Journal of critical care
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Journal of critical care · Dec 2019
A pilot study evaluating a simple cardiac dysfunction score to predict complications and survival among critically-ill patients with traumatic brain injury.
To describe the frequency of cardiovascular complications and cardiac dysfunction in critically-ill patients with moderate-severe traumatic brain injury (msTBI) and cardiac factors associated with in-hospital survival. ⋯ Cardiac dysfunction was common in patients with msTBI and independently associated with more severe brain injury and a reduction in hospital survival in this population. Further research is needed to validate the CDI and create more precise scoring tools.
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Journal of critical care · Dec 2019
Multicenter StudyRapid sequence induction traceability in an ICU dedicated patient data management system: a multicentric retrospective study.
Patient data management systems (PDMS) are widely used in intensive care units (ICUs) to improve care traceability. Verbal orders are still used for prescriptions requiring immediate execution but should be subsequently recorded in the system. We assessed the rapid sequence induction (RSI) traceability for endotracheal intubation in an ICU dedicated PDMS. ⋯ PDMS are supposed to improve prescription completeness and traceability, but our study suggests an opposite result. A co-responsibility policy between physicians and nurses should be promoted to improve care traceability. PDMS ergonomic improvements and enhanced integration in clinical workflow might also result in better compliance with documentation requirements. In each centre, indicators of PDMS correct use should be defined and periodically monitored.
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Journal of critical care · Dec 2019
Comparative StudyComparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries.
To compare twenty-two machine learning (ML) models against logistic regression on survival prediction in severe traumatic brain injury (STBI) patients in a single center study. ⋯ The twenty-two ML models selected have capabilities comparable to classical LR model for outcome prediction in STBI patients. Of these, Cubic SVM, Quadratic SVM, Linear SVM performed significantly better than LR.
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Journal of critical care · Dec 2019
Quality of care and safety measures of acute renal replacement therapy: Workgroup statements from the 22nd acute disease quality initiative (ADQI) consensus conference.
There is wide variation in the practice of acute renal replacement therapy (RRT). Quality of care is suboptimal, and substantial knowledge-to-care gaps need to be addressed. The quality of care for patients receiving acute RRT has been recognized as a clinical and research priority. Quality indicators (QIs) can be implemented to measure the quality of care received by patients and further be used as targets for continuous quality improvement initiatives focused on the prescription, delivery, and monitoring of acute RRT care. ⋯ Currently, there remains few validated QIs for acute RRT. These need further evaluation, need benchmarks established, and ultimately require implementation into clinical practice.