Articles: intensive-care-units.
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Journal of anesthesia · Apr 2024
ReviewMachine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review.
Atrial fibrillation (AF) stands as the predominant arrhythmia observed in ICU patients. Nevertheless, the absence of a swift and precise method for prediction and detection poses a challenge. This study aims to provide a comprehensive literature review on the application of machine learning (ML) algorithms for predicting and detecting new-onset atrial fibrillation (NOAF) in ICU-treated patients. ⋯ Notably, CatBoost exhibited superior performance in NOAF prediction, while the support vector machine excelled in NOAF detection. Machine learning algorithms emerge as promising tools for predicting and detecting NOAF in ICU patients. The incorporation of these algorithms in clinical practice has the potential to enhance decision-making and the overall management of NOAF in ICU settings.
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Despite the variability and complexity of geriatric conditions, few COVID-19 reports of clinical characteristic prognostication provide data specific to oldest-old adults (over age 85), and instead generally report broadly as 65 and older. ⋯ Metabolic syndrome measures are important individual predictors of COVID-19 outcomes. Building on prior examinations that metabolic syndrome is associated with death and ARDS across all ages, this analysis supports that metabolic syndrome criteria may be more relevant than chronological age as risk factors for poor outcomes attributed to COVID-19.
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Standard treatment for eligible patients presenting with acute ischemic stroke (AIS) is thrombolysis with tissue plasminogen activators alteplase or tenecteplase. Current guidelines recommend monitoring patients in an intensive care unit (ICU) for 24 h after thrombolytic therapy. However, recent studies have questioned the need for prolonged ICU monitoring. This retrospective cohort study aims to identify potential candidates for early transition to a lower level of care by assessing risk factors for neurological deterioration, symptomatic intracranial hemorrhage (sICH), or need for ICU intervention within 24 h post-thrombolysis. ⋯ Our study demonstrates that sICH, neurological deterioration, and need for ICU intervention rarely occur beyond 12 h after thrombolytic administration. Patients presenting with blood pressures < 140/90 mm Hg, NIHSS scores < 10, and not undergoing mechanical thrombectomy may be best candidates for early de-escalation. Larger prospective studies are needed to more fully evaluate the safety, feasibility, and financial impact of early transition out of the ICU.
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The objective of this study was to assess long-term outcome in patients with spontaneous intracerebral hemorrhage admitted to the intensive care unit. ⋯ In patients admitted to the intensive care unit with a diagnosis of nontraumatic intracerebral hemorrhage, hospital mortality up to 90 days after admission is very high. Between 90 days and 5 years after admission, mortality is not high. A large percentage of survivors presented a significant deficit in quality of life and functional status, although with progressive improvement over time. Five years after the hemorrhagic stroke, a survival of 30% was observed, with a good functional status seen in 20% of patients who had been admitted to the hospital.