The results of EuReCa ONE highlight that OHCA is still a major public health problem accounting for a substantial number of deaths in Europe. EuReCa ONE very clearly demonstrates marked differences in the processes for data collection and reported outcomes following OHCA all over Europe. Using these data and analyses, different countries, regions, systems, and concepts can benchmark themselves and may learn from each other to further improve survival following one of our major health care events.

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Elderly patients scheduled for major elective vascular surgery are at high risk for a major adverse cardiac events (MACE). The objectives of the study were: (1) To determine the individual discriminatory ability of four risk prediction models and four biomarkers in predicting MACEs in elderly patients undergoing major elective vascular surgery; (2) to find a prognostic model with the best characteristics; (3) to examine the significance of all preoperative parameters; and (4) to determine optimal cut-off values for biomarkers with best predictor capabilities. We enrolled 144 geriatric patients, aged 69.97 ± 3.73 years, with a 2:1 male to female ratio. Essential inclusion criteria were open major vascular surgery and age >65 years. The primary outcome was the appearance of MACEs within 6 months. These were noted in 33 (22.9%) patients. The most frequent cardiac event was decompensated heart failure, which occurred in 22 patients (15.3%). New onset atrial fibrillation was registered in 13 patients (9%), and both myocardial infarction and ventricular arrhythmias occurred in eight patients each (5.5%). Excellent discriminatory ability (AUC >0.8) was observed for all biomarker combinations that included the N-terminal fragment of pro-B-type natriuretic peptide (NT-proBNP). The most predictive two-variable combination was the Geriatric-Sensitive Cardiac Risk Index (GSCRI) + NT-proBNP (AUC of 0.830 with a 95% confidence interval). Female gender, previous coronary artery disease, and NT-proBNP were three independent predictors in a multivariate model of binary logistic regression. The Cox regression multivariate model identified high-sensitivity C-reactive protein and NT-proBNP as the only two independent predictors.

Objective: The aim of our study was to find the best model with sufficient power to improve the risk stratification in major vascular surgery patients during the first 30 days after this procedure. The discriminatory power of 4 biomarkers (troponin I [TnI], N-terminal prohormone of brain natriuretic peptide [NT-proBNP], creatine kinase-MB isoenzyme [CK-MB], high-sensitivity C-reactive protein [hs-CRP]) was tested as well as 2 risk assessment models and 13 different combinations of them. Subjects and Methods: The study included 122 patients (77% men, 23% women) with an average age of 67.03 ± 4.5 years. An aortobifemoral bypass was performed in 6.56% of the patients, a femoropopliteal bypass in 18.85%, and 49.18% received open surgical reconstruction of the carotid arteries. A total of 25.41% of the patients were given an aortobi-iliac bypass. Results: During the first 30 days, 13 patients (10.7%) had 17 cardiac complications. The most common complication was the new onset of atrial fibrillation (35.3%). During the first 10 days, 10 patients had 1 complication and 2 patients had 2 cardiac events, while 1 patient had 3 complications. By comparing combinations of scores and markers, it was shown that revised cardiac risk index (RCRI) + Vascular Portsmouth Physiological and Operative Severity Score (V-POSSUM) + hsTnI and RCRI + V-POSSUM + hsTnI + NT-proBNP with 100% sensitivity, > 80% specificity had the best discriminatory ability (AUC 0.924 and 0.933, respectively; p < 0.001 for both models) for cardiac complications during the 30 days after surgery. Conclusion: Combinations of traditional preoperative risk factors and scores can enhance the assessment of major adverse cardiac events (MACE) in patients preparing for large vascular surgery. Using only one risk score in these patients seems to be underperforming in preoperative risk assessment.

Background: Survival after out-of-hospital cardiac arrest (OHCA) is still low. For every minute without resuscitation the likelihood of survival decreases.One critical step is initiation of immediate, high quality cardiopulmonary resuscitation (CPR). The aim of this subgroup analysis of data collected for the European Registry of Cardiac Arrest Study number 2 (EuReCa TWO) was to investigate the association between OHCA survival and two types of bystander CPR namely: chest compression only CPR (CConly) and CPR with chest compressions and ventilations (FullCPR).Method: In this subgroup analysis of EuReCa TWO, all patients who received bystander CPR were included. Outcomes were return of spontaneous circulation and survival to 30-days or hospital discharge. A multilevel binary logistic regression analysis with survival as the dependent variable was performed.Results: A total of 5884 patients were included in the analysis, varying between countries from 21 to 1444. Survival was 320 (8%) in the CConly group and 174 (13%) in the FullCPR group. After adjustment for age, sex, location, rhythm, cause, time to scene, witnessed collapse and country, patients who received FullCPR had a significantly higher survival rate when compared to those who received CConly (adjusted odds ration 1.46, 95% confidence interval 1.17À1.83). Conclusion:In this analysis, FullCPR was associated with higher survival compared to CConly. Guidelines should continue to emphasise the importance of compressions and ventilations during resuscitation for patients who suffer OHCA and CPR courses should continue to teach both.