Critical care clinics
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Critical care clinics · Oct 2023
ReviewPredictive Modeling Using Artificial Intelligence and Machine Learning Algorithms on Electronic Health Record Data: Advantages and Challenges.
The rapid adoption of electronic health record (EHR) systems in US hospitals from 2008 to 2014 produced novel data elements for analysis. Concurrent innovations in computing architecture and machine learning (ML) algorithms have made rapid consumption of health data feasible and a powerful engine for clinical innovation. In critical care research, the net convergence of these trends has resulted in an exponential increase in outcome prediction research. In the following article, we explore the history of outcome prediction in the intensive care unit (ICU), the growing use of EHR data, and the rise of artificial intelligence and ML (AI) in critical care.
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Electronic medical records (EMRs) constitute the electronic version of all medical information included in a patient's paper chart. The electronic health record (EHR) technology has witnessed massive expansion in developed countries and to a lesser extent in underresourced countries during the last 2 decades. We will review factors leading to this expansion, how the emergence of EHRs is affecting several health-care stakeholders; some of the growing pains associated with EHRs with a particular emphasis on the delivery of care to the critically ill; and ongoing developments on the path to improve the quality of research, health-care delivery, and stakeholder satisfaction.
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Critical care clinics · Jul 2022
ReviewAcute Neurologic Complications of COVID-19 and Postacute Sequelae of COVID-19.
Neurologic complications can be seen in mild to severe COVID-19 with a higher risk in patients with severe COVID-19. These can occur as a direct consequence of viral infection or consequences of treatments. ⋯ Outcomes depend on severity of underlying COVID-19, patient age, comorbidities, and severity of the complication. Postacute sequelae of COVID-19 range from fatigue, headache, dysosmia, brain fog, anxiety, depression to an overlap with postintensive care syndrome.
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Critical care clinics · Jul 2022
ReviewHigh-Flow Nasal Oxygen and Noninvasive Ventilation for COVID-19.
High-flow nasal oxygen (HFNO) and noninvasive ventilation (NIV) via facemask or helmet have been increasingly used in managing acute hypoxemic respiratory failure (AHRF) owing to COVID-19 with the premise of reducing the need for invasive mechanical ventilation and possibly mortality. Their use carries the risk of delaying intubation and nosocomial infection transmission. To date, most studies on the effectiveness of these modalities are observational and suggest that HFNO and NIV have a role in the management of AHRF owing to COVID-19. Trials are ongoing and are evaluating different aspects of noninvasive respiratory support in patients with AHRF owing to COVID-19.
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Extracorporeal membrane oxygenation (ECMO) is an intervention for severe acute respiratory distress syndrome (ARDS). Although COVID-19-related ARDS has some distinct features, its overall clinical presentation resembles ARDS from other etiologies. ⋯ Current evidence suggests that ECMO in COVID-19-related ARDS has similar efficacy and safety profile as for non-COVID-19 ARDS. The high number of severe COVID-19 cases and demand for therapies, such as ECMO, poses a unique opportunity to increase the understanding on how to optimize this intervention.