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).

METHODS: Using a validated questionnaire, 6248 participants were asked to rate their willingness to perform bystander chest compression with mouth-to-mouth ventilation and chest compression-only CPR. Their past familial experiences of receiving cardiopulmonary resuscitation (CPR) and medical help in various cardiac arrest and nonfatal cardiac events were also recorded.

RESULTS: Kruskal-Wallis test with post hoc Dunn's pairwise comparisons showed that the following were significantly more willing to perform CPR with mouth-to-mouth ventilation: familial experience of "nonfatal cardiac events" (mean rank = 447) vs "out-of-hospital cardiac arrest with no CPR" (mean rank = 177), U = 35442.5, z = -2.055, p = 0.04; "in-hospital cardiac arrest and successful CPR" (mean rank = 2955.79) vs "none of these experiences" (mean rank = 2468.38), U = 111903, z = -2.60, p = 0.01; and "in-hospital cardiac arrest with successful CPR" (mean rank = 133.45) vs "out-of-hospital arrest with no CPR" (mean rank = 112.36), U = 4135.5, z = -2.06, p = 0.04. For compression-only CPR, Kruskal-Wallis test with multiple runs of Mann-Whitney U tests showed that "nonfatal cardiac events" group was statistically higher than the group with "none of these experiences" (mean rank = 3061.43 vs 2859.91), U = 1194658, z = -2.588, p = 0.01. The groups of "in-hospital cardiac arrest with successful CPR" and "in-hospital cardiac arrest with transient return of spontaneous circulation" were the most willing groups to perform compression-only CPR.

METHODS: A retrospective study that evaluated two years of mortality registry starting in 2015 was conducted in the ED of University Kebangsaan Malaysia Medical Centre (UKMMC), Kuala Lumpur, Malaysia. Adult out-hospital cardiac arrest (OHCA) patients treated in the ED were included. Multivariate logistic regression analysis was utilized for the exploration of factors associated with prolonged CPR attempts (> 30min).

RESULTS: The median CPR duration was 24min (range 2-68min). Four variables were independently associated with prolonged CPR attempts: younger age (OR, 0.97; 95% CI, 0.95-0.99; p<0.001), pre-existing heart disease (OR, 1.97; 95% CI, 1.07-3.65; p=0.031), occurrence of transient return of spontaneous circulation (ROSC) (OR, 2.38; 95% CI, 1.05-5.36; p=0.037), and access to the ED by nonemergency medical services (EMS) transport (OR, 1.92; 95% CI, 1.09-3.37; p=0.024).

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: 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: This was an observational manikin-based study. A total of 96 participants as well as two types of mechanical compression devices: Lucas-2 and AutoPulse, performed one minute of continuous chest compression on BT-CPEA programmed manikin while the ambulance travelled at different speeds, i.e., idle state, 30km/hr and 60km/hr. Seven outcome variables of chest compression were measured. Performance data of different groups of compressor were compared and analysed using repeated measures analysis of variance (ANOVA).

RESULTS: In manual chest compression, significant variation were noted among different speeds in term of average compression rate (p<0.001), average compression depth (p=0.007), fraction of adequate/insufficient compression depth and fraction of normal hands positioning with p=0.018, 0.022 and 0.034 respectively. Overall, AutoPulse and Lucas-2 were not affected by ambulance speed. Lucas- 2 showed more consistent average compression rate, higher fraction of adequate compression depth and reduced fraction of insufficient compression depth as compared to manual compression with p<0.001, 0.001 and 0.043 respectively.

METHODS: In this single-center observational study, a validated questionnaire aimed to assess the university employees' attitude and confidence in handling AED and performing CPR before (pre-test) and immediately after (post-test) the training program was conducted.