripheral venous waveform analysis (PIVA) as a method for quantitating hemorrhage as well as iatrogenic fluid overload during resuscitation.

METHODS

The authors conducted a prospective study on Yorkshire Pigs (n = 8) undergoing hemorrhage, autologous blood return, and administration of balanced crystalloid solution beyond euvolemia. Intra-arterial blood pressure, electrocardiogram, and pulse oximetry were applied to each subject. Peripheral venous pressure was measured continuously through an upper extremity standard peripheral IV catheter and analyzed with LabChart. The primary outcome was comparison of change in the first fundamental frequency (f1) of PIVA with standard and invasive monitoring and shock index (SI).

RESULTS

Hemorrhage, return to euvolemia, and iatrogenic fluid overload resulted in significantly non-zero slopes of f1 amplitude. There were no significant differences in heart rate or mean arterial pressure, and a late change in SI. For the detection of hypovolemia the PIVA f1 amplitude change generated an receiver operator curves (ROC) curve with an area under the curve (AUC) of 0.93; heart rate AUC = 0.61; mean arterial pressure AUC = 0.48, and SI AUC = 0.72. For hypervolemia the f1 amplitude generated an ROC curve with an AUC of 0.85, heart rate AUC = 0.62, mean arterial pressure AUC = 0.63, and SI AUC = 0.65.

CONCLUSIONS

In this study, PIVA demonstrated a greater sensitivity for detecting acute hemorrhage, return to euvolemia, and iatrogenic fluid overload compared with standard monitoring and SI. PIVA may provide a low-cost, minimally invasive monitoring solution for monitoring and resuscitating patients with perioperative hemorrhage.

Evaluation of hemodynamic effects of xenon in dogs undergoing hemorrhagic shock

OBJECTIVES

The anesthetic gas xenon is reported to preserve hemodynamic stability during general anesthesia. However, the effects of the gas during shock are unclear. The objective of this study was to evaluate the effect of Xe on hemodynamic stability and tissue perfusion in a canine model of hemorrhagic shock.

METHOD

Twenty-six dogs, mechanically ventilated with a fraction of inspired oxygen of 21% and anesthetized with etomidate and vecuronium, were randomized into Xenon (Xe; n = 13) or Control (C; n = 13) groups. Following hemodynamic monitoring, a pressure-driven shock was induced to reach an arterial pressure of 40 mmHg. Hemodynamic data and blood samples were collected prior to bleeding, immediately after bleeding and 5, 20 and 40 minutes following shock. The Xe group was treated with 79% Xe diluted in ambient air, inhaled for 20 minutes after shock.

RESULT

The mean bleeding volume was 44 mL.kg-1 in the C group and 40 mL.kg-1 in the Xe group. Hemorrhage promoted a decrease in both the cardiac index (p<0.001) and mean arterial pressure (p<0.001). These changes were associated with an increase in lactate levels and worsening of oxygen transport variables in both groups (p<0.05). Inhalation of xenon did not cause further worsening of hemodynamics or tissue perfusion markers.

CONCLUSIONS

Xenon did not alter hemodynamic stability or tissue perfusion in an experimentally controlled hemorrhagic shock model. However, further studies are necessary to validate this drug in other contexts.

Combining xenon and mild therapeutic hypothermia preserves neurological function after prolonged cardiac arrest in pigs

OBJECTIVE

Despite the introduction of mild therapeutic hypothermia into postcardiac arrest care, cerebral and myocardial injuries represent the limiting factors for survival after cardiac arrest. Administering xenon may confer an additional neuroprotective effect after successful cardiopulmonary resuscitation due to its ability to stabilize cellular calcium homeostasis via N-methyl-D-aspartate-receptor antagonism.

DESIGN

In a porcine model, we evaluated effects of xenon treatment in addition to therapeutic hypothermia on neuropathologic and functional outcomes after cardiopulmonary resuscitation.

SETTING

Prospective, randomized, laboratory animal study.

SUBJECTS

Fifteen male pigs.

INTERVENTIONS

Following 10 mins of cardiac arrest and 6 mins of cardiopulmonary resuscitation, ten pigs were randomized to receive either mild therapeutic hypothermia (33°C for 16 hrs) or mild therapeutic hypothermia 1 xenon (70% for 1 hr). Five animals served as normothermic controls.

MEASUREMENTS AND MAIN RESULTS

Gross hemodynamic variables were measured using right-heart catheterization. Neurocognitive performance was evaluated for 5 days after cardiopulmonary resuscitation using a neurologic deficit score before the brains were harvested for histopathological analysis. All animals survived the observation period in the mild therapeutic hypothermia 1 xenon group while one animal in each of the other two groups died. Mild therapeutic hypothermia 1 xenon preserved cardiac output during the induction of mild therapeutic hypothermia significantly better than did mild therapeutic hypothermia alone (4.6 6 0.6 L/min vs. 3.2 6 1.6 L/min, p # .05). Both treatment groups showed significantly fewer necrotic lesions in the cerebral cortex, caudate nucleus, putamen, and in hippocampal sectors CA1 and CA3/4. However, only the combination of mild therapeutic hypothermia and xenon resulted in reduced astrogliosis in the CA1 sector and diminished microgliosis and perivascular inflammation in the putamen. Clinically, only the mild therapeutic hypothermia 1 xenon-treated animals showed significantly improved neurologic deficit scores over time (day 1 = 59.0 6 27.0 vs. day 5 = 4.0 6 5.5, p ø .05) as well as in comparison to the untreated controls on days 3 through 5 after cardiopulmonary resuscitation.

CONCLUSIONS

These results demonstrate that even a short exposure to xenon during induction of mild therapeutic hypothermia results in significant improvements in functional recovery and ameliorated myocardial dysfunction.