A Retrospective Study Establishing a Nomogram Predictive Model for Postoperative High-Activity Delirium After Non-Cardiac Surgery.

Background: Postoperative high-activity delirium (PDHA) manifests as a high alertness, restlessness, hallucinations, and delusions. Occurrence of PDHA represents an increased risk of poor prognosis for patients. Objective: To establish and validate a nomogram prediction model for high-activity delirium after non-cardiac surgery in a post-anesthesia care unit (PACU). Methods: This study retrospectively enrolled adult patients who underwent non-cardiac surgery and were observed in the PACU as training data. Patients were divided into PDHA (199 patients) and non-PDHA (396 patients) groups. Patients' general data, preoperative indicators, intraoperative conditions, and postoperative PACU conditions were collected. The risk factors for PDHA were identified using univariate and multivariate logistic regression analyses. A predictive column chart was created using R language. Adult patients who underwent non-cardiac surgery and entered the PACU for observation were randomly selected as the validation set data (198 cases) for model performance validation. Results: The incidence rate of adult PDHA in the PACU was 0.275%. Sex, age, smoking history, low preoperative albumin level, Society of Anesthesiologists (ASA) classification, anesthesia duration, and postoperative PACU pain score were independent risk factors for hyperactive delirium in PACU adults. In this study, an adult PACU PDHA nomogram prediction model was developed. The training dataset verified that the ROC curve (area under the curve) and 95% confidence interval (95% CI) were 0.936 (0.917-0.955). The ROC curve of the validation data row showed that the area under the curve and 95% CI were 0.926 (0.885-0.967). Conclusion: The nomogram predictive model for PACU adult high-activity delirium constructed in this study showed good predictive performance. This model could enable the visualization and graphical prediction of adult high-activity delirium occurrence after PACU, which has clinical value.

Decreasing Postsurgical Length of Stay in the Postanesthesia Care Unit for Obstructive Sleep Apnea and Obese Patients Using Exspiron Minute Ventilation Monitoring.

PURPOSE: In the postanesthesia care unit (PACU), it is imperative to monitor respiration and ventilation, especially in patients diagnosed with or at risk for obstructive sleep apnea (OSA). Research studies have been published to highlight the importance of minute ventilation monitoring (MVM) as an early warning system of impending respiratory compromise, warranting studies to assess timely safe discharge in this high-risk population at UC San Diego Health. DESIGN: This quantitative study was conducted using a two-group comparative design method. METHODS: Length of stay was measured in 100 patients identified as high risk in the surgical setting with diagnosed or suspected OSA or a documented body mass index ≥40 with and without the use of MVM to evaluate its impact on PACU length of stay. Fifty patients were monitored using the University of California San Diego (USCD) Health standard of care monitoring of respiratory rate, pulse oximetry, and capnography when indicated, then compared to 50 patients monitored with the UCSD Health standard of care with the addition of MVM using the Exspiron monitoring device. FINDINGS: PACU length of stay decreased for those who received MVM (M = 106.22, SD = 56.85) than those who did not (M = 140.96, SD = 81.55), a statistically significant difference of 34.74 (95% CI, 6.64 to 62.83), t(97) = 2.46, P = .016. Total time savings between the 2 groups was 1,843 minutes of PACU bed occupancy. CONCLUSIONS: The use of minute ventilation monitoring in addition to the standard of care in postsurgical patients can significantly reduce the length of high-risk patients with known or suspected OSA safely from the postoperative care unit.

Empowering Nurses to Increase Certification Rates in a Postanesthesia Care Unit: A Collaborative Team Approach.

PURPOSE: The number of postanesthesia care unit (PACU) registered nurses (RNs) with a specialty nursing certification at an orthopedic hospital in an academic health system was below the organizational benchmark. A clinical nurse-led process was developed to increase the percentage of PACU RNs with a specialty certification. This article will describe the strategies and interventions identified to support, reward, and recognize nurses who obtain or maintain their specialty certifications. DESIGN: A performance improvement project using the Plan-Do-Study-Act cycle. METHODS: A gap analysis identified barriers preventing PACU nurses from obtaining specialty certifications in an orthopedic acute care American Nurses Credentialing Center Magnet-designated hospital. An anonymous web-based survey was distributed to 18 nurses who, although eligible, were not certified. The survey assessed common barriers to certification (eg, cost of the examination, comfort level with the testing process, level of access to review courses and study materials, expense to maintain credentials, personal interest in certification, and awareness of qualification information to take the exam). The project team included PACU nurse leaders, certified clinical nurses, nursing professional development specialists, and other interdisciplinary team members (eg, content experts from different departments). FINDINGS: Eighteen RNs completed the anonymous survey. The leading barrier was the expense of the certification exam (73%), while 66% of respondents reported discomfort with the test-taking process. Additionally, 61% of nurses reported that more access to review courses and study materials is needed, 44% responded that the expense of maintaining credentials is a barrier, 39% responded that the additional compensation pay for a specialty certification was considered to be insufficient, 39% agreed there is a lack of information on eligibility criteria, and 6% responded that they have no interest or desire to become certified. The survey results informed implementation strategies to increase certification rates, including initiating peer-to-peer exam groups and ongoing collaboration with nurse leaders on reward and recognition strategies. The removal of known barriers to obtaining specialty certification significantly increased certification rates in the PACU. Over the project period, the percentage of PACU-certified nurses increased to 60%, exceeding the project goal of 51%. CONCLUSIONS: Peer-to-peer education and collaboration with nursing leadership and other interdisciplinary team members helped increase PACU's certification rates in this orthopedic specialty hospital. The informational and recognition strategies were impactful, resulting in additional nurses interested in becoming certified. Newly certified nurses are now motivating others to seek certification. Based on this well-established support system, the PACU certification rate is anticipated to continue to rise.

Feasibility of deescalating postoperative care in enhanced recovery after cardiac surgery.

Introduction: Enhanced Recovery After Surgery (ERAS) prioritizes faster functional recovery after major surgery. An important aspect of postoperative ERAS is decreasing morbidity and immobility, which can result from prolonged critical care. Using current clinical data, our aim was to analyze whether a six-hour monitoring period after Minimally Invasive Cardiac Surgery (MICS) might be sufficient to recognize major postoperative complications in a future Fast Track pathway. Additionally, we sought to investigate whether it could be possible to deescalate the setting of postoperative monitoring. Methods: 358 patients received MICS and were deemed suitable for an ERAS protocol between 01/2021 and 03/2023 at our institution. Of these, 297 patients could be successfully extubated on-table, were transferred to IMC or ICU in stable condition and therefore served as study cohort. Outcomes of interest were incidence and timing of Major Adverse Cardiac Events (MACE; death, myocardial infarction requiring revascularization, stroke), bleeding requiring reexploration and Fast Track-associated complications (reintubation and readmission to ICU). Results: Patients' median age was 63 years (IQR 55-70) and 65% were male. 189 (64%) patients received anterolateral mini-thoracotomy, primarily for mitral and/or tricuspid valve surgery (n = 177). 108 (36%) patients had partial upper sternotomy, primarily for aortic valve repair/replacement (n = 79) and aortic surgery (n = 17). 90% of patients were normotensive without need for vasopressors within 6 h postoperatively, 82% of patients were transferred to the general ward on postoperative day 1 (POD). Two (0.7%) MACE events occurred, as well as 4 (1.3%) postoperative bleeding events requiring reexploration. Of these complications, only one event occurred before transfer to the ward - all others took place on or after POD 1. There was one instance of reintubation and two of readmission to ICU. Conclusions: If MICS patients can be successfully extubated on-table and are hemodynamically stable, major postoperative complications were rare in our single-center experience and primarily occurred after transfer to the ward. Therefore, in well selected MICS patients with uncomplicated intraoperative course, monitoring for six hours, possibly outside of an ICU, followed by transfer to the ward appears to be a feasible theoretical concept without negative impact on patient safety.

Implementation of Continuous Capnography Protocol in a Postanesthesia Care Unit for Adult Patients at High-risk of Postoperative Respiratory Depression.

PURPOSE: This project aimed to implement a continuous capnography protocol in the postanesthesia care unit (PACU) for postoperative adult patients who are at high risk for respiratory failure. DESIGN: A preintervention and postintervention quality improvement design with retrospective chart reviews evaluated patient demographics (age, weight, body mass index [BMI], perioperative fluid intake and output, use of intraoperative positive-end expiratory pressure), length of surgery, average length of PACU stay, incidence of respiratory events, and adherence to a PACU capnography protocol. METHODS: Preimplementation data were collected from retrospective chart reviews over a 3-month period. A continuous capnography protocol was implemented for same-day surgery patients with a BMI of 35 kg/m2 or greater and who received general anesthesia. Postimplementation data were collected over 3 months in addition to adherence to the capnography protocol. This was presented using descriptive statistics. FINDINGS: Age, length of surgery, weight, BMI, perioperative fluid intake and output, and use of positive-end expiratory pressure did not impact PACU length of stay. The average PACU length of stay decreased from 76.76 to 71.82 minutes postimplementation but was not statistically significant (P = .470). The incidence of respiratory events was 6% (n = 3). After the implementation of the continuous capnography protocol, adherence to the continuous capnography monitoring was 86% (n = 43). CONCLUSIONS: Patients who are at high risk for postoperative respiratory failure may benefit from continuous capnography monitoring in the PACU. Capnography monitoring may decrease PACU length of stay and provide earlier detection of pending respiratory depression or failure than pulse oximetry alone.

Utility of Recovery Room vs Post-Operative Day 1 Radiographs Following Shoulder Arthroplasty.

Background: Postoperative radiographs may be performed on different timelines after shoulder arthroplasty. Radiographs obtained in the post-operative recovery unit (PACU) are often of poorer quality. The purpose of the current study was to explore and compare the quality of PACU radiographs and radiographs performed in the radiology suite on post-operative Day 1 (POD1), as well as determine their impact on changes in post-operative management. Methods: Our series included 50 consecutive anatomic total shoulder arthroplasties (TSA) for which post-operative radiographs were obtained in the PACU and 50 consecutive TSA for which post-operative radiographs were obtained in the radiology suite on POD 1. TSA radiographs were blinded and reviewed by 3 authors and graded on their quality using criteria described using previously published methods. The weighted kappa was used to describe the intra-rater agreement and inter-rater agreement between two raters. Results: There was no difference in age, sex, BMI, and comorbidities between cohorts. Intra-observer reliability was moderate to substantial with weighted kappa values of 0.65±0.07 (p<0.001), 0.58±0.09 (p<0.001), and 0.67±0.07 (p<0.001). Inter-observer reliability was moderate to substantial with weighted kappa values of 0.605±0.07 (p<0.001), 0.66±0.07 (p<0.001), and 0.65±0.08 (p<0.001). When assessing quality of radiographs, 30% of radiographs obtained in PACU were deemed quality while 57% of radiographs obtained in the radiology suite were deemed quality (p<0.001). Conclusion: Post-operative radiographs in the PACU do not alter patient management and are often inadequate to serve as baseline radiographs. Conversely, radiographs obtained in the radiology suite are of higher quality and can serve as a superior baseline radiograph. Level of Evidence: IV.

A Mobile Post Anesthesia Care Unit Order Reminder System Improves Timely Order Entry.

Transition to the postanesthesia care unit (PACU) requires timely order placement by anesthesia providers. Computerized ordering enables automated order reminder systems, but their value is not fully understood. We performed a single-center, retrospective cohort study to estimate the association between automated PACU order reminders and primary outcomes (1) on-time order placement and (2) the degree of delay in placement. As a secondary post-hoc analysis, we studied the association between late order placement and PACU outcomes. We included patients with a qualifying postprocedure order from January 1, 2019, to May 31, 2023. We excluded cases transferred directly to the ICU, whose anesthesia provider was involved in the pilot testing of the reminder system, or those with missing covariate data. Order reminder system usage was defined by the primary attending anesthesiologist's receipt of a push notification reminder on the day of surgery. We estimated the association between reminder system usage and timely order placement using a logistic regression. For patients with late orders, we performed a survival analysis of order placement. The significance level was 0.05. Patient (e.g., age, race), procedural (e.g., anesthesia duration), and provider-based (e.g., ordering privileges) variables were used as covariates within the analyses. Reminders were associated with 51% increased odds of order placement prior to PACU admission (Odds Ratio: 1.51; 95% Confidence Interval: 1.43, 1.58; p ≤ 0.001), reducing the incidence of late PACU orders from 17.5% to 12.6% (p ≤ 0.001). In patients with late orders, the reminders were associated with 10% quicker placement (Hazard Ratio: 1.10; 95% CI 1.05, 1.15; p < 0.001). On-time order placement was associated with decreased PACU duration (p < 0.001), decreased odds of peak PACU pain score (p < 0.001), and decreased odds of multiple administration of antiemetics (p = 0.02). An order reminder system was associated with an increase in order placement prior to PACU arrival and a reduction in delay in order placement after arrival.

Where the Postanesthesia Care Unit and Intensive Care Unit Meet.

The intensive care unit (ICU) was born from the postanesthesia care unit (PACU). In today's hospital systems, there remains a lot of overlap in the care missions of each location. The patient populations share many similarities and many of the same care, technology, and care protocols apply to patients in both units. As shown by the COVID-19 pandemic, there is immense value in maintaining protocols, processes, and staffing models for the safe care of ICU patients in the PACU when ICU demands exceed capacity.

Metabolomic profiling of pediatric post-tonsillectomy pain: A proof-of-concept study.

INTRODUCTION: Tonsillectomies are among the most common surgical procedures in children, with over 500 000 cases annually in the United States. Despite universal administration of intraoperative opioid analgesia, three out of five children undergoing tonsillectomy report moderate-to-severe pain upon recovering from anesthesia. The underlying molecular mechanisms of post-tonsillectomy pain are not well understood, limiting the development of targeted treatment strategies. Our study aimed to identify candidate serum metabolites associated with varying severity of post-tonsillectomy pain. METHODS: Venous blood samples and pain scores were obtained from 34 children undergoing tonsillectomy ± adenoidectomy, and metabolomic analysis was performed. Supervised orthogonal projections to latent structures discriminant analysis were employed to identify differentially expressed metabolites between children with severe and mild pain, as well as between moderate and mild pain. RESULTS: Pain scores differentiated children as mild (n = 6), moderate (n = 14), or severe (n = 14). Four metabolites (fatty acid 18:0(OH), thyroxine, phosphatidylcholine 38:5, and branched fatty acids C27H54O3) were identified as candidate biomarkers that differentiated severe vs. mild post-tonsillectomy pain, the combination of which yielded an AUC of 0.91. Similarly, four metabolites (sebacic acid, dicarboxylic acids C18H34O4, hydroxy fatty acids C18H34O3, and myristoleic acid) were identified as candidate biomarkers that differentiated moderate vs. mild post-tonsillectomy pain, with AUC values ranging from 0.85 to 0.95. CONCLUSION: This study identified novel candidate biomarker panels that effectively differentiated varying severity of post-tonsillectomy pain. Further research is needed to validate these data and to explore their clinical implications for personalized pain management in children undergoing painful surgeries.

Performance of a Machine Learning Algorithm to Predict Hypotension in Spontaneously Breathing Non-Ventilated Post-Anesthesia and ICU Patients.

Background: Hypotension is common in the post-anesthesia care unit (PACU) and intensive care unit (ICU), and is associated with adverse patient outcomes. The Hypotension Prediction Index (HPI) algorithm has been shown to accurately predict hypotension in mechanically ventilated patients in the OR and ICU and to reduce intraoperative hypotension (IOH). Since positive pressure ventilation significantly affects patient hemodynamics, we performed this validation study to examine the performance of the HPI algorithm in a non-ventilated PACU and ICU population. Materials & Methods: The performance of the HPI algorithm was assessed using prospectively collected blood pressure (BP) and HPI data from a PACU and a mixed ICU population. Recordings with sufficient time (≥3 h) spent without mechanical ventilation were selected using data from the electronic medical record. All HPI values were evaluated for sensitivity, specificity, predictive value, and time-to-event, and a receiver operating characteristic (ROC) curve was constructed. Results: BP and HPI data from 282 patients were eligible for analysis, of which 242 (86%) were ICU patients. The mean age (standard deviation) was 63 (13.5) years, and 186 (66%) of the patients were male. Overall, the HPI predicted hypotension accurately, with an area under the ROC curve of 0.94. The most used HPI threshold cutoff in research and clinical use, 85, showed a sensitivity of 1.00, specificity of 0.79, median time-to-event of 160 s [60-380], PPV of 0.85, and NPV of 1.00. Conclusion: The absence of positive pressure ventilation and the influence thereof on patient hemodynamics does not negatively affect the performance of the HPI algorithm in predicting hypotension in the PACU and ICU. Future research should evaluate the feasibility and influence on hypotension and outcomes following HPI implementation in non-ventilated patients at risk of hypotension.

Older Age, Male Sex, and Early Start Time Lengthen the Recovery Room Stay Following Total Joint Arthroplasty in an Ambulatory Surgical Center.

Background: Total joint arthroplasty (TJA) performed in the ambulatory surgical center (ASC) has been shown to be safe and cost-effective for an expanding cohort of patients. As criteria for TJA in the ASC become less restrictive, data guiding the efficient use of ASC resources are crucial. Purpose: We sought to identify factors associated with length of stay in the recovery room after primary total hip arthroplasty (THA) and total knee arthroplasty (TKA) performed in the ASC. Methods: We conducted a retrospective review of 411 patients who underwent primary THA or TKA at our institution's ASC between November 2020 and March 2022. We collected patient demographics, perioperative factors, success of same-day discharge (SDD), and length of time in the recovery room. Results: Of 411 patients, 100% had successful SDD. The average length of time spent in recovery was 207 minutes (SD: 73.9 minutes). Predictors of longer time in recovery were increased age, male sex, and operative start time before 9:59 am. Body mass index, preoperative opioid use, Charlson Comorbidity Index, type of surgery (THA vs TKA), urinary retention risk, and type of anesthesia (spinal vs general) were not significant predictors of length of time in the recovery room. Conclusion: In this retrospective study, factors associated with increased length of time in the recovery room included older age, male sex, and operative start time before 9:59 am. Such factors may guide surgeons in determining the optimal order of cases for each day at the ASC, but further prospective studies should seek to confirm these observations.

Improving Postanesthesia Care Unit (PACU) Delays: A Quality Improvement Project.

PURPOSE: Delays within the postanesthesia care unit (PACU) are a major cause of complications and inefficiency. In this project, we investigated the factors associated with delays in the PACU and implemented policies to mitigate these factors. DESIGN: A quality improvement project. METHODS: Data were collected for 10 months and included 1,134 surgical patients in a tertiary Obstetrics and Gynecology hospital in Kuwait. Several meetings were held with stakeholders to identify and overcome the reasons contributing to delays within the PACU. FINDINGS: Among the top reasons for PACU delay were manpower shortage and lack of bed availability in the surgical wards due to improper admission and discharge policies. Policies were implemented to improve admission policy, hasten patient discharge, and improve patient flow through the operating theater (OT). These policies lead to a significant reduction (25 minutes) in the average time patients spend in the OT, mainly by reducing the stay in the PACU by 19 minutes. CONCLUSIONS: PACU delays were mostly due to reasons outside the OT. Further, follow-up is needed to assess the sustainability of these improvements and identify any new challenges that may arise.

Description of Intensive Care and Intermediate Care resources managed by Anaesthesiology Departments in Spain and their adaptation capacity during the COVID-19 pandemic.

INTRODUCTION: It is essential to understand the strategic importance of intensive care resources in the sustainable organisation of healthcare systems. Our objective has been to identify the intensive and intermediate care beds managed by Anaesthesiology and Resuscitation Services (A-ICU and A-IMCU) in Spain, their human and technical resources, and the changes made to these resources during the COVID-19 pandemic. MATERIAL AND METHODS: Prospective observational study performed between December 2020 and July 2021 to register the number and characteristics of A-ICU and A-IMCU beds in hospitals listed in the catalogue published by the Spanish Ministry of Health. RESULTS: Data were obtained from 313 hospitals (98% of all hospitals with more than 500 beds, 70% of all hospitals with more than 100 beds). One hundred and forty seven of these hospitals had an A-ICU with a total of 1702 beds. This capacity increased to 2107 (124%) during the COVID-19 pandemic. Three hundred and eight hospitals had an A-IMCU with a total of 3470 beds, 52.9% (2089) of which provided long-term care. The hospitals had 1900 ventilators, at a ratio of 1.07 respirators per A-ICU; 1559 anaesthesiologists dedicated more than 40% of their working time to intensive care. The nurse-to-bed ratio in A-ICUs was 2.8. DISCUSSION: A large proportion of fully-equipped ICU and IMCU beds in Spanish hospitals are managed by the anaesthesiology service. A-ICU and A-IMCUs have shown an extraordinary capacity to adapt their resources to meet the increased demand for intensive care during the COVID-19 pandemic.

Stir-up Regimen After General Anesthesia in the Postanesthesia Care Unit: A Nurse Led Stepped Wedge Cluster Randomized Control Trial.

PURPOSE: To implement a standardized Stir-up Regimen (deep breathing, coughing, repositioning, mobilization [moving arms/legs], assessing and managing pain and nausea) within the first 30 minutes of arrival in the postanesthesia care unit (PACU), with a goal of decreasing recovery time in the immediate postanesthesia period (Phase I). DESIGN: A pragmatic stepped wedge cluster randomized control trial. Initially, data were collected on time in Phase I in three PACUs (control). Subsequently, the same three units were randomized to sequentially transition to the Stir-up Regimen (intervention). METHODS: A stepped wedge cluster randomized control trial design was used to implement a standardized Stir-up Regimen in three PACUs in an academic hospital for adult patients who received at least 30 minutes of general anesthesia. The measured outcome was the PACU time in minutes from patient arrival to when the patient met Phase I discharge criteria. Differences between intervention and control groups were evaluated using a generalized mixed-effects model. Nurses were educated about the Stir-up Regimen in team huddles, in-services, video demonstrations, email notifications and reminders, and immediate feedback at the bedside. Implementation science principles were used to assess the adoption of the Stir-up Regimen through a presurvey, postsurvey and spot-check observations in all three PACUs. FINDINGS: A total of 5,809 PACU adult patient admissions were included: control group (n = 2,860); intervention group (n = 2,949); males (n = 2,602), and females (n = 3,206). The intervention was associated with a reduction in overall mean Phase I recovery time of 4.9 minutes (95% CI: -8.4 to -1.4, P = .007). One PACU decreased time by 9.6 minutes (95% CI: -15.3 to -4.0, P < .001). The other units also reduced Phase I recovery time, but this did not reach statistical significance. The spot-check observations confirmed the intervention was adopted by the nurses, as most interventions were nurse-initiated versus patient-initiated during the first 30 minutes in PACU. CONCLUSIONS: Standardization of a Stir-up Regimen within 30 minutes of patient PACU arrival resulted in decreased Phase I recovery time.

Growing Novice Nurses to Perianesthesia Care: Formation of a Post-Anesthesia Care Unit (PACU) Fellowship.

PURPOSE: To provide a proof of concept of a structured, replicable perianesthesia fellowship program for nurses with less than 2 years of experience and new graduate nurses. DESIGN: An immersive learning experience was implemented as a pilot quality improvement project using the Plan-Do-Study-Act method. METHODS: This 24-week fellowship program used blended learning approaches and the Tiered Skill Acquisition Model (TSAM) to develop foundational Post Anesthesia Care Unit (PACU) skills. Nurse Fellows (4) acquired knowledge in stages, with each week in the program reinforcing and building upon the prior week's learnings. Settings included an initial 10 weeks in the ambulatory PACU, then the acute care PACU (weeks 11-20), and the final 4 weeks were spent in the primary unit where the Fellow would transition into a PACU Staff RN. Through each phase, the Professional Practice Department's Clinical Mentor Nurse promoted preceptor development, facilitated learning experiences and provided bimonthly evaluations of the Nurse Fellow's progress via our institution's clinical rounding tool. We used the Nursing Anxiety and Self-Confidence Associated with Clinical Decision Making (NASC-CDM) scale to assess novice nurses' anxiety and self-confidence associated with making clinical decisions at designated intervals. FINDINGS: All Nurse Fellows completed the program and remained in PACU positions 2 years post-fellowship. They reported discomfort and increased stress transitioning to different PACUs; however, they later indicated reduced anxiety and greater confidence in clinical decision-making, as noted in subsequent evaluations of the NASC-CDM scale. CONCLUSIONS: Perianesthesia fellowship programs incorporating blended learning, skill reinforcement, and formal mentoring on a primary PACU unit build confidence and competence in the novice nurse, making this once-excluded population of nurses a viable option for recruitment directly into the PACU environment.

The research hotspots and trends in postanesthesia care unit:Bibliometric analysis from 2003 to 2023 / 中国现代医生

@#Objective To quantify the basic information of publications on postanesthesia care unit(PACU)and identify the most influential research,trends,and hotspots in the field of PACU.Methods The Web of Science Core Collection database was searched for research papers on PACU from 2003 to 2023.Basic metrology information,such as publication year,country,author,source title,academic organizations,subjects,and hot spots,were collected and analyzed.Results A total of 1541 articles on PACU from 2003 to 2023 were involved in the results analysis.The highest number of articles(n=814)were published in the United States,following by China(n=146)and Canada(n=97).Dexter Franklin,the most productive author,published 30 papers on PACU research.Harvard University was the most influential academic institution,publishing 52 papers with a total of 1338 citations,averaging 25.73 citations per article,and an H-index of 20.The journal Anesthesia and Analgesia has the largest papers with 232 publications.The hotspots in the field of PACU include"postoperative pain","general anesthesia","recovery","risk factors"and"postoperative nausea".Results showed that"enhanced postoperative recovery"and"pain management"are the burst keywords in the past two decades.Conclusion Based on the bibliometric research method,this study provides a comprehensive analysis and summary of the development of the PACU research field.In the future,"enhanced postoperative recovery"and"pain management"may be hot research trends in this field.

Discharge From the Postanesthesia Care Unit With Motor Blockade After Spinal Anesthesia Safely Optimizes Fast Track Recovery in Primary Total Hip and Knee Arthroplasty.

BACKGROUND: Post anesthesia care units (PACU) await return of motor function in lower extremities, prior to discharge for patients undergoing spinal anesthesia. The purpose of this study was to assess the impact of a newly utilized recovery protocol that facilitated early discharges of patients undergoing total hip and knee arthroplasties (THA/TKA) to the floor before full motor recovery from spinal anesthesia is achieved. METHODS: A total of 647 patients undergoing spinal anesthesia for primary THA (n = 190) and TKA (n = 457) were divided into 2 groups: (1) Early PACU discharge group: patients with partial or full motor blockade at discharge. (2) Control PACU discharge group: patients with full motor recovery at discharge. Readiness for discharge was assessed using a modified Aldrete Score system. The primary outcome was incidences of hypotension or rapid responses post-operatively. RESULTS: There was no significant difference in the incidence of hypotension between the two groups (1.4 versus 1.39%, P = 1.0) and zero rapid responses were noted. Early discharge shortened mean PACU LOS time from 86.50 minutes to 70.27 minutes (P < .01). There was no difference in the incidence of nausea (0.55 versus 0%; P = .51) ordizziness (2.22 versus 0.35%; P = .09). CONCLUSION: In this retrospective observational study, we found that early PACU discharge did not result in an increase in hemodynamic consequences on the surgical floor. Thus, discharge from PACU can be safely and more expeditiously performed without waiting for return of motor function in patients receiving spinal anesthesia for THA/TKA using a modified Aldrete Score recovery protocol.