Arrest Data Research Articles

Abstract 406: Texas Out of Hospital Cardiac Arrest Disparities for Rural Patient Care From Statewide Out-of-Hospital Cardiac Arrest Data Registry - The Texas Cares Project

Introduction: Out-of-hospital cardiac (OHCA) arrest victims from rural settings suffer worse outcomes. We evaluated the association between rural setting and post-arrest care and outcomes. Hypothesis: Receiving treatment for OHCA at a rural hospital will be associated with a lower rate of post OHCA care and lower rate of favorable neurologic outcomes (cerebral performance score 1 or 2). Methods: We performed a retrospective analysis of the Texas Cardiac Arrest Registry to Enhance Survival (CARES) from 2014-2021. We included adult OHCAs not listed as DNR. We defined hospital urbanicity as the proportion of OHCAs originating from rural census tracts. We defined hospitals as rural if more than 25% of included OHCAs were rural. We evaluated the association between rural hospital status and patient and prehospital care characteristics - age, race, initial rhythm, response time, bystander CPR - and hospital care characteristics - targeted temperature management (TTM) and percutaneous coronary intervention (PCI) rates. We evaluated the association between rural hospital status and favorable neurological outcomes with logistic regression, adjusted for patient and prehospital factors, hospital care, and census tract median household income. Results: We included 31,569 encounters with OHCA at 161 unique hospitals. The rural hospital group included 1,213 OHCA encounters (3.8%) at 25 hospitals (15.5%). Patient factors between groups were similar other than a higher rate of white patients in the rural group. Rates of angiography (16.1% non rural, 17.1% rural), PCI (8.2%, 8.7%), and TTM (30.6%,34.7%) were not statistically different. Treatment at rural hospitals was not associated with a statistically significant decreased odds of good neurological outcome (aOR 1.02, 95%ci 0.83-1.24). Conclusion: Treatment for OHCA at rural hospitals was not associated with a lower rate of post OHCA care or lower rate of favorable neurologic outcome

Abstract 348: Machine Learning Approaches for Early Outcome Risk Stratification Within 6 Hours of Cardiac Arrest

Background: Formal prognostication should be delayed at least 72 hours after cardiac arrest, but early stratification of risk severity provides important information for medical decision making, research enrollment, and precision medicine. Hypothesis: EEG-derived indices are valid biomarkers of severity of injury after cardiac arrest and contribute to early identification of risk. Aims: To assess the relative impact of early clinical data and processed EEG indices in the first 6 hours after recovery of spontaneous circulation (ROSC). Methods: Data from the first 6 hours after ROSC in the International Cardiac Arrest Registry (INTCAR) from Maine Medical Center including demographics, cardiac arrest data, admission vital signs and laboratory results and processed EEG indices at 6 hours after ROSC (bispectral index or BIS6 and suppression ratio or SR6) were extracted. Cerebral Performance Category (CPC) scores at hospital discharge and 6-month follow-up were dichotomized into good (CPC = 1-2) and poor (CPC = 3-5) outcomes. Three models were trained, one with INTCAR data, a second with EEG data, and the third combining INTCAR and BIS6-SR6. Six machine learning algorithms were applied: Catboost, random forest, Xgboost, Adaboost, support vector machine and logistic regression. Variable importance was analyzed by the decrease of impurity of random forest. Results: Among 913 included patients, median age was 59 years (95%CI 23-85), 623 (68%) were male, initial rhythm was shockable in 405 (44%) patients, and average time to ROSC was 23 (95%CI 3 - 73) minutes. Survival to hospital discharge occurred in 41% (364/893), and poor outcome occurred in 72.7% at 6-month follow-up (607/835). For CPC at discharge, area-under-the curve (AUC) was 0.85 for the combined INTCAR and EEG data, greater than INTCAR (AUC = 0.80) or EEG (AUC = 0.77). For the CPC at follow-up, the AUC was 0.88 for the combined data, greater than INTCAR (AUC = 0.83) or EEG (AUC = 0.79). Variable ranking analysis showed that BIS6 and SR6 were the two most informative features for both outcomes. Conclusions: The processed EEG variables BIS6 and SR6 significantly contribute to risk identification in the first 6 hours after ROSC, and combined with early clinical data provide reliable risk stratification.

British Army intelligence in provincial Ireland, 1919‒1921: organisation, outcomes and the 6th Division blacklist

AbstractIntelligence played a critical role in the Irish War of Independence, though debate remains about the effectiveness of British information-gathering. Historians have focused largely on the intelligence war in Dublin. This article examines British Army intelligence in the 6th Division area (roughly the southern third of the island). It will contextualise British military intelligence before the conflict and traces the slow development of an intelligence organisation in the 6th Division. It then considers the sources and nature of British information gathering, particularly interrogation of prisoners and the collection and analysis of captured documents. Military intelligence summaries and a ‘Blacklist’ of I.R.A. suspects across the 6th Division are used to ascertain the quality of military intelligence products during the final stages of the conflict. The ‘Blacklist’ can be contrasted with I.R.A. unit arrest data and leadership lists, to assess the effectiveness of British military intelligence at a county level. This comparison provides a new measure of British performance, clearly revealing the limitations of British military intelligence in the 6th Division, particularly when compared to relatively more successful results achieved by crown forces in the Dublin District.

Association of Real-Time Feedback and Cardiopulmonary-Resuscitation Quality Delivered by Ambulance Personnel for Out-of-Hospital Cardiac Arrest.

Background High-quality cardiopulmonary resuscitation (CPR) is associated with improved survival from out-of-hospital cardiac arrest and includes chest compression depth, chest compression rate, and chest compression fraction within international guideline recommendations. Previous studies have demonstrated divergent results of real-time feedback on CPR performance and patient outcomes. This study investigated the association between emergency medical service CPR quality and real-time CPR feedback for out-of-hospital cardiac arrest. Methods and Results This study collected out-of-hospital cardiac arrest data within the Capital Region of Denmark and compared CPR quality delivered by ambulance personnel. Data were collected in 2 consecutive phases from October 2018 to February 2020. Median chest compression depth was 6.0 cm (no feedback) and 5.9 cm (real-time feedback) (P=0.852). Corresponding proportion of guideline-compliant chest compressions for depth was 16.6% and 28.7%, respectively (P<0.001). Median chest compression rate per minute was 111 and 109 (P<0.001), respectively. Corresponding guideline adherence proportion for compression rate was 65.4% compared with 80.4% (P<0.001), respectively. Chest compression fraction was 78.9% compared with 81.9% (P<0.001), respectively. The combination of guideline-compliant chest compression depth and chest compression rate simultaneously was 8.5% (no feedback) versus 18.8% (feedback) (P<0.001). Improvements were not significant for return of spontaneous circulation (odds ratio [OR], 1.08 [95% CI, 0.84-1.39]), sustained return of spontaneous circulation (OR, 1.00 [95% CI, 0.77-1.31]), or survival to hospital discharge (OR, 0.91 [95% CI, 0.64-1.30]). Conclusions Real-time feedback was associated with improved guideline compliance for chest compression depth, rate, and fraction but not return of spontaneous circulation, sustained return of spontaneous circulation, or survival to hospital discharge. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT04152252.

Crimes committed by recent immigrants: Characteristics and community patterns

The notion persists that recent immigrants commit substantively more serious crimes than citizens, but prior research has only used aggregate-level data or youth-focused samples. We address this gap using individual-level 2017 crime arrest data from the Houston Police Department (HPD) that include citizenship, supplemented by Houston Super Neighborhoods data and American Community Survey estimates. We conduct bivariate and multilevel multinomial analyses to compare crime characteristics and neighborhood-level influences on offending by citizenship, finding that non-U.S. citizen arrestees were less likely to have been arrested for felonies, drug crimes, and Part I property crimes than U.S. citizen arrestees. An exploration of neighborhood contextual influences and interaction effects reveals further nuances. Directions for future research and implications for evidence-based policy are discussed.

An Analysis of Costs and Solutions to High Recidivism Rates in Florida

Recidivism affects a significant portion of convicted offenders. It represents the culmination of many factors like social isolation, a lack of work opportunities, and drug abuse. This project evaluates the risks and costs of recidivism in Florida's correctional facilities in terms of the physical cost of incarceration and the social cost that imprisonment has on communities. We derive and analyze data from six main sources: past recidivism trends from the Florida Department of Corrections, data of police employment, data of median income data, drug arrest data, and data of unemployment trends. We then evaluate the feasibility of measures involving drug rehabilitation, educational programs, police employment increases to discourage recidivism and facilitate reentry into society by using symbolic regression to calculate future trends. The R-squared values ranged from 65.4% to 97.3%. A primary component analysis (PCA) was performed with post hoc Kaiser–Meyer–Olkin, which yielded a value &lt; 0.6, and Bartlett’s Sphericity, which yielded a value &lt;&lt;&lt; 0.0001, tests, suggesting a substantial correlation. A Monte Carlo analysis was then performed to predict the total instances of recidivism through 2024. This research showed that increasing police efficiency and investing in drug rehabilitation services should be prioritized by the state of Florida.

Utstein-Based Analysis of Out-of-Hospital Cardiac Arrest OnzeLieve-Vrouw Hospital Aalst, Belgium

Introduction: We provide the out-of-hospital cardiac arrest (OHCA) data from January 1, 2015 up to December 31, 2019 from Onze-Lieve-Vrouw Hospital Aalst (OLVA), Belgium. Methods: We enrolled all the OHCA cases served by the mobile urgence group of OLVA. The four subgroups were composed as follow: “shockable and bystander witnessed”, “shockable and non-bystander witnessed, “non-shockable and bystander witnessed” and “non-shockable and non-bystander witnessed. Results: There were 568 confirmed OHCA cases of which 69 where suicides. Resuscitation was attempted in 328 cases. Witnessed arrest happened in 137 cases, bystander cardio-pulmonary resuscitation (CPR) was performed in 98 cases of which phone CPR was started in 41 cases. First monitored rhythm was asystole in 221 cases, pulseless electrical activity in 53 cases, ventricular fibrillation in 36 cases and pulseless ventricular tachycardia in 3 cases. Pathogenesis was medical in 430 cases, traumatic in 53 cases, drug overdose in 6 cases, drowning in 9 cases, electrocution in 2 cases and asphyxia in 63 cases. 103 patients reached the hospital of which 2 died at arrival. 28 patients survived to discharge and 26 patients survived 12 months. Discussion: There was no significant difference in the different Utstein subgroups between death on street after advanced life support started and also at hospital discharge. Only once a public AED was used, this was at a school after an electrocution. It is important to have sufficient AED’s in public spaces and to train the population. The telephone operators recognized phone CPR started in Belgium in 2011, not every arrest. (Ethics committee 2819-MA-1002).

ECPR Survivor Estimates: a simulation-based approach to comparing ECPR delivery strategies

Objective The number of out-of-hospital cardiac arrest (OHCA) patients who may benefit from prehospital extracorporeal cardiopulmonary resuscitation (ECPR) is yet to be elucidated. Patient eligibility is determined both by case characteristics and physical proximity to an ECPR service. We applied accessibility principles to historical cardiac arrest data, to identify the number of patients who would have been eligible for prehospital ECPR in Sydney, Australia, and the potential survival benefit had prehospital ECPR been available. METHODS The New South Wales cardiac arrest registry between January 2017 to June 2021 included 39,387 cardiac arrests. We retrospectively defined two groups: 1) possible ECPR eligible arrests that would have triggered activation of a team, and 2) ECPR eligible arrests, those arrests that met ECPR inclusion criteria and remained refractory. Transport accessibility modelling was used to ascertain the number of arrests that would have been served by a hypothetical prehospital service and the potential survival benefit. RESULTS There were 699 arrests screened as possibly ECPR eligible in the Sydney metropolitan area, 488 of whom were subsequently confirmed as ECPR eligible refractory OHCA. Of these, 38% (n =185) received intra-arrest transfer to hospital, with 37% (n = 180) arriving within 60 minutes. Using spatial and transport modelling, a prehospital team located at an optimal location could establish 437 (90%) patients onto ECMO within 60 minutes, with an estimated survival of 48% (IQR 38-57). Based on existing survival curves, compared to conventional CPR, an optimally located prehospital ECPR service has the potential to save one additional life for every 3.0 patients. CONCLUSIONS A significant number of historical OHCA patients could have benefited from prehospital ECPR, with a potential survival benefit above conventional CPR.

SHOCK3: Comparing Veno-arterial Extracorpeal Membrane Oxygenation (VA-ECMO) vs. VA-ECMO plus Impella (ECPELLA) on Mortality in Patients with Cardiac Arrest After an Acute Myocardial Infarction (AMI)

Background: More than 800,000 people suffer from an AMI in the United States every year. One of the most feared complications of an AMI is cardiac arrest, and even if return of spontaneous circulation is achieved, profound cardiogenic shock (CS) is a common sequalae. VA-ECMO is utilized to support patients with CS, and now more frequently, used in conjunction with an Impella to off-load the left ventricle, though a paucity of evidence supports this practice. The goal of this study was to determine whether a mortality difference was observed in VA-ECMO alone vs ECPELLA in patients with CS after cardiac arrest secondary to an AMI. Methods: A dual-center, retrospective chart review of 52 patients who suffered cardiac arrest from an AMI and were supported with VA-ECMO or ECPELLA was performed. Univariable comparisons consisting of baseline demographics, cardiac arrest data, catheterization laboratory reports and intensive care unit (ICU) data were compared between the two groups using chi-squared analysis, independent t-test, and Wilcoxon Rank Sum Test to determine statistical significance. Cox proportional hazard models were constructed to test the independent association between treatment groups and mortality, controlling for various acute physiology and post-cardiac arrest prognostic scores. Results: Thirty-four patients received VA-ECMO only, and 16 patients were supported with an ECPELLA strategy. Ninety-day mortality was 67.6% in the VA-ECMO group, and 87.5% in the ECPELLA group. There was no statistically significant difference between the groups within regards to mortality (Hazard Ratio (HR): 1.69, 95% confidence interval 0.86-3.30). This remained true even when adjusting for the following validated prognostic scores: Simplified Acute Physiology Score II (SAPS), Survival after veno-arterial ECMO (SAVE), modified SAVE, Cardshock, and Charlson Comorbidity index. There we no differences in baseline demographic data nor ICU complications between the groups. Patients who experienced a ST elevated myocardial infarction (STEMI) were more likely to be in the VA-ECMO group rather than the ECPELLA group (p=0.044). Conclusion: Our results found no significant differences in mortality in patients with CS after cardiac arrest secondary to an AMI when treated with VA-ECMO vs ECPELLA. It should be highlighted that the study population was only 52 patients, thus the power of the study was significantly limited. Therefore, more experience and broader collaboration/data sharing is needed to identify if ECPELLA is a beneficial acute cardiac support strategy in this patient population.Figure 1. VA-ECMO vs ECPELLA Survival Curve

How Can Out-of-Hospital Cardiac Arrest (OHCA) Data Collection in Slovenia Be Improved?

Background and Objectives: The prevalence of out-of-hospital cardiac arrest (OHCA) has been established as a significant contributor to mortality rates in developed nations. Due to the challenges associated with conducting controlled randomized trials, there exists a necessity for the collection of high-quality data to enhance the comprehension of the impact of interventions. Several nations have initiated efforts to gather information pertaining to out-of-hospital cardiac arrest (OHCA). The Republic of Slovenia has been collecting data from interventions; however, the variables and data attributes have not yet been standardized to comply with international standards. This lack of conformity poses a challenge in making comparisons or drawing inferences. The aim of this study is to identify how to better gather OHCA data in Slovenia. Materials and methods: The Utstein resuscitation registry protocol (UP) was compared to the Slovenian data points that must be gathered in accordance with the Rules on Emergency Medical Service (REMS) during interventions. In addition, we have proposed alternative measures of digitization to enhance pre-hospital data. Results: Missing data points and attribute mismatches were detected in Slovenia. Eight data points necessitated by the UP are gathered in several databases (hospitals, the National Institute of Public Health, dispatch services, intervention reports from first responders, and defibrillator files), but not in the mandated protocols based on REMS. Two data points have variables that do not match those of the UP. A total of 16 data points according to UP are currently not being collected in Slovenia. The advantages and potential drawbacks of digitizing emergency medical services have been discussed. Conclusions: The study has identified gaps in the methods employed for collecting data on OHCA in Slovenia. The assessment conducted serves as a basis for enhancing the process of data collection, integrating quality control measures across the nation, and establishing a nationwide registry for out-of-hospital cardiac arrest (OHCA) in Slovenia.

Doing Gender, Avoiding Crime: The Gendered Meaning of Criminal Behavior and the Gender Gap in Offending in the United States

Men are overrepresented in criminal offending, arrest, and incarceration rates, resulting in a gender gap in crime data. I use the mathematical structure and propositions of affect control theory to understand how the symbolic meanings society holds for gender and crime relate to this observed difference in women’s and men’s offending. While criminal behaviors are deviant for both men and women, I hypothesize that they produce even more deflection when enacted by a woman actor than by a man actor in computer simulations. This first hypothesis is supported in a dataset containing 109 criminal behaviors drawn from three affect control theory dictionaries collected in English in the United States in 1998, 2002 to 2004, and 2012 to 2014. Second, I hypothesize that when a crime produces a greater gender gap in deflection in simulations, there will be a greater observed gender gap in alleged offending. I test this hypothesis using four sources of crime data: victim self-reports, police reports, arrest data, and juvenile court statistics. I find hypothesis support using all data sources except victim self-reports. Affect control theory provides an explicit social psychological understanding of how gendered meanings of behavior translate into criminal behavior as recorded in offending data (e.g., Uniform Crime Report).

A tale of two cities: Racialized arrests following decriminalization and recreational legalization of cannabis

BackgroundIn the U.S., “War on Drugs” policies have led to large and unequal increases in arrests among particularly of Black/African American men. The change in the legal status of cannabis may reduce the racial disparity in arrests. We examined the impact of changing legal status on arrest disparities. MethodsWe obtained publicly available deidentified cannabis arrest data from the District of Columbia (D.C.) Metropolitan Police Department (2012–2019) and Los Angeles (L.A.) Police Department (2010–2019). We examined the differences in average monthly cannabis arrest rates for each city and each outcome (possession, possession with intent to distribute, distribution, and public consumption) across racial groups. ResultsFor both D.C. and L.A. following changes in the legal status of cannabis, we saw a decrease of the absolute disparity in possession-related arrests. There was also a reduction in D.C. for the relative disparity, but there was an increase in the relative disparity in L.A. In both cities, there was an emergence of public consumption-arrests. In D.C., there was an absolute increase of 4.0 (SD=2.5) more arrests per-month for Black people than white people and a relative increase of 9.1 (SD=1.5). In L.A., absolute disparity of 0.6(SD=1.3) and a relative disparity of 6.7 (SD=2.0). ConclusionsThere was a reduction in the absolute arrest disparity for cannabis-related possession arrests following decriminalization and legalization in both D.C and L.A. However, we saw the emergence of arrests for public consumption. This emergence of possession arrests towards public consumptions arrests, underscores the need to examine arrests beyond possession.

Serum Hemoglobin and Potassium Levels in Sudden Cardiac Death at Hemodialysis Center of Aziz Bhatti Hospital Gujrat

Background: Sudden cardiac arrest has become a serious pandemic and a substantial public health burden. Significant morbidity and death are linked to it. Hemodialysis is considerably a heavy burden on cardiac patients. A sudden cardiac arrest is sometimes a disastrous event that happens without warning and is regrettably a significant cardiac disease manifestation in individuals surviving on kidney dialysis. Aim: To determine Serum Hemoglobin and potassium levels in sudden cardiac death patients admitted in hemodialysis center of Aziz Bhatti Shaheed Teaching Hospital Gujrat. Study Design: Cross-Sectional Study Methodology: This research study was conducted at the hemodialysis center of Aziz Bhatti Shaheed Teaching Hospital Gujrat. The Ethics Committee approved to conduct of this descriptive cross-sectional study on 40 (20 males and 20 females) sudden cardiac patients. All information and the goal of the research project were explained to patients or their relatives before the collection of blood serum. Prescription drug lists, smoking histories, and medication or dialysis report data were randomly evaluated. Laboratory results from recent month were collected, together with dialysis run sheets and cardiac arrest data forms. Results: Results of this result study showed that the mean value of age was 50 years with a mean standard deviation of 15.1 (p= &lt;0.001). The mean BMI (kg/m2) was estimated as 26.8 with a mean standard deviation value of 2.6 (p= 0.01). Almost 21.6% of male patients were smokers and overall 36.1% were associated with cardiac arrest due to coronary artery disease. Systolic blood pressure (mmHg) was 165 (95% CI of 117-140) (p= &lt;0.001), diastolic blood pressure (mm Hg) was 89 ( 95% CI of 64-72) (p= &lt;0.001), hemoglobin level was 0.73 (95% CI of 0.70-0.76) (p= &lt;0.001), Hemoglobin A1 c was 6.4% (95% CI of 5.8-7.6) (p= &lt;0.001), Urea was 56 (95% CI of 41-79) (p= &lt;0.001), and estimated glomerulus filtration rate (mL/min per 1.73mm2 ) was 1.16 (1.10-1.22) in sudden cardiac patients with low K (serum &lt;4.0mmole/L). For the sudden cardiac patients with higher K level (serum &gt;4.0mmole/L) showed that there was a significant change in the estimated values i.e. estimated glomerular filtration rate (mL/min per 1.73 mm2) was 0.67 (95% CI of 0.54-0.58) (p=&lt;0.01). The practical implication of this research study suggests that the higher proportion of cardiac patients were reported higher concentration of K level serum. For diagnosis purposes K-level was directly associated with the cardiac disease progression. Conclusion: Hemodialysis patients with sudden cardiac arrest had reported very low concentrations of potassium levels. Dialysate prescriptions should be continuously reviewed and changed, especially after hospitalization in high-risk patients, to lower the risk of adverse cardiac events during hemodialysis. It was suggested that in the high-normal range of serum potassium seems to be safe and is linked to better outcomes. Keywords: Sudden cardiac arrest, Hemodialysis, serum potassium level, Hemoglobin

Risk, race, and predictive policing: A critical race theory analysis of the strategic subject list.

Predictive policing is a tool used increasingly by police departments that may exacerbate entrenched racial/ethnic disparities in the Prison Industrial Complex (PIC). Using a Critical Race Theory framework, we analyzed arrest data from a predictive policing program, the Strategic Subject List (SSL), and questioned how the SSL risk score (i.e., calculated risk for gun violence perpetration or victimization) predicts the arrested individual's race/ethnicity while accounting for local spatial conditions, including poverty and racial composition. Using multinomial logistic regression with community area fixed effects, results indicate that the risk score predicts the race/ethnicity of the arrested person while accounting for spatial context. As such, despite claims of scientific objectivity, we provide empirical evidence that the algorithmically-derived risk variable is racially biased. We discuss our study in the context of how the SSL reinforces a pseudoscientific justification of the PIC and call for the abolition of these tools broadly.

Do insecure adult attachment styles mediate the relationship between childhood maltreatment and violent behavior?

Attachment theory has played an important role in attempts to understand the "cycle of violence," where maltreated children are at increased risk for perpetrating violence later in life. However, little is known empirically about whether adult attachment insecurity in close relationships may partly explain the link between childhood maltreatment and violent behavior. This study aimed to address this gap using data from a prospective longitudinal study of documented childhood abuse and neglect cases and demographically matched controls (ages 0-11 years), who were followed into adulthood and interviewed (N = 892). Participants completed the Relationship Scales Questionnaire assessing adult attachment styles at mean age 39.54. Criminal arrest data were used to determine arrests for violence after the assessment of attachment through mean age 50.54. There were significant direct paths from childhood maltreatment and adult attachment insecurity to violent arrests after attachment measurement. Attachment insecurity partly explained the higher levels of violence in individuals with maltreatment histories. Analyses of maltreatment subtypes and attachment styles revealed that attachment anxiety appeared to mediate paths between neglect and physical abuse and later violence. There were no significant indirect paths from neglect or physical abuse to violence via attachment avoidance. Implications and future directions are discussed.

Testing Three New Scoring Methods to Identify Detained Adolescent Girls with Elevated Levels of Callous-Unemotional Traits.

Different scoring methods have been proposed to identify adolescents with high levels of callous-unemotional (CU) traits as measured by the Inventory of Callous-Unemotional traits (ICU). This is the first study to scrutinize the usefulness of the normative, empirical, and DSM-5 with Limited Prosocial Emotions (LPE) scoring methods in criminal justice-involved girls (N = 192). Girls (Mage = 15.74) completed the ICU and other self-report questionnaires. A diagnostic interview was used to determine the presence of conduct disorder (CD) and other psychiatric disorders. Official arrest and rearrest data were also collected. The three scoring methods designated girls with (versus without) CU traits who scored higher on various indices of past and future antisocial behavior, exhibited higher rates of (childhood-onset) CD and higher levels of psychopathic traits, and displayed lower levels of agreeableness and conscientiousness. It was only when the normative and empirical scoring methods were applied that girls with CU traits had higher rates of substance use disorders and were less anxious, depressed, and/or neurotic. In a subsample of girls with CD (N = 119), the three scoring methods captured a more severely antisocial subgroup. Other expected group differences emerged, though mainly when the normative scoring method was used. Results provided support for the clinical utility of the three scoring methods but also showed that the normative scoring method most aligns with theoretical expectations. Research is warranted to explore if this normative scoring method serves as a better categorically-defined specifier for CD than the specifier that is incorporated in the DSM-5.

Overconfidence and Public Intoxication Arrest: Evidence from a University Town Police Log

Abstract We show that overconfident individuals are likely to be arrested for public intoxication by using arrest records from a university town police log. This relationship is robust to various control variables such as risk aversion, time discounting, present bias, self-control, selfishness, loss aversion, and socializing with peers arrested for public intoxication. However, this relationship is no longer significant using only self-reported arrest data. We hypothesize that overconfident individuals are likely to underreport their arrests. This result has important implications for the use of self-reported data on public intoxication arrests rather than actual arrest records.

Association of Recreational Cannabis Legalization With Cannabis Possession Arrest Rates in the US

Recreational cannabis legalization (RCL) has been advocated as a way to reduce the number of individuals interacting with the US criminal justice system; in theory, however, cannabis decriminalization can achieve this objective without generating the negative public health consequences associated with RCL. It is still unclear whether RCL can bring additional benefits in terms of reducing cannabis possession arrests in states that have already decriminalized cannabis. To examine whether RCL was associated with changes in cannabis possession arrests in US states that had already decriminalized cannabis during the study period and whether these changes differed across age and racial subgroups. This repeated cross-sectional study used cannabis possession arrest data from the Federal Bureau of Investigation Uniform Crime Reporting Program (UCRP) for US states from 2010 through 2019. Statistical analysis was conducted from October 6, 2021, to October 12, 2022. Implementation of statewide RCL. Cannabis possession arrest rates per 1000 population per year were assessed with a quasi-experimental difference-in-differences design and were used to estimate the association of RCL with arrest rates in RCL states that had or had not decriminalized cannabis before RCL. This association was also examined in subgroups for age (adults vs youths) and race (Black vs White). This study included UCRP data for 31 US states, including 9 states that implemented RCL during the study period (4 without and 5 with decriminalization) and 22 non-RCL states. In the 4 states that had not decriminalized cannabis before legalization, RCL was associated with a 76.3% decrease (95% CI, -81.2% to -69.9%) in arrest rates among adults. In the 5 states that had already decriminalized cannabis, RCL was still associated with a substantial decrease in adult arrest rates (-40.0%; 95% CI, -55.1% to -19.8%). There was no association of RCL with changes in arrest rates among youths. In addition, changes in arrest rates associated with RCL did not differ among Black and White individuals. In this repeated cross-sectional study, RCL was associated with a sizable reduction in cannabis possession arrests among adults in states that had already decriminalized cannabis during the study period (2010-2019), albeit the magnitude was smaller compared with states that had not decriminalized cannabis before RCL. In addition, RCL did not seem to be associated with changes in arrest rates among youths or disparities in arrest rates among Black and White individuals.

Gentrification, White Encroachment, and the Policing of Black Residents in Washington, DC

When middle-class and White residents move into working-class and poor Black neighborhoods, are there increases in the frequency of arrests of Black people? There are a handful of published articles that examine quantitatively the relationship between gentrification and policing. These studies focus almost exclusively on Los Angeles and New York City and the focus on racialized policing is limited. The present study considers racialized policing in a city that was, until very recently, majority Black and explores the extent to which gentrification and racial change in Washington, DC are associated with enhanced policing of Black residents. A spatial regression analysis which models the association between gentrification, White encroachment, and the policing of Black residents using arrest data from the D.C. Metropolitan Police Department and a gentrification score based on American Community Survey data reveals clear racialized and spatial disparities in arrest rates in Washington, DC. We hypothesized that census tracts experiencing gentrification and White encroachment would have higher drug arrest rates of Black residents. We found support for our White encroachment hypothesis but not for our gentrification hypothesis.

Abstract 285: Traditional Cardiopulmonary Resuscitation In Cardiac Arrest For Patients On Venovenous Extracorporeal Membrane Oxygenation

Introduction: Mortality for patients on VV-ECMO remains high despite increased use during the COVID-19 pandemic. Unlike VA-ECMO which provides life support for cardiac failure and can be used as a bridge to definitive therapy during cardiac arrest (e-CPR), patients who arrest while on VV-ECMO currently may undergo traditional cardiopulmonary resuscitation (CPR). This poses many challenges such as potential cannula position disruption of the VV-ECMO system during compressions and it is unclear if patients on VV-ECMO will benefit from being offered traditional CPR. Hypothesis: Traditional CPR is effective in patients who arrest while on VV-ECMO. Methods: A retrospective chart review of inpatient cardiac arrest data from a high-volume ECMO center was performed. Patients who arrested while on VV-ECMO were included. Data including demographics, etiology of arrest, return of spontaneous circulation (ROSC) and survival to discharge were reviewed. Survival data was compared with the ECLS International Summary of Statistics. Results: We identified 19 patients on VV-ECMO who underwent CPR for cardiac arrest between September 2012 and November 2021. The average age of the patients was 42.7 years and 89.5% (n=17) were men. Seven of the nineteen total patients (36.8%) were being treated for ARDS from COVID-19 pneumonia. The arrest occurred on average 35.6 days into hospitalization (range: 1-132 days). The initial rhythm was pulseless electrical activity in 13 patients (68.4%), and the etiologies of arrest included hypoxemia (n=10, 52.6%), ECMO machine failure or during oxygenator exchange (n=3, 15.8%), pneumothorax (n=2, 10.5%), and cardiac tamponade (n=1, 5.3%). ROSC occurred in all 19 patients (100%), however only 4 patients (21.1%) survived to discharge with good neurologic recovery. Survival to discharge for all-comers on VV-ECMO is 66%. Conclusions: While there is limited evidence for the effectiveness of traditional CPR for patients on VV-ECMO, in this sample, ROSC was universal and one-fifth of patients survived to discharge. Future studies should continue to study the utility of CPR on VV-ECMO and how to optimize technique to improve outcomes for these critically-ill patients.