Anesthesia and analgesia最新文献

Background: Black race is associated with postoperative adverse discharge to a nursing facility, but the effects of Hispanic/Latino ethnicity are unclear. We explored the Hispanic paradox , described as improved health outcomes among Hispanic/Latino patients on postoperative adverse discharge to nursing facility.

Methods: A total of 93,356 adults who underwent surgery and were admitted from home to Montefiore Medical Center in the Bronx, New York, between January 2016 and June 2021 were included. The association between self-identified Hispanic/Latino ethnicity and the primary outcome, postoperative adverse discharge to a nursing home or skilled nursing facility, was investigated. Interaction analysis was used to examine the impact of socioeconomic status, determined by estimated median household income and insurance status, on the primary association. Mixed-effects models were used to evaluate the proportion of variance attributed to the patient's residential area defined by zip code and self-identified ethnicity.

Results: Approximately 45.9% (42,832) of patients identified as Hispanic/Latino ethnicity and 9.7% (9074) patients experienced postoperative adverse discharge. Hispanic/Latino ethnicity was associated with lower risk of adverse discharge (relative risk [RR adj ] 0.88; 95% confidence interval [CI], 00.82-0.94; P < .001), indicating a Hispanic Paradox . This effect was modified by the patient's socioeconomic status ( P -for-interaction <.001). Among patients with a high socioeconomic status, the Hispanic paradox was abolished (RR adj 1.10; 95% CI, 11.00-1.20; P = .035). Furthermore, within patients of low socioeconomic status, Hispanic/Latino ethnicity was associated with a higher likelihood of postoperative discharge home with health services compared to non-Hispanic/Latino patients (RR adj 1.06; 95% CI, 11.01-1.12; P = .017).

Conclusions: Hispanic/Latino ethnicity is a protective factor for postoperative adverse discharge, but this association is modified by socioeconomic status. Future studies should focus on postoperative discharge disposition and socioeconomic barriers in patients with Hispanic/Latino ethnicity.

Commonly reported end points for operating room (OR) and surgical scheduling performance are the percentages of estimated OR times whose absolute values differ from the actual OR times by ≥15%, or by various intervals from ≥5 to ≥60 minutes. We show that these metrics are invalid assessments of OR performance. Specifically, from 19 relevant articles, multiple OR management decisions that would increase OR efficiency or productivity would also increase the absolute percentage error of the estimated case durations. Instead, OR managers should check the mean bias of estimated OR times (ie, systematic underestimation or overestimation), a valid and reliable metric.

The landscape of ambulatory surgery is changing, and tonsillectomy with or without adenoidectomy is one of the most common pediatric surgical procedures performed nationally. The number of children undergoing tonsillectomy on an ambulatory basis continues to increase. The 2 most common indications for tonsillectomy are recurrent throat infections and obstructive sleep-disordered breathing. The most frequent early complications after tonsillectomy are hemorrhage and ventilatory compromise. In areas lacking a dedicated children's hospital, these cases are managed by a nonpediatric specialized anesthesiologist and general otolaryngology surgeon. In response to requests from our members without pediatric fellowship training and/or who care for pediatric patients infrequently, the Pediatric Committee of the Society for Ambulatory Anesthesia (SAMBA) developed a position statement with recommendations for the safe perioperative care of pediatric patients undergoing tonsillectomy with and without adenoidectomy in freestanding ambulatory surgical facilities. This statement identifies children that are more likely to experience complications and to require additional dedicated provider time that is not conducive to the rapid pace and staffing ratios of many freestanding ambulatory centers with mixed adult and pediatric practices. The aim is to provide health care professionals with practical criteria and suggestions based on the best available evidence. When high-quality evidence is unavailable, we relied on group consensus from pediatric ambulatory specialists in the SAMBA Pediatric Committee. Consensus recommendations were presented to the Pediatric Committee of SAMBA.

Background: Clinical prediction modeling plays a pivotal part in modern clinical care, particularly in predicting the risk of in-hospital mortality. Recent modeling efforts have focused on leveraging intraoperative data sources to improve model performance. However, the individual and collective benefit of pre- and intraoperative data for clinical decision-making remains unknown. We hypothesized that pre- and intraoperative predictors contribute equally to the net benefit in a decision curve analysis (DCA) of in-hospital mortality prediction models that include pre- and intraoperative predictors.

Methods: Data from the VitalDB database featuring a subcohort of 6043 patients were used. A total of 141 predictors for in-hospital mortality were grouped into preoperative (demographics, intervention characteristics, and laboratory measurements) and intraoperative (laboratory and monitor data, drugs, and fluids) data. Prediction models using either preoperative, intraoperative, or all data were developed with multiple methods (logistic regression, neural network, random forest, gradient boosting machine, and a stacked learner). Predictive performance was evaluated by the area under the receiver-operating characteristic curve (AUROC) and under the precision-recall curve (AUPRC). Clinical utility was examined with a DCA in the predefined risk preference range (denoted by so-called treatment threshold probabilities) between 0% and 20%.

Results: AUROC performance of the prediction models ranged from 0.53 to 0.78. AUPRC values ranged from 0.02 to 0.25 (compared to the incidence of 0.09 in our dataset) and high AUPRC values resulted from prediction models based on preoperative laboratory values. A DCA of pre- and intraoperative prediction models highlighted that preoperative data provide the largest overall benefit for decision-making, whereas intraoperative values provide only limited benefit for decision-making compared to preoperative data. While preoperative demographics, comorbidities, and surgery-related data provide the largest benefit for low treatment thresholds up to 5% to 10%, preoperative laboratory measurements become the dominant source for decision support for higher thresholds.

Conclusions: When it comes to predicting in-hospital mortality and subsequent decision-making, preoperative demographics, comorbidities, and surgery-related data provide the largest benefit for clinicians with risk-averse preferences, whereas preoperative laboratory values provide the largest benefit for decision-makers with more moderate risk preferences. Our decision-analytic investigation of different predictor categories moves beyond the question of whether certain predictors provide a benefit in traditional performance metrics (eg, AUROC). It offers a nuanced perspective on for whom these predictors might be beneficial in clinical decision-making. Follow-up studies requiring la

Background: The optimal pharmacological reversal strategy for neuromuscular blockade remains undefined even in the setting of strong recommendations for quantitative neuromuscular monitoring by several national and international anesthesiology societies. We evaluated a protocol for managing rocuronium blockade and reversal, using quantitative monitoring to guide choice of reversal agent and to confirm full reversal before extubation.

Methods: We conducted a prospective cohort study and enrolled 200 patients scheduled for elective surgery involving the intraoperative use of rocuronium. Providers were asked to adhere to a protocol that was similar to local practice recommendations for neuromusculalr block reversal that had been used for >2 years; the protocol added quantitative monitoring that had not previously been routinely used at our institution. In this study, providers used electromyography-based quantitative monitoring. Pharmacological reversal was accomplished with neostigmine if the train-of-four (TOF) ratio was 0.40 to 0.89 and with sugammadex for deeper levels of blockade. The primary end point was the incidence of postoperative residual neuromuscular blockade (PRNB), defined as TOF ratio <0.9 at time of extubation. We further evaluated the difference in pharmacy costs had all patients been treated with sugammadex.

Results: A total of 189 patients completed the study: 66 patients (35%) were reversed with neostigmine, 90 patients (48%) with sugammadex, and 33 (17%) patients recovered spontaneously without pharmacological reversal. The overall incidence of residual paralysis was 0% (95% CI, 0-1.9). The total acquisition cost for all reversal drugs was United States dollar (USD) 11,358 (USD 60 per patient) while the cost would have been USD 19,312 (USD 103 per patient, 70% higher) if sugammadex had been used in all patients.

Conclusions: A protocol that includes quantitative monitoring to guide reversal with neostigmine or sugammadex and to confirm TOF ratio ≥0.9 before extubation resulted in the complete prevention of PRNB. With current pricing of drugs, the selective use of sugammadex reduced the total cost of reversal drugs compared to the projected cost associated with routine use of sugammadex for all patients.

Background: Dexamethasone is associated with increased blood glucose levels that could impact patient outcomes or management. This study aimed to synthesize the available evidence regarding the impact of an intraoperative single dose of dexamethasone on blood glucose levels.

Methods: We searched CENTRAL, MEDLINE, and clinicaltrials.gov for randomized controlled trials (RCTs) comparing a single intraoperative dose of dexamethasone to control in adult patients who underwent noncardiac surgery. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the review was registered in PROSPERO (CRD42023420562). Data were pooled using a random-effects model. We reported pooled dichotomous data using odds ratios (OR) and continuous data using the mean difference (MD), reporting 95% confidence intervals (95% CIs), and corresponding P-values for both. Confidence in the evidence was appraised using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach. As primary outcomes we assessed maximum blood glucose levels measurement and variation from baseline within 24 hours of surgery; blood glucose levels measurement and variation from baseline at 2, 4, 8, 12, and 24 hours after dexamethasone administration. As secondary outcomes, we evaluated insulin requirements and hyperglycemic events.

Results: We included 23 RCTs, enrolling 11,154 participants overall. Dexamethasone was associated with a significant increment in blood glucose levels compared to control at all timepoints. The results showed an increase compared to control of 0.37 mmol L-1 (6.7 mg dL-1) at 2 hours (95% CI, 0.16-0.58 mmol L-1 or 2.9-10.5 mg dL-1), 0.97 mmol L-1 (17.5 mg dL-1) at 4 hours (95% CI, 0.67-1.25 mmol L-1 or 12.1-22.5 mg dL-1), 0.96 mmol L-1 (17.3 mg dL-1) at 8 hours (95% CI, 0.55-1.36 mmol L-1 or 9.9-24.5 mg dL-1), 0.90 mmol L-1 (16.2 mg dL-1) at 12 hours (95% CI, 0.62-1.19 mmol L-1 or 11.2-21.4 mg dL-1) and 0.59 mmol L-1 (10.6 mg dL-1) at 24 hours (95% CI, 0.22-0.96 mmol L-1 or 4.0-17.3 mg dL-1). No difference was found between subgroups regarding diabetic status (patients with diabetes versus patients without diabetes) in all the outcomes except 2 (maximum blood glucose levels variation within 24 hours and variation at 4 hours) and dexamethasone dose (4-5 mg vs 8-10 mg) in all the outcomes except 2 (blood glucose levels at 24 hours and hyperglycemic events).

Conclusions: Mean blood glucose levels rise between 0.37 and 1.63 mmol L-1 (6.7 and 29.4 mg dL-1) within 24 hours after a single dose of dexamethasone administered at induction of anesthesia compared to control, but in most patients this difference will not be clinically relevant.

Background: Approximately 2% of ambulatory pediatric surgeries require unanticipated postoperative admission, causing parental dissatisfaction and suboptimal use of hospital resources. Obstructive sleep apnea (OSA) occurs in nearly 8% of children and is known to increase the risk of perioperative adverse events in children undergoing otolaryngologic procedures (eg, tonsillectomy). However, whether OSA is also a risk for unanticipated admission after nonotolaryngologic surgery is unknown. The objectives of this study were to determine the association of OSA with unanticipated admission after pediatric nonotolaryngologic ambulatory surgery and to explore trends in the prevalence of OSA in children undergoing nonotolaryngologic ambulatory surgery.

Methods: We used the Pediatric Health Information System (PHIS) Database to evaluate a retrospective cohort of children (<18 years) undergoing nonotolaryngologic surgery scheduled as ambulatory or observation status from January 1, 2010, to August 31, 2022. We used International Classification of Diseases codes to identify patients with OSA. The primary outcome was unanticipated postoperative admission lasting ≥1 day. Using logistic regression models, we estimated the odds ratio (OR) and 95% confidence intervals (CIs) for unanticipated admission comparing patients with and without OSA. We then estimated trends in the prevalence of OSA during the study period using the Cochran-Armitage test.

Results: A total of 855,832 children <18 years underwent nonotolaryngologic surgery as ambulatory or observation status during the study period. Of these, 39,427 (4.6%) required unanticipated admission for ≥1 day, and OSA was present in 6359 (0.7%) of these patients. Among children with OSA, 9.4% required unanticipated admission, compared to 5.0% among those without. The odds of children with OSA requiring unanticipated admission were more than twice that in children without OSA (adjusted OR, 2.27; 95% CI, 1.89-2.71; P < .001). The prevalence of OSA among children undergoing nonotolaryngologic surgery as ambulatory or observation status increased from 0.4% to 1.7% between 2010 and 2022 ( P trends < .001).

Conclusions: Children with OSA were significantly more likely to require unanticipated admission after a nonotolaryngologic surgery scheduled as ambulatory or observation status than those without OSA. These findings can inform patient selection for ambulatory surgery with the goal of decreasing unanticipated admissions, increasing patient safety and satisfaction, and optimizing health care resources related to unanticipated admission.