Articles: cations.
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Purpose: Cystatin C (CysC) has been linked to the prognosis of corona virus disease 2019 (COVID-19). The study aims to investigate a predictor correlated with CysC screening for poor prognosis in COVID-19 patients combined with skeletal muscle (SKM) impairment and rhabdomyolysis (RM). Methods: A single-center retrospective cohort analysis was carried out. ⋯ LDH*CysC and AST*CysC had better predictive values than CysC and the best prediction for RM, with an AUC of 0.880 (0.796,0.964) for LDH*CysC ( P < 0.05, vs CysC) and 0.925 (0.878,0.972) for AST*CysC ( P < 0.05, vs CysC). Conclusion: CysC is an essential evaluation indicator for COVID-19 patients' prognosis. AST*CysC and LDH*CysC have superior predictive value to CysC for SKM, RM, and death, and optimal classification for RM.
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As incidence of operative spinal pathology continues to grow, so do the rates of lumbar spinal fusion procedures. Comorbidity indices can be used preoperatively to predict potential complications. However, there is a paucity of research defining the optimal comorbidity indices in patients undergoing spinal fusion surgery. We aimed to use modeling strategies to evaluate the predictive validity of various comorbidity indices and combinations thereof. ⋯ This investigation is the first to use big data and modeling strategies to delineate the relative predictive utility of the ECI and Johns Hopkins Adjusted Clinical Groups comorbidity indices for the prognostication of patients undergoing lumbar fusion surgery. With the knowledge gained from our models, spine surgeons, payers, and hospitals may be able to identify vulnerable patients more effectively within their practice who may require a higher degree of resource utilization.
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The use of medications commonly prescribed after traumatic brain injury (TBI) has been little studied before TBI. This study examined the association between the use of medications that affect the central nervous system (CNS) and the occurrence and short-term mortality of TBI. ⋯ Thirty-seven percent of patients with TBI used at least 1 CNS-affecting drug. This proportion was significantly higher than in the control population (24%). The highest risk and lowest NNH for short-term mortality were observed with strong opioids, second-generation antipsychotics, and atypical antidepressants. The current risks underscore the importance of weighing the benefits and risks before prescribing CNS-affecting drugs in patients at risk of head injury.
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The opioid crisis in the United States is of public health significance, with an estimated 128 opioid overdose-related deaths per day in 2018 and a relapse rate of 90% or higher. This crisis persists despite the adoption of Medication-Assisted Treatment (MAT), therefore, there is a need to prevent relapse. ⋯ Additional research is needed to ascertain other factors predicting relapse in patients with OUD in addiction treatment centers.