Events In Postanesthesia Care Unit Research Articles

Effectiveness of the Practice of Standardized Handover Process Using a Checklist in the Postanesthesia Care Unit: An Observational Study.

Patient handovers without any structured checklist may omit essential information that might have undesirable consequences for patients. We sought to determine the effectiveness of a structured postanesthesia care handover (PACH) checklist in the postanesthesia care unit (PACU) to reduce adverse clinical outcomes. A single-center, prospective, pre-postimplementation study was conducted. Moreover, post-PACH checklist implementation data were collected from 130 participants ( n = 65 in each group) by an independent observer. Data analysis was performed using the SPSS (25.0) version (IBM SPSS statistics). The Chi-square test was used to compare the dichotomous response. A statistically significant reduction in hypoxemia (21.5% vs. 0; P < 0.001) was observed in the postimplementation group. There were significant improvements in patient information ( P < 0.01), reduction in variations in hemodynamic parameters ( P < 0.01), and improvement in the quality of information transferred concerning surgical procedures ( P < 0.01). The number of phone calls to consultants was significantly lower in the PACH group. Implementation of the PACH checklist was associated with no hypoxemic events in PACU by improving the quality of communication. The implementation of a structured checklist in PACU should be mandatory in the postoperative intensive care unit.

Hypoventilation in the PACU is associated with hypoventilation in the surgical ward: Post-hoc analysis of a randomized clinical trial

ObjectiveTo evaluate the association between early postoperative hypoventilation in the last hour of the post-anesthesia care unit (PACU) stay and hypoventilation during the rest of the first 48 postoperative hours in the surgical ward. DesignSub-analysis of a clinical trial. SettingPACU and surgical wards of a single medical center. PatientsAdults having abdominal surgery under general anesthesia. InterventionsMonitoring with a respiratory volume monitor from admission to PACU until the earlier of 48 h after surgery or discharge. MeasurementsThe exposure was having at least one low minute-ventilation (MV) event during the last hour of PACU stay, defined as MV lower than 40% the predicted value lasting at least 1 min. The primary outcome was low MV events lasting at least 2 min during the rest of the first 48 postoperative hours, while in the surgical ward. The secondary outcome was the rate of low MV events per monitored hour. Main resultsData of 292 patients were analyzed, of which 20 (6.8%) patients had a low MV event in PACU. Low MV events in the surgical ward were found in 81 (28%) patients. All patients who had low MV events in PACU had events again in the ward, while 61/272 (22%) had an event in the ward but not in PACU. The incidence rate of low MV events per hour was 24 (95% CI: 13, 46) among patients having an event in the PACU, and 2 (1, 4) among those who did not. ConclusionsIn adults recovering from abdominal surgery, events of hypoventilation during the first postoperative hour are associated with similar events during the rest of the first 48 postoperative hours, with positive predictive value approaching 100%. Sixty-one patients had ward hypoventilation that was not preceded by hypoventilation in PACU.

Preoperative video distraction alleviates separation anxiety and improves induction compliance of preschool children: a randomized controlled clinical trial

Objective: To explore the effect of video distraction on preoperative separation anxiety and induction compliance of preschool children receiving strabismus surgery under general anesthesia. Methods: In this prospective trial, 80 children aged 3 to 6 years scheduled for strabismus surgery under inhalation anesthesia were randomly allocated to one of two groups, a control group and a video distraction group, with 40 cases in each group. Children in the video distraction group continuously watched videos from waiting in the holding area, separating with parents, entering the operating room and induction of anesthesia, while children in the control group didn't watch videos during the same process. The modified Yale Preoperative Anxiety Scale (mYPAS) of children were recorded upon arriving at the holding area(T1)and separating with parents(T2). Induction Compliance Checklist (ICC) score was recorded when the anesthesia induction was performed. The emergence time, the occurrence rate of adverse events in post-anesthesia care unit (PACU) including nausea and vomiting, laryngospasm, severe cough, hypoxemia and sinus bradycardia, incidence of postoperative adverse reactions such as pain, dizziness, nausea and vomiting and lethargy, the parents' satisfaction of anesthesia were also assessed. Results: There were no significant difference in mYPAS score and the proportion of mYPAS score>30 between 2 groups at T1 (all P>0.05). At T2, the mYPAS score and the proportion of mYPAS score>30 in video distraction group were (34.41±13.23) and 52.50%, which were lower than those in control group (50.64±20.96, 87.50%) with statistically significant difference (all P<0.05). The ICC score of video distraction group was lower than that of the control group, which was (1.83±2.26) vs (4.03±2.99), and the difference was statistically significant (P<0.05). The proportion of children with ICC score=0 in video distraction group was 37.50%, which was higher than that in the control group (12.50%), while the proportion of children with ICC score=4-10 was lower than that of the control group, which was 17.50% vs 45.00%, and the difference was statistically significant (P<0.05). No significant intergroup differences were observed in emergence time, incidence of adverse events in PACU, and incidence of postoperative adverse reactions (P>0.05). The parents' satisfaction of anesthesia in the video distraction group was (9.23±0.89), which was higher than that in the control group (8.63±1.23), with statistically significant (P<0.05). Conclusion: Preoperative video distraction alleviates separation anxiety, improves induction compliance of preschool children receiving strabismus surgery under general anesthesia, and increases the parents' satisfaction of anesthesia.

Respiratory complications after adenotonsillectomy in high-risk children with obstructive sleep apnea: A retrospective cohort study.

Obstructive sleep apnea (OSA) occurs in 1%-4% of children; adenotonsillectomy is an effective treatment. Mortality/severe brain injury occurs among 0.6/10000 adenotonsillectomies; in children, 60% are secondary to airway/respiratory events. Earlier studies identified that children aged <2years, extremes of weight, with co-morbidities of craniofacial, neuromuscular, cardiac/respiratory disease, or severe OSA are at high risk for adverse post-operative respiratory events (AE). We aimed to: Firstly, investigate which risk factors were associated with AEs either in the post-anesthesia care unit (PACU), pediatric intensive care unit (PICU), or both in this population. Secondly, we investigated factors associated with post-operative PICU AE despite no event in the PACU in order to predict need of post-operative PICU after their PACU stay. Retrospective study of children admitted to the PICU after adenotonsillectomy between 08/2006-09/2015. Demographics, risk factors, and occurrence of AE (oxygen saturation <92, stridor, bronchospasm, pneumonia, pulmonary edema, re-intubation) were recorded. During the studied time period 4029 tonsil/adenoid procedures were performed in 3997 children. 179, admitted to the PICU post-operatively, met criteria for analysis. PICU AEs occurred in 59%: 44%-83% in any particular risk category. PACU AEs occurred in 42%. Of those with PACU events: 92% suffered AEs in the PICU; however, 35% of those without a PACU AE still suffered a PICU AE. Among high-risk children undergoing TA, absence of adverse events in PACU during a 2-hour observation period does not predict absence of subsequent AEs in the PICU.

A quality improvement project to reduce postoperative adverse respiratory events and increase safety in the postanesthesia care unit of a pediatric institution.

Quality improvement methods can identify solutions and make dramatic improvements in patient safety during daily clinical care. The science of quality improvement in healthcare is still a very new concept in developing countries like China. We initiated a quality improvement project to minimize adverse respiratory events in our postanesthesia care unit with the guidance of an experienced quality improvement expert from Cincinnati Children's Hospital Medical Center. We set up a quality improvement team that included anesthesia safety team members at Shanghai Children's Medical Center, and a quality improvement expert in pediatric anesthesia from Cincinnati Children's Hospital Medical Center. Data from the previous year were reviewed. After using Failure Mode and Effect Analysis to access risks associated with the current process, a Key Driver Diagramand a Smart Aim were developed. Key drivers included establishing a safety culture, resource allocation to meet needs, education and training, standardization of care, improved communication and handoff, and enhanced detection, recognition, and response to adverse events. Using Plan-Do-Study-Act cycles of the improvement model, interventions were conducted to improve the process. The primary outcome was the percentage of postoperative respiratory adverse events in the postanesthesia care unit, and we calculated the average recovery time as a balancing measure. Data were collected and analyzed using a run chart and control chart. The median percentage of respiratory adverse events in postanesthesia care unit decreased from 2.8% to 1.4%. Respiratory adverse events were reduced by over 30% compared to the previous period with no significant change in mean recovery time. Using quality improvement methods, we successfully reduced the percentage of respiratory adverse events in the postanesthesia care unit. This helped to establish a safety culture among the anesthesia staff. Quality and safety improvement can be successfully implemented in developing countries like China with collaboration with quality improvement experts from more experienced institutions.

Developing models to predict early postoperative patient deterioration and adverse events.

Accurate identification of patients at risk of early postoperative deterioration allows needs-based allocation of patients to appropriate levels of care. This study aimed to record the incidence of early postoperative deterioration and identify factors predictive of at-risk patients. Doing so may assist future evidence-based perioperative planning and allocation of patients to high-acuity facilities. With ethical approval, data from elective non-cardiac surgical patients were collected between May and August 2013. Patient and surgical factors potentially related to postoperative deterioration were collected from preoperative assessment records. Data on deterioration in the postanaesthesia care unit (PACU), and on the wards were collected prospectively for a period of 72 h postoperatively. Patient factors, surgical factors and PACU events were compared with ward events using binomial logistic regression analysis. Of the 747 patients, postoperative deterioration was common both in PACU (155 (20.1%) patients) and on the wards (125 (16.7%)). Common ward events included hypotension (64 (8.2%)) and desaturation (59 (6.2%)). A rapid response team call occurred for 33 (4.4%) patients and an unplanned ICU admission for seven (0.9%) patients. A history of atrial fibrillation and chronic liver disease, duration of surgery and excessive sedation in PACU, among others, were strongly associated with subsequent ward deterioration. However, measures of surgical complexity were not. Patient factors, duration of surgery and events in PACU can be predictive of subsequent early postoperative ward clinical deterioration. Such information may aid appropriate perioperative decision-making with respect to postoperative utilization of high-acuity facilities.

The effect of nicardipine on the surgical pleth index during thyroidectomy under general anesthesia: A prospective double-blind randomized controlled trial.

Background:The effectiveness of surgical pleth index (SPI) for managing nociception-antinociception balance during general anesthesia with vasodilators, including nicardipine has not been demonstrated. We aimed to compare the time course during surgery in SPI values in patients receiving nicardipine or remifentanil infusion during thyroidectomy.Methods:Forty patients undergoing thyroidectomy were randomly assigned to receive nicardipine (group N; n = 19) or remifentanil (group R; n = 21) along with induction (propofol, fentanyl, and rocuronium) and maintenance (50% desflurane/nitrous oxide in oxygen) anesthesia (goal bispectral index [BIS] ∼50). The infusion of nicardipine or remifentanil was started before the 1st incision and adjusted to keep mean blood pressure (MBP) within ±20% of the preoperative value. SPI, BIS, end-tidal desflurane concentration (EtDes), MBP, and heart rate were recorded at 2.5 minute intervals from the 1st incision to the end of surgery. Extubation and recovery times, pain score/rescue ketorolac consumption, and adverse events in postanesthesia care unit (PACU) were recorded.Results:The trend of SPI during surgery was comparable between the 2 groups (P = 0.804), although the heart rates in group N were significantly higher than those in group R (P = 0.040). The patient characteristics, trends of BIS, EtDes, and MBP during surgery, extubation and recovery times, and incidence of nausea/vomiting were comparable between the groups. Group N had significantly lower pain scores and rescue ketorolac consumption at PACU.Conclusion:SPI was comparable between patients receiving nicardipine or remifentanil infusion during thyroidectomy under general anesthesia, which suggests that the administration of nicardipine may confound the interpretation of SPI values during general anesthesia.Clinical trial registration:This trial was registered in the UMIN clinical trials registry (unique trial number: UMIN000019058; registration number: R000022028; principal investigator's name: Young Ju Won; date of registration: September 17, 2015).