Articles: operative.
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Curr Opin Anaesthesiol · Jun 2024
ReviewAdvances in pediatric perioperative care using artificial intelligence.
This article explores how artificial intelligence (AI) can be used to evaluate risks in pediatric perioperative care. It will also describe potential future applications of AI, such as models for airway device selection, controlling anesthetic depth and nociception during surgery, and contributing to the training of pediatric anesthesia providers. ⋯ The goal of using AI in pediatric anesthesia is to assist clinicians in providing safe and efficient care. Given that children are a vulnerable population, it is crucial to ensure that both clinicians and families have confidence in the clinical tools used to inform medical decision- making. While not yet a reality, the eventual incorporation of AI-based tools holds great potential to contribute to the safe and efficient care of our patients.
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Curr Opin Anaesthesiol · Jun 2024
ReviewImproving morbidity and mortality in hip fragility fractures.
Hip fragility fractures (HFF) carry high morbidity and mortality for patients and will increase in frequency and in proportion to the average patient age. Provision of effective, timely care for these patients can decrease their morbidity and mortality and reduce the large burden they place on the healthcare system. ⋯ HFF are associated with >40% chance of continued pain and inability to return to prefracture functional status at 1 year as well as >30% mortality at 2 years. In this opinion piece, we will discuss how a multidisciplinary approach that includes Anesthesia as well as utilization of peripheral nerve blocks can help to lessen postoperative issues and improve recovery.
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Curr Opin Anaesthesiol · Jun 2024
ReviewLingering effects of COVID-19 in the care of perioperative patients.
Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can lead to organ dysfunction and clinical symptoms beyond the acute infection phase. These effects may have significant implications for the management of perioperative patients. The purpose of this article is to provide a systems-based approach to the subacute and chronic effects of SARS-CoV-2 that are most relevant to anesthesiology practice. ⋯ This review offers anesthesiologists an organ system-based approach to patients with a history of COVID-19. Recognizing the long-term sequelae of SARS-CoV-2 infection can help anesthesiologists to better evaluate perioperative risk, anticipate clinical challenges, and thereby optimize patient care.
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Anesthesia and analgesia · Jun 2024
ReviewCauses of Perioperative Cardiac Arrest: Mnemonic, Classification, Monitoring, and Actions.
Perioperative cardiac arrest (POCA) is a catastrophic complication that requires immediate recognition and correction of the underlying cause to improve patient outcomes. While the hypoxia, hypovolemia, hydrogen ions (acidosis), hypo-/hyperkalemia, and hypothermia (Hs) and toxins, tamponade (cardiac), tension pneumothorax, thrombosis (pulmonary), and thrombosis (coronary) (Ts) mnemonic is a valuable tool for rapid differential diagnosis, it does not cover all possible causes leading to POCA. To address this limitation, we propose using the preload-contractility-afterload-rate and rhythm (PCARR) construct to categorize POCA, which is comprehensive, systemic, and physiologically logical. ⋯ To aid in investigating POCA causes, we suggest the Anesthetic care, Surgery, Echocardiography, Relevant Check and History (A-SERCH) list of actions. We recommend combining the Hs and Ts mnemonic, the PCARR construct, monitoring, and the A-SERCH list of actions in a rational manner to investigate POCA causes. These proposals require real-world testing to assess their feasibility.
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Anesthesia and analgesia · Jun 2024
Multicenter Study Comparative Study Observational StudyA Prospective Multicenter Comparison of Trauma and Injury Severity Score, American Society of Anesthesiologists Physical Status, and National Surgical Quality Improvement Program Calculator's Ability to Predict Operative Trauma Outcomes.
Trauma outcome prediction models have traditionally relied upon patient injury and physiologic data (eg, Trauma and Injury Severity Score [TRISS]) without accounting for comorbidities. We sought to prospectively evaluate the role of the American Society of Anesthesiologists physical status (ASA-PS) score and the National Surgical Quality Improvement Program Surgical Risk-Calculator (NSQIP-SRC), which are measurements of comorbidities, in the prediction of trauma outcomes, hypothesizing that they will improve the predictive ability for mortality, hospital length of stay (LOS), and complications compared to TRISS alone in trauma patients undergoing surgery within 24 hours. ⋯ TRISS predicts mortality better than ASA-PS and NSQIP-SRC in trauma patients undergoing surgery within 24 hours. The TRISS mortality predictive ability is not improved when combined with ASA-PS or NSQIP-SRC. However, NSQIP-SRC was the most accurate predictor of LOS and complications.