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Szewczyk W, Fitzpatrick AL, Fossou H, Gentile NL, Sotoodehnia N, Vora SB, West TE, Bertolli J, Cope JR, Lin JMS, Unger ER, Vu QM. Long COVID and recovery from Long COVID: quality of life impairments and subjective cognitive decline at a median of 2 years after initial infection. BMC Infect Dis 2024; 24:1241. [PMID: 39497076 PMCID: PMC11536968 DOI: 10.1186/s12879-024-10158-w] [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: 11/28/2023] [Accepted: 10/30/2024] [Indexed: 11/06/2024] Open
Abstract
BACKGROUND Recovery from SARS CoV-2 infection is expected within 3 months. Long COVID occurs after SARS-CoV-2 when symptoms are present for more than 3 months that are continuous, relapsing and remitting, or progressive. Better understanding of Long COVID illness trajectories could strengthen patient care and support. METHODS We characterized functional impairments, quality of life (QoL), and cognition among patients who recovered from SARS-CoV-2 infection within 3 months (without Long COVID), after 3 months (Recovered Long COVID), or remained symptomatic (Long COVID). Among 7305 patients identified with previous SARS-CoV-2 infection between March 2020 and December 2021, confirmed in the medical record with laboratory test or physician diagnosis, 435 (6%) completed a single self-administered survey between March 2022 and September 2022. Multi-domain QoL and cognitive concerns were evaluated using PROMIS-29 and the Cognitive Change Index-12. RESULTS Nearly half the participants (47.7%) were surveyed more than 2 years from initial infection (median = 23.3 months; IQR = 18.6, 26.7) and 86.7% were surveyed more than 1 year from infection. A significantly greater proportion of the Long COVID (n = 215) group, (Current and Recovered combined), had moderate-to-severe impairment in all health domains assessed compared to those Without Long COVID (n = 220; all p < 0.05). The Recovered Long COVID group (n = 34) had significantly lower prevalence of fatigue, pain, depression, and physical and social function impairment compared to those with Current Long COVID (n = 181; all p < 0.05). However, compared to patients Without Long COVID, the Recovered Long COVID group had greater prevalences of fatigue, pain (p ≤ 0.06) and subjective cognitive decline (61.8% vs 29.1%; p < 0.01). Multivariate relative risk (RR) regression indicated Long COVID risk was greater for older age groups (RR range 1.46-1.52; all p ≤ 0.05), those without a bachelor's degree (RR = 1.33; 95% CI = 1.03-1.71; p = 0.03), and those with 3 or more comorbidities prior to SARS-CoV-2 infection (RR = 1.45; 95% CI = 1.11-1.90; p < 0.01). CONCLUSIONS Long COVID is associated with long-term subjective cognitive decline and diminished quality of life. Clinically significant cognitive complaints, fatigue, and pain were present even in those who reported they had recovered from Long COVID. These findings have implications for the sustainability of participation in work, education, and social activities.
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Affiliation(s)
- Warren Szewczyk
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
| | - Annette L Fitzpatrick
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Herve Fossou
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Nicole L Gentile
- Department of Family Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Nona Sotoodehnia
- Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Surabhi B Vora
- Division of Infectious Diseases, Department of Pediatrics, Seattle Children's Hospital, Seattle, WA, USA
| | - T Eoin West
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jeanne Bertolli
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jennifer R Cope
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jin-Mann S Lin
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Quan M Vu
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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Angeles MR, Dinh TTN, Zhao T, de Graaff B, Hensher M. The economic burden of long COVID in Australia: more noise than signal? Med J Aust 2024; 221 Suppl 9:S31-S39. [PMID: 39489519 DOI: 10.5694/mja2.52468] [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: 01/19/2024] [Accepted: 08/26/2024] [Indexed: 11/05/2024]
Abstract
OBJECTIVE To estimate the potential economic burden of long COVID in Australia. DESIGN A stock-and-flow model of weekly estimated numbers of people with long COVID (January 2021 to June 2023); application of proxy cost estimates from people living with myalgic encephalomyelitis/chronic fatigue syndrome; time series analysis of labour market and social security datasets. SETTING The working age Australian population. MAIN OUTCOME MEASURES The likely number of Australians severely impacted by long COVID; the economic cost of long COVID; and the impacts of long COVID, determined by analysis of labour market data. RESULTS At its peak in late 2022, between 181 000 and 682 000 Australians may have experienced some long COVID symptoms, of whom 40 000-145 000 may have been severely affected. Severe cases potentially decreased to affecting 10 000-38 000 people by June 2023. The likely economic burden of long COVID in Australia during 2022 was between $1.7 billion and $6.3 billion (some 0.07% to 0.26% of gross domestic product). Labour market data suggest that between 25 000 (February 2023) and 103 000 (June 2023) more working age Australians reported being unable to work due to long term sickness than would have been predicted based on pre-COVID-19 trends. This does not appear to have translated into increased claims for Disability Support Pensions, but numbers of working age Carer Allowance recipients have grown markedly since 2022. CONCLUSIONS Long COVID likely imposed a small but significant aggregate toll on the Australian economy, while exposing tens of thousands of Australians to substantial personal economic hardship and contributing to labour market supply constraints. Yet while some signal from long COVID is discernible in the labour force data, Australia lacks adequate direct surveillance data to securely guide policy making.
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Hall JP, Kurth NK, McCorkell L, Goddard KS. Long COVID Among People With Preexisting Disabilities. Am J Public Health 2024; 114:1261-1264. [PMID: 39208357 PMCID: PMC11447800 DOI: 10.2105/ajph.2024.307794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2024] [Indexed: 09/04/2024]
Abstract
Objectives. To document the prevalence of long COVID among a sample of survey respondents with long-term disabilities that existed before 2020 and to compare the prevalence among this group with that among the general population. Methods. We conducted a cross-sectional, descriptive study using data from the 2022 National Survey on Health and Disability (n = 2262) and comparative data for the general population from the federal Household Pulse Survey (HPS). Results. The prevalence of long COVID was higher among people with preexisting disabilities than in the general population (40.6% vs 18.9%). Conclusions. People with preexisting disabilities experienced and continue to experience increased exposure to COVID-19 and barriers to accessing health care, COVID-19 vaccines, and COVID-19 tests. These barriers, combined with long-standing health disparities in this population, may have contributed to the greater prevalence of long COVID among people with disabilities. Public Health Implications. The needs of people with disabilities must be centered in the response to the COVID-19 pandemic and future pandemics. (Am J Public Health. 2024;114(11):1261-1264. https://doi.org/10.2105/AJPH.2024.307794).
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Affiliation(s)
- Jean P Hall
- Jean P. Hall, Noelle K. Kurth, and Kelsey S. Goddard are with the Institute for Health and Disability Policy Studies, Life Span Institute, University of Kansas, Lawrence. Lisa McCorkell is with the Patient-Led Research Collaborative, Calabasas, CA
| | - Noelle K Kurth
- Jean P. Hall, Noelle K. Kurth, and Kelsey S. Goddard are with the Institute for Health and Disability Policy Studies, Life Span Institute, University of Kansas, Lawrence. Lisa McCorkell is with the Patient-Led Research Collaborative, Calabasas, CA
| | - Lisa McCorkell
- Jean P. Hall, Noelle K. Kurth, and Kelsey S. Goddard are with the Institute for Health and Disability Policy Studies, Life Span Institute, University of Kansas, Lawrence. Lisa McCorkell is with the Patient-Led Research Collaborative, Calabasas, CA
| | - Kelsey S Goddard
- Jean P. Hall, Noelle K. Kurth, and Kelsey S. Goddard are with the Institute for Health and Disability Policy Studies, Life Span Institute, University of Kansas, Lawrence. Lisa McCorkell is with the Patient-Led Research Collaborative, Calabasas, CA
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Silver SR, Li J, Ford ND, Saydah SH. Functional disabilities and adverse well-being by COVID-19 and Long COVID history and employment status: 2022 Behavioral Risk Factor Surveillance System. Am J Ind Med 2024. [PMID: 39450880 DOI: 10.1002/ajim.23669] [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: 07/25/2024] [Revised: 08/26/2024] [Accepted: 09/26/2024] [Indexed: 10/26/2024]
Abstract
BACKGROUND Long COVID can lead to functional disabilities and decreased well-being and limit the ability to work. No study has yet assessed associations of SARS-CoV-2-infection and Long COVID with specific measures of well-being and functional disabilities among workers by employment status. METHODS Using data from the U.S. Behavioral Risk Factor Surveillance System, we assessed the prevalence of functional disabilities and well-being measures among adults of prime working age (25-54 years) by employment status and self-reported COVID-19 and Long COVID history. Within each employment status, we generated adjusted prevalence ratios (aPRs) comparing respondents from each 2022 COVID-19/Long COVID category to respondents in that employment status before the pandemic (2019). RESULTS In 2022, prevalences of each functional disability except vision and all adverse well-being measures were highest among the 9.2% of respondents reporting a history of Long COVID. For each outcome, prevalences were lowest for workers and highest among those unable to work. 2022 prevalence of cognitive disability (16.4% of employees, 21.4% of the self-employed) and depression (31.2% and 36.4%, respectively) among workers reporting a history of Long COVID were more than double 2019 levels. Increases in cognitive disability and depression were lower but statistically significant among workers not reporting a history of Long COVID. CONCLUSIONS The high prevalence of functional disabilities and adverse well-being among workers reporting a history of Long COVID have implications for workers and employers. Also concerning are smaller increases among workers not reporting a history of Long COVID, given the large number of affected workers. Mitigating the effects of Long COVID on workers will involve efforts in multiple domains: reducing incidence, increasing healthcare practitioner awareness, improving diagnosis and treatments, and increasing employer awareness of best practices for accommodating workers with Long COVID.
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Affiliation(s)
- Sharon R Silver
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
| | - Jia Li
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
| | - Nicole D Ford
- Coronaviruses and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sharon H Saydah
- Coronaviruses and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Di Fusco M, Cappelleri JC, Yehoshua A, Craig KJT, Alvarez MB, Allen KE, Porter TM, Lopez SMC, Puzniak L, Sun X. Associations between symptom-based long COVID clusters and long-term quality of life, work and daily activities among individuals testing positive for SARS-CoV-2 at a national retail pharmacy. J Patient Rep Outcomes 2024; 8:122. [PMID: 39436613 PMCID: PMC11496399 DOI: 10.1186/s41687-024-00797-7] [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: 11/30/2023] [Accepted: 10/09/2024] [Indexed: 10/23/2024] Open
Abstract
BACKGROUND Evidence on long COVID symptom clustering patterns among patients with COVID-19 is limited. We summarized long COVID symptoms in clusters defined by number of symptoms co-occurring together, and we assessed Health-Related Quality of Life (HQRoL), Work Productivity and Activity Impairment (WPAI) outcomes across these clusters over time. We assessed associations between the clusters and BNT162b2 vaccination status. METHODS A prospective longitudinal patient-reported outcomes (PRO) study recruited laboratory-confirmed symptomatic COVID-19 patients seeking testing from a national retail pharmacy. Long COVID-19 symptoms were self-reported by participants at 4-week, 3-month and 6-month surveys. Patient classes identified via latent class analysis (LCA) with long COVID-19 symptoms were simplified into clusters based on number of symptoms. HRQoL and WPAI outcomes were collected using EQ-ED-5L and WPAI: GH questionnaires. Mixed models for repeated measures analyses were conducted to examine associations between exposure groups and outcomes. RESULTS The study included 328 participants that were segmented into three groups of long COVID-19 symptoms based on LCA and then simplified by the number of symptoms (Cluster 1 low, <2; Cluster 2 moderate, 2-6; and Cluster 3 high, >6 symptoms). The number of long COVID-19 symptoms was negatively associated with HRQoL and WPAI, whereby participants with high symptom burden (>6 symptoms) had the lowest HRQoL and WPAI scores assessed by absenteeism, presenteeism, work productivity loss, activity impairment, and hours worked metrics. Compared with those unvaccinated and not up-to-date with COVID-19 vaccination, subjects boosted with BNT162b2 consistently reported less symptom burden during the follow-up, regardless of their symptom-based cluster. CONCLUSION Three distinct patient clusters based on frequency of long COVID symptoms experienced different HRQoL and WPAI outcomes over 6 months. The cluster with more concomitant symptoms experienced greater burden than the others. Participants up-to-date with BNT162b2 reported lower symptom burden across all clusters and timeframes. CLINICAL TRIAL REGISTRATION Clinicaltrials.gov NCT05160636.
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Ipsen C, Sage R, Standley K. "Too few, too far away, for what is paid": Consumer voices about the personal assistance worker crisis. Disabil Health J 2024:101721. [PMID: 39448356 DOI: 10.1016/j.dhjo.2024.101721] [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: 03/11/2024] [Revised: 10/16/2024] [Accepted: 10/17/2024] [Indexed: 10/26/2024]
Abstract
BACKGROUND The growing gap between demand and supply of personal assistance service (PAS) workers presents a significant burden to those who use services. The intensity and duration of hardship is growing, and consumer voices need to be heard and incorporated into the national dialogue. OBJECTIVE This paper explores how PAS worker shortages manifest themselves in the daily lives of people with disabilities using or needing PAS services in the United States. METHODS We used thematic coding of qualitative data from the 2022 National Survey on Health and Disability. Respondents (n = 330) provided open-ended responses to the prompt "Briefly explain the types of problems or issues you have had finding PAS or support workers." RESULTS Three themes emerged regarding consumer perspectives and experiences with worker shortages (1) low pay, few benefits, and undervalued work, (2) demanding working conditions and logistics, and (3) low quality workers. In combination, these themes informed a fourth theme (4) impacts for PAS consumers characterized by substandard care and additional stress and workload for those who direct their own care. CONCLUSIONS As a society, we have taken steps to increase opportunities for community living and created policies to uphold choice and independence for people with disabilities. In the absence of an adequate workforce to support these policies, however, we convey an empty promise. Without tangible steps to resolve these problems at the policy level, such as improved worker pay and protections, hope for resolution to these issues remains elusive.
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Affiliation(s)
- Catherine Ipsen
- University of Montana Rural Institute, Research and Training Center on Disability in Rural Communities, Missoula, MT, 59812, USA.
| | - Rayna Sage
- University of Montana Rural Institute, Research and Training Center on Disability in Rural Communities, Missoula, MT, 59812, USA
| | - Krys Standley
- University of Montana Rural Institute, Research and Training Center on Disability in Rural Communities, Missoula, MT, 59812, USA
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Grout L. Use of Complementary and Integrative Health Approaches in Adults with Long COVID in the US, a Nationally Representative Survey. JOURNAL OF INTEGRATIVE AND COMPLEMENTARY MEDICINE 2024. [PMID: 39415747 DOI: 10.1089/jicm.2024.0283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
Background: Long COVID is a serious, complex condition that has affected the lives of millions of people globally. Complementary and integrative health (CIH) approaches offer a wide range of potential therapies for the management of long COVID symptoms. However, there is limited information available about the utilization of CIH among long COVID patients. Methods: Nationally representative cross-sectional data from the United States 2022 National Health Interview Survey (NHIS, response rate 47.7%, n = 27,651) were used to investigate prevalence and predictors of CIH use in the past 12 months among individuals who experienced long COVID. The 12-month prevalence of CIH use was descriptively analyzed for those with long COVID versus those without using chi-squared tests or unpaired t-tests. Independent predictors of CIH use among individuals with long COVID were analyzed using a stepwise multiple logistic regression analysis. Results: A weighted total of 17,610,801 US adults (19.7%) who had a confirmed case of coronavirus disease 2019 (COVID-19) developed long COVID symptoms. A slightly greater proportion of individuals with long COVID (44.4%) than those without (40.9%) used CIH approaches in the past 12 months. The most used approaches were meditation, yoga, and massage therapy. CIH use by those with long COVID was significantly associated with younger age, female sex, higher education level, having health insurance coverage, higher household income level, receiving three or more COVID-19 vaccination doses, ever having asthma, and ever having an anxiety or depression diagnosis. Conclusions: Long COVID represents a major challenge for patients, health care providers, health care systems, economies, and global public health. CIH approaches may play an important role in symptom management for some patients, and additional research is needed to identify which modalities are most effective. Patients and health care providers may benefit from better information about the available options for treatment.
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Affiliation(s)
- Leah Grout
- Southern California University of Health Sciences, Whittier, CA, USA
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8
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Connor C, Taylor HA. The Importance of Including Long COVID Outcomes When Developing Novel Treatments for Acute COVID-19. J Infect Dis 2024; 230:789-796. [PMID: 38768246 DOI: 10.1093/infdis/jiae270] [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: 02/26/2024] [Revised: 05/14/2024] [Accepted: 05/17/2024] [Indexed: 05/22/2024] Open
Abstract
Amid efforts to develop effective treatments for acute COVID-19, there is growing recognition of the need to address long COVID as a key outcome measure. We argue there are 7 compelling reasons to include long COVID measurements in clincal trials investigating acute COVID-19 treatments: (1) Long COVID is not rare. (2) Long COVID is debilitating to individuals and has a high societal cost. (3) Those at high risk of severe COVID-19 are also at higher risk of developing long COVID if they are infected with COVID-19. (4) Treatments for acute COVID-19 may reduce the risk of long COVID. (5) Measures exist to track long COVID. (6) Long COVID considerations are potentially important for acute COVID-19 treatment decision making. (7) Deaths and hospitalizations due to COVID-19 are increasingly rare. While not every trial needs to include assessments of long COVID, it is worth the research burden to include assessments where possible, as this could facilitate the uptake of acute COVID-19 treatments that lessen the societal burden of long COVID.
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Affiliation(s)
- Chloe Connor
- Department of Bioethics, Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Holly A Taylor
- Department of Bioethics, Clinical Center, National Institutes of Health, Bethesda, Maryland
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Vogel JM, Pollack B, Spier E, McCorkell L, Jaudon TW, Fitzgerald M, Davis H, Cohen AK. Designing and optimizing clinical trials for long COVID. Life Sci 2024; 355:122970. [PMID: 39142505 DOI: 10.1016/j.lfs.2024.122970] [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: 05/17/2024] [Revised: 08/07/2024] [Accepted: 08/10/2024] [Indexed: 08/16/2024]
Abstract
Long COVID is a debilitating, multisystemic illness following a SARS-CoV-2 infection whose duration may be indefinite. Over four years into the pandemic, little knowledge has been generated from clinical trials. We analyzed the information available on ClinicalTrials.gov, and found that the rigor and focus of trials vary widely, and that the majority test non-pharmacological interventions with insufficient evidence. We highlight promising trials underway, and encourage the proliferation of clinical trials for treating Long COVID and other infection-associated chronic conditions and illnesses (IACCIs). We recommend several guidelines for Long COVID trials: First, pharmaceutical trials with potentially curative, primary interventions should be prioritized, and both drug repurposing and new drug development should be pursued. Second, study designs should be both rigorous and accessible, e.g., triple-blinded randomized trials that can be conducted remotely, without participants needing to leave their homes. Third, studies should have multiple illness comparator cohorts for IACCIs such as myalgic encephalomyelitis (ME/CFS) and dysautonomia, and screen for the full spectrum of symptomatology and pathologies of these illnesses. Fourth, studies should consider inclusion/exclusion criteria with an eye towards equity and breadth of representation, including participants of all races, ethnicities, and genders most impacted by COVID-19, and including all levels of illness severity. Fifth, involving patient-researchers in all aspects of studies brings immensely valuable perspectives that will increase the impact of trials. We also encourage the development of efficient clinical trial designs including methods to study several therapies in parallel.
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Affiliation(s)
- Julia Moore Vogel
- Scripps Research Translational Institute, Scripps Research, La Jolla, CA, United States of America; Patient-Led Research Collaborative, United States of America.
| | - Beth Pollack
- Patient-Led Research Collaborative, United States of America; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Ezra Spier
- Patient-Led Research Collaborative, United States of America
| | - Lisa McCorkell
- Patient-Led Research Collaborative, United States of America
| | - Toni Wall Jaudon
- Patient-Led Research Collaborative, United States of America; University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | | | - Hannah Davis
- Patient-Led Research Collaborative, United States of America
| | - Alison K Cohen
- Patient-Led Research Collaborative, United States of America; University of California San Francisco, Department of Epidemiology & Biostatistics and Philip R. Lee Institute for Health Policy Studies, 550 16th street, 2nd floor, San Francisco, CA 94158, United States of America
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Silver SR, Li J, Ford ND, Shi D, Saydah SH. Prevalence of COVID-19 and Long COVID by industry and occupation: Behavioral Risk Factor Surveillance System 2022. Am J Ind Med 2024. [PMID: 39392098 DOI: 10.1002/ajim.23665] [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: 07/25/2024] [Revised: 09/06/2024] [Accepted: 09/16/2024] [Indexed: 10/12/2024]
Abstract
BACKGROUND Workers in healthcare and other essential occupations had elevated risks for COVID-19 infection early in the pandemic. No survey of U.S. workers to date has comprehensively assessed the prevalence of both COVID-19 and Long COVID across industries and occupations (I&O) at a detailed level. METHODS Behavioral Risk Factor Surveillance System data for 2022 from 39 states, Guam, and the U.S. Virgin Islands were used to estimate prevalence of self-reported history of COVID-19 and Long COVID, as well as the prevalence of Long COVID among those reporting prior COVID-19, by broad and detailed I&O. Adjusted prevalence ratios were used to compare outcome prevalence in each I&O to prevalence among all other workers combined. RESULTS By broad I&O, workers in healthcare, protective services, and education had elevated prevalences of COVID-19. The prevalence of Long COVID was elevated in healthcare and protective service but not education workers. Detailed I&O with significantly elevated prevalences of COVID-19 but not Long COVID included Dairy Product Manufacturing industry workers and subsets of mining workers. Both COVID-19 and Long COVID were elevated among bartenders/drinking places and personal care and appearance workers. The prevalence of Long COVID was elevated among farmworkers who reported having had COVID-19. CONCLUSIONS Industries and occupations with elevated levels of COVID-19 or Long COVID in this study may warrant increased measures to prevent transmission of airborne respiratory viruses. Accommodations are a key component for supporting workers in all workplaces. This new information about the distribution of Long COVID by I&O suggests where employer understanding and implementation of tailored workplace supports and accommodations are most needed to support continued employment of affected workers.
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Affiliation(s)
- S R Silver
- National Institute for Occupational Safety and Health, Division of Field Studies and Engineering, Health Informatics Branch, Cincinnati, Ohio, USA
| | - J Li
- National Institute for Occupational Safety and Health, Division of Field Studies and Engineering, Health Informatics Branch, Cincinnati, Ohio, USA
| | - N D Ford
- Centers for Disease Control and Prevention, Coronaviruses and Other Respiratory Viruses Division, Epidemiology Branch, Atlanta, Georgia, USA
| | - D Shi
- National Institute for Occupational Safety and Health, Division of Field Studies and Engineering, Hazard Evaluations and Technical Assistance Branch, Cincinnati, OH, USA
| | - S H Saydah
- Centers for Disease Control and Prevention, Coronaviruses and Other Respiratory Viruses Division, Epidemiology Branch, Atlanta, Georgia, USA
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Edwards DL, Shah MM, Shi DS, Ford ND, Rinsky JL, Jones JM, Spencer B, Haynes J, Saydah SH. Occupational and industry prevalence of new long-term symptoms within American Red Cross blood donors with and without history of SARS-CoV-2 infection. Am J Ind Med 2024. [PMID: 39367848 DOI: 10.1002/ajim.23670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 09/25/2024] [Accepted: 09/27/2024] [Indexed: 10/07/2024]
Abstract
PURPOSE Limited information is known about the burden of Long COVID by occupation and industry. This study compares the occurrence of self-reported new long-term symptoms lasting 4 weeks or longer among blood donors with and without prior SARS-CoV-2 infection by occupation and industry. METHODS The American Red Cross invited blood donors 18 years and older who donated during May 4-December 31, 2021 to participate in online surveys. New long-term symptoms lasting 4 weeks or longer were assessed by self-reported occurrence of any of 35 symptoms since March 2020. SARS-CoV-2 infection status was determined by serological testing and self-report. We describe the prevalence of new long-term symptoms by SARS-CoV-2 infection status. We calculate the difference in reported new long-term symptoms by SARS-CoV-2 infection status within occupation and industry categories. RESULTS Data were collected from 27,907 employed adults - 9763 were previously infected and 18,234 were never infected with SARS-CoV-2. New long-term symptoms were more prevalent among those previously infected compared to the never-infected respondents (45% vs 24%, p < 0.05). Among all respondents, new long-term symptoms by occupation ranged from 26% (installation, maintenance, and repair) to 41% (healthcare support) and by industry ranged from 26% (mining) to 55% (accommodation and food services). New long-term neurological and other symptoms were commonly reported by those previously infected with SARS-CoV-2. DISCUSSION New long-term symptoms are more prevalent among certain occupation and industry groups, which likely reflects differential exposure to SARS-CoV-2. These findings highlight potential need for workplace accommodations in a variety of occupational settings to address new long-term symptoms.
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Affiliation(s)
- Deja L Edwards
- Eagle Global Scientific, Huntsville, Alabama, USA
- Coronavirus & Other Respiratory Viruses Division (CORVD) National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Melisa M Shah
- Coronavirus & Other Respiratory Viruses Division (CORVD) National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Dallas S Shi
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio, USA
| | - Nicole D Ford
- Coronavirus & Other Respiratory Viruses Division (CORVD) National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Jessica L Rinsky
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio, USA
| | - Jefferson M Jones
- Coronavirus & Other Respiratory Viruses Division (CORVD) National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Bryan Spencer
- American Red Cross, Washington, District of Columbia, USA
| | - James Haynes
- American Red Cross, Washington, District of Columbia, USA
| | - Sharon H Saydah
- Coronavirus & Other Respiratory Viruses Division (CORVD) National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
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Peluso MJ, Deeks SG. Mechanisms of long COVID and the path toward therapeutics. Cell 2024; 187:5500-5529. [PMID: 39326415 PMCID: PMC11455603 DOI: 10.1016/j.cell.2024.07.054] [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: 10/30/2023] [Revised: 07/30/2024] [Accepted: 07/30/2024] [Indexed: 09/28/2024]
Abstract
Long COVID, a type of post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (PASC) defined by medically unexplained symptoms following infection with SARS-CoV-2, is a newly recognized infection-associated chronic condition that causes disability in some people. Substantial progress has been made in defining its epidemiology, biology, and pathophysiology. However, there is no cure for the tens of millions of people believed to be experiencing long COVID, and industry engagement in developing therapeutics has been limited. Here, we review the current state of knowledge regarding the biology and pathophysiology of long COVID, focusing on how the proposed mechanisms explain the physiology of the syndrome and how they provide a rationale for the implementation of a broad experimental medicine and clinical trials agenda. Progress toward preventing and curing long COVID and other infection-associated chronic conditions will require deep and sustained investment by funders and industry.
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Affiliation(s)
- Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
| | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
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13
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Ford ND, Slaughter D, Dalton AF, Edwards D, Ma K, King H, Saydah S. Health Insurance and Access to Care in U.S. Working-Age Adults Experiencing Long COVID. Am J Prev Med 2024; 67:530-539. [PMID: 38762206 DOI: 10.1016/j.amepre.2024.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 05/10/2024] [Accepted: 05/13/2024] [Indexed: 05/20/2024]
Abstract
INTRODUCTION Long COVID encompasses a wide range of health problems that emerge, persist, or recur following acute coronavirus disease 2019 (COVID-19) illness. Given that the prevalence of self-reported Long COVID is highest among U.S. adults in their prime working years, it is important to identify unmet needs and gaps in healthcare access and coverage among working-age adults. METHODS Prevalences (95% confidence intervals [CI]) of health insurance coverage and access to care by Long COVID status were estimated among adults 18-64 years (n=18,117), accounting for survey design and weighted to the U.S. non-institutionalized population in the 2022 National Health Interview Survey. Analyses were conducted in 2023. RESULTS Overall, 3.7% (95% CI 3.4, 4.0) of respondents were experiencing Long COVID. Adults experiencing Long COVID were less likely to report being uninsured relative to adults not experiencing Long COVID (p=0.004); however, 49.0% (95% CI 43.2, 54.7) had high deductible health plans. Adjusting for sociodemographic characteristics, adults experiencing Long COVID were more likely to access healthcare compared to adults not experiencing Long COVID (p<0.01 for seeing a doctor, telemedicine appointments, ≥2 urgent care visits, ≥2 emergency department visits, and hospitalized overnight). Despite more frequent healthcare use, adults experiencing Long COVID were also more likely to abstain from and delay medical care, therapy, and prescriptions due to cost compared to adults not experiencing Long COVID (p<0.0001 for all comparisons). CONCLUSIONS These findings may be used to inform healthcare planning for adults experiencing Long COVID and highlight the ongoing need to improve access and affordability of quality and comprehensive care.
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Affiliation(s)
- Nicole D Ford
- Coronavirus and Other Respirator Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia.
| | - Douglas Slaughter
- Coronavirus and Other Respirator Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia; General Dynamics Information Technology, Falls Church, Virginia
| | - Alexandra F Dalton
- Coronavirus and Other Respirator Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | - Deja Edwards
- Coronavirus and Other Respirator Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia; Eagle Global Scientific, Atlanta, Georgia
| | - Kevin Ma
- Coronavirus and Other Respirator Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia; Epidemic Intelligence Service, Division of Workforce Development, Public Health Infrastructure Center, CDC, Atlanta, Georgia
| | - Hope King
- Coronavirus and Other Respirator Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | - Sharon Saydah
- Coronavirus and Other Respirator Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
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14
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Tambling RR, Hynes KC, Carolan K, Charles D, Moynihan L. The Long-COVID Well-Being Scale (LCOVID-WBS): Development of a nascent measure of long-COVID symptoms and impacts. J Affect Disord 2024; 361:67-73. [PMID: 38810786 DOI: 10.1016/j.jad.2024.05.134] [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: 02/20/2024] [Revised: 05/22/2024] [Accepted: 05/25/2024] [Indexed: 05/31/2024]
Abstract
As is now well-known, COVID-19 is a highly contagious disease, which for some can cause symptoms that last long after initial infection. In 2021, a clinical set of symptoms referred to as long-COVID was identified. For many patients, long-COVID is a confusing and frightening multisystem disease, with the potential for myriad negative psychosocial effects, including significant impacts on employment and mental health, and requiring ongoing care. Research and treatment of long-COVID will be facilitated by a sound measure that addresses aspects of well-being, symptom experiences, and psychosocial impacts among long-COVID patients. The present work addresses this need by presenting the results of the development and preliminary psychometrics for the Long-COVID Well-Being Scale (LCOVID-WBS). In an exploratory factor analysis with a panel of 236 participants, researchers identified four factors: Emotional Strain, Physical Ability Strain, Control of Life, and Overall Evaluation of Health. The nascent measure represents the first step to measuring the impacts of long-COVID.
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Affiliation(s)
| | - Kevin C Hynes
- University of Wisconsin, Stout, United States of America
| | - Kelsi Carolan
- University of Connecticut School of Social Work, United States of America
| | - Doreek Charles
- University of Connecticut School of Social Work, United States of America
| | - Laura Moynihan
- University of Connecticut School of Social Work, United States of America
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15
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Blitshteyn S, Verduzco-Gutierrez M. Long COVID: A Major Public Health Issue. Am J Phys Med Rehabil 2024; 103:e131-e132. [PMID: 38686827 DOI: 10.1097/phm.0000000000002486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
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16
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Griffin DO. Postacute Sequelae of COVID (PASC or Long COVID): An Evidenced-Based Approach. Open Forum Infect Dis 2024; 11:ofae462. [PMID: 39220656 PMCID: PMC11363684 DOI: 10.1093/ofid/ofae462] [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: 06/14/2024] [Accepted: 08/09/2024] [Indexed: 09/04/2024] Open
Abstract
While the acute manifestations of infectious diseases are well known, in some individuals, symptoms can either persist or appear after the acute period. Postviral fatigue syndromes are recognized with other viral infections and are described after coronavirus disease 2019 (COVID-19). We have a growing number of individuals with symptoms that persist for weeks, months, and years. Here, we share the evidence regarding the abnormalities associated with postacute sequelae of COVID-19 (PASC) and therapeutics. We describe physiological and biochemical abnormalities seen in individuals reporting PASC. We describe the several evidence-based interventions to offer patients. It is expected that this growing understanding of the mechanisms driving PASC and the benefits seen with certain therapeutics may not only lead to better outcomes for those with PASC but may also have the potential for understanding and treating other postinfectious sequelae.
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Affiliation(s)
- Daniel O Griffin
- Division of Infectious Diseases, Department of Medicine, Columbia University, College of Physicians and Surgeons, New York, New York, USA
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17
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Jones RM, Andrews JG, Dalton AF, Dixon BE, Dzomba BJ, Fernando SI, Pogreba-Brown KM, Ortiz MR, Sharma V, Simmons N, Saydah SH. Tracking the burden, distribution, and impact of Post-COVID conditions in diverse populations for children, adolescents, and adults (Track PCC): passive and active surveillance protocols. BMC Public Health 2024; 24:2345. [PMID: 39210333 PMCID: PMC11360551 DOI: 10.1186/s12889-024-19772-4] [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: 01/26/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Track PCC includes five geographic surveillance sites to conduct standardized population-based surveillance to estimate and track Post-COVID Conditions (PCC) by age, sex, race/ethnicity, geographic area, severity of initial infection, and risk factors among persons with evidence of SARS-CoV-2 infection (based on the Council of State and Territorial Epidemiologist [CSTE] case definitions for confirmed cases or laboratory-confirmed evidence of infection). METHODS The study will estimate the incidence, prevalence, including temporal trends, and duration and severity of PCC symptoms, among children, adolescents, and adults. PCCs include a broad range of symptoms and conditions that continue or develop after acute SARS-CoV-2 infection or COVID-19 illness. Surveillance includes both passive and active components for diverse populations in Arizona, Indiana, and Utah as well as the Bronx Borough, NY, and part of Philadelphia County, PA. Passive surveillance will utilize electronic health records and health information exchanges within each site catchment area to longitudinally follow persons with COVID-19 to estimate PCC occurring at least 30 days after acute COVID-19 illness. Active surveillance will utilize self-report of PCCs from detailed surveys of persons ages 7 years and older with evidence of SARS-CoV-2 infection in the past 3 months. Respondents will complete follow-up surveys at 6-, 12- and 18-months post-infection. DISCUSSION These data can help identify which groups are most affected by PCC, and what health differences among demographic groups exist, as well as indicate potential barriers to care. These additional levels of granularity can inform public health action and help direct needed clinical care for patients.
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Affiliation(s)
- Resa M Jones
- Department of Epidemiology and Biostatistics, College of Public Health, Temple University, 1301 Cecil B. Moore Ave., Ritter Annex, 9th Floor, Rm 917, Philadelphia, PA, 19122, USA.
- Fox Chase Cancer Center, Temple University Health, Philadelphia, PA, USA.
| | | | | | - Brian E Dixon
- Department of Health Policy & Management, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
- Department of Veterans Affairs, Center for Health Information and Communication, Health Services Research & Development Service, Indianapolis, IN, USA
| | - Bari J Dzomba
- Department of Health Services Administration and Policy, College of Public Health, Temple University, Philadelphia, PA, USA
| | - Shane I Fernando
- Abt Global, Rockville, MD, USA
- Department of Pediatrics and Women's Health, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Kristen M Pogreba-Brown
- Department of Epidemiology and Biostatistics, Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Miguel Reina Ortiz
- Department of Community and Global Health, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | - Vinita Sharma
- Department of Community and Global Health, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | | | - Sharon H Saydah
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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18
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Finamore P, Arena E, Lupoi D, Savito L, Di Nunzio F, Furbatto M, Dragonieri S, Antonelli Incalzi R, Scarlata S. Long COVID Syndrome: A Narrative Review on Burden of Age and Vaccination. J Clin Med 2024; 13:4756. [PMID: 39200898 PMCID: PMC11355827 DOI: 10.3390/jcm13164756] [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: 05/29/2024] [Revised: 07/30/2024] [Accepted: 08/06/2024] [Indexed: 09/02/2024] Open
Abstract
Background/Objective: The COVID-19 pandemic has led to the emergence of post-acute COVID-19 syndrome, also known as long COVID, which presents a significant challenge due to its varied symptoms and unpredictable course, particularly in older adults. Similar to COVID-19 infections, factors such as age, pre-existing health conditions, and vaccination status may influence the occurrence and severity of long COVID. The objective is to analyze the role of aging in the context of long COVID and to investigate prevalence rates and vaccination efficacy to improve prevention strategies and treatment in this age group. Methods: Four researchers independently conducted a literature search of the PubMed database to trace studies published between July 2020 and July 2024. Results: Aging influences both the likelihood of developing long COVID and the recovery process, due to age-related physiological changes, immune system alterations, and the presence of comorbidities. Vaccination plays a key role in reducing the risk of long COVID by attenuating the inflammatory responses associated with its symptoms. Conclusions: Despite the protection vaccines offer against severe infection, hospitalization, and post-infection sequelae, vaccine hesitancy remains a major obstacle, worsening the impact of long COVID. Promising treatments for this condition include antivirals although further research is needed.
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Affiliation(s)
- Panaiotis Finamore
- Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, 00128 Rome, Italy; (P.F.); (E.A.); (D.L.); (L.S.); (F.D.N.); (M.F.)
- Research Unit of Internal Medicine, Università Campus Bio-Medico, 00128 Rome, Italy
| | - Elena Arena
- Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, 00128 Rome, Italy; (P.F.); (E.A.); (D.L.); (L.S.); (F.D.N.); (M.F.)
- Research Unit of Internal Medicine, Università Campus Bio-Medico, 00128 Rome, Italy
| | - Domenica Lupoi
- Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, 00128 Rome, Italy; (P.F.); (E.A.); (D.L.); (L.S.); (F.D.N.); (M.F.)
- Research Unit of Internal Medicine, Università Campus Bio-Medico, 00128 Rome, Italy
| | - Luisa Savito
- Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, 00128 Rome, Italy; (P.F.); (E.A.); (D.L.); (L.S.); (F.D.N.); (M.F.)
- Research Unit of Internal Medicine, Università Campus Bio-Medico, 00128 Rome, Italy
| | - Francesca Di Nunzio
- Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, 00128 Rome, Italy; (P.F.); (E.A.); (D.L.); (L.S.); (F.D.N.); (M.F.)
- Research Unit of Internal Medicine, Università Campus Bio-Medico, 00128 Rome, Italy
| | - Michela Furbatto
- Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, 00128 Rome, Italy; (P.F.); (E.A.); (D.L.); (L.S.); (F.D.N.); (M.F.)
- Research Unit of Internal Medicine, Università Campus Bio-Medico, 00128 Rome, Italy
| | - Silvano Dragonieri
- Department of Respiratory Diseases, University of Bari, 70124 Bari, Italy;
| | - Raffaele Antonelli Incalzi
- Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, 00128 Rome, Italy; (P.F.); (E.A.); (D.L.); (L.S.); (F.D.N.); (M.F.)
- Research Unit of Internal Medicine, Università Campus Bio-Medico, 00128 Rome, Italy
| | - Simone Scarlata
- Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, 00128 Rome, Italy; (P.F.); (E.A.); (D.L.); (L.S.); (F.D.N.); (M.F.)
- Research Unit of Internal Medicine, Università Campus Bio-Medico, 00128 Rome, Italy
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19
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Uswatte G, Taub E, Ball K, Mitchell BS, Blake JA, McKay S, Biney F, Iosipchuk O, Hempfling P, Harris E, Dickerson A, Lokken K, Knight AJ, Mark VW, Agnihotri S, Cutter G. Long COVID Brain Fog Treatment: Findings from a Pilot Randomized Controlled Trial of Constraint-Induced Cognitive Therapy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.04.24309908. [PMID: 39040197 PMCID: PMC11261935 DOI: 10.1101/2024.07.04.24309908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Purpose Long COVID brain fog is often disabling. Yet, no empirically-supported treatments exist. This study's objectives were to evaluate feasibility and efficacy, provisionally, of a new rehabilitation approach, Constraint-Induced Cognitive Therapy (CICT), for post-COVID-19 cognitive sequelae. Design Sixteen community-residents ≥ 3-months post-COVID-19 infection with mild cognitive impairment and dysfunction in instrumental activities of daily living (IADL) were enrolled. Participants were randomized to Immediate-CICT or treatment-as-usual (TAU) with crossover to CICT. CICT combined behavior change techniques modified from Constraint-Induced Movement Therapy with Speed of Processing Training, a computerized cognitive-training program. CICT was deemed feasible if (a) ≥80% of participants completed treatment, (b) the same found treatment highly satisfying and at most moderately difficult, and (c) <2 study-related, serious adverse-events occurred. The primary outcome was IADL performance in daily life (Canadian Occupational Performance Measure). Employment status and brain fog (Mental Clutter Scale) were also assessed. Results Fourteen completed Immediate-CICT (n=7) or TAU (n=7); two withdrew from TAU before their second testing session. Completers were [M (SD)]: 10 (7) months post-COVID; 51 (13) years old; 10 females, 4 males; 1 African American, 13 European American. All the feasibility benchmarks were met. Immediate-CICT, relative to TAU, produced very large improvements in IADL performance (M=3.7 points, p<.001, d=2.6) and brain fog (M=-4 points, p<.001, d=-2.9). Four of five non-retired Immediate-CICT participants returned-to-work post-treatment; no TAU participants did, p=.048. Conclusions CICT has promise for reducing brain fog, improving IADL, and promoting returning-to-work in adults with Long COVID. Findings warrant a large-scale RCT with an active-comparison group.
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Affiliation(s)
- Gitendra Uswatte
- Department of Psychology, University of Alabama at Birmingham
- Department of Physical Therapy, University of Alabama at Birmingham
| | - Edward Taub
- Department of Psychology, University of Alabama at Birmingham
| | - Karlene Ball
- Department of Psychology, University of Alabama at Birmingham
- Department of Ophthalmology, University of Alabama at Birmingham
- Department of Psychiatry, University of Alabama at Birmingham
| | - Brandon S. Mitchell
- Department of Psychology, University of Alabama at Birmingham
- Department of Neurology, University of Alabama at Birmingham
| | - Jason A. Blake
- Department of Psychology, University of Alabama at Birmingham
| | - Staci McKay
- Department of Psychology, University of Alabama at Birmingham
| | - Fedora Biney
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham
| | | | - Piper Hempfling
- Department of Psychology, University of Alabama at Birmingham
| | - Elise Harris
- Department of Psychology, University of Alabama at Birmingham
| | | | - Kristine Lokken
- Department of Biostatistics, University of Alabama at Birmingham
| | - Amy J. Knight
- Department of Neurology, University of Alabama at Birmingham
| | - Victor W. Mark
- Department of Psychology, University of Alabama at Birmingham
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham
- Department of Neurology, University of Alabama at Birmingham
| | | | - Gary Cutter
- Department of Occupational Therapy, East Carolina University
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20
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Xie Y, Choi T, Al-Aly Z. Postacute Sequelae of SARS-CoV-2 Infection in the Pre-Delta, Delta, and Omicron Eras. N Engl J Med 2024; 391:515-525. [PMID: 39018527 DOI: 10.1056/nejmoa2403211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/19/2024]
Abstract
BACKGROUND Postacute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (PASC) can affect many organ systems. However, temporal changes during the coronavirus disease 2019 (Covid-19) pandemic, including the evolution of SARS-CoV-2, may have affected the risk and burden of PASC. Whether the risk and burden of PASC have changed over the course of the pandemic is unclear. METHODS We used health records of the Department of Veterans Affairs to build a study population of 441,583 veterans with SARS-CoV-2 infection between March 1, 2020, and January 31, 2022, and 4,748,504 noninfected contemporaneous controls. We estimated the cumulative incidence of PASC at 1 year after SARS-CoV-2 infection during the pre-delta, delta, and omicron eras of the Covid-19 pandemic. RESULTS Among unvaccinated persons infected with SARS-CoV-2, the cumulative incidence of PASC during the first year after infection was 10.42 events per 100 persons (95% confidence interval [CI], 10.22 to 10.64) in the pre-delta era, 9.51 events per 100 persons (95% CI, 9.26 to 9.75) in the delta era, and 7.76 events per 100 persons (95% CI, 7.57 to 7.98) in the omicron era (difference between the omicron and pre-delta eras, -2.66 events per 100 persons [95% CI, -2.93 to -2.36]; difference between the omicron and delta eras, -1.75 events per 100 persons [95% CI, -2.08 to -1.42]). Among vaccinated persons, the cumulative incidence of PASC at 1 year was 5.34 events per 100 persons (95% CI, 5.10 to 5.58) during the delta era and 3.50 events per 100 persons (95% CI, 3.31 to 3.71) during the omicron era (difference between the omicron and delta eras, -1.83 events per 100 persons; 95% CI, -2.14 to -1.52). Vaccinated persons had a lower cumulative incidence of PASC at 1 year than unvaccinated persons (difference during the delta era, -4.18 events per 100 persons [95% CI, -4.47 to -3.88]; difference during the omicron era, -4.26 events per 100 persons [95% CI, -4.49 to -4.05]). Decomposition analyses showed 5.23 (95% CI, 4.97 to 5.47) fewer PASC events per 100 persons at 1 year during the omicron era than during the pre-delta and delta eras combined; 28.11% of the decrease (95% CI, 25.57 to 30.50) was attributable to era-related effects (changes in the virus and other temporal effects), and 71.89% (95% CI, 69.50 to 74.43) was attributable to vaccines. CONCLUSIONS The cumulative incidence of PASC during the first year after SARS-CoV-2 infection decreased over the course of the pandemic, but the risk of PASC remained substantial even among vaccinated persons who had SARS-CoV-2 infection in the omicron era. (Supported by the Department of Veterans Affairs.).
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Affiliation(s)
- Yan Xie
- From the Division of Pharmacoepidemiology (Y.X.), Clinical Epidemiology Center, Research and Development Service (Y.X., T.C., Z.A.-A.), and the Nephrology Section, Medicine Service (Z.A.-A.), Veterans Affairs St. Louis Health Care System, the Veterans Research and Education Foundation of St. Louis (Y.X., T.C., Z.A.-A.), the Department of Medicine, Washington University School of Medicine (Z.A.-A.), and the Institute for Public Health, Washington University in St. Louis (Z.A.-A.) - all in St. Louis
| | - Taeyoung Choi
- From the Division of Pharmacoepidemiology (Y.X.), Clinical Epidemiology Center, Research and Development Service (Y.X., T.C., Z.A.-A.), and the Nephrology Section, Medicine Service (Z.A.-A.), Veterans Affairs St. Louis Health Care System, the Veterans Research and Education Foundation of St. Louis (Y.X., T.C., Z.A.-A.), the Department of Medicine, Washington University School of Medicine (Z.A.-A.), and the Institute for Public Health, Washington University in St. Louis (Z.A.-A.) - all in St. Louis
| | - Ziyad Al-Aly
- From the Division of Pharmacoepidemiology (Y.X.), Clinical Epidemiology Center, Research and Development Service (Y.X., T.C., Z.A.-A.), and the Nephrology Section, Medicine Service (Z.A.-A.), Veterans Affairs St. Louis Health Care System, the Veterans Research and Education Foundation of St. Louis (Y.X., T.C., Z.A.-A.), the Department of Medicine, Washington University School of Medicine (Z.A.-A.), and the Institute for Public Health, Washington University in St. Louis (Z.A.-A.) - all in St. Louis
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21
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Datta BK, Phillips S. Long COVID and the Higher Risk of Food Insecurity Among Participants and Nonparticipants of Food Assistance Programs in the United States. J Acad Nutr Diet 2024:S2212-2672(24)00731-7. [PMID: 39111695 DOI: 10.1016/j.jand.2024.07.171] [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: 11/14/2023] [Revised: 07/28/2024] [Accepted: 07/31/2024] [Indexed: 08/30/2024]
Abstract
BACKGROUND In the aftermath of the COVID-19 public health emergency, it is important to understand the extent of socioeconomic burdens of long COVID, defined as continuation of symptoms after initial infection, including food insecurity. OBJECTIVE This study aimed to assess the association between long COVID and family food insecurity among low-income individuals (or any of their family members living with them) who were participants and nonparticipants in public food assistance programs (Supplemental Nutrition Assistance Program [SNAP], Special Supplemental Nutrition Program for Women, Infants, and Children [WIC], and National School Lunch Program [NSLP]) in the United States. DESIGN The study used an observational cross-sectional design. PARTICIPANTS/SETTING Data on 7151 adults (aged 18+ years), with family income of < 200% of the Federal Poverty line, from the 2022 National Health Interview Survey, were analyzed. MAIN OUTCOME MEASURES Level of family food security, based on responses to a set of 10 questions measuring family's food security during the past 30 days. STATISTICAL ANALYSES PERFORMED Multinomial logistic regression models were estimated to obtain relative risk ratios of marginal and low/very low food security, relative to the base outcome of high food security, for long COVID status. Multivariable models were estimated separately for the full sample and for subgroups of food assistance participants and nonparticipants. A seemingly unrelated regression (SUR) specification was estimated to assess whether the estimates were different across the participant and nonparticipant subgroups. RESULTS Compared with individuals who never had COVID-19, the adjusted relative risks of experiencing marginal and low/very low food security were 1.42 (95% CI, 1.00-2.02) and 1.43 (95% CI, 1.08-1.91) times higher, respectively, for individuals who had long COVID. Although the adjusted risks were not observed to be statistically significant in the participant subgroup, among nonparticipants, adjusted relative risk ratios were 2.34 (95% CI, 1.43-3.82) and 1.56 (95% CI, 1.02-2.39), respectively. SUR results showed that relationships between long COVID and food insecurity were only different for marginal and not low/very low levels of food security between food assistance participant and nonparticipant groups. CONCLUSIONS Study findings highlight a significantly higher risk of marginal and low/very low- food security among low-income adults who had long COVID, especially those who were nonparticipants in public food assistance programs. Further research is warranted to explore the causal pathways of this relationship for informing policies to mitigate the burden of long COVID.
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Affiliation(s)
- Biplab Kumar Datta
- Institute of Public and Preventive Health, Augusta University, Augusta, Georgia; Department of Health Management, Economics and Policy, School of Public Health, Augusta University, Augusta, Georgia.
| | - Serena Phillips
- Department of Economics, College of Arts and Sciences, University of Missouri, Columbia, Missouri
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22
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Zhang X, Anzalone AJ, Dai D, Cochran G, Dai R, Rupp ME. Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study. Open Forum Infect Dis 2024; 11:ofae424. [PMID: 39183811 PMCID: PMC11342242 DOI: 10.1093/ofid/ofae424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 07/25/2024] [Indexed: 08/27/2024] Open
Abstract
Background Patients with coronavirus disease 2019 (COVID-19) often experience persistent symptoms, known as postacute sequelae of COVID-19 or long COVID, after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Chronic lung disease (CLD) has been identified in small-scale studies as a potential risk factor for long COVID. Methods This large-scale retrospective cohort study using the National COVID Cohort Collaborative data evaluated the link between CLD and long COVID over 6 months after acute SARS-CoV-2 infection. We included adults (aged ≥18 years) who tested positive for SARS-CoV-2 during any of 3 SARS-CoV-2 variant periods and used logistic regression to determine the association, considering a comprehensive list of potential confounding factors, including demographics, comorbidities, socioeconomic conditions, geographical influences, and medication. Results Of 1 206 021 patients, 1.2% were diagnosed with long COVID. A significant association was found between preexisting CLD and long COVID (adjusted odds ratio [aOR], 1.36). Preexisting obesity and depression were also associated with increased long COVID risk (aOR, 1.32 for obesity and 1.29 for depression) as well as demographic factors including female sex (aOR, 1.09) and older age (aOR, 1.79 for age group 40-65 [vs 18-39] years and 1.56 for >65 [vs 18-39] years). Conclusions CLD is associated with higher odds of developing long COVID within 6 months after acute SARS-CoV-2 infection. These data have implications for identifying high-risk patients and developing interventions for long COVID in patients with CLD.
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Affiliation(s)
- Xiaotong Zhang
- Department of Pharmacy, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA
- College of Pharmacy, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Alfred Jerrod Anzalone
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Daisy Dai
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Gary Cochran
- College of Pharmacy, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Ran Dai
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Mark E Rupp
- Division of Infectious Diseases, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
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23
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Datta G, Rezagholizadeh N, Hasler WA, Khan N, Chen X. SLC38A9 regulates SARS-CoV-2 viral entry. iScience 2024; 27:110387. [PMID: 39071889 PMCID: PMC11277692 DOI: 10.1016/j.isci.2024.110387] [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: 03/04/2024] [Revised: 05/13/2024] [Accepted: 06/24/2024] [Indexed: 07/30/2024] Open
Abstract
SARS-CoV-2 viral entry into host cells depends on the cleavage of spike (S) protein into S1 and S2 proteins. Such proteolytic cleavage by furin results in the exposure of a multibasic motif on S1, which is critical for SARS-CoV-2 viral infection and transmission; however, how such a multibasic motif contributes to the infection of SARS-CoV-2 remains elusive. Here, we demonstrate that the multibasic motif on S1 is critical for its interaction with SLC38A9, an endolysosome-resident arginine sensor. SLC38A9 knockdown prevents S1-induced endolysosome de-acidification and blocks the S protein-mediated entry of pseudo-SARS-CoV-2 in Calu-3, U87MG, Caco-2, and A549 cells. Our findings provide a novel mechanism in regulating SARS-CoV-2 viral entry; S1 present in endolysosome lumen could interact with SLC38A9, which mediates S1-induced endolysosome de-acidification and dysfunction, facilitating the escape of SARS-CoV-2 from endolysosomes and enhancing viral entry.
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Affiliation(s)
- Gaurav Datta
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58203, USA
| | - Neda Rezagholizadeh
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58203, USA
| | - Wendie A. Hasler
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58203, USA
| | - Nabab Khan
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58203, USA
| | - Xuesong Chen
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58203, USA
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24
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Herbert C, Antar AA, Broach J, Wright C, Stamegna P, Luzuriaga K, Hafer N, McManus DD, Manabe YC, Soni A. Relationship between acute SARS-CoV-2 viral clearance with Long COVID Symptoms: a cohort study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.04.24309953. [PMID: 39006428 PMCID: PMC11245049 DOI: 10.1101/2024.07.04.24309953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Introduction The relationship between SARS-CoV-2 viral dynamics during acute infection and the development of long COVID is largely unknown. Methods A total of 7361 asymptomatic community-dwelling people enrolled in the Test Us at Home parent study between October 2021 and February 2022. Participants self-collected anterior nasal swabs for SARS-CoV-2 RT-PCR testing every 24-48 hours for 10-14 days, regardless of symptom or infection status. Participants who had no history of COVID-19 at enrollment and who were subsequently found to have ≥1 positive SARS-CoV-2 RT-PCR test during the parent study were recontacted in August 2023 and asked whether they had experienced long COVID, defined as the development of new symptoms lasting 3 months or longer following SARS-CoV-2 infection. Participant's cycle threshold values were converted into viral loads, and slopes of viral clearance were modeled using post-nadir viral loads. Using a log binomial model with the modeled slopes as the exposure, we calculated the relative risk of subsequently developing long COVID with 1-2 symptoms, 3-4 symptoms, or 5+ symptoms, adjusting for age, number of symptoms, and SARS-CoV-2 variant. Adjusted relative risk (aRR) of individual long COVID symptoms based on viral clearance was also calculated. Results 172 participants were eligible for analyses, and 59 (34.3%) reported experiencing long COVID. The risk of long COVID with 3-4 symptoms and 5+ symptoms increased by 2.44 times (aRR: 2.44; 95% CI: 0.88-6.82) and 4.97 times (aRR: 4.97; 95% CI: 1.90-13.0) per viral load slope-unit increase, respectively. Participants who developed long COVID had significantly longer times from peak viral load to viral clearance during acute disease than those who never developed long COVID (8.65 [95% CI: 8.28-9.01] vs. 10.0 [95% CI: 9.25-10.8]). The slope of viral clearance was significantly positively associated with long COVID symptoms of fatigue (aRR: 2.86; 95% CI: 1.22-6.69), brain fog (aRR: 4.94; 95% CI: 2.21-11.0), shortness of breath (aRR: 5.05; 95% CI: 1.24-20.6), and gastrointestinal symptoms (aRR: 5.46; 95% CI: 1.54-19.3). Discussion We observed that longer time from peak viral load to viral RNA clearance during acute COVID-19 was associated with an increased risk of developing long COVID. Further, slower clearance rates were associated with greater number of symptoms of long COVID. These findings suggest that early viral-host dynamics are mechanistically important in the subsequent development of long COVID.
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Affiliation(s)
- Carly Herbert
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Annukka A.R. Antar
- Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John Broach
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Colton Wright
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Pamela Stamegna
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Katherine Luzuriaga
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Nathaniel Hafer
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - David D McManus
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Cardiology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Yukari C Manabe
- Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Apurv Soni
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
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25
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Unger ER, Lin JMS, Wisk LE, Yu H, L’Hommedieu M, Lavretsky H, Montoy JCC, Gottlieb MA, Rising KL, Gentile NL, Santangelo M, Venkatesh AK, Rodriguez RM, Hill MJ, Geyer RE, Kean ER, Saydah S, McDonald SA, Huebinger R, Idris AH, Dorney J, Hota B, Spatz ES, Stephens KA, Weinstein RA, Elmore JG. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome After SARS-CoV-2 Infection. JAMA Netw Open 2024; 7:e2423555. [PMID: 39046739 PMCID: PMC11270135 DOI: 10.1001/jamanetworkopen.2024.23555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/15/2024] [Indexed: 07/25/2024] Open
Abstract
Importance Chronic symptoms reported following an infection with SARS-CoV-2, such as cognitive problems, overlap with symptoms included in the definition of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Objective To evaluate the prevalence of ME/CFS-like illness subsequent to acute SARS-CoV-2 infection, changes in ME/CFS symptoms through 12 months of follow-up, and the association of ME/CFS symptoms with SARS-CoV-2 test results at the acute infection-like index illness. Design, Setting, and Participants This prospective, multisite, longitudinal cohort study (Innovative Support for Patients with SARS-CoV-2 Infections Registry [INSPIRE]) enrolled participants from December 11, 2020, to August 29, 2022. Participants were adults aged 18 to 64 years with acute symptoms suggestive of SARS-CoV-2 infection who received a US Food and Drug Administration-approved SARS-CoV-2 test at the time of illness and did not die or withdraw from the study by 3 months. Follow-up surveys were collected through February 28, 2023. Exposure COVID-19 status (positive vs negative) at enrollment. Main Outcome and Measures The main outcome was the weighted proportion of participants with ME/CFS-like illness based on the 2015 Institute of Medicine clinical case definition using self-reported symptoms. Results A total of 4378 participants were included in the study. Most were female (3226 [68.1%]). Mean (SD) age was 37.8 (11.8) years. The survey completion rates ranged from 38.7% (3613 of 4738 participants) to 76.3% (1835 of 4738) and decreased over time. The weighted proportion of participants identified with ME/CFS-like illness did not change significantly at 3 through 12 months of follow-up and was similar in the COVID-19-positive (range, 2.8%-3.7%) and COVID-19-negative (range, 3.1%-4.5%) groups. Adjusted analyses revealed no significant difference in the odds of ME/CFS-like illness at any time point between COVID-19-positive and COVID-19-negative individuals (marginal odds ratio range, 0.84 [95% CI, 0.42-1.67] to 1.18 [95% CI, 0.55-2.51]). Conclusions and Relevance In this prospective cohort study, there was no evidence that the proportion of participants with ME/CFS-like illness differed between those infected with SARS-CoV-2 vs those without SARS-CoV-2 infection up to 12 months after infection. A 3% to 4% prevalence of ME/CFS-like illness after an acute infection-like index illness would impose a high societal burden given the millions of persons infected with SARS-CoV-2.
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Affiliation(s)
- Elizabeth R. Unger
- Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jin-Mann S. Lin
- Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lauren E. Wisk
- Division of General Internal Medicine & Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles
| | - Huihui Yu
- Center for Outcomes Research & Evaluation (CORE), Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Michelle L’Hommedieu
- Division of General Internal Medicine & Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles
| | - Helen Lavretsky
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at the University of California, Los Angeles
| | | | - Michael A. Gottlieb
- Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois
| | - Kristin L. Rising
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
- Jefferson Center for Connected Care, Sidney Kimmel Medical School, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Nicole L. Gentile
- Post-COVID Rehabilitation and Recovery Clinic, University of Washington, Seattle
- Department of Family Medicine, University of Washington, Seattle
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle
| | - Michelle Santangelo
- Division of Infectious Diseases, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois
| | - Arjun K. Venkatesh
- Center for Outcomes Research & Evaluation (CORE), Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut
| | | | - Mandy J. Hill
- Department of Emergency Medicine, UTHealth Houston, Houston, Texas
| | - Rachel E. Geyer
- Department of Family Medicine, University of Washington, Seattle
| | - Efrat R. Kean
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Sharon Saydah
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Samuel A. McDonald
- Department of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas
- Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas
| | - Ryan Huebinger
- Department of Emergency Medicine, UTHealth Houston, Houston, Texas
| | - Ahamed H. Idris
- Department of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas
| | - Jocelyn Dorney
- Center for Outcomes Research & Evaluation (CORE), Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Bala Hota
- Tendo Systems, Inc, Philadelphia, Pennsylvania
| | - Erica S. Spatz
- Center for Outcomes Research & Evaluation (CORE), Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Kari A. Stephens
- Department of Family Medicine, University of Washington, Seattle
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle
| | - Robert A. Weinstein
- Division of Infectious Diseases, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois
- Division of Infectious Diseases, Department of Medicine, Cook County Hospital, Chicago, Illinois
| | - Joann G. Elmore
- Division of General Internal Medicine & Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles
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26
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Zhang Y, Ba DM, Risher K, Liao D, Parent LJ, Ghahramani N, Chinchilli VM. Effects of ACE inhibitor/ARB therapy and long COVID on kidney disease: a retrospective cohort study using real-world data. Clin Kidney J 2024; 17:sfae164. [PMID: 39056070 PMCID: PMC11270017 DOI: 10.1093/ckj/sfae164] [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] [Received: 02/26/2024] [Indexed: 07/28/2024] Open
Abstract
Background The association between angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) and severe acute respiratory syndrome coronavirus 2 susceptibility, particularly via ACE-2 receptor upregulation in the kidneys, raises concerns about potential kidney disease risks in long coronavirus disease (COVID) patients. This study explores the association of ACEI/ARB therapy on acute kidney injury (AKI), chronic kidney disease (CKD) and all-cause mortality in patients with and without long COVID. Methods A retrospective cohort study using TriNetX datasets was conducted, with diagnoses of long COVID via International Classification of Diseases, Tenth Revision (ICD-10) codes and prescription for ACEI/ARB as the classification of four cohorts: long COVID ACEI/ARB users (LCAUs), long COVID ACEI/ARB non-users (LCANs), non-long COVID ACEI/ARB users (NLCAUs) and non-long COVID ACEI/ARB non-users (NLCANs). Multivariable stratified Cox proportional hazards regression models assessed the adjusted hazard ratios (aHRs) across groups. Additional analyses were conducted, including time-dependent exposure analysis and comparison with an active comparator, calcium channel blockers. Results Our study included 18 168 long COVID and 181 680 propensity score-matched non-long COVID patients from October 2021 to October 2023. ACEI/ARB use did not significantly affect the risk of AKI or CKD when comparing LCAUs with LCANs and NLCAUs with NLCANs. However, a protective effect against all-cause mortality was observed {aHR 0.79 [95% confidence interval (CI) 0.65-0.93]} in the NLCAU group compared with the NLCAN group. Conversely, long COVID was associated with increased risks of CKD [aHR 1.49 (95% CI 1.03-2.14)] and all-cause mortality [aHR 1.49 (95% CI 1.00-2.23)] when comparing LCANs with NLCANs. The additional analyses support the primary findings. Conclusions ACEI/ARB treatment does not increase the incidence of CKD or AKI, regardless of long COVID status. However, long COVID itself is associated with increasing risks of kidney diseases and all-cause mortality.
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Affiliation(s)
- Yue Zhang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Djibril M Ba
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Kathryn Risher
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Duanping Liao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Leslie J Parent
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
- Department of Medicine, Penn State College of Medicine, Hershey, PA, USA
| | - Nasrollah Ghahramani
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
- Department of Medicine, Penn State College of Medicine, Hershey, PA, USA
| | - Vernon M Chinchilli
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
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27
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Donald J, Bilasy SE, Yang C, El-Shamy A. Exploring the Complexities of Long COVID. Viruses 2024; 16:1060. [PMID: 39066223 PMCID: PMC11281588 DOI: 10.3390/v16071060] [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: 06/03/2024] [Revised: 06/24/2024] [Accepted: 06/27/2024] [Indexed: 07/28/2024] Open
Abstract
Since the emergence of the SARS-CoV-2 virus in 2019, nearly 700 million COVID-19 cases and 7 million deaths have been reported globally. Despite most individuals recovering within four weeks, the Center for Disease Control (CDC) estimates that 7.5% to 41% develop post-acute infection syndrome (PAIS), known as 'Long COVID'. This review provides current statistics on Long COVID's prevalence, explores hypotheses concerning epidemiological factors, such as age, gender, comorbidities, initial COVID-19 severity, and vaccine interactions, and delves into potential mechanisms, including immune responses, viral persistence, and gut dysbiosis. Moreover, we conclude that women, advanced age, comorbidities, non-vaccination, and low socioeconomic status all appear to be risk factors. The reasons for these differences are still not fully understood and likely involve a complex relationship between social, genetic, hormonal, and other factors. Furthermore, individuals with Long COVID-19 seem more likely to endure economic hardship due to persistent symptoms. In summary, our findings further illustrate the multifaceted nature of Long COVID and underscore the importance of understanding the epidemiological factors and potential mechanisms needed to develop effective therapeutic strategies and interventions.
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Affiliation(s)
- Jackson Donald
- College of Graduate Studies, California Northstate University, 9700 West Taron Drive, Elk Grove, CA 95757, USA; (J.D.); (C.Y.)
| | - Shymaa E. Bilasy
- College of Dental Medicine, California Northstate University, 9700 West Taron Drive, Elk Grove, CA 95757, USA;
| | - Catherine Yang
- College of Graduate Studies, California Northstate University, 9700 West Taron Drive, Elk Grove, CA 95757, USA; (J.D.); (C.Y.)
| | - Ahmed El-Shamy
- College of Graduate Studies, California Northstate University, 9700 West Taron Drive, Elk Grove, CA 95757, USA; (J.D.); (C.Y.)
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28
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Romeiser JL, Schoeneck K. COVID-19 Booster Vaccination Status and Long COVID in the United States: A Nationally Representative Cross-Sectional Study. Vaccines (Basel) 2024; 12:688. [PMID: 38932418 PMCID: PMC11209278 DOI: 10.3390/vaccines12060688] [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: 05/14/2024] [Revised: 06/12/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024] Open
Abstract
Early studies have found that the initial COVID-19 vaccination series was protective against severe symptoms and long COVID. However, few studies have explored the association of booster doses on severe disease outcomes and long COVID. This cross-sectional analysis used data from the 2022 US National Health Interview Survey data to investigate how vaccination status correlates with COVID-19 infection severity and long COVID among previously infected individuals. Participants were categorized into three groups: those who had received at least one booster, those with only the initial complete vaccination series, and those with either an incomplete series or no vaccinations. Out of 9521 survey respondents who reported a past positive COVID-19 test, 51.2% experienced moderate/severe infections, and 17.6% experienced long COVID. Multivariable regression models revealed that receiving at least one booster shot was associated with lower odds of experiencing moderate/severe symptoms (aOR = 0.78, p < 0.001) compared to those unvaccinated or with an incomplete series. Additionally, having at least one booster reduced long COVID odds by 24% (aOR = 0.76, p = 0.003). Completing only the primary vaccine series did not significantly decrease the likelihood of severe illness or long COVID. These findings support the continued promotion of booster vaccinations to mitigate long COVID risks in vulnerable populations.
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Affiliation(s)
- Jamie L. Romeiser
- Department of Public Health and Preventive Medicine, Upstate Medical University, 766 Irving Ave., Syracuse, NY 13210, USA;
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29
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Santos Guedes de Sa K, Silva J, Bayarri-Olmos R, Brinda R, Alec Rath Constable R, Colom Diaz PA, Kwon DI, Rodrigues G, Wenxue L, Baker C, Bhattacharjee B, Wood J, Tabacof L, Liu Y, Putrino D, Horvath TL, Iwasaki A. A causal link between autoantibodies and neurological symptoms in long COVID. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.18.24309100. [PMID: 38947091 PMCID: PMC11213106 DOI: 10.1101/2024.06.18.24309100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Acute SARS-CoV-2 infection triggers the generation of diverse and functional autoantibodies (AABs), even after mild cases. Persistently elevated autoantibodies have been found in some individuals with long COVID (LC). Using a >21,000 human protein array, we identified diverse AAB targets in LC patients that correlated with their symptoms. Elevated AABs to proteins in the nervous system were found in LC patients with neurocognitive and neurological symptoms. Purified Immunoglobulin G (IgG) samples from these individuals reacted with human pons tissue and were cross-reactive with mouse sciatic nerves, spinal cord, and meninges. Antibody reactivity to sciatic nerves and meninges correlated with patient-reported headache and disorientation. Passive transfer of IgG from patients to mice led to increased sensitivity and pain, mirroring patient-reported symptoms. Similarly, mice injected with IgG showed loss of balance and coordination, reflecting donor-reported dizziness. Our findings suggest that targeting AABs could benefit some LC patients.
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Affiliation(s)
- Keyla Santos Guedes de Sa
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Julio Silva
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Rafael Bayarri-Olmos
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Ryan Brinda
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Robert Alec Rath Constable
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Patricia A. Colom Diaz
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Dong-il Kwon
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Gisele Rodrigues
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Li Wenxue
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Biology Institute, Yale University, West Haven, CT, USA
| | - Christopher Baker
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Bornali Bhattacharjee
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Jamie Wood
- Cohen Center for Recovery from Complex Chronic Illness, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura Tabacof
- Cohen Center for Recovery from Complex Chronic Illness, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yansheng Liu
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Biology Institute, Yale University, West Haven, CT, USA
| | - David Putrino
- Cohen Center for Recovery from Complex Chronic Illness, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tamas L. Horvath
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06520
| | - Akiko Iwasaki
- Department of Immunobiology, Yale School of Medicine, Center for Infection and Immunity, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
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Nguyen KH, Bao Y, Chen S, Bednarczyk RA, Vasudevan L, Corlin L. Prior COVID-19 Diagnosis, Severe Outcomes, and Long COVID among U.S. Adults, 2022. Vaccines (Basel) 2024; 12:669. [PMID: 38932398 PMCID: PMC11209607 DOI: 10.3390/vaccines12060669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/07/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
Given the increase in COVID-19 emergency department visits and hospitalizations during the winter of 2023-2024, identifying groups that have a high prevalence of COVID-19 cases, severity, and long-term symptoms can help increase efforts toward reducing disparities and prevent severe COVID-19 outcomes. Using data from the 2022 National Health Interview Survey (n = 27,651), we assessed the prevalence of COVID-19 outcomes (prior diagnosis, moderate/severe COVID-19, and long COVID) by sociodemographic characteristics and factors associated with each COVID-19 outcome. Approximately one third of adults reported a prior COVID-19 diagnosis (30.7%), while one half (51.6%) who had COVID-19 reported moderate or severe symptoms, and one fifth (19.7%) who had COVID-19 symptoms reported long COVID. The following were associated with higher odds of moderate/severe COVID-19 and long COVID: havinga high-risk condition (aOR = 1.20, OR = 1.52); having anxiety or depression (OR = 1.46, OR = 1.49); having a disability (OR = 1.41, OR = 1.60); and having a food insecurity (OR = 1.37, OR = 1.50) compared to a lack of these conditions. Having two or more COVID-19 vaccinations was associated with lower odds of a COVID-19 diagnosis (OR = 0.75), moderate/severe COVID-19 (OR = 0.86), and long COVID (OR = 0.82). Improving vaccination coverage and reducing disparities in COVID-19 outcomes could advance health equities and protect against future resurgence of disease.
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Affiliation(s)
- Kimberly H. Nguyen
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Yingjun Bao
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Siyu Chen
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Robert A. Bednarczyk
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
- Emory Vaccine Center, Emory University, Atlanta, GA 30317, USA
| | - Lavanya Vasudevan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Laura Corlin
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA 02155, USA
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Dietz TK, Brondstater KN. Long COVID management: a mini review of current recommendations and underutilized modalities. Front Med (Lausanne) 2024; 11:1430444. [PMID: 38947233 PMCID: PMC11211541 DOI: 10.3389/fmed.2024.1430444] [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: 05/09/2024] [Accepted: 06/04/2024] [Indexed: 07/02/2024] Open
Abstract
Long COVID is a condition that develops in a subset of patients after COVID-19 infection comprising of symptoms of varying severity encompassing multiple organ systems. Currently, long COVID is without consensus on a formal definition, identifiable biomarkers, and validated treatment. Long COVID is expected to be a long-term chronic condition for a subset of patients and is associated with suffering and incapacity. There is an urgent need for clear management guidelines for the primary care provider, who is essential in bridging the gap with more specialized care to improve quality of life and functionality in their patients living with long COVID. The purpose of this mini review is to provide primary care providers with the latest highlights from existing literature regarding the most common long COVID symptoms and current management recommendations. This review also highlights the underutilized interventions of stellate ganglion blocks and low-dose naltrexone, both with well-established safety profiles demonstrated to improve quality of life and functionality for patients suffering with some symptoms of long COVID, and encourages prompt referral to interventional pain management.
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Affiliation(s)
- Tiffany K. Dietz
- School of Health Professions, Shenandoah University, Winchester, VA, United States
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Laestadius LI, Guidry JPD, Wahl MM, Perrin PB, Carlyle KE, Dong X, Gharbo R, Campos-Castillo C. "The dream is that there's one place you go": a qualitative study of women's experiences seeking care from Long COVID clinics in the USA. BMC Med 2024; 22:243. [PMID: 38867247 PMCID: PMC11170900 DOI: 10.1186/s12916-024-03465-1] [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: 02/24/2024] [Accepted: 06/05/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Seeking and obtaining effective health care for Long COVID remains a challenge in the USA. Women have particularly been impacted, as they are both at higher risk of developing Long COVID and of facing gendered barriers to having symptoms acknowledged. Long COVID clinics, which provide multidisciplinary and coordinated care, have emerged as a potential solution. To date, however, there has been little examination of U.S. patient experiences with Long COVID clinics and how patients may or may not have come to access care at a Long COVID clinic. METHODS We conducted semi-structured interviews with 30 U.S. women aged 18 or older who had experienced Long COVID symptoms for at least 3 months, who had not been hospitalized for acute COVID-19, and who had seen at least one medical provider about their symptoms. Participants were asked about experiences seeking medical care for Long COVID. Long COVID clinic-related responses were analyzed using qualitative framework analysis to identify key themes in experiences with Long COVID clinics. RESULTS Of the 30 women, 43.3% (n = 13) had been seen at a Long COVID clinic or by a provider affiliated with a Long COVID clinic and 30.0% (n = 9) had explored or attempted to see a Long COVID clinic but had not been seen at time of interview. Participants expressed five key themes concerning their experiences with seeking care from Long COVID clinics: (1) Access to clinics remains an issue, (2) Clinics are not a one stop shop, (3) Not all clinic providers have sufficient Long COVID knowledge, (4) Clinics can offer validation and care, and (5) Treatment options are critical and urgent. CONCLUSIONS While the potential for Long COVID clinics is significant, findings indicate that ongoing barriers to care and challenges related to quality and coordination of care hamper that potential and contribute to distress among women seeking Long COVID care. Since Long COVID clinics are uniquely positioned and framed as being the place to go to manage complex symptoms, it is critical to patient wellbeing that they be properly resourced to provide a level of care that complies with emerging best practices.
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Affiliation(s)
- Linnea I Laestadius
- Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
| | - Jeanine P D Guidry
- Department of Communication and Cognition, Tilburg University, Tilburg, The Netherlands
| | - Megan M Wahl
- Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Paul B Perrin
- School of Data Science and Department of Psychology, University of Virginia, Charlottesville, VA, USA
| | - Kellie E Carlyle
- School of Population Health, Virginia Commonwealth University, Richmond, VA, USA
| | - Xiaobei Dong
- Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Raouf Gharbo
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
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Hamlin RE, Blish CA. Challenges and opportunities in long COVID research. Immunity 2024; 57:1195-1214. [PMID: 38865966 PMCID: PMC11210969 DOI: 10.1016/j.immuni.2024.05.010] [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: 01/02/2024] [Revised: 04/19/2024] [Accepted: 05/10/2024] [Indexed: 06/14/2024]
Abstract
Long COVID (LC) is a condition in which patients do not fully recover from the initial SARS-CoV-2 infection but rather have persistent or new symptoms for months to years following the infection. Ongoing research efforts are investigating the pathophysiologic mechanisms of LC and exploring preventative and therapeutic treatment approaches for patients. As a burgeoning area of investigation, LC research can be structured to be more inclusive, innovative, and effective. In this perspective, we highlight opportunities for patient engagement and diverse research expertise, as well as the challenges of developing definitions and reproducible studies. Our intention is to provide a foundation for collaboration and progress in understanding the biomarkers and mechanisms driving LC.
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Affiliation(s)
| | - Catherine A Blish
- Department of Medicine, Stanford University, Stanford, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA.
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Barth S, Kulie P, Monroe A, Horberg M, Castel A. Prevalence and risk factors for post-COVID conditions of COVID-19 among persons with HIV in Washington, DC. AIDS Care 2024:1-11. [PMID: 38861652 DOI: 10.1080/09540121.2024.2357811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 05/07/2024] [Indexed: 06/13/2024]
Abstract
Post-COVID conditions (long COVID) are defined as COVID symptoms persisting 28 days post-initial infection. The limited research available on the prevalence and experiences of post-COVID conditions among persons with HIV (PWH) indicates potential increased risk for post-COVID conditions. The purpose of this study was to characterize prevalence, symptom clustering, impact, and potential risk factors of post-COVID conditions among PWH. Data come from the COVID-19 survey, conducted as a sub-study of the DC Cohort Longitudinal HIV Study, an ongoing study of over 12,000 PWH living in Washington, DC. Survey data were matched to electronic medical record data. Prevalence estimates and multivariable logistic regression analyses were calculated comparing those with and without post-COVID conditions. The prevalence of post-COVID conditions among PWH was 46% with no significant differences among demographic or HIV measures. Those with history of asthma were more likely to report post-COVID conditions symptoms. Among those with post-COVID conditions, 81% reported three or more initial COVID symptoms. Retired/disabled PWH were more likely to report post-COVID conditions compared to employed (aOR = 2.37, 95% CI = 1.06, 5.33). Post-COVID conditions significantly limited activities of daily living. Programs are needed to address the long-term impact of post-COVID conditions on activities of daily living among PWH.
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Affiliation(s)
- Shannon Barth
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Paige Kulie
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Anne Monroe
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Michael Horberg
- Mid-Atlantic Permanente Research Institute, Washington, DC, USA
| | - Amanda Castel
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
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Henderson AD, Butler-Cole BFC, Tazare J, Tomlinson LA, Marks M, Jit M, Briggs A, Lin LY, Carlile O, Bates C, Parry J, Bacon SCJ, Dillingham I, Dennison WA, Costello RE, Wei Y, Walker AJ, Hulme W, Goldacre B, Mehrkar A, MacKenna B, Herrett E, Eggo RM. Clinical coding of long COVID in primary care 2020-2023 in a cohort of 19 million adults: an OpenSAFELY analysis. EClinicalMedicine 2024; 72:102638. [PMID: 38800803 PMCID: PMC11127160 DOI: 10.1016/j.eclinm.2024.102638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 04/10/2024] [Accepted: 04/29/2024] [Indexed: 05/29/2024] Open
Abstract
Background Long COVID is the patient-coined term for the persistent symptoms of COVID-19 illness for weeks, months or years following the acute infection. There is a large burden of long COVID globally from self-reported data, but the epidemiology, causes and treatments remain poorly understood. Primary care is used to help identify and treat patients with long COVID and therefore Electronic Health Records (EHRs) of past COVID-19 patients could be used to help fill these knowledge gaps. We aimed to describe the incidence and differences in demographic and clinical characteristics in recorded long COVID in primary care records in England. Methods With the approval of NHS England we used routine clinical data from over 19 million adults in England linked to SARS-COV-2 test result, hospitalisation and vaccination data to describe trends in the recording of 16 clinical codes related to long COVID between November 2020 and January 2023. Using OpenSAFELY, we calculated rates per 100,000 person-years and plotted how these changed over time. We compared crude and adjusted (for age, sex, 9 NHS regions of England, and the dominant variant circulating) rates of recorded long COVID in patient records between different key demographic and vaccination characteristics using negative binomial models. Findings We identified a total of 55,465 people recorded to have long COVID over the study period, which included 20,025 diagnoses codes and 35,440 codes for further assessment. The incidence of new long COVID records increased steadily over 2021, and declined over 2022. The overall rate per 100,000 person-years was 177.5 cases in women (95% CI: 175.5-179) and 100.5 in men (99.5-102). The majority of those with a long COVID record did not have a recorded positive SARS-COV-2 test 12 or more weeks before the long COVID record. Interpretation In this descriptive study, EHR recorded long COVID was very low between 2020 and 2023, and incident records of long COVID declined over 2022. Using EHR diagnostic or referral codes unfortunately has major limitations in identifying and ascertaining true cases and timing of long COVID. Funding This research was supported by the National Institute for Health and Care Research (NIHR) (OpenPROMPT: COV-LT2-0073).
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Affiliation(s)
| | - Ben FC. Butler-Cole
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
| | - John Tazare
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Laurie A. Tomlinson
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Michael Marks
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Mark Jit
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Andrew Briggs
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Liang-Yu Lin
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Oliver Carlile
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Chris Bates
- TPP, TPP House, 129 Low Lane, Horsforth, Leeds LS18 5PX, UK
| | - John Parry
- TPP, TPP House, 129 Low Lane, Horsforth, Leeds LS18 5PX, UK
| | - Sebastian CJ. Bacon
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
| | - Iain Dillingham
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
| | | | - Ruth E. Costello
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Yinghui Wei
- Centre for Mathematical Sciences, School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth, UK
| | - Alex J. Walker
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
| | - William Hulme
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
| | - Ben Goldacre
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
| | - Amir Mehrkar
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
| | - Brian MacKenna
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
| | - Emily Herrett
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Rosalind M. Eggo
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
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Nham E, Noh JY, Park O, Choi WS, Song JY, Cheong HJ, Kim WJ. COVID-19 Vaccination Strategies in the Endemic Period: Lessons from Influenza. Vaccines (Basel) 2024; 12:514. [PMID: 38793765 PMCID: PMC11125835 DOI: 10.3390/vaccines12050514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/02/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19) is a highly contagious zoonotic respiratory disease with many similarities to influenza. Effective vaccines are available for both; however, rapid viral evolution and waning immunity make them virtually impossible to eradicate with vaccines. Thus, the practical goal of vaccination is to reduce the incidence of serious illnesses and death. Three years after the introduction of COVID-19 vaccines, the optimal vaccination strategy in the endemic period remains elusive, and health authorities worldwide have begun to adopt various approaches. Herein, we propose a COVID-19 vaccination strategy based on the data available until early 2024 and discuss aspects that require further clarification for better decision making. Drawing from comparisons between COVID-19 and influenza vaccination strategies, our proposed COVID-19 vaccination strategy prioritizes high-risk groups, emphasizes seasonal administration aligned with influenza vaccination campaigns, and advocates the co-administration with influenza vaccines to increase coverage.
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Affiliation(s)
- Eliel Nham
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Ji Yun Noh
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Ok Park
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Joon Young Song
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Hee Jin Cheong
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
| | - Woo Joo Kim
- Division of Infectious Diseases, Department of Medicine, College of Medicine, Korea University, Seoul 02841, Republic of Korea; (E.N.); (J.Y.N.); (O.P.); (W.S.C.); (J.Y.S.); (H.J.C.)
- Vaccine Innovation Center, Korea University, Seoul 02841, Republic of Korea
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Hua MJ, Butera G, Akinyemi O, Porterfield D. Biases and limitations in observational studies of Long COVID prevalence and risk factors: A rapid systematic umbrella review. PLoS One 2024; 19:e0302408. [PMID: 38696415 PMCID: PMC11065234 DOI: 10.1371/journal.pone.0302408] [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: 01/13/2024] [Accepted: 04/03/2024] [Indexed: 05/04/2024] Open
Abstract
BACKGROUND Observational studies form the foundation of Long COVID knowledge, however combining data from Long COVID observational studies has multiple methodological challenges. This umbrella review synthesizes estimates of Long COVID prevalence and risk factors as well as biases and limitations in the primary and review literatures. METHODS AND FINDINGS A systematic literature search was conducted using multiple electronic databases (PubMed, EMBASE, LitCOVID) from Jan 1, 2019 until June 9, 2023. Eligible studies were systematic reviews including adult populations assessed for at least one Long COVID symptom four weeks or more after SARS-CoV-2 infection. Overall and subgroup prevalence and risk factors as well as risk of bias (ROB) assessments were extracted and descriptively analyzed. The protocol was registered with PROSPERO (CRD42023434323). Fourteen reviews of 5-196 primary studies were included: 8 reported on Long COVID prevalence, 5 on risk/protective factors, and 1 on both. Prevalence of at least 1 Long COVID symptom ranged from 21% (IQR: 8.9%-35%) to 74.5% (95% CI: 55.6%-78.0%). Risk factor reviews found significant associations between vaccination status, sex, acute COVID-19 severity, and comorbidities. Both prevalence and risk factor reviews frequently identified selection and ascertainment biases. Using the AMSTAR 2 criteria, the quality of included reviews, particularly the prevalence reviews, were concerning for the adequacy of ROB assessments and justifications for conducting meta-analysis. CONCLUSION A high level of heterogeneity render the interpretation of pooled prevalence estimates of Long COVID challenging, further hampered by the lack of robust critical appraisals in the included reviews. Risk factor reviews were of higher quality overall and suggested consistent associations between Long COVID risk and patient characteristics.
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Affiliation(s)
- Miao Jenny Hua
- Office of the Assistant Secretary of Planning and Evaluation, U.S. Department of Health and Human Services, Washington, DC, United States of America
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Gisela Butera
- National Institutes of Health Library, Office of Research Services, U.S. Department of Health and Human Services, Bethesda, MD, United States of America
| | - Oluwaseun Akinyemi
- Office of the Assistant Secretary of Planning and Evaluation, U.S. Department of Health and Human Services, Washington, DC, United States of America
| | - Deborah Porterfield
- Office of the Assistant Secretary of Planning and Evaluation, U.S. Department of Health and Human Services, Washington, DC, United States of America
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Rathod N, Kumar S, Chavhan R, Acharya S, Rathod S. Navigating the Long Haul: A Comprehensive Review of Long-COVID Sequelae, Patient Impact, Pathogenesis, and Management. Cureus 2024; 16:e60176. [PMID: 38868283 PMCID: PMC11167581 DOI: 10.7759/cureus.60176] [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: 04/22/2024] [Accepted: 05/12/2024] [Indexed: 06/14/2024] Open
Abstract
Long COVID, characterized by persistent symptoms following a SARS-CoV-2 infection, presents a significant public health challenge with wide-ranging implications. This comprehensive review explores the epidemiology, clinical manifestations, pathogenesis, risk factors, diagnosis, patient impact, management strategies, and long-term prognosis of COVID. Despite a varied symptomatology that spans multiple organ systems, including respiratory, neurological, and cardiovascular systems, this condition is primarily associated with chronic inflammation and potential viral persistence. Prevalence varies, influenced by the initial infection severity, demographic factors, and pre-existing conditions. The review emphasizes the necessity for healthcare systems to adapt to the needs of long-COVID patients by developing standardized diagnostic criteria and personalized, multidisciplinary treatment approaches. Current research gaps and future directions are identified, highlighting the urgent need for further studies on pathophysiological mechanisms and effective therapeutic interventions. This review aims to inform healthcare providers, researchers, and policymakers, enhancing patient care and guiding ongoing and future research initiatives. The continuing global focus and collaborative efforts offer hope for improved outcomes for those affected by long COVID, marking an essential step towards addressing this emergent condition comprehensively.
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Affiliation(s)
- Nishant Rathod
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Sunil Kumar
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Roma Chavhan
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Sourya Acharya
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Sagar Rathod
- Neurosurgery, Trivandrum Medical College, Thiruvananthapuram, IND
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Patel NJ, Wang X, Lin M, Kowalski EN, Cook CE, Vanni KMM, Guzzo K, Qian G, Bade KJ, Saavedra A, Venkat R, Srivatsan S, Williams ZK, Hanberg JS, Kawano Y, Schiff AE, Sparks JA, Wallace ZS. Factors Associated With an Electronic Health Record-Based Definition of Postacute Sequelae of COVID-19 in Patients With Systemic Autoimmune Rheumatic Disease. J Rheumatol 2024; 51:529-537. [PMID: 38428964 PMCID: PMC11065568 DOI: 10.3899/jrheum.2023-1092] [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] [Accepted: 02/12/2024] [Indexed: 03/03/2024]
Abstract
OBJECTIVE Many individuals with rheumatic disease are at higher risk for severe acute coronavirus disease 2019 (COVID-19). We aimed to evaluate risk factors for postacute sequelae of COVID-19 (PASC) using an electronic health record (EHR)-based definition. METHODS We identified patients with prevalent rheumatic diseases and COVID-19 within the Mass General Brigham healthcare system. PASC was defined by the International Classification of Diseases, 10th revision (ICD-10) codes, relevant labs, vital signs, and medications at least 30 days following the first COVID-19 infection. Patients were followed until the earliest of incident PASC, repeat COVID-19 infection, 1 year of follow-up, death, or February 19, 2023. We used multivariable Cox regression to estimate the association of baseline characteristics with PASC risk. RESULTS Among 2459 patients (76.37% female, mean age 57.4 years), the most common incident PASC manifestations were cough (14.56%), dyspnea (12.36%), constipation (11.39%), and fatigue (10.70%). Serious manifestations including acute coronary disease (4.43%), thromboembolism (3.09%), hypoxemia (3.09%), stroke (1.75%), and myocarditis (0.12%) were rare. The Delta wave (adjusted hazard ratio [aHR] 0.63, 95% CI 0.49-0.82) and Omicron era (aHR 0.50, 95% CI 0.41-0.62) were associated with lower risk of PASC than the early pandemic period (March 2020-June 2021). Age, obesity, comorbidity burden, race, and hospitalization for acute COVID-19 infection were associated with greater risk of PASC. Glucocorticoid (GC) use (aHR 1.19, 95% CI 1.05-1.34 compared to no use) was associated with greater risk of PASC. CONCLUSION Among patients with rheumatic diseases, following their first COVID-19 infection, we found a decreased risk of PASC over calendar time using an EHR-based definition. Aside from GCs, no specific immunomodulatory medications were associated with increased risk, and risk factors were otherwise similar to those seen in the general population.
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Affiliation(s)
- Naomi J Patel
- N.J. Patel, MD, MPH, Z.S. Wallace, MD, MSc, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, and Harvard Medical School, and Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Department of Medicine, Massachusetts General Hospital
| | - Xiaosong Wang
- X. Wang, MS, E.N. Kowalski, BS, K.M.M. Vanni, BA, G. Qian, BA&Sc, K.J. Bade, BS, A. Saavedra, BA, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | - Miao Lin
- M. Lin, MS, C.E. Cook, MPH, K. Guzzo, BA, S. Srivatsan, BS, Z.K. Williams, BS, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, and Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Department of Medicine, Massachusetts General Hospital
| | - Emily N Kowalski
- X. Wang, MS, E.N. Kowalski, BS, K.M.M. Vanni, BA, G. Qian, BA&Sc, K.J. Bade, BS, A. Saavedra, BA, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | - Claire E Cook
- M. Lin, MS, C.E. Cook, MPH, K. Guzzo, BA, S. Srivatsan, BS, Z.K. Williams, BS, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, and Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Department of Medicine, Massachusetts General Hospital
| | - Kathleen M M Vanni
- X. Wang, MS, E.N. Kowalski, BS, K.M.M. Vanni, BA, G. Qian, BA&Sc, K.J. Bade, BS, A. Saavedra, BA, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | - Krishan Guzzo
- M. Lin, MS, C.E. Cook, MPH, K. Guzzo, BA, S. Srivatsan, BS, Z.K. Williams, BS, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, and Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Department of Medicine, Massachusetts General Hospital
| | - Grace Qian
- X. Wang, MS, E.N. Kowalski, BS, K.M.M. Vanni, BA, G. Qian, BA&Sc, K.J. Bade, BS, A. Saavedra, BA, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | - Katarina J Bade
- X. Wang, MS, E.N. Kowalski, BS, K.M.M. Vanni, BA, G. Qian, BA&Sc, K.J. Bade, BS, A. Saavedra, BA, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | - Alene Saavedra
- X. Wang, MS, E.N. Kowalski, BS, K.M.M. Vanni, BA, G. Qian, BA&Sc, K.J. Bade, BS, A. Saavedra, BA, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | | | - Shruthi Srivatsan
- M. Lin, MS, C.E. Cook, MPH, K. Guzzo, BA, S. Srivatsan, BS, Z.K. Williams, BS, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, and Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Department of Medicine, Massachusetts General Hospital
| | - Zachary K Williams
- M. Lin, MS, C.E. Cook, MPH, K. Guzzo, BA, S. Srivatsan, BS, Z.K. Williams, BS, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, and Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Department of Medicine, Massachusetts General Hospital
| | - Jennifer S Hanberg
- J.S. Hanberg, MD, Y. Kawano, MD, J.A. Sparks, MD, MMSc, Harvard Medical School, and Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | - Yumeko Kawano
- J.S. Hanberg, MD, Y. Kawano, MD, J.A. Sparks, MD, MMSc, Harvard Medical School, and Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | - Abigail E Schiff
- A.E. Schiff, MD, PhD, Harvard Medical School, and Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jeffrey A Sparks
- J.S. Hanberg, MD, Y. Kawano, MD, J.A. Sparks, MD, MMSc, Harvard Medical School, and Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital
| | - Zachary S Wallace
- N.J. Patel, MD, MPH, Z.S. Wallace, MD, MSc, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, and Harvard Medical School, and Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Department of Medicine, Massachusetts General Hospital;
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Li AY, Li WX, Li J. Emerging trends in management of long COVID with a focus on pulmonary rehabilitation: A review. THE CLINICAL RESPIRATORY JOURNAL 2024; 18:e13777. [PMID: 38775379 PMCID: PMC11110486 DOI: 10.1111/crj.13777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/10/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024]
Abstract
Long COVID, or post-acute sequelae of COVID-19 (PASC), represents a complex condition with persistent symptoms following SARS-Cov-2 infection. The symptoms include fatigue, dyspnoea, cognitive impairment, decreased quality of life in variable levels of severity. Potential mechanisms behind long COVID include vascular damage, immune dysregulation and viral persistence. Diagnosing long COVID involves medical evaluation by multidisciplinary team and assessment of persistent symptoms with scoring systems in development. Treatment strategies are symptom-focused, encompassing multidisciplinary care, rehabilitation and tailored exercise programmes. Pulmonary rehabilitation, an effective and critical component of long COVID management, has shown promise, particularly for patients with respiratory symptoms such as dyspnoea. These programmes, which combine exercise, breathing techniques, education and psychological support, improve symptoms, quality of life and overall recovery. Innovative technologies, such as telemedicine, wearable devices, telerehabilitation, are transforming long COVID management. Telemedicine facilitates consultations and interventions, eliminating healthcare access barriers. Wearable devices enable remote and continuous monitoring of patients during their rehabilitation activities. Telerehabilitation has proven to be safe and feasible and to have high potential for COVID-19 recovery. This review provides a concise overview of long COVID, encompassing its definition, prevalence, mechanisms, clinical manifestations, diagnosis and management approaches. It emphasizes the significance of multidisciplinary approach in diagnosis and treatment of long COVID, with focus on pulmonary rehabilitation and innovative technology advances to effectively address the management of long COVID.
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Affiliation(s)
- Allison Y. Li
- Department of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- College of EngineeringUniversity of California Santa BarbaraSanta BarbaraCaliforniaUSA
| | - Willis X. Li
- Department of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Jinghong Li
- Department of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
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Sawano M, Wu Y, Shah RM, Zhou T, Arun AS, Khosla P, Kaleem S, Vashist A, Bhattacharjee B, Ding Q, Lu Y, Caraballo C, Warner F, Huang C, Herrin J, Putrino D, Michelsen T, Fisher L, Adinig C, Iwasaki A, Krumholz HM. Long COVID Characteristics and Experience: A Descriptive Study From the Yale LISTEN Research Cohort. Am J Med 2024:S0002-9343(24)00238-9. [PMID: 38663793 DOI: 10.1016/j.amjmed.2024.04.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 08/03/2024]
Abstract
BACKGROUND The experience of people with long COVID needs further amplification, especially with a comprehensive focus on symptomatology, treatments, and the impact on daily life and finances. Our intent is to describe the experience of people with long COVID symptomatology and characterize the psychological, social, and financial challenges they experience. METHODS We collected data from individuals aged 18 and older reporting long COVID as participants in the Yale Listen to Immune, Symptom and Treatment Experiences Now study. The sample population included 441 participants surveyed between May 2022 and July 2023. We evaluated their demographic characteristics, socioeconomic and psychological status, index infection period, health status, quality of life, symptoms, treatments, prepandemic comorbidities, and new-onset conditions. RESULTS Overall, the median age of the participants with long COVID was 46 years (interquartile range [IQR]: 38-57 years); 74% were women, 86% were non-Hispanic White, and 93% were from the United States. Participants reported a low health status measured by the Euro-QoL visual analog scale, with a median score of 49 (IQR: 32-61). Participants documented a diverse range of symptoms, with all 96 possible symptom choices being reported. Additionally, participants had tried many treatments (median number of treatments: 19, IQR: 12-28). They were also experiencing psychological distress, social isolation, and financial stress. CONCLUSIONS Despite having tried numerous treatments, participants with long COVID continued to experience an array of health and financial challenges-findings that underscore the failure of the healthcare system to address the medical needs of people with long COVID. These insights highlight the need for crucial medical, mental health, financial, and community support services, as well as further scientific investigation to address the complex impact of long COVID.
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Affiliation(s)
- Mitsuaki Sawano
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - Yilun Wu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Department of Biostatistics, Yale School of Public Health, New Haven, Conn
| | - Rishi M Shah
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Department of Applied Mathematics, Yale College, New Haven, Conn
| | | | | | | | - Shayaan Kaleem
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anushree Vashist
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; The College at the University of Chicago, Chicago, Ill
| | - Bornali Bhattacharjee
- Center for Infection and Immunity, Yale School of Medicine, New Haven, Conn; Department of Immunobiology, Yale School of Medicine, New Haven, Conn
| | - Qinglan Ding
- College of Health and Human Sciences, Purdue University, West Lafayette, Ind
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn; Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Conn; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Conn
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - Frederick Warner
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - Chenxi Huang
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - Jeph Herrin
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - David Putrino
- Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | | | - Akiko Iwasaki
- Center for Infection and Immunity, Yale School of Medicine, New Haven, Conn; Department of Immunobiology, Yale School of Medicine, New Haven, Conn; Howard Hughes Medical Institute, Chevy Chase, Md
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn; Center for Infection and Immunity, Yale School of Medicine, New Haven, Conn; Department of Health Policy and Management, Yale School of Public Health, New Haven, Conn.
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Stave GM, Nabeel I, Durand-Moreau Q. Long COVID-ACOEM Guidance Statement. J Occup Environ Med 2024; 66:349-357. [PMID: 38588073 DOI: 10.1097/jom.0000000000003059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
ABSTRACT Persistent symptoms are common after acute COVID-19, often referred to as long COVID. Long COVID may affect the ability to perform activities of daily living, including work. Long COVID occurs more frequently in those with severe acute COVID-19. This guidance statement reviews the pathophysiology of severe acute COVID-19 and long COVID and provides pragmatic approaches to long COVID symptoms, syndromes, and conditions in the occupational setting. Disability laws and workers' compensation are also addressed.
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Affiliation(s)
- Gregg M Stave
- From the Division of Occupational and Environmental Medicine, Duke University, Durham, NC (G.M.S.); Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY (I.N.); and Division of Preventive Medicine, University of Alberta, Edmonton, Canada (Q.D.-M.)
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Kavanagh KT, Cormier LE, Pontus C, Bergman A, Webley W. Long COVID's Impact on Patients, Workers, & Society: A review. Medicine (Baltimore) 2024; 103:e37502. [PMID: 38518038 PMCID: PMC10957027 DOI: 10.1097/md.0000000000037502] [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: 12/19/2023] [Accepted: 02/14/2024] [Indexed: 03/24/2024] Open
Abstract
The incidence of long COVID in adult survivors of an acute SARS-CoV-2 infection is approximately 11%. Of those afflicted, 26% have difficulty with day-to-day activities. The majority of long COIVD cases occur after mild or asymptomatic acute infection. Children can spread SARS-CoV-2 infections and can also develop long-term neurological, endocrine (type I diabetes), and immunological sequelae. Immunological hypofunction is exemplified by the recent large outbreaks of respiratory syncytial virus and streptococcal infections. Neurological manifestations are associated with anatomical brain damage demonstrated on brain scans and autopsy studies. The prefrontal cortex is particularly susceptible. Common symptoms include brain fog, memory loss, executive dysfunction, and personality changes. The impact on society has been profound. Fewer than half of previously employed adults who develop long COVID are working full-time, and 42% of patients reported food insecurity and 20% reported difficulties paying rent. Vaccination not only helps prevent severe COVID-19, but numerous studies have found beneficial effects in preventing and mitigating long COVID. There is also evidence that vaccination after an acute infection can lessen the symptoms of long COVID. Physical and occupational therapy can also help patients regain function, but the approach must be "low and slow." Too much physical or mental activity can result in post-exertional malaise and set back the recovery process by days or weeks. The complexity of long COVID presentations coupled with rampant organized disinformation, have caused significant segments of the public to ignore sound public health advice. Further research is needed regarding treatment and effective public communication.
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Affiliation(s)
| | | | | | | | - Wilmore Webley
- Department of Microbiology, University of Massachusetts Amherst, Amherst, MA
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Mora AM, Kogut K, Sandhu NK, Ridgway D, Patty CM, Renteria M, Morga N, Rodriguez MT, Romero M, Valdovinos JM, Torres-Nguyen A, Guzman O, Martinez M, Doty RL, Padilla A, Flores E, Brown PM, Eskenazi B. SARS-CoV-2 infection and long COVID among California farmworkers. J Rural Health 2024; 40:292-302. [PMID: 37715721 DOI: 10.1111/jrh.12796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/30/2023] [Accepted: 09/06/2023] [Indexed: 09/18/2023]
Abstract
PURPOSE The purpose of this cross-sectional study was to determine the prevalence of long COVID and identify its clinical manifestations among farmworkers in California. METHODS We collected data on sociodemographic characteristics, anthropometrics, clinical chemistries and anti-SARS-CoV-2 immunoglobulin G antibodies, self-reported SARS-CoV-2 infection history, and standardized health tests and scales from 297 farmworkers in California between February and July 2022. RESULTS Most participants were born in Mexico or Central America, had less than a high school diploma, and were overweight or obese. The prevalence of long COVID (defined as self-reported SARS-CoV-2 infection with symptoms >28 days) among farmworkers with a suspected or test-confirmed infection was 61.8%. Participants with long COVID had higher mean [95% CI] body mass index (32.9 [31.6-34.1]) and high-sensitivity C-reactive protein levels (4.8 [3.7, 6.0]) than those with no COVID-19 history (30.5 [29.3-31.7], and 3.3 [2.2, 4.3], respectively). Farmworkers with long COVID also reported greater fatigue, dyspnea, taste and smell problems, and overall poorer mental and physical health, than those with no COVID-19 history. Farmworkers with long COVID had increased odds of functional limitations compared to those with a self-reported SARS-CoV-2 infection with symptoms ≤28 days (OR [95% CI]: 7.46 [3.26, 17.09]). CONCLUSIONS A significant proportion of farmworkers experience long COVID with persistent symptoms that limit their ability to perform their work. A comprehensive approach that addresses the unique needs and challenges of farmworkers is warranted given this population's high prevalence of long COVID and the essential nature of their work.
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Affiliation(s)
- Ana M Mora
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California, Berkeley, California, USA
| | - Katherine Kogut
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California, Berkeley, California, USA
| | - Nimrat K Sandhu
- Department of Public Health, University of California, Merced, California, USA
| | - Derry Ridgway
- Health Sciences Research Institute, University of California, Merced, California, USA
| | - Chris M Patty
- Kaweah Health Medical Center, Visalia, California, USA
| | - Melissa Renteria
- Department of Public Health, University of California, Merced, California, USA
| | - Norma Morga
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California, Berkeley, California, USA
| | - Maria T Rodriguez
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California, Berkeley, California, USA
| | - Monica Romero
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California, Berkeley, California, USA
| | - Jose M Valdovinos
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California, Berkeley, California, USA
| | | | - Omar Guzman
- Kaweah Health Medical Center, Visalia, California, USA
| | | | - Richard L Doty
- Smell and Taste Center, Department of Otorhinolaryngology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ana Padilla
- Community and Labor Center, University of California, Merced, California, USA
| | - Edward Flores
- Community and Labor Center, University of California, Merced, California, USA
| | - Paul M Brown
- Department of Public Health, University of California, Merced, California, USA
| | - Brenda Eskenazi
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California, Berkeley, California, USA
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Ose DJ, Gardner E, Millar M, Curtin A, Wu J, Zhang M, Schaefer C, Wang J, Leiser J, Stoesser K, Kiraly B. A cross-sectional and population-based study from primary care on post-COVID-19 conditions in non-hospitalized patients. COMMUNICATIONS MEDICINE 2024; 4:24. [PMID: 38383883 PMCID: PMC10881566 DOI: 10.1038/s43856-024-00440-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Current research on post-COVID-19 conditions (PCC) has focused on hospitalized COVID-19 patients, and often lacks a comparison group. This study assessed the prevalence of PCC in non-hospitalized COVID-19 primary care patients compared to primary care patients not diagnosed with COVID-19. METHODS This cross-sectional, population-based study (n = 2539) analyzed and compared the prevalence of PCC in patients with a positive COVID-19 test (n = 1410) and patients with a negative COVID-19 test (n = 1129) never hospitalized for COVID-19 related conditions. Participants were identified using electronic health records and completed an electronic questionnaire, available in English and Spanish, including 54 potential post COVID-19 symptoms. Logistic regression was conducted to assess the association of PCC with COVID-19. RESULTS Post-COVID-19 conditions are prevalent in both groups, and significantly more prevalent in patients with COVID-19. Strong significant differences exist for the twenty most reported conditions, except for anxiety. Common conditions are fatigue (59.5% (COVID-19 positive) vs. 41.3% (COVID-19 negative); OR 2.15 [1.79-2.60]), difficulty sleeping (52.1% (positive) vs. 41.9% (negative); OR 1.42 [1.18-1.71]) and concentration problems (50.6% (positive) vs 28.5% (negative); OR 2.64 [2.17-3.22]). Similar disparities in prevalence are also observed after comparing two groups (positive vs. negative) by age, sex, time since testing, and race/ethnicity. CONCLUSIONS PCC is highly prevalent in non-hospitalized COVID-19 patients in primary care. However, it is important to note that PCC strongly overlaps with common health symptoms seen in primary care, including fatigue, difficulty sleeping, and headaches, which makes the diagnosis of PCC in primary care even more challenging.
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Affiliation(s)
- Dominik J Ose
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA
- Westsächsische Hochschule - Zwickau, Faculty of Health and Healthcare Science, Zwickau, Germany
| | - Elena Gardner
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA
| | - Morgan Millar
- University of Utah Health, School of Medicine, Department of Internal Medicine, Salt Lake City, UT, USA
| | - Andrew Curtin
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA
| | - Jiqiang Wu
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA
| | - Mingyuan Zhang
- University of Utah Health, Data Science Services, Salt Lake City, UT, USA
| | - Camie Schaefer
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA
| | - Jing Wang
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA
| | - Jennifer Leiser
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA
| | - Kirsten Stoesser
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA
| | - Bernadette Kiraly
- University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.
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Tandon P, Abrams ND, Avula LR, Carrick DM, Chander P, Divi RL, Dwyer JT, Gannot G, Gordiyenko N, Liu Q, Moon K, PrabhuDas M, Singh A, Tilahun ME, Satyamitra MM, Wang C, Warren R, Liu CH. Unraveling Links between Chronic Inflammation and Long COVID: Workshop Report. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 212:505-512. [PMID: 38315950 DOI: 10.4049/jimmunol.2300804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 12/12/2023] [Indexed: 02/07/2024]
Abstract
As COVID-19 continues, an increasing number of patients develop long COVID symptoms varying in severity that last for weeks, months, or longer. Symptoms commonly include lingering loss of smell and taste, hearing loss, extreme fatigue, and "brain fog." Still, persistent cardiovascular and respiratory problems, muscle weakness, and neurologic issues have also been documented. A major problem is the lack of clear guidelines for diagnosing long COVID. Although some studies suggest that long COVID is due to prolonged inflammation after SARS-CoV-2 infection, the underlying mechanisms remain unclear. The broad range of COVID-19's bodily effects and responses after initial viral infection are also poorly understood. This workshop brought together multidisciplinary experts to showcase and discuss the latest research on long COVID and chronic inflammation that might be associated with the persistent sequelae following COVID-19 infection.
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Affiliation(s)
- Pushpa Tandon
- National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Natalie D Abrams
- National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Leela Rani Avula
- National Cancer Institute, National Institutes of Health, Rockville, MD
| | | | - Preethi Chander
- National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD
| | - Rao L Divi
- National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Johanna T Dwyer
- Office of Dietary Supplements, National Institutes of Health, Bethesda, MD
| | - Gallya Gannot
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD
| | | | - Qian Liu
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Kyung Moon
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Mercy PrabhuDas
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Anju Singh
- National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Mulualem E Tilahun
- National Institute on Aging, National Institutes of Health, Bethesda, MD
| | - Merriline M Satyamitra
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Chiayeng Wang
- National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Ronald Warren
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Christina H Liu
- National Institute of General Medical Sciences, National Institutes of Health, Bethesda, MD
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Di Fusco M, Sun X, Allen KE, Yehoshua A, Berk A, Alvarez MB, Porter TM, Ren J, Puzniak L, Lopez SMC, Cappelleri JC. Effectiveness of BNT162b2 BA.4/5 Bivalent COVID-19 Vaccine against Long COVID Symptoms: A US Nationwide Study. Vaccines (Basel) 2024; 12:183. [PMID: 38400166 PMCID: PMC10893330 DOI: 10.3390/vaccines12020183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/09/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Long COVID has become a central public health concern. This study characterized the effectiveness of BNT162b2 BA.4/5 bivalent COVID-19 vaccine (bivalent) against long COVID symptoms. METHODS Symptomatic US adult outpatients testing positive for SARS-CoV-2 were recruited between 2 March and 18 May 2023. Symptoms were assessed longitudinally using a CDC-based symptom questionnaire at Week 4, Month 3, and Month 6 following infection. The odds ratio (OR) of long COVID between vaccination groups was assessed by using mixed-effects logistic models, adjusting for multiple covariates. RESULTS At Week 4, among 505 participants, 260 (51%) were vaccinated with bivalent and 245 (49%) were unvaccinated. Mean age was 46.3 years, 70.7% were female, 25.1% had ≥1 comorbidity, 43.0% prior infection, 23.0% reported Nirmatrelvir/Ritonavir use. At Month 6, the bivalent cohort had 41% lower risk of long COVID with ≥3 symptoms (OR: 0.59, 95% CI, 0.36-0.96, p = 0.034) and 37% lower risk of ≥2 symptoms (OR: 0.63, 95% CI, 0.41-0.96, p = 0.030). The bivalent cohort reported fewer and less durable symptoms throughout the six-month follow-up, driven by neurologic and general symptoms, especially fatigue. CONCLUSIONS Compared with unvaccinated participants, participants vaccinated with the bivalent were associated with approximately 40% lower risk of long COVID and less symptom burden over the six-month study duration.
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Affiliation(s)
| | | | | | | | | | | | | | - Jinma Ren
- Pfizer Inc., New York, NY 10001, USA
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Eddy RL, Mummy D, Zhang S, Dai H, Bechtel A, Schmidt A, Frizzell B, Gerayeli FV, Leipsic JA, Leung JM, Driehuys B, Que LG, Castro M, Sin DD, Niedbalski PJ. Cluster Analysis to Identify Long COVID Phenotypes Using 129Xe Magnetic Resonance Imaging: A Multi-centre Evaluation. Eur Respir J 2024; 63:2302301. [PMID: 38331459 PMCID: PMC10973687 DOI: 10.1183/13993003.02301-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 01/26/2024] [Indexed: 02/10/2024]
Abstract
BACKGROUND Long COVID impacts ∼10% of people diagnosed with COVID-19, yet the pathophysiology driving ongoing symptoms is poorly understood. We hypothesised that 129Xe magnetic resonance imaging (MRI) could identify unique pulmonary phenotypic subgroups of long COVID, therefore we evaluated ventilation and gas exchange measurements with cluster analysis to generate imaging-based phenotypes. METHODS COVID-negative controls and participants who previously tested positive for COVID-19 underwent 129XeMRI ∼14-months post-acute infection across three centres. Long COVID was defined as persistent dyspnea, chest tightness, cough, fatigue, nausea and/or loss of taste/smell at MRI; participants reporting no symptoms were considered fully-recovered. 129XeMRI ventilation defect percent (VDP) and membrane (Mem)/Gas, red blood cell (RBC)/Mem and RBC/Gas ratios were used in k-means clustering for long COVID, and measurements were compared using ANOVA with post-hoc Bonferroni correction. RESULTS We evaluated 135 participants across three centres: 28 COVID-negative (40±16yrs), 34 fully-recovered (42±14yrs) and 73 long COVID (49±13yrs). RBC/Mem (p=0.03) and FEV1 (p=0.04) were different between long- and COVID-negative; FEV1 and all other pulmonary function tests (PFTs) were within normal ranges. Four unique long COVID clusters were identified compared with recovered and COVID-negative. Cluster1 was the youngest with normal MRI and mild gas-trapping; Cluster2 was the oldest, characterised by reduced RBC/Mem but normal PFTs; Cluster3 had mildly increased Mem/Gas with normal PFTs; and Cluster4 had markedly increased Mem/Gas with concomitant reduction in RBC/Mem and restrictive PFT pattern. CONCLUSION We identified four 129XeMRI long COVID phenotypes with distinct characteristics. 129XeMRI can dissect pathophysiologic heterogeneity of long COVID to enable personalised patient care.
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Affiliation(s)
- Rachel L Eddy
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - David Mummy
- Department of Radiology, Duke University, Durham, NC, USA
| | - Shuo Zhang
- Department of Radiology, Duke University, Durham, NC, USA
| | - Haoran Dai
- Department of Medical Physics, Duke University, Durham, NC, USA
| | - Aryil Bechtel
- Department of Radiology, Duke University, Durham, NC, USA
| | - Alexandra Schmidt
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Bradie Frizzell
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Firoozeh V Gerayeli
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | - Jonathon A Leipsic
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Janice M Leung
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Bastiaan Driehuys
- Department of Radiology, Duke University, Durham, NC, USA
- Department of Medical Physics, Duke University, Durham, NC, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Loretta G Que
- Division of Pulmonary, Department of Medicine, Duke University, Durham, NC, USA
| | - Mario Castro
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Don D Sin
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Peter J Niedbalski
- Division of Pulmonary and Critical Care Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
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Villa A, Milito C, Deiana CM, Finco Gambier R, Punziano A, Buso H, Bez P, Lagnese G, Garzi G, Costanzo G, Giannuzzi G, Pagnozzi C, Dalm VASH, Spadaro G, Rattazzi M, Cinetto F, Firinu D. High Prevalence of Long COVID in Common Variable Immunodeficiency: An Italian Multicentric Study. J Clin Immunol 2024; 44:59. [PMID: 38319477 PMCID: PMC10847195 DOI: 10.1007/s10875-024-01656-2] [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: 11/14/2023] [Accepted: 01/16/2024] [Indexed: 02/07/2024]
Abstract
The long-term effects of SARS-CoV-2 infection represent a relevant global health problem. Long COVID (LC) is defined as a complex of signs and symptoms developed during or after SARS-CoV-2 infection and lasting > 12 weeks. In common variable immunodeficiency (CVID) patients, we previously reported higher risk of hospitalization and death during SARS-CoV-2 infection, as well as prolonged swab positivity and frequent reinfections. The aim of the present study was to assess the risk of LC in an Italian cohort of CVID patients. We used a translated version of the survey proposed by Centers for Disease Control and Prevention (CDC) to collect data on LC. In the enrolled cohort of 175 CVID patients, we found a high prevalence of LC (65.7%). The most frequent LC symptoms were fatigue (75.7%), arthralgia/myalgia (48.7%), and dyspnea (41.7%). The majority of patients (60%) experienced prolonged symptoms, for at least 6 months after infection. In a multivariate analysis, the presence of complicated phenotype (OR 2.44, 95% CI 1.88-5.03; p = 0.015), obesity (OR 11.17, 95% CI 1.37-90.95; p = 0.024), and female sex (OR 2.06, 95% CI 1.09-3.89; p = 0.024) significantly correlated with the development of LC. In conclusion, in this multicenter observational cohort study, we demonstrated that CVID patients present an increased prevalence of LC when compared to the general population. Improved awareness on the risk of LC in CVID patients could optimize management of this new and alarming complication of SARS-CoV-2 infection.
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Affiliation(s)
- Annalisa Villa
- Department of Molecular Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Cinzia Milito
- Department of Molecular Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Carla Maria Deiana
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy
| | - Renato Finco Gambier
- Rare Diseases Referral Center, Internal Medicine I, Ca' Foncello Hospital, AULSS2 Marca Trevigiana, Department of Medicine - DIMED, University of Padova, Treviso, Italy
| | - Alessandra Punziano
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Helena Buso
- Rare Diseases Referral Center, Internal Medicine I, Ca' Foncello Hospital, AULSS2 Marca Trevigiana, Department of Medicine - DIMED, University of Padova, Treviso, Italy
| | - Patrick Bez
- Rare Diseases Referral Center, Internal Medicine I, Ca' Foncello Hospital, AULSS2 Marca Trevigiana, Department of Medicine - DIMED, University of Padova, Treviso, Italy
| | - Gianluca Lagnese
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Giulia Garzi
- Department of Molecular Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Giulia Costanzo
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy
| | - Gloria Giannuzzi
- Department of Molecular Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Chiara Pagnozzi
- Rare Diseases Referral Center, Internal Medicine I, Ca' Foncello Hospital, AULSS2 Marca Trevigiana, Department of Medicine - DIMED, University of Padova, Treviso, Italy
| | - Virgil A S H Dalm
- Department of Internal Medicine, Division of Allergy & Clinical Immunology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Immunology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Giuseppe Spadaro
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Marcello Rattazzi
- Rare Diseases Referral Center, Internal Medicine I, Ca' Foncello Hospital, AULSS2 Marca Trevigiana, Department of Medicine - DIMED, University of Padova, Treviso, Italy
| | - Francesco Cinetto
- Rare Diseases Referral Center, Internal Medicine I, Ca' Foncello Hospital, AULSS2 Marca Trevigiana, Department of Medicine - DIMED, University of Padova, Treviso, Italy.
| | - Davide Firinu
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy
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50
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Aceituno H, Barrancas A, Quiroz-Bravo F, Rigaud D, Pérez-Cuesta D, Tobar-Bustamante A, Osores-Espinoza M, Figueroa-Torres C, Rojas-Catejo C, Cisneros-Zamora J. The Impact of Long COVID on Cognitive Performance and Sleep Quality: An Analysis of the Rancagua Chilean Study (RACHIS). Cureus 2024; 16:e55089. [PMID: 38558691 PMCID: PMC10978153 DOI: 10.7759/cureus.55089] [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: 02/27/2024] [Indexed: 04/04/2024] Open
Abstract
Background Infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to prolonged symptoms post-recovery, commonly known as long-term coronavirus disease 2019 (COVID-19) or "long COVID." Neuropsychiatric consequences of long COVID include cognitive dysfunction and sleep disturbances, which significantly impair daily living. This study aimed to explore the impact of long COVID on cognitive performance and sleep quality in patients receiving outpatient care. Material and methods This study involved a random sample of 138 of 363 patients, corresponding to 38% of the cohort, who tested positive for SARS-CoV-2 via polymerase chain reaction (PCR) between May 2020 and April 2021. These unvaccinated, non-hospitalized individuals, predominantly exhibiting mild disease symptoms, were prospectively assessed 11 months post-positive PCR test. After informed consent, demographic data, memory, and concentration impairment levels were collected through interviews. Participants reporting cognitive symptoms underwent the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MOCA), and the Pittsburgh Sleep Quality Index. Statistical analyses were conducted, including Student's t-test, Chi-square, Fisher's test, Kruskal-Wallis test, and Pearson correlation coefficient, with a significance threshold set at p<0.05. Results Of the 138 participants, 76 (55.1%) were female and 62 (44.9%) were male. The mean age was 45.9 years (± 13.0), with an average educational attainment of 10.4 years (± 3.7). Roughly 50% of the patients reported significant memory and concentration issues (p<0.001). Thirty-three participants underwent detailed cognitive assessments, revealing a 2:1 female-to-male ratio and a significantly higher prevalence of depression in female participants. Cognitive deficits were diagnosed in five (15.2%) participants via the MMSE and in 26 (78.8%) via the MOCA test, with notable deficits in visuospatial/executive functions, language repeat, and deferred recall (p<0.001). A lower educational level was correlated with higher cognitive deficits (p=0.03). Conclusion The study findings reveal that cognitive impairments, as a consequence of COVID-19, can persist up to 11 months post-infection. The MOCA test proved more effective in diagnosing these deficits and requires adjustments based on educational background. Sleep parameters remained largely unaffected in this cohort, likely attributed to the mild nature of the initial symptoms and the outpatient management of the disease.
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Affiliation(s)
- Héctor Aceituno
- Neurological Surgery, Hospital San Juan de Dios, Curico, CHL
| | - Andrea Barrancas
- Neurology, Hospital Regional Libertador Bernardo O'Higgins, Rancagua, CHL
| | | | - Dairene Rigaud
- Surgery, Hospital Regional Libertador Bernardo O'Higgins, Rancagua, CHL
| | - Denis Pérez-Cuesta
- General Medicine, Centro de Salud Familiar N°1 (CESFAM N°1), Rancagua, CHL
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