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Kang SH, Kim HA, Choi I, Park CM, Jhang H, Kim J, Go DJ, Jang S. Psychotropic Drug Use in Korean Patients With Osteoarthritis. J Korean Med Sci 2025; 40:e53. [PMID: 40165576 PMCID: PMC11964901 DOI: 10.3346/jkms.2025.40.e53] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 10/20/2024] [Indexed: 04/02/2025] Open
Abstract
BACKGROUND There are few safe effective ways to relieve osteoarthritis (OA) pain; as a result, off-label psychotropic drug prescriptions have increased worldwide. This study examined the change in psychotropic drug prescriptions for patients with OA from 2011 to 2020 using the Korean National Health Insurance Service dataset. METHODS The study population consisted of patients with hip or knee OA aged ≥ 65 years. Psychotropic drugs included opioids, benzodiazepines, non-benzodiazepine hypnotics (Z-drugs), anti-epileptics, tricyclic antidepressants, selective serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors (SNRIs), typical antipsychotics, atypical antipsychotics, and anxiolytics. The prevalence and long-term (> 3 months) prescription rates of psychotropic drugs in OA patients were calculated. RESULTS The study included 1,821,158 patients with OA (mean age 71.7 years; 65.32% female). Of the cohort, 49% had comorbidities for which psychotropics were indicated. The prevalence of psychotropic prescriptions decreased from 58.2% to 52.0% in 2018 and then leveled off. The long-term prescription rate remained constant until 2018 and then increased slightly. The most commonly prescribed psychotropics were opioids and long- and short-acting benzodiazepines. The prescription rates of opioids and long-acting benzodiazepines decreased from 2011 to 2020. For those with psychiatric co-morbidities, the prescription rates of anti-epileptics and SNRIs increased, while the prescription rates of anti-epileptics, SSRIs, other antidepressants, and atypical psychotropics increased for those without such co-morbidities. The most commonly prescribed psychotropics were diazepam and alprazolam, excluding tramadol and tramadol-acetaminophen combination. For those with psychiatric co-morbidities, the prescription rates of gabapentin and fentanyl increased, while for those without such co-morbidities, the prescription rates of lorazepam, fentanyl, escitalopram and quetiapine increased. CONCLUSION A significant number of older Korean patients with OA were prescribed psychotropic drugs in the absence of comorbidities requiring such drugs, including drugs that have little effect on OA and unfavorable safety profiles in older adults.
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Affiliation(s)
- Seong-Hun Kang
- Division of Rheumatology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Hyun Ah Kim
- Division of Rheumatology, Hallym University Sacred Heart Hospital, Anyang, Korea.
| | - Insun Choi
- National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Chan Mi Park
- National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Hoyol Jhang
- National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Jinhyun Kim
- Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Dong Jin Go
- Division of Rheumatology, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea
| | - Suhyun Jang
- College of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, Incheon, Korea
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Ferreira GE, Di Donato M, Maher CG, Shaheed CA, Mathieson S, Collie A. Patterns of antidepressant use in people with low back pain: A retrospective study using workers' compensation data. Eur J Pain 2025; 29:e4773. [PMID: 39688137 DOI: 10.1002/ejp.4773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Revised: 11/24/2024] [Accepted: 12/08/2024] [Indexed: 12/18/2024]
Abstract
BACKGROUND Antidepressants are commonly used to treat low back pain (LBP), but little is known about patterns of antidepressant use in this population. This study aimed to identify patterns of antidepressant dispensing and switching in Australian workers with an accepted workers' compensation claim for LBP, and to investigate factors associated with dispensing and switching. METHODS This retrospective study included data from accepted workers' compensation time loss claims for LBP between 2010 and 2018 with a 2-year follow-up. We described the type of antidepressant dispensed, the time for the index antidepressant to be dispensed, and whether people in the study switched to a different antidepressant. Logistic regression models investigated factors associated with antidepressants being dispensed for the first time and for switching to a different antidepressant. RESULTS Antidepressants were dispensed to 2476 people with LBP (14%) at least once after a median (IQR) of 28 (10.9-54.7) weeks. Amitriptyline was the most dispensed antidepressant at any one point (47.8%), and the most common index antidepressant (42.9%). Also, 32.7% of people switched to a different antidepressant at least once. Sex, age, having been dispensed opioids, gabapentinoids or diazepam prior to antidepressants being dispensed, having used psychological services, and socioeconomic disadvantage were associated with antidepressant dispensing. CONCLUSION One in seven people with LBP were dispensed an antidepressant, most commonly amitriptyline. Antidepressants were commonly used in combination with other pain medicines such as opioids, gabapentinoids and diazepam. SIGNIFICANCE Antidepressants were dispensed to one in seven people with low back pain, most commonly amitriptyline followed by duloxetine. Antidepressants were typically dispensed after 6 months and after other medicines such as opioids, gabapentinoids and diazepam had been dispensed. Due to the administrative nature of the data, the study cannot infer whether antidepressants were dispensed to treat pain or other health problems, such as a mental health condition.
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Affiliation(s)
- Giovanni E Ferreira
- Institute for Musculoskeletal Health, Sydney Local Health District, Sydney, New South Wales, Australia
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Michael Di Donato
- Healthy Working Lives Research Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Christopher G Maher
- Institute for Musculoskeletal Health, Sydney Local Health District, Sydney, New South Wales, Australia
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Christina Abdel Shaheed
- Institute for Musculoskeletal Health, Sydney Local Health District, Sydney, New South Wales, Australia
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Stephanie Mathieson
- Institute for Musculoskeletal Health, Sydney Local Health District, Sydney, New South Wales, Australia
| | - Alex Collie
- Healthy Working Lives Research Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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Carabot F, Donat-Vargas C, Lara-Abelenda FJ, Martínez OF, Santoma J, Garcia-Montero C, Valadés T, Gutierrez-Rojas L, Martinez-González MA, Ortega MA, Alvarez-Mon M, Alvarez-Mon MA. Analysis of User-Generated Posts on Social Media of Adjuvant Analgesics: A Machine Learning Study. Int J Med Sci 2025; 22:170-178. [PMID: 39744167 PMCID: PMC11659822 DOI: 10.7150/ijms.96981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 10/21/2024] [Indexed: 02/01/2025] Open
Abstract
Background: Antiepileptics and antidepressants are frequently prescribed for chronic pain, but their efficacy and potential adverse effects raise concerns, including dependency issues. Increased prescriptions, sometimes fraudulent, prompted reclassification of antiepileptics in some countries. Our aim is to comprehend opinions, perceptions, beliefs, and attitudes towards co-analgesics from online discussions on X (formerly known as Twitter), offering insights closer to reality than conventional surveys. Methods: In this cross-sectional study, we collected 77,183 public posts about co-analgesics in English or Spanish from January 1st 2019 to December 31st, 2020. A total of 51,167 post were included, and 2,000 were manually analyzed using a researcher-created codebook. Machine learning classifiers were then applied to the remaining datasets to determine the number of publications for each user type and identify categories through content analysis. Results: Of the 51,167 posts analyzed, 78% discussed anticonvulsants and 24% discussed analgesic antidepressants (Percentages add up to more than 100% because there were 1,300 posts containing references to both types of medications). Only 13% were authored by healthcare professionals, while 67% were from patients. Medical content predominated, with 70% noting low medication efficacy and almost 50% referencing side effects. Non-medical content included challenges in dispensing (25%), complaints about high costs (15%), and trivialization of medication use (10%). Conclusions: This study offers valuable insights into public perceptions of co-analgesics. Findings aid in designing public health communications to raise awareness of associated risks, urging both healthcare providers and the public to optimize drug use.
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Affiliation(s)
- Federico Carabot
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain
| | - Carolina Donat-Vargas
- ISGlobal, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Cardiovascular and Nutritional Epidemiology, Unit of Institute of Environmental Medicine, Karolinska In-stitute, Stockholm, Sweden
| | - Francisco J. Lara-Abelenda
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
- Departamento Teoria de la Señal y Comunicaciones y Sistemas Telemáticos y Computación, Escuela Tecnica Superior de Ingenieria de Telecomunicación, Universidad Rey Juan Carlos, 28942 Fuenlabrada, Spain
| | - Oscar Fraile- Martínez
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain
| | - Javier Santoma
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
| | - Cielo Garcia-Montero
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain
| | - Teresa Valadés
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
| | - Luis Gutierrez-Rojas
- Department of Psychiatry and CTS-549 Research Group, Institute of Neurosciences, University of Granada, Granada, Spain
- Department of Psychiatry, San Cecilio University Hospital, Granada, Spain
| | - MA Martinez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Insti-tute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Miguel Angel Ortega
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain
| | - Melchor Alvarez-Mon
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain
| | - Miguel Angel Alvarez-Mon
- Department of Medicine and Medical Specialities. University of Alcala, Alcala de Henares, 28801 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain
- Department of Psychiatry and Mental Health. Hospital Universitario Infanta Leonor, Madrid, Spain
- CIBERSAM-ISCIII (Biomedical Research Networking Centre in Mental Health), Madrid, Spain
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Ferreira GE, McLachlan H, McLachlan AJ. Antidepressants for pain in adults. Pain Manag 2024; 14:531-533. [PMID: 39580645 PMCID: PMC11622793 DOI: 10.1080/17581869.2024.2432281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Accepted: 11/18/2024] [Indexed: 11/26/2024] Open
Affiliation(s)
- Giovanni E Ferreira
- Institute for Musculoskeletal Health, Sydney Local Health District, Sydney, New South Wales, Australia
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Hanan McLachlan
- Institute for Musculoskeletal Health, Sydney Local Health District, Sydney, New South Wales, Australia
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Andrew J McLachlan
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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5
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Ferreira GE, Abdel-Shaheed C, Underwood M, Finnerup NB, Day RO, McLachlan A, Eldabe S, Zadro JR, Maher CG. Efficacy, safety, and tolerability of antidepressants for pain in adults: overview of systematic reviews. BMJ 2023; 380:e072415. [PMID: 36725015 PMCID: PMC9887507 DOI: 10.1136/bmj-2022-072415] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/09/2023] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To provide a comprehensive overview of the efficacy, safety, and tolerability of antidepressants for pain according to condition. DESIGN Overview of systematic reviews. DATA SOURCES PubMed, Embase, PsycINFO, and the Cochrane Central Register of Controlled Trials from inception to 20 June 2022. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Systematic reviews comparing any antidepressant with placebo for any pain condition in adults. DATA EXTRACTION AND SYNTHESIS Two reviewers independently extracted data. The main outcome measure was pain; for headache disorders it was frequency of headaches. Continuous pain outcomes were converted into a scale of 0 (no pain) to 100 (worst pain) and were presented as mean differences (95% confidence intervals). Dichotomous outcomes were presented as risk ratios (95% confidence intervals). Data were extracted from the time point closest to the end of treatment. When end of treatment was too variable across trials in a review, data were extracted from the outcome or time point with the largest number of trials and participants. Secondary outcomes were safety and tolerability (withdrawals because of adverse events). Findings were classified from each comparison as efficacious, not efficacious, or inconclusive. Certainty of evidence was assessed with the grading of recommendations assessment, development, and evaluation framework. RESULTS 26 reviews (156 unique trials and >25 000 participants) were included. These reviews reported on the efficacy of eight antidepressant classes covering 22 pain conditions (42 distinct comparisons). No review provided high certainty evidence on the efficacy of antidepressants for pain for any condition. 11 comparisons (nine conditions) were found where antidepressants were efficacious, four with moderate certainty evidence: serotonin-norepinephrine reuptake inhibitors (SNRIs) for back pain (mean difference -5.3, 95% confidence interval -7.3 to -3.3), postoperative pain (-7.3, -12.9 to -1.7), neuropathic pain (-6.8, -8.7 to -4.8), and fibromyalgia (risk ratio 1.4, 95% confidence interval 1.3 to 1.6). For the other 31 comparisons, antidepressants were either not efficacious (five comparisons) or the evidence was inconclusive (26 comparisons). CONCLUSIONS Evidence of efficacy of antidepressants was found in 11 of the 42 comparisons included in this overview of systematic reviews-seven of the 11 comparisons investigated the efficacy of SNRIs. For the other 31 comparisons, antidepressants were either inefficacious or evidence on efficacy was inconclusive. The findings suggest that a more nuanced approach is needed when prescribing antidepressants for pain conditions. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022311073.
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Affiliation(s)
- Giovanni E Ferreira
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Institute for Musculoskeletal Health, Sydney, NSW, Australia
| | - Christina Abdel-Shaheed
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Institute for Musculoskeletal Health, Sydney, NSW, Australia
| | - Martin Underwood
- Warwick Clinical Trials Unit, University of Warwick, Coventry, UK
- University Hospitals Coventry and Warwickshire, Coventry, UK
| | - Nanna B Finnerup
- Danish Pain Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Richard O Day
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- Department of Clinical Pharmacology and Toxicology, St Vincent's Hospital, Sydney, NSW, Australia
| | - Andrew McLachlan
- Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Sam Eldabe
- James Cook University Hospital, Middlesbrough, UK
| | - Joshua R Zadro
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Institute for Musculoskeletal Health, Sydney, NSW, Australia
| | - Christopher G Maher
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Institute for Musculoskeletal Health, Sydney, NSW, Australia
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McDonald MLN, Lakshman Kumar P, Srinivasasainagendra V, Nair A, Rocco AP, Wilson AC, Chiles JW, Richman JS, Pinson SA, Dennis RA, Jagadale V, Brown CJ, Pyarajan S, Tiwari HK, Bamman MM, Singh JA. Novel genetic loci associated with osteoarthritis in multi-ancestry analyses in the Million Veteran Program and UK Biobank. Nat Genet 2022; 54:1816-1826. [PMID: 36411363 DOI: 10.1038/s41588-022-01221-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 10/05/2022] [Indexed: 11/22/2022]
Abstract
Osteoarthritis is a common progressive joint disease. As no effective medical interventions are available, osteoarthritis often progresses to the end stage, in which only surgical options such as total joint replacement are available. A more thorough understanding of genetic influences of osteoarthritis is essential to develop targeted personalized approaches to treatment, ideally long before the end stage is reached. To date, there have been no large multiancestry genetic studies of osteoarthritis. Here, we leveraged the unique resources of 484,374 participants in the Million Veteran Program and UK Biobank to address this gap. Analyses included participants of European, African, Asian and Hispanic descent. We discovered osteoarthritis-associated genetic variation at 10 loci and replicated findings from previous osteoarthritis studies. We also present evidence that some osteoarthritis-associated regions are robust to population ancestry. Drug repurposing analyses revealed enrichment of targets of several medication classes and provide potential insight into the etiology of beneficial effects of antiepileptics on osteoarthritis pain.
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Affiliation(s)
- Merry-Lynn N McDonald
- Birmingham Veterans Affairs Health Care System (BVAHCS), Birmingham, AL, USA.
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
- Department of Genetics, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Preeti Lakshman Kumar
- Birmingham Veterans Affairs Health Care System (BVAHCS), Birmingham, AL, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Vinodh Srinivasasainagendra
- Birmingham Veterans Affairs Health Care System (BVAHCS), Birmingham, AL, USA
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ashwathy Nair
- Birmingham Veterans Affairs Health Care System (BVAHCS), Birmingham, AL, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Alison P Rocco
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Ava C Wilson
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Joe W Chiles
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Joshua S Richman
- Birmingham Veterans Affairs Health Care System (BVAHCS), Birmingham, AL, USA
- Department of Surgery, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Sarah A Pinson
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Richard A Dennis
- Central Arkansas Veterans Healthcare System (CAVHS), Little Rock, AR, USA
| | - Vivek Jagadale
- Central Arkansas Veterans Healthcare System (CAVHS), Little Rock, AR, USA
| | - Cynthia J Brown
- Birmingham Veterans Affairs Health Care System (BVAHCS), Birmingham, AL, USA
- Department of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Saiju Pyarajan
- Center for Data and Computational Sciences (C-DACS), Veterans Affairs Boston Healthcare System (VABHS), Boston, MA, USA
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marcas M Bamman
- Birmingham Veterans Affairs Health Care System (BVAHCS), Birmingham, AL, USA
- Department of Cell, Developmental, and Integrative Biology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- Florida Institute for Human & Machine Cognition, Pensacola, FL, USA
| | - Jasvinder A Singh
- Birmingham Veterans Affairs Health Care System (BVAHCS), Birmingham, AL, USA
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Rheumatology and Clinical Immunology, Department of Medicine at the School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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Wang ST, Ni GX. Depression in Osteoarthritis: Current Understanding. Neuropsychiatr Dis Treat 2022; 18:375-389. [PMID: 35237034 PMCID: PMC8883119 DOI: 10.2147/ndt.s346183] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/06/2022] [Indexed: 02/05/2023] Open
Abstract
Depression, one of the most common comorbidities with osteoarthritis (OA), affects patient prognosis and quality of life. It also increases the overall burden of disease. This subgroup of patients has not been effectively managed in clinical settings. The study aimed to direct physicians' attention to the co-occurrence of depression and OA. Therefore, this review summarizes the relevant literature published over the past 10 years. The focus is on the prevalence of and risk factors for depression in OA, the effects of depression on OA development and treatment response, comorbidity mechanisms, screening, and non-pharmacological treatment. The research on the etiology of depression has been driven largely by epidemiological studies. Recent studies have shown that high levels of pain, poor levels of function, high numbers of OA sites, and slow gait might be associated with depression. However, the pathophysiology of OA and depression comorbidities remains unclear. In addition to immune inflammation and structural changes in the brain, which have been documented in brain imaging studies, psychosocial factors may also play a role. The evidence indicates that depression can be treated with early intervention; however, adjustments may need to be made for individuals with comorbid depression in OA. It is recommended that health care providers pay more attention to depressive symptoms in patients with OA. Clinicians should develop and implement an individualized and comprehensive treatment plan for patients based on a mental health assessment and in teams with other professionals to optimize treatment outcomes.
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Affiliation(s)
- Shen-Tao Wang
- School of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing, People’s Republic of China
| | - Guo-Xin Ni
- School of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing, People’s Republic of China
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van den Driest JJ, Schiphof D, Koffeman AR, Koopmanschap MA, Bindels PJE, Bierma-Zeinstra SMA. No added value of duloxetine for patients with chronic pain due to hip or knee osteoarthritis: a cluster randomised trial. Arthritis Rheumatol 2022; 74:818-828. [PMID: 34989159 PMCID: PMC9313808 DOI: 10.1002/art.42040] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 09/30/2021] [Accepted: 12/02/2021] [Indexed: 12/04/2022]
Abstract
Objective To assess the effectiveness of duloxetine in addition to usual care in patients with chronic osteoarthritis (OA) pain. The cost‐effectiveness and whether the presence of symptoms of centralized pain alters the response to duloxetine were secondary objectives. Methods We conducted an open‐label, cluster‐randomized trial. Patients with chronic hip or knee OA pain who had an insufficient response to acetaminophen and nonsteroidal antiinflammatory drugs were included. Randomization took place at the general practice level, and patients received duloxetine (60 mg/day) in addition to usual care or usual care alone. The presence of centralized pain was defined as a modified PainDETECT Questionnaire score >12. The primary outcome measure was Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain scores (scale 0–20) at 3 months after the initiation of treatment. Our aim was to detect a difference between the groups of a clinically relevant effect of 1.9 points (effect size 0.4). We used a linear mixed model with repeated measurements to analyze the data. Results In total, 133 patients were included, and 132 patients were randomized into treatment groups. A total of 66 patients (at 31 practices) were randomized to receive duloxetine in addition to usual care, and 66 patients (at 35 practices) were randomized to receive usual care alone. We found no differences in WOMAC pain scores between the groups at 3 months (adjusted difference –0.58 [95% confidence interval (95% CI) –1.80, 0.63]) or at 12 months (adjusted difference –0.26 [95% CI –1.86, 1.34]). In the subgroup of patients with centralized pain symptoms, we also found no effect of duloxetine compared to usual care alone (adjusted difference –0.32 [95% CI –2.32, 1.67]). Conclusion We found no effect of duloxetine added to usual care compared to usual care alone in patients with chronic knee or hip OA pain. Another trial including patients with centralized pain symptoms should be conducted to validate our results.
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Affiliation(s)
| | - Dieuwke Schiphof
- Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Aafke R Koffeman
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Marc A Koopmanschap
- Department of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Patrick J E Bindels
- Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Orthopedics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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9
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Winkler D, Reichardt B, Rothenberg M, Rujescu D, Pjrek E. Prescriptions of psychopharmacologic drugs in Austria in 2019 and 2020 – Implications of the COVID-19 pandemic. Eur Psychiatry 2022; 65:e73. [DOI: 10.1192/j.eurpsy.2022.2328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background
Measures to reduce the spread of the SARS-CoV-2 virus have an impact on the mental health of the general population. Drug prescription rates can be used as a surrogate marker to estimate help seeking and health parameters of a population. The aim of this study was to compare psychopharmacologic drug prescriptions in Austria from the start of the pandemic in 2020 over time and with the previous year and to investigate the impact of the COVID-19 lockdowns in 2020.
Methods
Data from the three largest public health insurances in Austria, covering over 98% of the general population, were analyzed. A total of 1,365,294 patients with a prescription of a psychopharmacologic drug in the months March to December in 2019 and 2020 were selected.
Results
There was no significant change in prescribed defined daily doses (DDDs) during the lockdowns. However, there was a stockpiling effect before and at the beginning of lockdown 1. The number of new patients initiating psychopharmacologic treatment was significantly reduced during lockdown 1 but not during lockdown 2.
Conclusions
The first COVID-19 lockdown in 2020 functioned as a barrier for new psychiatric patients seeking help, whereas the patients with ongoing treatments did not have significant problems. These results have to be taken into account for future planning, but follow-up studies are needed, as our results could be indicative of a change in the effect of the protective measures on the utilization of the healthcare system over time.
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