Faculty Bibliography

The COVID-19 pandemic strained healthcare systems worldwide, delaying breast cancer screening and surgery. In 2019, approximately 80% of breast cancers in the U.S. were diagnosed on screening examinations, with 76.4% of eligible Medicare patients undergoing screening at least every two years. Since the start of the pandemic, many women have been reluctant to seek elective screening mammography, even with the lifting of pandemic-related restrictions in access to routine healthcare. We describe the effect of the COVID-19 pandemic on breast cancer presentation at a tertiary academic medical center greatly impacted by the pandemic.

BACKGROUND:With each succession along the surgical career pathway, from medical school to faculty, the percentage of those who identify as underrepresented in medicine (URiM) decreases. We sought to evaluate the demographic trend of surgical fellowship applicants, matriculants, and graduates over time. STUDY DESIGN:The Electronic Residency Application Service and the Graduate Medical Education Survey for general surgery fellowships in colorectal surgery, surgical oncology, pediatric surgery, thoracic surgery, and vascular surgery were retrospectively analyzed (2005 to 2020). The data were stratified by race and gender, descriptive statistics were performed, and time series were evaluated. Race/ethnicity groups included White, Asian, other, and URiM, which is defined as Black/African American, Hispanic/Latino(a), Alaskan or Hawaiian Native, and Native American. RESULTS:From 2005 to 2020, there were 5,357 Electronic Residency Application Service applicants, 4,559 matriculants, and 4,178 graduates to surgery fellowships. Whites, followed by Asians, represented the highest percentage of applicants (62.7% and 22.3%, respectively), matriculants (65.4% and 23.8% respectively), and graduates (65.4% and 24.0%, respectively). For URiMs, the applicants (13.4%), matriculants (9.1%), and graduates (9.1%) remained significantly low (p < 0.001). When stratified by both race and gender, only 4.6% of the applicants, 2.7% of matriculants, and 2.4% of graduates identified as both URiM and female compared to White female applicants (20.0%), matriculants (17.9%), and graduates (16.5%, p < 0.001). CONCLUSIONS:Significant disparities exist for URiMs in general surgery subspecialty fellowships. These results serve as a call to action to re-examine and improve the existing processes to increase the number of URiMs in the surgery subspecialty fellowship training pathway.

This study aims to assess the relationship between county-level fatal crash injuries and road environmental characteristics at all times of the day and during the rush and non-rush hour periods. We merged eleven-year (2010 - 2020) data from the Fatality Analysis Reporting System. The outcome variable was the county-level fatal crash injury counts. The predictor variables were measures of road types, junction types and work zone, and weather types. We tested the predictiveness of two nested negative binomial models and adjudged that a nested spatial negative binomial regression model outperformed the non-spatial negative binomial model. The median county crash mortality rates at all times of the day and during the rush and non-rush hour periods were 18.4, 7.7, and 10.4 per 100,000 population, respectively. Fatal crash injury rate ratios were significantly elevated on interstates and highways at all times of the day - rush and non-rush hour periods inclusive. Intersections, driveways, and ramps on highways were associated with elevated fatal crash injury rate ratios. Clusters of high fatal crash injury rates were observed in counties located in Montana, Nevada, Colorado, Kansas, New Mexico, Oklahoma, Texas, Arkansas, Mississippi, Alabama, Georgia, and Nevada. The built and natural road environment factors are associated with county-level fatal crash injuries during the rush and non-rush hour periods. Understanding the association of road environment characteristics and the cluster distribution of fatal crash injuries may inform areas in need of focused intervention.

OBJECTIVES/UNASSIGNED:The COVID-19 Healthcare Personnel Study is a longitudinal survey to assess the changing impact of the COVID-19 pandemic on the New York State health care workforce. We analyzed results from a follow-up survey of physicians, nurse practitioners, and physician assistants on the availability of equipment and personnel, work conditions, physical and mental health of participants, and impact of the pandemic on commitment to their profession. METHODS/UNASSIGNED:tests and odds ratios (ORs) using survey-adjusted generalized linear models controlling for age, sex, region of practice, and hospital versus non-hospital-based practice. RESULTS/UNASSIGNED:< .001). CONCLUSIONS/UNASSIGNED:Interventions such as decreasing the number of hours worked, ensuring health care professionals do not work directly with patients while ill, and addressing shortages of personal protective equipment can help address concerns of the health care workforce.

The American Society of Anesthesiologists Physical Status (ASA-PS) grade better risk stratifies geriatric trauma patients, but it is only reported in patients scheduled for surgery. The Charlson Comorbidity Index (CCI), however, is available for all patients. This study aims to create a crosswalk from the CCI to ASA-PS. Geriatric trauma cases, aged 55 years and older with both ASA-PS and CCI values (N = 4223), were used for the analysis. We assessed the relationship between CCI and ASA-PS, adjusting for age, sex, marital status, and body mass index. We reported the predicted probabilities and the receiver operating characteristics. A CCI of zero was highly predictive of ASA-PS grade 1 or 2, and a CCI of 1 or higher was highly predictive of ASA-PS grade 3 or 4. Additionally, while a CCI of 3 predicted ASA-PS grade 4, a CCI of 4 and higher exhibited greater accuracy in predicting ASA-PS grade 4. We created a formula that may accurately situate a geriatric trauma patient in the appropriate ASA-PS grade after adjusting for age, sex, marital status, and body mass index. In conclusion, ASA-PS grades can be predicted from CCI, and this may aid in generating more predictive trauma models.

INTRODUCTION:Tracheostomy in patients with COVID-19 is a controversial and difficult clinical decision. We hypothesized that a recently validated COVID-19 Severity Score (CSS) would be associated with survival in patients considered for tracheostomy. METHODS:We reviewed 77 mechanically ventilated COVID-19 patients evaluated for decision for percutaneous dilational tracheostomy (PDT) from March to June 2020 at a public tertiary care center. Decision for PDT was based on clinical judgment of the screening surgeons. The CSS was retrospectively calculated using mean biomarker values from admission to time of PDT consult. Our primary outcome was survival to discharge, and all patient charts were reviewed through August 31, 2021. ROC curve and Youden index were used to estimate an optimal cut-point for survival. RESULTS:The mean CSS for 42 survivors significantly differed from that of 35 nonsurvivors (CSS 52 versus 66, P = 0.003). The Youden index returned an optimal CSS of 55 (95% confidence interval 43-72), which was associated with a sensitivity of 0.8 and a specificity of 0.6. The median CSS was 40 (interquartile range 27, 49) in the lower CSS (<55) group and 72 (interquartile range 66, 93) in the high CSS (≥55 group). Eighty-seven percent of lower CSS patients underwent PDT, with 74% survival, whereas 61% of high CSS patients underwent PDT, with only 41% surviving. Patients with high CSS had 77% lower odds of survival (odds ratio = 0.2, 95% confidence interval 0.1-0.7). CONCLUSIONS:Higher CSS was associated with decreased survival in patients evaluated for PDT, with a score ≥55 predictive of mortality. The novel CSS may be a useful adjunct in determining which COVID-19 patients will benefit from tracheostomy. Further prospective validation of this tool is warranted.

BACKGROUND:Increased time to surgery (TTS) is associated with decreased survival in patients with breast cancer. In early 2020, elective surgeries were canceled to preserve resources for patients with coronavirus disease 2019 (COVID-19). This study attempts to measure the effect of mandated operating room shutdowns on TTS in patients with breast cancer. PATIENTS AND METHODS/METHODS:This multicenter retrospective study compares 51 patients diagnosed with breast cancer at four public hospitals from January to June 2020 with 353 patients diagnosed from January 2017 to June 2018. Demographics, tumor characteristics, treatment regimens, and TTS for patients were statistically compared using parametric, nonparametric, and Cox proportional hazards regression modeling. RESULTS:Across all centers, there was a non-statistically significant increase in median TTS from 59 days in the pre-COVID period to 65 days during COVID (p = 0.9). There was, however, meaningful variation across centers. At center A, the median TTS decreased from 57 to 51 days, center C's TTS decreased from 83 to 64 days, and in center D, TTS increased from 42 to 129 days. In a multivariable Cox proportional hazards model for the pre-COVID versus COVID period effect on TTS, center was an important confounding variable, with notable differences for centers C and D compared with the referent category of center A (p = 0.04, p = 0.006). CONCLUSION/CONCLUSIONS:Data suggest that, while mandated operating room shutdowns did not result in an overall statistically significant delay in TTS, there were important differences between centers, indicating that, even in a unified multicenter public hospital system, COVID-19 may have resulted in delayed and potentially disparate care.

OBJECTIVE:The aim of this study was to assess occupational circumstances associated with adverse mental health among health care workers during the COVID-19 pandemic. METHODS:A cross-sectional study examined responses to an on-line survey conducted among 2076 licensed health care workers during the first pandemic peak. Mental health (depression, anxiety, stress, and anger) was examined as a multivariate outcome for association with COVID-related occupational experiences. RESULTS:Odds of negative mental health were increased among those who worked directly with patients while sick themselves (adjusted odds ratio, 2.29; 95% confidence interval, 1.71-3.08) and were independently associated with working more hours than usual in the past 2 weeks, having family/friends who died due to COVID-19, having COVID-19 symptoms, and facing insufficiencies in personal protective equipment/other shortages. CONCLUSIONS:Occupational circumstances were associated with adverse mental health outcomes among health care workers during the COVID-19 pandemic, and some are potentially modifiable.