Shock : molecular, cellular, and systemic pathobiological aspects and therapeutic approaches : the official journal the Shock Society, the European Shock Society, the Brazilian Shock Society, the International Federation of Shock Societies
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Introduction: Veno-venous extracorporeal membrane oxygenation (VV ECMO) improves hypoxemia and carbon dioxide clearance in patients with severe respiratory derangements. A greater understanding of the potential benefits of VV ECMO in trauma patients could lead to broader adoption. We hypothesize that trauma patients who receive VV ECMO have improved mortality outcomes when compared to those receiving conventional ventilator management given the rapid stabilization VV ECMO promotes. ⋯ Corresponding hazard ratio for VV ECMO use was 0.31 (95% CI 0.18-0.52; P < 0.001). The odds ratio of mortality in matched trauma patients who receive VV ECMO versus conventional treatment was 0.29 (95% CI 0.14-0.58; P < 0.001). Conclusion: VV ECMO may represent a safe, alternative treatment approach for appropriately screened trauma patients with acute respiratory failure; however, further studies are warranted.
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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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Observational Study
Fluid Overload Modifies Hemodynamic Impact of CRRT: Evidence of a Covert Cardiorenal Syndrome?
Background: Fluid overload (FO) in critically ill children correlates with higher morbidity and mortality rates. Continuous renal replacement therapy (CRRT) is commonly employed to manage FO. In adults, both FO and CRRT adversely affect myocardial function. ⋯ Differences were noted in systemic vascular resistance index (1,277 [IQR 1088-1,666] vs. 1,030 [IQR 868-1,181] dynes/s/cm 5 /m 2 , P < 0.01), and cardiac index (3.90 [IQR 3.23-4.75] vs. 5.68 [IQR 4.65-6.32] L/min/m 2 , P < 0.01), with no differences in heart rate or mean arterial pressure between children with and without FO. Conclusion: FO affects the hemodynamic profile of children on CRRT, with those having FO >15% showing higher systemic vascular resistance index and lower cardiac index, despite heart rate and mean arterial pressure remaining unchanged. Our study illustrates the feasibility and utility of electrocardiometry in these patients, suggesting future research employ this technology to further explore the hemodynamic effects of dialysis in children.
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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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Background : Extracorporeal membrane oxygenation (ECMO) is an effective technique for providing short-term mechanical support to the heart, lungs, or both. During ECMO treatment, the inflammatory response, particularly involving cytokines, plays a crucial role in pathophysiology. However, the potential effects of cytokines on patients receiving ECMO are not comprehensively understood. ⋯ Spearman correlation analyses and Mantel tests revealed that the expression of hub cytokines (IL1R2, CCL4, and IL7R) and pivotal molecular pathways scores (complement and coagulation cascades, IL6/JAK/STAT3 signaling, and para-inflammation) were closely related. Conclusion : A predictive model (CRG classifier) comprising nine CRGs based on multiple machine learning algorithms was constructed, potentially assisting clinicians in guiding individualized ECMO treatment. Additionally, elucidating the underlying mechanistic pathways of cytokines during ECMO will provide new insights into its treatment.