METHODS: We developed a prediction model using the classical cross-validation method from the Pan-Asia Trauma Outcomes Study (PATOS) database from 1 January 2015 to 31 December 2020. Eligible patients aged ≥18 years were transported to the hospital by the EMS. The primary outcome (EMS-witnessed TCA) was defined based on changes in vital signs measured on the scene or en route. We included variables that were immediately measurable as potential predictors when EMTs arrived. An integer point value system was built using multivariable logistic regression. The area under the receiver operating characteristic (AUROC) curve and Hosmer-Lemeshow (HL) test were used to examine discrimination and calibration in the derivation and validation cohorts.

RESULTS: In total, 74,844 patients were eligible for database review. The model comprised five prehospital predictors: age <40 years, systolic blood pressure <100 mmHg, respiration rate >20/minute, pulse oximetry <94%, and levels of consciousness to pain or unresponsiveness. The AUROC in the derivation and validation cohorts was 0.767 and 0.782, respectively. The HL test revealed good calibration of the model (p = 0.906).

METHODOLOGY: This was a retrospective analysis of all OHCA cases collected from the Pan-Asian Resuscitation Outcomes Study (PAROS) registry in 7 countries in Asia between 2009 and 2012. We included OHCA cases of presumed cardiac etiology, aged 18-years and above and resuscitation attempted by EMS. We performed multivariate logistic regression analyses to assess the relationship between initial and subsequent shockable rhythm and survival and neurological outcomes. 2-stage seemingly unrelated bivariate probit models were developed to jointly model the survival and neurological outcomes. We adjusted for the clustering effects of country variance in all models.

RESULTS: 40,160 OHCA cases met the inclusion criteria. There were 5356 OHCA cases (13.3%) with initial shockable rhythm and 33,974 (84.7%) with initial non-shockable rhythm. After adjustment of baseline and prehospital characteristics, OHCA with initial shockable rhythm (odds ratio/OR=6.10, 95% confidence interval/CI=5.06-7.34) and subsequent conversion to shockable rhythm (OR=2.00,95%CI=1.10-3.65) independently predicted better survival-to-hospital-discharge outcomes. Subsequent shockable rhythm conversion significantly improved survival-to-admission, discharge and post-arrest overall and cerebral performance outcomes in the multivariate logistic regression and 2-stage analyses.

METHODS: We studied all children less than 17 years of age with OHCA conveyed by EMS and non-EMS transports from January 2009 to December 2012. We did univariate and multivariate logistic regression analyses to assess the factors associated with survival-to-discharge outcomes.

RESULTS: A total of 974 children with OHCA were included. Bystander cardiopulmonary resuscitation rates ranged from 53.5% (Korea), 35.6% (Singapore) to 11.8% (UAE). Overall, 8.6% (range 0%-9.7%) of the children survived to discharge from hospital. Adolescents (13-17 years) had the highest survival rate of 13.8%. 3.7% of the children survived with good neurological outcomes of CPC 1 or 2. The independent pre-hospital factors associated with survival to discharge were witnessed arrest and initial shockable rhythm. In the sub-group analysis, pre-hospital advanced airway [odds ratio (OR) = 3.35, 95% confidence interval (CI) = 1.23-9.13] was positively associated with survival-to-discharge outcomes in children less than 13 years-old. Among adolescents, bystander CPR (OR = 2.74, 95%CI = 1.03-7.3) and initial shockable rhythm (OR = 20.51, 95%CI = 2.15-195.7) were positive factors.

METHODS: This was a prospective, international, multicenter cohort study of out-of-hospital cardiac arrest in the Asia-Pacific. Arrests caused by trauma, patients who were not transported by emergency medical services (EMS), and pediatric out-of-hospital cardiac arrest cases (<18 years) were excluded from the analysis. Modifiable out-of-hospital factors (bystander cardiopulmonary resuscitation [CPR] and defibrillation, out-of-hospital defibrillation, advanced airway, and drug administration) were compared for all out-of-hospital cardiac arrest patients presenting to EMS and participating hospitals. The primary outcome measure was survival to hospital discharge or 30 days of hospitalization (if not discharged). We used multilevel mixed-effects logistic regression models to identify factors independently associated with out-of-hospital cardiac arrest survival, accounting for clustering within each community.

RESULTS: Of 66,780 out-of-hospital cardiac arrest cases reported between January 2009 and December 2012, we included 56,765 in the analysis. In the adjusted model, modifiable factors associated with improved out-of-hospital cardiac arrest outcomes included bystander CPR (odds ratio [OR] 1.43; 95% confidence interval [CI] 1.31 to 1.55), response time less than or equal to 8 minutes (OR 1.52; 95% CI 1.35 to 1.71), and out-of-hospital defibrillation (OR 2.31; 95% CI 1.96 to 2.72). Out-of-hospital advanced airway (OR 0.73; 95% CI 0.67 to 0.80) was negatively associated with out-of-hospital cardiac arrest survival.

METHODS: A cross-sectional randomized intervention study over 12 months' duration was conducted in university hospital simulation lab. ACLS-certified medical doctors were assigned to run 2 standardized simulated resuscitation code as RTL from a head-end position (HEP) and leg-end position (LEP). They were evaluated on leadership qualities including situational attentiveness (SA), errors detection (ED), and decision making (DM) using a standardized validated resuscitation-code-checklist (RCC). Performance was assessed live by 2 independent raters and was simultaneously recorded. RTL self-perceived performance was compared to measured performance.

METHODS: Cross sectional questionnaire survey conducted among a convenience sample of physicians that likely comprise code team members in their country (Indonesia, Israel and Mexico). The questionnaire included details regarding respondent demographics and training, personal value judgments and preferences as well as professional experience regarding CPR and forgoing of resuscitation.