Our work highlights the significant discrepancy in OOHCA characteristics and patient survival in relation to the patient's race, with the black population faring less well across all stages. Most studies compared black and white populations within the US, so research elsewhere and with other ethnic groups is needed. This review exposes an inequality that demands urgent action.

Objective:To determine if there was any decrease in measures of injury severity or outcome with obese patients (body mass index greater than or equal to 30 kg/m2) as compared to non-obese patients (body mass index less than 30 kg/m2).Methods:We conducted a retrospective review of the trauma database maintained by Natividad Medical Center's Level 2-Trauma program. From July 1st, 2014 to July 1st, 2017 there were 371 cases of penetrating trauma in adults between the ages of 18-80 years old. Overall 311 patients had BMI data recorded. We divided these 311 patients into two groups: penetrating injury due to firearm (n= 198) and penetrating injury due to stabbing or piercing (n=113). We compared non-obese patients against obese patients for age, gender, Injury Severity Score (ISS), length of stay (LOS), Intensive Care Unit LOS, units of blood given, direct transfer from ED to operating room, and mortality. Results:A total of 311 patients were included in the study, 198 (63.6%) patients suffered from gunshot wounds and 113 (36.4) from stab or piercing wounds. The mean age was 33.6 ± 12.8 and there were 283 (91%) men among the victims. Overall 87 (28%) required emergent surgery and a 19 (6.1%) mortality rate was recorded. In the gunshot wound group there was no significant difference between non-obese and obese patients for age (p=0.400), gender (p=0.900), ISS (p=0.544), LOS (p=0.273), Intensive Care Unit LOS (p=0.729), units of blood given (p=0.300), or mortality (p=0.855). We found that in the stab or piercing group there was no significant difference between non-obese and obese patients for age (p=0.900), gender (p=0.900), ISS (p=0.580), LOS (p=0.839), Intensive Care Unit LOS (p=0.305), units of blood given (p=0.431), or mortality (p=0.321). Conclusion:Our findings indicate that in our patient population, there was no significant difference in markers of injury severity, morbidity, or mortality in adult non-obese patients as comparted with obese patients.  Furthermore, there was no significant difference between the two groups in operative rates, suggesting that obesity may not confer a protective effect in penetrating trauma.

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Funding Acknowledgements Type of funding sources: None. Introduction Obesity is a common and known risk factor for many cardiovascular diseases. Prior studies on chronic systolic heart failure have demonstrated that obesity is inversely associated with mortality, the so-called obesity paradox. Purpose  To study the phenomenon of obesity paradox in HFrEF hospitalizations Methods We queried January 2016 to December 2018 National Inpatient Sample (NIS) to identify adult (≥18 yrs) hospitalizations with a primary diagnosis of HFrEF. Patients with an associated diagnosis of obesity and higher BMI were also identified based on appropriate ICD-10 CM codes. We used the Chi-square test to evaluate the differences between binary or categorical variables, and Student’s t-test for continuous variables. Multivariate logistic regression was used in outcomes analysis to adjust for potential hospital and patient-level confounders. Results  We identified 639,944 weighted HFrEF hospitalizations across three years. Of which, 130,949 (20.4%) of them were associated with obesity. HFrEF with obesity hospitalizations were associated with younger age (mean age 62.0 vs 70.7 yrs; P < 0.01), lesser CAD (55% vs 61%; P < 0.01), higher rate of comorbidity (% of >3 Elixhauser comorbidity score 99.2% vs 94.1%; P < 0.01) and higher Medicaid primary payer (18.2% vs 12.7%, P < 0.01). After adjusting for patient and hospital-level characteristics, we observe statistically significant difference in odds of in-hospital mortality when HFrEF with obesity hospitalizations was compared to HFrEF without obesity [Odds Ratio (OR): 1.1 (0.8 – 1.5); P = 0.52]. We observed statistically significant association with increased LOS [6.0 vs 5.3 days; P < 0.01], increased total hospitalization charges [US$ 61524 vs 55677; P < 0.01] and decreased coronary catheterizations [OR: 0.7 (0.5 – 0.9); P = 0.01] in HFrEF with obesity group compared to HFrEF without obesity. Conclusion In this retrospective cohort of hospitalized patients with HFrEF, higher BMI and obesity was not associated with in-hospital mortality. However, it was associated with longer LOS and higher total hospitalization charges. HFrEF with obesity hospitalizations are associated with lesser left coronary catheterizations. This may be explained by lesser burden of CAD in this patient population.