Faculty Bibliography

BACKGROUND:Understanding how substance use is associated with severe crash injuries may inform emergency care preparedness. OBJECTIVES/OBJECTIVE:This study aims to assess the association of substance use and crash injury severity at all times of the day and during rush (6-9 AM; 3-7 PM) and non-rush-hours. Further, this study assesses the probabilities of occurrence of low acuity, emergent, and critical injuries associated with substance use. METHODS:Crash data were extracted from the 2019 National Emergency Medical Services Information System. The outcome variable was non-fatal crash injury, assessed on an ordinal scale: critical, emergent, low acuity. The predictor variable was the presence of substance use (alcohol or illicit drugs). Age, gender, injured part, revised trauma score, the location of the crash, the road user type, and the geographical region were included as potential confounders. Partially proportional ordinal logistic regression was used to assess the unadjusted and adjusted odds of critical and emergent injuries compared to low acuity injury. RESULTS:Substance use was associated with approximately two-fold adjusted odds of critical and emergent injuries compared to low acuity injury at all times of the day and during the rush and non-rush hours. Although the proportion of substance use was higher during the non-rush hour period, the interaction effect of rush hour and substance use resulted in higher odds of critical and emergent injuries compared to low acuity injury. CONCLUSION/CONCLUSIONS:Substance use is associated with increased odds of critical and emergent injury severity. Reducing substance use-related crash injuries may reduce adverse crash injuries.

INTRODUCTION/BACKGROUND:The COVID-19 Healthcare Personnel Study (CHPS) was designed to assess adverse short-term and long-term physical and mental health impacts of the coronavirus disease-2019 (COVID-19) pandemic on New York's physicians, nurse practitioners, and physician assistants. METHODS:Online population-based survey. Survey-weighted descriptive results, frequencies, proportions, and means, with 95% confidence intervals (95% CI). Odds ratios (ORs) for association. RESULTS:Over half (51.5%; 95% CI: 49.1, 54.0) of respondents worked directly with COVID-19 patients; 27.3% (95% CI: 22.5, 32.2) tested positive. The majority (57.6%; 95% CI: 55.2, 60.0) reported a negative impact on their mental health. Negative mental health was associated with COVID-19 symptoms (OR=1.7, 95% CI: 1.3, 2.1) and redeployment to unfamiliar functions (OR=1.3, 95% CI: 1.1, 1.6). CONCLUSIONS:A majority of New York health care providers treated COVID-19 patients and reported a negative impact on their mental health.

BACKGROUND:In the United States, New York State's health care system experienced unprecedented stress as an early epicenter of the coronavirus disease 2019 (COVID-19) pandemic. This study aims to assess the level of hopelessness in New York State physicians working on the frontlines during the first wave of the COVID-19 outbreak. METHODS:A confidential online survey sent to New York State health care workers by the state health commissioner's office was used to gather demographic and hopelessness data as captured by a brief Hopelessness Scale. Adjusted linear regression models were used to assess the associations of physician age, sex, and number of triage decisions made, with level of hopelessness. RESULTS:In total, 1330 physicians were included, of whom 684 were male (51.4%). Their average age was 52.4 years (SD=12.7), with the majority of respondents aged 50 years and older (55.2%). Almost half of the physician respondents (46.3%) worked directly with COVID-19 patients, and 163 (12.3%) were involved in COVID-19-related triage decisions. On adjusted analysis, physicians aged 40 to 49 years had significantly higher levels of hopelessness compared with those aged 50 years or more (μ=0.441, SD=0.152, P=0.004). Those involved in 1 to 5 COVID-19-related triage decisions had a significantly lower mean hopelessness score (μ=-0.572, SD=0.208, P=0.006) compared with physicians involved in none of these decisions. CONCLUSION/CONCLUSIONS:Self-reported hopelessness was significantly higher among physicians aged 40 to 49 years and those who had not yet been involved in a life or death triage decision. Further work is needed to identify strategies to support physicians at high risk for adverse mental health outcomes during public health emergencies such as the COVID-19 pandemic.

BACKGROUND:City-wide lockdowns and school closures have demonstrably impacted COVID-19 transmission. However, simulation studies have suggested an increased risk of COVID-19 related morbidity for older individuals inoculated by house-bound children. This study examines whether the March 2020 lockdown in New York City (NYC) was associated with higher COVID-19 hospitalization rates in neighborhoods with larger proportions of multigenerational households. METHODS:We obtained daily age-segmented COVID-19 hospitalization counts in each of 166 ZIP code tabulation areas (ZCTAs) in NYC. Using Bayesian Poisson regression models that account for spatiotemporal dependencies between ZCTAs, as well as socioeconomic risk factors, we conducted a difference-in-differences study amongst ZCTA-level hospitalization rates from February 23 to May 2, 2020. We compared ZCTAs in the lowest quartile of multigenerational housing to other quartiles before and after the lockdown. FINDINGS/RESULTS:Among individuals over 55 years, the lockdown was associated with higher COVID-19 hospitalization rates in ZCTAs with more multigenerational households. The greatest difference occurred three weeks after lockdown: Q2 vs. Q1: 54% increase (95% Bayesian credible intervals: 22-96%); Q3 vs. Q1: 48% (17-89%); Q4 vs. Q1: 66% (30-211%). After accounting for pandemic-related population shifts, a significant difference was observed only in Q4 ZCTAs: 37% (7-76%). INTERPRETATION/CONCLUSIONS:By increasing house-bound mixing across older and younger age groups, city-wide lockdown mandates imposed during the growth of COVID-19 cases may have inadvertently, but transiently, contributed to increased transmission in multigenerational households.

BACKGROUND:The COVID-19 pandemic overwhelmed New York City hospitals early in the pandemic. Shortages of ventilators and sedatives prompted tracheostomy earlier than recommended by professional societies. This study evaluates the impact of percutaneous dilational tracheostomy (PDT) in COVID+ patients on critical care capacity. METHODS:This is a single-institution prospective case series of mechanically ventilated COVID-19 patients undergoing PDT from April 1 to June 4, 2020 at a public tertiary care center. RESULTS:Fifty-five patients met PDT criteria and underwent PDT at a median of 13 days (IQR 10, 18) from intubation. Patient characteristics are found in Table 1. Intravenous midazolam, fentanyl, and cisatracurium equivalents were significantly reduced 48 hours post-PDT (Table 2). Thirty-five patients were transferred from the ICU and liberated from the ventilator. Median time from PDT to ventilator liberation and ICU discharge was 10 (IQR 4, 14) and 12 (IQR 8, 17) days, respectively. Decannulation occurred in 45.5% and 52.7% were discharged from acute inpatient care (Figure 1). Median follow-up for the study was 62 days. Four patients had bleeding complications postoperatively and 11 died during the study period. Older age was associated with increased odds of complication (OR 1.12, 95% CI 1.04, 1.23) and death (OR=1.15, 95% CI 1.05, 1.30). All operators tested negative for COVID-19 during the study period. CONCLUSION/CONCLUSIONS:These findings suggest COVID-19 patients undergoing tracheostomy within the standard time frame can improve critical care capacity in areas strained by the pandemic with low risk to operators. Long-term outcomes after PDT deserve further study.

BACKGROUND:The use of resuscitative endovascular balloon occlusion of the aorta (REBOA) is controversial. We hypothesize that REBOA outcomes are improved in centers with high REBOA utilization. METHODS:We examined the Aortic Occlusion in Resuscitation for Trauma and Acute Care Surgery registry over a 5-year period (2014-2018). Resuscitative endovascular balloon occlusion of the aorta outcomes were analyzed by stratifying institutions into low-volume (<10), average-volume (11-30), and high-volume (>30) deployment centers. A multivariable model adjusting for volume group, mechanism of injury, signs of life, systolic blood pressure at initiation, operator level, device type, zone of placement, and hemodynamic response to aortic occlusion was created to analyze REBOA mortality and REBOA-related complications. RESULTS:Four hundred ninety-five REBOA placements were included. High-volume centers accounted for 63%, while low accounted for 13%. High-volume institutions were more likely to place a REBOA in the emergency department (81% vs. 63% low volume, p = 0.003), had a lower mean systolic blood pressure at insertion (53 ± 38 vs. 64 ± 40, p = 0.001), and more Zone I deployments (64% vs. 55%, p = 0.002). Median time from admission to REBOA placement was significantly less in patients treated at high-volume centers (15 [7-30] minutes vs. 35 [20-65] minutes, p = 0.001). Resuscitative endovascular balloon occlusion of the aorta mortality was significantly higher at low-volume centers (67% vs. 57%; adjusted odds ratio, 1.29; adj p = 0.040), while average- and high-volume centers were similar. Resuscitative endovascular balloon occlusion of the aorta complications were less frequent at high-/average-volume centers, but did not reach statistical significance (adj p = 0.784). CONCLUSION:Resuscitative endovascular balloon occlusion of the aorta survival is increased at high versus low utilization centers. Increased experience with REBOA may be associated with earlier deployment and subsequently improved patient outcomes. LEVEL OF EVIDENCE:Therapeutic/Care Management, level IV.

Introduction: Tracheostomy in COVID-19 patients is a controversial and difficult clinical decision. A recent COVID-19 Severity Score (CSS) was validated to identify high-risk patients requiring hospitalization. We hypothesized that the CSS would be associated with survival in patients considered for tracheostomy.
Method(s): We reviewed 77 mechanically ventilated COVID-19 patients evaluated for percutaneous dilational tracheostomy (PDT) from March-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. Primary end point was survival to discharge. The Youden index identified an optimal CSS cut point for survival.
Result(s): Mean CSS for 42 survivors vs 35 nonsurvivors was significantly different (CSS 52 vs 66; p = 0.003). The Youden index returned an optimal CSS of 55 (area under the curve 0.7; 95% CI, 43 to 72). Median CSS was 40 (interquartile range 27 to 49) in the Low CSS (<55 group) and 72 (interquartile range 66 to 93) in the high CSS (>= 55) group (Fig. 1a). Eighty-seven percent of low CSS patients underwent PDT, with 74% survival, and 61% of high CSS patients underwent PDT with only 41% surviving (Fig. 1b). Patients with high CSS had 77% lower odds of survival (odds ratio 0.2; 95% CI, 0.1 to 0.7).
Conclusion(s): Higher CSS was associated with decreased survival to discharge in patients evaluated for PDT, with a score > 55 predictive of mortality. The novel CSS can be a useful adjunct in determining which COVID-19 patients will benefit from tracheostomy. Further prospective validation of this tool is warranted. [Formula presented]
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OBJECTIVES/OBJECTIVE:The role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households and COVID-19 in New York City (NYC). STUDY DESIGN/METHODS:Cohort study. METHODS:We conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as the proportion of the estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was an adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), the prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering. RESULTS: = 0.99, 95% CI: 0.99-1.00). CONCLUSIONS:Overcrowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of the surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.