Pain physician
-
Postoperative pain after total knee arthroplasty (TKA) is intense and remains an unsolved problem. Some studies show that perioperative, multimodal analgesia, including intravenous dexamethasone, can provide a better analgesic effect; however, the validity of studies has raised concerns and questions remain around the efficacy, dosing, and safety of dexamethasone in patients undergoing total knee arthroplasty. ⋯ Our results supported the addition of perioperative intravenous dexamethasone to multimodal analgesia in total knee arthroplasty to reduce postoperative pain, opioids consumption, and length of hospital stay. Current evidence did not support the superiority of repeated-dose dexamethasone over single-dose dexamethasone; thus, we recommended perioperative 8-10 mg intravenous dexamethasone to be used based on adequate basic analgesia; however, the results may have been affected by small sample sizes and heterogeneity.
-
Randomized Controlled Trial
Comparison of Increase in the Optic Nerve Sheath Diameter between Epidural Saline and Contrast Medium Injections.
Normal saline or contrast medium is one of the widely used injection materials during fluoroscopic guided injections. Optic nerve sheath diameter (ONSD) measurement is a reliable and noninvasive method for intracranial pressure evaluation. ⋯ Thoracic epidural injection of 5 mL normal saline or contrast medium resulted in a significant increase of ONSD compared to baseline; however, the degree of ONSD increase was more attenuated in the contrast group than the saline group.
-
Selective nerve root block has been widely used to treat degenerative disc disease (DDD), but no detailed research data is provided to compare the efficacy of epidural injection of anesthetics with or without steroids on the DDD treatment. ⋯ The addition of steroids to anesthetic injectates was associated with a better NRS-11 and ODI compared with LA alone within one year in patients with DDD. Furthermore, the improvement of the ODI was observed within 2 years in patients with lumbar DDD.
-
Observational Study
A Pilot Study Implementing a Machine Learning Algorithm to Use Artificial Intelligence to Diagnose Spinal Conditions.
Chronic spinal pain is the most prevalent chronic disease, with chronic persistent spinal pain lasting longer than one-year reported in 25% to 60% of the patients. Health care expenditures have been escalating and the financial impact on the US economy is growing. Among multiple modalities of treatments available, facet joint interventions and epidural interventions are the most common ones, in addition to surgical interventions and numerous other conservative modalities of treatments. Despite these increasing costs in the diagnosis and management, disability continues to increase. Consequently, algorithmic approaches have been described as providing a disciplined approach to the use of spinal interventional techniques in managing spinal pain. This approach includes evaluative, diagnostic, and therapeutic approaches, which avoids unnecessary care, as well as poorly documented practices. Recently, techniques involving artificial intelligence and machine learning have been demonstrated to contribute to the improved understanding, diagnosis, and management of both acute and chronic disease in line with well-designed algorithmic approach. The use of artificial intelligence and machine-learning techniques for the diagnosis of spinal pain has not been widely investigated or adopted. ⋯ Software-predicted diagnoses based on the data from patients with spinal pain had an accuracy rate of 72%, suggesting promise for augmented decision making using artificial intelligence in this setting.