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Coleman B, Casiraghi E, Callahan TJ, Blau H, Chan LE, Laraway B, Clark KB, Re'em Y, Gersing KR, Wilkins KJ, Harris NL, Valentini G, Haendel MA, Reese JT, Robinson PN. Association of post-COVID phenotypic manifestations with new-onset psychiatric disease. Transl Psychiatry 2024; 14:246. [PMID: 38851761 PMCID: PMC11162470 DOI: 10.1038/s41398-024-02967-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/11/2024] [Accepted: 05/29/2024] [Indexed: 06/10/2024] Open
Abstract
Acute COVID-19 infection can be followed by diverse clinical manifestations referred to as Post Acute Sequelae of SARS-CoV2 Infection (PASC). Studies have shown an increased risk of being diagnosed with new-onset psychiatric disease following a diagnosis of acute COVID-19. However, it was unclear whether non-psychiatric PASC-associated manifestations (PASC-AMs) are associated with an increased risk of new-onset psychiatric disease following COVID-19. A retrospective electronic health record (EHR) cohort study of 2,391,006 individuals with acute COVID-19 was performed to evaluate whether non-psychiatric PASC-AMs are associated with new-onset psychiatric disease. Data were obtained from the National COVID Cohort Collaborative (N3C), which has EHR data from 76 clinical organizations. EHR codes were mapped to 151 non-psychiatric PASC-AMs recorded 28-120 days following SARS-CoV-2 diagnosis and before diagnosis of new-onset psychiatric disease. Association of newly diagnosed psychiatric disease with age, sex, race, pre-existing comorbidities, and PASC-AMs in seven categories was assessed by logistic regression. There were significant associations between a diagnosis of any psychiatric disease and five categories of PASC-AMs with odds ratios highest for neurological, cardiovascular, and constitutional PASC-AMs with odds ratios of 1.31, 1.29, and 1.23 respectively. Secondary analysis revealed that the proportions of 50 individual clinical features significantly differed between patients diagnosed with different psychiatric diseases. Our study provides evidence for association between non-psychiatric PASC-AMs and the incidence of newly diagnosed psychiatric disease. Significant associations were found for features related to multiple organ systems. This information could prove useful in understanding risk stratification for new-onset psychiatric disease following COVID-19. Prospective studies are needed to corroborate these findings.
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Affiliation(s)
- Ben Coleman
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Institute for Systems Genomics, University of Connecticut, Farmington, CT, USA
| | - Elena Casiraghi
- AnacletoLab, Dipartimento di Informatica, Università degli Studi di Milano, Milan, Italy
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Tiffany J Callahan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Hannah Blau
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Lauren E Chan
- Department of Pediatrics, University of Chicago, Chicago, IL, USA
| | - Bryan Laraway
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kevin B Clark
- Cures Within Reach, Chicago, IL, USA
- Champions Service, Computational Science Support Network, Multi-Tier Assistance, Training, and Computational Help (MATCH) Program, National Science Foundation Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support (ACCESS)
- Neurology Subgroup, COVID-19 International Research Team
| | - Yochai Re'em
- Weill Cornell Medicine, Department of Psychiatry, New York, NY, USA
| | - Ken R Gersing
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Kenneth J Wilkins
- Biostatistics Program, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Nomi L Harris
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Giorgio Valentini
- AnacletoLab, Dipartimento di Informatica, Università degli Studi di Milano, Milan, Italy
| | | | - Justin T Reese
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
| | - Peter N Robinson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
- Institute for Systems Genomics, University of Connecticut, Farmington, CT, USA.
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Jaywant A, Gunning FM, Oberlin LE, Santillana M, Ognyanova K, Druckman JN, Baum MA, Lazer D, Perlis RH. Cognitive Symptoms of Post-COVID-19 Condition and Daily Functioning. JAMA Netw Open 2024; 7:e2356098. [PMID: 38353947 PMCID: PMC10867690 DOI: 10.1001/jamanetworkopen.2023.56098] [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: 10/31/2023] [Accepted: 12/20/2023] [Indexed: 02/16/2024] Open
Abstract
Importance The frequent occurrence of cognitive symptoms in post-COVID-19 condition has been described, but the nature of these symptoms and their demographic and functional factors are not well characterized in generalizable populations. Objective To investigate the prevalence of self-reported cognitive symptoms in post-COVID-19 condition, in comparison with individuals with prior acute SARS-CoV-2 infection who did not develop post-COVID-19 condition, and their association with other individual features, including depressive symptoms and functional status. Design, Setting, and Participants Two waves of a 50-state nonprobability population-based internet survey conducted between December 22, 2022, and May 5, 2023. Participants included survey respondents aged 18 years and older. Exposure Post-COVID-19 condition, defined as self-report of symptoms attributed to COVID-19 beyond 2 months after the initial month of illness. Main Outcomes and Measures Seven items from the Neuro-QoL cognition battery assessing the frequency of cognitive symptoms in the past week and patient Health Questionnaire-9. Results The 14 767 individuals reporting test-confirmed COVID-19 illness at least 2 months before the survey had a mean (SD) age of 44.6 (16.3) years; 568 (3.8%) were Asian, 1484 (10.0%) were Black, 1408 (9.5%) were Hispanic, and 10 811 (73.2%) were White. A total of 10 037 respondents (68.0%) were women and 4730 (32.0%) were men. Of the 1683 individuals reporting post-COVID-19 condition, 955 (56.7%) reported at least 1 cognitive symptom experienced daily, compared with 3552 of 13 084 (27.1%) of those who did not report post-COVID-19 condition. More daily cognitive symptoms were associated with a greater likelihood of reporting at least moderate interference with functioning (unadjusted odds ratio [OR], 1.31 [95% CI, 1.25-1.36]; adjusted [AOR], 1.30 [95% CI, 1.25-1.36]), lesser likelihood of full-time employment (unadjusted OR, 0.95 [95% CI, 0.91-0.99]; AOR, 0.92 [95% CI, 0.88-0.96]) and greater severity of depressive symptoms (unadjusted coefficient, 1.40 [95% CI, 1.29-1.51]; adjusted coefficient 1.27 [95% CI, 1.17-1.38). After including depressive symptoms in regression models, associations were also found between cognitive symptoms and at least moderate interference with everyday functioning (AOR, 1.27 [95% CI, 1.21-1.33]) and between cognitive symptoms and lower odds of full-time employment (AOR, 0.92 [95% CI, 0.88-0.97]). Conclusions and Relevance The findings of this survey study of US adults suggest that cognitive symptoms are common among individuals with post-COVID-19 condition and associated with greater self-reported functional impairment, lesser likelihood of full-time employment, and greater depressive symptom severity. Screening for and addressing cognitive symptoms is an important component of the public health response to post-COVID-19 condition.
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Affiliation(s)
- Abhishek Jaywant
- Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Faith M. Gunning
- Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Lauren E. Oberlin
- Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Mauricio Santillana
- Machine Intelligence Group for the Betterment of Health and the Environment, Northeastern University, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Katherine Ognyanova
- Department of Communication, School of Communication and Information, Rutgers University, New Brunswick, New Jersey
| | - James N. Druckman
- Department of Political Science, University of Rochester, Rochester, New York
| | - Matthew A. Baum
- John F. Kennedy School of Government and Department of Government, Harvard University, Cambridge, Massachusetts
| | - David Lazer
- Network Science Institute, Northeastern University, Boston, Massachusetts
- Department of Political Science, Northeastern University, Boston, Massachusetts
- Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts
- Institute for Quantitative Social Science, Harvard University, Cambridge, Massachusetts
| | - Roy H. Perlis
- Center for Quantitative Health, Massachusetts General Hospital, Boston
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
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Azzam A, Khaled H, Refaey N, Mohsen S, El-Emam OA, Dawood N, Ahmed HA, Soliman OA, Mostafa S, Ramadan H, Mosa M, Elmowafy AOI, Rizk SMA, Zaki A, Hussien M, Ahmed A, Ezzat AA, Hassan FE. The burden of persistent symptoms after COVID-19 (long COVID): a meta-analysis of controlled studies in children and adults. Virol J 2024; 21:16. [PMID: 38212781 PMCID: PMC10785462 DOI: 10.1186/s12985-024-02284-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Previous meta-analyses estimating the prevalence of the post-COVID-19 condition (PCC) were confounded by the lack of negative control groups. This may result in an overestimation of the prevalence of those experiencing PCC, as these symptoms are non-specific and common in the general population. In this study, we aimed to compare the burden of persistent symptoms among COVID-19 survivors relative to COVID-19-negative controls. METHODS A systematic literature search was conducted using the following databases (PubMed, Web of Science, and Scopus) until July 2023 for comparative studies that examined the prevalence of persistent symptoms in COVID-19 survivors. Given that many of the symptoms among COVID-19 survivors overlap with post-hospitalization syndrome and post-intensive care syndrome, we included studies that compare the prevalence of persistent symptoms in hospitalized COVID-19 patients relative to non-COVID-19 hospitalized patients and in non-hospitalized COVID-19 patients relative to healthy controls that reported outcomes after at least 3 months since infection. The results of the meta-analysis were reported as odds ratios with a 95% confidence interval based on the random effects model. RESULTS Twenty articles were included in this study. Our analysis of symptomatology in non-hospitalized COVID-19 patients compared to negative controls revealed that the majority of symptoms examined were not related to COVID-19 infection and appeared equally prevalent in both cohorts. However, non-COVID-19 hospitalized patients had higher odds of occurrence of certain symptoms like anosmia, ageusia, fatigue, dyspnea, and brain fog (P < 0.05). Particularly, anosmia and ageusia showed substantially elevated odds relative to the negative control group at 11.27 and 9.76, respectively, P < 0.05. In contrast, analysis of hospitalized COVID-19 patients compared to those hospitalized for other indications did not demonstrate significantly higher odds for the tested symptoms. CONCLUSIONS The persistent symptoms in COVID-19 survivors may result from hospitalization for causes unrelated to COVID-19 and are commonly reported among the general population. Although certain symptoms exhibited higher odds in non-hospitalized COVID-19 patients relative to controls, these symptoms are common post-viral illnesses. Therefore, the persistent symptoms after COVID-19 may not be unique to SARS-CoV-2. Future studies including well-matched control groups when investigating persistent symptoms in COVID-19 survivors are warranted to draw a firm conclusion.
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Affiliation(s)
- Ahmed Azzam
- Department of Microbiology and Immunology, Faculty of Pharmacy, Helwan University, Cairo, Egypt.
| | - Heba Khaled
- Department of Biochemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Neveen Refaey
- Department of Physical Therapy for Women's Health, Faculty of Physical Therapy, Cairo University, Cairo, Egypt
| | - Shorouk Mohsen
- Public Health and Preventive Medicine Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Ola Ali El-Emam
- Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Nada Dawood
- Community Medicine Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Hebatalla A Ahmed
- Department of Public Health and Community Medicine, Faculty of Medicine, Kafr-Elsheikh University, Kafr-Elsheikh, Egypt
| | - Omar A Soliman
- Department of Clinical Pharmacy, Alexandria, University Main Teaching Hospital, Alexandria, Egypt
- Human Genetics Department, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - Sana Mostafa
- Oral Biology Department, Faculty of Dentistry, Cairo University, Cairo, Egypt
| | - Heba Ramadan
- Pharmacy Department, Agamy Medical District, Ministry of Health and Population, Agamy, Alexandria, Egypt
| | - Maha Mosa
- Otolaryngologist, Qeft Teaching Hospital, Qena, Egypt
| | | | | | - Ahmed Zaki
- Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mostafa Hussien
- Faculty of Medicine, Suez Canal University, Suez City, Ismailia Governorate, Egypt
| | - Ameer Ahmed
- Faculty of Medicine, Minia University, Minya, Egypt
| | | | - Fatma E Hassan
- Medical Physiology Department, Kasr Alainy, Faculty of Medicine, Cairo University, Giza, 11562, Egypt
- Department of Physiology, General Medicine Practice Program, Batterjee Medical College, 21442, Jeddah, Saudi Arabia
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Marjenberg Z, Leng S, Tascini C, Garg M, Misso K, El Guerche Seblain C, Shaikh N. Risk of long COVID main symptoms after SARS-CoV-2 infection: a systematic review and meta-analysis. Sci Rep 2023; 13:15332. [PMID: 37714919 PMCID: PMC10504382 DOI: 10.1038/s41598-023-42321-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 09/08/2023] [Indexed: 09/17/2023] Open
Abstract
This review aimed to summarise the relative risk (RR) of the main symptoms of long COVID in people infected with SARS-CoV-2 compared to uninfected controls, as well as the difference in health-related quality of life (HRQoL) after infection. MEDLINE, EMBASE, PubMed, NLM-LitCovid, WHO-COVID-19, arXiv and Europe-PMC were searched up to 23rd March 2022. Studies reporting risk (four or more weeks after infection) of fatigue, shortness of breath, and cognitive dysfunction, as well as comparative HRQoL outcomes, were included. Pairwise random-effects meta-analyses were performed to pool risks of individual symptoms. Thirty-three studies were identified; twenty studies reporting symptom risks were included in the meta-analyses. Overall, infection with SARS-CoV-2 carried significantly higher risk of fatigue (RR 1.72, 95% confidence intervals [CIs] 1.41, 2.10), shortness of breath (RR 2.60, 95% CIs 1.96, 3.44), memory difficulties (RR 2.53, 95% CIs 1.30, 4.93), and concentration difficulties (RR 2.14, 95% CIs 1.25, 3.67). Quality of life findings were varied and comparisons between studies were challenging due to different HRQoL instruments used and study heterogeneity, although studies indicated that severe hospitalised COVID is associated with a significantly poorer HRQoL after infection. These risks are likely to constantly change as vaccines, reinfections, and new variants alter global immunity.
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Affiliation(s)
- Zoe Marjenberg
- Maverex Ltd, Suite A, 168 Brinkburn Street, The Old Public Library, Newcastle Upon Tyne, NE6 2AR, UK.
| | - Sean Leng
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins Center on Aging and Immune Remodelling, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Carlo Tascini
- Infectious Diseases Clinic, Department of Medicine (DAME), Udine University, Udine, Italy
| | - Megha Garg
- Maverex Ltd, Suite A, 168 Brinkburn Street, The Old Public Library, Newcastle Upon Tyne, NE6 2AR, UK
| | - Kate Misso
- Maverex Ltd, Suite A, 168 Brinkburn Street, The Old Public Library, Newcastle Upon Tyne, NE6 2AR, UK
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Woodrow M, Carey C, Ziauddeen N, Thomas R, Akrami A, Lutje V, Greenwood DC, Alwan NA. Systematic Review of the Prevalence of Long COVID. Open Forum Infect Dis 2023; 10:ofad233. [PMID: 37404951 PMCID: PMC10316694 DOI: 10.1093/ofid/ofad233] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/28/2023] [Indexed: 07/06/2023] Open
Abstract
Background Long COVID occurs in those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) whose symptoms persist or develop beyond the acute phase. We conducted a systematic review to determine the prevalence of persistent symptoms, functional disability, or pathological changes in adults or children at least 12 weeks postinfection. Methods We searched key registers and databases from January 1, 2020 to November 2, 2021, limited to publications in English and studies with at least 100 participants. Studies in which all participants were critically ill were excluded. Long COVID was extracted as prevalence of at least 1 symptom or pathology, or prevalence of the most common symptom or pathology, at 12 weeks or later. Heterogeneity was quantified in absolute terms and as a proportion of total variation and explored across predefined subgroups (PROSPERO ID CRD42020218351). Results One hundred twenty studies in 130 publications were included. Length of follow-up varied between 12 weeks and 12 months. Few studies had low risk of bias. All complete and subgroup analyses except 1 had I2 ≥90%, with prevalence of persistent symptoms range of 0%-93% (pooled estimate [PE], 42.1%; 95% prediction interval [PI], 6.8% to 87.9%). Studies using routine healthcare records tended to report lower prevalence (PE, 13.6%; PI, 1.2% to 68%) of persistent symptoms/pathology than self-report (PE, 43.9%; PI, 8.2% to 87.2%). However, studies systematically investigating pathology in all participants at follow up tended to report the highest estimates of all 3 (PE, 51.7%; PI, 12.3% to 89.1%). Studies of hospitalized cases had generally higher estimates than community-based studies. Conclusions The way in which Long COVID is defined and measured affects prevalence estimation. Given the widespread nature of SARS-CoV-2 infection globally, the burden of chronic illness is likely to be substantial even using the most conservative estimates.
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Affiliation(s)
- Mirembe Woodrow
- Correspondence: N. A. Alwan, PhD, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK (); M. Woodrow, MSc, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK ()
| | - Charles Carey
- Manchester University NHS Foundation Trust and The University of Manchester, Manchester, United Kingdom
| | - Nida Ziauddeen
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- NIHR Applied Research Collaboration Wessex, Southampton, United Kingdom
| | | | - Athena Akrami
- Sainsbury Wellcome Centre, University College London, London, United Kingdom
- Patient-led Research Collaborative, Washington, District of Columbia, USA
| | - Vittoria Lutje
- Cochrane Infectious Diseases Group, Liverpool, United Kingdom
| | | | - Nisreen A Alwan
- Correspondence: N. A. Alwan, PhD, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK (); M. Woodrow, MSc, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK ()
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Singh TK, Zidar DA, McCrae K, Highland KB, Englund K, Cameron SJ, Chung MK. A Post-Pandemic Enigma: The Cardiovascular Impact of Post-Acute Sequelae of SARS-CoV-2. Circ Res 2023; 132:1358-1373. [PMID: 37167358 PMCID: PMC10171306 DOI: 10.1161/circresaha.122.322228] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
COVID-19 has become the first modern-day pandemic of historic proportion, affecting >600 million individuals worldwide and causing >6.5 million deaths. While acute infection has had devastating consequences, postacute sequelae of SARS-CoV-2 infection appears to be a pandemic of its own, impacting up to one-third of survivors and often causing symptoms suggestive of cardiovascular phenomena. This review will highlight the suspected pathophysiology of postacute sequelae of SARS-CoV-2, its influence on the cardiovascular system, and potential treatment strategies.
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Affiliation(s)
- Tamanna K Singh
- Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, OH (TKS, MC, SJC)
- Cleveland Clinic Lerner College of Medicine, OH (T.K.S., K.M., K.B.H., K.E., S.J.C., M.K.C.)
- Case Western Reserve University School of Medicine, Cleveland, OH (T.K.S., D.A.Z., K.M., K.B.H., K.E., S.J.C., M.K.C.)
| | - David A Zidar
- Case Western Reserve University School of Medicine, Cleveland, OH (T.K.S., D.A.Z., K.M., K.B.H., K.E., S.J.C., M.K.C.)
- Louise Stokes Cleveland Veterans Affairs Medical Center, Department of Cardiovascular Medicine, Cleveland, OH (D.A.Z.)
| | - Keith McCrae
- Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH (KM)
- Cleveland Clinic Lerner College of Medicine, OH (T.K.S., K.M., K.B.H., K.E., S.J.C., M.K.C.)
- Case Western Reserve University School of Medicine, Cleveland, OH (T.K.S., D.A.Z., K.M., K.B.H., K.E., S.J.C., M.K.C.)
| | - Kristin B Highland
- Pulmonary Medicine, Cleveland Clinic, Cleveland, OH (KBH)
- Cleveland Clinic Lerner College of Medicine, OH (T.K.S., K.M., K.B.H., K.E., S.J.C., M.K.C.)
- Case Western Reserve University School of Medicine, Cleveland, OH (T.K.S., D.A.Z., K.M., K.B.H., K.E., S.J.C., M.K.C.)
| | - Kristin Englund
- Infectious Disease, Cleveland Clinic, Cleveland, OH (KE)
- Cleveland Clinic Lerner College of Medicine, OH (T.K.S., K.M., K.B.H., K.E., S.J.C., M.K.C.)
- Case Western Reserve University School of Medicine, Cleveland, OH (T.K.S., D.A.Z., K.M., K.B.H., K.E., S.J.C., M.K.C.)
| | - Scott J Cameron
- Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, OH (TKS, MC, SJC)
- Cleveland Clinic Lerner College of Medicine, OH (T.K.S., K.M., K.B.H., K.E., S.J.C., M.K.C.)
- Case Western Reserve University School of Medicine, Cleveland, OH (T.K.S., D.A.Z., K.M., K.B.H., K.E., S.J.C., M.K.C.)
| | - Mina K Chung
- Cleveland Clinic Lerner College of Medicine, OH (T.K.S., K.M., K.B.H., K.E., S.J.C., M.K.C.)
- Case Western Reserve University School of Medicine, Cleveland, OH (T.K.S., D.A.Z., K.M., K.B.H., K.E., S.J.C., M.K.C.)
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Edlow AG, Castro VM, Shook LL, Haneuse S, Kaimal AJ, Perlis RH. Sex-Specific Neurodevelopmental Outcomes Among Offspring of Mothers With SARS-CoV-2 Infection During Pregnancy. JAMA Netw Open 2023; 6:e234415. [PMID: 36951861 PMCID: PMC10037162 DOI: 10.1001/jamanetworkopen.2023.4415] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 02/02/2023] [Indexed: 03/24/2023] Open
Abstract
Importance Prior studies using large registries have suggested a modest increase in risk for neurodevelopmental diagnoses among children of mothers with immune activation during pregnancy, and such risk may be sex-specific. Objective To determine whether in utero exposure to SARS-CoV-2 is associated with sex-specific risk for neurodevelopmental disorders up to 18 months after birth, compared with unexposed offspring born during or prior to the COVID-19 pandemic period. Design, Setting, and Participants This retrospective cohort study included the live offspring of all mothers who delivered between January 1 and December 31, 2018 (born and followed up before the COVID-19 pandemic), between March 1 and December 31, 2019 (born before and followed up during the COVID-19 pandemic), and between March 1, 2020, and May 31, 2021 (born and followed up during the COVID-19 pandemic). Offspring were born at any of 8 hospitals across 2 health systems in Massachusetts. Exposures Polymerase chain reaction evidence of maternal SARS-CoV-2 infection during pregnancy. Main Outcomes and Measures Electronic health record documentation of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnostic codes corresponding to neurodevelopmental disorders. Results The COVID-19 pandemic cohort included 18 355 live births (9399 boys [51.2%]), including 883 (4.8%) with maternal SARS-CoV-2 positivity during pregnancy. The cohort included 1809 Asian individuals (9.9%), 1635 Black individuals (8.9%), 12 718 White individuals (69.3%), and 1714 individuals (9.3%) who were of other race (American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, more than 1 race); 2617 individuals (14.3%) were of Hispanic ethnicity. Mean maternal age was 33.0 (IQR, 30.0-36.0) years. In adjusted regression models accounting for race, ethnicity, insurance status, hospital type (academic center vs community), maternal age, and preterm status, maternal SARS-CoV-2 positivity was associated with a statistically significant elevation in risk for neurodevelopmental diagnoses at 12 months among male offspring (adjusted OR, 1.94 [95% CI 1.12-3.17]; P = .01) but not female offspring (adjusted OR, 0.89 [95% CI, 0.39-1.76]; P = .77). Similar effects were identified using matched analyses in lieu of regression. At 18 months, more modest effects were observed in male offspring (adjusted OR, 1.42 [95% CI, 0.92-2.11]; P = .10). Conclusions and Relevance In this cohort study of offspring with SARS-CoV-2 exposure in utero, such exposure was associated with greater magnitude of risk for neurodevelopmental diagnoses among male offspring at 12 months following birth. As with prior studies of maternal infection, substantially larger cohorts and longer follow-up will be required to reliably estimate or refute risk.
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Affiliation(s)
- Andrea G. Edlow
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Victor M. Castro
- Center for Quantitative Health, Massachusetts General Hospital, Boston
- Research Information Science and Computing, Mass General Brigham, Somerville, Massachusetts
| | - Lydia L. Shook
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Sebastien Haneuse
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Anjali J. Kaimal
- Department of Obstetrics and Gynecology, University of South Florida College of Medicine, Tampa
| | - Roy H. Perlis
- Center for Quantitative Health, Massachusetts General Hospital, Boston
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston
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Edlow AG, Castro VM, Shook LL, Haneuse S, Kaimal AJ, Perlis RH. Sex-specific neurodevelopmental outcomes in offspring of mothers with SARS-CoV-2 in pregnancy: an electronic health records cohort. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.11.18.22282448. [PMID: 36415457 PMCID: PMC9681056 DOI: 10.1101/2022.11.18.22282448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Importance Prior studies using large registries suggested a modest increase in risk for neurodevelopmental diagnoses among children of mothers with immune activation during pregnancy, and such risk may be sex-specific. Objective To determine whether in utero exposure to the novel coronavirus SARS-CoV-2 is associated with sex-specific risk for neurodevelopmental disorders up to 18 months after birth, compared to unexposed offspring born during or prior to the pandemic period. Design Retrospective cohort. Participants Live offspring of all mothers who delivered between March 2018 and May 2021 at any of eight hospitals across two health systems in Massachusetts. Exposure PCR evidence of maternal SARS-CoV-2 infection during pregnancy. Main Outcome and Measures Electronic health record documentation of ICD-10 diagnostic codes corresponding to neurodevelopmental disorders. Results The pandemic cohort included 18,323 live births, including 877 (4.8%) to individuals with SARS-CoV-2 positivity during pregnancy. The cohort included 1806 (9.9%) Asian individuals, 1634 (8.9%) Black individuals, 1711 (9.3%) individuals of another race, and 12,694 (69%) White individuals; 2614 (14%) were of Hispanic ethnicity. Mean maternal age was 33.0 years (IQR 30.0-36.0). In adjusted regression models accounting for race, ethnicity, insurance status, hospital type (academic center vs. community), maternal age, and preterm status, SARS-CoV-2 positivity was associated with statistically significant elevation in risk for neurodevelopmental diagnoses among male offspring (adjusted OR 1.99, 95% CI 1.19-3.34; p=0.009) but not female offspring (adjusted OR 0.90, 95% CI 0.43-1.88; p=0.8). Similar effects were identified using matched analyses in lieu of regression. Conclusion and Relevance SARS-CoV-2 exposure in utero was associated with greater magnitude of risk for neurodevelopmental diagnoses among male offspring in the 12 months following birth. As with prior studies of maternal infection, substantially larger cohorts and longer follow-up will be required to reliably estimate or refute risk. Trial Registration NA. Key Points Question: Are rates of neurodevelopmental disorder diagnoses greater among male or female children with COVID-19 exposure in utero compared to those with no such exposure?Findings: In a cohort of 18,323 infants delivered after February 2020, males but not females born to mothers with a positive SARS-CoV-2 PCR test during pregnancy were more likely to receive a neurodevelopmental diagnosis in the first 12 months after delivery, even after accounting for preterm delivery.Meaning: These findings suggest that male offspring exposed to COVID-19 in utero may be at increased risk for neurodevelopmental disorders.
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Affiliation(s)
- Andrea G. Edlow
- Department of Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Victor M. Castro
- Center for Quantitative Health and Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Research Information Science and Computing, Mass General Brigham, Somerville, MA
| | - Lydia L. Shook
- Department of Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Sebastien Haneuse
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Anjali J. Kaimal
- Department of Obstetrics and Gynecology, University of South Florida College of Medicine, Tampa, FL
| | - Roy H. Perlis
- Center for Quantitative Health and Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA
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Coleman B, Casiraghi E, Callahan TJ, Blau H, Chan L, Laraway B, Clark KB, Reâ Em Y, Gersing KR, Wilkins K, Harris NL, Valentini G, Haendel MA, Reese J, Robinson PN. Post-COVID Phenotypic Manifestations are Associated with New-Onset Psychiatric Disease: Findings from the NIH N3C and RECOVER Studies. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.07.08.22277388. [PMID: 36380762 PMCID: PMC9645424 DOI: 10.1101/2022.07.08.22277388] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
UNLABELLED Acute COVID-19 infection can be followed by diverse clinical manifestations referred to as Post Acute Sequelae of SARS-CoV2 Infection (PASC). Studies have shown an increased risk of being diagnosed with new-onset psychiatric disease following a diagnosis of acute COVID-19. However, it was unclear whether non-psychiatric PASC-associated manifestations (PASC-AMs) are associated with an increased risk of new-onset psychiatric disease following COVID-19. A retrospective EHR cohort study of 1,603,767 individuals with acute COVID-19 was performed to evaluate whether non-psychiatric PASC-AMs are associated with new-onset psychiatric disease. Data were obtained from the National COVID Cohort Collaborative (N3C), which has EHR data from 65 clinical organizations. EHR codes were mapped to 151 non-psychiatric PASC-AMs recorded 28-120 days following SARS-CoV-2 diagnosis and before diagnosis of new-onset psychiatric disease. Association of newly diagnosed psychiatric disease with age, sex, race, pre-existing comorbidities, and PASC-AMs in seven categories was assessed by logistic regression. There was a significant association between six categories and newly diagnosed anxiety, mood, and psychotic disorders, with odds ratios highest for cardiovascular (1.35, 1.27-1.42) PASC-AMs. Secondary analysis revealed that the proportions of 95 individual clinical features significantly differed between patients diagnosed with different psychiatric disorders. Our study provides evidence for association between non-psychiatric PASC-AMs and the incidence of newly diagnosed psychiatric disease. Significant associations were found for features related to multiple organ systems. This information could prove useful in understanding risk stratification for new-onset psychiatric disease following COVID-19. Prospective studies are needed to corroborate these findings. FUNDING NCATS U24 TR002306.
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Perlis RH, Santillana M, Ognyanova K, Safarpour A, Lunz Trujillo K, Simonson MD, Green J, Quintana A, Druckman J, Baum MA, Lazer D. Prevalence and Correlates of Long COVID Symptoms Among US Adults. JAMA Netw Open 2022; 5:e2238804. [PMID: 36301542 PMCID: PMC9614581 DOI: 10.1001/jamanetworkopen.2022.38804] [Citation(s) in RCA: 178] [Impact Index Per Article: 89.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 09/12/2022] [Indexed: 11/25/2022] Open
Abstract
Importance Persistence of COVID-19 symptoms beyond 2 months, or long COVID, is increasingly recognized as a common sequela of acute infection. Objectives To estimate the prevalence of and sociodemographic factors associated with long COVID and to identify whether the predominant variant at the time of infection and prior vaccination status are associated with differential risk. Design, Setting, and Participants This cross-sectional study comprised 8 waves of a nonprobability internet survey conducted between February 5, 2021, and July 6, 2022, among individuals aged 18 years or older, inclusive of all 50 states and the District of Columbia. Main Outcomes and Measures Long COVID, defined as reporting continued COVID-19 symptoms beyond 2 months after the initial month of symptoms, among individuals with self-reported positive results of a polymerase chain reaction test or antigen test. Results The 16 091 survey respondents reporting test-confirmed COVID-19 illness at least 2 months prior had a mean age of 40.5 (15.2) years; 10 075 (62.6%) were women, and 6016 (37.4%) were men; 817 (5.1%) were Asian, 1826 (11.3%) were Black, 1546 (9.6%) were Hispanic, and 11 425 (71.0%) were White. From this cohort, 2359 individuals (14.7%) reported continued COVID-19 symptoms more than 2 months after acute illness. Reweighted to reflect national sociodemographic distributions, these individuals represented 13.9% of those who had tested positive for COVID-19, or 1.7% of US adults. In logistic regression models, older age per decade above 40 years (adjusted odds ratio [OR], 1.15; 95% CI, 1.12-1.19) and female gender (adjusted OR, 1.91; 95% CI, 1.73-2.13) were associated with greater risk of persistence of long COVID; individuals with a graduate education vs high school or less (adjusted OR, 0.67; 95% CI, 0.56-0.79) and urban vs rural residence (adjusted OR, 0.74; 95% CI, 0.64-0.86) were less likely to report persistence of long COVID. Compared with ancestral COVID-19, infection during periods when the Epsilon variant (OR, 0.81; 95% CI, 0.69-0.95) or the Omicron variant (OR, 0.77; 95% CI, 0.64-0.92) predominated in the US was associated with diminished likelihood of long COVID. Completion of the primary vaccine series prior to acute illness was associated with diminished risk for long COVID (OR, 0.72; 95% CI, 0.60-0.86). Conclusions and Relevance This study suggests that long COVID is prevalent and associated with female gender and older age, while risk may be diminished by completion of primary vaccination series prior to infection.
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Affiliation(s)
- Roy H. Perlis
- Department of Psychiatry, Massachusetts General Hospital, Boston
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Mauricio Santillana
- Department of Political Science, Northeastern University, Boston, Massachusetts
| | - Katherine Ognyanova
- Department of Communication, School of Communication and Information, Rutgers University, New Brunswick, New Jersey
| | - Alauna Safarpour
- Department of Political Science, Northeastern University, Boston, Massachusetts
- John F. Kennedy School of Government and Department of Government, Harvard University, Cambridge, Massachusetts
| | - Kristin Lunz Trujillo
- Department of Political Science, Northeastern University, Boston, Massachusetts
- John F. Kennedy School of Government and Department of Government, Harvard University, Cambridge, Massachusetts
| | | | - Jon Green
- Department of Political Science, Northeastern University, Boston, Massachusetts
| | - Alexi Quintana
- Department of Political Science, Northeastern University, Boston, Massachusetts
| | - James Druckman
- Department of Political Science, Northwestern University, Evanston, Illinois
| | - Matthew A. Baum
- John F. Kennedy School of Government and Department of Government, Harvard University, Cambridge, Massachusetts
| | - David Lazer
- Department of Political Science, Northeastern University, Boston, Massachusetts
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