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BACKGROUND: Retrospective and prospective studies 2 decades ago from the authors’ institution reported the incidence of perioperative ulnar neuropathy persisting for at least several months in a noncardiac adult surgical population to be between 30 and 40 per 100,000 cases. The aim of this project was to assess the incidence and explore risk factors for perioperative ulnar neuropathy in a recent cohort of patients from the same institution using a similar definition for ulnar neuropathy. METHODS: We performed a retrospective incidence and case-control study of all adults (≥18 years) undergoing noncardiac procedures with anesthesia services between 2011 and 2015. Each incident case of persistent ulnar neuropathy within 6 months of surgery was matched by age, sex, procedure date, and procedure type to 5 surgical patient controls. For the case-control study, separate conditional logistic regression analyses were performed to assess specific risk factors including the patient’s body position and arm position, as well as body mass index (BMI), surgical duration, and selected patient comorbidities. RESULTS: Persistent ulnar neuropathy of at least 2 months duration was found in 22 of 324,124 anesthetics for patients who underwent these procedures during the study period for an incidence rate of 6.8 (95% confidence interval [CI], 4.3-10.3) per 100,000 anesthetics. The incidence of ulnar neuropathy was higher in men compared to women (10.7 vs 3.0 per 100,000; P = .016). From the matched case-control study, the odds of ulnar neuropathy increased with higher BMI (odds ratio [OR] = 1.67 [1.16-2.42] per 5 kg/m 2 increase in BMI; P = .006), history of cancer (OR = 6.46 [1.64-25.49]; P = .008), longer procedures (OR = 1.53 [1.18-1.99] per hour; P = .001), and when 1 or both arms were tucked during surgery (OR = 6.16 [1.85-20.59]; P = .003). CONCLUSIONS: The incidence of persistent perioperative ulnar neuropathy observed in this study was lower than the incidence reported 2 decades ago from the same institution and using a similar definition for ulnar neuropathy. Several of the previously reported risk factors continue to be associated with the development of persistent perioperative ulnar neuropathy, providing ongoing targets for practice changes that might further decrease the incidence of this problem.

Abstract Background: Overall, patients with cancer experience a greater risk of adverse outcomes following SARS-CoV-2 infection; however, little is known for those with BC. Methods: CCC19 (NCT04354701) is an international cohort study aimed at investigating the impact of COVID-19 in patients with a history of or active cancer using de-identified data on patient demographics, cancer history, clinical course and outcomes of COVID-19. The current analysis includes patients from U.S. and Canada with invasive BC and laboratory-confirmed SARS-CoV-2 entered between March 17, 2020 and July 2, 2020. Co-primary outcomes were hospitalization during COVID-19 illness and 30-day all-cause mortality. Frequencies for categorical variables and medians (range) for continuous variables were estimated. Final presentation will include bivariable and multivariable Cox proportional hazards regression analysis to identify risk factors (including BC subtypes and therapies, for which data collection is ongoing) associated with 30-day all-cause mortality and severe COVID-19 illness (composite of any hospitalization requiring supplemental oxygen, admission to an intensive care unit [ICU], use of mechanical ventilation, or death). Results: During the study period, a total of 2683 patients with cancer and COVID-19 were accrued in the CCC19 registry including 529 (20%) with invasive BC. Among patients with BC, 352 (67%) were 60 years or older; 518 (98%) were women; 275 (52%) non-Hispanic White, 116 (22%) non-Hispanic Black, 70 (13%) Hispanic, 56 (11%) in other categorizations; 178 (34%) had a smoking history; 75 (14%) ECOG performance status ≥2; 191 (36%) with >2 active comorbidities; 64 (12%) with AJCC stage IV disease at BC diagnosis; and 267 (50%) were on anti-cancer treatment including systemic therapy, radiation, or surgery within 3 months of COVID-19 diagnosis. At least 323 (61%) patients with BC had 30-day follow-up after COVID-19 diagnosis, and 35 (7%) had 90-day follow-up. COVID-19 illness at initial diagnosis required outpatient care in 288 (54%), inpatient care in 193 (36%), and ICU care in 40 (8%). Overall, 247 (47%) were hospitalized and 30-day all-cause mortality was 9%. 30-day all-cause mortality rates by receipt of major BC treatment modalities (within past 3 months) were: 10% for those on cytotoxic systemic therapy vs 5% and 12% for noncytotoxic systemic therapy and local therapy, respectively. The table shows hospitalization and mortality outcomes by major demographic and BC treatment strata. The final presentation will incorporate the latest patient accrual and evaluate independent clinical risk factors associated with serious COVID-19 outcomes in patients with BC. Conclusions: This represents the largest study to date of COVID-19 outcomes in patients with invasive BC. Nearly half of the patients with BC required hospitalization during their COVID-19 disease course and we observed a 9% 30-day all-cause mortality. Submitted on behalf of the COVID-19 and Cancer Consortium (ccc19us.org) Table 1. COVID-19 related hospitalization and 30-day all-cause mortality for all patients with invasive BCNAny Hospitalization30-day all-cause MortalityN% [95% CI]N% [95% CI]Total population52924747 [42-51]499 [7-12]Age<601774425 [19-32]21 [0-4]60-691155144 [35-54]87 [3-13]70-791206655 [46-64]1714 [8-22]80+1178674 [65-81]2219 [12-27]ECOG PS0-132212238 [33-43]165 [3-8]2+756181 [71-89]1621 [13-32]Active Comorbidities0741014 [7-23]00 [0-5]1-22239442 [36-49]178 [5-12]>219112968 [60-74]2915 [10-21]Treatment IntentCurative1866434 [28-42]95 [2-9]Palliative743953 [41-64]1216 [9-27]Cancer StatusRemission/NED33115447 [41-52]247 [5-11]Active disease, stable or responding to treatment1194840 [31-50]76 [2-12]Active disease, progressing372773 [56-86]1130 [16-47]Treatment Modality (within 3 months)Cytotoxic chemotherapy833542 [31-54]810 [4-18]Noncytotoxic therapy1856435 [28-42]105 [3-10]Local therapy (surgery or radiation)341750 [32-68]412 [3-27] Citation Format: Ali Raza Khaki, Dimpy P Shah, Maryam B Lustberg, Melissa K Accordino, Daniel G Stover, Gayathri Nagaraj, Donna R Rivera, Edith A Perez, Sara M Tolaney, Jeffrey Peppercorn, Petros Grivas, Jeremy L Warner, Corrie A Painter, Gilberto de Lima Lopes, Jr, Solange Peters, Michael A Thompson, Toni K Choueiri, Brian I Rini, Gary H Lyman, Nicole M Kuderer, Shaveta Vinayak. Characteristics and outcomes of SARS-CoV-2 infection in patients with invasive breast cancer (BC) from the COVID-19 and cancer consortium (CCC19) cohort study [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS7-01.

BACKGROUND: Preoperative anemia is common in cardiac surgery, yet there were limited data describing the role of sex in the associations between anemia and clinical outcomes. Understanding these relationships may guide preoperative optimization efforts. METHODS: This is an observational cohort study of adults undergoing isolated coronary artery bypass grafting or single- or double-valve surgery from 2008 to 2018 at a large tertiary medical center. Multivariable regression assessed the associations between preoperative hemoglobin concentrations and a primary outcome of postoperative acute kidney injury (AKI) and secondary outcomes of perioperative red blood cell (RBC) transfusion, reoperation, vascular complications (ie, stroke, pulmonary embolism, and myocardial infarction), and hospital length of stay (LOS). Each outcome was a single regression model, using interaction terms to assess sex-specific associations between hemoglobin and outcome. RESULTS: A total of 4117 patients were included (57% men). Linear splines with sex-specific knots (13 g/dL in women and 14 g/dL in men) provided the best overall fit for preoperative hemoglobin and outcome relationships. In women, each 1 g/dL decrease in hemoglobin <13 g/dL was associated with increased odds of AKI (odds ratio = 1.49; 95% confidence interval [CI], [1.23-1.81]; P < .001), and there was no significant association between hemoglobin per 1 g/dL >13 g/dL and AKI (0.90 [0.56-1.45]; P = .67). The association between hemoglobin and AKI in men did not meet statistical significance (1.10 [0.99-1.22]; P = .076, per 1 g/dL decrease <14 g/dL; 1.00 [0.79-1.26]; P = .98 for hemoglobin per 1 g/dL >14 g/dL). In women, lower preoperative hemoglobin (per 1 g/dL decrease <13 g/dL) was associated with increased odds of RBC transfusion (2.90 [2.33-3.60]; P < .001), reoperation (1.27 [1.11-1.45]; P < .001) and a longer hospital LOS (multiplicative increase in geometric mean 1.05 [1.03-1.07]; P < .001). In men, preoperative hemoglobin (per 1 g/dL decrease <14 g/dL) was associated with increased odds of perioperative RBCs (2.56 [2.27-2.88]; P < .001) and longer hospital LOS (multiplicative increase in geometric mean 1.02 [1.01-1.04] days; P < .001) but not reoperation (0.94 [0.85-1.04]; P = .256). Preoperative hemoglobin per 1 g/dL >13 g/dL in women and 14 g/dL in men were associated with lower odds of RBCs transfusion (0.57 [0.47-0.69]; P < .001 and 0.74 [0.60-0.91]; P = .005, respectively). CONCLUSIONS: Preoperative anemia was associated with inferior clinical outcomes after cardiac surgery. The associations between hemoglobin and outcomes were distinct for women and men, with different spline knot points identified (13 and 14 g/dL, respectively). Clinicians should consider data-driven approaches to determine preoperative hemoglobin values associated with increasing risk for adverse perioperative outcomes across sexes.

BACKGROUND: The American Board of Anesthesiology administers the APPLIED Examination as a part of initial certification, which as of 2018 includes 2 components—the Standardized Oral Examination (SOE) and the Objective Structured Clinical Examination (OSCE). The goal of this study is to investigate the measurement construct(s) of the APPLIED Examination to assess whether the SOE and the OSCE measure distinct constructs (ie, factors). METHODS: Exploratory item factor analysis of candidates’ performance ratings was used to determine the number of constructs, and confirmatory item factor analysis to estimate factor loadings within each construct and correlation(s) between the constructs. RESULTS: In exploratory item factor analysis, the log-likelihood ratio test and Akaike information criterion index favored the 3-factor model, with factors reflecting the SOE, OSCE Communication and Professionalism, and OSCE Technical Skills. The Bayesian information criterion index favored the 2-factor model, with factors reflecting the SOE and the OSCE. In confirmatory item factor analysis, both models suggest moderate correlation between the SOE factor and the OSCE factor; the correlation was 0.49 (95% confidence interval [CI], 0.42-0.55) for the 3-factor model and 0.61 (95% CI, 0.54-0.64) for the 2-factor model. The factor loadings were lower for Technical Skills stations of the OSCE (ranging from 0.11 to 0.25) compared with those of the SOE and Communication and Professionalism stations of the OSCE (ranging from 0.36 to 0.50). CONCLUSIONS: The analyses provide evidence that the SOE and the OSCE measure distinct constructs, supporting the rationale for administering both components of the APPLIED Examination for initial certification in anesthesiology.

Abstract Prothrombin complex concentrate (PCC) administration has increased among cardiac surgery patients in recent years; however, use in LVAD implantation/exchange is not widespread due to the fear of thrombotic complications. The purpose of this study was to compare the clinical outcomes of patients undergoing LVAD implantation/exchange with intraoperative PCC administration versus traditional transfusion practices alone. Adult LVAD implants/exchanges at our institution between 2015 and 2018 were included. Patients were categorized as receiving intraoperative PCC or no‐PCC (traditional). The primary outcome was the need for allogenic transfusion and transfusion volume at 48 hours after initial intensive care unit (ICU) admission. Secondary outcomes included metrics of morbidity and mortality. A total of 160 patients (39 PCC, 121 traditional) were analyzed. In unadjusted analysis, patients in the PCC group received lower intraoperative transfusion volumes compared to the traditional group although not statistically significant (1464 mL [IQR 796, 4876] vs. 2568 mL [IQR 1292, 3606]; P value .37). In the fully adjusted analysis, patients in the PCC group had increased odds of transfusion within 48 hours of ICU admission (OR 4.06, 95% CI: 1.35‐12.20; P < .01); however, there was no significant difference in transfusion volumes ( P = .09). Patients receiving PCCs had higher incidence of deep vein thrombosis (10.3% vs. 0%; P < .01) and 30‐day mortality (17.9% vs. 4.1%; P < .01). LVAD pump thrombosis occurred in 2.6% versus 0.8% in the PCC and traditional groups, respectively; P = .98. Patients undergoing LVAD implantation and exchange represent a complex surgical cohort. The results of this study suggest that the intraoperative PCC use during LVAD implant/exchange was associated with reduced intraoperative transfusions. Intraoperative PCC use was, however, associated with higher odds of postoperative transfusion, although transfusion volumes were not significantly different. While the deep vein thrombosis and 30‐day mortality rates were higher in the PCC group, these results are likely related to the degree of surgical and patient complexity rather than PCC use itself. Further studies are needed to assess PCC use in this surgical cohort.

BACKGROUND: Anesthesiology residents’ experiences and perspectives about their programs may be helpful in improving training. The goals of this repeated cross-sectional survey study are to determine: (1) the most important factors residents consider in choosing an anesthesiology residency, (2) the aspects of the clinical base year that best prepare residents for anesthesia clinical training, and what could be improved, (3) whether residents are satisfied with their anesthesiology residency and what their primary struggles are, and (4) whether residents believe their residency prepares them for proficiency in the 6 Accreditation Council for Graduate Medical Education (ACGME) Core Competencies and for independent practice. METHODS: Anesthesiologists beginning their US residency training from 2013 to 2016 were invited to participate in anonymous, confidential, and voluntary self-administered online surveys. Resident cohort was defined by clinical anesthesia year 1, such that 9 survey administrations were included in this study—3 surveys for the 2013 and 2014 cohorts (clinical anesthesia years 1–3), 2 surveys for the 2015 cohort (clinical anesthesia years 1–2), and 1 survey for the 2016 cohort (clinical anesthesia year 1). RESULTS: The overall response rate was 36% (4707 responses to 12,929 invitations). On a 5-point Likert scale with 1 as “very unimportant” and 5 as “very important,” quality of clinical experience (4.7–4.8 among the cohorts) and departmental commitment to education (4.3–4.5) were rated as the most important factors in anesthesiologists’ choice of residency. Approximately 70% of first- and second-year residents agreed that their clinical base year prepared them well for anesthesiology residency, particularly clinical training experiences in critical care rotations, anesthesiology rotations, and surgery rotations/perioperative procedure management. Overall, residents were satisfied with their choice of anesthesiology specialty (4.4–4.5 on a 5-point scale among cohort-training levels) and their residency programs (4.0–4.1). The residency training experiences mostly met their expectations (3.8–4.0). Senior residents who reported any struggles highlighted academic more than interpersonal or technical difficulties. Senior residents generally agreed that the residency adequately prepared them for independent practice (4.1–4.4). Of the 6 ACGME Core Competencies, residents had the highest confidence in professionalism (4.7–4.9) and interpersonal and communication skills (4.6–4.8). Areas in residency that could be improved include the provision of an appropriate balance between education and service and allowance for sufficient time off to search and interview for a postresidency position. CONCLUSIONS: Anesthesiology residents in the United States indicated they most value quality of clinical training experiences and are generally satisfied with their choice of specialty and residency program.

BACKGROUND: A temporary decrease in anesthesiology residency graduates that occurred around the turn of the millennium may have workforce implications. The aims of this study are to describe, between 2005 and 2015, (1) demographic changes in the workforce of physicians trained as anesthesiologists; (2) national and state densities of these physicians, as well as temporal changes in the densities; and (3) retention of medical licenses by mid- and later-career anesthesiologists. METHODS: Using records from the American Board of Anesthesiology and state medical and osteopathic boards, the numbers of licensed physicians aged 30–59 years who had completed Accreditation Council for Graduate Medical Education–accredited anesthesiology residency training were calculated cross-sectionally for 2005, 2010, and 2015. Demographic trends were then described. Census data were used to calculate national and state densities of licensed physicians. Individual longitudinal data were used to describe retention of medical licenses among older physicians. RESULTS: The number of licensed physicians trained as anesthesiologists aged 30–59 years increased from 32,644 in 2005 to 36,543 in 2010 and 36,624 in 2015, representing a national density of 1.10, 1.18, and 1.14 per 10,000 population in those years, respectively. The density of anesthesiologists among states ranged from 0.37 to 3.10 per 10,000 population. The age distribution differed across the years. For example, anesthesiologists aged 40–49 years predominated in 2005 (47%), but by 2015, only 31% of anesthesiologists were aged 40–49 years. The proportion of female anesthesiologists grew from 22% in 2005, to 24% in 2010, and to 28% in 2015, particularly among early-career anesthesiologists. For anesthesiologists with licenses in 2005, the number who still had active licenses in 2015 decreased by 9.6% for those aged 45–49 years, by 14.1% for those aged 50–54 years, and by 19.7% for those aged 55–59 years. CONCLUSIONS: The temporary decrease in anesthesiology residency graduates around the turn of the 21st century decreased the proportion of anesthesiologists who were midcareer as of 2015. This may affect the future availability of senior leaders as well as the future overall workforce in the specialty as older anesthesiologists retire. National efforts to plan for workforce needs should recognize the geographical variability in the distribution of anesthesiologists.