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Identifying and Managing Suicidality in Children and Adolescents with Chronic Pain: Evidence-Based Treatment Strategies.

Children and adolescents with chronic pain are at an increased risk of suicidality. This narrative review article aims to inform clinical practice in the assessment and management of suicidality in youth with chronic pain. The article begins with a survey of the background and prevalence of youth with chronic pain. A review of the current evidence behind the increased risk of suicidality in youth with chronic pain follows. Contextualization of this data with general tenets of child and adolescent suicide risk and risk assessment is provided. Suicidology theory including the interpersonal theory of suicide is overviewed to help clinicians to conceptualize the reviewed data. Guiding parameters for the suicide risk assessment and management planning is presented. Concluding recommendations are made to guide clinical practice in the assessment and management of suicidality in youth with chronic pain.

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A Bayesian model for chronic pain.

The perceiving mind constructs our coherent and embodied experience of the world from noisy, ambiguous and multi-modal sensory information. In this paper, we adopt the perspective that the experience of pain may similarly be the result of a probabilistic, inferential process. Prior beliefs about pain, learned from past experiences, are combined with incoming sensory information in a Bayesian manner to give rise to pain perception. Chronic pain emerges when prior beliefs and likelihoods are biased towards inferring pain from a wide range of sensory data that would otherwise be perceived as harmless. We present a computational model of interoceptive inference and pain experience. It is based on a Bayesian graphical network which comprises a hidden layer, representing the inferred pain state; and an observable layer, representing current sensory information. Within the hidden layer, pain states are inferred from a combination of priors , transition probabilities between hidden states and likelihoods of certain observations . Using variational inference and free-energy minimization, the model is able to learn from observations over time. By systematically manipulating parameter settings, we demonstrate that the model is capable of reproducing key features of both healthy- and chronic pain experience. Drawing on mathematical concepts, we finally simulate treatment resistant chronic pain and discuss mathematically informed treatment options.

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Association between sleep quality, migraine and migraine burden.

The relationship between sleep and migraine is well known to be bidirectional. However, few studies have systematically assessed the association between sleep quality and the risk of developing migraine, and its gender and age differences are unclear. And there is currently limited evidence on the associations between sleep quality and migraine-related burdens.

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Novel PET Imaging of Inflammatory Targets and Cells for the Diagnosis and Monitoring of Giant Cell Arteritis and Polymyalgia Rheumatica.

Giant cell arteritis (GCA) and polymyalgia rheumatica (PMR) are two interrelated inflammatory diseases affecting patients above 50 years of age. Patients with GCA suffer from granulomatous inflammation of medium- to large-sized arteries. This inflammation can lead to severe ischemic complications (e.g., irreversible vision loss and stroke) and aneurysm-related complications (such as aortic dissection). On the other hand, patients suffering from PMR present with proximal stiffness and pain due to inflammation of the shoulder and pelvic girdles. PMR is observed in 40-60% of patients with GCA, while up to 21% of patients suffering from PMR are also affected by GCA. Due to the risk of ischemic complications, GCA has to be promptly treated upon clinical suspicion. The treatment of both GCA and PMR still heavily relies on glucocorticoids (GCs), although novel targeted therapies are emerging. Imaging has a central position in the diagnosis of GCA and PMR. While [F]fluorodeoxyglucose (FDG)-positron emission tomography (PET) has proven to be a valuable tool for diagnosis of GCA and PMR, it possesses major drawbacks such as unspecific uptake in cells with high glucose metabolism, high background activity in several non-target organs and a decrease of diagnostic accuracy already after a short course of GC treatment. In recent years, our understanding of the immunopathogenesis of GCA and, to some extent, PMR has advanced. In this review, we summarize the current knowledge on the cellular heterogeneity in the immunopathology of GCA/PMR and discuss how recent advances in specific tissue infiltrating leukocyte and stromal cell profiles may be exploited as a source of novel targets for imaging. Finally, we discuss prospective novel PET radiotracers that may be useful for the diagnosis and treatment monitoring in GCA and PMR.

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Transforming Standard of Care for Spine Surgery: Integration of an Online Single-Session Behavioral Pain Management Class for Perioperative Optimization.

Estimates suggest that 10-40% of lumbar spine surgery patients experience persistent post-surgical pain (PPSP). PPSP is associated with 50% greater healthcare costs, along with risks of emotional distress and impaired quality of life. In 2019, U.S. Health and Human Services identified brief and digital behavioral treatments as important for pain management after surgery. Indeed, brief behavioral pain treatments delivered in the perioperative period may offer patients a low burden opportunity to acquire essential pain coping strategies for enhanced surgical recovery. Additionally, the COVID-19 pandemic has diminished in-person pain treatment access during extended perioperative time frames, thus underscoring the need for on-line options and home based care. This report describes the integration of an online, live-instructor delivered single-session pain self-management intervention (Empowered Relief) into the standard of care for lumbar spine surgery. Here, we apply the RE-AIM framework; describe systems implementation of the Empowered Relief intervention in a large, academic medical center during the COVID-19 pandemic; describe operational challenges and financial considerations; and present patient engagement data. Finally, we discuss the scalable potential of Empowered Relief and other single-session interventions in surgical populations, their importance during extended perioperative periods, practical and scientific limitations, and new directions for future research on this topic.

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Spatial and Temporal Distribution of Information Processing in the Human Dorsal Anterior Cingulate Cortex.

The dorsal anterior cingulate cortex (dACC) is a key node in the human salience network. It has been ascribed motor, pain-processing and affective functions. However, the dynamics of information flow in this complex region and how it responds to inputs remain unclear and are difficult to study using non-invasive electrophysiology. The area is targeted by neurosurgery to treat neuropathic pain. During deep brain stimulation surgery, we recorded local field potentials from this region in humans during a decision-making task requiring motor output. We investigated the spatial and temporal distribution of information flow within the dACC. We demonstrate the existence of a distributed network within the anterior cingulate cortex where discrete nodes demonstrate directed communication following inputs. We show that this network anticipates and responds to the valence of feedback to actions. We further show that these network dynamics adapt following learning. Our results provide evidence for the integration of learning and the response to feedback in a key cognitive region.

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The use of paracetamol during pregnancy: A qualitative study and possible strategies for a clinical trial.

Paracetamol (N-acetyl-p-aminophenol (APAP), also known as acetaminophen) is used to relieve mild to moderate pain and reduce fever. APAP is widely used during pregnancy as it is considered safe when used as directed by regulatory authorities. However, a significant amount of epidemiological and experimental research suggests that prenatal exposure potentially alters fetal development. In this paper, we summarize the potentially harmful adverse effects of APAP and the limitations of the current evidence. It highlights the urgent need for a clinical trial, and the aim of the presented qualitative pilot study on APAP use during pregnancy is the feasibility of a large-scale randomized controlled trial (RCT). In the qualitative study, we included 232 Danish women from three hospitals in the spring of 2021. After recognizing the pregnancy, 48% had taken any APAP, and 6% had taken it weekly or more than weekly. A total of 27% who had taken APAP in the first trimester of pregnancy (even rarely) would potentially participate in an RCT. In a potential clinical trial, the women would need to be included early in the 1st trimester as the suspected harmful effects of APAP lies within this early reproductive developmental window. A possible recruitment strategy was explored. These data suggest that the target population appears positive towards an RCT. As a negative attitude among users has been considered the major hindrance for such a study, we cannot see hindrances for performing an RCT.

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Maximal aerobic capacity is associated with lifting capacity, but not with self-reported functioning measures in patients with primary chronic low back pain: a cross-sectional study.

Maximal exercise testing is considered the gold standard to assess V̇Omax. However, maximal exercise testing was previously deemed unfeasible and unsafe in chronic low back pain (CLBP) patients. Consequently, most previous studies on aerobic capacity and functioning in patients with CLBP were performed with submaximal testing protocols. A recent study demonstrated the safety, feasibility and tolerance of maximal exercise testing in patients with CLBP. Therefore, the relation between aerobic capacity and functioning should be reevaluated. This cross-sectional study aims to determine the relationship between maximal aerobic capacity and four measures of functioning: lifting capacity, work ability, pain-related disability and physical functioning in patients with CLBP.

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Multi-waveform Spinal Cord Stimulation with High Frequency Electromagnetic Coupled (HF-EMC) Powered Implanted Electrode Array and Receiver for the Treatment of Chronic Back and Leg Pain (SURF Study).

Novel externally powered spinal cord stimulation technology can be fully implanted when trialing the effectiveness of the therapy, since no percutaneous leads are needed, and the trial period lasted 30 days. Multiple tests of different stimulation modalities and parameters are possible, thus improving the chances that the therapy will lead to effective pain reduction.

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Cannabis Use for Endometriosis: Clinical and Legal Challenges in Australia and New Zealand.

Endometriosis is a difficult to manage condition associated with a significant disease burden. High levels of illicit cannabis use for therapeutic purposes have been previously reported by endometriosis patients in Australia and New Zealand (NZ). Although access to legal medicinal cannabis (MC) is available through medical prescription via multiple federal schemes, significant barriers to patient access remain. An anonymous cross-sectional online survey was developed and distributed through social media via endometriosis advocacy groups worldwide. Respondents were asked about legal versus illicit cannabis usage, their understanding of access pathways and legal status, and their interactions with health care professionals. Of 237 respondents who reported cannabis use with a medical diagnosis of endometriosis, 186 (72.0%) of Australian and 51 (88.2%) NZ respondents reported self-administering cannabis illicitly. Only 23.1% of Australian and 5.9% of NZ respondents accessed cannabis through a doctor's prescription, with 4.8% of Australian and no NZ respondents reporting to legally self-administer cannabis. Substantial substitution effects (>50% reduction) were observed in users of nonopioid analgesia (63.1%), opioid analgesia (66.1%), hormonal therapies (27.5%), antineuropathics (61.7%), antidepressants (28.2%) and antianxiety medications (47.9%). Of Australian respondents, 18.8% and of NZ respondents, 23.5% reported not disclosing their cannabis use to their medical doctor, citing concern over legal repercussions, societal judgment, or their doctors' reaction and presumed unwillingness to prescribe legal MC. Respondents self-reported positive outcomes when using cannabis for management of endometriosis, demonstrating a therapeutic potential for MC. Despite this, many are using cannabis without medical supervision. While evidence for a substantial substitution effect by cannabis was demonstrated in these data, of particular concern are the clinical consequences of using cannabis without medical supervision, particularly with regard to drug interactions and the tapering or cessation of certain medications without that supervision. Improving doctor and patient communication about MC use may improve levels of medical oversight, the preference for legal MC adoption over acquisition via illicit supply and reducing cannabis-associated stigma.

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