Socioeconomic status and incidence of cardiac arrest: a spatial approach to social and territorial disparities.

OBJECTIVE: Cardiac arrest (CA) is considered a major public health issue. Few studies have focused on geographic variations in incidence and socioeconomic characteristics. The aim of this study is to identify clusters of municipalities with high or low CA incidence, and find socioeconomic factors associated with them. PATIENTS AND METHODS: CA data from three Parisian counties, representing 123 municipalities, were extracted from the French CA registry. Socioeconomic data for each municipality were collected from the French national institute of statistics. We used a statistical approach combining Bayesian methods to study geographical CA incidence variations, and scan statistics, to identify CA incidence clusters of municipalities. Finally, we compared clusters of municipalities in terms of socioeconomic factors. RESULTS: Strong geographical variations were found among 123 municipalities: 34 presented a significantly increased risk of incidence and 37 presented a significantly low risk. Scan statistics identified seven significant spatial clusters of CA incidence, including three clusters with low incidence (the relative risk varied from 0.23 to 0.54) and four clusters with high incidence (the relative risk varied from 1.43 to 2). Clusters of municipalities with a high CA incidence are characterized by a lower socioeconomic status than the others (low and normal CA incidence clusters). Analysis showed a statistically significant relationship between social deprivation factors and high incidence. CONCLUSION: This study shows strong geographical variations in CA incidence and a statistically significant relationship between over-incidence and social deprivation variables.

Evolution of Survival in Cardiac Arrest with Age in Elderly Patients: Is Resuscitation a Dead End?

BACKGROUND: Even if age is not considered the key prognostic factor for survival in cardiac arrest (CA), some studies question whether cardiopulmonary resuscitation (CPR) in the elderly could be futile. OBJECTIVE: The aim of this study was to describe differences in out-of-hospital CA survival rates according to age stratification based on the French National CA registry (RéAC). The second objective was to analyze the differences in resuscitation interventions according to age. METHODS: We performed a retrospective cohort study based on data extracted from the RéAC. All 18,249 elderly patients (>65 years old) with non-traumatic CA recorded between July 2011 and March 2015 were included. Patients' ages were stratified into 5-year increments. RESULTS: Cardiopulmonary resuscitation (CPR) was started significantly more often in younger patients (p = 0.019). Ventilation and automated external defibrillation by bystanders were started without any difference between age subgroups (p = 0.147 and p = 0.123, respectively). No difference in terms of rate of external chest compressions or ventilation initiation was found between the subgroups (p = 0.357 and p = 0.131, respectively). Advanced cardiac life support was started significantly more often in younger patients (p = 0.023). Total CPR duration, return of spontaneous circulation, and survival at hospital admission and at 30 days or hospital discharge decreased significantly with age (p < 10-3). The survival decrease was linear, with a loss of 3% survival chances each 5-year interval. CONCLUSIONS: This study found that survival in older persons decreased linearly by 3% every 5 years. However, this diminished rate of survival could be the consequence of a shorter duration and less advanced life support.

Methodological approach for the evaluation of the performances of medical intensive care units.

PURPOSE: The purpose of the study was to present a methodological approach enabling the comparison of clinical and economic performances of intensive care units and a graphical visualization based on these 2 dimensions. PATIENTS AND METHODS: A retrospective analysis of a database of 666 patients admitted in intensive care units over a period of 2 consecutive months. RESULTS: Calculation of clinical performance is based on the difference between the mortality observed and forecast from the Simplified Acute Physiology Score version 2. The evaluation of resource consumption is carried out from the measure of medical and paramedical care workload. These 2 scores are modeled on the basis of the length of stay and the severity state of the patient. The economic performance is calculated on the basis of the difference between the resource consumption observed and forecast. The graphs are constructed by taking up as coordinates the values of the clinical and economic performances of each center. CONCLUSION: These graphs enable the identification of the most deviating intensive care units to study, for example, their organizational, technical, or human resource setup accounting for their position.