Resuscitation
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A minority of out-of-hospital cardiac arrest patients have an acutely occluded coronary artery without manifesting ST-segment elevation on their post-resuscitation ECG. Identifying such patients is an issue to providing timely reperfusion therapy. We aimed to evaluate the usefulness of the initial post-resuscitation electrocardiogram in out-of-hospital-cardiac-arrest patients for selection to perform early coronary angiography. ⋯ Electrocardiogram findings cannot exclude or identify the presence of an acutely occluded coronary in out-of-hospital-cardiac-arrest patients without ST-segment elevation. An acutely occluded coronary may be present regardless of normal electrocardiogram findings.
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The aim of this study was to explore associations between comorbidities and health-related quality of life (HRQoL) among in-hospital cardiac arrest (IHCA) survivors. ⋯ Since IHCA survivors with comorbidities report worse HRQoL compared to those without comorbidities, it is important to pay directed attention to them when developing and providing post-CA care, especially in those with respiratory insufficiency and previous stroke.
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This study sought to identify Out of Hospital Cardiac Arrests (OHCA) eligible for Extracorporeal Cardiopulmonary Resuscitation (ECPR), use Geographic Information Systems (GIS) to investigate geographic patterns, and investigate if correlation between ECPR candidacy and Social Determinants of Health (SDoH) exist. ⋯ A significant proportion of OHCAs were eligible for ECPR based on prehospital criteria. Utilizing GIS to map and analyze ECPR patients provided insights into the locations of these events and the SDoH that may be driving risk in these places.
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Early Warning Scores (EWS) monitor inpatient deterioration predominantly using vital signs. We evaluated inpatient outcomes after implementing an Artificial Intelligence (AI) based intervention in our local EWS. ⋯ We enrolled 28,639 patients (median age 73 years, IQR: 60-83) with 52.3% female. The intervention and control groups did not show any statistically significant differences apart from reduced admissions via the emergency department in the intervention group (40.4% vs 41.6%, P = 0.03). Risk for an MAE was lower in intervention than control (RR: 0.81; 95%CI: 0.74-0.89). Length of hospital stay was significantly reduced in the intervention group (3.74 days, IQR 1.84-7.26) compared to the control group (3.86 days, IQR 1.86-7.86, P = 0.002) CONCLUSIONS: Implementing the DI in one hospital in Australia was associated with some improved patient outcomes. Future RCTs are needed for further validation.
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The study by Fijačko et al. tested ChatGPT's ability to pass the BLS and ACLS exams of AHA, but found that ChatGPT failed both exams. A limitation of their study was using ChatGPT to generate only one response, which may have introduced bias. When generating three responses per question, ChatGPT can pass BLS exam with an overall accuracy of 84%. When incorrectly answered questions were rewritten as open-ended questions, ChatGPT's accuracy rate increased to 96% and 92.1% for the BLS and ACLS exams, respectively, allowing ChatGPT to pass both exams with outstanding results.