Articles: cations.
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An important part of providing pain science education is to first assess baseline knowledge and beliefs about pain, thereby identifying misconceptions and establishing individually-tailored learning objectives. The Concept of Pain Inventory (COPI) was developed to support this need. This study aimed to characterize the concept of pain in care-seeking youth and their parents, to examine its clinical and demographic correlates, and to identify conceptual gaps. ⋯ The COPI appears useful for identifying conceptual gaps or 'sticking points'; this may be an important step to pre-emptively address misconceptions about pain through pain science education. Future research should determine the utility of COPI in assessing and treating youth seeking care for pain. The COPI may be a useful tool for tailoring pain science education to youth and their parents.
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Critical care medicine · Feb 2023
Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model.
Many machine learning (ML) models have been developed for application in the ICU, but few models have been subjected to external validation. The performance of these models in new settings therefore remains unknown. The objective of this study was to assess the performance of an existing decision support tool based on a ML model predicting readmission or death within 7 days after ICU discharge before, during, and after retraining and recalibration. ⋯ In this era of expanding availability of ML models, external validation and retraining are key steps to consider before applying ML models to new settings. Clinicians and decision-makers should take this into account when considering applying new ML models to their local settings.
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Surgical science has driven innovation and inquiry across adult and pediatric disciplines that provide critical care regardless of location. Surgically originated but broadly applicable knowledge has been globally shared within the pages Critical Care Medicine over the last 50 years.
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Observational Study
Demographics to define pediatric burn patients at risk of adverse outcomes.
Background: There is currently no standard definition of a severe burn in the pediatric patient population to identify those at higher risk of infectious complications. Our aim was to correlate total burn surface area (TBSA), burn depth, and type of burn injury to nosocomial infection rates and systemic immune system responses to better define risk factors associated with adverse outcomes. Methods: A prospective observational study at a single-center, quaternary-care, American Burn Association-verified pediatric burn center was conducted from 2016 to 2021. ⋯ Both burn injury characteristics were also associated with a significant increase in unstimulated IL-6 and IL-10 and soluble immunoregulatory checkpoint proteins. We observed a significant decrease in soluble B- and T-lymphocyte attenuator for those with a flame injury, but there were no other differences between flame injury and scald/contact burns in terms of innate and adaptive immune function. Conclusion: Burns with ≥20% TBSA or ≥5% full thickness in pediatric patients are associated with systemic immune dysfunction and increased risk of nosocomial infections.
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Observational Study
The slow de-implementation of non-evidence-based treatments in low back pain hospital care - trends in treatments using Dutch hospital register data from 1991 to 2018.
Low back pain (LBP) is the leading cause of disability worldwide and has an excessive societal burden. Accumulating evidence has shown that some medical approaches such as imaging in absence of clear indications, medication and some invasive treatments may contribute to the problem rather than alleviating it. ⋯ Medically intensive approaches to low-back pain care contribute to the high societal burden of this disease. There have been calls to avoid such care. Using Dutch hospital data, we showed that de-implementation of five non-recommended hospital low-back pain treatments, if at all, took several decades (i.e. ≥17 years) after availability of evidence and guidelines. Slow de-implementation has likely resulted in considerable waste of resources and avoidable harm to hospital patients; better ways for de-implementation of non-evidence-based care are needed.