Articles: cations.
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Treatment of persistent spinal pain syndrome (PSPS) is challenging. Chronic pain associated with PSPS can lead to an impaired ability to work. ⋯ Neuropathic pain medication and antidepressant use suggest that pain continues after the DP-that is, pensioners continue to experience inconvenient chronic pain. Resources for patient care are therefore needed after the DP. However, the DP reduces the dose increase of gabapentinoids; the dose is higher immediately before retirement than at the end of the follow-up.
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In the United States, a public-health crisis of opioid overuse has been observed, and in Europe, prescriptions of opioids are strongly increasing over time. The objective was to develop and validate a multivariable prognostic model to be used at the beginning of an opioid prescription episode, aiming to identify individual patients at high risk for long-term opioid use based on routinely collected data. Predictors including demographics, comorbid diseases, comedication, morphine dose at episode initiation, and prescription practice were collected. ⋯ Using a threshold of 10% predicted probability to identify patients at high risk, the overall accuracy of this risk prediction model was 81.6% (95% confidence interval 81.2% to 82.0%). Our study demonstrated that long-term opioid use can be predicted at the initiation of an opioid prescription episode, with satisfactory accuracy using data routinely collected at a large health insurance company. Traditional statistical methods resulted in higher discriminative ability and similarly good calibration as compared with machine learning approaches.
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J. Cardiothorac. Vasc. Anesth. · Jan 2024
Perioperative Management of Patients Receiving Sodium-Glucose Cotransporter 2 Inhibitors: Development of a Clinical Guideline at a Large Academic Medical Center.
The use of sodium-glucose cotransporter 2 inhibitors (SGLT2i) is increasing rapidly for patients with diabetes, heart failure, and chronic kidney disease. These medications can cause euglycemic diabetic ketoacidosis in the perioperative period, and the Food and Drug Administration recently updated their recommendations that they be held for at least 3-to-4 days preoperatively. ⋯ At the University of Pennsylvania, a multidisciplinary team from the Departments of Anesthesiology, Endocrinology, and Pharmacy has developed comprehensive guidelines detailing preoperative, intraoperative, and postoperative management for patients using these medications. In this article, the authors present these guidelines and discuss challenges encountered while implementing them at a large academic medical center with satellite hospitals and surgery centers with varying resources and patient populations.
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The coronavirus disease 19 (COVID-19) pandemic negatively affected children's health in the United States (US), with more severe disruption for marginalized groups. However, potential impact on pediatric chronic pain has not been assessed at the population level. This study aimed to (1) estimate differences in the US national prevalence of pediatric chronic pain during the first year of the COVID-19 pandemic (2020), relative to one year earlier (2019); (2) determine whether differences in prevalence varied across sociodemographic groups; and (3) explore changes in child, caregiver, and family factors associated with chronic pain prevalence. ⋯ Contrary to hypotheses, the adjusted prevalence of chronic pain was 31% lower in 2020 than in 2019 (aPR = 0.69, 95% CI: 0.61, 0.79), adjusting for child age, sex, race or ethnicity, caregiver education, neighborhood park or playground, and census region. The 2019 to 2020 change in chronic pain prevalence was similar by age ( P = 0.34), sex ( P = 0.94), race or ethnicity ( P = 0.41), caregiver education ( P = 0.49), neighborhood park or playground ( P = 0.22), and census region ( P = 0.20). Exploratory analyses identified 3 potential contributors to the unexpected decrease in the national prevalence of pediatric chronic pain: lower prevalence of bullying, more frequent family meals, and higher family resilience.
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Sepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of machine learning (ML) techniques to bridge the gap between clinical data and gene expression information to better predict and understand sepsis. We discuss the application of ML algorithms, including neural networks, deep learning, and ensemble methods, to address key evidence gaps and overcome the challenges in sepsis research. ⋯ Collaborative efforts between clinicians and data scientists are essential for the successful implementation and translation of ML models into clinical practice. Machine learning has the potential to revolutionize our understanding of sepsis and significantly improve patient outcomes. Further research and collaboration between clinicians and data scientists are needed to fully understand the potential of ML in sepsis management.