Law Enforcement and Patient Privacy Among Survivors of Violence: A Nationwide Mixed-Methods Study.

INTRODUCTION: During the emergent treatment of violently injured patients, law enforcement (LE) officers and health care providers frequently interact. Both have duties to protect patient health, rights, and public health, however, the balance of these duties may feel at odds. The purpose of this study is to assess hospital-based violence intervention program (HVIP) representatives' experiences with LE officers among survivors of violence and the impact of hospital policies on interactions with LE officers. MATERIALS AND METHODS: A nationwide survey was distributed to the 35 HVIPs that form the Health Alliance for Violence Intervention. Data regarding respondent affiliation, programs, and perceptions of hospital policies outlining LE activity were collected. Follow-up video interviews were open coded and qualitatively analyzed using grounded theory. RESULTS: Respondents from 32 HVIPs completed the survey (91%), and 22 interviews (63%) were conducted. Common themes from interviews were: police-patient interactions; racism, bias, and victims' treatment as suspects; and training and education. Only 39% of respondents knew that policies existed and were familiar with them. Most representatives believed their hospitals' existing policies were inadequate, ineffective, or biased. Programs that reported good working relationships with LE officers offered insight on how their programs maintain these partnerships and work with LE officers towards a common goal. CONCLUSIONS: Unclear or inadequate policies relating to LE activity may jeopardize the health and privacy of violently injured patients. Primary areas identified for improvement include clarifying and revising hospital policies, education of staff and LE officers, and improved communication between health care providers and LE officers to better protect patient rights.

The Case for Integrating Medical-Legal Partnerships Into Trauma Care.

INTRODUCTION: Medical-legal needs are health-harming adverse social conditions with a legal remedy. Medical-legal partnerships in primary care settings have been proposed to address these needs for at-risk patients already seeking medical care. Our hypothesis is that trauma patients represent a unique population that may be more likely to have baseline medical-legal needs. METHODS: A trauma-specific medical-legal needs survey was developed. Adult trauma patients who were able to give consent and were admitted to our urban Level I hospital were surveyed. Medical-legal needs were tabulated from the surveys. Those patients in the top decile of medical-legal needs were categorized as having a High Burden of medical-legal needs. Multivariate logistic regression was used to identify those independent risk factors for having a High Burden of medical-legal needs. RESULTS: A total of 566 participants completed the survey (78.2% response rate). The mean number of medical-legal needs for our population was 2.5 (SD = 3.1). 73% of our respondents had at least one medical-legal need. The most common needs were Housing (n = 229, 40%) and Education/Employment (n = 223, 39%). Older age (aOR = 3.01, 95% CI 1.2-8.1, P = 0.02), being separated or divorced (aOR = 4.25, 95% CI 1.2-14.0, P = 0.02), self perceived poor health (aOR = 8.4, 95% CI 2.61-26.86, P < 0.001), penetrating mechanism of injury (aOR = 2.52, 95% CI 1.22-5.2, P = 0.01), and having been admitted to the hospital for a longer period of time (aOR = 5.48, 95% CI 1.55-19.4, P = 0.008) were all independently associated with a High Burden of medical-legal needs. CONCLUSIONS: Trauma patients have a high baseline burden of medical-legal needs. Medical-legal partnerships embedded in trauma teams may offer an innovative strategy to help address long-term health outcomes in a highly vulnerable population that would not otherwise have contact with the healthcare system.

Testing the efficacy of a hospital-based violence intervention programme: protocol and design.

INTRODUCTION: Hospital-based violence intervention programmes (HBVIPs) are a promising strategy to reduce trauma recidivism and promote safety among victims of violent injury. While previous studies have demonstrated cost-effectiveness and positive impact on the lives of victims, there are a number of key limitations in the study designs of this evidence base. This study seeks to address the methodological shortcomings of previous research, determine the efficacy of HBVIPs using a randomised control study design, and provide a better understanding of successful service allocation within an HBVIP. METHODS AND ANALYSIS: The current study is 1 of 12 demonstration projects being implemented around the country with the purpose of bolstering the ability to provide effective, culturally appropriate and trauma-informed services for boys and men harmed by violence. We propose a randomised control trial in which male victims of violence receive one of two interventions: treatment as usual versus enhanced services. The purpose is to determine which intervention leads to reductions in trauma recidivism over the period of 1 year from contact with the programme. Differences will also be monitored on measures of mental health, quality of life and attitudes towards violence. Analyses employed will include Kaplan-Meier analysis and Cox proportional hazards regression with death and recidivism being the outcomes of interest. ETHICS AND DISSEMINATION: Study procedures have been approved by the Institutional Review Boards of the University at Buffalo and four hospitals. Results will be submitted for publication in peer-reviewed journals.

Coronary Artery Disease Association With Arterial Calcifications on Routine Hand Radiographs.

PURPOSE: Arterial calcifications in the lower extremity, chest, and cardiac vessels have been linked to coronary artery disease (CAD). However, the relation between arterial calcifications observed on routine hand and upper-extremity radiographs and atherosclerosis has not been determined. This study examined whether arterial calcifications found on hand radiographs are associated with CAD. METHODS: A record review from a single institution identified 345 patients with both hand radiographs and CAD screening with cardiac stress testing or coronary angiography. Patients with chronic kidney disease, end-stage renal disease, or incomplete hand films were excluded. We reviewed x-rays for findings of arterial calcifications. Cardiac testing results were used to establish a baseline diagnosis of CAD. We made group comparisons and employed multivariable logistic regression to evaluate the association between upper-extremity calcification and CAD. RESULTS: A total of 210 patients met inclusion criteria: 155 with CAD and 55 without it. Mean age was 72 years, body mass index was 28.8, and 54% were male. Patients had comorbidities of hypertension (91%), hyperlipidemia (87%), diabetes (39%), cerebrovascular accident (9%), and a history of tobacco use (53%). Of 155 CAD patients, 67 had arterial calcifications on hand radiographs (43%), compared with 6 of 55 without it (11%). In a multivariable model controlling for sex, hyperlipidemia, and diabetes, the presence of arterial calcifications on hand plain films indicated a 6.2-fold increased odds of CAD. CONCLUSIONS: The current data demonstrate that arterial calcifications on hand radiographs are independently associated with CAD. This may represent an opportunity to the treating physician as a point of referral or investigation for underlying or occult CAD. TYPE OF STUDY/LEVEL OF EVIDENCE: Prevalence III.

Cumulative incidence of cancer after solid organ transplantation.

BACKGROUND: Solid organ transplantation recipients have elevated cancer incidence. Estimates of absolute cancer risk after transplantation can inform prevention and screening. METHODS: The Transplant Cancer Match Study links the US transplantation registry with 14 state/regional cancer registries. The authors used nonparametric competing risk methods to estimate the cumulative incidence of cancer after transplantation for 2 periods (1987-1999 and 2000-2008). For recipients from 2000 to 2008, the 5-year cumulative incidence, stratified by organ, sex, and age at transplantation, was estimated for 6 preventable or screen-detectable cancers. For comparison, the 5-year cumulative incidence was calculated for the same cancers in the general population at representative ages using Surveillance, Epidemiology, and End Results data. RESULTS: Among 164,156 recipients, 8520 incident cancers were identified. The absolute cancer risk was slightly higher for recipients during the period from 2000 to 2008 than during the period from 1987 to 1999 (5-year cumulative incidence: 4.4% vs. 4.2%; P = .006); this difference arose from the decreasing risk of competing events (5-year cumulative incidence of death, graft failure, or retransplantation: 26.6% vs. 31.9%; P < .001). From 2000 to 2008, the 5-year cumulative incidence of non-Hodgkin lymphoma was highest at extremes of age, especially in thoracic organ recipients (ages 0-34 years: range, 1.74%-3.28%; aged >50 years; range, 0.36%-2.22%). For recipients aged >50 years, the 5-year cumulative incidence was higher for colorectal cancer (range, 0.33%-1.94%) than for the general population at the recommended screening age (aged 50 years: range, 0.25%-0.33%). For recipients aged >50 years, the 5-year cumulative incidence was high for lung cancer among thoracic organ recipients (range, 1.16%-3.87%) and for kidney cancer among kidney recipients (range, 0.53%-0.84%). The 5-year cumulative incidence for prostate cancer and breast cancer was similar or lower in transplantation recipients than at the recommended ages of screening in the general population. CONCLUSIONS: Subgroups of transplantation recipients have a high absolute risk of some cancers and may benefit from targeted prevention or screening.

Timing of intracranial hypertension following severe traumatic brain injury.

BACKGROUND: We asked whether continuous intracranial pressure (ICP) monitoring data could provide objective measures of the degree and timing of intracranial hypertension (ICH) in the first week of neurotrauma critical care and whether such data could be linked to outcome. METHODS: We enrolled adult (>17 years old) patients admitted to our Level I trauma center within 6 h of severe TBI. ICP data were automatically captured and ICP 5-minute means were grouped into 12-hour time periods from admission (hour 0) to >7 days (hour 180). Means, maximum, percent time (% time), and pressure-times-time dose (PTD, mmHg h) of ICP >20 mmHg and >30 mmHg were calculated for each time period. RESULTS: From 2008 to 2010, we enrolled 191 patients. Only 2.1% had no episodes of ICH. The timing of maximum PTD20 was relatively equally distributed across the 15 time periods. Median ICP, PTD20, %time20, and %time30 were all significantly higher in the 84-180 h time period than the 0-84 h time period. Stratified by functional outcome, those with poor functional outcome had significantly more ICH in hours 84-180. Multivariate analysis revealed that, after 84 h of monitoring, every 5% increase in PTD20 was independently associated with 21% higher odds of having a poor functional outcome (adjusted odds ratio = 1.21, 95% CI 1.02-1.42, p = 0.03). CONCLUSIONS: Although early elevations in ICP occur, ICPs are the highest later in the hospital course than previously understood, and temporal patterns of ICP elevation are associated with functional outcome. Understanding this temporal nature of secondary insults has significant implications for management.

Law enforcement in the trauma bay: a survey of members of the American Academy for the Surgery of Trauma.

Background: Trauma patients frequently come into contact with law enforcement officers (LEOs) during the course of their medical care, but little is known about how LEO presence affects processes of care. We surveyed members of the American Association for the Surgery of Trauma (AAST) to assess their perspectives on frequency, circumstances, and implications of LEO presence in trauma bays nationwide. Methods: Survey items addressed respondents' experience with the frequency and context of LEO presence and their perspectives on the impact of LEO presence for patients, clinical care, and public safety. Respondent demographics, professional characteristics, and practice setting were collected. The survey was distributed electronically to AAST members in September and October of 2020. Responses were compared by participant age, gender, race, ethnicity, urban versus rural location using χ2 tests. Results: Of 234 respondents, 189 (80.7%) were attending surgeons, 169 (72.2%) identified as white, and 144 (61.5%) as male. 187 respondents (79.9%) observed LEO presence at least weekly. Respondents found LEO presence was most helpful for public safety, followed by clinical care, and then for patients. Older respondents rated LEO presence as helpful more often than younger respondents regarding the impact on patients, clinical care, and public safety (p<0.001 across all domains). When determining LEO access, respondents assessed severity of the patient's condition, the safety of emergency department staff, the safety of LEOs, and a patient's potential role as a threat to public safety. Conclusions: Respondents described a wide range of perspectives on the impact and consequence of LEO in the trauma bay, with little policy to guide interactions. The overlap of law enforcement and healthcare in the trauma bay deserves attention from institutional and professional policymakers to preserve patient safety and autonomy and patient-centered care. Level of evidence: IV, survey study.

Health Effects of Policing in Hospitals: a Narrative Review.

IMPORTANCE: Law enforcement activity, in the form of outside agencies or hospital security forces, is increasingly common in American healthcare. Little is known about the potential effects of this prevalent, modifiable exposure on hospital staff and patient health. This narrative review characterizes existing evidence on the direct and indirect health effects of law enforcement activity in hospitals. OBSERVATIONS: Law enforcement activity in hospitals can affect health outcomes through four mechanisms: (1) physical health effects related to workplace violence, restraint use, excessive force, and weapon use; (2) mental health effects involving perceptions of safety and psychological distress; (3) social effects related to the patient-provider relationship, mistrust, and bias and discrimination; and (4) legal and ethical considerations affecting overall well-being. CONCLUSIONS AND RELEVANCE: Unchecked law enforcement activity in hospitals may risk patient physical and mental health, reduce patient trust, result in bias and discrimination, and contribute to legal and ethical rights violations. Importantly, law enforcement activity in hospitals may also contribute to staff perceptions of safety. To fill knowledge gaps on the measurable impact of law enforcement activity in the hospital on staff and patients, hospitals should collect and publicly share robust data on law enforcement activity in their facilities, create and adopt patient-centered policies to ensure safety and protect patient health and privacy, and implement evidence-based interventions that safely reduce law enforcement involvement with patients.

Addressing Legal Needs as Violence Prevention: A National Survey of Legal Services Offered through Hospital-based Violence Intervention Programs.

Hospital-based violence intervention programs (HVIPs) provide comprehensive services to survivors of community violence to address social determinants of health (SDOH) as risks factors for future violence. Medical-legal partnerships (MLPs) integrate lawyers into health care teams to address SDOH through the application of the law. Despite shared purposes, it is unknown if HVIP-MLPs exist. We sought to quantify the existing landscape of legal services provided by HVIPs, identify HVIP-MLPs, and characterize barriers to formation. Surveys and interviews were conducted in 2020 with 35 HVIPs of the Health Alliance for Violence Intervention (HAVI) concerning civil legal services. Most HVIPs screened for civil legal needs though none had an official MLP. Common civil legal needs included housing, mental health, and education. Barriers included no memorandum of understanding, legal confusion, funding, and overwhelming need. In 2021, no HVIP-MLP partnerships existed within HAVI. Establishing HVIP-MLPs may further support survivors of violence and address health inequity.

Center-level factors and racial disparities in living donor kidney transplantation.

BACKGROUND: On average, African Americans attain living donor kidney transplantation (LDKT) at decreased rates compared with their non-African American counterparts. However, center-level variations in this disparity or the role of center-level factors is unknown. STUDY DESIGN: Observational cohort study. SETTING & PARTICIPANTS: 247,707 adults registered for first-time kidney transplants from 1995-2007 as reported by the Scientific Registry of Transplant Recipients. PREDICTORS: Patient-level factors (age, sex, body mass index, insurance status, education, blood type, and panel-reactive antibody level) were adjusted for in all models. The association of center-level characteristics (number of candidates, transplant volume, LDKT volume, median time to transplant, percentage of African American candidates, percentage of prelisted candidates, and percentage of LDKT) and degree of racial disparity in LDKT was quantified. OUTCOMES: Hierarchical multivariate logistic regression models were used to derive center-specific estimates of LDKT attainment in African American versus non-African American candidates. RESULTS: Racial parity was not seen at any of the 275 transplant centers in the United States. At centers with the least racial disparity, African Americans had 35% lower odds of receiving LDKT; at centers with the most disparity, African Americans had 76% lower odds. Higher percentages of African American candidates (interaction term, 0.86; P = 0.03) and prelisted candidates (interaction term, 0.80; P = 0.001) at a given center were associated with increased racial disparity at that center. Higher rates of LDKT (interaction term, 1.25; P < 0.001) were associated with less racial disparity. LIMITATIONS: Some patient-level factors are not captured, including a given patient's pool of potential donors. Geographic disparities in deceased donor availability might affect LDKT rates. Center-level policies and practices are not captured. CONCLUSIONS: Racial disparity in attainment of LDKT exists at every transplant center in the country. Centers with higher rates of LDKT attainment for all races had less disparity; these high-performing centers might provide insights into policies that might help address this disparity.

Compounding Trauma: the Intersections of Racism, Law Enforcement, and Injury.

Purpose of Review: Traumatic injury sits at the nexus of law enforcement and structural racism. This narrative review aims to explore the major impacts of law enforcement on health, its intersections with US structural racism, and their joint impacts on traumatic injury and injury care. Recent Findings: Many of the same forces of systemic disadvantage that put Black people, other people of color, and other marginalized groups at risk for violent injury also expose these same individuals and communities to intensive policing. Recent evidence speaks to the broad impact of police exposure and police violence on individual and community physical and mental health. Moreover, injured patients who are exposed to law enforcement during their care are at risk for erosion of trust in and relationships with their healthcare providers. To optimize the role of law enforcement agencies in injury prevention, collaboration across sectors and with communities is essential. Summary: A broad approach to the prevention of injury and violence must incorporate an understanding of the intersecting impacts of law enforcement and structural racism on health and traumatic injury. Clinicians who seek to provide trauma-informed injury care should incorporate an understanding of the role of law enforcement in individual and community health.

Effect of eliminating priority points for HLA-B matching on racial disparities in kidney transplant rates.

BACKGROUND: African Americans have lower rates of obtaining a deceased donor kidney transplant (DDKT) compared with their white counterparts. One proposed mechanism is differential HLA distributions between African Americans and whites. In May 2003, the United Network for Organ Sharing/Organ Procurement and Transplantation Network changed kidney allocation policy to eliminate priority based on HLA-B matching in an effort to address this disparity. The objective of this study was to quantify the effect of the change in policy regarding priority points for HLA-B matching. STUDY DESIGN: Observational cohort study. SETTING & PARTICIPANTS: A cohort of 178,902 patients registered for a DDKT between January 2000 and August 2009. FACTORS: African Americans versus whites before and after the policy change. Cox models were adjusted for age, sex, diabetes, dialysis type, insurance status, education, panel-reactive antibody level, and blood type. OUTCOMES: Adjusted relative rates (aRRs) of deceased donor kidney transplant for African Americans compared with whites. MEASUREMENTS: Time from initial active wait listing to DDKT, censored for living donor kidney transplant and death. RESULTS: Before the policy change, African Americans had 37% lower rates of DDKT (aRR, 0.63; 95% CI, 0.60-0.65; P < 0.001). After the policy change, African Americans had 23% lower rates of DDKT (aRR, 0.77; 95% CI, 0.76-0.79; P < 0.001). There was a 23% reduction in the disparity between African Americans and whites after the policy change (interaction aRR, 1.23; 95% CI, 1.18-1.29; P < 0.001). LIMITATIONS: As an observational study, findings could have been affected by residual confounding or other changes in practice patterns. CONCLUSIONS: Racial disparity in rates of DDKT was decreased by the HLA-B policy change, but parity was not achieved. There are unaddressed factors in kidney allocation that lead to continued disparity on the kidney transplant waiting list.

Trauma Transitional Care Coordination: protecting the most vulnerable trauma patients from hospital readmission.

BACKGROUND: Unplanned hospital readmissions increase healthcare costs and patient morbidity. We hypothesized that a program designed to reduce trauma readmissions would be effective. METHODS: A Trauma Transitional Care Coordination (TTCC) program was created to support patients at high risk for readmission. TTCC interventions included call to patient (or caregiver) within 72 hours of discharge to identify barriers to care, complete medication reconciliation, coordination of appointments, and individualized problem solving. Information on all 30-day readmissions was collected. 30-day readmission rates were compared with center-specific readmission rates and population-based, risk-adjusted rates of readmission using published benchmarks. RESULTS: 260 patients were enrolled in the TTCC program from January 2014 to September 2015. 30.8% (n=80) of enrollees were uninsured, 41.9% (n=109) reported current substance abuse, and 26.9% (n=70) had a current psychiatric diagnosis. 74.2% (n=193) attended outpatient trauma appointments within 14 days of discharge. 96.3% were successfully followed. Only 6.6% (n=16) of patients were readmitted in the first 30 days after discharge. This was significantly lower than both center-specific readmission rates before start of the program (6.6% vs. 11.3%, P=0.02) and recently published population-based trauma readmission rates (6.6% vs. 27%, P<0.001). DISCUSSION: A nursing-led TTCC program successfully followed patients and was associated with a significant decrease in 30-day readmission rates for patients with high-risk trauma. Targeted outpatient support for these most vulnerable patients can lead to better utilization of outpatient resources, increased patient satisfaction, and more consistent attainment of preinjury level of functioning or better. LEVEL OF EVIDENCE: Level IV.

Trauma transitional care coordination: A mature system at work.

BACKGROUND: We have previously demonstrated effectiveness of a Trauma Transitional Care Coordination (TTCC) Program in reducing 30-day readmission rates for trauma patients most at risk. With program maturation, we achieved improved readmission rates for specific patient populations. METHODS: TTCC is a nursing driven program that supports patients at high risk for 30-day readmission. The TTCC interventions include calls to patients within 72 hours of discharge, complete medication reconciliation, coordination of medical appointments, and individualized problem solving. Account IDs were used to link TTCC patients with the Health Services Cost Review Commission database to collect data on statewide unplanned 30-day readmissions. RESULTS: Four hundred seventy-five patients were enrolled in the TTCC program from January 2014 to September 2016. Only 10.5% (n = 50) of TTCC enrollees were privately insured, 54.5% had Medicaid (n = 259), and 13.5% had Medicare (n = 64). Seventy-three percent had Health Services Cost Review Commission severity of injury ratings of 3 or 4 (maximum severity of injury = 4). The most common All Patient Refined Diagnosis Related Groups for participants were: lower-extremity procedures (n = 67, 14%); extensive abdominal/thoracic procedures (n = 40, 8.4%); musculoskeletal procedures (n = 37, 7.8%); complicated tracheostomy and upper extremity procedures (n = 29 each, 6.1%); infectious disease complications (n = 14, 2.9%); major chest/respiratory trauma, major small and large bowel procedures and vascular procedures (n = 13 each, 2.7%). The TTCC participants with lower-extremity injury, complicated tracheostomy, and bowel procedures had 6-point reduction (10% vs. 16%, p = 0.05), 11-point reduction (13% vs. 24%, p = 0.05), and 16-point reduction (11% vs. 27%, p = 0.05) in 30-day readmission rates, respectively, compared to those without TTCC. CONCLUSION: Targeted outpatient support for high-risk patients can decrease 30-day readmission rates. As our TTCC program matured, we reduced 30-day readmission in patients with lower-extremity injury, complicated tracheostomy and bowel procedures. This represents over one million-dollar savings for the hospital per year through quality-based reimbursement. LEVEL OF EVIDENCE: Therapeutic/care management, level III.

Medicaid beneficiaries undergoing complex surgery at quality care centers: insights into the Affordable Care Act.

BACKGROUND: Medicaid beneficiaries do not have equal access to high-volume centers for complex surgical procedures. We hypothesize there is a large Medicaid Gap between those receiving emergency general vs complex surgery at the same hospital. METHODS: Using the Nationwide Inpatient Sample, 1998 to 2010, we identified high-volume pancreatectomy hospitals. We then compared the percentage of Medicaid patients receiving appendectomies vs pancreatectomies at these hospitals. Hospital characteristics associated with increased Medicaid Gap were evaluated using generalized estimating equation models. RESULTS: A total of 602 hospital-years of data from 289 high-volume pancreatectomy hospitals were included. Median percentages of Medicaid appendectomies and pancreatectomies were 12.1% (interquartile range: 5.8% to 19.8%) and 6.7% (interquartile range: 0% to 15.4%), respectively. Hospitals that performed greater than or equal to 40 pancreatic resections per year had higher odds of having significant Medicaid Gap (odds ratio 2.3, 95% confidence interval 1.1 to 5.0). CONCLUSIONS: Gaps exist between the percentages of Medicaid patients receiving emergency general surgery vs more complex surgical care at the same hospital and may be exaggerated in hospitals with very high volume of complex elective surgeries.

Association of antibody induction immunosuppression with cancer after kidney transplantation.

BACKGROUND: Induction immunosuppression is a mainstay of rejection prevention after transplantation. Studies have suggested a connection between antibody induction agents and cancer development, potentially limiting important immunosuppression protocols. METHODS: We used a linkage of U.S. transplantation data and cancer registries to explore the relationship between induction and cancer after transplantation. A total of 111,857 kidney recipients (1987-2009) in the Transplant Cancer Match Study, which links the Scientific Registry for Transplant Recipients and U.S. Cancer Registries, were included. Poisson regression models were used to estimate adjusted incidence rate ratios (aIRR) of non-Hodgkin lymphoma (NHL) and other cancers with increased incidence after transplantation (lung, colorectal, kidney, and thyroid cancers, plus melanoma). RESULTS: Two thousand seven hundred sixty-three cancers of interest were identified. Muromonab-CD3 was associated with increased NHL (aIRR, 1.37; 95% CI, 1.06-1.76). Alemtuzumab was associated with increased NHL (aIRR, 1.79; 95% CI, 1.02-3.14), colorectal cancer (aIRR, 2.46; 95% CI, 1.03-5.91), and thyroid cancer (aIRR, 3.37; 95% CI, 1.55-7.33). Polyclonal induction was associated with increased melanoma (aIRR, 1.50; 95% CI, 1.06-2.14). CONCLUSION: Our findings highlight the relative safety with regard to cancer risk of the most common induction therapies, the need for surveillance of patients treated with alemtuzumab, and the possible role for increased melanoma screening for those patients treated with polyclonal anti-T-cell induction.

Racial/ethnic disparities in emergency general surgery: explained by hospital-level characteristics?

BACKGROUND: To quantify racial/ethnic differences in outcome after emergency general surgery (EGS). METHODS: Patients receiving a representative EGS (colectomy, small bowel resection, or ulcer repair operation) performed within the first 24 hours of hospital admission were identified in the Nationwide Inpatient Sample between 2000 and 2008. Multivariable logistic regression was used to estimate the overall disparity in odds of death between African Americans (AAs) and Caucasians. Hierarchical models were then used to evaluate association of hospital-level factors and death after EGS. RESULTS: A total of 116,344 patients were identified. AA patients had 10% higher odds of dying after EGS than Caucasian patients (adjusted odds ratio 1.10, P = .02). All patients treated at hospitals with greater than 6% AA EGS patients had higher odds of death than those at hospitals with fewer percentage of AA EGS patients (adjusted odds ratio 1.16 to 1.42, P < .002). CONCLUSION: There is racial/ethnic disparity in outcome after selected EGS; however, this disparity is explained by hospital-level factors.

Center-level variation in the development of delayed graft function after deceased donor kidney transplantation.

BACKGROUND: Patient-level risk factors for delayed graft function (DGF) have been well described. However, the Organ Procurement and Transplantation Network definition of DGF is based on dialysis in the first week, which is subject to center-level practice patterns. It remains unclear if there are center-level differences in DGF and if measurable center characteristics can explain these differences. METHODS: Using the 2003 to 2012 Scientific Registry of Transplant Recipients data, we developed a hierarchical (multilevel) model to determine the association between center characteristics and DGF incidence after adjusting for known patient risk factors and to quantify residual variability across centers after adjustment for these factors. RESULTS: Of 82,143 deceased donor kidney transplant recipients, 27.0% developed DGF, with a range across centers of 3.2% to 63.3%. A center's proportion of preemptive transplants (odds ratio [OR], 0.83; per 5% increment; 95% confidence interval [95% CI], 0.74-;0.93; P = 0.001) and kidneys with longer than 30 hr of cold ischemia time (CIT) (OR, 0.95; per 5% increment; 95% CI, 0.92-;0.98; P = 0.001) were associated with less DGF. A center's proportion of donation after cardiac death donors (OR, 1.12; per 5% increment; 95% CI, 1.03-;1.17; P < 0.001) and imported kidneys (OR, 1.06; per 5% increment; 95% CI, 1.03-;1.10; P < 0.001) were associated with more DGF. After patient-level and center-level adjustments, only 41.8% of centers had DGF incidences consistent with the national median and 28.2% had incidences above the national median. CONCLUSION: Significant heterogeneity in DGF incidences across centers, even after adjusting for patient-level and center-level characteristics, calls into question the generalizability and validity of the current DGF definition. Enhanced understanding of center-level variability and improving the definition of DGF accordingly may improve DGF's utility in clinical care and as a surrogate endpoint in clinical trials.