Perioperative implications of amyloidosis and amyloid cardiomyopathy: A review for anesthesiologists.

It is well recognized that amyloid protein can infiltrate many regions of the body. This can include the peripheral nerves, the liver, kidney, spleen, the gastrointestinal tract, and most importantly the myocardium. The amyloid proteins that cause cardiomyopathy may come from genetically altered liver genes (transthyretin amyloid, ATTR) or from the bone marrow with malignant plasma cells (light chain amyloid, AL) generating the aberrant protein. These two types of amyloidosis cause significant damaging effects on both the myocardial cells as well as the conduction system of the heart. The resultant changes can produce dyspnea and exercise intolerance which is thought to be secondary to diastolic dysfunction and reduced stroke volume. This subclinical decompensation poses a significant problem for members of a care team as it often goes unrecognized. In the operating room patients are exposed to dramatic hemodynamic changes and may have difficult airways, autonomic dysfunction, and conduction abnormalities. Although the topic of amyloidosis is well described in cardiology literature, it is underdiagnosed. The purpose of this review is to describe some of the pathophysiology behind the principle proteins that cause cardiac amyloidosis and to comprehensively describe perioperative considerations for anesthesia providers.

American society of anesthesiologists physical status classification significantly affects the performances of machine learning models in intraoperative hypotension inference.

STUDY OBJECTIVE: To explore how American Society of Anesthesiologists (ASA) physical status classification affects different machine learning models in hypotension prediction and whether the prediction uncertainty could be quantified. DESIGN: Observational Studies SETTING: UofL health hospital PATIENTS: This study involved 562 hysterectomy surgeries performed on patients (≥ 18 years) between June 2020 and July 2021. INTERVENTIONS: None MEASUREMENTS: Preoperative and intraoperative data is collected. Three parametric machine learning models, including Bayesian generalized linear model (BGLM), Bayesian neural network (BNN), a newly proposed BNN with multivariate mixed responses (BNNMR), and one nonparametric model, Gaussian Process (GP), were explored to predict patients' diastolic and systolic blood pressures (continuous responses) and patients' hypotensive event (binary response) for the next five minutes. Data was separated into American Society of Anesthesiologists (ASA) physical status class 1- 4 before being read in by four machine learning models. Statistical analysis and models' constructions are performed in Python. Sensitivity, specificity, and the confidence/credible intervals were used to evaluate the prediction performance of each model for each ASA physical status class. MAIN RESULTS: ASA physical status classes require distinct models to accurately predict intraoperative blood pressures and hypotensive events. Overall, high sensitivity (above 0.85) and low uncertainty can be achieved by all models for ASA class 4 patients. In contrast, models trained without controlling ASA classes yielded lower sensitivity (below 0.5) and larger uncertainty. Particularly, in terms of predicting binary hypotensive event, for ASA physical status class 1, BNNMR yields the highest sensitivity of 1. For classes 2 and 3, BNN has the highest sensitivity of 0.429 and 0.415, respectively. For class 4, BNNMR and GP are tied with the highest sensitivity of 0.857. On the other hand, the sensitivity is just 0.031, 0.429, 0.165 and 0.305 for BNNMR, BNN, GBLM and GP models respectively, when training data is not divided by ASA physical status classes. In terms of predicting systolic blood pressure, the GP regression yields the lowest root mean squared errors (RMSE) of 2.072, 7.539, 9.214 and 0.295 for ASA physical status classes 1, 2, 3 and 4, respectively, but a RMSE of 126.894 if model is trained without controlling the ASA physical status class. The RMSEs for other models are far higher. RMSEs are 2.175, 13.861, 17.560 and 22.426 for classes 1, 2, 3 and 4 respectively for the BGLM. In terms of predicting diastolic blood pressure, the GP regression yields the lowest RMSEs of 2.152, 6.573, 5.371 and 0.831 for ASA physical status classes 1, 2, 3 and 4, respectively; RMSE of 8.084 if model is trained without controlling the ASA physical status class. The RMSEs for other models are far higher. Finally, in terms of the width of the 95% confidence interval of the mean prediction for systolic and diastolic blood pressures, GP regression gives narrower confidence interval with much smaller margin of error across all four ASA physical status classes. CONCLUSIONS: Different ASA physical status classes present different data distributions, and thus calls for distinct machine learning models to improve prediction accuracy and reduce predictive uncertainty. Uncertainty quantification enabled by Bayesian inference provides valuable information for clinicians as an additional metric to evaluate performance of machine learning models for medical decision making.

Beyond the self: a novel framework to enhance non-technical team skills for anesthesiologists.

Human factors and non-technical skills (NTS) have been identified as essential contributors to both the propagation and prevention of medical errors in the operating room. Despite extensive study and interventions to nurture and enhance NTS in anesthesiologists, gaps to effective team practice and patient safety remain. Furthermore, the link between added NTS training and clinically significant improved outcomes has not yet been demonstrated. We performed a narrative review to summarize the literature on existing systems and initiatives used to measure and nurture NTS in the clinical operating room setting. Controlled interventions performed to nurture NTS (N.=13) were identified and compared. We comment on the body of current evidence and highlight the achievements and limitations of interventions published thus far. We then propose a novel education and training framework to further develop and enhance non-technical skills in both individual anesthesiologists and operating room teams. We use the cardiac anesthesiology environment as a starting point to illustrate its use, with clinical examples. NTS is a key component of enhancing patient safety. Effective framing of its concepts is central to apply individual characteristics and skills in team environments in the OR and achieve tangible, beneficial patient outcomes.

Cardiovascular anesthesia training: A single center survey among fellow doctors.

Despite the proliferation of research on anesthesiology training at all stages of medical education, there is relatively little published literature surveying the perspectives and concerns of anesthesiologists regarding cardiovascular anesthesia training. Therefore, we conducted a survey to investigate the attitudes, barriers, expectations, stress experiences, satisfaction, and future aspirations of anesthesiologists trained at a tertiary cardiovascular specialty hospital in China. A questionnaire survey was conducted among 260 anesthesiologists who received cardiovascular anesthesia training at departments of anesthesiology in a tertiary cardiovascular specialty hospital in China. After the study protocol was approved, electronic questionnaires were distributed to the target group through the online survey software "Wen Juan Xing." Respondents were asked to complete an anonymous questionnaire on their smartphones through WeChat, with the restriction of one response per device enabled. Of the 260 trainees, 240 (98%) completed the questionnaire. The majority of the trainees were 31 years of age or above. A large majority had approximately 10 years of clinical anesthesia practice, and nearly one-third had never undertaken cardiovascular specialty anesthesia practice before. The most common reasons for attending the refresher training were the need to learn basic specialty theory and improve clinical skills. The barriers were mainly time constraints or staff shortages in the department. Sixty-one (93.8%) trainees described the experience as "stressful or highly stressful" and identified poor teacher interaction as the highest-ranking stressor. Anesthesiologists were most dissatisfied with job rewards, with a satisfaction rate of only 15%. Anesthesiologists are highly stressed during the refresher training. Poor teacher interaction and low job rewards were identified as the highest-ranking stressors during cardiovascular anesthesia training. Training providers need to pay more attention to these stressors to enhance the quality of cardiovascular anesthesia training.

Clinical Outcomes of Percutaneous Left-Atrial Appendage Occlusion with Conscious Sedation without an Anesthesiologist on Site: Results from a Multicenter Study.

Background and Objectives: Percutaneous left-atrial appendage (LAA) occlusion is an important therapeutic option for preventing cardioembolic stroke in patients with non-valvular atrial fibrillation (AF) at high risk of thromboembolic events and with contraindications for oral anticoagulation (OAC). It is usually performed with transesophageal echocardiography (TOE) guidance under general anesthesia (GA). In this retrospective study, we present a multicenter experience of LAA occlusion performed with conscious sedation (CS) without an anesthesiologist on site. Materials and Methods: All the patients on the waiting list for LAA occlusion procedure at Infermi Hospital, Rivoli, and San Luigi Gonzaga University Hospital, Orbassano, from October 2018 to October 2022 were analyzed. All the procedures were performed with a Watchman/FLX LAA closure device under TOE and fluoroscopic guidance without an anesthesiologist on site. CS was performed with a combination of midazolam and fentanyl as needed. Results: One-hundred fifteen patients were included (age 76.4 ± 7.6 years, median CHA2DS2Vasc 4.4 ± 1.4). CS was performed using midazolam (mean dose 5.9 ± 2.1 mg), adding fentanyl for thirty-nine (33.9%) patients in case of poor tolerance for the procedure despite midazolam. The acute procedural success rate was 99.1%. We observed seven acute severe complications. No patients needed anesthesiological assistance during the procedure, and no cases of respiratory failure necessitating ventilation were reported. In a follow-up after 10 ± 9 months, one case of stroke (0.9%) and one case (0.9%) of transient ischemic attack (TIA) occurred. Conclusions: LAA occlusion performed under CS and without the presence of an anesthesiologist on site appears to be safe and effective. It can be an attractive alternative to general anesthesia (GA), as fewer resources are required.

Laparoscopic Surgery for Elderly Colorectal Cancer Patients With High American Society of Anesthesiologists Scores.

BACKGROUND/AIM: To evaluate the safety of colorectomy in elderly colorectal cancer patients with high American Society of Anesthesiologists (ASA) scores compared to those with low scores. PATIENTS AND METHODS: Two hundred patients with stage I-IV colorectal cancer aged ≥80 years were retrospectively analyzed. Short- and long-term outcomes were compared between 136 patients with ASA scores ≤2 (low ASA group) and 64 patients with scores ≥3 (high ASA group). RESULTS: The incidence of postoperative complications, duration of postoperative hospital stay, and 5-year overall and cancer-specific survival rates did not differ significantly between the groups. Laparoscopic surgery was significantly associated with a lower incidence of postoperative complications than open surgery in the high ASA score group (p=0.041), whereas no difference was observed in the low ASA score group (p=0.639). In the high ASA group, open surgery (p=0.024) and higher body mass index (p=0.040) were independent risk factors for postoperative complications. CONCLUSION: Colorectal cancer resection can be safely performed in elderly patients with high ASA scores. Moreover, laparoscopic surgery may have a stronger contribution to the reduction of postoperative complications in elderly patients with colorectal cancer with high ASA scores than in those with low ASA scores.

[Rapid diagnosis of acquired hemophilia A with ClotPro viscoelastometry analyser]. / A szerzett haemophilia A gyors diagnosztikája ClotPro viszkoelasztometriás készülékkel.

Acquired hemophilia A is a rare condition with the capability of bringing about life-threatening bleeding in the perioperative period, posing a significant challenge for the caregiver anesthetist to identify the underlying cause. However, a quick diagnosis might be supported by viscoelastometry by raising the suspicion of severe and isolated deficiency of the intrinsic coagulation pathway, requiring a prompt consultation with a hematology center. Special laboratory tests of hemostasis are helpful in the differential diagnosis of the detected coagulation disorder. Nevertheless, bypassing agents have gained a crucial role in the treatment of major perioperative blood losses by bypassing Factor VIII inactivated by autoantibodies and thus, initiating coagulation. Early goal-directed supplementation of depleted coagulation factors must also be kept in the focus of the therapy. Orv Hetil. 2023; 164(40): 1600-1604.

A Retrospective Analysis Investigating Whether Case Volume Experience of the Anesthesiologist Correlates with Intraoperative Efficiency for Joint Arthroplasty.

The objective of this retrospective study was to determine if there was an association between anesthesiology experience (e.g. historic case volume) and operating room (OR) efficiency times for lower extremity joint arthroplasty cases. The primary outcome was time from patient in the OR to anesthesia ready (i.e. after spinal or general anesthesia induction was complete). The secondary outcomes included time from anesthesia ready to surgical incision, and time from incision to closing completed. Mixed effects linear regression was performed, in which the random effect was the anesthesiology attending provider. There were 4,575 patients undergoing hip or knee arthroplasty included. There were 82 unique anesthesiology providers, in which the median [quartile] frequency of cases performed was 79 [45, 165]. On multivariable mixed effects linear regression - in which the primary independent variable (anesthesiologist case volume history for joint arthroplasty anesthesia) was log-transformed - the estimate for log-transformed case volume was - 0.91 (95% confidence interval [CI] -1.62, -0.20, P = 0.01). When modeling time from incision to closure complete, the estimate for log-transformed case volume was - 2.07 (95% -3.54, -0.06, P = 0.01). Thus, when comparing anesthesiologists with median case volume (79 cases) versus those with the lowest case volume (10 cases), the predicted difference in times added up to only approximately 6 min. If the purpose of faster anesthesia workflows was to open up more OR time to increase surgical volume in a given day, this study does not support the supposition that anesthesiologists with higher joint arthroplasty case volume would improve throughput.

Benchmarking outcomes for day surgery.

In comparison to large acute care centers, Ambulatory Surgery Centers (ASCs) provide patient-centered, fast, efficient, effective, high-value, high-quality, reliable, and safe care. For these reasons, ASCs are often preferred working venues for perioperative staff and desirable partners for surgeons, proceduralists, and anesthesiologists. Given today's many headwinds, including inflation, downward rate pressures, increasing regulation, and near constant supply chain issues, not to mention increasing patient and procedural complexity, exemplary clinical and operational management is of paramount importance and requires frequent measurement and benchmarking. Benchmarking is critical to performance assessment and is vital for assessing existing processes and new pathways and protocols, and remains the best way to identify areas for improvement. This chapter provides the reader with an overview of key ASC-related performance indicators, what they mean, and how best to measure and compare them to local, regional, and national benchmarks.

Day-surgery adult patients with obesity and obstructive sleep apnea: Current controversies and concerns.

Obesity and obstructive sleep apnea are considered independent risk factors that can adversely affect perioperative outcomes. A combination of these two conditions in the ambulatory surgery patient can pose significant challenges for the anesthesiologist. Nevertheless, these patients should not routinely be denied access to ambulatory surgery. Instead, patients should be appropriately optimized. Anesthesiologists and surgeons must work together to implement fast-track anesthetic and surgical techniques that will ensure successful ambulatory outcomes.

The patient with congenital heart disease in ambulatory surgery.

The number of patients with congenital heart disease (CHD) undergoing ambulatory surgery is increasing. Deciding whether a CHD patient is suitable for an ambulatory procedure is still challenging. Several factors must be considered, including the type of planned procedure, the complexity of the underlying pathology, the American Society of Anesthesiologists' Physical Status classification of the patient, and other patient-specific factors, including comorbidity, chronic complications of CHD, medication, coagulation disorders, and issues related to the presence of a pacemaker (PM) or cardioverter-defibrillator. Numerous studies reported higher perioperative mortality and morbidity rates in surgical patients with CHD than non-CHD patients. However, most of these studies were conducted in a cohort of hospitalized patients and may not reflect the ambulatory setting. The current review aims to provide the anesthesiologist with an overview and practical recommendations on selecting and managing a CHD patient scheduled for an ambulatory procedure.

Enhanced recovery protocols for ambulatory surgery.

INTRODUCTION: In the United States, ambulatory surgeries account for up to 87% of all surgical procedures. (1) It was estimated that 19.2 million ambulatory surgeries were performed in 2018 (https://www.hcup-us.ahrq.gov/reports/statbriefs/sb287-Ambulatory-Surgery-Overview-2019.pdf). Cataract procedures and musculoskeletal surgeries are the most common surgical interventions performed in ambulatory centers. However, more complex surgical interventions, such as sleeve gastrectomies, oncological, and spine surgeries, and even arthroplasties are routinely performed as day cases or in a model of an ambulatory extended recovery. (2-5) The ambulatory surgery centers industry has grown since 2017 by 1.1% per year and reached a market size of $31.2 billion. According to the Ambulatory Surgery Center Association, there is a potential to save $57.6 billion in Medicare costs over the next decade (https://www.ibisworld.com/industry-statistics/market-size/ambulatory-surgery-centers-united-states/). These data suggest an expected rise in the volume of ambulatory (same day) or extended ambulatory (23 h) surgeries in coming years. Similar increases are also observed in other countries. For example, 75% of elective surgeries are performed as same-day surgery in the United Kingdom. (6) To reduce costs and improve the quality of care after those more complex procedures, ambulatory surgery centers have started implementing patient-centered, high-quality, value-based practices. To achieve those goals, Enhanced Recovery After Surgery (ERAS) protocols have been implemented to reduce the length of stay, decrease costs, increase patients' satisfaction, and transform clinical practices. The ERAS fundamentals for ambulatory surgery are based on five pillars, including (1) preoperative patient counseling, education, and optimization; (2) multimodal and opioid-sparing analgesia; (3) nausea and vomiting, wound infection, and venous thromboembolism prophylaxis; (4) maintenance of euvolemia; and (5) encouragement of early mobility. Those pillars rely on interdisciplinary teamwork led by anesthesiologists, surgery-specific workgroups, and safety culture. (2) Research shows that a team of ambulatory anesthesiologists is crucial in improving postoperative nausea and vomiting (PONV) and pain control. (7) This review will summarize the current evidence on the elements and clinical importance of implementing ERAS protocol for ambulatory surgery.

Team Dynamics in the Operating Room: How Is Team Performance Optimized?

Health care requires the effort of a team, and nowhere is this more evident than in the care of the surgical patient. No single clinician can perform all aspects of the continuum of surgical care. The basic operating room (OR) team consists of nurses, technicians, surgeons, and anesthesiologists with unique and well-defined roles and expertise in perioperative care. The modern OR team continues to grow and evolve in size, diversity, and complexity to meet the needs of growing patient and procedural complexity. This growing complexity makes achieving optimal team performance paramount and challenging.

Coaching to Improve Individual and Team Performance in Anesthesiology.

In addition to medical knowledge and psychomotor skills, anesthesiology practice requires the ability to work within a complex system, navigate social situations, manage conflict, and lead teams. Coaching has foundations in psychology and adult learning theory and uses a process of inquiry, reflection, and shared discernment to discover values, goals, and solutions. There is increasing use and evidence for coaching in medicine and anesthesiology to support personal and professional growth. Individual and group coaching for anesthesiologists may improve anesthesiologists' ability to communicate, collaborate and solve problems, improving well-being, culture, and plausibly, patient outcomes.

Practice Model Trends in Medicare Payments Across States and Regions.

Anesthesia delivery models have long been shaped by workforce trends, state and federal regulations, economic incentives driven by reimbursement, and the normative preferences of provider and facility organizations. In recent years, there has been a significant shift toward greater use of more efficient certified registered nurse anesthetist (CRNA)-oriented delivery models observed at the national level Medicare data. However, given the wide range of these factors across states and regions, this shift has likely occurred at an uneven pace. This study analyzes the influence of provider workforce composition and CRNA scope of practice (SOP) regulations on usage of competing types of anesthesia delivery models, including anesthesiologist alone, care team, and undirected CRNA models. Results show that over the period from 2010-2019, anesthesia delivery models utilized under Medicare Part B have become increasingly oriented around the use of CRNAs. However, increases in the care team vs undirected CRNA model are highly uneven and inconsistent across states, even after adjusting for workforce and SOP. Speculation on additional normative or organization-driven reasons for persistent use of inefficient delivery models in some places is offered.

Nurse Anesthetist Practice Over 40 Years: A Repeated Cross-Sectional Study in Norway.

Research focusing on the scope of practice by nurse anesthetists (NAs) is limited. The purpose of this study was to examine NAs' scope of practice in Norway, and to explore whether and how this has changed during the period from 1979 to 2018. The study had a repeated crosssectional design. All members of the Norwegian Association of Nurse Anesthetists at the four time-points (1979, 1989, 1999 and 2018) were invited to participate in a questionnaire study. Inclusion criteria were education and work as an NA and currently working in Norway. Data were analyzed using the Statistical Package for the Social Sciences (SPSS). Findings indicate that the scope of NAs' practice in Norway has been increasingly restricted from 1979 to 2018 (N = 2171, P < .001). Additionally, the presence of an anesthesiologist when performing anesthesia had significantly increased during that time (39% in 1979 vs 90% in 2018). However, NAs' independent practice significantly increased in some areas, such as handling of acute situations, (i.e., handling of laryngospasm/bronchospasm [41% in 1979 versus 54% in 2018]). International and national standards underline the independent role of NAs. The development shown in our results should be addressed to avoid further restrictions of NAs' scope of practice.

A survey of United States obstetric anesthesiologists' perceived value of obstetric anesthesiology fellowship.

INTRODUCTION: Subspecialty training in obstetric anesthesiology is associated with improved patient outcomes and reduced anesthesia-related morbidity and mortality. Despite this, the demand for fellowship-trained obstetric anesthesiologists far exceeds the supply. This survey study aimed to evaluate the perceived value of obstetric anesthesiology subspecialty training on career trajectory, job satisfaction, quality of life, and job autonomy. METHODS: After Institutional Review Board approval, we conducted a cross-sectional study of fellowship-trained obstetric anesthesiologists in the United States of America. In March and April 2022, program directors of obstetric anesthesiology fellowships distributed an electronic survey link containing 29 multiple-choice questions to their program alumni. Survey content included respondent demographic characteristics, practice models, career information, and perceived value of an obstetric anesthesiology fellowship. RESULTS: We surveyed 217/502 (43%) fellowship-trained obstetric anesthesiologists with a response rate of 158/217 (73%). Most worked in urban, academic, and level IV perinatal health centers. The majority believed an obstetric anesthesiology fellowship was "extremely beneficial" (77%), enhanced quality of life (84%), improved the quality of patient care (99%), and was influential in helping obtain their first post-training job (86%). The perceived value of the fellowship included an enhanced career trajectory, a sense of purpose, improved job satisfaction, a sense of work community, lower burnout, involvement in maternal health initiatives, increased mentorship, and departmental leadership. CONCLUSION: In this survey study, fellowship-trained obstetric anesthesiologists perceived a positive impact of fellowship training on career trajectory, job protection and autonomy, quality of life, and job satisfaction. This information may be meaningful to trainees considering pursuing a fellowship and a career in obstetric anesthesiology.

Measuring and Comparing Clinical Productivity of Individual Anesthesiologists.

Measuring and comparing clinical productivity of individual anesthesiologists is confounded by anesthesiologist-independent factors, including facility-specific factors (case duration, anesthetizing site utilization, type of surgical procedure, and non-operating room locations), staffing ratio, number of calls, and percentage of clinical time providing anesthesia. Further, because anesthesia care is billed with different units than relative value units, comparing work with other types of clinical care is difficult. Finally, anesthesia staffing needs are not based on productivity measurements but primarily the number and hours of operation of anesthetizing sites. The intent of this review is to help anesthesiologists, anesthesiology leaders, and facility leaders understand the limitations of anesthesia unit productivity as a comparative metric of work, how this metric often devalues actual work, and the impact of organizational differences, staffing models and coverage requirements, and effectiveness of surgical case load management on both individual and group productivity.