Faculty Bibliography

OBJECTIVE:Aggression from patients and families on health care providers (HCP) is common yet understudied. We measured its prevalence and impact on HCPs in inpatient and outpatient settings. METHODS:Four thousand six hundred seven HCPs employed by a community teaching hospital received an anonymous survey with results analyzed. RESULTS:Of 1609 HCPs (35%) completing the survey, 88% of inpatient staff reported experiencing different types of aggression compared to 82% in outpatient setting. Almost half did not report it to their supervisor. Younger staff were more likely to report abuse. Negative impacts on productivity and patient care were reported. A third of all responders' indicated negative effects on mental health. CONCLUSIONS:Despite negative impacts on staff wellbeing and productivity, patient/family aggression toward HCPs is highly prevalent and underreported. Our healthcare system needs measures to address staff security and wellness.

BACKGROUND:African American (AA) recipients of deceased-donor (DD) kidney transplants (KT) have shorter allograft survival than recipients of other ethnic groups. Reasons for this disparity encompass complex interactions between donors and recipients characteristics. METHODS:Outcomes from 3872 AA and 19,719 European American (EA) DDs who had one kidney transplanted in an AA recipient and one in an EA recipient were analyzed. Four donor/recipient pair groups (DRP) were studied, AA/AA, AA/EA, EA/AA, and EA/EA. Survival random forests and Cox proportional hazard models were fitted to rank and evaluate modifying effects of DRP on variables associated with allograft survival. These analyses sought to identify factors contributing to the observed disparities in transplant outcomes among AA and EA DDKT recipients. RESULTS:Transplant era, discharge serum creatinine, delayed graft function, and DRP were among the top predictors of allograft survival and mortality among DDKT recipients. Interaction effects between DRP with the kidney donor risk index and transplant era showed significant improvement in allograft survival over time in EA recipients. However, AA recipients appeared to have similar or poorer outcomes for DDKT performed after 2010 versus before 2001; allograft survival hazard ratios (95% CI) were 1.15 (0.74, 1.76) and 1.07 (0.8, 1.45) for AA/AA and EA/AA, compared to 0.62 (0.54, 0.71) and 0.5 (0.41, 0.62) for EA/EA and AA/EA DRP, respectively. Recipient mortality improved over time among all DRP, except unemployed AA/AAs. Relative to DDKT performed pre-2001, employed AA/AAs had HR = 0.37 (0.2, 0.69) versus 0.59 (0.31, 1.11) for unemployed AA/AA after 2010. CONCLUSION/CONCLUSIONS:Relative to DDKT performed before 2001, similar or worse overall DCAS was observed among AA/AAs, while EA/EAs experienced considerable improvement regardless of employment status, KDRI, and EPTS. AA recipients of an AA DDKT, especially if unemployed, had worse allograft survival and mortality and did not appear to benefit from advances in care over the past 20 years.

OBJECTIVE:To estimate difference in population-level glycemic control and the emergence of diabetes complications given a theoretical scenario in which non-White youth and young adults (YYA) with type 1 diabetes (T1D) receive and follow an equivalent distribution of diabetes treatment regimens as non-Hispanic White YYA. RESEARCH DESIGN AND METHODS/METHODS:) and the prevalence of diabetes complications for non-White YYA. RESULTS:< 0.05), although the low proportion of YYA who developed complications limited statistical power for risk estimations. CONCLUSIONS:Mathematically modeling an equalized distribution of T1D self-management tools and technology accounted for part of but not all disparities in glycemic control between non-White and White YYA, underscoring the complexity of race and ethnicity-based health inequity.

OBJECTIVE:To examine short-term mortality and cause of death among youth and young adults (YYAs) with youth-onset diabetes. RESEARCH DESIGN AND METHODS:We included 19,717 YYAs newly diagnosed with diabetes before 20 years of age from 1 January 2002 to 31 December 2015 enrolled in the SEARCH for Diabetes in Youth Study. Of these, 14,721 had type 1; 4,141 type 2; and 551 secondary and 304 other/unknown diabetes type. Cases were linked with the National Death Index through 31 December 2017. We calculated standardized mortality ratios (SMRs) and 95% CIs based on age, sex, and race/ethnicity for state and county population areas and examined underlying causes of death. RESULTS:< 0.001). SMRs were significantly higher for individuals with type 1 diabetes who were <20 years of age, non-Hispanic White and Hispanic, and female and for individuals with type 2 diabetes who were <25 years of age, from all race/ethnic minority groups, and from both sexes. CONCLUSIONS:Excess mortality was observed among YYAs for each type of diabetes with differences in risk associated with diabetes type, age, race/ethnicity, and sex. The root causes of excess mortality among YYAs with diabetes merit further study.

Background/UNASSIGNED:Patients on maintenance hemodialysis are particularly vulnerable to infection and hospitalization from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to immunocompromised patients and the clustering that occurs in outpatient dialysis units, the seroprevalence of COVID-19 antibodies in this population is unknown and has significant implications for public health. Also, little is known about their risk factors for hospitalization. Methods/UNASSIGNED:nasopharyngeal, real-time, reverse-transcriptase PCR (RT-PCR); SARS-CoV-2 IgG seropositivity; hospitalization; and mortality. Results/UNASSIGNED:<0.001) compared with those who tested negative. Higher positivity rates were also observed among those who took taxis and ambulettes to and from dialysis, compared with those who used personal transportation. Antibodies were detected in all of the patients with a positive PCR result who underwent serologic testing. Of those that were seropositive, 32% were asymptomatic. The hospitalization rate on the basis of either antibody or PCR positivity was 35%, with a hospital mortality rate of 33%. Aside from COPD, no other variables were more prevalent in patients who were hospitalized. Conclusions/UNASSIGNED:We observed significant differences in rates of COVID-19 infection within three outpatient dialysis units, with universal seroconversion. Among patients with ESKD, rates of asymptomatic infection appear to be high, as do hospitalization and mortality rates.

Background/Purpose: Critically ill patients with COVID-19 infection have a profound hypercoagulable state and can often develop thromboses in many different vascular beds. Given the presence of anti-phospholipid antibodies among COVID-19 patients reported previously, we hypothesized that poor outcomes and thrombosis could also be promoted by autoimmunity. In this retrospective case control analysis, we aimed to evaluate associations between aPL titers, clinical outcomes and mortality in hospitalized patients admitted with COVID-19 infection.
Method(s): We analyzed 138 electronic medical records of patients who were admitted to NYU Langone Hospital -Long Island between the months of March-April 2020 with findings of COVID-19 positivity via PCR and who had aPL titers determined. Patients with elevated titers of beta-2-Glycoprotein IgG, IgM, IgA and/or cardiolipin IgG, IgM, IgA were compared to those who were not elevated. Patients with positive lupus anticoagulant titers only were excluded due to prevalent use of anti-coagulation during this time. COVID-19 positive patients with aPL titers were assessed for clinical events (including DVT, PE, MI, CVA, extremity ischemia, skin ulcerations, visceral thrombosis and ocular and line occlusions) and mortality. The control group included patients that were negative for aPL antibody titers. Associations between Anti-Phospholipid (aPL) titer positivity and clinical events was assessed by Chi-square analysis using Fisher's exact test.
Result(s): The predominant aPL species that was noted in COVID-19 patients was anti-cardiolipin IgM. Of those patients with elevated antibody titers, cardiolipin IgM, IgG, IgA, and beta2GPI antibodies were prevalent at rates of 98.9%, 26.7%, 19.2%, and 16.5%, respectively. Multiple aPL isotypes were detected in several patients. There was a positive association between aPL positivity and elevations in IL-6, CRP, D-dimer, and LDH (P< 0.05). There was an increased incidence of clinical events in patients with COVID-19 and positive aPL titers (52/83 or 62%) compared to those who were aPL negative (32/55 or 58% ), however this association was not statistically significant. No significant association was detected between positive aPL titers and gender, age, or self-identified ethnicity. An increased incidence of ARDS and a rising serum creatinine was noted in the aPL positive group (P = 0.03 and P= 0.05 respectively). A significant increase in mortality was identified for the aPL positive group (P=0.01).
Conclusion(s): These findings suggest that aPL titers may provide insight into disease prognosis and outcome in hospitalized patients with COVID-19. Despite lack of significant association with discrete thrombotic events, association of aPL positivity with rising serum creatinine and ARDS suggest that aPL may contribute to end organ dysfunction through enhanced microthrombosis, resulting in increased mortality. (Figure Presented)

OBJECTIVE:To describe the experience of COVID-19 disease among chronically ventilated and nonventilated nursing home patients living in 3 separate nursing homes. DESIGN:Observational study of death, respiratory illness and COVID-19 polymerase chain reaction (PCR) results among residents and staff during nursing home outbreaks in 2020. SETTING AND PARTICIPANTS:93 chronically ventilated nursing home patients and 1151 nonventilated patients living among 3 separate nursing homes on Long Island, New York, as of March 15, 2020. Illness, PCR results, and antibody studies among staff are also reported. MEASUREMENTS:Data were collected on death rate among chronically ventilated and nonventilated patients between March 15 and May 15, 2020, compared to the same time in 2019; prevalence of PCR positivity among ventilated and nonventilated patients in 2020; reported illness, PCR positivity, and antibody among staff. RESULTS:Total numbers of deaths among chronically ventilated nursing home patients during this time frame were similar to the analogous period 1 year earlier (9 of 93 in 2020 vs 8 of 100 in 2019, P = .8), whereas deaths among nonventilated patients were greatly increased (214 of 1151 in 2020 vs 55 of 1189 in 2019, P < .001). No ventilated patient deaths were clinically judged to be COVID-19 related. No clusters of COVID-19 illness could be demonstrated among ventilated patients. Surveillance PCR testing of ventilator patients failed to reveal COVID-19 positivity (none of 84 ventilator patients vs 81 of 971 nonventilator patients, P < .002). Illness and evidence of COVID-19 infection was demonstrated among staff working both in nonventilator and in ventilator units. CONCLUSIONS AND IMPLICATIONS:COVID-19 infection resulted in illness and death among nonventilated nursing home residents as well as among staff. This was not observed among chronically ventilated patients. The mechanics of chronic ventilation appears to protect chronically ventilated patients from COVID-19 disease.

BACKGROUND:Disease surveillance of diabetes among youth has relied mainly upon manual chart review. However, increasingly available structured electronic health record (EHR) data have been shown to yield accurate determinations of diabetes status and type. Validated algorithms to determine date of diabetes diagnosis are lacking. The objective of this work is to validate two EHR-based algorithms to determine date of diagnosis of diabetes. METHODS:A rule-based ICD-10 algorithm identified youth with diabetes from structured EHR data over the period of 2009 through 2017 within three children's hospitals that participate in the SEARCH for Diabetes in Youth Study: Cincinnati Children's Hospital, Cincinnati, OH, Seattle Children's Hospital, Seattle, WA, and Children's Hospital Colorado, Denver, CO. Previous research and a multidisciplinary team informed the creation of two algorithms based upon structured EHR data to determine date of diagnosis among diabetes cases. An ICD-code algorithm was defined by the year of occurrence of a second ICD-9 or ICD-10 diabetes code. A multiple-criteria algorithm consisted of the year of first occurrence of any of the following: diabetes-related ICD code, elevated glucose, elevated HbA1c, or diabetes medication. We assessed algorithm performance by percent agreement with a gold standard date of diagnosis determined by chart review. RESULTS:Among 3777 cases, both algorithms demonstrated high agreement with true diagnosis year and differed in classification (p = 0.006): 86.5% agreement for the ICD code algorithm and 85.9% agreement for the multiple-criteria algorithm. Agreement was high for both type 1 and type 2 cases for the ICD code algorithm. Performance improved over time. CONCLUSIONS:Year of occurrence of the second ICD diabetes-related code in the EHR yields an accurate diagnosis date within these pediatric hospital systems. This may lead to increased efficiency and sustainability of surveillance methods for incidence of diabetes among youth.