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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Meta Analysis
Use of muscular ultrasound to detect intensive care unit-acquired weakness: a systematic review and Meta-analysis.
Background : This systematic review and meta-analysis aims to detecting performance of muscular ultrasound for intensive care unit (ICU)-acquired weakness (ICUAW). Methods : We searched PubMed, Web of Science, Embase, Cochrane library, CNKI, VIP, and Wanfang databases for articles published before July 2024. A random-effects model was utilized to derive the summary estimates of sensitivity, specificity, and diagnostic odds ratio (DOR) with 95% confidence interval (CI). ⋯ Furthermore, integrated analysis of these two indicators revealed that the cross-sectional area of rectus femoris was statistically superior to the thickness of rectus femoris, with higher sensitivity (0.82 [95%CI 0.74-0.87] vs. 0.75 [95%CI 0.65-0.83], P < 0.05) and AUC (0.91 [95%CI 0.88-0.93] vs. 0.80 [95%CI 0.76-0.83], P < 0.01). Conclusions : Muscular ultrasound could be a reliable tool for ICUAW detection. Compared with alternative indices, the cross-sectional area of the rectus femoris exhibits superior detection efficacy and may be considered as a valuable parameter for clinical application.
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Background: Acute lung injury (ALI) is a severe condition characterized by a high mortality rate, driven by an uncontrolled inflammatory response. Emerging evidence has underscored the crucial role of the ubiquitin system in ALI. However, because of their vast number, the specific functions of individual ubiquitination regulators remain unclear. ⋯ Results: Through screening the expression of 40 ubiquitin-specific proteases (USPs), which are responsible for removing ubiquitination, we identified several USPs that exhibited differential expression in LPS-treated HLOs compared to untreated HLOs. Notably, USP31 emerged as the most significantly upregulated USP, and the knockdown of USP31 markedly attenuated the inflammatory response of HLOs to LPS treatment. Conclusions: USP31 may play a facilitating role in the inflammatory response during ALI.
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In natural disasters such as earthquakes and landslides, the main problem that wounded survivors are confronted with is crush syndrome (CS). The aim of this study was to explore more convenient and effective early treatment measures for it. In the present study, we investigated the protective effect of fasciotomy combined with different concentration of hypertonic saline flushing with CS rats. ⋯ Among them, alternating flushing with 3%-0.45% saline had the best therapeutic effect on CS. Finally, it can be found that 3%-0.45% saline treatment regimen dramatically raised the survival rate of CS rats. All in all, this study suggests that fasciotomy combined with hypertonic saline flushing is a good therapeutic approach for CS.
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Background: Acute respiratory distress syndrome (ARDS) is a serious pathological process with high mortality. Ferroptosis is pivotal in sepsis, whose regulatory mechanisms in sepsis-induced ARDS remains unknown. We aimed to determine key ferroptosis-related genes in septic ARDS and investigate therapeutic traditional Chinese medicine. ⋯ Conclusions: Ferroptosis-related genes of IL1B , MAPK 3, and TXN serve as potential diagnostic genes for sepsis-induced ARDS. Sea buckthorn may be therapeutic medication for ARDS. This study provides a new direction for septic ARDS treatment.
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Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infection who have ≥2 in the Phoenix Sepsis Score. The adoption of the Phoenix sepsis criteria eliminated the Systemic Inflammatory Response Syndrome criteria from the definition of pediatric sepsis. The objective of this study is to derive and validate machine learning models predicting in-hospital mortality for children with suspected or confirmed infection or who met the Phoenix sepsis criteria for sepsis and septic shock. ⋯ For children with Phoenix sepsis and Phoenix septic shock, the multivariable logistic regression, light gradient boosting machine, random forest, eXtreme Gradient Boosting, support vector machine, multilayer perceptron, and decision tree models predicting in-hospital mortality had AUPRCs of 0.48-0.65 (95% CI range: 0.42-0.66), 0.50-0.70 (95% CI range: 0.44-0.70), 0.52-0.70 (95% CI range: 0.47-0.71), 0.50-0.70 (95% CI range: 0.44-0.70), 0.49-0.67 (95% CI range: 0.43-0.68), 0.49-0.66 (95% CI range: 0.45-0.67), and 0.30-0.38 (95% CI range: 0.28-0.40) and AUROCs of 0.82-0.88 (95% CI range: 0.82-0.90), 0.84-0.88 (95% CI range: 0.84-0.90), 0.81-0.88 (95% CI range: 0.81-0.90), 0.84-0.88 (95% CI range: 0.83-0.90), 0.82-0.87 (95% CI range: 0.82-0.90), 0.80-0.86 (95% CI range: 0.79-0.89), and 0.76-0.82 (95% CI range: 0.75-0.85), respectively. Conclusion: Among children with Phoenix sepsis admitted to a PICU, the random forest model had the best AUPRC for in-hospital mortality compared to the light gradient boosting machine, eXtreme Gradient Boosting, logistic regression, multilayer perceptron, support vector machine, and decision tree models or a Phoenix Sepsis Score ≥ 2. These findings suggest that machine learning methods to predict in-hospital mortality in children with suspected infection predict mortality in a PICU setting with more accuracy than application of the Phoenix sepsis criteria.