Differences in Out-of-Hospital Cardiac Arrest Outcomes Among 5 Racial/Ethnic Groups.

OBJECTIVE: Out-of-hospital cardiac arrest (OHCA) is a major health problem and one of the leading causes of death in adults older than 40. Multiple prior studies have demonstrated survival disparities based on race/ethnicity, but most of these focus on a single racial/ethnic group. This study evaluated OHCA variables and outcomes among on 5 racial/ethnic groups. METHODS: This is a retrospective review of data for adult patients in the Cardiac Arrest Registry to Enhance Survival (CARES) from 3 racially diverse urban counties in the San Francisco Bay Area from May 2009 to October 2021. Stratifying by 5 racial/ethnic groups, we evaluated patient survival outcomes based on patient demographics, emergency medical services response location, cardiac arrest characteristics, and hospital interventions. Adjusted risk ratios were calculated for survival to hospital discharge, controlling for sex, age, response locations, median income of response location, arrest witness, shockable rhythm, and bystander cardiopulmonary resuscitation as well as clustering by census tract. RESULTS: There were 10,757 patient entries analyzed: 42% White, 24% Black, 18% Asian, 9.3% Hispanic, 6.0% Pacific Islander, 0.7% American Indian/Alaska Native, and 0.1% multiple races selected; however, only the first 5 racial/ethnic groups had sufficient numbers for comparison. The adjusted risk ratio for survival to hospital discharge was lower among the 4 racial/ethnic groups compared with the White reference group: Black (0.79, p = 0.003), Asian (0.78 p = 0.004), Hispanic (0.79, p = 0.018), and Pacific Islander (0.78, p = 0.041) groups. The risk difference for positive neurologic outcome was also lower among all 4 racial/ethnic groups compared with the White reference group. CONCLUSIONS: The Black, Asian, Hispanic, and Pacific Islander groups were less likely to survive to hospital discharge from OHCA when compared with the White reference group. No variables were associated with decreased survival across any of these 4 groups.

Race and Ethnicity and Prehospital Use of Opioid or Ketamine Analgesia in Acute Traumatic Injury.

Importance: Racial and ethnic disparities in pain management have been characterized in many hospital-based settings. Painful traumatic injuries are a common reason for 911 activations of the EMS (emergency medical services) system. Objective: To evaluate whether, among patients treated by EMS with traumatic injuries, race and ethnicity are associated with either disparate recording of pain scores or disparate administration of analgesia when a high pain score is recorded. Design, Settings, and Participants: This cohort study included interactions from 2019 to 2021 for US patients ages 14 to 99 years who had experienced painful acute traumatic injuries and were treated and transported by an advanced life support unit following the activation of the 911 EMS system. The data were analyzed in January 2023. Exposures: Acute painful traumatic injuries including burns. Main Outcomes and Measures: Outcomes were the recording of a pain score and the administration of a nonoral opioid or ketamine. Results: The study cohort included 4 781 396 EMS activations for acute traumatic injury, with a median (IQR) patient age of 59 (35-78) years (2 497 053 female [52.2%]; 31 266 American Indian or Alaskan Native [0.7%]; 59 713 Asian [1.2%]; 742 931 Black [15.5%], 411 934 Hispanic or Latino [8.6%], 10 747 Native Hawaiian or other Pacific Islander [0.2%]; 2 764 499 White [57.8%]; 16 161 multiple races [0.3%]). The analysis showed that race and ethnicity was associated with the likelihood of having a pain score recorded. Compared with White patients, American Indian and Alaskan Native patients had the lowest adjusted odds ratio (AOR) of having a pain score recorded (AOR, 0.74; 95% CI, 0.71-0.76). Among patients for whom a high pain score was recorded (between 7 and 10 out of 10), Black patients were about half as likely to receive opioid or ketamine analgesia as White patients (AOR, 0.53; 95% CI, 0.52-0.54) despite having a pain score recorded almost as frequently as White patients. Conclusions and Relevance: In this nationwide study of patients treated by EMS for acute traumatic injuries, patients from racial or ethnic minority groups were less likely to have a pain score recorded, with Native American and Alaskan Natives the least likely to have a pain score recorded. Among patients with a high pain score, patients from racial and ethnic minority groups were also significantly less likely to receive opioid or ketamine analgesia treatment, with Black patients having the lowest adjusted odds of receiving these treatments.

Acute respiratory illness among a prospective cohort of pediatric patients using emergency medical services in India: Demographic and prehospital clinical predictors of mortality.

BACKGROUND: In India, acute respiratory illnesses, including pneumonia, are the leading cause of early childhood death. Emergency medical services are a critical component of India's public health infrastructure; however, literature on the prehospital care of pediatric patients in low- and middle-income countries is minimal. The aim of this study is to describe the demographic and clinical characteristics associated with 30-day mortality among a cohort of pediatric patients transported via ambulance in India with an acute respiratory complaint. METHODS: Pediatric patients less than 18 years of age using ambulance services in one of seven states in India, with a chief complaint of "shortness of breath", or a "fever" with associated "difficulty breathing" or "cough", were enrolled prospectively. Patients were excluded if evidence of choking, trauma or fire-related injury, patient was absent on ambulance arrival, or refused transport. Primary exposures included demographic, environmental, and clinical indicators, including hypoxemia and respiratory distress. The primary outcome was 7 and 30-day mortality. Multivariable logistic regression, stratified by transport type, was constructed to estimate associations between demographic and clinical predictors of mortality. RESULTS: A total of 1443 patients were enrolled during the study period: 981 (68.5%) were transported from the field, and 452 (31.5%) were interfacility transports. Thirty-day response was 83.4% (N = 1222). The median age of all patients was 2 years (IQR: 0.17-10); 93.9% (N = 1347) of patients lived on family incomes below the poverty level; and 54.1% (N = 706) were male. Cumulative mortality at 2, 7, and 30-days was 5.2%, 7.1%, and 7.7%, respectively; with 94 deaths by 30 days. Thirty-day mortality was greatest among those 0-28 days (N = 38,17%); under-5 mortality was 9.8%. In multivariable modeling prehospital oxygen saturation <95% (OR: 3.18 CI: 1.77-5.71) and respiratory distress (OR: 3.72 CI: 2.17-6.36) were the strongest predictors of mortality at 30 days. CONCLUSIONS: This is the first study to detail prehospital predictors of death among pediatric patients with shortness of breath in LMICs. The risk of death is particularly high among neonates and those with documented mild hypoxemia, or respiratory distress. Early recognition of critically ill children, targeted prehospital interventions, and diversion to higher level of care may help to mitigate the mortality burden in this population.