Articles: cations.
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Anesthesia and analgesia · Feb 2025
Defining Postinduction Hemodynamic Instability With an Automated Classification Model.
Postinduction hypotension (PIH) may be associated with increased morbidity and mortality. In earlier studies, the definition of PIH is solely based on different absolute or relative thresholds. However, the time-course (eg, how fast blood pressure drops during induction) is rarely incorporated, whereas it might represent the hemodynamic instability of a patient. We propose a comprehensive model to distinguish hemodynamically unstable from stable patients by combining blood pressure thresholds with the magnitude and speed of decline. ⋯ Based on the high sensitivity and specificity, the developed model is able to differentiate between clinically relevant hemodynamic instability and hemodynamic stable patients. This classification model will pave the way for future research concerning hemodynamic instability and its prevention.
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Introduction: Unplanned intensive care unit (ICU) admissions are associated with increased morbidity and mortality. This study uses interpretable machine learning to predict unplanned ICU admissions for initial nonoperative trauma patients admitted to non-ICU locations. Methods: TQIP (2020-2021) was queried for initial nonoperative adult patients admitted to non-ICU locations. ⋯ Dependency plots showed greater SHAP values for greater ISS, age, and presence of comorbidities. Conclusions: Machine learning may outperform prior attempts at predicting the risk of unplanned ICU admissions in trauma patients while identifying unique predictors. Despite this progress, further research is needed to improve predictive performance by addressing class imbalance limitations.
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Existing research exploring predictors of success on American Board of Surgery (ABS) examinations focused on either resident or residency program characteristics, but limited studies focus on both. This study examines relationships between both resident and program characteristics and ABS qualifying (QE) and certifying examination (CE) outcomes. ⋯ This study highlights resident and program characteristics that predict success on ABS examinations. USMLE scores consistently and strongly related to ABS examination success, providing evidence that USMLE scores relate to future high-stakes consequences like board certification. After controlling for previous performance, gender, IMG, and program %IMG significantly related to ABS examination success, but effects were small.
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Background: Acute kidney injury (AKI) is a common, fatal complication of acute cholangitis (AC). The link between AC and AKI is poorly understood. Aims: To delineate the incidence trends, clinical outcomes and healthcare utilization of inpatients with AKI following AC and to explore the risk factors for AKI following AC. ⋯ Female sex, private insurance, elective admission, and endoscopic retrograde cholangiopancreatography were protective factors against AKI in AC patients. Conclusion: AKI often follows AC and is strongly associated with poor prognosis and increased healthcare utilization. Healthcare professionals should make more efforts to identify patients with AC at risk of AKI and start management promptly to limit adverse outcomes.
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Chronic pain is a pervasive and debilitating condition with increasing implications for public health, affecting millions of individuals worldwide. Despite its high prevalence, the underlying neural mechanisms and pathophysiology remain only partly understood. Since its introduction 35 years ago, brain diffusion magnetic resonance imaging (MRI) has emerged as a powerful tool to investigate changes in white matter microstructure and connectivity associated with chronic pain. ⋯ We conclude by highlighting emerging approaches and prospective avenues in the field that may provide new insights into the pathophysiology of chronic pain and potential new therapeutic targets. Because of the limited current body of research and unidentified targeted therapeutic strategies, we are forced to conclude that further research is required. However, we believe that brain diffusion MRI presents a promising opportunity for enhancing our understanding of chronic pain and improving clinical outcomes.