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3,537 results for “Chronic Pain”
Genome-wide association summary statistics of chronic musculoskeletal pain at four anatomic sites and their genetically independent components
<p>The dataset contains results of a genome-wide association study of distinct chronic musculoskeletal pain conditions: back pain, knee pain, neck pain, and hip pain. Additionally, there are genome-wide association summary statistics for four genetically independent components of pain conditions, listed above. For more details, please, read the paper XXX.</p> <p>All files contain association summary statistics for genome-wide association meta-analysis of the 265,000 white British individuals from the UK Biobank and additional 191,580 individuals of European Ancestry from the UK biobank (total N = 456,580). Cases and controls were defined based on questionnaire responses. First, participants responded to “Pain type(s) experienced in the last months” followed by questions inquiring if the specific pain had been present for more than 3 months. Those who reported back, neck or shoulder, hip, or knee pain lasting more than 3 months were considered chronic back, neck/shoulder, hip, and knee pain cases, respectively. Participants reporting no such pain lasting longer than 3 months were considered controls (regardless of whether they had another regional chronic pain, such as abdominal pain, or not). Individuals who preferred not to answer were excluded from the study. Besides this, we excluded individuals who reported more than 3 months of pain all over the body.</p> <p>The data are provided on an "AS-IS" basis, without warranty of any type, expressed or implied, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose. If investigators use these data, any and all consequences are entirely their responsibility. By downloading and using these data, you agree that you will cite the appropriate publication in any communications or publications arising directly or indirectly from these data; for utilization of data available prior to publication, you agree to respect the requested responsibilities of resource users under 2003 Fort Lauderdale principles; you agree that you will never attempt to identify any participant. This research has been conducted using the UK Biobank Resource and the use of the data is guided by the principles formulated by the UK Biobank.</p> <p><strong>When using downloaded data, please cite the corresponding paper and this repository:</strong></p> <ol> <li>Tsepilov et al 2020</li> </ol> <p><strong>Funding:</strong></p> <p>The work of YSA and SZS was supported by the Russian Ministry of Education and Science under the 5-100 Excellence Programme and by the Federal Agency of Scientific Organizations via the Institute of Cytology and Genetics (project 0324-2019-0040). The work of YAT, ASSh, and EEE was supported by the Russian Foundation for Basic Research (project 19-015-00151). The contribution of LСK was funded by PolyOmica. Dr. Suri was supported by VA Career Development Award # 1IK2RX001515 from the United States (U.S.) Department of Veterans Affairs Rehabilitation Research and Development (RR&D) Service. Dr. Suri is a Staff Physician at the VA Puget Sound Health Care System. The contents of this work do not represent the views of the U.S. Department of Veterans Affairs or the United States Government.</p> <p><strong>List of files:</strong></p> <ol> <li>Back_output_done.csv: GWAS summary statistics for the chronic back pain</li> <li>gpc1_output_done.csv: GWAS summary statistics for the GIP1</li> <li>gpc2_output_done.csv: GWAS summary statistics for the GIP2</li> <li>gpc3_output_done.csv: GWAS summary statistics for the GIP3</li> <li>gpc4_output_done.csv: GWAS summary statistics for the GIP4</li> <li>Hip_output_done.csv: GWAS summary statistics for the chronic hip pain</li> <li>Knee_output_done.csv: GWAS summary statistics for the chronic knee pain</li> <li>Neck_output_done.csv: GWAS summary statistics for the chronic neck pain</li> </ol> <p><strong>Column headers:</strong></p> <ol> <li>gwas_id: uninformative field</li> <li>rs_id: dbSNP rsID (GRCh37 build) </li> <li>snp_num: uninformative field</li> <li>chr: chromosome (GRCh37 build) </li> <li>bp: position (GRCh37 build) </li> <li>ea: effect allele (coded as "1")</li> <li>ra: reference allele (coded as "0")</li> <li>eaf: effect allele frequency</li> <li>af_ref: uninformative field</li> <li>beta: effect size of effect allele</li> <li>se: standard error of effect size</li> <li>p: P-value of association (without GC correction)</li> <li>n:Total sample size</li> <li>z: Z-statistic of association</li> <li>info: uninformative field</li> <li>af_outlier: uninformative field</li> <li>pz_outlier: uninformative field</li> </ol>
Genome-wide association summary statistics for sex- and age-specific analysis of chronic back pain
<p>The dataset comprises summary-level statistics for age- and sex-specific genome-wide association study of chronic back pain (cBP) in individuals of European descent from UK Biobank (<a href="https://www.ukbiobank.ac.uk/">https://www.ukbiobank.ac.uk/</a>). The study was carried out under UK Biobank approved project #18219. </p> <p><strong>The dataset accompanies the paper (please cite if using the dataset):</strong></p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/33021770/">Freidin, Maxim B.; Tsepilov, Yakov A.; Stanaway, Ian B.; Meng, Weihua; Hayward, Caroline; Smith, Blair H.; Khoury, Samar; Parisien, Marc; Bortsov, Andrey; Diatchenko, Luda; Børte, Sigrid; Winsvold, Bendik S.; Brumpton, Ben M.; Zwart, John-Anker; HUNT All-In Pain; Aulchenko, Yurii S.; Suri, Pradeep; Williams, Frances M.K. Sex- and age-specific genetic analysis of chronic back pain. Pain. 2020. doi:10.1097/j.pain.0000000000002100.</a></p> <p>The phenotype of cBP was defined as back pain for 3+ months. Linear mixed-effects additive model was fitted adjusting for age, genotyping array type, and 10 genetic PCs provided by UK Biobank. The following filters were applied: minor allele frequency >0.001, genotyping and individual call rates >0.98%, imputation quality score (INFO) >0.7. GWAS were carried out in males and females separately in the whole sample (<strong>allages</strong>) as well as in groups of younger than 65 years (<strong>under65</strong>) and 65+ years old (<strong>65plus</strong>) as detailed in the paper. Accordingly, 6 files are deposited here, corresponding to each group. </p> <p><strong>Column headers:</strong></p> <p>SNP, SNP rsID </p> <p>CHR, chromosome</p> <p>BP, genomic position (GRCh37 build)</p> <p>EA, effect allele (coded as "1")</p> <p>OTHER, other allele (coded as "0")</p> <p>A1FREQ, frequency of effect allele</p> <p>INFO, imputation quality</p> <p>BETA, effect size (for effect allele)</p> <p>SE, standard error of effect size</p> <p>PVAL, p-value for association</p>
Genome-wide association study identifies RNF123 locus as associated with chronic widespread musculoskeletal pain
<p>The dataset (CWP_GWAS_EU_ANCESTRY_UKB.txt) contains summary statistics for discovery GWAS of chronic widespread pain based on northern Europeans from UK Biobank comprising 6,914 cases of chronic widespread musculoskeletal pain and 242,929 controls. The sensitivity GWAS (CWP_sensitivity_GWAS_EU_ANCESTRY_UKB.txt) dataset contains summary statistics derived from 6,914 cases of chronic widespread musculoskeletal pain and 223,606 controls. Methodological details available here, https://doi.org/10.1101/2020.11.30.20241000 </p> <p> </p> <p> </p> <p> </p>
GWAS Summary Statistics of 7 chronic pain types
<p>Summary Statistics obtained from .fastGWA files after running GWAS analyses using GCTA package for 7 chronic pain types: back, neck, hip, knee, facial and abdominal pain as well as chronic headaches.</p>
Result of COJO analysis on 7 chronic pain types
<p>JMA files were obtained from COJO analysis ran across 7 chronic pain types: neck, back, hip, knee, abdominal, and facial and headaches. I used the GCTA-COJO tool along with the summary statistics uploaded in this repository and a reference panel produced using our bgen files from UKB. There are only 6 files uploaded as there were no SNPs returned from the COJO analysis for the chronic facial pain phenotype.</p>
Fine mapping of 5 chronic pain types
<p>Fine mapping was run with CAUSALdb-finemapping-pip using clumped GWAS data of 5 chronic pain types: chronic neck, back, hip and knee pain and chronic headaches.</p>
Ketamine Infusion for Comorbid PTSD and Chronic Pain
ClinicalTrials.gov study NCT04322968. IPD Sharing: NO. Countries: 1. Publications: 6.
Digital Therapeutic for Chronic Pain Feasibility Study
ClinicalTrials.gov study NCT06000007. IPD Sharing: YES. Countries: 1. Publications: 0.
Reducing the Transition From Acute to Chronic Musculoskeletal Pain Among Older Adults
ClinicalTrials.gov study NCT04118595. IPD Sharing: YES. Countries: 1. Publications: 4.
Evaluation of Medical Cannabis and Prescription Opioid Taper Support for Reduction of Pain and Opioid Dose in Patients With Chronic Non-Cancer Pain
ClinicalTrials.gov study NCT04827992. IPD Sharing: YES. Countries: 1. Publications: 1.
Brief Cognitive Behavioral Therapy for Chronic Pain
ClinicalTrials.gov study NCT03490981. IPD Sharing: YES. Countries: 1. Publications: 0.
Pre-op Cognitive Behavior Therapy to Decrease Chronic Post-Surgical Pain in TKA
ClinicalTrials.gov study NCT04814992. IPD Sharing: NO. Countries: 1. Publications: 48.
Effect of Peripheral Magnetic Stimulation in Patients With Chronic Lower Back Pain
ClinicalTrials.gov study NCT07243548. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Self-Management Interventions for Chronic Pain Relief With Cancer Survivors
ClinicalTrials.gov study NCT03867760. IPD Sharing: YES. Countries: 1. Publications: 1.
Study of Efficacy and Safety of SAF312 Eye Drops in Subjects With Post-operative Corneal Induced Chronic Pain (CICP)
ClinicalTrials.gov study NCT04630158. IPD Sharing: YES. Countries: 3. Publications: 1.
Serial correlation of temporal pain intensities with beta-endorphin and meta-enkephalin concentrations, following Transcutaneous Electrical Nerve Stimulation among patients with chronic low back pain: a randomized controlled trial
<p>This is a dataset for the research that evaluate the responses of plasma beta-endorphin (βE), met-enkephalin (ME) and pain intensity (PI) among patients with chronic low back pain exposed to transcutaneous electrical nerve stimulation (TENS) = Group 1 or sham-TENS = Group 2.</p> <p>The dataset codes: TENS group = 1, Sham-TENS = 2, Sex: male = 1, female = 2, Baseline = before trial, Zero_Hr = immediately after trial, One_Hr = an hour after trial, TwentyFour_Hrs = 24 hrs after trial, FortyEight_Hrs = 48 hrs after trial.</p> <p>Variables labels: group, sex, age, pain duration, systolic blood pressure (SBP), diastolic blood pressure (DBP), resting heart rate (RHR), body temperature (Temp), beta-endorphin (BE), meta-enkephalin (ME), pain intensity (PI) measured with numeric pain scale.</p> <p>To describe time series, codes were combined with variable labels E.g. TwentyFour_Hrs_BE = bete endorphin concentration after 24 hrs of intervention.</p>
Quality of life in chronic pain treated through pulsed radiofrequency therapy: A retrospective study
<p>Anxiety and depression are often symptoms present in people who suffer from chronic pain, compromising the quality of life of these individuals. The objective of this study was to assess whether a pulsed radiofrequency (PRF) treatment, in addition to psychological support intervention, can decrease chronic pain, thereby improving quality of life and restoring psychological well-being.Fifty outpatients with a diagnosis of chronic pain, without any benefit from traditional drug therapies, were selected to perform a PRF treatment in combination with a psychological intervention. They were evaluated before and after the intervention through the Hamilton Anxiety Rating Scale and the Beck Depression Inventory-II for anxiety and depression symptomatology, respectively, the Short Form Health Survey 36 (SF-36) was used to assess the subject's quality of life, and the Numerical Rating Scale was used for pain assessment.The Wilcoxon signed-rank test showed a significant difference in Beck Depression Inventory-II (P < .001), Hamilton Anxiety Rating Scale (P < .01), and Numerical Rating Scale (P = .004). In the SF-36 scores, we observed a significant difference between T0 and T1 in both mental (P < .001) and physical (P < .001) dimensions.This study shows that a chronic pain reduction leads to a decrease of anxiety-depressive symptoms and an improvement in quality of life. PRF seems to be an appropriate method to reduce the chronic pain that influences psychological well-being and quality of life.</p>
Shear modulus of the neck muscles of 20 women with and 18 women without chronic neck pain
<p>These data are measurements of neck muscle stiffness captured with shear wave elastography.</p> <p>The methods of data capture are described here: Dieterich, A.V.; Yavuz, U.S.; Petzke, F.; Nordez, A.; Falla, D. Neck muscle stiffness measured with shear wave elastography in women with chronic nonspecific neck pain. J. Orthop. Sports Phys. Ther. 2020, 50, 179-188. doi:10.2519/jospt.2020.8821</p> <p>Participants of group 0 are women with chronic neck pain (n=20).</p> <p>Participants of group 1 are women without spinal pain (control group, n=18).</p> <p>The task codes are</p> <p>61 prone headlift</p> <p>71 balance 1 kg</p> <p>5 office stress</p> <p>20 relaxed sitting</p> <p>21 NeckExtension12N</p> <p>22 NeckExtension24N</p> <p>23 NeckExtension36N</p> <p>24 NeckExtension48N</p> <p>30 NeckRotation.</p> <p>Each result is the average from three task repetitions.</p> <p>Neck muscle stiffness over the trapezius, splenius capitis, semispinalis capitis, semispinalis cervicis, and multifidus muscles is reported in shear wave velocity and shear modulus.</p> <p>Columns F-I are the normalized shear modulus. Normalization has been performed using one of the tasks as a reference.</p>
Traumatic events, post-traumatic stress disorder, and proxy measures for central sensitization in chronic pain patients of a German university outpatient pain clinic
<p>This dataset was acquired at Hannover Medical School, Hannover, Germany. The study complied with the Declaration of Helsinki, and was approved by the local ethics committee. All subjects gave written informed consent, and consent to use their data anonymously for research purposes. The study was registered at ClinicalTrials.gov (NCT05190367).</p> <p>Between February 2019 and July 2020, 914 patients who visited our outpatient pain department gave written consent to use their routinely collected data anonymously for research purposes. Participants were divided into four groups depending on their trauma severity: (1) no trauma; (2) accidental trauma (e.g. illness, accident, natural disaster); (3) interpersonal trauma (e.g. assault, rape, war); (4) PTSD (diagnosed according to ICD-10). Patients fulfilling two or more categories were assigned to the highest group.</p> <p>Data were collected using the SymptomMapper application [1]. Participants provided information about their traumas, current pain intensity (visual analogue scale, VAS (0-100) [2]), mean and maximal pain in the last 4 weeks (VAS (0-100)), sleep impairment (VAS (0-100)), acceptable pain (VAS (0-100)), pain disability index (PDI [3]), pain area (digital drawings), pain widespreadness (widespread pain index, WPI [4], derived from drawings), stress (patient health questionnaire, German version, PHQ-D [5]), anxiety (PHQ-D), depression (PHQ-D), and somatization symptoms (PHQ-D).</p> <p>This dataset contains the raw data as well as necessary scripts for reproducing the results of this study.</p> <p> </p> <p>References<br> ##########</p> <p>[1] Neubert TA, Dusch M, Karst M, Beissner F. Designing a Tablet-Based Software App for Mapping Bodily Symptoms: Usability Evaluation and Reproducibility Analysis. JMIR Mhealth Uhealth 2018;6(5):e127.<br> [2] Dworkin RH, Turk DC, Farrar JT et al. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain 2005;113(1):9-19.<br> [3] Pollard CA. Preliminary Validity Study of the Pain Disability Index. Percept Mot Skills 1984;59(3): 974.<br> [4] Wolfe F, Clauw DJ, Fitzcharles MA et al. The American College of Rheumatology Preliminary Diagnostic Criteria for Fibromyalgia and Measurement of Symptom Severity. Arthritis Care Res 2010;62(5):600-10.<br> [5] Löwe B, Spitzer RL, Zipfel S, Herzog W. Gesundheitsfragebogen für Patienten (PHQ-D). Manual und Testunterlagen (second edition). Pfizer 2002.</p>
Gene-based association analysis on 7 chronic pain types
<p>Gene-based association testing was run GCTA-fastBAT package on 7 phenotypes: chronic back, neck, hip, knee, facial, and abdominal pain and chronic headache. The summary statistics used to produce the text files required for this analysis have also been uploaded.</p>
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