Pain medicine : the official journal of the American Academy of Pain Medicine
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Case Reports Randomized Controlled Trial Multicenter Study
Efficacy and safety of intravenous immunoglobulin as adjuvant treatment for refractory neuropathic pain. Results of an open-label, multicenter study.
Neuropathic pain is frequently associated with many peripheral nervous system diseases and its successful treatment is an area of significant and critical unmet need. ⋯ This unblinded pilot study showed a beneficial effect of IVIG on neuropathic pain intensity and quality of life in patients resistant to conventional treatments.
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The objective of this study was to describe and evaluate the Internet resources available to patients searching for information about chronic urogenital/pelvic pain. ⋯ As in other areas of chronic pain, there is a wealth of information available online, but much is of poor quality, and taken together, is likely to confuse more than enlighten patients attempting to understand male urogenital/pelvic pain symptoms or supplement information from health care professionals.
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To evaluate and compare the validity and reliability of individual and composite recall pain intensity measures. ⋯ Individual recall ratings and a composite score representing recalled characteristic pain intensity are reliable and valid measures of actual pain in patients with cancer. The findings support their use as outcome measures in clinical trials.
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Clinical Trial
Prospective study of 3-year follow-up of low-dose intrathecal opioids in the management of chronic nonmalignant pain.
Long-term follow-up with the use of low-dose opioids in intrathecal (IT) drug delivery system (DDS) for the treatment of intractable, severe chronic nonmalignant pain. ⋯ Low-dose IT opioid can provide sustained significant improvement in pain and function for long-term follow-up in chronic noncancer pain.
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The purpose of this project was to determine whether machine-learning classifiers could predict which patients would require a preoperative acute pain service (APS) consultation. ⋯ Using historical data, machine-learning classifiers can predict which surgical cases should prompt a preoperative request for an APS consultation. Dimensional reduction improved computational efficiency and preserved predictive performance.