Comparison Between Changes in Systolic-Pressure Variation and Pulse-Pressure Variation After Passive Leg Raising to Predict Fluid Responsiveness in Postoperative Critically Ill Patients.

OBJECTIVE: The authors aimed to evaluate the precision of changes in systolic-pressure variation after passive leg raising (PLR) as a predictor of fluid responsiveness in postoperative critically ill patients, and to compare the precision of changes in pulse-pressure variation after PLR (ΔPPVPLR) with changes in systolic-pressure variation after PLR (ΔSPVPLR). DESIGN: A prospective observational study. SETTING: A surgical intensive care unit of a tertiary hospital. PARTICIPANTS: Seventy-four postoperative critically ill patients with acute circulatory failure were enrolled. INTERVENTIONS: Fluid responsiveness was defined as an increase of 10% or more in stroke volume after PLR, dividing patients into 2 groups: responders and nonresponders. MEASUREMENT AND MAIN RESULTS: Hemodynamic data were recorded at baseline and after PLR, and the stroke volume was measured by transthoracic echocardiography. Thirty-eight patients were responders, and 36 were nonresponders. ΔPPVPLR predicted fluid responsiveness with an area under the receiver operating characteristic curve (AUC) of 0.917, and the optimal cutoff value was 2.3%, with a gray zone of 1.6% to 3.3%, including 19 (25.7%) patients. ΔSPVPLR predicted fluid responsiveness with an AUC of 0.908, and the optimal cutoff value was 1.9%, with a gray zone of 1.1% to 2.0%, including 18 (24.3%) patients. No notable distinction was observed between the AUC for ΔPPVPLR and ΔSPVPLR (p = 0.805) in predicting fluid responsiveness. CONCLUSIONS: ΔSPVPLR and ΔPPVPLR could accurately predict fluid responsiveness in postoperative critically ill patients. There was no difference in the ability to predict fluid responsiveness between ΔSPVPLR and ΔPPVPLR.

PASSIVE LEG RAISING-INDUCED CHANGES IN PEAK VELOCITY VARIATION OF LEFT VENTRICULAR OUTFLOW TRACT TO PREDICT FLUID RESPONSIVENESS IN POSTOPERATIVE CRITICALLY ILL ELDERLY PATIENTS.

ABSTRACT: Background : Accurate prediction of fluid responsiveness is important for postoperative critically ill elderly patients. The objective of this study was to evaluate the predictive values of peak velocity variation (ΔVpeak) and passive leg raising (PLR)-induced changes in ΔVpeak (ΔVpeak PLR ) of the left ventricular outflow tract to predict fluid responsiveness in postoperative critically ill elderly patients. Method : Seventy-two postoperative elderly patients with acute circulatory failure who were mechanically ventilated with sinus rhythm were enrolled in our study. Pulse pressure variation (PPV), ΔVpeak, and stroke volume were collected at baseline and after PLR. An increase of >10% in stroke volume after PLR defined fluid responsiveness. Receiver operating characteristic curves and gray zones were constructed to assess the ability of ΔVpeak and ΔVpeak PLR to predict fluid responsiveness. Results : Thirty-two patients were fluid responders. The area under the receiver operating characteristic curves (AUC) for baseline PPV and ΔVpeak to predict fluid responsiveness was 0.768 (95% confidence interval [CI], 0.653-0.859; P < 0.001) and 0.899 (95% CI, 0.805-0.958; P < 0.001) with gray zones of 7.63% to 12.66% that included 41 patients (56.9%) and 9.92% to 13.46% that included 28 patients (38.9%). ΔPPV PLR predicted fluid responsiveness with an AUC of 0.909 (95% CI, 0.818-0.964; P < 0.001), and the gray zone was 1.49% to 2.93% and included 20 patients (27.8%). ΔVpeak PLR predicted fluid responsiveness with an AUC of 0.944 (95% CI, 0.863-0.984; P < 0.001), and the gray zone was 1.48% to 2.46% and included six patients (8.3%). Conclusions : Passive leg raising-induced changes in peak velocity variation of blood flow in the left ventricular outflow tract accurately predicted fluid responsiveness with a small gray zone in postoperative critically ill elderly patients.

The Accuracy of Velocity-Time Integral Variation and Peak Velocity Variation of the Left Ventricular Outflow Tract in Predicting Fluid Responsiveness in Postoperative Patients Mechanically Ventilated at Low Tidal Volumes.

OBJECTIVE: To assess whether velocity-time integral (VTI) variation and peak velocity (Vpeak) variation of the left ventricular outflow tract (LVOT) accurately could predict fluid responsiveness in postoperative critically ill patients mechanically ventilated at low tidal volumes. DESIGN: A prospective, single-center, observational study. SETTING: A surgical intensive care unit at a tertiary hospital. PARTICIPANTS: Sixty postoperative critically ill patients with deep sedation and mechanical ventilation (tidal volume <8 mL/kg) were included in this study. INTERVENTIONS: Passive leg raising (PLR). MEASUREMENT AND MAIN RESULTS: Pulse pressure variation (PPV), VTI variation, and Vpeak variation were measured at baseline and after PLR by transthoracic echocardiography. The fluid responsiveness was defined as an increase (>10%) in stroke volume after PLR. Thirty-two (53.3%) patients were fluid responders. The areas under the receiver operating characteristic (AUROC) curves for PPV were 0.797, and the gray zone was large and included 58.3% of patients. Both VTI variation and Vpeak variation predicted fluid responsiveness with the AUROC of 0.919 and 0.905; meanwhile, the best cutoff values were 12.51% (sensitivity of 71.9%; specificity of 75.0%) and 11.76% (sensitivity of 81.3%; specificity of 89.3%). The gray zones of VTI variation and Vpeak variation were from 7.41% to 11.88% (contained 23.3% patients) and from 9.96% to 13.10% (contained 28.3% patients). CONCLUSIONS: In postoperative critically ill patients mechanically ventilated with tidal volume <8 mL/kg, the VTI variation and Vpeak variation of LVOT accurately could predict fluid responsiveness, and VTI variation showed more accuracy than Vpeak variation in predicting fluid responsiveness.

Comparison of the Effects of Sufentanil and Fentanyl on Postoperative Sleep Quality of Children Undergoing Tonsillectomy and Adenotomy: A Randomized Controlled Trial.

OBJECTIVE: The primary purpose was to compare the effects of sufentanil and fentanyl on the postoperative sleep quality. And the secondary purposes were to evaluate perioperative hemodynamics, postoperative pain and complications of children undergoing tonsillectomy and adenotomy. METHODS: Seventy-six patients were randomly assigned to the sufentanil or fentanyl group. The subjective sleep quality was assessed by the Athens Insomnia Scale (AIS) on the night before surgery (Sleep preop 1), the first night after surgery (Sleep POD 1), and the third night after surgery (Sleep POD 3). The Faces Pain Scale-Revised (FPS-R) was used to evaluate the postoperative pain level 24 hours after surgery. The Observer's Assessment of Alertness and Sedation (OAA/S) scale was used to assess the level of sedation in children. Perioperative hemodynamics and adverse effects were also evaluated. RESULTS: The AIS score in the sufentanil group was significantly lower at Sleep POD 1 and Sleep POD 3 (P < 0.001, respectively). Children in the sufentanil group had significantly lower FPS-R scores at 2, 4, and 6 hours after surgery (P = 0.004, P = 0.004, and P = 0.001, respectively). The intraoperative hemodynamic parameters were more stable (P < 0.05, respectively) and the OAA/S scores at 2 hours after surgery were lower in the sufentanil group (P < 0.05). There was no significant difference in the incidence of postoperative nausea and vomiting between the two groups (P = 0.435). CONCLUSION: Children undergoing tonsillectomy and adenotomy after general anesthesia who received sufentanil had better postoperative sleep quality and less postoperative pain at 2, 4, and 6 hours post operation. Moreover, children who received sufentanil showed better hemodynamic stability during surgery. Therefore, sufentanil should be considered as a better choice to facilitate rapid recovery in children following tonsillectomy and adenotomy.

Effect of physical exercise on young anesthesiologists with on-call-related fatigue.

To explore whether exercise can effectively relieve the fatigue state of overnight shift anesthesiologists with chronic fatigue. 78 anesthesiologists between 30 and 40 years of age at four hospitals in China were analyzed in the investigation. The Profile of Mood States (POMS) and Chalder Fatigue Scale (CFS) were used to assess psychological symptoms and fatigue respectively, and data regarding demographics, health, exercise and work-related variables were also collected. The total and physical fatigue score were highest among those who seldom do exercise compared to those who always do exercise (p < .05, respectively). Moreover, anesthesiologists who exercised 30-60 min everyday had the lowest total and physical fatigue score. When exercise for more than 60 min, the total and physical fatigue scores then increased. After completing a night shift, the post-on-call total Profile of Mood States scores of those who seldom do exercise was significantly increased (t = -4.9, p < .001). These study findings suggested that regular exercise 30-60 min everyday could effectively reduce anesthesiologists' physical fatigue and decrease their negative psychological state, and anesthesiologists should positively adjust working and exercise time.