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Ao G, Li T, Wang Y, Balzer N, Luo J, Chen M. The effect of amubarvimab-romlusevimab on clinical outcomes in patients with COVID-19: A meta-analysis. J Infect 2025; 90:106442. [PMID: 39952480 DOI: 10.1016/j.jinf.2025.106442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2025] [Accepted: 02/10/2025] [Indexed: 02/17/2025]
Affiliation(s)
- Guangyu Ao
- Department of Nephrology, Chengdu First People's Hospital, Chengdu Integrated TCM and Western Medicine Hospital, Chengdu, Sichuan, China
| | - Toni Li
- Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, Canada
| | - Yushu Wang
- Chengdu West China Clinical Research Center, Chengdu, Sichuan, China
| | - Nathan Balzer
- Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, Canada
| | - Jie Luo
- Department of Nephrology, Chengdu First People's Hospital, Chengdu Integrated TCM and Western Medicine Hospital, Chengdu, Sichuan, China
| | - Min Chen
- Department of Nephrology, Chengdu First People's Hospital, Chengdu Integrated TCM and Western Medicine Hospital, Chengdu, Sichuan, China.
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Walter DL, Bian Y, Hu H, Hamid FA, Rostamizadeh K, Vigliaturo JR, DeHority R, Ehrich M, Runyon S, Pravetoni M, Zhang C. The immunological and pharmacokinetic evaluation of Lipid-PLGA hybrid nanoparticle-based oxycodone vaccines. Biomaterials 2025; 313:122758. [PMID: 39182328 PMCID: PMC11402561 DOI: 10.1016/j.biomaterials.2024.122758] [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: 05/21/2024] [Revised: 08/05/2024] [Accepted: 08/15/2024] [Indexed: 08/27/2024]
Abstract
The current opioid epidemic is one of the most profound public health crises facing the United States. Despite that it has been under the spotlight for years, available treatments for opioid use disorder (OUD) and overdose are limited to opioid receptor ligands such as the agonist methadone and the overdose reversing drugs such as naloxone. Vaccines are emerging as an alternative strategy to combat OUD and prevent relapse and overdose. Most vaccine candidates consist of a conjugate structure containing the target opioid attached to an immunogenic carrier protein. However, conjugate vaccines have demonstrated some intrinsic shortfalls, such as fast degradation and poor recognition by immune cells. To overcome these challenges, we proposed a lipid-PLGA hybrid nanoparticle (hNP)-based vaccine against oxycodone (OXY), which is one of the most frequently misused opioid analgesics. The hNP-based OXY vaccine exhibited superior immunogenicity and pharmacokinetic efficacy in comparison to its conjugate vaccine counterpart. Specifically, the hNP-based OXY vaccine formulated with subunit keyhole limpet hemocyanin (sKLH) as the carrier protein and aluminum hydroxide (Alum) as the adjuvant (OXY-sKLH-hNP(Alum)) elicited the most potent OXY-specific antibody response in mice. The induced antibodies efficiently bound with OXY molecules in blood and suppressed their entry into the brain. In a following dose-response study, OXY-sKLH-hNP(Alum) equivalent to 60 μg of sKLH was determined to be the most promising OXY vaccine candidate moving forward. This study provides evidence that hybrid nanoparticle-based vaccines may be superior vaccine candidates than conjugate vaccines and will be beneficial in treating those suffering from OUD.
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Affiliation(s)
- Debra L Walter
- Department of Biological Systems Engineering, College of Engineering & College of Agricultural and Life Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
| | - Yuanzhi Bian
- Department of Biological Systems Engineering, College of Engineering & College of Agricultural and Life Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
| | - He Hu
- Department of Biological Systems Engineering, College of Engineering & College of Agricultural and Life Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
| | - Fatima A Hamid
- Departments of Pharmacology and Medicine, Medical School, University of Minnesota, Minneapolis, MN, 55455, USA.
| | - Kobra Rostamizadeh
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, 98195, USA.
| | - Jennifer R Vigliaturo
- Departments of Pharmacology and Medicine, Medical School, University of Minnesota, Minneapolis, MN, 55455, USA.
| | - Riley DeHority
- Department of Biological Systems Engineering, College of Engineering & College of Agricultural and Life Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
| | - Marion Ehrich
- Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, 24061, USA.
| | - Scott Runyon
- RTI International, Research Triangle Park, NC, 27709, USA.
| | - Marco Pravetoni
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, 98195, USA.
| | - Chenming Zhang
- Department of Biological Systems Engineering, College of Engineering & College of Agricultural and Life Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
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Lee SW, Smith M, Lee SR. Impact on the Short-Term Hospital Outcomes From COVID Pandemic Among Older Adults With Sepsis. J Appl Gerontol 2025:7334648241311659. [PMID: 39749799 DOI: 10.1177/07334648241311659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2025] Open
Abstract
Objective: This study evaluates clinical characteristics, hospitals outcomes, and mortality determinants in older sepsis patients before and during COVID-19. Methods: Retrospective of sepsis cases (aged 65+) from nine hospitals (2018-2020) using ICD codes. Multivariate logistic regression was used to analyze mortality predictors. Results: Of 4635 sepsis patients, 515 (11.1%) passed in-hospital, with mortality rising to 13.9% during the pandemic from 10% prior (p < .01). Pandemic admissions had more racial minorities and severe comorbidities. Patient safety indicator events decreased during the pandemic (14.8% vs. 17.9%, p < .01), while home discharge rates remained consistent. Pandemic admission and lack of insurance correlated with increased mortality, alongside advanced age, ICU admission, and opioid and sedative use. Conclusion: COVID-19 pandemic admission and socioeconomic factors heightened mortality risks in older sepsis patients, highlighting the need for targeted care strategies.
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Affiliation(s)
- Se Won Lee
- Sunrise HealthGME Consortium, MountainView Hospital, HCA Healthcare, Las Vegas, NV, USA
| | - Mavis Smith
- Wurzweiler School of Social Work, Yeshiva University, New York, NY, USA
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Kudrina I, Page MG, Choinière M, Shir Y, Eisenberg MJ, Ben-Sasson M, Lebouché B, Puzhko S. Risk of infections among persons treated with opioids for chronic pain: a systematic review and meta-analysis protocol. BMJ Open 2024; 14:e083791. [PMID: 39414287 PMCID: PMC11481125 DOI: 10.1136/bmjopen-2023-083791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 09/20/2024] [Indexed: 10/18/2024] Open
Abstract
INTRODUCTION Millions of persons with chronic pain across North America and Europe use opioids. While the immunosuppressive properties of opioids are associated with risks of infections, these outcomes could be mitigated through careful patient selection and monitoring practices when appropriate. It is important to recognise that some patients do benefit from a carefully tailored opioid therapy. Enough primary studies have been published to date regarding the role of opioids in potential immunosuppression presenting as an increased rate of infection acquisition, infectious complications and mortality. There is thus a critical need for a consensus in this area. METHODS AND ANALYSIS The methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, the MOOSE Guidelines for Meta-Analyses and Systematic Reviews of Observational Studies and the Cochrane Handbook for Systematic Reviews of Interventions. We plan to systematically search Ovid MEDLINE, CINAHL, PsycINFO, EMB Review, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials and Google Scholar databases from their inception date to December 2023. Full-text primary studies that report measurable outcomes in adults with chronic pain, all routes of opioid use, all types of infections and all settings will be included. We will identify a scope of reported infections and the evidence on the association of opioid use (including specific opioid, dosage, formulation and duration of use) with the risk of negative infectious outcomes. Opioid use-associated outcomes, comparing opioid use with another opioid or a non-opioid medication, will be reported. The meta-analysis will incorporate individual risk factors. If data are insufficient, the results will be synthesised narratively. Publication bias and confounding evaluation will be performed. The Grading of Recommendations Assessment, Development and Evaluation framework will be used. ETHICS AND DISSEMINATION Approval for the use of published data is not required. The results will be published, presented at conferences and discussed in deliberative dialogue groups. PROSPERO REGISTRATION NUMBER CRD42023402812.
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Affiliation(s)
- Irina Kudrina
- Faculty of Medicine and Health Sciences, Family Medicine Department, McGill University, Montreal, Québec, Canada
- Alan Edwards Pain Management Unit, Anesthesia Department, Faculty of Medicine and Health Sciences, McGill University, Montreal, Québec, Canada
- Division of Secondary Care, Faculty of Medicine and Health Sciences, McGill University, Montreal, Québec, Canada
- BRAiN & neurosciences, Research Institute, McGill University Health Centre, Montreal, Québec, Canada
| | - M Gaberielle Page
- Department of Anesthesiology and Pain Medicine, Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada
- Canada Research center, Centre hospitalier de l’Université de Montréal, Montreal, Québec, Canada
| | - Manon Choinière
- Department of Anesthesiology and Pain Medicine, Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada
- Canada Research center, Centre hospitalier de l’Université de Montréal, Montreal, Québec, Canada
| | - Yoram Shir
- Alan Edwards Pain Management Unit, Anesthesia Department, Faculty of Medicine and Health Sciences, McGill University, Montreal, Québec, Canada
| | - Mark J Eisenberg
- Center for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec, Canada
- Faculty of Medicine and Health Sciences, McGill University, Montreal, Québec, Canada
- Departments of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada
- Division of Cardiology, Jewish General Hospital, McGill University, Montreal, Québec, Canada
| | - Maayan Ben-Sasson
- Alan Edwards Pain Management Unit, Anesthesia Department, Faculty of Medicine and Health Sciences, McGill University, Montreal, Québec, Canada
| | - Bertrand Lebouché
- Faculty of Medicine and Health Sciences, Family Medicine Department, McGill University, Montreal, Québec, Canada
- Division of Secondary Care, Faculty of Medicine and Health Sciences, McGill University, Montreal, Québec, Canada
- Centre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
- Chronic Viral Illness Service, Division of Infectious Disease, Department of Medicine, McGill University Health Centre, Montreal, Québec, Canada
| | - Svetlana Puzhko
- Department of General Practice and Family Medicine, University of Bielefeld, Bielefeld, Germany
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5
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Patel EU, Grieb SM, Winiker AK, Ching J, Schluth CG, Mehta SH, Kirk GD, Genberg BL. Structural and social changes due to the COVID-19 pandemic and their impact on engagement in substance use disorder treatment services: a qualitative study among people with a recent history of injection drug use in Baltimore, Maryland. Harm Reduct J 2024; 21:91. [PMID: 38720307 PMCID: PMC11077846 DOI: 10.1186/s12954-024-01008-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 04/22/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Substance use disorder treatment and recovery support services are critical for achieving and maintaining recovery. There are limited data on how structural and social changes due to the COVID-19 pandemic impacted individual-level experiences with substance use disorder treatment-related services among community-based samples of people who inject drugs. METHODS People with a recent history of injection drug use who were enrolled in the community-based AIDS Linked to the IntraVenous Experience study in Baltimore, Maryland participated in a one-time, semi-structured interview between July 2021 and February 2022 about their experiences living through the COVID-19 pandemic (n = 28). An iterative inductive coding process was used to identify themes describing how structural and social changes due to the COVID-19 pandemic affected participants' experiences with substance use disorder treatment-related services. RESULTS The median age of participants was 54 years (range = 24-73); 10 (36%) participants were female, 16 (57%) were non-Hispanic Black, and 8 (29%) were living with HIV. We identified several structural and social changes due the pandemic that acted as barriers and facilitators to individual-level engagement in treatment with medications for opioid use disorder (MOUD) and recovery support services (e.g., support group meetings). New take-home methadone flexibility policies temporarily facilitated engagement in MOUD treatment, but other pre-existing rigid policies and practices (e.g., zero-tolerance) were counteracting barriers. Changes in the illicit drug market were both a facilitator and barrier to MOUD treatment. Decreased availability and pandemic-related adaptations to in-person services were a barrier to recovery support services. While telehealth expansion facilitated engagement in recovery support group meetings for some participants, other participants faced digital and technological barriers. These changes in service provision also led to diminished perceived quality of both virtual and in-person recovery support group meetings. However, a facilitator of recovery support was increased accessibility of individual service providers (e.g., counselors and Sponsors). CONCLUSIONS Structural and social changes across several socioecological levels created new barriers and facilitators of individual-level engagement in substance use disorder treatment-related services. Multilevel interventions are needed to improve access to and engagement in high-quality substance use disorder treatment and recovery support services among people who inject drugs.
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Affiliation(s)
- Eshan U Patel
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
| | - Suzanne M Grieb
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Abigail K Winiker
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jennifer Ching
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
| | - Catherine G Schluth
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
| | - Shruti H Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Becky L Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
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Kheirabadi D, Minhas D, Ghaderpanah R, Clauw DJ. Problems with opioids - beyond misuse. Best Pract Res Clin Rheumatol 2024; 38:101935. [PMID: 38429184 DOI: 10.1016/j.berh.2024.101935] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 01/25/2024] [Indexed: 03/03/2024]
Abstract
The U.S. is grappling with an opioid epidemic, with millions of adults on long-term opioid therapy (LTOT). Although patients often report pain relief and improved daily function with opioids, research shows no significant differences in short-term outcomes between opioid and non-opioid users, as well as no long-term opioid benefits. This scoping review aims to identify lesser-known side effects of long-term opioid use and increase awareness of them, allowing healthcare providers and patients to better assess the risks and benefits of opioid use. Our data search from PubMed and Google Scholar used keywords related to opioids, chronic pain, hypogonadism, endocrinopathies, cancer progression, cardiovascular events, renovascular events, sleep disturbances, mood disorders and others, narrowing down to English-language full articles published from January 2018 to April 2023. This review emphasizes the probable serious adverse consequences of long-term opioid use on various body systems in patients with chronic pain. Given the lack of long-term benefits and significant adverse effects, our review underscores the critical need for healthcare providers to include these risks in discussions with patients when considering the long-term use of opioid therapy.
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Affiliation(s)
- Dorna Kheirabadi
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan Medical School, Ann Arbor, MI, United States.
| | - Deeba Minhas
- Department of Internal Medicine, Division of Rheumatology, University of Michigan Medical School, 300 North Ingalls Building, Ann Arbor, MI, 48109-5422, United States.
| | - Rezvan Ghaderpanah
- Department of Physiology and Aging, College of Medicine, University of Florida, United States.
| | - Daniel J Clauw
- Departments of Anesthesiology, Medicine (Rheumatology), and Psychiatry, Chronic Pain and Fatigue Research Center, University of Michigan Medical School, Ann Arbor, MI, United States.
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Lam CM, Sanderson M, Vu DT, Sayed D, Latif U, Chadwick AL, Staats P, York A, Smith G, Velagapudi V, Khan TW. Musculoskeletal and Neuropathic Pain in COVID-19. Diagnostics (Basel) 2024; 14:332. [PMID: 38337848 PMCID: PMC10855145 DOI: 10.3390/diagnostics14030332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
Chronic pain constitutes a significant disease burden globally and accounts for a substantial portion of healthcare spending. The COVID-19 pandemic contributed to an increase in this burden as patients presented with musculoskeletal or neuropathic pain after contracting COVID-19 or had their chronic pain symptoms exacerbated by the virus. This extensive literature review analyzes the epidemiology of pain pre-pandemic, the costs associated with the COVID-19 pandemic, the impact of the virus on the body, mechanisms of pain, management of chronic pain post-pandemic, and potential treatment options available for people living with chronic pain who have had or are currently infected with COVID-19.
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Affiliation(s)
- Christopher M. Lam
- Department of Anesthesiology, Pain, and Perioperative Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (C.M.L.); (M.S.); (D.T.V.); (D.S.); (U.L.); (A.L.C.); (A.Y.)
| | - Miles Sanderson
- Department of Anesthesiology, Pain, and Perioperative Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (C.M.L.); (M.S.); (D.T.V.); (D.S.); (U.L.); (A.L.C.); (A.Y.)
| | - Dan T. Vu
- Department of Anesthesiology, Pain, and Perioperative Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (C.M.L.); (M.S.); (D.T.V.); (D.S.); (U.L.); (A.L.C.); (A.Y.)
| | - Dawood Sayed
- Department of Anesthesiology, Pain, and Perioperative Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (C.M.L.); (M.S.); (D.T.V.); (D.S.); (U.L.); (A.L.C.); (A.Y.)
| | - Usman Latif
- Department of Anesthesiology, Pain, and Perioperative Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (C.M.L.); (M.S.); (D.T.V.); (D.S.); (U.L.); (A.L.C.); (A.Y.)
| | - Andrea L. Chadwick
- Department of Anesthesiology, Pain, and Perioperative Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (C.M.L.); (M.S.); (D.T.V.); (D.S.); (U.L.); (A.L.C.); (A.Y.)
| | - Peter Staats
- National Spine and Pain Centers, Frederick, MD 21702, USA;
| | - Abigail York
- Department of Anesthesiology, Pain, and Perioperative Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (C.M.L.); (M.S.); (D.T.V.); (D.S.); (U.L.); (A.L.C.); (A.Y.)
| | - Gabriella Smith
- School of Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (G.S.); (V.V.)
| | - Vivek Velagapudi
- School of Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (G.S.); (V.V.)
| | - Talal W. Khan
- Department of Anesthesiology, Pain, and Perioperative Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (C.M.L.); (M.S.); (D.T.V.); (D.S.); (U.L.); (A.L.C.); (A.Y.)
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Bettinger JJ, Friedman BC. Opioids and Immunosuppression: Clinical Evidence, Mechanisms of Action, and Potential Therapies. Palliat Med Rep 2024; 5:70-80. [PMID: 38435086 PMCID: PMC10908329 DOI: 10.1089/pmr.2023.0049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2023] [Indexed: 03/05/2024] Open
Abstract
Background In addition to the more well-known adverse effects of opioids, such as constipation, mounting evidence supports underlying immunosuppressive effects as well. Methods In this study, we provide a narrative review of preclinical and clinical evidence of opioid suppression of the immune system as well as possible considerations for therapies. Results In vitro and animal studies have shown clear effects of opioids on inflammatory cytokine expression, immune cell activity, and pathogen susceptibility. Observational data in humans have so far supported preclinical findings, with multiple reports of increased rates of infections in various settings of opioid use. However, the extent to which this risk is due to the impact of opioids on the immune system compared with other risk factors associated with opioid use remains uncertain. Considering the data showing immunosuppression and increased risk of infection with opioid use, measures are needed to mitigate this risk in patients who require ongoing treatment with opioids. In preclinical studies, administration of opioid receptor antagonists blocked the immunomodulatory effects of opioids. Conclusions As selective antagonists of peripheral opioid receptors, peripherally acting mu-opioid receptor (MOR) antagonists may be able to protect against immune impairment while still allowing for opioid analgesia. Future research is warranted to further investigate the relationship between opioids and infection risk as well as the potential application of peripherally acting MOR antagonists to counteract these risks.
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Affiliation(s)
- Jeffrey J. Bettinger
- Pain Management, Saratoga Hospital Medical Group, Saratoga Springs, New York, USA
| | - Bruce C. Friedman
- JM Still Burn Center, Doctors Hospital of Augusta, Augusta, Georgia, USA
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Shakibfar S, Zhao J, Li H, Nordeng H, Lupattelli A, Pavlovic M, Sandve GK, Nyberg F, Wettermark B, Hajiebrahimi M, Andersen M, Sessa M. Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study. Front Public Health 2023; 11:1258840. [PMID: 38146473 PMCID: PMC10749372 DOI: 10.3389/fpubh.2023.1258840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/20/2023] [Indexed: 12/27/2023] Open
Abstract
Aims To develop a disease risk score for COVID-19-related hospitalization and mortality in Sweden and externally validate it in Norway. Method We employed linked data from the national health registries of Sweden and Norway to conduct our study. We focused on individuals in Sweden with confirmed SARS-CoV-2 infection through RT-PCR testing up to August 2022 as our study cohort. Within this group, we identified hospitalized cases as those who were admitted to the hospital within 14 days of testing positive for SARS-CoV-2 and matched them with five controls from the same cohort who were not hospitalized due to SARS-CoV-2. Additionally, we identified individuals who died within 30 days after being hospitalized for COVID-19. To develop our disease risk scores, we considered various factors, including demographics, infectious, somatic, and mental health conditions, recorded diagnoses, and pharmacological treatments. We also conducted age-specific analyses and assessed model performance through 5-fold cross-validation. Finally, we performed external validation using data from the Norwegian population with COVID-19 up to December 2021. Results During the study period, a total of 124,560 individuals in Sweden were hospitalized, and 15,877 individuals died within 30 days following COVID-19 hospitalization. Disease risk scores for both hospitalization and mortality demonstrated predictive capabilities with ROC-AUC values of 0.70 and 0.72, respectively, across the entire study period. Notably, these scores exhibited a positive correlation with the likelihood of hospitalization or death. In the external validation using data from the Norwegian COVID-19 population (consisting of 53,744 individuals), the disease risk score predicted hospitalization with an AUC of 0.47 and death with an AUC of 0.74. Conclusion The disease risk score showed moderately good performance to predict COVID-19-related mortality but performed poorly in predicting hospitalization when externally validated.
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Affiliation(s)
- Saeed Shakibfar
- Department of Drug Design and Pharmacology, Pharmacovigilance Research Center, University of Copenhagen, Copenhagen, Denmark
- Department of Drug Design and Pharmacology, Drug Safety Group, University of Copenhagen, Copenhagen, Denmark
| | - Jing Zhao
- Department of Pharmacy, Pharmacoepidemiology and Drug Safety Research Group, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
- UiO: RealArt Convergence Environment, University of Oslo, Oslo, Norway
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Huiqi Li
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Hedvig Nordeng
- Department of Pharmacy, Pharmacoepidemiology and Drug Safety Research Group, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
- UiO: RealArt Convergence Environment, University of Oslo, Oslo, Norway
| | - Angela Lupattelli
- Department of Pharmacy, Pharmacoepidemiology and Drug Safety Research Group, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
- UiO: RealArt Convergence Environment, University of Oslo, Oslo, Norway
| | - Milena Pavlovic
- UiO: RealArt Convergence Environment, University of Oslo, Oslo, Norway
- Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Geir Kjetil Sandve
- UiO: RealArt Convergence Environment, University of Oslo, Oslo, Norway
- Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Fredrik Nyberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Björn Wettermark
- Department of Pharmacy, Pharmacoepidemiology and Social Pharmacy, Uppsala University, Uppsala, Sweden
| | | | - Morten Andersen
- Department of Drug Design and Pharmacology, Pharmacovigilance Research Center, University of Copenhagen, Copenhagen, Denmark
| | - Maurizio Sessa
- Department of Drug Design and Pharmacology, Drug Safety Group, University of Copenhagen, Copenhagen, Denmark
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10
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Hedayatyaghoobi M, Azizmohammad Looha M, Shafiee A, Jafarabady K, Safari O, Alirezaei A, Bakhtiyari M. Association between opioid abuse and COVID-19 susceptibility: a propensity score matched study. BMC Infect Dis 2023; 23:851. [PMID: 38053042 DOI: 10.1186/s12879-023-08842-4] [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: 08/01/2023] [Accepted: 11/23/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Opioid use disorder (OUD) has been associated with adverse health outcomes, and its potential impact on COVID-19 outcomes is of significant concern. This study aimed to assess the susceptibility and clinical outcomes of hospitalized COVID-19 patients with OUD using a propensity score-matched design. METHODS A historical cohort study was conducted in Alborz province, Iran, during the early months of the COVID-19 pandemic. Patients aged 18 years and above with confirmed COVID-19 were included in the study. OUD was defined as a compulsive urge to use opioids or opioid-derivative drugs. Non-opioid abusers with COVID-19 were selected as the control group. Data on demographics, clinical characteristics, laboratory factors, comorbidities, and vital signs were collected. Propensity score matching (PSM) was used to balance the groups and assess the impact of OUD on ICU admission, mortality, the need for intubation, and the severity of pulmonary involvement on CT scans. RESULTS A total of 442 patients were included in the study, with 351 discharged and 34 deceased. The PSM analysis showed that OUD was not significantly associated with ICU admission (OR: 1.87, 95% CI: 0.22-2.91, p = 0.631). However, opium users had an increased risk of mortality (OR: 2.38, 95% CI: 1.30-4.35, p = 0.005) and a higher likelihood of requiring intubation (OR: 3.57, 95% CI: 1.38-9.39, p = 0.009) compared to non-opioid abusers. The severity of pulmonary involvement on CT scans did not show a significant association with OUD. CONCLUSION OUD among hospitalized COVID-19 patients was associated with an increased risk of mortality and the need for intubation. These findings highlight the importance of addressing OUD as a potential risk factor in the management and treatment of COVID-19 patients. Further research is warranted to explore the underlying mechanisms and develop appropriate interventions to mitigate the impact of OUD on COVID-19 outcomes.
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Affiliation(s)
| | - Mehdi Azizmohammad Looha
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arman Shafiee
- Department of Psychiatry and Mental Health, Alborz University of Medical Sciences, Karaj, Iran
- Student Research Committee, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
| | - Kyana Jafarabady
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Omid Safari
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Amirhesam Alirezaei
- Department of Nephrology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mahmood Bakhtiyari
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
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11
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Baker P, Cepeda JA, Schluth C, Astemborski J, Feder KA, Rudolph J, Sun J, Kirk GD, Mehta SH, Genberg BL. Time-to-completion of COVID-19 vaccination primary series varies by HIV viral load status among people who inject drugs in Baltimore, Maryland. Prev Med Rep 2023; 36:102448. [PMID: 37840593 PMCID: PMC10570701 DOI: 10.1016/j.pmedr.2023.102448] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 08/30/2023] [Accepted: 09/27/2023] [Indexed: 10/17/2023] Open
Abstract
People who inject drugs (PWID) may have diminished access to essential preventive services like COVID-19 vaccination given structural and substance use barriers. We aimed to assess the role of HIV on COVID-19 vaccination uptake among adult PWID participating in the ALIVE cohort study in Baltimore, Maryland who were alive as of April 2021. We abstracted COVID-19 vaccination data from electronic medical records via the regional health information exchange. We used Kaplan-Meier method to estimate time from universal vaccine eligibility (April 6, 2021) to completion of the COVID-19 vaccination primary series (1 dose J&J or 2 doses mRNA) by HIV viral load status (uninfected, PWH [HIV-RNA < 400 copies/mL], PWH [HIV-RNA ≥ 400 copies/mL]) and Cox Proportional Hazards regression to adjust for potential confounders. Our sample (N = 960) was primarily black (77%) and male (65%) with 31% reporting recent injection drug use. Among 265 (27%) people living with HIV (PWH) in our sample, 84% were virally suppressed. As of February 22, 2022, 539 (56%) completed the primary series, 131 (14%) received a single dose of mRNA vaccine and 290 (30%) remained unvaccinated. Compared to PWID without HIV, virally suppressed PWH were more likely to complete the primary series (Adjusted Hazard Ratio [aHR]:1.23,95% Confidence Interval [95 %CI]:1.07,1.50), while PWH who were not virally suppressed were less likely (aHR:0.72,95 %CI:0.45,1.16), although this was not statistically significant. We conclude that among PWID, HIV infection and viral suppression is associated with quicker vaccination uptake, likely due to HIV care engagement. Targeted improvements along the HIV care continuum may bolster vaccine uptake.
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Affiliation(s)
- Pieter Baker
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, United States
| | - Javier A Cepeda
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Catherine Schluth
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Kenneth A. Feder
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Jacqueline Rudolph
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Jing Sun
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
- School of Medicine, Johns Hopkins University, Baltimore, United States
| | - Shruti H. Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Becky L. Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
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12
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Patel EU, Mehta SH, Genberg BL, Baker OR, Schluth CG, Astemborski J, Fernandez RE, Quinn TC, Kirk GD, Laeyendecker O. Prevalence and correlates of SARS-CoV-2 seropositivity among people who inject drugs in Baltimore, Maryland. DRUG AND ALCOHOL DEPENDENCE REPORTS 2023; 8:100184. [PMID: 37637232 PMCID: PMC10450408 DOI: 10.1016/j.dadr.2023.100184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/29/2023]
Abstract
Background SARS-CoV-2 serosurveys can help characterize disparities in SARS-CoV-2 infection and identify gaps in population immunity. Data on SARS-CoV-2 seroprevalence among people who inject drugs (PWID) are limited. Methods We conducted a cross-sectional study between December 2020 and July 2022 among 561 participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study-a community-based cohort of current and former PWID in Baltimore, Maryland. Serum samples were assayed for infection-induced anti-nucleocapsid (anti-N) and infection and/or vaccination-induced anti-spike-1 (anti-S) SARS-CoV-2 IgG. We estimated adjusted prevalence ratios (aPR) via modified Poisson regression models. Results The median age was 59 years, 35% were female, 84% were non-Hispanic Black, and 16% reported recent injection drug use. Anti-N antibody prevalence was 26% and anti-S antibody prevalence was 63%. Anti-N and anti-S antibody prevalence increased over time. Being employed (aPR=1.53 [95%CI=1.11-2.11]) was associated with higher anti-N prevalence, while a cancer history (aPR=0.40 [95%CI=0.17-0.90]) was associated with lower anti-N prevalence. HIV infection was associated with higher anti-S prevalence (aPR=1.13 [95%CI=1.02-1.27]), while younger age and experiencing homelessness (aPR=0.78 [95%CI=0.60-0.99]) were factors associated with lower anti-S prevalence. Substance use-related behaviors were not significantly associated with anti-N or anti-S prevalence. Conclusions SARS-CoV-2 seroprevalence increased over time among current and former PWID, suggesting cumulative increases in the incidence of SARS-CoV-2 infection and vaccination; however, there were disparities in infection-induced seroprevalence and infection and/or vaccine-induced seroprevalence within this study sample. Dedicated prevention and vaccination programs are needed to prevent disparities in infection and gaps in population immunity among PWID during emerging epidemics.
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Affiliation(s)
- Eshan U. Patel
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Shruti H. Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Becky L. Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Owen R. Baker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Catherine G. Schluth
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Reinaldo E. Fernandez
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas C. Quinn
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Baltimore, MD, USA
| | - Gregory D. Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Oliver Laeyendecker
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Baltimore, MD, USA
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13
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Khani S, Tafaroji J, Yaghoubi M, Emami Kazemabad MJ, Hejazi SA. Prevalence of COVID-19 outcomes in patients referred to opioid agonist treatment centers. Front Pharmacol 2023; 14:1105176. [PMID: 37033605 PMCID: PMC10076798 DOI: 10.3389/fphar.2023.1105176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/15/2023] [Indexed: 04/11/2023] Open
Abstract
Background: Coronavirus disease (COVID-19) is a mild to severe infectious respiratory illness caused by the SARS-CoV-2 virus. Based on the numerous pieces of evidence regarding the role of opioids in immune function, viral replication, and virus-mediated pathology, we decided to assess the incidence and severity of COVID-19 outcomes in people undergoing opioid maintenance treatment. Methods: This is a prospective, descriptive, multi-center study that included 452 patients undergoing maintenance treatment in opioid agonist treatment (OAT) clinics in different cities of Iran. Demographic information, underlying disease, history of maintenance treatment, type of drug used, history of addiction, smoking, and the kind of substance abused, were recorded. A physician evaluated the COVID-19 symptoms, and the severity of the disease was defined based on the number of observed symptoms. Results: The results have not shown any significant difference in the severity of COVID-19 symptoms in different nationalities, gender, and treatment groups. Furthermore, the history of drug abuse, including time and type of abuse and smoking, has not indicated any significant association with the occurrence of symptoms. Only the severity of COVID-19 in the mentioned cities (first and second follow-up: p < 0.001) and individuals with a history of underlying disease (first follow-up: p = 0.020; second follow-up: p = 0.043) were significantly different. Conclusion: Our results have demonstrated that the severity of symptoms in people with the underlying disease was significantly higher than in others. But there is no association between sex, race, treatment groups, and abuse history with the severity of COVID-19 symptoms in methadone maintenance treatment (MMT) patients.
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Affiliation(s)
- Samira Khani
- Neuroscience Research Center, Qom University of Medical Sciences, Qom, Iran
| | - Javad Tafaroji
- Pediatric Medicine Research Center, Qom University of Medical Sciences, Qom, Iran
| | - Mehdi Yaghoubi
- Cellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran
| | | | - Seyed Amir Hejazi
- Neuroscience Research Center, Qom University of Medical Sciences, Qom, Iran
- *Correspondence: Seyed Amir Hejazi,
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14
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Krawczyk N, Rivera BD, Basaraba C, Corbeil T, Allen B, Schultebraucks K, Henry BF, Pincus HA, Levin FR, Martinez D. COVID-19 complications among patients with opioid use disorder: a retrospective cohort study across five major NYC hospital systems. Addiction 2022; 118:857-869. [PMID: 36459420 PMCID: PMC9878119 DOI: 10.1111/add.16105] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 11/18/2022] [Indexed: 12/05/2022]
Abstract
BACKGROUND AND AIMS Individuals with opioid use disorder (OUD) suffer disproportionately from COVID-19. To inform clinical management of OUD patients, research is needed to identify characteristics associated with COVID-19 progression and death among this population. We aimed to investigate the role of OUD and specific comorbidities on COVID-19 progression among hospitalized OUD patients. DESIGN Retrospective cohort study of merged electronic health records (EHR) from five large private health systems. SETTING New York City, New York, USA, 2011-21. PARTICIPANTS Adults with a COVID-19 encounter and OUD or opioid overdose diagnosis between March 2020 and February 2021. MEASUREMENTS Primary exposure included diagnosis of OUD/opioid overdose. Risk factors included age, sex, race/ethnicity and common medical, substance use and psychiatric comorbidities known to be associated with COVID-19 severity. Outcomes included COVID-19 hospitalization and subsequent intubation, acute kidney failure, severe sepsis and death. FINDINGS Of 110 917 COVID-19+ adults, 1.17% were ever diagnosed with OUD/opioid overdose. OUD patients had higher risk of COVID-19 hospitalization [adjusted risk ratio (aRR) = 1.40, 95% confidence interval (CI) = 1.33, 1.47], intubation [adjusted odds ratio (aOR) = 2.05, 95% CI = 1.74, 2.42], kidney failure (aRR = 1.51, 95% CI = 1.34, 1.70), sepsis (aRR = 2.30, 95% CI = 1.88, 2.81) and death (aRR = 2.10, 95% CI = 1.84, 2.40). Among hospitalized OUD patients, risks for worse COVID-19 outcomes included being male; older; of a race/ethnicity other than white, black or Hispanic; and having comorbid chronic kidney disease, diabetes, obesity or cancer. Protective factors included having asthma, hepatitis-C and chronic pain. CONCLUSIONS Opioid use disorder patients appear to have a substantial risk for COVID-19-associated morbidity and mortality, with particular comorbidities and treatments moderating this risk.
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Affiliation(s)
- Noa Krawczyk
- Center for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Bianca D Rivera
- Center for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Cale Basaraba
- Area Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA
| | - Thomas Corbeil
- Area Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA
| | - Bennett Allen
- Center for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Brandy F Henry
- College of Education, The Pennsylvania State University, University Park, PA, USA
| | - Harold A Pincus
- Department of Psychiatry and Irving Institute for Clinical and Translational Research, Columbia University and New York State Psychiatric Institute, New York, NY, USA
| | - Frances R Levin
- Department of Psychiatry and Irving Institute for Clinical and Translational Research, Columbia University and New York State Psychiatric Institute, New York, NY, USA
| | - Diana Martinez
- Department of Psychiatry and Irving Institute for Clinical and Translational Research, Columbia University and New York State Psychiatric Institute, New York, NY, USA
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15
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Shanthanna H, Nelson AM, Kissoon N, Narouze S. The COVID-19 pandemic and its consequences for chronic pain: a narrative review. Anaesthesia 2022; 77:1039-1050. [PMID: 35848380 PMCID: PMC9350079 DOI: 10.1111/anae.15801] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/22/2022] [Indexed: 11/30/2022]
Abstract
The COVID-19 pandemic transformed everyday life, but the implications were most impactful for vulnerable populations, including patients with chronic pain. Moreover, persistent pain is increasingly recognised as a key manifestation of long COVID. This narrative review explores the consequences of the COVID-19 pandemic for chronic pain. Publications were identified related to the COVID-19 pandemic influence on the burden of chronic pain, development of new-onset pain because of long COVID with proposed mechanisms and COVID-19 vaccines and pain interventions. Broadly, mechanisms underlying pain due to SARS-CoV-2 infection could be caused by 'systemic inflammatory-immune mechanisms', 'direct neuropathic mechanisms' or 'secondary mechanisms due to the viral infection or treatment'. Existing chronic pain populations were variably impacted and social determinants of health appeared to influence the degree of effect. SARS-CoV-2 infection increased the absolute numbers of patients with pain and headache. In the acute phase, headache as a presenting symptom predicted a milder course. New-onset chronic pain was reportedly common and likely involves multiple mechanisms; however, its prevalence decreases over time and symptoms appear to fluctuate. Patients requiring intensive support were particularly susceptible to long COVID symptoms. Some evidence suggests steroid exposure (often used for pain interventions) may affect vaccine efficacy, but there is no evidence of clinical repercussions to date. Although existing chronic pain management could help with symptomatic relief, there is a need to advance research focusing on mechanism-based treatments within the domain of multidisciplinary care.
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Affiliation(s)
- H Shanthanna
- Department of Anesthesia, McMaster University, Hamilton, ON, Canada
| | - A M Nelson
- Department of Anesthesiology and Perioperative Care, University of California Irvine, Orange, CA, USA
| | - N Kissoon
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - S Narouze
- Center for Pain Medicine, Western Reserve Hospital, Cuyahoga Falls, OH, USA
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