Active clinical trials for "Chronic Pain"

The study attempts to quantify the relative risks for acute postoperative pain, complications rate, chronic postoperative pain (CPIP) and recurrence rate after different methods of repair of groin, umbilical and incisional hernia depending on surgical technique, mesh type and fixation suture material. For this purpose the investigators will analyze data from the Kalinigrad Hernia Registry (KHR).

Fibromyalgia Syndrome (FMS) is a complex syndrome that mainly includes the musculoskeletal system and is characterized by many symptoms such as chronic widespread pain, fatigue and sleep disorders, cognitive dysfunctions, regional pain syndrome, psychiatric disorders. The existence and importance of the multidimensional nature of chronic pain in FMS has been demonstrated. Factors such as pain intensity, persistence of pain, pain-related disability, and novelty of onset are all important characteristics of a chronic pain condition. Therefore, there was a need for a global measure of chronic pain severity that summarized different measures of pain and a graded classification of chronic pain was proposed. Patients with chronic pain such as FMS are known to have a greater negative impact than many chronic medical conditions. Chronic pain severity in FMS has been found to be associated with various conditions such as function and health status, and it has been shown that reduction in pain severity provides broadly beneficial results on these conditions. However; there are no studies in which chronic pain severity in FMS is classified by grading and investigating the relationship of different pain severity degrees with disease severity and other symptoms. The aim of this study is to evaluate whether the severity of the disease, kinesiophobia, and concerns about pain differ in individuals with different pain severity by grading the severity of pain in individuals with fibromyalgia syndrome.

The purpose of this longitudinal exploratory prospective study is to investigate the brain changes in the development of chronic low back pain.

According to the WHO, pain is an "unpleasant sensory and emotional experience, linked to existing or potential tissue damage, or described in terms suggestive of such damage". It is a legal obligation to evaluate and take care of it (law of 03/04/2022). However, there are still areas where this is not addressed, particularly in cirrhotic patients (Piano V et al. 2023). The global prevalence of cirrhosis increased by 74.53% between 1990 and 2017 (Liu YB et al, 2022, INSERM France file and Zhai M et al. 2021). In France, the prevalence of cirrhosis is estimated to be 200,000 patients (Cohorte Constances 2017; Serfaty 2019). The causes are varied: toxic (alcohol), viral (hepatitis B, C, HIV), genetic (hemochromatosis, primary biliary cirrhosis) but also iatrogenic or linked to a metabolic syndrome, non-alcoholic fatty liver disease. The first symptoms of cirrhosis are fatigue, loss of appetite and weight, nausea and vomiting, discomfort and abdominal pain. More serious symptoms may appear such as depression, confusion, sleep disturbances, edema of the lower limbs, ascites, severe pruritus or jaundice. All of these symptoms can be the cause of the pain. However, to date, there are no studies in France on the epidemiology of pain in patients with cirrhosis (Piano V et al. 2023, Klinge M, et al, 2018). To evaluate the prevalence of pain in cirrhotic patients hospitalized at the Center Hospitalier de la Dracénie in Draguignan. Patients hospitalized at the Dracénie CH with a diagnosis of cirrhosis in its patients will be identified in the various departments by a referring doctor who will have to contact Dr PIANO. The latter, as investigating doctor, will then be able to select the patients meeting the inclusion criteria of the protocol and the informants of the existence of the research. He will explain the study to them in detail, give them sufficient time for reflection before obtaining their oral agreement and giving them the information-no-opposition letter. The research will require a single consultation lasting between 15 and 45 minutes. During the visit, the patient will be asked whether or not they are experiencing pain.

Fibromyalgia (FM) is a chronic musculoskeletal pain disorder that afflicts up to 4% of the general population. The evaluation of pain mechanisms in FM has shown predominant central abnormalities and therefore has been designated as nociplastic pain syndrome. Rheumatoid arthritis (RA) is characterized by polyarthritis and pain from inflamed tissues, consistent with nociceptive pain. FM and RA patients may utilize overlapping pain mechanisms resulting in nociceptive and nociplastic pain.

This study will evaluate de-identified (anonymous) data in subject medical charts to review the clinical outcomes of various treatment approaches in the treatment of chronic pain.

This protocol will report on the validation of IASP clinical criteria for indentifying nociplastic pain. The study will include 2 phases. In the first phase, the vignette method will be used while the second phase will include the use of the algorithm in the evaluation of patients with chronic pain.

This study addresses the timely problem of painful temporomandibular disorders (TMD), the most common cause of orofacial pain second only to tooth pain. Findings from previous studies suggest that dysregulation of connectivity within specific brain circuits is part of chronic pain pathophysiology. This study will identify connectivity patterns within those brain circuits as potential signatures for pain- related disability in chronic TMD pain participants. New knowledge regarding these brain connectivity patterns is expected to be significant because it will support improved phenotyping of this heterogeneous participant population. It is also expected that this finding can potentially be extrapolated to other chronic pain conditions, such as back pain, migraine headache, and fibromyalgia that are frequently comorbid conditions in chronic TMD participants.

Personalized medicine is a concept in which medical care is individualized to a patient based on their unique characteristics, including comorbidities, demographics, genetics, and microbiome. After major surgery, some patients are at increased risk of opioid dependence. By identifying unique genetic and microbiome markers, clinicians may potentially identify individual risk factors for opioid dependence. By identifying these high risk patients early-on, personalized interventions may be applied to these patients in order to reduce the incidence of opioid-dependence.

Introduction: The association between chronic widespread pain (CWP) and disability is well-established. Although research support large inter-individual differences in functional outcomes, limited studies are available on the socio-economic consequences of offering stratified treatment based on prognostic factors. Identification of predictors of long-term functional outcomes such as work disability as a critical consequence, could assist early and targeted personalised interventions. The primary objective of this cohort study is to identify prognostic factors for the primary endpoint work status (employed and working vs not working) in patients with CWP assessed 3- years from baseline, i.e. at referral for specialist care. Methods and analyses: Data are collected at the diagnostic unit at Department of Rheumatology, Frederiksberg Hospital. The first 1,000 patients >=18 years of age registered in a clinical research database (DANFIB registry) with CWP either "employed and working" or "not working" will be enrolled. Participants must meet the American College of Rheumatology (ACR) 1990 definition of CWP, i.e. pain in all four body quadrants and axially for more than three months and are additionally screened for fulfilment of criteria for FM. Clinical data and patient-reported outcomes are collected at referral (baseline) through clinical assessment and electronic questionnaires. Data on the primary endpoint work status at baseline and 3- years from baseline will be extracted from the Integrated Labour Market Database, Statistics Denmark and the nationwide Danish DREAM database. Prognostic factor analysis will be based on multivariable logistic regression modelling with the dichotomous work status as dependent variable.