Pain physician
-
As with many others in the house of medicine, the COVID-19 pandemic has adversely impacted the practice of interventional pain management. This in part relates to various state health authority or medical board restrictions with reductions in patient volume for evaluations, follow-ups, and procedures. Of course, the pandemic continues to persist which is in turn leading to longer-lasting effects. Our previous survey was performed in March 2020. At that time, there was a national lockdown in the United States with COVID-19 disease qualifying as a pandemic by the World Health Organization (WHO). The pandemic caused by COVID-19 disease continues to have far-reaching implications on how we deliver routine care to patients and its effect on patient care, economic aspects, and health of interventional pain management providers. ⋯ The COVID-19 pandemic has put interventional pain practices throughout the United States under considerable financial and psychological stress. This study seeks to quantify the extent of economic loss and other challenges resultant from the pandemic. Almost 99% reported a decrease in revenues in the last 12 months, with 86% reporting an expected reduction in the next 12 months and 49% reporting an increase in expenses. Declines have been reported in all sectors with new patients, office procedures, ASC, and HOPD procedures, except for established patient visits, which have shown minor declines compared to other domains. Understanding the issues facing interventional pain management physicians facilitates the development of strategies to actively manage provider practice/well-being, and to minimize risk to personnel to keep patients safe.
-
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.
-
During the COVID-19 pandemic, social distancing has been employed to decrease the spread of COVID-19, especially within the geriatric population; however, the resulting loneliness and isolation carry their own detrimental effects. Loneliness resulting from the COVID-19 pandemic may also have negative implications on those with chronic musculoskeletal pain. ⋯ A myriad of deleterious effects stemming from social isolation and loneliness have been documented, of which geriatric populations are especially susceptible. Both early identification of at-risk patients and safe interventions are essential to mitigate loneliness and stop the progression of debility. Further resources and research are necessary to illuminate how best to proceed, both in the setting of the ongoing pandemic and how interventions can be applied to alleviate suffering in those with limited ability to receive hospital or clinic-based care.
-
Review
The Analysis of Pain Research through the Lens of Artificial Intelligence and Machine Learning.
Traditional pain assessment methods have significant limitations due to the high variability in patient reported pain scores and perception of pain by different individuals. There is a need for generalized and automatic pain detection and recognition methods. In this paper, state-of-the-art machine learning (ML) and deep learning methods in this field are analyzed as well as pain management techniques. ⋯ While a majority of the studies focused on classification tasks, very few studies have explored the diagnosis and management of pain. Usage of ML techniques as support tools for clinicians holds an immense potential in the field of pain management.