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Valdes-Hernandez PA, Johnson AJ, Montesino-Goicolea S, Nodarse CL, Bashyam V, Davatzikos C, Fillingim RB, Cruz-Almeida Y. Accelerated Brain Aging Mediates the Association Between Psychological Profiles and Clinical Pain in Knee Osteoarthritis. THE JOURNAL OF PAIN 2024; 25:104423. [PMID: 37952863 PMCID: PMC11144298 DOI: 10.1016/j.jpain.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 10/12/2023] [Accepted: 11/02/2023] [Indexed: 11/14/2023]
Abstract
Chronic pain is driven by factors across the biopsychosocial spectrum. Previously, we demonstrated that magnetic resonance images (MRI)-based brain-predicted age differences (brain-PAD: brain-predicted age minus chronological age) were significantly associated with pain severity in individuals with chronic knee pain. We also previously identified four distinct, replicable, multidimensional psychological profiles significantly associated with clinical pain. The brain aging-psychological characteristics interface in persons with chronic pain promises elucidating factors contributing to their poor health outcomes, yet this relationship is barely understood. That is why we examined the interplay between the psychological profiles in participants having chronic knee pain impacting function, brain-PAD, and clinical pain severity. Controlling for demographics and MRI scanner, we compared the brain-PAD among psychological profiles at baseline (n = 164) and over two years (n = 90). We also explored whether profile-related differences in pain severity were mediated by brain-PAD. Brain-PAD differed significantly between profiles (ANOVA's omnibus test, P = .039). Specifically, participants in the profile 3 group (high negative/low positive emotions) had an average brain-PAD ∼4 years higher than those in profile- (low somatic reactivity), with P = .047, Bonferroni-corrected, and than those in profile 2 (high coping), with P = .027, uncorrected. Repeated measures ANOVA revealed no significant change in profile-related brain-PAD differences over time, but there was a significant decrease in brain-PAD for profile 4 (high optimism/high positive affect), with P = .045. Moreover, profile-related differences in pain severity at baseline were partly explained by brain-PAD differences between profile 3 and 1, or 2; but brain-PAD did not significantly mediate the influence of variations in profiles on changes in pain severity over time. PERSPECTIVE: Accelerated brain aging could underlie the psychological-pain relationship, and psychological characteristics may predispose individuals with chronic knee pain to worse health outcomes via neuropsychological processes.
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Affiliation(s)
- Pedro A. Valdes-Hernandez
- Department of Community Dentistry and Behavioral Science, University of Florida, USA
- Pain Research and Intervention Center of Excellence, University of Florida, USA
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA
| | - Alisa J. Johnson
- Department of Community Dentistry and Behavioral Science, University of Florida, USA
- Pain Research and Intervention Center of Excellence, University of Florida, USA
| | - Soamy Montesino-Goicolea
- Department of Community Dentistry and Behavioral Science, University of Florida, USA
- Pain Research and Intervention Center of Excellence, University of Florida, USA
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA
| | - Chavier Laffitte Nodarse
- Department of Community Dentistry and Behavioral Science, University of Florida, USA
- Pain Research and Intervention Center of Excellence, University of Florida, USA
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA
| | - Vishnu Bashyam
- Center for Biomedical Image Computing & Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA
- Artificial Intelligence in Biomedical Imaging Lab (AIBIL), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA
| | - Christos Davatzikos
- Center for Biomedical Image Computing & Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA
| | - Roger B. Fillingim
- Department of Community Dentistry and Behavioral Science, University of Florida, USA
- Pain Research and Intervention Center of Excellence, University of Florida, USA
| | - Yenisel Cruz-Almeida
- Department of Community Dentistry and Behavioral Science, University of Florida, USA
- Pain Research and Intervention Center of Excellence, University of Florida, USA
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA
- Department of Neuroscience, College of Medicine, University of Florida, USA
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Saragih ID, Suarilah I, Saragih IS, Lin YK, Lin CJ. Efficacy of serious games for chronic pain management in older adults: A systematic review and meta-analysis. J Clin Nurs 2024; 33:1185-1194. [PMID: 38291564 DOI: 10.1111/jocn.17012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 12/14/2023] [Accepted: 01/07/2024] [Indexed: 02/01/2024]
Abstract
AIMS AND OBJECTIVES To synthesise and appraise the evidence of the efficacy of serious games in reducing chronic pain among older adults. BACKGROUND Chronic pain in older adults generally results in a substantial handicap due to decreased mobility, exercise avoidance and various concerns that affect their overall quality of life. While serious games have been widely used as a pain management approach, no reviews have thoroughly examined their efficacy for chronic pain management in older adult populations. DESIGN A systematic review and meta-analysis. METHODS The CINAHL, the Cochrane Library, Embase, Medline, PubMed and Web of Science databases were comprehensively searched to find articles published from their inception until 17 April 2023. RoB-2 was used to assess the risk of bias in the included studies. The efficacy of serious games for pain management in older individuals was investigated using pooled standardised mean differences (SMDs) in pain reduction using a random effect model. RESULTS The meta-analysis comprised nine randomised controlled trials that included 350 older adult patients with pain. Serious games effectively alleviated pain in this group (pooled SMD = -0.62; 95% confidence interval: -1.15 to -0.10), although pain-related disability and fear require further investigation. CONCLUSIONS Serious games tended to effectively reduce pain in this older adult group; however, due to a lack of randomised controlled trials, the analysis found lower effectiveness in reducing pain-related disability and fear. Further studies are accordingly required to confirm these findings. RELEVANCE TO CLINICAL PRACTICE The findings of the study emphasise the importance of serious games to increase the motivation of older adults to exercise as one of the safe and extensively used pain management strategies. Serious games that effectively reduce chronic pain in older adults are characterised as consisting of diverse physical activities delivered through consoles, computer-based activities and other technologies. PATIENT OR PUBLIC CONTRIBUTIONS Serious games are recommended as being potentially useful and practical for reducing pain in older adults.
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Affiliation(s)
| | - Ira Suarilah
- Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia
| | | | - Yen-Ko Lin
- Department of Medical Humanities and Education, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Trauma and Surgical Critical Care, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Center for Medical Education and Humanizing Health Professional Education, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chia-Ju Lin
- College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
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Navarro-González R, García-Azorín D, Guerrero-Peral ÁL, Planchuelo-Gómez Á, Aja-Fernández S, de Luis-García R. Increased MRI-based Brain Age in chronic migraine patients. J Headache Pain 2023; 24:133. [PMID: 37798720 PMCID: PMC10557155 DOI: 10.1186/s10194-023-01670-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 09/22/2023] [Indexed: 10/07/2023] Open
Abstract
INTRODUCTION Neuroimaging has revealed that migraine is linked to alterations in both the structure and function of the brain. However, the relationship of these changes with aging has not been studied in detail. Here we employ the Brain Age framework to analyze migraine, by building a machine-learning model that predicts age from neuroimaging data. We hypothesize that migraine patients will exhibit an increased Brain Age Gap (the difference between the predicted age and the chronological age) compared to healthy participants. METHODS We trained a machine learning model to predict Brain Age from 2,771 T1-weighted magnetic resonance imaging scans of healthy subjects. The processing pipeline included the automatic segmentation of the images, the extraction of 1,479 imaging features (both morphological and intensity-based), harmonization, feature selection and training inside a 10-fold cross-validation scheme. Separate models based only on morphological and intensity features were also trained, and all the Brain Age models were later applied to a discovery cohort composed of 247 subjects, divided into healthy controls (HC, n=82), episodic migraine (EM, n=91), and chronic migraine patients (CM, n=74). RESULTS CM patients showed an increased Brain Age Gap compared to HC (4.16 vs -0.56 years, P=0.01). A smaller Brain Age Gap was found for EM patients, not reaching statistical significance (1.21 vs -0.56 years, P=0.19). No associations were found between the Brain Age Gap and headache or migraine frequency, or duration of the disease. Brain imaging features that have previously been associated with migraine were among the main drivers of the differences in the predicted age. Also, the separate analysis using only morphological or intensity-based features revealed different patterns in the Brain Age biomarker in patients with migraine. CONCLUSION The brain-predicted age has shown to be a sensitive biomarker of CM patients and can help reveal distinct aging patterns in migraine.
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Affiliation(s)
| | - David García-Azorín
- Headache Unit, Department of Neurology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
- Department of Medicine, Universidad de Valladolid, Valladolid, Spain.
| | - Ángel L Guerrero-Peral
- Headache Unit, Department of Neurology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Department of Medicine, Universidad de Valladolid, Valladolid, Spain
| | - Álvaro Planchuelo-Gómez
- Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
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Montesino-Goicolea S, Valdes-Hernandez P, Laffitte Nodarse C, Johnson AJ, Cole JH, Antoine LH, Goodin BR, Fillingim RB, Cruz-Almeida Y. Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain. AGING BRAIN 2023; 4:100088. [PMID: 37519450 PMCID: PMC10382912 DOI: 10.1016/j.nbas.2023.100088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/01/2023] Open
Abstract
Knee pain, the most common cause of musculoskeletal pain (MSK), constitutes a severe public health burden. Its neurobiological causes, however, remain poorly understood. Among many possible causes, it has been proposed that sleep problems could lead to an increase in chronic pain symptomatology, which may be driven by central nervous system changes. In fact, we previously found that brain cortical thickness mediated the relationship between sleep qualities and pain severity in older adults with MSK. We also demonstrated a significant difference in a machine-learning-derived brain-aging biomarker between participants with low-and high-impact knee pain. Considering this, we examined whether brain aging was associated with self-reported sleep and pain measures, and whether brain aging mediated the relationship between sleep problems and knee pain. Exploratory Spearman and Pearson partial correlations, controlling for age, sex, race and study site, showed a significant association of brain aging with sleep related impairment and self-reported pain measures. Moreover, mediation analysis showed that brain aging significantly mediated the effect of sleep related impairment on clinical pain and physical symptoms. Our findings extend our prior work demonstrating advanced brain aging among individuals with chronic pain and the mediating role of brain-aging on the association between sleep and pain severity. Future longitudinal studies are needed to further understand whether the brain can be a therapeutic target to reverse the possible effect of sleep problems on chronic pain.
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Affiliation(s)
- Soamy Montesino-Goicolea
- Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States
- Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States
| | - Pedro Valdes-Hernandez
- Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States
- Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States
| | - Chavier Laffitte Nodarse
- Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States
- Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States
| | - Alisa J. Johnson
- Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States
- Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States
| | - James H. Cole
- Centre for Medical Image Computing, Department of Computer Science, University College London, UK
- Dementia Research Centre, Institute of Neurology, University College London, UK
| | - Lisa H. Antoine
- Department of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, United States
| | - Burel R. Goodin
- Department of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, United States
| | - Roger B. Fillingim
- Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States
- Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Yenisel Cruz-Almeida
- Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States
- Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, United States
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Cruz-Almeida Y, Johnson A, Meng L, Sinha P, Rani A, Yoder S, Huo Z, Foster TC, Fillingim RB. Epigenetic age predictors in community-dwelling adults with high impact knee pain. Mol Pain 2022; 18:17448069221118004. [PMID: 35968561 PMCID: PMC9380216 DOI: 10.1177/17448069221118004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Gerontological research reveals considerable interindividual variability in aging
phenotypes, and emerging evidence suggests that high impact chronic pain may be
associated with various accelerated biological aging processes. In particular,
epigenetic aging is a robust predictor of health-span and disability compared to
chronological age alone. The current study aimed to determine whether several
epigenetic aging biomarkers were associated with high impact chronic pain in
middle to older age adults (44–78 years old). Participants (n =
213) underwent a blood draw, demographic, psychosocial, pain and functional
assessments. We estimated five epigenetic clocks and calculated the difference
between epigenetic age and chronological age, which has been previously reported
to predict overall mortality risk, as well as included additional derived
variables of epigenetic age previously associated with pain. There were
significant differences across Pain Impact groups in three out of the five
epigenetic clocks examined (DNAmAge, DNAmPhenoAge and DNAmGrimAge), indicating
that pain-related disability during the past 6 months was associated with
markers of epigenetic aging. Only DNAmPhenoAge and DNAmGrimAge were associated
with higher knee pain intensity during the past 48 h. Finally, pain
catastrophizing, depressive symptomatology and more neuropathic pain symptoms
were significantly associated with an older epigenome in only one of the five
epigenetic clocks (i.e. DNAmGrimAge) after correcting for multiple comparisons
(corrected p’s < 0.05). Given the scant literature in
relation to epigenetic aging and the complex experience of pain, additional
research is needed to understand whether epigenetic aging may help identify
people with chronic pain at greater risk of functional decline and poorer health
outcomes.
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Affiliation(s)
- Yenisel Cruz-Almeida
- Pain Research & Intervention Center of Excellence, 3463University of Florida, Gainesville, FL, USA.,Institute on Aging, 3463University of Florida, Gainesville, FL, USA.,Center for Cognitive Aging & Memory, McKnight Brain Foundation, 3463University of Florida, Gainesville, FL, USA.,Department of Community Dentistry & Behavioral Science, College of Dentistry, 3463University of Florida, Gainesville, FL, USA.,Department of Neuroscience, College of Medicine, 3463University of Florida, Gainesville, FL, USA
| | - Alisa Johnson
- Pain Research & Intervention Center of Excellence, 3463University of Florida, Gainesville, FL, USA.,Institute on Aging, 3463University of Florida, Gainesville, FL, USA.,Department of Community Dentistry & Behavioral Science, College of Dentistry, 3463University of Florida, Gainesville, FL, USA
| | - Lingsong Meng
- Department of Biostatistics, College of Public Health & Health Professions and College of Medicine, 3463University of Florida, Gainesville, FL, USA
| | - Puja Sinha
- Department of Neuroscience, College of Medicine, 3463University of Florida, Gainesville, FL, USA
| | - Asha Rani
- Department of Neuroscience, College of Medicine, 3463University of Florida, Gainesville, FL, USA
| | - Sean Yoder
- 25301Molecular Genomics Core Facility, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Zhiguang Huo
- Department of Biostatistics, College of Public Health & Health Professions and College of Medicine, 3463University of Florida, Gainesville, FL, USA
| | - Thomas C Foster
- Institute on Aging, 3463University of Florida, Gainesville, FL, USA.,Center for Cognitive Aging & Memory, McKnight Brain Foundation, 3463University of Florida, Gainesville, FL, USA.,Department of Neuroscience, College of Medicine, 3463University of Florida, Gainesville, FL, USA.,Age-Related Memory Loss Program, McKnight Brain Foundation, 3463University of Florida, Gainesville, FL, USA
| | - Roger B Fillingim
- Pain Research & Intervention Center of Excellence, 3463University of Florida, Gainesville, FL, USA.,Institute on Aging, 3463University of Florida, Gainesville, FL, USA.,Department of Community Dentistry & Behavioral Science, College of Dentistry, 3463University of Florida, Gainesville, FL, USA
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