Immediate Platelet Inhibition Strategy for Comatose Out-of-Hospital Cardiac Arrest Survivors Undergoing Percutaneous Coronary Intervention and Mild Therapeutic Hypothermia.

Background: Comatose survivors of out-of-hospital cardiac arrest (OHCA) undergoing percutaneous coronary intervention (PCI) and target temperature management (TTM) are at increased risk of stent thrombosis (ST), partly due to delayed platelet inhibition even with more potent P2Y12 agents. We hypothesized that periprocedural cangrelor would induce immediate platelet inhibition, bridging the "P2Y12 inhibition gap". Methods: In our pilot study, we randomized 30 comatose OHCA patients undergoing PCI and TTM (32-34 °C) into cangrelor and control groups. Both groups received unfractioned heparin, acetylsalicylic acid, and ticagrelor via enteral tube. The cangrelor group also received an intravenous bolus of cangrelor followed by a 4 h infusion. Platelet inhibition was measured using VerifyNow® and Multiplate® ADP at baseline and 1, 3, 5, and 8 h post PCI. Results: Patient characteristics did not differ between groups. VerifyNow® showed significantly decreased platelet reactivity with cangrelor at 1 h (30 vs. 221 PRU; p < 0.001) and 3 h (24 vs. 180 PRU; p < 0.001), with differences at 5 and 8 h. Similarly, the proportion of patients with high on-treatment platelet reactivity (HPR) in the cangrelor group was significantly lower at 1 h (0% vs. 67%; p < 0.001) and 3 h (0% vs. 47%; p = 0.007). Multiplate® ADP was also decreased at 1 h (14 vs. 48 U; p < 0.001) and 3 h (11 vs. 42 U; p = 0.001), with no difference at 5 and 8 h. The occurrence of bleeding events was similar in both groups. Conclusions: Cangrelor safely induced immediate and profound platelet inhibition. We observed no significant drug-drug interaction with ticagrelor.

MIRACLE2 Score Compared With Downtime and Current Selection Criterion for Invasive Cardiovascular Therapies After OHCA.

BACKGROUND: The MIRACLE2 score is the only risk score that does not incorporate and can be used for selection of therapies after out-of-hospital cardiac arrest (OHCA). OBJECTIVES: This study sought to compare the discrimination performance of the MIRACLE2 score, downtime, and current randomized controlled trial (RCT) recruitment criteria in predicting poor neurologic outcome after out-of-hospital cardiac arrest (OHCA). METHODS: We used the EUCAR (European Cardiac Arrest Registry), a retrospective cohort from 6 centers (May 2012-September 2022). The primary outcome was poor neurologic outcome on hospital discharge (cerebral performance category 3-5). RESULTS: A total of 1,259 patients (total downtime = 25 minutes; IQR: 15-36 minutes) were included in the study. Poor outcome occurred in 41.8% with downtime <30 minutes and in 79.3% for those with downtime >30 minutes. In a multivariable logistic regression analysis, MIRACLE2 had a stronger association with outcome (OR: 2.23; 95% CI: 1.98-2.51; P < 0.0001) than zero flow (OR: 1.07; 95% CI: 1.01-1.13; P = 0.013), low flow (OR: 1.04; 95% CI: 0.99-1.09; P = 0.054), and total downtime (OR: 0.99; 95% CI: 0.95-1.03; P = 0.52). MIRACLE2 had substantially superior discrimination for the primary endpoint (AUC: 0.877; 95% CI: 0.854-0.897) than zero flow (AUC: 0.610; 95% CI: 0.577-0.642), low flow (AUC: 0.725; 95% CI: 0.695-0.754), and total downtime (AUC: 0.732; 95% CI: 0.701-0.760). For those modeled for exclusion from study recruitment, the positive predictive value of MIRACLE2 ≥5 for poor outcome was significantly higher (0.92) than the CULPRIT-SHOCK (Culprit lesion only PCI Versus Multivessel PCI in Cardiogenic Shock) (0.80), EUROSHOCK (Testing the value of Novel Strategy and Its Cost Efficacy In Order to Improve the Poor Outcomes in Cardiogenic Shock) (0.74) and ECLS-SHOCK (Extra-corporeal life support in Cardiogenic shock) criteria (0.81) (P < 0.001). CONCLUSIONS: The MIRACLE2 score has superior prediction of outcome after OHCA than downtime and higher discrimination of poor outcome than the current RCT recruitment criteria. The potential for the MIRACLE2 score to improve the selection of OHCA patients should be evaluated formally in future RCTs.

A machine learning algorithm to predict a culprit lesion after out of hospital cardiac arrest.

BACKGROUND: We aimed to develop a machine learning algorithm to predict the presence of a culprit lesion in patients with out-of-hospital cardiac arrest (OHCA). METHODS: We used the King's Out-of-Hospital Cardiac Arrest Registry, a retrospective cohort of 398 patients admitted to King's College Hospital between May 2012 and December 2017. The primary outcome was the presence of a culprit coronary artery lesion, for which a gradient boosting model was optimized to predict. The algorithm was then validated in two independent European cohorts comprising 568 patients. RESULTS: A culprit lesion was observed in 209/309 (67.4%) patients receiving early coronary angiography in the development, and 199/293 (67.9%) in the Ljubljana and 102/132 (61.1%) in the Bristol validation cohorts, respectively. The algorithm, which is presented as a web application, incorporates nine variables including age, a localizing feature on electrocardiogram (ECG) (≥2 mm of ST change in contiguous leads), regional wall motion abnormality, history of vascular disease and initial shockable rhythm. This model had an area under the curve (AUC) of 0.89 in the development and 0.83/0.81 in the validation cohorts with good calibration and outperforms the current gold standard-ECG alone (AUC: 0.69/0.67/0/67). CONCLUSIONS: A novel simple machine learning-derived algorithm can be applied to patients with OHCA, to predict a culprit coronary artery disease lesion with high accuracy.

MIRACLE2 Score and SCAI Grade to Identify Patients With Out-of-Hospital Cardiac Arrest for Immediate Coronary Angiography.

OBJECTIVES: The purpose of this study was to evaluate the impact of performing immediate coronary angiography (CAG) after out-of-hospital cardiac arrest (OHCA) with stratification of predicted neurologic injury and cardiogenic shock on arrival to a center. BACKGROUND: The role of immediate CAG for patients with OHCA is unclear, which may in part be explained by the majority of patients dying of hypoxic brain injury. METHODS: Between May 2012 and July 2020, patients from 5 European centers were included in the EUCAR (European Cardiac Arrest Registry). Patients were retrospectively classified into low vs high neurologic risk (MIRACLE2 score 0-3 vs ≥4) and degree of cardiogenic shock on arrival (Society for Cardiovascular Angiography and Interventions [SCAI] grade A vs B-E). A multivariable logistic regression analysis including immediate CAG was performed for the primary outcome of survival with good neurologic outcome (Cerebral Performance Category 1 or 2) at hospital discharge. RESULTS: Nine hundred twenty-six patients were included in the registry, with 405 (43.7%) in the low-risk group and 521 (56.3%) in the high-risk group. Immediate CAG was independently associated with improved survival with good neurologic outcome in the low MIRACLE2 risk group with ST-segment elevation myocardial infarction (OR: 11.80; 95% CI: 2.24-76.74; P = 0.048) and with SCAI grade B to E shock (OR: 3.23; 95% CI: 1.10-9.50; P = 0.031). No subgroups, including those with ST-segment elevation myocardial infarction and with SCAI grade B to E shock, achieved any benefit from early CAG in the high MIRACLE2 group. CONCLUSIONS: Combined classification of patients with OHCA with 12-lead electrocardiography, MIRACLE2 score 0 to 3, and SCAI grade B to E identifies a potential cohort of patients at low risk for neurologic injury who benefit most from immediate CAG.

A practical risk score for early prediction of neurological outcome after out-of-hospital cardiac arrest: MIRACLE2.

AIMS: The purpose of this study was to develop a practical risk score to predict poor neurological outcome after out-of-hospital cardiac arrest (OOHCA) for use on arrival to a Heart Attack Centre. METHODS AND RESULTS: From May 2012 to December 2017, 1055 patients had OOHCA in our region, of whom 373 patients were included in the King's Out of Hospital Cardiac Arrest Registry (KOCAR). We performed prediction modelling with multivariable logistic regression to identify predictors of the primary outcome to derive a risk score. This was externally validated in two independent cohorts comprising 473 patients. The primary endpoint was poor neurological outcome at 6-month follow-up (Cerebral Performance Category 3-5). Seven independent predictors of outcome were identified: missed (unwitnessed) arrest, initial non-shockable rhythm, non-reactivity of pupils, age (60-80 years-1 point; >80 years-3 points), changing intra-arrest rhythms, low pH <7.20, and epinephrine administration (2 points). The MIRACLE2 score had an area under the curve (AUC) of 0.90 in the development and 0.84/0.91 in the validation cohorts. Three risk groups were defined-low risk (MIRACLE2 ≤2-5.6% risk of poor outcome); intermediate risk (MIRACLE2 of 3-4-55.4% of poor outcome); and high risk (MIRACLE2 ≥5-92.3% risk of poor outcome). The MIRACLE2 score had superior discrimination than the OHCA [median AUC 0.83 (0.818-0.840); P < 0.001] and Cardiac Arrest Hospital Prognosis models [median AUC 0.87 (0.860-0.870; P = 0.001] and equivalent performance with the Target Temperature Management score [median AUC 0.88 (0.876-0.887); P = 0.092]. CONCLUSIONS: The MIRACLE2 is a practical risk score for early accurate prediction of poor neurological outcome after OOHCA, which has been developed for simplicity of use on admission.

Contemporary Management of Out-of-hospital Cardiac Arrest in the Cardiac Catheterisation Laboratory: Current Status and Future Directions.

Out-of-hospital cardiac arrest (OHCA) is an important cause of mortality and morbidity in developed countries and remains an important public health burden. A primary cardiac aetiology is common in OHCA patients, and so patients are increasingly brought to specialist cardiac centres for consideration of coronary angiography, percutaneous coronary intervention and mechanical circulatory support. This article focuses on the management of OHCA in the cardiac catheterisation laboratory. In particular, it addresses conveyance of the OHCA patient direct to a specialist centre, the role of targeted temperature management, pharmacological considerations, provision of early coronary angiography and mechanical circulatory support.