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Chronic viral coinfections differentially affect the likelihood of developing long COVID.

ABSTRACT: BACKGROUNDThe presence and reactivation of chronic viral infections, such as EBV, CMV, and HIV, have been proposed as potential contributors to long COVID (LC), but studies in well-characterized postacute cohorts of individuals with COVID-19 over a longer time course consistent with current case definitions of LC are limited.METHODSIn a cohort of 280 adults with prior SARS-CoV-2 infection, we assessed the presence and types of LC symptoms and prior medical history (including COVID-19 history and HIV status) and performed serological testing for EBV and CMV using a commercial laboratory. We used covariate-adjusted binary logistic regression models to identify independent associations between variables and LC symptoms.RESULTSWe observed that LC symptoms, such as fatigue and neurocognitive dysfunction, at a median of 4 months following initial diagnosis were independently associated with serological evidence suggesting recent EBV reactivation (early antigen-diffuse IgG positivity) or high nuclear antigen (EBNA) IgG levels but not with ongoing EBV viremia. Serological evidence suggesting recent EBV reactivation (early antigen-diffuse IgG positivity) was most strongly associated with fatigue (OR = 2.12). Underlying HIV infection was also independently associated with neurocognitive LC (OR = 2.5). Interestingly, participants who had serologic evidence of prior CMV infection were less likely to develop neurocognitive LC (OR = 0.52).CONCLUSIONOverall, these findings suggest differential effects of chronic viral coinfections on the likelihood of developing LC and association with distinct syndromic patterns. Further assessment during the acute phase of COVID-19 is warranted.TRIAL REGISTRATIONLong-term Impact of Infection with Novel Coronavirus; ClinicalTrials.gov NCT04362150.FUNDINGThis work was supported by NIH/National Institute of Allergy and Infectious Diseases grants (3R01AI141003-03S1, R01AI158013, and K24AI145806); the Zuckerberg San Francisco General Hospital Department of Medicine and Division of HIV, Infectious Diseases, and Global Medicine; and the UCSF-Bay Area Center for AIDS Research (P30-AI027763).

SUBMITTER: Peluso MJ

PROVIDER: S-EPMC9888380 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Chronic viral coinfections differentially affect the likelihood of developing long COVID.

Peluso Michael J MJ Deveau Tyler-Marie TM Munter Sadie E SE Ryder Dylan D Buck Amanda A Beck-Engeser Gabriele G Chan Fay F Lu Scott S Goldberg Sarah A SA Hoh Rebecca R Tai Viva V Torres Leonel L Iyer Nikita S NS Deswal Monika M Ngo Lynn H LH Buitrago Melissa M Rodriguez Antonio A Chen Jessica Y JY Yee Brandon C BC Chenna Ahmed A Winslow John W JW Petropoulos Christos J CJ Deitchman Amelia N AN Hellmuth Joanna J Spinelli Matthew A MA Durstenfeld Matthew S MS Hsue Priscilla Y PY Kelly J Daniel JD Martin Jeffrey N JN Deeks Steven G SG Hunt Peter W PW Henrich Timothy J TJ

The Journal of clinical investigation 20230201 3

BACKGROUNDThe presence and reactivation of chronic viral infections, such as EBV, CMV, and HIV, have been proposed as potential contributors to long COVID (LC), but studies in well-characterized postacute cohorts of individuals with COVID-19 over a longer time course consistent with current case definitions of LC are limited.METHODSIn a cohort of 280 adults with prior SARS-CoV-2 infection, we assessed the presence and types of LC symptoms and prior medical history (including COVID-19 history and ...[more]

PMID: 36454631

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Project description:BackgroundViral respiratory infections, especially acute bronchiolitis, play a key role in the development of asthma in childhood. However, most studies have focused on respiratory syncytial virus or rhinovirus infections and none of them have compared the long-term evolution of single versus double or multiple viral infections.ObjectiveOur aim was to compare the frequency of asthma development at 6-8 years in children with previous admission for bronchiolitis associated with single versus double or multiple viral infection.Patients & methodsA cross-sectional study was performed in 244 children currently aged 6-8 years, previously admitted due to bronchiolitis between September 2008 and December 2011. A structured clinical interview and the ISAAC questionnaire for asthma symptoms for 6-7-year-old children, were answered by parents by telephone. Specimens of nasopharyngeal aspirate for virological study (polymerase chain reaction) and clinical data were prospectively taken during admission for bronchiolitis.ResultsMedian current age at follow-up was 7.3 years (IQR: 6.7-8.1). The rate of recurrent wheezing was 82.7% in the coinfection group and 69.7% in the single-infection group, p = 0.06. The number of wheezing-related admissions was twice as high in coinfections than in single infections, p = 0.004. Regarding the ISAAC questionnaire, 30.8% of coinfections versus 15% of single infections, p = 0.01, presented "wheezing in the last 12 months", data that strongly correlate with current prevalence of asthma. "Dry cough at night" was also reported more frequently in coinfections than in single infections, p = 0.02. The strongest independent risk factors for asthma at 6-8 years of age were: age > 9 months at admission for bronchiolitis (OR: 3.484; CI95%: 1.459-8.317, p:0.005), allergic rhinitis (OR: 5.910; 95%CI: 2.622-13.318, p<0.001), and viral coinfection-bronchiolitis (OR: 3.374; CI95%: 1.542-7.386, p:0.01).ConclusionsAsthma at 6-8 years is more frequent and severe in those children previously hospitalized with viral coinfection-bronchiolitis compared with those with single infection. Allergic rhinitis and older age at admission seem also to be strong independent risk factors for asthma development in children previously hospitalised because of bronchiolitis.

Project description:BackgroundLong-term health consequences following acute SARS-CoV-2 infection, referred to as post-COVID-19 condition or Long COVID, are increasing, with population-based prevalence estimates for adults at around 20%. Persons affected by Long COVID report various health problems, yet evidence to guide clinical decision making remains scarce.ObjectiveThe present study aimed to identify Long COVID research priorities using a citizen science approach and solely considering the needs of those affected.MethodsThis citizen science study followed an iterative process of patient needs identification, evaluation and prioritisation. A Long COVID Citizen Science Board (21 persons with Long COVID, and seven with myalgic encephalomyelitis/chronic fatigue syndrome) and a Long COVID Working Group (25 persons with Long COVID, four patients with myalgic encephalomyelitis/chronic fatigue syndrome and one relative) were formed. The study included four activities: three remote meetings and one online survey. First, Board members identified the needs and research questions. Second, Working Group members and persons affected by Long COVID (241 respondents, 85.5% with Long COVID, 14.5% with myalgic encephalomyelitis/chronic fatigue syndrome and 7.1% relatives) evaluated the research questions on a 1-5 Likert scale using an online survey. Then the Board gave feedback on this evaluation. Finally, Board members set the priorities for research through voting and discussion.ResultsSixty-eight research questions were generated by the Board and categorised into four research domains (medicine, healthcare services, socioeconomics and burden of disease) and 14 subcategories. Their average importance ratings were moderate to high and varied from 3.41 (standard deviation = 1.16) for sex-specific diagnostics to 4.86 (standard deviation = 0.41) for medical questions on treatment. Five topics were prioritised: "treatment, rehabilitation and chronic care management", "availability of interfaces for treatment continuity", "availability of healthcare structures", "awareness and knowledge among professionals" and "prevalence of Long COVID in children and adolescents".ConclusionsTo our knowledge, this is the first study developing a citizen-driven, explicitly patient-centred research agenda with persons affected by Long COVID, setting it apart from existing multi-stakeholder efforts. The identified priorities could guide future research and funding allocation. Our methodology establishes a framework for citizen-driven research agendas, suitable for transfer to other diseases.

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Chronic viral coinfections differentially affect the likelihood of developing long COVID.

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Chronic viral coinfections differentially affect the likelihood of developing long COVID.

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