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.

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.

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.

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.

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.

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.

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.

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.

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.

How are you really feeling? A prospective evaluation of cognitive function following trauma.

BACKGROUND: Mild traumatic brain injury is associated with persistent cognitive difficulties. However, these symptoms may not be specific to the head injury itself. We sought to evaluate the prevalence of these symptoms in patients following trauma. METHODS: A prospective analysis of patients who were seen in the outpatient trauma clinic during a 20-month period and completed self-administered Rivermead Post-Concussion Symptoms Questionnaire was conducted. "Significant" difficulty with cognition was defined by two or more symptoms reported as severe or four or more symptoms reported as moderate. Head injury was defined as head Abbreviated Injury Scale (AIS) score greater than 0, including the diagnosis of concussion. Multivariable logistic regression was used to test associations between head injury, injury severity, sex, and age with significant cognitive difficulties, loss of work/school, and unmet physical, occupational, or psychological therapy needs. RESULTS: A total of 587 completed questionnaires were matched to trauma registry admissions (382 early, 111 mid, 86 late). The incidence of significant cognitive difficulties was 37% at less than 1 month, 40% at 1 month to 3 months, and 45% of patients at more than 3 months following injury. Head injury was not associated with increased odds for significant cognitive difficulties (adjusted odds ratio, 1.21; 95% confidence interval, 0.82-1.77; p = 0.3) There was no significant difference in symptoms in patients who carried a head injury diagnosis and those who did not. CONCLUSION: Cognitive problems occur frequently following injury even in the absence of a head injury diagnosis. Either mild traumatic brain injury is grossly underdiagnosed or these symptoms are not specific to postconcussive states and simply are the cognitive sequelae of traumatic injury. The reporting of moderate-to-severe symptoms suggests a need to better understand the effects of trauma on cognitive function and strongly suggests that services for these patients are badly needed to maximize cognitive function and return to preinjury quality of life. LEVEL OF EVIDENCE: Prognostic/epidemiologic study, level II.

The severity of disparity: increasing injury intensity accentuates disparate outcomes following trauma.

OBJECTIVE: Studies have shown disparities in mortality among racial groups and among those with differing insurance coverage. Our goal was to determine if injury severity affects these disparities. METHODS: We classified patients from the 2003-2008 National Trauma Data Banks suffering moderate to severe injuries into six groups based on race/ethnicity and insurance, stratifying by injury severity. Logistic regression compared odds of death between races-ethnicities/insurance groups within these strata. We adjusted for age, gender, Injury Severity Score, Glasgow Coma Scale motor component, hypotension, and mechanism of injury. RESULTS: Patients meeting inclusion criteria numbered 760,598. Disparities between races-ethnicities/insurance groups increased as injury severity worsened. Odds of death for uninsured Black patients compared with insured Whites increased from 1.82 among moderately injured patients to 3.14 among severely injured, hypotensive patients. A similar pattern was seen among uninsured Hispanic patients. CONCLUSIONS: Disparities in trauma mortality suffered by minority and uninsured patients, when compared with non-minority and insured patients, worsen with increasing injury.

Perioperative complications after live-donor hepatectomy.

Current studies of complications following donor hepatectomy may not be generalizable to all hospitals performing this procedure. To address this, live liver donors were identified in the Nationwide Inpatient Sample (2000-2008). Complications after donor hepatectomy were categorized using International Classification of Diseases, Ninth Revision codes and risk factors for complications were tested using logistic regression. Negative binomial regression models were used to estimate the increase in length of stay and hospital charge associated with complications. Among 555 donors (representing 2783 donors nationwide), 23% had 1 or more complications and 5% had a major complication. The most common complications were ileus (27%) and atelectasis (26%). No patient or hospital factors were associated with complications. Having any complication was associated with increased length of stay (incidence rate ratio, 1.36; 95% CI, 1.16-1.58; P < .001) and hospital charge (incidence rate ratio, 1.25; 95% CI, 1.09-1.44; P = .002). Approximately 25% of liver donors have complications immediately postoperatively but most are minor, lending support to current practices in live liver donation and donor selection.

Cancer risk after ABO-incompatible living-donor kidney transplantation.

BACKGROUND: Recipients of ABO-incompatible (ABOi) living-donor kidney transplants often undergo more intense immunosuppression than their ABO-compatible counterparts. It is unknown if this difference leads to higher cancer risk after transplantation. Single-center studies are too small and lack adequate duration of follow-up to answer this question. METHODS: We identified 318 ABOi recipients in the Transplant Cancer Match Study, a national linkage between the Scientific Registry of Transplant Recipients and population-based U.S. cancer registries. Seven cancers (non-Hodgkin lymphoma, Merkel cell carcinoma, gastric adenocarcinoma, hepatocellular carcinoma, thyroid cancer, pancreatic cancer, and testicular cancer) were identified among ABOi recipients. We then matched ABOi recipients to ABO-compatible controls by age, gender, race, human leukocyte antigen mismatch, retransplantation, and transplant year. RESULTS: There was no demonstrable association between ABOi and cancer in unadjusted (incidence rate ratio, 0.83; 95% confidence interval, 0.33-1.71; P=0.3) or matched control (incidence rate ratio, 0.99; 95% confidence interval, 0.38-2.23; P=0.5) analyses. CONCLUSION: To the extent that could be determined in this registry study, current desensitization protocols are not associated with increased risk of cancer after transplantation.