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Pediatric burns affect approximately 15-20 patients per 100 000 hospital admissions, but unfortunately there is a lack of evidence to guide optimal strategies for acute pain control. The aim of this study was to evaluate whether caudal analgesia with single injection of local anesthetics reduced pain medication consumption in pediatric patients who required surgical intervention for burn injuries. Retrospective data from patients

Background Postamputation phantom pain is notoriously persistent with few validated treatments. Cryoneurolysis involves the application of low temperatures to reversibly ablate peripheral nerves. The authors tested the hypothesis that a single cryoneurolysis treatment would decrease phantom pain 4 months later. Methods The authors enrolled patients with a lower-limb amputation and established phantom pain. Each received a single-injection femoral and sciatic nerve block with lidocaine and was subsequently randomized to receive either ultrasound-guided percutaneous cryoneurolysis or sham treatment at these same locations. The primary outcome was the change in average phantom pain intensity between baseline and 4 months as measured with a numeric rating scale (0 to 10), after which an optional crossover treatment was offered. Investigators, participants, and clinical staff were masked to treatment group assignment with the exception of the treating physician performing the cryoneurolysis, who had no subsequent participant interaction. Results Pretreatment phantom pain scores were similar in both groups, with a median [quartiles] of 5.0 [4.0, 6.0] for active treatment and 5.0 [4.0, 7.0] for sham. After 4 months, pain intensity decreased by 0.5 [–0.5, 3.0] in patients given cryoneurolysis (n = 71) versus 0 [0, 3] in patients given sham (n = 73), with an estimated difference (95% CI) of –0.1 (–1.0 to 0.7), P = 0.759. Following their statistical gatekeeping protocol, the authors did not make inferences or draw conclusions on secondary endpoints. One serious adverse event occurred after a protocol deviation in which a femoral nerve cryolesion was induced just below the inguinal ligament—instead of the sensory-only saphenous nerve—which resulted in quadriceps weakness, and possibly a fall and clavicle fracture. Conclusions Percutaneous cryoneurolysis did not decrease chronic lower extremity phantom limb pain 4 months after treatment. However, these results were based upon the authors’ specific study protocol, and since the optimal cryoneurolysis treatment parameters such as freeze duration and anatomic treatment location remain unknown, further research is warranted. Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New

The use of regional anesthesia is key to a successful approach to improving postoperative analgesia, which involves local anesthetic deposition either around peripheral nerves or within a fascial plane. Unfortunately, the realistic duration even with continuous peripheral nerve blocks usually does not match the duration of surgical pain, comprising a major limitation. Here, the use of 2 interventional modalities-ultrasound-guided percutaneous cryoneurolysis and peripheral nerve stimulation-is discussed, both of which may be used to treat acute and subacute pain and may therefore have a positive impact on the incidence and severity of chronic pain development.

Background Ultrasound-guided percutaneous cryoneurolysis is an analgesic technique in which a percutaneous probe is used to reversibly ablate a peripheral nerve(s) using exceptionally low temperature, and has yet to be evaluated with randomized, controlled trials. Pain after mastectomy can be difficult to treat, and the authors hypothesized that the severity of surgically related pain would be lower on postoperative day 2 with the addition of cryoanalgesia compared with patients receiving solely standard-of-care treatment. Methods Preoperatively, participants at one enrolling center received a single injection of ropivacaine, 0.5%, paravertebral nerve block at T3 or T4, and perineural catheter. Participants subsequently underwent an active or sham ultrasound–guided percutaneous cryoneurolysis procedure of the ipsilateral T2 to T5 intercostal nerves in a randomized, patient- and observer-masked fashion. Participants all received a continuous paravertebral block with ropivacaine, 0.2%, until the early morning of discharge (usually postoperative day 2). The primary endpoint was the average pain level measured using a 0 to 10 numeric rating scale the afternoon of postoperative day 2. Participants were followed for 1 yr. Results On postoperative day 2, participants who had received active cryoneurolysis (n = 31) had a median [interquartile range] pain score of 0 [0 to 1.4] versus 3.0 [2.0 to 5.0] in patients given sham (n = 29): difference –2.5 (97.5% CI, –3.5 to –1.5), P < 0.001. There was evidence of superior analgesia through month 12. During the first 3 weeks, cryoneurolysis lowered cumulative opioid use by 98%, with the active group using 1.5 [0 to 14] mg of oxycodone compared with 72 [20 to 120] mg in the sham group (P < 0.001). No oral analgesics were required by any patient between months 1 and 12. After 1 yr chronic pain had developed in 1 (3%) active compared with 5 (17%) sham participants (P < 0.001). Conclusions Percutaneous cryoneurolysis markedly improved analgesia without systemic side effects or complications after mastectomy. Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New

Methods that can automate, support, and streamline the preanesthesia evaluation process may improve resource utilization and efficiency. Natural language processing (NLP) involves the extraction of relevant information from unstructured text data. We describe the utilization of a clinical NLP pipeline intended to identify elements relevant to preoperative medical history by analyzing clinical notes. We hypothesize that the NLP pipeline would identify a significant portion of pertinent history captured by a perioperative provider.For each patient, we collected all pertinent notes from the institution's electronic medical record that were available no later than 1 day before their preoperative anesthesia clinic appointment. Pertinent notes included free-text notes consisting of history and physical, consultation, outpatient, inpatient progress, and previous preanesthetic evaluation notes. The free-text notes were processed by a Named Entity Recognition pipeline, an NLP machine learning model trained to recognize and label spans of text that corresponded to medical concepts. These medical concepts were then mapped to a list of medical conditions that were of interest for a preanesthesia evaluation. For each condition, we calculated the percentage of time across all patients in which (1) the NLP pipeline and the anesthesiologist both captured the condition; (2) the NLP pipeline captured the condition but the anesthesiologist did not; and (3) the NLP pipeline did not capture the condition but the anesthesiologist did.A total of 93 patients were included in the NLP pipeline input. Free-text notes were extracted from the electronic medical record of these patients for a total of 9765 notes. The NLP pipeline and anesthesiologist agreed in 81.24% of instances on the presence or absence of a specific condition. The NLP pipeline identified information that was not noted by the anesthesiologist in 16.57% of instances and did not identify a condition that was noted by the anesthesiologist's review in 2.19% of instances.In this proof-of-concept study, we demonstrated that utilization of NLP produced an output that identified medical conditions relevant to preanesthetic evaluation from unstructured free-text input. Automation of risk stratification tools may provide clinical decision support or recommend additional preoperative testing or evaluation. Future studies are needed to integrate these tools into clinical workflows and validate its efficacy.

Purpose: A major source of inefficiency in the operating room is the mismatch between scheduled versus actual surgical time. The purpose of this study was to demonstrate a proof-of-concept study for predicting case duration by applying natural language processing (NLP) and machine learning that interpret radiology reports for patients undergoing radius fracture repair. Methods: Logistic regression, random forest, and artificial neural networks (ANN) were tested without NLP and with bag-of-words. Another NLP method tested used ANN and Bidirectional Encoder Representations from Transformers specifically pre-trained on clinical notes (ClinicalBERT). A total of 201 cases were included. The data were split into 70% training and 30% test sets. The average root mean squared error (RMSE) (and 95% confidence interval [CI]) from 10-fold cross-validation on the training set were used to develop each model. Models were then compared to a baseline model, which used historic averages to predict surgical time. Results: The average RMSE was lowest using ANN with ClinicalBERT (25.6 minutes, 95% CI: 21.5 - 29.7), which was significantly (PConclusion: This proof-of-concept study demonstrated the successful application of NLP and machine leaning to extract features from unstructured clinical data resulting in improved prediction accuracy for surgical case duration.

Prolonged recovery time in the postanesthesia care unit (PACU) increases cost and administrative burden of outpatient surgical staff. The primary aim of this study was to determine whether body mass index (BMI) is associated with prolonged recovery in the PACU after outpatient surgery in a freestanding ambulatory surgery center.We retrospectively studied 3 years of surgeries performed at a freestanding ambulatory surgery center. Mixed-effects logistic (for binary outcomes) and linear (for continuous outcomes) regressions were performed, in which the random effect was the surgical procedure. Prolonged PACU length of stay was modeled as a binary variable, that is, stay greater than the third quartile, and as a continuous variable, that is, actual duration of stay in minutes. We reported odds ratio and 95% confidence interval from the logistic regression and estimates with standard errors from the linear regression.Patients with obesity (BMI ≥ 30 kg/m 2 ) did not demonstrate increased odds for prolonged PACU length of stay (all P0.05). Furthermore, BMI-represented as a continuous variable-was not associated with actual PACU length of stay (estimate = 0.05, standard error = 0.06, P = 0.41). No association was found between obesity and PACU length of stay on a subgroup analysis where only patients with obstructive sleep apnea were analyzed.There was no association between BMI and PACU length of stay among patients who received outpatient surgery at a freestanding ambulatory surgery center.

Background The common technique using a basal infusion for an ambulatory continuous peripheral nerve blocks frequently results in exhaustion of the local anesthetic reservoir before resolution of surgical pain. This study was designed to improve and prolong analgesia by delaying initiation using an integrated timer and delivering a lower hourly volume of local anesthetic as automated boluses. The hypothesis was that compared with a traditional continuous infusion, ropivacaine administered with automated boluses at a lower dose and 5-h delay would (1) provide at least noninferior analgesia (difference in average pain no greater than 1.7 points) while both techniques were functioning (average pain score day after surgery) and (2) result in a longer duration (dual primary outcomes). Methods Participants (n = 70) undergoing foot or ankle surgery with a popliteal–sciatic catheter received an injection of ropivacaine 0.5% with epinephrine (20 ml) and then were randomized to receive ropivacaine (0.2%) either as continuous infusion (6 ml/h) initiated before discharge or as automated boluses (8 ml every 2 h) initiated 5 h after discharge using a timer. Both groups could self-deliver supplemental boluses (4 ml, lockout 30 min); participants and outcome assessors were blinded to randomization. All randomized participants were included in the data analysis. Results The day after surgery, participants with automated boluses had a median [interquartile range] pain score of 0.0 [0.0 to 3.0] versus 3.0 [1.8 to 4.8] for the continuous infusion group, with an odds ratio of 3.1 (95% CI, 1.23 to 7.84; P = 0.033) adjusting for body mass index. Reservoir exhaustion in the automated boluses group occurred after a median [interquartile range] of 119 h [109 to 125] versus 74 h [57 to 80] for the continuous infusion group (difference of 47 h; 95% CI, 38 to 55; P < 0.001 adjusting for body mass index). Conclusions For popliteal–sciatic catheters, replacing a continuous infusion initiated before discharge with automated boluses and a start-delay timer resulted in better analgesia and longer infusion duration. Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New

BackgroundThe objective of this study is to develop predictive models for persistent opioid use following lower extremity joint arthroplasty and determine if ensemble learning and an oversampling technique may improve model performance.MethodsWe compared various predictive models to identify at-risk patients for persistent postoperative opioid use using various preoperative, intraoperative, and postoperative data, including surgical procedure, patient demographics/characteristics, past surgical history, opioid use history, comorbidities, lifestyle habits, anesthesia details, and postoperative hospital course. Six classification models were evaluated: logistic regression, random forest classifier, simple-feedforward neural network, balanced random forest classifier, balanced bagging classifier, and support vector classifier. Performance with Synthetic Minority Oversampling Technique (SMOTE) was also evaluated. Repeated stratified k-fold cross-validation was implemented to calculate F1-scores and area under the receiver operating characteristics curve (AUC).ResultsThere were 1042 patients undergoing elective knee or hip arthroplasty in which 242 (23.2%) reported persistent opioid use. Without SMOTE, the logistic regression model has an F1 score of 0.47 and an AUC of 0.79. All ensemble methods performed better, with the balanced bagging classifier having an F1 score of 0.80 and an AUC of 0.94. SMOTE improved performance of all models based on F1 score. Specifically, performance of the balanced bagging classifier improved to an F1 score of 0.84 and an AUC of 0.96. The features with the highest importance in the balanced bagging model were postoperative day 1 opioid use, body mass index, age, preoperative opioid use, prescribed opioids at discharge, and hospital length of stay.ConclusionsEnsemble learning can dramatically improve predictive models for persistent opioid use. Accurate and early identification of high-risk patients can play a role in clinical decision making and early optimization with personalized interventions.

PURPOSE The post-anesthesia care unit (PACU) length of stay is an important perioperative efficiency metric. The aim of this study was to develop machine learning models to predict ambulatory surgery patients at risk for prolonged PACU length of stay - using only pre-operatively identified factors - and then to simulate the effectiveness in reducing the need for after-hours PACU staffing. METHODS Several machine learning classifier models were built to predict prolonged PACU length of stay (defined as PACU stay ≥ 3 hours) on a training set. A case resequencing exercise was then performed on the test set, in which historic cases were re-sequenced based on the predicted risk for prolonged PACU length of stay. The frequency of patients remaining in the PACU after-hours (≥ 7:00 pm) were compared between the simulated operating days versus actual operating room days. RESULTS There were 10,928 ambulatory surgical patients included in the analysis, of which 580 (5.31%) had a PACU length of stay ≥ 3 hours. XGBoost with SMOTE performed the best (AUC = 0.712). The case resequencing exercise utilizing the XGBoost model resulted in an over three-fold improvement in the number of days in which patients would be in the PACU past 7pm as compared with historic performance (41% versus 12%, PCONCLUSION Predictive models using preoperative patient characteristics may allow for optimized case sequencing, which may mitigate the effects of prolonged PACU lengths of stay on after-hours staffing utilization.

Background Estimating surgical case duration accurately is an important operating room efficiency metric. Current predictive techniques in spine surgery include less sophisticated approaches such as classical multivariable statistical models. Machine learning approaches have been used to predict outcomes such as length of stay and time returning to normal work, but have not been focused on case duration. Objective The primary objective of this 4-year, single-academic-center, retrospective study was to use an ensemble learning approach that may improve the accuracy of scheduled case duration for spine surgery. The primary outcome measure was case duration. Methods We compared machine learning models using surgical and patient features to our institutional method, which used historic averages and surgeon adjustments as needed. We implemented multivariable linear regression, random forest, bagging, and XGBoost (Extreme Gradient Boosting) and calculated the average R2, root-mean-square error (RMSE), explained variance, and mean absolute error (MAE) using k-fold cross-validation. We then used the SHAP (Shapley Additive Explanations) explainer model to determine feature importance. Results A total of 3189 patients who underwent spine surgery were included. The institution’s current method of predicting case times has a very poor coefficient of determination with actual times (R2=0.213). On k-fold cross-validation, the linear regression model had an explained variance score of 0.345, an R2 of 0.34, an RMSE of 162.84 minutes, and an MAE of 127.22 minutes. Among all models, the XGBoost regressor performed the best with an explained variance score of 0.778, an R2 of 0.770, an RMSE of 92.95 minutes, and an MAE of 44.31 minutes. Based on SHAP analysis of the XGBoost regression, body mass index, spinal fusions, surgical procedure, and number of spine levels involved were the features with the most impact on the model. Conclusions Using ensemble learning-based predictive models, specifically XGBoost regression, can improve the accuracy of the estimation of spine surgery times.

Spinal cord stimulator (SCS) placement has been gaining traction as an approach to modulate pain levels for several different chronic pain conditions. This procedure can be performed via a percutaneous or open approach. Data regarding SCS complications are relatively limited.The purpose of this study was to leverage a large national database to examine outcomes between the percutaneous and open SCS placement approaches. Outcomes in this study include length of stay (LOS), complication rates, reoperation rates, and 1-year readmission rates.Inclusion criteria for the current study is SCS placement between 2015 and 2020, with receipt of an SCS using either a percutaneous approach or an open laminectomy based approach. Encounters included were limited to true SCS placement, such that trial placements were not included in the study. Univariate statistics and multivariable logistic regression was performed to compare outcomes between cohorts.Total SCS case volumes were 9935 between the percutaneous (n = 4477, 45.1%) and open (n = 5458, 54.9%) approach. Patients receiving the percutaneous approach were found to have a mean decrease in LOS of 9.91 hours when compared to those receiving the open approach. The percutaneous approach was significantly associated with the need for reoperation within one year compared to the open approach (odds ratio [OR]: 0.663, p 0.001), as well as with the need for readmission within 30 days (51.2% vs 40.2%, OR: 0.759, p 0.001).The open approach, when compared to the percutaneous approach, had a longer mean LOS, lower outpatient discharge rates, and higher odds of experiencing an operative complication in comparison to the percutaneous approach. The percutaneous approach had relatively increased odds of thirty-day readmission, although no significant difference in one-year readmission or removal was demonstrated.

BACKGROUND: The primary objective of this study was to employ a national database to evaluate the association of hospital urbanicity, urban versus rural, on mortality and length of hospital stay in patients hospitalized with acute respiratory failure. METHODS: We used the 2014 National Inpatient Sample database to evaluate the association of hospital urbanicity with (1) mortality and (2) prolonged hospital stay, defined as ≥ 75th percentile of the study population. We conducted a mixed-effects logistic regression analysis adjusting for sociodemographic variables and medical comorbidities. The random effect was hospital identification number (a unique value assigned in the NIS database for a specific institution). The odds ratio (OR), 95% CI, and P values were reported for each independent variable. RESULTS: The odds of inpatient mortality were significantly higher among urban teaching (OR 1.39, 95% CI 1.39–1.66, P CONCLUSIONS: This study supports the current body of literature that there are significant differences in patient populations among hospital type. Differences in health outcomes among different types of hospitals should be considered when designing policies to address health equity as these are unique populations with specific needs.

Background Regional anesthesia (RA) has demonstrated distinct advantages over general anesthesia, including decreased infection risk, lower rates of complications, and improved patient satisfaction. As such, the rate of RA utilization has been increasing, particularly among outpatient orthopedic surgeries like total hip arthroplasty and total knee arthroplasty. However, no studies have examined utilization rates as a function of hospital region. Methods A national hospital database (Hospital Corporation of American, HCA) was queried for patients 18 years or older that received selected surgical procedure codes between January 2016 and June 2021. The included CPT codes were for total knee arthroplasty (TKA), total shoulder arthroplasty (TSA), anterior cruciate ligament reconstruction (ACLR), carpal tunnel release, total abdominal hysterectomy (TAH), open reduction and internal fixation (ORIF) of the ankle, and arteriovenous (AV) fistula creation. Regional anesthesia was defined as any form of neuraxial and/or peripheral nerve blocks. Basic summary statistics were utilized to calculate the rates of RA, and chi-squared analysis were calculated to determine significant differences in the rate of RA utilization. Results A total of 52068 patients were included, of which 2114 (4.06%) received RA. With respect to RA utilization by procedure, the greatest RA rates were for TSA (5.8%), TKA (4.5), and ACLR (3.6%), whereas the lowest RA rate was for TAH (1.1%). For the TKA cohort, the Midwest has a significantly greater utilization rate than the South or West (10.9% vs. 4.8% or 3.1%, p

We examined the association of body mass index (BMI) with sociodemographic data, medical comorbidities and hospital admission following ambulatory foot and ankle surgery. We conducted an analysis utilizing data from the American College of Surgeons National Surgical Quality Improvement Program database from 2007 to 2016. Adult patients who underwent ankle surgery defined as ankle arthrodesis, ankle open reduction and internal fixation, and Achilles tendon repair in the outpatient setting. We examined 6 BMI ranges

Surgery is a risk factor for chronic pain and long-term opioid use. As perioperative pain management continues to evolve, treatment modalities traditionally used for chronic pain therapy may provide additional benefit to patients undergoing surgery. Interventions such as radiofrequency ablation, cryoneurolysis, and neuromodulation may potentially be used in conjunction with acute pain procedures such as nerve blocks and multimodal analgesia. Pharmacological agents associated with chronic pain medicine, including gabapentinoids, ketamine, and selective serotonin reuptake inhibitors, may be useful adjuncts in perioperative pain management when indicated. There may also be a role for acupuncture, music therapy, and other integrative medicine therapies. A transitional pain service can help coordinate outpatient care with inpatient perioperative pain management and promote a more personalized and comprehensive approach that can improve postoperative outcomes.

The objective of this study was to assess differences in the use of perioperative regional anesthesia for thoracic surgery based on race and ethnicity.This retrospective cohort study used data from the American College of Surgeons National Surgical Quality Improvement Program from 2015 to 2020. The study authors applied a multivariate logistic regression in which the dependent variable was the primary endpoint (regional versus no regional anesthesia). The primary independent variables were race and ethnicity.Multiple healthcare systems in the United States.Participants were ≥18 years of age and undergoing thoracic surgery.Regional anesthesia.On adjusted multivariate analysis, Hispanic patients had lower odds (odds ratio [OR] 0.61, 95% CI 0.46-0.80, p = 0.0003) of receiving regional anesthesia for postoperative pain control compared to non-Hispanic patients. There was no significant difference in the odds of regional anesthesia when comparing racial cohorts (ie, White, Black, Asian, or other).There were differences observed in the provision of regional anesthesia for thoracic surgery among ethnic groups. Although the results of this study should not be taken as evidence for healthcare disparities, it could be used to support hypotheses for future studies that aim to investigate causes of disparities and corresponding patient outcomes.

The Surgical Care Improvement Project (SCIP) added the SCIP-Inf-10 measure to mandate that all surgical patients have perioperative temperature management to reduce surgical site infection. While the basis of this measure originated in colorectal surgery, we hypothesized that this would also apply to thoracic surgery patients.This was a retrospective single-center pilot study reviewing two years of thoracic surgery cases for the incidence and duration of hypothermia during the operation and surgical site infection occurring within 30 days. Hypothermia was defined as a core temperature of36° C. Results: A total of 317 patients were included in the study. Sixty-two percent of patients were identified as hypothermic. The average intraoperative temperature was 35.4°C ± 0.8°C in the hypothermic group and 36.4°C ± 0.3°C in the normothermic group. There were four surgical site infections in the study with three cases from the36°C group (p = 1). There was no difference in average post-anesthesia care unit length of stay between the groups. The average hospital length of stay was 5.5 ± 5.2 days for the hypothermic group and 8.6 ± 12.8 days for the normothermic group (p=0.0024).Perioperative hypothermia was common in thoracic surgery and did not have a negative impact on surgical site infection.

BACKGROUND Expansion of clinical guidance tools is crucial to identify patients at risk of requiring an opioid refill after outpatient surgery. OBJECTIVE The objective of this study was to develop machine learning algorithms incorporating pain and opioid features to predict the need for outpatient opioid refills following ambulatory surgery. METHODS Neural networks, regression, random forest, and a support vector machine were used to evaluate the data set. For each model, oversampling and undersampling techniques were implemented to balance the data set. Hyperparameter tuning based on k-fold cross-validation was performed, and feature importance was ranked based on a Shapley Additive Explanations (SHAP) explainer model. To assess performance, we calculated the average area under the receiver operating characteristics curve (AUC), F1-score, sensitivity, and specificity for each model. RESULTS There were 1333 patients, of whom 144 (10.8%) refilled their opioid prescription within 2 weeks after outpatient surgery. The average AUC calculated from k-fold cross-validation was 0.71 for the neural network model. When the model was validated on the test set, the AUC was 0.75. The features with the highest impact on model output were performance of a regional nerve block, postanesthesia care unit maximum pain score, postanesthesia care unit median pain score, active smoking history, and total perioperative opioid consumption. CONCLUSIONS Applying machine learning algorithms allows providers to better predict outcomes that require specialized health care resources such as transitional pain clinics. This model can aid as a clinical decision support for early identification of at-risk patients who may benefit from transitional pain clinic care perioperatively in ambulatory surgery.

Caffeine is the world's most widely used psychoactive legal substance. The involvement of caffeine in pain management has gotten minimal attention in the past, but it is getting more attention now. This article provides a brief assessment of the literature to clarify the role of caffeine as a pain reliever and stimulate the interest of researchers. Caffeine affects adenosine receptors, which are involved in nociception, and plays a significant role in pain regulation. Caffeine's usage as an adjuvant therapy has been extensively documented in the literature, and it is now accessible in certain over-the-counter drugs. The mixture of coffee and morphine for pain reduction in individuals with terminal cancer has shown mixed outcomes in studies. Caffeine can be utilized for hypnic headaches and post-dural puncture headaches since it is crucial in pain regulation. Caffeine has the potential to help in pain management. Caffeine's usage for migraines and end-stage cancer disease is not well acknowledged. Further research is essential to focus on caffeine's potential role in various forms of pain, including dosage escalation and outcome assessment standardization.

The StimRouter® peripheral nerve stimulation system created by Bioness, Inc., (CA, USA) is US FDA-approved for the treatment of peripheral mononeuropathy refractory to conservative medical management. StimRouter is a minimally invasive system that utilizes a subcutaneously implanted lead with integrated anchor and electrodes, and an external pulse generator to produce peripheral neuromodulation and achieve pain relief. Multiple published clinical trials reviewed here have shown the StimRouter system to have a high margin of safety, differentiating it from other existing peripheral neuromodulation systems requiring open surgical electrode placement and implantable pulse generators. These studies have also shown the StimRouter system to be efficacious in the treatment of multiple peripheral mononeuropathies; improving patient pain, activity levels and quality of life. StimRouter represents a feasible option for management of chronic peripheral mononeuropathy.

Preoperative smoking is an easily modifiable risk factor and has associations with increased postoperative morbidity and mortality. It is important to clarify these risks for specific procedures to provide improved and evidence-based quality of care. The purpose of the present study aims to identify the associations between preoperative smoking and 30-day postoperative outcomes in patients undergoing total hip arthroplasty.We used R statistics to conduct a multivariable logistic regression analysis followed by a propensity score matching analysis to explore the association between preoperative smoking and postoperative outcomes.A final cohort of 67,897 patients who underwent total hip arthroplasty was selected for analysis. After adjusting for potential confounders, the odds of postoperative pulmonary complications (odds ratio [OR], 1.352; 95% confidence interval [95% CI], 1.075-1.700; P = .01), infectious complications (OR, 1.310; 95% CI, 1.094-1.567; P = .003), and extended hospital stay (OR, 1.17; 95% CI, 1.099-1.251; P.001) were all significantly higher in the smoking population. After propensity matching these cohorts, both infectious complications (P = .017) and extended hospital stays (P = .001) were significantly higher in smoking patients.After controlling for potential confounding variables, our multivariable regression analysis revealed a significant increase in pulmonary and infectious complications as well as significantly longer hospital stays in our smoking population. When using a propensity score matching analysis, an increase in infectious complications as well as extended hospital stay was observed. Given the concerning prevalence of smoking in the United States, our data provide updated information toward a growing mass of literature supporting smoking cessation before surgical operations.

PURPOSE The timing and management of patients with cleft palates have been controversial. Early soft palate closure at the time of cleft lip repair followed by hard palate closure at a second stage has been hypothesized to improve speech and audiology outcomes. This study compares cleft palate patients who have undergone single-stage versus 2-stage cleft palate repairs and the outcomes on speech and hearing. METHODS A retrospective chart review identified patients with diagnosis of cleft lip with complete cleft palate who underwent either single or 2-stage repair from 2006 to 2012. Data collected included age at each surgery, necessity of further speech surgery for velopharyngeal insufficiency, frequency of tympanostomy tube placement, presence of hearing loss, and speech assessment data graded per the validated Americleft speech scale. RESULTS A total of 84 patients were identified and subdivided into groups of single-stage and 2-stage repair. The mean age at the time of single-stage palate repair was 13.3 months. For the 2-stage group, the mean ages were 4.2 and 11.8 months for the soft palate and hard palate repairs, respectively. Comparing the single-stage versus 2-stage palate repairs, there was no significant difference in all speech parameters including hypernasality, hyponasality, nasal air emission, articulation, expressive language, receptive language, speech intelligibility, and speech acceptability for both unilateral and bilateral cleft lip/palate patients. Two-stage repair was associated with increased number of tympanostomy tube placement compared with single-stage repair (relative risk, 1.74; P = 0.009), and the first set of tubes was performed at a statistically significantly younger age, 4.5 months in the 2-stage repair compared with 16.9 months in the single-stage (P = 0.012) with 87.5% performed with first stage of repair. However, there was no difference in the types, degrees of hearing loss, or the presence of at least mild conductive hearing loss at latest follow-up audiograms between the groups. CONCLUSIONS There was no significant benefit with respect to speech or hearing outcomes between single-stage and 2-stage cleft palate repairs. This advocates for surgeon and family preference in the timing of cleft palate repair.

Background: Same-day discharge, defined as discharge from the hospital within 24 h of surgery, has been shown to be safe for joint arthroplasty. We examined demographic and clinical factors associated with same-day discharge and unplanned readmission following shoulder arthroplasty in adult patients.Methods: Utilizing data from the American College of Surgeons National Surgical Quality Improvement Program database, we extracted information of all patients that underwent shoulder arthroplasty. The primary and secondary outcome of interest was same-day discharge and 30-day unplanned readmission, respectively. We utilized multivariable logistic regression to identify covariates associated with these outcomes. Results: There were 17,011 patients analyzed when identifying predictors for same-day discharge. There was an increase in same-day discharge from 2007 to 2016. The odds of same-day discharge were significantly better for males (P < 0.001). The odds of same-day discharge was significantly decreased for every 10-year increase in age and for patients with insulin dependent diabetes, poor functional status, chronic obstructive pulmonary disease, congestive heart failure, bleeding disorder, and comorbidity burden (all P < 0.001). There were 14,276 patients analyzed for hospital readmission. The odds of unplanned readmission were significantly higher for every 10-year increase in age and for patients with poor functional status, congestive heart failure, bleeding disorder, and higher comorbidity burden (all P < 0.001). Conclusions: The results of this study show that preoperative comorbidities and advanced age reduce the odds of same-day discharge. Risk stratification, preoperative optimization, and coordinated care after surgery may be helpful to optimize patients for same-day discharge.

Ultrasound-guided percutaneous peripheral nerve stimulation (PNS) may be used to treat acute postoperative pain for various types of surgeries. This modality avoids several limitations of traditional local anesthetic-based peripheral nerve blocks including avoidance of motor blockade and sensory deficits.In this review, we discuss the use of SPRINT (SPR Therapeutics, Cleveland, OH) neuromodulation system in the setting of acute postoperative pain management.PNS is a novel modality in regional anesthesia that has much promise in reducing overall opioid use after surgery. Placement of PNS is very similar to that of catheter-based regional anesthesia techniques. Ultrasound is used to guide the percutaneously placed introducer needle in proximity to the target nerve. There are several benefits of PNS over catheter-based approaches, including: 1) avoidance of motor or sensory blockade; 2) no medication bag required to be carried; and 3) electric leads may be kept

In this retrospective cohort single-institutional study, we report the outcomes of implementing a standardized protocol of multimodal pain management with thoracic epidural analgesia via the acute pain service (APS) for patients undergoing ventral hernia repair with mesh placement and abdominal wall reconstruction. The primary outcome evaluated was postoperative 72-h opioid consumption, measured in intravenous morphine equivalents (MEQ). Secondary outcomes included hospital length of stay (LOS) among other outcomes. The two cohorts were the APS versus non-APS group, in which the former cohort had an APS providing epidural and multimodal analgesia and the latter utilized pain management per surgical team, which mostly consisted of opioid therapy. Using1:1 propensity-score-matched cohorts, Wilcoxon signed-rank test was used to calculate the differences in outcomes. A p

The authors provide a comprehensive summary of all randomized, controlled trials (n = 76) involving the clinical administration of liposomal bupivacaine (Exparel; Pacira Pharmaceuticals, USA) to control postoperative pain that are currently published. When infiltrated surgically and compared with unencapsulated bupivacaine or ropivacaine, only 11% of trials (4 of 36) reported a clinically relevant and statistically significant improvement in the primary outcome favoring liposomal bupivacaine. Ninety-two percent of trials (11 of 12) suggested a peripheral nerve block with unencapsulated bupivacaine provides superior analgesia to infiltrated liposomal bupivacaine. Results were mixed for the 16 trials comparing liposomal and unencapsulated bupivacaine, both within peripheral nerve blocks. Overall, of the trials deemed at high risk for bias, 84% (16 of 19) reported statistically significant differences for their primary outcome measure(s) compared with only 14% (4 of 28) of those with a low risk of bias. The preponderance of evidence fails to support the routine use of liposomal bupivacaine over standard local anesthetics.