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Valdivieso-Martinez B, Lopez-Sanchez V, Sauri I, Diaz J, Calderon JM, Gas-Lopez ME, Lidon L, Philibert J, Lopez-Hontangas JL, Navarro D, Cuenca L, Forner MJ, Redon J. Impact of Long SARS-CoV-2 Omicron Infection on the Health Care Burden: Comparative Case-Control Study Between Omicron and Pre-Omicron Waves. JMIR Public Health Surveill 2024; 10:e53580. [PMID: 39226091 DOI: 10.2196/53580] [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: 10/11/2023] [Revised: 03/17/2024] [Accepted: 05/23/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Following the initial acute phase of COVID-19, health care resource use has escalated among individuals with SARS-CoV-2 infection. OBJECTIVE This study aimed to compare new diagnoses of long COVID and the demand for health services in the general population after the Omicron wave with those observed during the pre-Omicron waves, using similar assessment protocols for both periods and to analyze the influence of vaccination. METHODS This matched retrospective case-control study included patients of both sexes diagnosed with acute SARS-CoV-2 infection using reverse transcription polymerase chain reaction or antigen tests in the hospital microbiology laboratory during the pandemic period regardless of whether the patients were hospitalized. We included patients of all ages from 2 health care departments that cover 604,000 subjects. The population was stratified into 2 groups, youths (<18 years) and adults (≥18 years). Patients were followed-up for 6 months after SARS-CoV-2 infection. Previous vaccination, new diagnoses, and the use of health care resources were recorded. Patients were compared with controls selected using a prospective score matched for age, sex, and the Charlson index. RESULTS A total of 41,577 patients with a history of prior COVID-19 infection were included, alongside an equivalent number of controls. This cohort encompassed 33,249 (80%) adults aged ≥18 years and 8328 (20%) youths aged <18 years. Our analysis identified 40 new diagnoses during the observation period. The incidence rate per 100 patients over a 6-month period was 27.2 for vaccinated and 25.1 for unvaccinated adults (P=.09), while among youths, the corresponding rates were 25.7 for vaccinated and 36.7 for unvaccinated individuals (P<.001). Overall, the incidence of new diagnoses was notably higher in patients compared to matched controls. Additionally, vaccinated patients exhibited a reduced incidence of new diagnoses, particularly among women (P<.001) and younger patients (P<.001) irrespective of the number of vaccine doses administered and the duration since the last dose. Furthermore, an increase in the use of health care resources was observed in both adult and youth groups, albeit with lower figures noted in vaccinated individuals. In the comparative analysis between the pre-Omicron and Omicron waves, the incidence of new diagnoses was higher in the former; however, distinct patterns of diagnosis were evident. Specifically, depressed mood (P=.03), anosmia (P=.003), hair loss (P<.001), dyspnea (<0.001), chest pain (P=.04), dysmenorrhea (P<.001), myalgia (P=.011), weakness (P<.001), and tachycardia (P=.015) were more common in the pre-Omicron period. Similarly, health care resource use, encompassing primary care, specialist, and emergency services, was more pronounced in the pre-Omicron wave. CONCLUSIONS The rise in new diagnoses following SARS-CoV-2 infection warrants attention due to its potential implications for health systems, which may necessitate the allocation of supplementary resources. The absence of vaccination protection presents a challenge to the health care system.
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Affiliation(s)
| | | | - Inma Sauri
- Hospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain
| | - Javier Diaz
- Hospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain
| | - Jose Miguel Calderon
- Hospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain
| | | | - Laura Lidon
- Hospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain
| | - Juliette Philibert
- Medical Research Institute, Hospital Universitari i Politècnic La Fe, Valencia, Spain
| | | | | | - Llanos Cuenca
- Universitat Politècnica de València, Valencia, Spain
| | | | - Josep Redon
- Hospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain
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Swift MD, Breeher LE, Dierkhising R, Hickman J, Johnson MG, Roellinger DL, Virk A. Association of COVID-19 Vaccination With Risk of Medically Attended Postacute Sequelae of COVID-19 During the Ancestral, Alpha, Delta, and Omicron Variant Eras. Open Forum Infect Dis 2024; 11:ofae495. [PMID: 39290777 PMCID: PMC11406745 DOI: 10.1093/ofid/ofae495] [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: 04/23/2024] [Accepted: 08/26/2024] [Indexed: 09/19/2024] Open
Abstract
Background Uncertainty exists regarding the effectiveness of COVID-19 vaccine to prevent postacute sequelae of COVID-19 (PASC) following a breakthrough infection. While most studies based on symptom surveys found an association between preinfection vaccination status and PASC symptoms, studies of medically attended PASC are less common and have reported conflicting findings. Methods In this retrospective cohort of patients with an initial SARS-CoV-2 infection who were continually empaneled for primary care in a large US health system, the electronic health record was queried for preinfection vaccination status, demographics, comorbidity index, and diagnosed conditions. Multivariable logistic regression was used to model the outcome of a medically attended PASC diagnosis within 6 months of SARS-CoV-2 infection. Likelihood ratio tests were used to assess the interaction between vaccination status and prevalent variant at the time of infection and between vaccination status and hospitalization for SARS-CoV-2 infection. Results During the observation period, 6.9% of patients experienced medically attended and diagnosed PASC. A diagnosis of PASC was associated with older age, female sex, hospitalization for the initial infection, and an increased severity-weighted comorbidity index and was inversely associated with infection during the Omicron period. No difference in the development of diagnosed PASC was observed between unvaccinated patients and those vaccinated with either 2 doses of an mRNA vaccine or >2 doses. Conclusions We found no association between vaccination status at the time of infection and development of medically diagnosed PASC. Vaccine remains an important measure to prevent SARS-CoV-2 infection and severity. Further research is needed to identify effective measures to prevent and treat PASC.
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Affiliation(s)
- Melanie D Swift
- Division of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Laura E Breeher
- Division of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Ross Dierkhising
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Joel Hickman
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Daniel L Roellinger
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Abinash Virk
- Division of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA
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El-Toukhy S, Hegeman P, Zuckerman G, Das AR, Moses N, Troendle J, Powell-Wiley TM. Study of Postacute Sequelae of COVID-19 Using Digital Wearables: Protocol for a Prospective Longitudinal Observational Study. JMIR Res Protoc 2024; 13:e57382. [PMID: 39150750 PMCID: PMC11364950 DOI: 10.2196/57382] [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: 02/15/2024] [Revised: 05/03/2024] [Accepted: 06/14/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Postacute sequelae of COVID-19 (PASC) remain understudied in nonhospitalized patients. Digital wearables allow for a continuous collection of physiological parameters such as respiratory rate and oxygen saturation that have been predictive of disease trajectories in hospitalized patients. OBJECTIVE This protocol outlines the design and procedures of a prospective, longitudinal, observational study of PASC that aims to identify wearables-collected physiological parameters that are associated with PASC in patients with a positive diagnosis. METHODS This is a single-arm, prospective, observational study of a cohort of 550 patients, aged 18 to 65 years, male or female, who own a smartphone or a tablet that meets predetermined Bluetooth version and operating system requirements, speak English, and provide documentation of a positive COVID-19 test issued by a health care professional within 5 days before enrollment. The primary end point is long COVID-19, defined as ≥1 symptom at 3 weeks beyond the first symptom onset or positive diagnosis, whichever comes first. The secondary end point is chronic COVID-19, defined as ≥1 symptom at 12 weeks beyond the first symptom onset or positive diagnosis. Participants must be willing and able to consent to participate in the study and adhere to study procedures for 6 months. RESULTS The first patient was enrolled in October 2021. The estimated year for publishing the study results is 2025. CONCLUSIONS This is a fully decentralized study investigating PASC using wearable devices to collect physiological parameters and patient-reported outcomes. The study will shed light on the duration and symptom manifestation of PASC in nonhospitalized patient subgroups and is an exemplar of the use of wearables as population-level monitoring health tools for communicable diseases. TRIAL REGISTRATION ClinicalTrials.gov NCT04927442; https://clinicaltrials.gov/study/NCT04927442. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/57382.
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Affiliation(s)
- Sherine El-Toukhy
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States
| | - Phillip Hegeman
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States
| | - Gabrielle Zuckerman
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States
| | | | - Nia Moses
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States
| | - James Troendle
- Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Tiffany M Powell-Wiley
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States
- Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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Lin K, Cai J, Guo J, Zhang H, Sun G, Wang X, Zhu K, Xue Q, Zhu F, Wang P, Yuan G, Sun Y, Wang S, Ai J, Zhang W. Multi-omics landscapes reveal heterogeneity in long COVID patients characterized with enhanced neutrophil activity. J Transl Med 2024; 22:753. [PMID: 39135185 PMCID: PMC11318262 DOI: 10.1186/s12967-024-05560-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/30/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Omicron variant impacts populations with its rapid contagiousness, and part of patients suffered from persistent symptoms termed as long COVID. The molecular and immune mechanisms of this currently dominant global variant leading to long COVID remain unclear, due to long COVID heterogeneity across populations. METHODS We recruited 66 participants in total, 22 out of 66 were healthy control without COVID-19 infection history, and 22 complaining about long COVID symptoms 6 months after first infection of Omicron, referred as long COVID (LC) Group. The left ones were defined as non-long COVID (NLC) Group. We profiled them via plasma neutralizing antibody titer, SARS-CoV-2 viral load, transcriptomic and proteomics screening, and machine learning. RESULTS No serum residual SARS-CoV-2 was observed in the participants 6 months post COVID-19 infection. No significant difference in neutralizing antibody titers was found between the long COVID (LC) Group and the non-long COVID (NLC) Group. Transcriptomic and proteomic profiling allow the stratification of long COVID into neutrophil function upregulated (NU-LC) and downregulated types (ND-LC). The NU-LC, identifiable through a refined set of 5 blood gene markers (ABCA13, CEACAM6, CRISP3, CTSG and BPI), displays evidence of relatively higher neutrophil counts and function of degranulation than the ND-LC at 6 months after infection, while recovered at 12 months post COVID-19. CONCLUSION The transcriptomic and proteomic profiling revealed heterogeneity among long COVID patients. We discovered a subgroup of long COVID population characterized by neutrophil activation, which might associate with the development of psychiatric symptoms and indicate a higher inflammatory state. Meanwhile, a cluster of 5 genes was manually curated as the most potent discriminators of NU-LC from long COVID population. This study can serve as a foundational exploration of the heterogeneity in the pathogenesis of long COVID and assist in therapeutic targeting and detailed epidemiological investigation of long COVID.
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Affiliation(s)
- Ke Lin
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jianpeng Cai
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jingxin Guo
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, China
- Institute of Infection and Health, Fudan University, Shanghai, China
| | - Haocheng Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Gangqiang Sun
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xun Wang
- Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai Institute of Infectious Disease and Biosecurity, State Key Laboratory of Genetic Engineering, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, China
| | - Kun Zhu
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Quanlin Xue
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Feng Zhu
- Department of Respiratory and Critical Care Medicine, Affiliated Wuxi Fifth Hospital of Jiangnan University, Wuxi Fifth People's Hospital, Wuxi, People's Republic of China
| | - Pengfei Wang
- Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai Institute of Infectious Disease and Biosecurity, State Key Laboratory of Genetic Engineering, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, China
| | - Guanmin Yuan
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuhan Sun
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Sen Wang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, China.
- Institute of Infection and Health, Fudan University, Shanghai, China.
| | - Jingwen Ai
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, China.
- Institute of Infection and Health, Fudan University, Shanghai, China.
| | - Wenhong Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, China
- Institute of Infection and Health, Fudan University, Shanghai, China
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Shafqat A, Masters MC, Tripathi U, Tchkonia T, Kirkland JL, Hashmi SK. Long COVID as a disease of accelerated biological aging: An opportunity to translate geroscience interventions. Ageing Res Rev 2024; 99:102400. [PMID: 38945306 DOI: 10.1016/j.arr.2024.102400] [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: 04/21/2024] [Revised: 06/12/2024] [Accepted: 06/27/2024] [Indexed: 07/02/2024]
Abstract
It has been four years since long COVID-the protracted consequences that survivors of COVID-19 face-was first described. Yet, this entity continues to devastate the quality of life of an increasing number of COVID-19 survivors without any approved therapy and a paucity of clinical trials addressing its biological root causes. Notably, many of the symptoms of long COVID are typically seen with advancing age. Leveraging this similarity, we posit that Geroscience-which aims to target the biological drivers of aging to prevent age-associated conditions as a group-could offer promising therapeutic avenues for long COVID. Bearing this in mind, this review presents a translational framework for studying long COVID as a state of effectively accelerated biological aging, identifying research gaps and offering recommendations for future preclinical and clinical studies.
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Affiliation(s)
- Areez Shafqat
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
| | - Mary Clare Masters
- Division of Infectious Diseases, Northwestern University, Chicago, IL, USA
| | - Utkarsh Tripathi
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA
| | - Tamara Tchkonia
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - James L Kirkland
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA; Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Shahrukh K Hashmi
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA; Research and Innovation Center, Department of Health, Abu Dhabi, UAE; College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates
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Takamatsu A, Honda H, Miwa T, Tabuchi T, Taniguchi K, Shibuya K, Tokuda Y. Prevalence and trends in persistent symptoms following COVID-19 in Japan: A nationwide cross-sectional survey. J Infect Chemother 2024; 30:725-733. [PMID: 38346670 DOI: 10.1016/j.jiac.2024.02.008] [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: 11/02/2023] [Revised: 01/12/2024] [Accepted: 02/05/2024] [Indexed: 02/17/2024]
Abstract
INTRODUCTION Even during the endemic phase of the COVID-19 pandemic, the impact of persistent symptoms on patients and healthcare systems remains significant. Thus, a more comprehensive understanding of these symptoms is essential. METHODS Using data from the Japan Society and New Tobacco Internet Survey conducted in February 2023, this cross-sectional study investigated the prevalence of, and changes in, persistent COVID-19 symptoms. RESULTS In total, 21,108 individuals responded to the survey. Of these, 29.1 % (6143) had a history of COVID-19. Our analysis found that arm/leg/joint pain (adjusted odds ratio [aOR]: 1.17; 95 % confidence interval [95 % CI]: 1.03-1.33), back pain (aOR: 1.13; 95 % CI: 1.01-1.27), chest pain (aOR: 1.53; 95 % CI: 1.20-1.96), malaise (aOR: 1.14; 95 % CI: 1.02-1.28), loss of taste (aOR: 2.55; 95 % CI: 1.75-3.72), loss of smell (aOR: 2.33; 95 % CI: 1.67-3.26), memory impairment (aOR: 1.27; 95 % CI: 1.04-1.56), and cough (aOR: 1.72; 95 % CI: 1.38-2.13) were independently associated with a history of COVID-19 contracted more than two months but less than six months previously. Further, back pain (aOR: 1.24; 95 % CI: 1.04-1.47) and loss of taste (aOR: 2.28; 95 % CI: 1.24-4.21) showed independent association with COVID-19 contracted more than 12 months previously. CONCLUSIONS Various symptoms were independently associated with a history of COVID-19. While most patients tend to recover within a year after contracting COVID-19, certain symptoms, such as back pain and loss of taste, persist longer than a year, underscoring public health concerns and emphasizing the need for health care services to support patients suffering from persistent symptoms.
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Affiliation(s)
- Akane Takamatsu
- Graduate School of Public Health, St. Luke's International University, Tokyo, Japan
| | - Hitoshi Honda
- Department of Infectious Diseases, Fujita Health University School of Medicine, Aichi, Japan
| | - Toshiki Miwa
- Department of Infectious Diseases, University of Tokyo Hospital, Tokyo, Japan
| | - Takahiro Tabuchi
- Tokyo Foundation for Policy Research, Tokyo, Japan; Cancer Control Center, Osaka International Cancer Institute, Osaka, Japan
| | - Kiyosu Taniguchi
- Tokyo Foundation for Policy Research, Tokyo, Japan; National Hospital Organization, Mie Medical Center, Mie, Japan
| | | | - Yasuharu Tokuda
- Tokyo Foundation for Policy Research, Tokyo, Japan; Muribushi Okinawa Center for Teaching Hospitals, Okinawa, Japan.
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McClelland AC, Benitez SJ, Burns J. COVID-19 Neuroimaging Update: Pathophysiology, Acute Findings, and Post-Acute Developments. Semin Ultrasound CT MR 2024; 45:318-331. [PMID: 38518814 DOI: 10.1053/j.sult.2024.03.003] [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: 03/24/2024]
Abstract
COVID-19 has prominent effects on the nervous system with important manifestations on neuroimaging. In this review, we discuss the neuroimaging appearance of acute COVID-19 that became evident during the early stages of the pandemic. We highlight the underlying pathophysiology mediating nervous system effects and neuroimaging appearances including systemic inflammatory response such as cytokine storm, coagulopathy, and para/post-infections immune mediated phenomena. We also discuss the nervous system manifestations of COVID-19 and the role of imaging as the pandemic has evolved over time, including related to the development of vaccines and the emergence of post-acute sequalae such as long COVID.
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Affiliation(s)
| | - Steven J Benitez
- Department of Radiology, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Judah Burns
- Department of Radiology, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
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Tsai TY, Wu JF, Weng MT, Chuang CH, Huang TY, Tai WC, Tai CM, Chung CS, Chen CC, Lin CP, Tsai YY, Wei SC. Exacerbated gastrointestinal symptoms and long COVID in IBD patients with SARS-CoV-2 infection: A multi-center study from taiwan. J Formos Med Assoc 2024; 123:866-874. [PMID: 38553294 DOI: 10.1016/j.jfma.2024.03.016] [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: 11/21/2023] [Revised: 03/09/2024] [Accepted: 03/18/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND/PURPOSE Limited studies have addressed the exacerbation of symptoms and long COVID in inflammatory bowel disease (IBD) patients following non-severe COVID-19 infection, particularly with post-COVID-19 vaccination. We aim to investigate factors associated with exacerbated gastrointestinal symptoms (EGS) and long COVID in IBD patients with non-severe COVID-19, which is most common situation in daily practice. METHODS This is an observational study by multiple centers in Taiwan from May 2020 to March 2023. We collected clinical manifestation, data, and medication information from IBD patients with non-severe COVID-19. EGS was defined as increased frequency of diarrhea, bloody stool, and abdomen pain within 14 days after SARS-COV-2 infection. Long COVID was defined following the guidelines of the World Health Organization. RESULTS Out of 90 patients, most of them (88.9%) received at least standard two doses of COVID-19 vaccination and the majority (87.8%) were mild diseases of COVID-19.30% of patients experienced EGS during COVID-19 with higher ESR levels serving as a predictive factor (Odds ratio: 3.6, 95% confidence interval: 1.2-10.5, P = 0.02). 38.1% of those patients developed long COVID. The patients who experienced EGS during COVID-19 and with a history of longer IBD duration showed a significant association with long COVID (p = 0.03 and p = 0.02). CONCLUSION Our study revealed that EGS and long COVID occurred in one third of IBD patients with non-severe COVID-19, even though most of them had received the standard plus booster vaccination. We identified associated factors for EGS and long COVID, emphasizing the importance of post-COVID-19 follow-up in IBD patients.
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Affiliation(s)
- Tsung-Yu Tsai
- Center for Digestive Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan; School of Medicine, China Medical University, Taichung, Taiwan; Center for Translational Genomics & Regenerative Medicine Research, China Medical University Hospital, Taichung, Taiwan
| | - Jia-Feng Wu
- Department of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan
| | - Meng-Tzu Weng
- Department of Medical Research, National Taiwan University Hospital, Hsin-Chu Branch, Hsinchu, Taiwan; Division of Gastroenterology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chiao-Hsiung Chuang
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Tien-Yu Huang
- Division of Gastroenterology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Wei-Chen Tai
- Division of Gastroenterology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Chi-Ming Tai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan; School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Chen-Shuan Chung
- Division for Gastroenterology and Hepatology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Chih-Cheng Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan; Division of Gastroenterology and Hepatology, Internal Medicine, E-Da Cancer Hospital, I-Shou University, Kaohsiung, Taiwan; The School of Chinese Medicine for Post Baccalaureate, I-Shou University, Kaohsiung, Taiwan
| | - Ching-Pin Lin
- Division of Gastroenterology, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Yuan-Yao Tsai
- Department of Colorectal Surgery, China Medical University Hospital, Taichung, Taiwan
| | - Shu-Chen Wei
- Division of Gastroenterology, National Taiwan University Hospital, Taipei, Taiwan.
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Balnis J, Madrid A, Drake LA, Vancavage R, Tiwari A, Patel VJ, Ramos RB, Schwarz JJ, Yucel R, Singer HA, Alisch RS, Jaitovich A. Blood DNA methylation in post-acute sequelae of COVID-19 (PASC): a prospective cohort study. EBioMedicine 2024; 106:105251. [PMID: 39024897 PMCID: PMC11286994 DOI: 10.1016/j.ebiom.2024.105251] [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: 04/19/2024] [Revised: 07/02/2024] [Accepted: 07/03/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND DNA methylation integrates environmental signals with transcriptional programs. COVID-19 infection induces changes in the host methylome. While post-acute sequelae of COVID-19 (PASC) is a long-term complication of acute illness, its association with DNA methylation is unknown. No universal blood marker of PASC, superseding single organ dysfunctions, has yet been identified. METHODS In this single centre prospective cohort study, PASC, post-COVID without PASC, and healthy participants were enrolled to investigate their symptoms association with peripheral blood DNA methylation data generated with state-of-the-art whole genome sequencing. PASC-induced quality-of-life deterioration was scored with a validated instrument, SF-36. Analyses were conducted to identify potential functional roles of differentially methylated loci, and machine learning algorithms were used to resolve PASC severity. FINDINGS 103 patients with PASC (22.3% male, 77.7% female), 15 patients with previous COVID-19 infection but no PASC (40.0% male, 60.0% female), and 27 healthy volunteers (48.1% male, 51.9% female) were enrolled. Whole genome methylation sequencing revealed 39 differentially methylated regions (DMRs) specific to PASC, each harbouring an average of 15 consecutive positions, that differentiate patients with PASC from the two control groups. Motif analyses of PASC-regulated DMRs identify binding domains for transcription factors regulating circadian rhythm and others. Some DMRs annotated to protein coding genes were associated with changes of RNA expression. Machine learning support vector algorithm and random forest hierarchical clustering reveal 28 unique differentially methylated positions (DMPs) in the genome discriminating patients with better and worse quality of life. INTERPRETATION Blood DNA methylation levels identify PASC, stratify PASC severity, and suggest that DNA motifs are targeted by circadian rhythm-regulating pathways in PASC. FUNDING This project has been funded by the following agencies: NIH-AI173035 (A. Jaitovich and R. Alisch); and NIH-AG066179 (R. Alisch).
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Affiliation(s)
- Joseph Balnis
- Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY, USA; Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, USA
| | - Andy Madrid
- Department of Neurological Surgery, University of Wisconsin, Madison, WI, USA
| | - Lisa A Drake
- Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY, USA; Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, USA
| | - Rachel Vancavage
- Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY, USA
| | - Anupama Tiwari
- Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY, USA
| | - Vraj J Patel
- Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY, USA
| | - Ramon Bossardi Ramos
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, USA
| | - John J Schwarz
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, USA
| | - Recai Yucel
- Department of Epidemiology and Biostatistics, Temple University, PA, USA
| | - Harold A Singer
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, USA
| | - Reid S Alisch
- Department of Neurological Surgery, University of Wisconsin, Madison, WI, USA
| | - Ariel Jaitovich
- Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY, USA; Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, USA.
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10
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Preiss A, Bhatia A, Aragon LV, Baratta JM, Baskaran M, Blancero F, Brannock MD, Chew RF, Diaz I, Fitzgerald M, Kelly EP, Zhou AG, Carton TW, Chute CG, Haendel M, Moffitt R, Pfaff E. Effect of Paxlovid Treatment During Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER Consortia. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.20.24301525. [PMID: 38343863 PMCID: PMC10854326 DOI: 10.1101/2024.01.20.24301525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Preventing and treating post-acute sequelae of SARS-CoV-2 infection (PASC), commonly known as Long COVID, has become a public health priority. In this study, we examined whether treatment with Paxlovid in the acute phase of COVID-19 helps prevent the onset of PASC. We used electronic health records from the National Covid Cohort Collaborative (N3C) to define a cohort of 426,352 patients who had COVID-19 since April 1, 2022, and were eligible for Paxlovid treatment due to risk for progression to severe COVID-19. We used the target trial emulation (TTE) framework to estimate the effect of Paxlovid treatment on PASC incidence. We estimated overall PASC incidence using a computable phenotype. We also measured the onset of novel cognitive, fatigue, and respiratory symptoms in the post-acute period. Paxlovid treatment did not have a significant effect on overall PASC incidence (relative risk [RR] = 0.98, 95% confidence interval [CI] 0.95-1.01). However, it had a protective effect on cognitive (RR = 0.90, 95% CI 0.84-0.96) and fatigue (RR = 0.95, 95% CI 0.91-0.98) symptom clusters, which suggests that the etiology of these symptoms may be more closely related to viral load than that of respiratory symptoms.
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11
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Bruno AM, Zang C, Xu Z, Wang F, Weiner MG, Guthe N, Fitzgerald M, Kaushal R, Carton TW, Metz TD. Association between acquiring SARS-CoV-2 during pregnancy and post-acute sequelae of SARS-CoV-2 infection: RECOVER electronic health record cohort analysis. EClinicalMedicine 2024; 73:102654. [PMID: 38828129 PMCID: PMC11137338 DOI: 10.1016/j.eclinm.2024.102654] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/01/2024] [Accepted: 05/07/2024] [Indexed: 06/05/2024] Open
Abstract
Background Little is known about post-acute sequelae of SARS-CoV-2 infection (PASC) after acquiring SARS-CoV-2 infection during pregnancy. We aimed to evaluate the association between acquiring SARS-CoV-2 during pregnancy compared with acquiring SARS-CoV-2 outside of pregnancy and the development of PASC. Methods This retrospective cohort study from the Researching COVID to Enhance Recovery (RECOVER) Initiative Patient-Centred Clinical Research Network (PCORnet) used electronic health record (EHR) data from 19 U.S. health systems. Females aged 18-49 years with lab-confirmed SARS-CoV-2 infection from March 2020 through June 2022 were included. Validated algorithms were used to identify pregnancies with a delivery at >20 weeks' gestation. The primary outcome was PASC, as previously defined by computable phenotype in the adult non-pregnant PCORnet EHR dataset, identified 30-180 days post-SARS-CoV-2 infection. Secondary outcomes were the 24 component diagnoses contributing to the PASC phenotype definition. Univariable comparisons were made for baseline characteristics between individuals with SARS-CoV-2 infection acquired during pregnancy compared with outside of pregnancy. Using inverse probability of treatment weighting to adjust for baseline differences, the association between SARS-CoV-2 infection acquired during pregnancy and the selected outcomes was modelled. The incident risk is reported as the adjusted hazard ratio (aHR) with 95% confidence intervals. Findings In total, 83,915 females with SARS-CoV-2 infection acquired outside of pregnancy and 5397 females with SARS-CoV-2 infection acquired during pregnancy were included in analysis. Non-pregnant females with SARS-CoV-2 infection were more likely to be older and have comorbid health conditions. SARS-CoV-2 infection acquired in pregnancy as compared with acquired outside of pregnancy was associated with a lower incidence of PASC (25.5% vs 33.9%; aHR 0.85, 95% CI 0.80-0.91). SARS-CoV-2 infection acquired in pregnant females was associated with increased risk for some PASC component diagnoses including abnormal heartbeat (aHR 1.67, 95% CI 1.43-1.94), abdominal pain (aHR 1.34, 95% CI 1.16-1.55), and thromboembolism (aHR 1.88, 95% CI 1.17-3.04), but decreased risk for other diagnoses including malaise (aHR 0.35, 95% CI 0.27-0.47), pharyngitis (aHR 0.36, 95% CI 0.26-0.48) and cognitive problems (aHR 0.39, 95% CI 0.27-0.56). Interpretation SARS-CoV-2 infection acquired during pregnancy was associated with lower risk of development of PASC at 30-180 days after incident SARS-CoV-2 infection in this nationally representative sample. These findings may be used to counsel pregnant and pregnant capable individuals, and direct future prospective study. Funding National Institutes of Health (NIH) Other Transaction Agreement (OTA) OT2HL16184.
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Affiliation(s)
- Ann M. Bruno
- Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, UT, USA
| | - Chengxi Zang
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Zhengxing Xu
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Fei Wang
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Mark G. Weiner
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Nick Guthe
- RECOVER Patient, Caregiver, or Community Advocate Representative, New York, NY, USA
| | - Megan Fitzgerald
- RECOVER Patient, Caregiver, or Community Advocate Representative, New York, NY, USA
| | - Rainu Kaushal
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | | | - Torri D. Metz
- Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, UT, USA
| | - RECOVER EHR Cohort
- Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, UT, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
- RECOVER Patient, Caregiver, or Community Advocate Representative, New York, NY, USA
- Louisiana Public Health Institute, New Orleans, LA, USA
| | - the RECOVER Pregnancy Cohort
- Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, UT, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
- RECOVER Patient, Caregiver, or Community Advocate Representative, New York, NY, USA
- Louisiana Public Health Institute, New Orleans, LA, USA
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12
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Vanderheiden A, Hill JD, Jiang X, Deppen B, Bamunuarachchi G, Soudani N, Joshi A, Cain MD, Boon ACM, Klein RS. Vaccination reduces central nervous system IL-1β and memory deficits after COVID-19 in mice. Nat Immunol 2024; 25:1158-1171. [PMID: 38902519 DOI: 10.1038/s41590-024-01868-z] [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: 11/21/2023] [Accepted: 05/13/2024] [Indexed: 06/22/2024]
Abstract
Up to 25% of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exhibit postacute cognitive sequelae. Although millions of cases of coronavirus disease 2019 (COVID-19)-mediated memory dysfunction are accumulating worldwide, the underlying mechanisms and how vaccination lowers risk are unknown. Interleukin-1 (IL-1), a key component of innate immune defense against SARS-CoV-2 infection, is elevated in the hippocampi of individuals with COVID-19. Here we show that intranasal infection of C57BL/6J mice with SARS-CoV-2 Beta variant leads to central nervous system infiltration of Ly6Chi monocytes and microglial activation. Accordingly, SARS-CoV-2, but not H1N1 influenza virus, increases levels of brain IL-1β and induces persistent IL-1R1-mediated loss of hippocampal neurogenesis, which promotes postacute cognitive deficits. Vaccination with a low dose of adenoviral-vectored spike protein prevents hippocampal production of IL-1β during breakthrough SARS-CoV-2 infection, loss of neurogenesis and subsequent memory deficits. Our study identifies IL-1β as one potential mechanism driving SARS-CoV-2-induced cognitive impairment in a new mouse model that is prevented by vaccination.
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Affiliation(s)
- Abigail Vanderheiden
- Center for Neuroimmunology and Neuroinfectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Jeremy D Hill
- Center for Neuroimmunology and Neuroinfectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Xiaoping Jiang
- Center for Neuroimmunology and Neuroinfectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Ben Deppen
- Center for Neuroimmunology and Neuroinfectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Gayan Bamunuarachchi
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Nadia Soudani
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Astha Joshi
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew D Cain
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Adrianus C M Boon
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Robyn S Klein
- Schulich School of Medicine and Dentistry, Department of Microbiology and Immunology, Western University, London, Ontario, Canada.
- Schulich School of Medicine and Dentistry, Western Institute of Neuroscience, Western University, London, Ontario, Canada.
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13
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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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14
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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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15
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Parkin A, Rayner C, Mir G, O'Connor RJ. Vocational rehabilitation for Long Covid: a roadmap for recovery. Occup Med (Lond) 2024; 74:262-265. [PMID: 38860630 DOI: 10.1093/occmed/kqae020] [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: 06/12/2024] Open
Abstract
Long Covid continues to impact many people’s workability; some have lived with it for years, experiencing return-to-work attempts followed by redeployment, contractual changes—even capability proceedings. For those in low-paid work or self-employment, contractual or financial insecurity, work retention options are likely to be reduced even further. New cases of Long Covid continue, and the need to support workers earlier in their trajectory with return to work as a key outcome remains crucial. Support for people with Long Covid has been lacking to date; here we introduce a practical tool that can be utilized by rehabilitation and occupational health professionals alike.
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Affiliation(s)
- A Parkin
- Academic Department of Rehabilitation Medicine, University of Leeds, Leeds, UK
- National Demonstration Centre in Rehabilitation, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - C Rayner
- Person with Long COVID, LOCOMOTION Patient Advisory Group Co-Lead, Leeds, UK
| | - G Mir
- The University of Leeds, Leeds, UK
| | - R J O'Connor
- Academic Department of Rehabilitation Medicine, University of Leeds, Leeds, UK
- National Demonstration Centre in Rehabilitation, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- NIHR Devices for Dignity MedTech Co-operative, Royal Hallamshire Hospital, Sheffield, UK
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16
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Oelsner EC, Sun Y, Balte PP, Allen NB, Andrews H, Carson A, Cole SA, Coresh J, Couper D, Cushman M, Daviglus M, Demmer RT, Elkind MSV, Gallo LC, Gutierrez JD, Howard VJ, Isasi CR, Judd SE, Kanaya AM, Kandula NR, Kaplan RC, Kinney GL, Kucharska-Newton AM, Lackland DT, Lee JS, Make BJ, Min YI, Murabito JM, Norwood AF, Ortega VE, Pettee Gabriel K, Psaty BM, Regan EA, Sotres-Alvarez D, Schwartz D, Shikany JM, Thyagarajan B, Tracy RP, Umans JG, Vasan RS, Wenzel SE, Woodruff PG, Xanthakis V, Zhang Y, Post WS. Epidemiologic Features of Recovery From SARS-CoV-2 Infection. JAMA Netw Open 2024; 7:e2417440. [PMID: 38884994 PMCID: PMC11184459 DOI: 10.1001/jamanetworkopen.2024.17440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/17/2024] [Indexed: 06/18/2024] Open
Abstract
Importance Persistent symptoms and disability following SARS-CoV-2 infection, known as post-COVID-19 condition or "long COVID," are frequently reported and pose a substantial personal and societal burden. Objective To determine time to recovery following SARS-CoV-2 infection and identify factors associated with recovery by 90 days. Design, Setting, and Participants For this prospective cohort study, standardized ascertainment of SARS-CoV-2 infection was conducted starting in April 1, 2020, across 14 ongoing National Institutes of Health-funded cohorts that have enrolled and followed participants since 1971. This report includes data collected through February 28, 2023, on adults aged 18 years or older with self-reported SARS-CoV-2 infection. Exposure Preinfection health conditions and lifestyle factors assessed before and during the pandemic via prepandemic examinations and pandemic-era questionnaires. Main Outcomes and Measures Probability of nonrecovery by 90 days and restricted mean recovery times were estimated using Kaplan-Meier curves, and Cox proportional hazards regression was performed to assess multivariable-adjusted associations with recovery by 90 days. Results Of 4708 participants with self-reported SARS-CoV-2 infection (mean [SD] age, 61.3 [13.8] years; 2952 women [62.7%]), an estimated 22.5% (95% CI, 21.2%-23.7%) did not recover by 90 days post infection. Median (IQR) time to recovery was 20 (8-75) days. By 90 days post infection, there were significant differences in restricted mean recovery time according to sociodemographic, clinical, and lifestyle characteristics, particularly by acute infection severity (outpatient vs critical hospitalization, 32.9 days [95% CI, 31.9-33.9 days] vs 57.6 days [95% CI, 51.9-63.3 days]; log-rank P < .001). Recovery by 90 days post infection was associated with vaccination prior to infection (hazard ratio [HR], 1.30; 95% CI, 1.11-1.51) and infection during the sixth (Omicron variant) vs first wave (HR, 1.25; 95% CI, 1.06-1.49). These associations were mediated by reduced severity of acute infection (33.4% and 17.6%, respectively). Recovery was unfavorably associated with female sex (HR, 0.85; 95% CI, 0.79-0.92) and prepandemic clinical cardiovascular disease (HR, 0.84; 95% CI, 0.71-0.99). No significant multivariable-adjusted associations were observed for age, educational attainment, smoking history, obesity, diabetes, chronic kidney disease, asthma, chronic obstructive pulmonary disease, or elevated depressive symptoms. Results were similar for reinfections. Conclusions and Relevance In this cohort study, more than 1 in 5 adults did not recover within 3 months of SARS-CoV-2 infection. Recovery within 3 months was less likely in women and those with preexisting cardiovascular disease and more likely in those with COVID-19 vaccination or infection during the Omicron variant wave.
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Affiliation(s)
- Elizabeth C. Oelsner
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Yifei Sun
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York
| | - Pallavi P. Balte
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Norrina B. Allen
- Center for Epidemiology and Population Health, Northwestern Feinberg School of Medicine, Chicago, Illinois
| | - Howard Andrews
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York
| | - April Carson
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | | | - Josef Coresh
- Departments of Medicine and Public Health, NYU Grossman School of Medicine, New York, New York
| | - David Couper
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina, Chapel Hill
| | - Mary Cushman
- Division of Hematology/Oncology, Department of Medicine, Larner School of Medicine, University of Vermont, Burlington
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago
| | - Ryan T. Demmer
- Division of Epidemiology, Department of Quantitative Health Sciences, College of Medicine and Science, Mayo Clinic, Rochester, Minnesota
| | - Mitchell S. V. Elkind
- Department of Neurology, Columbia University Irving Medical Center, New York, New York
- American Heart Association, Dallas, Texas
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, California
| | - Jose D. Gutierrez
- Department of Neurology, Columbia University Irving Medical Center, New York, New York
| | - Virginia J. Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Suzanne E. Judd
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Alka M. Kanaya
- Departments of Medicine, Epidemiology, and Biostatistics, University of California, San Francisco
| | - Namratha R. Kandula
- Center for Epidemiology and Population Health, Northwestern Feinberg School of Medicine, Chicago, Illinois
- Department of Medicine, Northwestern Feinberg School of Medicine, Chicago, Illinois
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | | | | | - Daniel T. Lackland
- Department of Neurology, Medical University of South Carolina, Charleston
| | - Joyce S. Lee
- Division of Pulmonary and Critical Care, Department of Medicine, University of Colorado, Aurora
| | - Barry J. Make
- Division of Pulmonary, Critical Care and Sleep, Department of Medicine, National Jewish Health, Denver, Colorado
| | - Yuan-I. Min
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | | | - Arnita F. Norwood
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Victor E. Ortega
- Division of Pulmonary Medicine, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | - Kelley Pettee Gabriel
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Bruce M. Psaty
- Departments of Epidemiology and Medicine, University of Washington, Seattle
| | - Elizabeth A. Regan
- Division of Rheumatology, Department of Medicine, National Jewish Health, Denver, Colorado
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina, Chapel Hill
| | - David Schwartz
- Division of Pulmonary and Critical Care, Department of Medicine, University of Colorado, Aurora
| | - James M. Shikany
- Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington
| | - Jason G. Umans
- MedStar Health Research Institute, School of Medicine, Georgetown University, Washington, District of Columbia
| | | | - Sally E. Wenzel
- Department of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pittsburgh, Pennsylvania
| | - Prescott G. Woodruff
- Divison of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of California, San Francisco
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ying Zhang
- Departments of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City
| | - Wendy S. Post
- Division of Cardiology, Departments of Medicine and Epidemiology, Johns Hopkins University, Baltimore, Maryland
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17
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Hosozawa M, Hori M, Hayama-Terada M, Arisa I, Muto Y, Kitamura A, Takayama Y, Iso H. Prevalence and risk factors of post-coronavirus disease 2019 condition among children and adolescents in Japan: A matched case-control study in the general population. Int J Infect Dis 2024; 143:107008. [PMID: 38484930 DOI: 10.1016/j.ijid.2024.107008] [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: 01/24/2024] [Revised: 03/06/2024] [Accepted: 03/08/2024] [Indexed: 04/08/2024] Open
Abstract
OBJECTIVES To examine prevalence and risk factors for post-COVID-19 condition (PCC) in a paediatric population. METHODS The study included patients aged 5-17 years with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection between 1 March 2021 and 30 April 2022 and matched non-infected controls from Yao City, Japan. We compared parent-reported symptoms persisting ≥2 months (present at 3 months post-infection for patients) between the groups. COVID-19 vaccination data was obtained from the Vaccination Registry. RESULTS Among 8167 invited individuals, 3141 (1800 cases, mean age: 10.4 years, 46.1% females; 1341 controls, mean age 10.5 years, 47.1% females) participated. Patients had elapsed average 273 (185-605) days from infection, and 1708 (94.9%) experienced mild acute symptoms. Patients had higher odds of having persistent symptoms than did controls (6.3% vs 2.2%, adjusted odds ratio [aOR]: 3.15, 95% confidence interval: 2.08-4.77), with 53.6% of them reporting current disruption due to the symptoms. Older age, low household income, pre-existing allergy, and autonomic nervous system disease were associated with increased risks of developing PCC; two prior vaccination doses reduced these risks (aOR: 0.53, 0.29-0.96). CONCLUSION SARS-CoV-2 infection, including omicron infections heighten persistent symptom risk in the paediatric population, necessitating preventive strategies, notably vaccination.
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Affiliation(s)
- Mariko Hosozawa
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.
| | - Miyuki Hori
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | | | - Iba Arisa
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yoko Muto
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | | | | | - Hiroyasu Iso
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
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18
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Kubrova E, Hallo-Carrasco AJ, Klasova J, Pagan Rosado RD, Prusinski CC, Trofymenko O, Schappell JB, Prokop LJ, Yuh CI, Gupta S, Hunt CL. Persistent chest pain following COVID-19 infection - A scoping review. PM R 2024; 16:605-625. [PMID: 37906499 DOI: 10.1002/pmrj.13098] [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: 05/17/2023] [Revised: 10/07/2023] [Accepted: 10/24/2023] [Indexed: 11/02/2023]
Abstract
Persistent chest pain (PCP) following acute COVID-19 infection is a commonly reported symptom with an unclear etiology, making its management challenging. This scoping review aims to address the knowledge gap surrounding the characteristics of PCP following COVID-19, its causes, and potential treatments. This is a scoping review of 64 studies, including observational (prospective, retrospective, cross-sectional, case series, and case-control) and one quasi-experimental study, from databases including Embase, PubMed/MEDLINE, Cochrane CENTRAL, Google Scholar, Cochrane Database of Systematic Reviews, and Scopus. Studies on patients with PCP following mild, moderate, and severe COVID-19 infection were included. Studies with patients of any age, with chest pain that persisted following acute COVID-19 disease, irrespective of etiology or duration were included. A total of 35 studies reported PCP symptoms following COVID-19 (0.24%-76.6%) at an average follow-up of 3 months or longer, 12 studies at 1-3 months and 17 studies at less than 1-month follow-up or not specified. PCP was common following mild-severe COVID-19 infection, and etiology was mostly not reported. Fourteen studies proposed potential etiologies including endothelial dysfunction, cardiac ischemia, vasospasm, myocarditis, cardiac arrhythmia, pneumonia, pulmonary embolism, postural tachycardia syndrome, or noted cardiac MRI (cMRI) changes. Evaluation methods included common cardiopulmonary tests, as well as less common tests such as flow-mediated dilatation, cMRI, single-photon emission computed tomography myocardial perfusion imaging, and cardiopulmonary exercise testing. Only one study reported a specific treatment (sulodexide). PCP is a prevalent symptom following COVID-19 infection, with various proposed etiologies. Further research is needed to establish a better understanding of the causes and to develop targeted treatments for PCP following COVID-19.
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Affiliation(s)
- Eva Kubrova
- Department of Physical Medicine and Rehabilitation, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | | | - Johana Klasova
- Department of Pain Medicine, Mayo Clinic, Jacksonville, Florida, USA
| | - Robert D Pagan Rosado
- Department of Physical Medicine and Rehabilitation, Mayo Clinic Rochester, Rochester, Minnesota, USA
- Department of Pain Medicine, Mayo Clinic, Jacksonville, Florida, USA
| | | | | | | | - Larry J Prokop
- Library and Public Services, Mayo Clinic, Rochester, Minnesota, USA
| | - Clara I Yuh
- Department of Physical Medicine and Rehabilitation, University of California, Irvine, California, USA
| | - Sahil Gupta
- Department of Pain Medicine, Mayo Clinic, Jacksonville, Florida, USA
| | - Christine L Hunt
- Department of Pain Medicine, Mayo Clinic, Jacksonville, Florida, USA
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19
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Olawore O, Turner LE, Evans MD, Johnson SG, Huling JD, Bramante CT, Buse JB, Stürmer T. Risk of Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) Among Patients with Type 2 Diabetes Mellitus on Anti-Hyperglycemic Medications. Clin Epidemiol 2024; 16:379-393. [PMID: 38836048 PMCID: PMC11149650 DOI: 10.2147/clep.s458901] [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: 02/22/2024] [Accepted: 05/17/2024] [Indexed: 06/06/2024] Open
Abstract
Background Observed activity of metformin in reducing the risk of severe COVID-19 suggests a potential use of the anti-hyperglycemic in the prevention of post-acute sequelae of SARS-CoV-2 infection (PASC). We assessed the 3-month and 6-month risk of PASC among patients with type 2 diabetes mellitus (T2DM) comparing metformin users to sulfonylureas (SU) or dipeptidyl peptidase-4 inhibitors (DPP4i) users. Methods We used de-identified patient level electronic health record data from the National Covid Cohort Collaborative (N3C) between October 2021 and April 2023. Participants were adults ≥ 18 years with T2DM who had at least one outpatient healthcare encounter in health institutions in the United States prior to COVID-19 diagnosis. The outcome of PASC was defined based on the presence of a diagnosis code for the illness or using a predicted probability based on a machine learning algorithm. We estimated the 3-month and 6-month risk of PASC and calculated crude and weighted risk ratios (RR), risk differences (RD), and differences in mean predicted probability. Results We identified 5596 (mean age: 61.1 years; SD: 12.6) and 1451 (mean age: 64.9 years; SD 12.5) eligible prevalent users of metformin and SU/DPP4i respectively. We did not find a significant difference in risk of PASC at 3 months (RR = 0.86 [0.56; 1.32], RD = -3.06 per 1000 [-12.14; 6.01]), or at 6 months (RR = 0.81 [0.55; 1.20], RD = -4.91 per 1000 [-14.75, 4.93]) comparing prevalent users of metformin to prevalent users of SU/ DPP4i. Similar observations were made for the outcome definition using the ML algorithm. Conclusion The observed estimates in our study are consistent with a reduced risk of PASC among prevalent users of metformin, however the uncertainty of our confidence intervals warrants cautious interpretations of the results. A standardized clinical definition of PASC is warranted for thorough evaluation of the effectiveness of therapies under assessment for the prevention of PASC.
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Affiliation(s)
- Oluwasolape Olawore
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lindsey E Turner
- Division of Biostatistics and Health Data Science, University of Minnesota School of Public Health, Minneapolis, MN, USA
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA
| | - Michael D Evans
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA
| | - Steven G Johnson
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Jared D Huling
- Division of Biostatistics and Health Data Science, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Carolyn T Bramante
- Division of General Internal Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - John B Buse
- Division of Endocrinology, Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Til Stürmer
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - On behalf of the N3C Consortium
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Biostatistics and Health Data Science, University of Minnesota School of Public Health, Minneapolis, MN, USA
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
- Division of General Internal Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
- Division of Endocrinology, Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
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20
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Vránová L, Poláková I, Vaníková Š, Saláková M, Musil J, Vaníčková M, Vencálek O, Holub M, Bohoněk M, Řezáč D, Dresler J, Tachezy R, Šmahel M. Multiparametric analysis of the specific immune response against SARS-CoV-2. Infect Dis (Lond) 2024:1-19. [PMID: 38805304 DOI: 10.1080/23744235.2024.2358379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 05/17/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND SARS-CoV-2, which causes COVID-19, has killed more than 7 million people worldwide. Understanding the development of postinfectious and postvaccination immune responses is necessary for effective treatment and the introduction of appropriate antipandemic measures. OBJECTIVES We analysed humoral and cell-mediated anti-SARS-CoV-2 immune responses to spike (S), nucleocapsid (N), membrane (M), and open reading frame (O) proteins in individuals collected up to 1.5 years after COVID-19 onset and evaluated immune memory. METHODS Peripheral blood mononuclear cells and serum were collected from patients after COVID-19. Sampling was performed in two rounds: 3-6 months after infection and after another year. Most of the patients were vaccinated between samplings. SARS-CoV-2-seronegative donors served as controls. ELISpot assays were used to detect SARS-CoV-2-specific T and B cells using peptide pools (S, NMO) or recombinant proteins (rS, rN), respectively. A CEF peptide pool consisting of selected viral epitopes was applied to assess the antiviral T-cell response. SARS-CoV-2-specific antibodies were detected via ELISA and a surrogate virus neutralisation assay. RESULTS We confirmed that SARS-CoV-2 infection induces the establishment of long-term memory IgG+ B cells and memory T cells. We also found that vaccination enhanced the levels of anti-S memory B and T cells. Multivariate comparison also revealed the benefit of repeated vaccination. Interestingly, the T-cell response to CEF was lower in patients than in controls. CONCLUSION This study supports the importance of repeated vaccination for enhancing immunity and suggests a possible long-term perturbation of the overall antiviral immune response caused by SARS-CoV-2 infection.
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Affiliation(s)
- Lucie Vránová
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Ingrid Poláková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Šárka Vaníková
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Martina Saláková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Jan Musil
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Marie Vaníčková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Ondřej Vencálek
- Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University in Olomouc, Olomouc, Czech Republic
| | - Michal Holub
- Department of Infectious Diseases, First Faculty of Medicine, Military University Hospital Prague and Charles University, Prague, Czech Republic
| | - Miloš Bohoněk
- Department of Hematology and Blood Transfusion, Military University Hospital Prague, Prague, Czech Republic
- Faculty of Biomedical Engineering, Czech Technical University, Prague, Czech Republic
| | - David Řezáč
- Department of Infectious Diseases, First Faculty of Medicine, Military University Hospital Prague and Charles University, Prague, Czech Republic
| | - Jiří Dresler
- Military Health Institute, Military Medical Agency, Prague, Czech Republic
| | - Ruth Tachezy
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Michal Šmahel
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
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21
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Malden DE, Liu ILA, Qian L, Sy LS, Lewin BJ, Asamura DT, Ryan DS, Bezi C, Williams JTB, Kaiser R, Daley MF, Nelson JC, McClure DL, Zerbo O, Henninger ML, Fuller CC, Weintraub ES, Saydah S, Tartof SY. Post-COVID conditions following COVID-19 vaccination: a retrospective matched cohort study of patients with SARS-CoV-2 infection. Nat Commun 2024; 15:4101. [PMID: 38778026 PMCID: PMC11111703 DOI: 10.1038/s41467-024-48022-9] [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: 10/16/2023] [Accepted: 04/18/2024] [Indexed: 05/25/2024] Open
Abstract
COVID-19 vaccinations protect against severe illness and death, but associations with post-COVID conditions (PCC) are less clear. We aimed to evaluate the association between prior COVID-19 vaccination and new-onset PCC among individuals with SARS-CoV-2 infection across eight large healthcare systems in the United States. This retrospective matched cohort study used electronic health records (EHR) from patients with SARS-CoV-2 positive tests during March 2021-February 2022. Vaccinated and unvaccinated COVID-19 cases were matched on location, test date, severity of acute infection, age, and sex. Vaccination status was ascertained using EHR and integrated data on externally administered vaccines. Adjusted relative risks (RRs) were obtained from Poisson regression. PCC was defined as a new diagnosis in one of 13 PCC categories 30 days to 6 months following a positive SARS-CoV-2 test. The study included 161,531 vaccinated COVID-19 cases and 161,531 matched unvaccinated cases. Compared to unvaccinated cases, vaccinated cases had a similar or lower risk of all PCC categories except mental health disorders (RR: 1.06, 95% CI: 1.02-1.10). Vaccination was associated with ≥10% lower risk of sensory (RR: 0.90, 0.86-0.95), circulatory (RR: 0.88, 0.83-0.94), blood and hematologic (RR: 0.79, 0.71-0.89), skin and subcutaneous (RR: 0.69, 0.66-0.72), and non-specific COVID-19 related disorders (RR: 0.53, 0.51-0.56). In general, associations were stronger at younger ages but mostly persisted regardless of SARS-CoV-2 variant period, receipt of ≥3 vs. 1-2 vaccine doses, or time since vaccination. Pre-infection vaccination was associated with reduced risk of several PCC outcomes and hence may decrease the long-term consequences of COVID-19.
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Affiliation(s)
- Debbie E Malden
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA.
| | - In-Lu Amy Liu
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA
| | - Lei Qian
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA
| | - Lina S Sy
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA
| | - Bruno J Lewin
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA
- Kaiser Permanente Bernard J. Tyson School of Medicine, Department of Clinical Science, Pasadena, USA
| | - Dawn T Asamura
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA
| | - Denison S Ryan
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA
| | - Cassandra Bezi
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA
| | - Joshua T B Williams
- Denver Health, Ambulatory Care Services & Center for Health Systems Research, Denver, USA
| | | | - Matthew F Daley
- Kaiser Permanente Colorado, Institute for Health Research, Aurora, USA
| | - Jennifer C Nelson
- Kaiser Permanente Washington Health Research Institute (KPWHRI), Seattle, USA
| | | | - Ousseny Zerbo
- Kaiser Permanente Northern California, Division of Research, Vaccine Study Center, Oakland, USA
| | | | | | - Eric S Weintraub
- Centers for Disease Control and Prevention, Immunization Safety Office, Atlanta, GA, USA
| | - Sharon Saydah
- Centers for Disease Control and Prevention, Immunization Safety Office, Atlanta, GA, USA
| | - Sara Y Tartof
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, USA
- Kaiser Permanente Bernard J. Tyson School of Medicine, Department of Health Systems Science, Pasadena, USA
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22
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Su Q, Lau RI, Liu Q, Li MKT, Yan Mak JW, Lu W, Lau ISF, Lau LHS, Yeung GTY, Cheung CP, Tang W, Liu C, Ching JYL, Cheong PK, Chan FKL, Ng SC. The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome. Cell Host Microbe 2024; 32:651-660.e4. [PMID: 38657605 DOI: 10.1016/j.chom.2024.04.005] [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: 11/29/2023] [Revised: 02/28/2024] [Accepted: 04/01/2024] [Indexed: 04/26/2024]
Abstract
The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) are poorly understood. Herein, we characterized the gut microbiome in heterogeneous cohorts of subjects with PACS and developed a multi-label machine learning model for using the microbiome to predict specific symptoms. Our processed data covered 585 bacterial species and 500 microbial pathways, explaining 12.7% of the inter-individual variability in PACS. Three gut-microbiome-based enterotypes were identified in subjects with PACS and associated with different phenotypic manifestations. The trained model showed an accuracy of 0.89 in predicting individual symptoms of PACS in the test set and maintained a sensitivity of 86% and a specificity of 82% in predicting upcoming symptoms in an independent longitudinal cohort of subjects before they developed PACS. This study demonstrates that the gut microbiome is associated with phenotypic manifestations of PACS, which has potential clinical utility for the prediction and diagnosis of PACS.
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Affiliation(s)
- Qi Su
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Raphaela I Lau
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Qin Liu
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Moses K T Li
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Joyce Wing Yan Mak
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wenqi Lu
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ivan S F Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Louis H S Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Giann T Y Yeung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chun Pan Cheung
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Whitney Tang
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chengyu Liu
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessica Y L Ching
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Pui Kuan Cheong
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Francis K L Chan
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Centre for Gut Microbiota Research, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Siew C Ng
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China.
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23
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Mandel H, Yoo Y, Allen A, Abedian S, Verzani Z, Karlson E, Kleinman L, Mudumbi P, Oliveira C, Muszynski J, Gross R, Carton T, Kim C, Taylor E, Park H, Divers J, Kelly J, Arnold J, Geary C, Zang C, Tantisira K, Rhee K, Koropsak M, Mohandas S, Vasey A, Weiner M, Mosa A, Haendel M, Chute C, Murphy S, O'Brien L, Szmuszkovicz J, Güthe N, Santana J, De A, Bogie A, Halabi K, Mohanraj L, Kinser P, Packard S, Tuttle K, Thorpe L, Moffitt R. Long COVID incidence in adults and children between 2020 and 2023: a real-world data study from the RECOVER Initiative. RESEARCH SQUARE 2024:rs.3.rs-4124710. [PMID: 38746290 PMCID: PMC11092818 DOI: 10.21203/rs.3.rs-4124710/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Estimates of post-acute sequelae of SARS-CoV-2 infection (PASC) incidence, also known as Long COVID, have varied across studies and changed over time. We estimated PASC incidence among adult and pediatric populations in three nationwide research networks of electronic health records (EHR) participating in the RECOVER Initiative using different classification algorithms (computable phenotypes). Overall, 7% of children and 8.5%-26.4% of adults developed PASC, depending on computable phenotype used. Excess incidence among SARS-CoV-2 patients was 4% in children and ranged from 4-7% among adults, representing a lower-bound incidence estimation based on two control groups - contemporary COVID-19 negative and historical patients (2019). Temporal patterns were consistent across networks, with peaks associated with introduction of new viral variants. Our findings indicate that preventing and mitigating Long COVID remains a public health priority. Examining temporal patterns and risk factors of PASC incidence informs our understanding of etiology and can improve prevention and management.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - C Kim
- RECOVER Patient, Caregiver, or Community Advocate Representative
| | - Emily Taylor
- RECOVER Patient, Caregiver, or Community Advocate Representative
| | | | | | - J Kelly
- University of California, San Francisco
| | | | | | | | - Kelan Tantisira
- Division of Respiratory Medicine, Department of Pediatrics, University of California San Diego, San Diego
| | | | | | - Sindhu Mohandas
- Children's Hospital Los Angeles/University of Southern California
| | | | | | - Abu Mosa
- University of Missouri School of Medicine
| | | | | | | | - Lisa O'Brien
- RECOVER Patient, Caregiver, or Community Advocate Representative
| | | | - Nicholas Güthe
- RECOVER Patient, Caregiver, or Community Advocate Representative
| | | | - Aliva De
- Columbia University Irving Medical Center
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24
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Hsieh KH, Chao CH, Cheng YL, Lai YC, Chuang YC, Wang JR, Chang SY, Hung YP, Chen YMA, Liu WL, Chuang WJ, Yeh TM. Enhancement of NETosis by ACE2-cross-reactive anti-SARS-CoV-2 RBD antibodies in patients with COVID-19. J Biomed Sci 2024; 31:39. [PMID: 38637878 PMCID: PMC11027296 DOI: 10.1186/s12929-024-01026-5] [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: 12/07/2023] [Accepted: 03/26/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND High levels of neutrophil extracellular trap (NET) formation or NETosis and autoantibodies are related to poor prognosis and disease severity of COVID-19 patients. Human angiotensin-converting enzyme 2 (ACE2) cross-reactive anti-severe acute respiratory syndrome coronavirus 2 spike protein receptor-binding domain (SARS-CoV-2 RBD) antibodies (CR Abs) have been reported as one of the sources of anti-ACE2 autoantibodies. However, the pathological implications of CR Abs in NET formation remain unknown. METHODS In this study, we first assessed the presence of CR Abs in the sera of COVID-19 patients with different severity by serological analysis. Sera and purified IgG from CR Abs positive COVID-19 patients as well as a mouse monoclonal Ab (mAb 127) that can recognize both ACE2 and the RBD were tested for their influence on NETosis and the possible mechanisms involved were studied. RESULTS An association between CR Abs levels and the severity of COVID-19 in 120 patients was found. The CR Abs-positive sera and IgG from severe COVID-19 patients and mAb 127 significantly activated human leukocytes and triggered NETosis, in the presence of RBD. This NETosis, triggered by the coexistence of CR Abs and RBD, activated thrombus-related cells but was abolished when the interaction between CR Abs and ACE2 or Fc receptors was disrupted. We also revealed that CR Abs-induced NETosis was suppressed in the presence of recombinant ACE2 or the Src family kinase inhibitor, dasatinib. Furthermore, we found that COVID-19 vaccination not only reduced COVID-19 severity but also prevented the production of CR Abs after SARS-CoV-2 infection. CONCLUSIONS Our findings provide possible pathogenic effects of CR Abs in exacerbating COVID-19 by enhancing NETosis, highlighting ACE2 and dasatinib as potential treatments, and supporting the benefit of vaccination in reducing disease severity and CR Abs production in COVID-19 patients.
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Affiliation(s)
- Kun-Han Hsieh
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chiao-Hsuan Chao
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Medical Laboratory and Regenerative Medicine, MacKay Medical College, New Taipei, Taiwan
| | - Yi-Ling Cheng
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yen-Chung Lai
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
- Division of Infectious Diseases, Department of Medicine, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Yung-Chun Chuang
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Leadgene Biomedical, Inc, Tainan, Taiwan
- Department of Biomedical Sciences, Chung Shan Medical University, Taichung, Taiwan
| | - Jen-Ren Wang
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Diseases and Vaccinology, National Institute of Infectious National Health Research Institutes, Tainan, Taiwan
- Center of Infectious Disease and Signaling Research, National Cheng Kung University, Tainan, Taiwan
| | - Sui-Yuan Chang
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yuan-Pin Hung
- Department of Internal Medicine, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan
- Department of Internal Medicine, National Cheng Kung University, Medical College and Hospital, Tainan, Taiwan
| | - Yi-Ming Arthur Chen
- Laboratory of Important Infectious Diseases and Cancer, Department of Medicine, School of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan
- School of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan
- Diseases and Vaccinology, National Institute of Infectious National Health Research Institutes, Miaoli County, 350, Taiwan
| | - Wei-Lun Liu
- School of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan
- Department of Critical Care Medicine, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, 243, Taiwan
- Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan
| | - Woei-Jer Chuang
- Department of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Trai-Ming Yeh
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
- Center of Infectious Disease and Signaling Research, National Cheng Kung University, Tainan, Taiwan.
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25
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Mercadé-Besora N, Li X, Kolde R, Trinh NT, Sanchez-Santos MT, Man WY, Roel E, Reyes C, Delmestri A, Nordeng HME, Uusküla A, Duarte-Salles T, Prats C, Prieto-Alhambra D, Jödicke AM, Català M. The role of COVID-19 vaccines in preventing post-COVID-19 thromboembolic and cardiovascular complications. Heart 2024; 110:635-643. [PMID: 38471729 DOI: 10.1136/heartjnl-2023-323483] [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: 09/23/2023] [Accepted: 12/13/2023] [Indexed: 03/14/2024] Open
Abstract
OBJECTIVE To study the association between COVID-19 vaccination and the risk of post-COVID-19 cardiac and thromboembolic complications. METHODS We conducted a staggered cohort study based on national vaccination campaigns using electronic health records from the UK, Spain and Estonia. Vaccine rollout was grouped into four stages with predefined enrolment periods. Each stage included all individuals eligible for vaccination, with no previous SARS-CoV-2 infection or COVID-19 vaccine at the start date. Vaccination status was used as a time-varying exposure. Outcomes included heart failure (HF), venous thromboembolism (VTE) and arterial thrombosis/thromboembolism (ATE) recorded in four time windows after SARS-CoV-2 infection: 0-30, 31-90, 91-180 and 181-365 days. Propensity score overlap weighting and empirical calibration were used to minimise observed and unobserved confounding, respectively.Fine-Gray models estimated subdistribution hazard ratios (sHR). Random effect meta-analyses were conducted across staggered cohorts and databases. RESULTS The study included 10.17 million vaccinated and 10.39 million unvaccinated people. Vaccination was associated with reduced risks of acute (30-day) and post-acute COVID-19 VTE, ATE and HF: for example, meta-analytic sHR of 0.22 (95% CI 0.17 to 0.29), 0.53 (0.44 to 0.63) and 0.45 (0.38 to 0.53), respectively, for 0-30 days after SARS-CoV-2 infection, while in the 91-180 days sHR were 0.53 (0.40 to 0.70), 0.72 (0.58 to 0.88) and 0.61 (0.51 to 0.73), respectively. CONCLUSIONS COVID-19 vaccination reduced the risk of post-COVID-19 cardiac and thromboembolic outcomes. These effects were more pronounced for acute COVID-19 outcomes, consistent with known reductions in disease severity following breakthrough versus unvaccinated SARS-CoV-2 infection.
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Affiliation(s)
- Núria Mercadé-Besora
- Pharmaco- and Device Epidemiology Group, Health Data Sciences, Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
- Department of Physics, Universitat Politècnica de Catalunya, Barcelona, Spain
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), IDIAP Jordi Gol, Barcelona, Catalunya, Spain
| | - Xintong Li
- Pharmaco- and Device Epidemiology Group, Health Data Sciences, Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
| | - Raivo Kolde
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Nhung Th Trinh
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Maria T Sanchez-Santos
- Pharmaco- and Device Epidemiology Group, Health Data Sciences, Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
| | - Wai Yi Man
- Pharmaco- and Device Epidemiology Group, Health Data Sciences, Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
| | - Elena Roel
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), IDIAP Jordi Gol, Barcelona, Catalunya, Spain
| | - Carlen Reyes
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), IDIAP Jordi Gol, Barcelona, Catalunya, Spain
| | - Antonella Delmestri
- Pharmaco- and Device Epidemiology Group, Health Data Sciences, Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
| | - Hedvig M E Nordeng
- School of Pharmacy, University of Oslo, Oslo, Norway
- Division of Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Anneli Uusküla
- Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), IDIAP Jordi Gol, Barcelona, Catalunya, Spain
- Department of Medical Informatics, Erasmus University Medical Center, Erasmus University Rotterdam, Rotterdam, Zuid-Holland, Netherlands
| | - Clara Prats
- Department of Physics, Universitat Politècnica de Catalunya, Barcelona, Spain
| | - Daniel Prieto-Alhambra
- Pharmaco- and Device Epidemiology Group, Health Data Sciences, Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
- Department of Medical Informatics, Erasmus University Medical Center, Erasmus University Rotterdam, Rotterdam, Zuid-Holland, Netherlands
| | - Annika M Jödicke
- Pharmaco- and Device Epidemiology Group, Health Data Sciences, Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
| | - Martí Català
- Pharmaco- and Device Epidemiology Group, Health Data Sciences, Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
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Berto CG, Kotton CN. The Other Pandemic From the Pandemic: A Higher Frequency of Long COVID After Omicron in Kidney Transplant Recipients. Transplantation 2024; 108:841-842. [PMID: 37953471 DOI: 10.1097/tp.0000000000004859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Affiliation(s)
- Cesar G Berto
- Transplant and Immunocompromised Host Infectious Diseases, Infectious Diseases Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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27
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Razzaghi H, Forrest CB, Hirabayashi K, Wu Q, Allen AJ, Rao S, Chen Y, Bunnell HT, Chrischilles EA, Cowell LG, Cummins MR, Hanauer DA, Higginbotham M, Horne BD, Horowitz CR, Jhaveri R, Kim S, Mishkin A, Muszynski JA, Naggie S, Pajor NM, Paranjape A, Schwenk HT, Sills MR, Tedla YG, Williams DA, Bailey LC. Vaccine Effectiveness Against Long COVID in Children. Pediatrics 2024; 153:e2023064446. [PMID: 38225804 PMCID: PMC10979300 DOI: 10.1542/peds.2023-064446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/15/2023] [Indexed: 01/17/2024] Open
Abstract
OBJECTIVES Vaccination reduces the risk of acute coronavirus disease 2019 (COVID-19) in children, but it is less clear whether it protects against long COVID. We estimated vaccine effectiveness (VE) against long COVID in children aged 5 to 17 years. METHODS This retrospective cohort study used data from 17 health systems in the RECOVER PCORnet electronic health record program for visits after vaccine availability. We examined both probable (symptom-based) and diagnosed long COVID after vaccination. RESULTS The vaccination rate was 67% in the cohort of 1 037 936 children. The incidence of probable long COVID was 4.5% among patients with COVID-19, whereas diagnosed long COVID was 0.8%. Adjusted vaccine effectiveness within 12 months was 35.4% (95 CI 24.5-44.7) against probable long COVID and 41.7% (15.0-60.0) against diagnosed long COVID. VE was higher for adolescents (50.3% [36.6-61.0]) than children aged 5 to 11 (23.8% [4.9-39.0]). VE was higher at 6 months (61.4% [51.0-69.6]) but decreased to 10.6% (-26.8% to 37.0%) at 18-months. CONCLUSIONS This large retrospective study shows moderate protective effect of severe acute respiratory coronavirus 2 vaccination against long COVID. The effect is stronger in adolescents, who have higher risk of long COVID, and wanes over time. Understanding VE mechanism against long COVID requires more study, including electronic health record sources and prospective data.
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Affiliation(s)
- Hanieh Razzaghi
- Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Christopher B. Forrest
- Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics
| | - Kathryn Hirabayashi
- Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Qiong Wu
- Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Andrea J. Allen
- Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, Colorado
| | - Yong Chen
- Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - H. Timothy Bunnell
- Biomedical Research Informatics Center, Nemours Children’s Health, Wilmington, Delaware
| | | | - Lindsay G. Cowell
- Peter O’Donnell Jr School of Public Health; Department of Immunology, School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - David A. Hanauer
- Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan
| | - Miranda Higginbotham
- Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Benjamin D. Horne
- Intermountain Heart Institute, Intermountain Health, Salt Lake City, Utah
| | - Carol R. Horowitz
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York City, New York
| | - Ravi Jhaveri
- Division of Infectious Diseases, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
| | - Susan Kim
- Division of Rheumatology, Benioff Children’s Hospital, University of California, San Francisco, San Francisco, California
| | - Aaron Mishkin
- Section of Infectious Diseases, Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania
| | - Jennifer A. Muszynski
- Division of Critical Care Medicine, Department of Pediatrics, Nationwide Children’s Hospital, Columbus, Ohio
| | - Susanna Naggie
- Division of Infectious Diseases, Duke University School of Medicine, Duke Clinical Research Institute, Durham, North Carolina
| | - Nathan M. Pajor
- Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Anuradha Paranjape
- Section of Infectious Diseases, Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania
| | - Hayden T. Schwenk
- Division of Pediatric Infectious Diseases, Stanford School of Medicine, Palo Alto, California
| | | | - Yacob G. Tedla
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - David A. Williams
- Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan
| | - L. Charles Bailey
- Applied Clinical Research Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics
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Chen DY, Huang PI, Tang KT. Characteristics of long COVID in patients with autoimmune rheumatic diseases: a systematic review and meta-analysis. Rheumatol Adv Pract 2024; 8:rkae027. [PMID: 38560644 PMCID: PMC10980592 DOI: 10.1093/rap/rkae027] [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: 11/06/2023] [Accepted: 02/09/2024] [Indexed: 04/04/2024] Open
Abstract
Objectives Numerous cases of long coronavirus disease (long COVID) have been reported in patients with autoimmune rheumatic diseases (ARDs). Despite the reviews on clinical manifestations of long COVID in the general population, systematic reviews on ARD patients are scarce. Herein, we conducted a systematic review and meta-analysis on the prevalence and characteristics of long COVID in ARD patients. Methods We searched the literature in PubMed and Embase as of 27 December 2022. Cohort, cross-sectional and case-control studies relevant to long COVID in ARD patients were collected. Stratification based on the severity of COVID infection and subtypes of rheumatic diseases [systemic autoimmune rheumatic disease (SARD) vs non-autoimmune rheumatic disease (NARD)] was also undertaken. A random-effects model was used in the meta-analysis. Results A total of 15 relevant studies were identified from the literature. The prevalence of long COVID was 56% (95% CI 34, 76) in 2995 patients. Hospitalized COVID patients had a higher proportion of long COVID than non-hospitalized patients. The prevalence of long COVID was similar between SARD and NARD patients. In terms of symptoms, fatigue, arthralgia and pain were commonly reported in long COVID patients with ARDs. Conclusion The characteristics of long COVID in ARD patients are generally similar to those in the general population despite a higher prevalence and a higher proportion of arthralgia and pain.
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Affiliation(s)
- Der-Yuan Chen
- Rheumatology and Immunology Center, China Medical University Hospital, Taichung, Taiwan
- College of Medicine, China Medical University, Taichung, Taiwan
- College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Po-I Huang
- Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Kuo-Tung Tang
- Division of Allergy, Immunology, and Rheumatology, Taichung Veterans General Hospital, Taichung, Taiwan
- Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Ph.D. Program in Translational Medicine and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, Taiwan
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Ihongbe TO, Kim JEC, Dahlen H, Kranzler EC, Seserman K, Moffett K, Hoffman L. Trends in primary, booster, and updated COVID-19 vaccine readiness in the United States, January 2021-April 2023: Implications for 2023-2024 updated COVID-19 vaccines. Prev Med 2024; 180:107887. [PMID: 38325608 DOI: 10.1016/j.ypmed.2024.107887] [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: 11/12/2023] [Revised: 02/03/2024] [Accepted: 02/04/2024] [Indexed: 02/09/2024]
Abstract
OBJECTIVE COVID-19 vaccines have mitigated the severity of COVID-19 and its sequelae. The emergence of new SARS-CoV-2 variants and waning immunity conferred by COVID-19 vaccination have necessitated booster and updated COVID-19 vaccines. This study examined trends in vaccine readiness-a composite measure of intention and uptake-for the primary, booster, and 2022-2023 updated (bivalent) COVID-19 vaccines among U.S. adults. METHODS Data from the nationally-representative U.S. Department of Health and Human Services' COVID-19 Monthly Outcome Survey from January 2021 to April 2023 were analyzed (N = 140,180). We conducted pairwise comparisons (weighted t-tests) to assess for significant between-month differences in the proportion of participants in each vaccine-readiness category (vaccine ready, wait and see, and no vaccine intention) for the following outcomes: (1) primary; (2) booster; and (3) updated COVID-19 vaccine readiness. RESULTS From January 2021 to April 2023, significant increases in the primary vaccine ready group were accompanied by decreases in the wait and see and no vaccine intention groups (p < 0.001). From January to September 2022, the no booster intention group notably increased (p < 0.001), whereas the booster ready group decreased (p < 0.001), and the wait and see group remained stable (p = 0.116). From October 2022 to April 2023, the no updated vaccine intention group increased (p < 0.001), the wait and see group decreased (p < 0.01), and the updated vaccine ready group remained unchanged (p = 0.357). CONCLUSIONS Findings show decreased vaccine readiness for the booster and 2022-2023 updated (bivalent) COVID-19 vaccines relative to the primary COVID-19 vaccines. Implications for the 2023-2024 updated COVID-19 vaccines are discussed.
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Affiliation(s)
| | | | | | | | | | | | - Leah Hoffman
- Fors Marsh, Arlington, VA, United States of America
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30
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Català M, Mercadé-Besora N, Kolde R, Trinh NTH, Roel E, Burn E, Rathod-Mistry T, Kostka K, Man WY, Delmestri A, Nordeng HME, Uusküla A, Duarte-Salles T, Prieto-Alhambra D, Jödicke AM. The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia. THE LANCET. RESPIRATORY MEDICINE 2024; 12:225-236. [PMID: 38219763 DOI: 10.1016/s2213-2600(23)00414-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/13/2023] [Accepted: 10/30/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND Although vaccines have proved effective to prevent severe COVID-19, their effect on preventing long-term symptoms is not yet fully understood. We aimed to evaluate the overall effect of vaccination to prevent long COVID symptoms and assess comparative effectiveness of the most used vaccines (ChAdOx1 and BNT162b2). METHODS We conducted a staggered cohort study using primary care records from the UK (Clinical Practice Research Datalink [CPRD] GOLD and AURUM), Catalonia, Spain (Information System for Research in Primary Care [SIDIAP]), and national health insurance claims from Estonia (CORIVA database). All adults who were registered for at least 180 days as of Jan 4, 2021 (the UK), Feb 20, 2021 (Spain), and Jan 28, 2021 (Estonia) comprised the source population. Vaccination status was used as a time-varying exposure, staggered by vaccine rollout period. Vaccinated people were further classified by vaccine brand according to their first dose received. The primary outcome definition of long COVID was defined as having at least one of 25 WHO-listed symptoms between 90 and 365 days after the date of a PCR-positive test or clinical diagnosis of COVID-19, with no history of that symptom 180 days before SARS-Cov-2 infection. Propensity score overlap weighting was applied separately for each cohort to minimise confounding. Sub-distribution hazard ratios (sHRs) were calculated to estimate vaccine effectiveness against long COVID, and empirically calibrated using negative control outcomes. Random effects meta-analyses across staggered cohorts were conducted to pool overall effect estimates. FINDINGS A total of 1 618 395 (CPRD GOLD), 5 729 800 (CPRD AURUM), 2 744 821 (SIDIAP), and 77 603 (CORIVA) vaccinated people and 1 640 371 (CPRD GOLD), 5 860 564 (CPRD AURUM), 2 588 518 (SIDIAP), and 302 267 (CORIVA) unvaccinated people were included. Compared with unvaccinated people, overall HRs for long COVID symptoms in people vaccinated with a first dose of any COVID-19 vaccine were 0·54 (95% CI 0·44-0·67) in CPRD GOLD, 0·48 (0·34-0·68) in CPRD AURUM, 0·71 (0·55-0·91) in SIDIAP, and 0·59 (0·40-0·87) in CORIVA. A slightly stronger preventative effect was seen for the first dose of BNT162b2 than for ChAdOx1 (sHR 0·85 [0·60-1·20] in CPRD GOLD and 0·84 [0·74-0·94] in CPRD AURUM). INTERPRETATION Vaccination against COVID-19 consistently reduced the risk of long COVID symptoms, which highlights the importance of vaccination to prevent persistent COVID-19 symptoms, particularly in adults. FUNDING National Institute for Health and Care Research.
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Affiliation(s)
- Martí Català
- Pharmaco- and Device Epidemiology Group, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Núria Mercadé-Besora
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain
| | - Raivo Kolde
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Nhung T H Trinh
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Elena Roel
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain
| | - Edward Burn
- Pharmaco- and Device Epidemiology Group, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Trishna Rathod-Mistry
- Pharmaco- and Device Epidemiology Group, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Kristin Kostka
- Pharmaco- and Device Epidemiology Group, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Wai Yi Man
- Pharmaco- and Device Epidemiology Group, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Antonella Delmestri
- Pharmaco- and Device Epidemiology Group, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Hedvig M E Nordeng
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway; Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | - Anneli Uusküla
- Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Daniel Prieto-Alhambra
- Pharmaco- and Device Epidemiology Group, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK; Oxford National Institute for Health and Care Research Biomedical Research Centre, University of Oxford, Oxford, UK; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.
| | - Annika M Jödicke
- Pharmaco- and Device Epidemiology Group, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
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31
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Sugiyama A, Takafuta T, Sato T, Kitahara Y, Yoshinaga Y, Abe K, Chanroth C, Ataa AG, Phyo Z, Kurisu A, Ko K, Akita T, Kishita E, Kuwabara M, Tanaka J. Natural course of post-COVID symptoms in adults and children. Sci Rep 2024; 14:3884. [PMID: 38365846 PMCID: PMC10873293 DOI: 10.1038/s41598-024-54397-y] [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: 11/10/2023] [Accepted: 02/12/2024] [Indexed: 02/18/2024] Open
Abstract
More than 200 million COVID-19 survivors have lasting symptoms after recovering, but the duration and related risk factors remain uncertain. This study focused on all 6551 patients diagnosed with COVID-19 at a medical institution in Hiroshima from March 2020 to July 2022. In November 2022, a questionnaire survey was conducted regarding post-COVID symptoms and their duration. The prevalence and duration of post-COVID symptoms were illustrated using the Kaplan-Meier method. Risk factors for symptoms lasting over 3 months and interfering with daily life were assessed via multivariate logistic regression. A total of 2421 survivors responded: 1391 adults, 1030 children, median age 34 years (IQR 9-55), 51·2% male, 36·7% hospitalized, median time from infection to the survey was 295 days (IQR 201-538). Upon their initial recovery, the prevalence of post-COVID symptoms was 78·4% in adults and 34·6% in children. Three months later, the rates were 47·6% and 10·8%. After over one year, they were 31·0% and 6·8%. Regarding symptoms interfere with daily life, 304 people (12.6%) experienced symptoms lasting for over three months, with independent risk factors including age, being female, diabetes mellitus, infection during the Delta period, and current smoking. There was no significant association between vaccination history and post-COVID symptoms.
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Affiliation(s)
- Aya Sugiyama
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Toshiro Takafuta
- Hiroshima City Funairi Citizens Hospital, 14-11, Funairisaiwaicho, Naka-ku, Hiroshima-shi, Hiroshima-ken, 730-0844, Japan
| | - Tomoki Sato
- Hiroshima City Funairi Citizens Hospital, 14-11, Funairisaiwaicho, Naka-ku, Hiroshima-shi, Hiroshima-ken, 730-0844, Japan
| | - Yoshihiro Kitahara
- Hiroshima City Funairi Citizens Hospital, 14-11, Funairisaiwaicho, Naka-ku, Hiroshima-shi, Hiroshima-ken, 730-0844, Japan
| | - Yayoi Yoshinaga
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Kanon Abe
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Chhoung Chanroth
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Akuffo Golda Ataa
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Zayar Phyo
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Akemi Kurisu
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Ko Ko
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Tomoyuki Akita
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan
| | - Eisaku Kishita
- Ministry of Health, Labor and Welfare Health Insurance Bureau Medical Economics Division, 1-2-2, Kasumigaseki, Chiyoda-ku, Tokyo-to, Tokyo, 100-8916, Japan
| | - Masao Kuwabara
- Hiroshima Prefecture Center for Disease Control and Prevention, 10-52, Motomachi, Naka-ku, Hiroshima-shi, Hiroshima-ken, 730-8511, Japan
| | - Junko Tanaka
- Department of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
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Man MA, Rosca D, Bratosin F, Fira-Mladinescu O, Ilie AC, Burtic SR, Fildan AP, Fizedean CM, Jianu AM, Negrean RA, Marc MS. Impact of Pre-Infection COVID-19 Vaccination on the Incidence and Severity of Post-COVID Syndrome: A Systematic Review and Meta-Analysis. Vaccines (Basel) 2024; 12:189. [PMID: 38400172 PMCID: PMC10893048 DOI: 10.3390/vaccines12020189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/25/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
This systematic review critically evaluated the impact of a pre-infection COVID-19 vaccination on the incidence and severity of post-COVID-19 syndrome and aimed to assess the potential protective effect across different vaccines and patient demographics. This study hypothesized that vaccination before infection substantially reduces the risk and severity of post-COVID-19 syndrome. In October 2023, a comprehensive literature search was conducted across three databases, PubMed, Embase, and Scopus, focusing on studies published up to that date. Utilizing a wide array of keywords, the search strategy adhered to the PRISMA guidelines and was registered in the Open Science Framework. The inclusion criteria comprised studies focusing on patients with a breakthrough SARS-CoV-2 infection who developed post-COVID-19 syndrome. We included a total of 13 articles that met the inclusion criteria, analyzing more than 10 million patients with a mean age of 50.6 years, showing that the incidence of intensive care unit (ICU) admissions post-vaccination was as low as 2.4%, with a significant reduction in mortality risk (OR 0.66, 95% CI 0.58-0.74). The prevalence of post-COVID-19 syndrome symptoms was lower in vaccinated individuals (9.5%) compared to unvaccinated (14.6%), with a notable decrease in activity-limiting symptoms (adjusted OR 0.59, 95% CI 0.48-0.73). Vaccinated patients also showed a quicker recovery and return to work (HR 1.37, 95% CI 1.04-1.79). The pooled odds ratio of 0.77 indicates that vaccination is associated with a 23% reduction in the risk of developing post-COVID-19 syndrome (95% CI 0.75-0.79). Despite the protective effects observed, a substantial heterogeneity among the studies was noted. In conclusion, a pre-infection COVID-19 vaccination is associated with a significant reduction in the risk and severity of post-COVID-19 syndrome. However, the observed heterogeneity across studies suggests a need for further research with standardized methods to fully comprehend vaccine efficacy against long COVID.
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Affiliation(s)
- Milena Adina Man
- Department of Medical Sciences-Pulmonology, University of Medicine and Pharmacy, “Iuliu Hatieganu”, 400012 Cluj Napoca, Romania;
| | - Daniela Rosca
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania; (F.B.); (S.-R.B.)
| | - Felix Bratosin
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania; (F.B.); (S.-R.B.)
- Discipline of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
| | - Ovidiu Fira-Mladinescu
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania; (O.F.-M.); (M.S.M.)
- Discipline of Pulmonology, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
| | - Adrian Cosmin Ilie
- Department III Functional Sciences, Division of Public Health and Management, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania;
| | - Sonia-Roxana Burtic
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania; (F.B.); (S.-R.B.)
- Department II, Discipline of Medical Communication, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Ariadna Petronela Fildan
- Department of Pulmonology, Faculty of Medicine, “Ovidius” University of Constanta, 900470 Constanta, Romania;
| | - Camelia Melania Fizedean
- Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
| | - Adelina Maria Jianu
- Department of Anatomy and Embriology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
| | - Rodica Anamaria Negrean
- Department of Physiology, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
| | - Monica Steluta Marc
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania; (O.F.-M.); (M.S.M.)
- Discipline of Pulmonology, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
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Hileman CO, Malakooti SK, Patil N, Singer NG, McComsey GA. New-onset autoimmune disease after COVID-19. Front Immunol 2024; 15:1337406. [PMID: 38390319 PMCID: PMC10883027 DOI: 10.3389/fimmu.2024.1337406] [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: 11/13/2023] [Accepted: 01/19/2024] [Indexed: 02/24/2024] Open
Abstract
Introduction Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) may trigger autoimmune disease (AD) through initial innate immune activation with subsequent aberrations in adaptive immune cells leading to AD. While there are multiple reports of incident AD diagnosed after COVID-19, the risk in the context of key circulating strains is unknown. Methods TriNetX, a global, federated, health research network providing access to electronic medical records across 74 healthcare organizations, was utilized to define an adult cohort between January 1, 2020, and March 3, 2023. Exposure was defined as COVID-19 diagnosis (ICD-10 code or positive laboratory test). Age- and sex-propensity score-matched controls never had COVID-19 diagnosed. Outcomes were assessed 1 month to 1 year after the index date. Patients with AD prior to or within 1 month after the index date were excluded from the primary analysis. Incidence and risk ratios of each AD were assessed. Results A total of 3,908,592 patients were included. Of 24 AD patients assessed, adjusted risk ratios for eight AD patients who had COVID-19 were higher compared to those who had no COVID-19. Cutaneous vasculitis (adjusted hazard ratio (aHR): 1.82; 95% CI 1.55-2.13), polyarteritis nodosa (aHR: 1.76; 95% CI 1.15-2.70), and hypersensitivity angiitis (aHR: 1.64; 95% CI 1.12-2.38) had the highest risk ratios. Overall, psoriasis (0.15%), rheumatoid arthritis (0.14%), and type 1 diabetes (0.13%) had the highest incidence during the study period, and of these, psoriasis and diabetes were more likely after COVID-19. The risk of any AD was lower if COVID-19 was diagnosed when Omicron variants were the predominant circulating strains. A positive antinuclear antibody was more likely and predictive of AD after COVID-19. Discussion SARS-CoV-2 may be a potential trigger for some AD, but the risk for AD may decrease with time given the apparent lower risk after infection with Omicron variants.
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Affiliation(s)
- Corrilynn O. Hileman
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
- Department of Medicine, MetroHealth Medical Center, Cleveland, OH, United States
| | - Shahdi K. Malakooti
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
- Department of Medicine, MetroHealth Medical Center, Cleveland, OH, United States
| | - Nirav Patil
- University Hospitals Cleveland Medical Center, Cleveland, OH, United States
| | - Nora G. Singer
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
- Department of Medicine, MetroHealth Medical Center, Cleveland, OH, United States
| | - Grace A. McComsey
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
- University Hospitals Cleveland Medical Center, Cleveland, OH, United States
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Fischer C, Willscher E, Paschold L, Gottschick C, Klee B, Diexer S, Bosurgi L, Dutzmann J, Sedding D, Frese T, Girndt M, Hoell JI, Gekle M, Addo MM, Schulze Zur Wiesch J, Mikolajczyk R, Binder M, Schultheiß C. SARS-CoV-2 vaccination may mitigate dysregulation of IL-1/IL-18 and gastrointestinal symptoms of the post-COVID-19 condition. NPJ Vaccines 2024; 9:23. [PMID: 38316833 PMCID: PMC10844289 DOI: 10.1038/s41541-024-00815-1] [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: 09/07/2023] [Accepted: 01/24/2024] [Indexed: 02/07/2024] Open
Abstract
The rapid development of safe and effective vaccines helped to prevent severe disease courses after SARS-CoV-2 infection and to mitigate the progression of the COVID-19 pandemic. While there is evidence that vaccination may reduce the risk of developing post-COVID-19 conditions (PCC), this effect may depend on the viral variant. Therapeutic effects of post-infection vaccination have been discussed but the data for individuals with PCC remains inconclusive. In addition, extremely rare side effects after SARS-CoV-2 vaccination may resemble the heterogeneous PCC phenotype. Here, we analyze the plasma levels of 25 cytokines and SARS-CoV-2 directed antibodies in 540 individuals with or without PCC relative to one or two mRNA-based COVID-19 vaccinations as well as in 20 uninfected individuals one month after their initial mRNA-based COVID-19 vaccination. While none of the SARS-CoV-2 naïve individuals reported any persisting sequelae or exhibited PCC-like dysregulation of plasma cytokines, we detected lower levels of IL-1β and IL-18 in patients with ongoing PCC who received one or two vaccinations at a median of six months after infection as compared to unvaccinated PCC patients. This reduction correlated with less frequent reporting of persisting gastrointestinal symptoms. These data suggest that post-infection vaccination in patients with PCC might be beneficial in a subgroup of individuals displaying gastrointestinal symptoms.
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Affiliation(s)
- Claudia Fischer
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University, and University Hospital Basel, Basel, Switzerland
| | - Edith Willscher
- Department of Internal Medicine IV, Oncology/Hematology, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Lisa Paschold
- Department of Internal Medicine IV, Oncology/Hematology, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Cornelia Gottschick
- Institute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Bianca Klee
- Institute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Sophie Diexer
- Institute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Lidia Bosurgi
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Protozoa Immunology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Jochen Dutzmann
- Mid-German Heart Center, Department of Cardiology and Intensive Care Medicine, University Hospital, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Daniel Sedding
- Mid-German Heart Center, Department of Cardiology and Intensive Care Medicine, University Hospital, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Thomas Frese
- Institute of General Practice and Family Medicine, Martin-Luther-University Halle-Wittenberg, Halle, (Saale), Germany
| | - Matthias Girndt
- Department of Internal Medicine II, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Jessica I Hoell
- Pediatric Hematology and Oncology, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Michael Gekle
- Julius Bernstein-Institute of Physiology, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Marylyn M Addo
- I. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Braunschweig, Germany
- University Medical Center Hamburg-Eppendorf, Institute for Infection Research and Vaccine Development (IIRVD), Hamburg, Germany
| | | | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, (Saale), Germany
| | - Mascha Binder
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University, and University Hospital Basel, Basel, Switzerland
| | - Christoph Schultheiß
- Division of Medical Oncology, University Hospital Basel, Basel, Switzerland.
- Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University, and University Hospital Basel, Basel, Switzerland.
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Modji KKS, McCoy KE, Creswell PD, Morris CR, Tomasallo CD. Long COVID Among Wisconsin Workers in the Workers' Compensation System: Associations With Sociodemographics, Vaccination, and Predominant Variant Period From March 1, 2020 to July 31, 2022. J Occup Environ Med 2024; 66:e34-e41. [PMID: 38013390 DOI: 10.1097/jom.0000000000003018] [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] [Indexed: 11/29/2023]
Abstract
OBJECTIVE This analysis aimed to determine the likelihood of developing long COVID among Wisconsin workers while adjusting for sociodemographics, COVID-19 vaccination, industry, and occupation. METHODS This retrospective analysis determined the odds ratios of developing long COVID among Wisconsin workers who were compensated for COVID-19 lost time during March 1, 2020 to July 31, 2022. RESULTS A total of 234 workers (11.7%) were determined to have long COVID. Factors associated with long COVID were age ≥40 years, non-White race, infection occurrence during the initial and Omicron variant dominant periods, and the absence of COVID-19 vaccination. Workers in manufacturing and public administration were more likely to develop long COVID compared with those in health care and social assistance. CONCLUSIONS Long COVID disproportionately affects some worker groups. This calls for more worker protection and preventative care to mitigate its impact.
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Affiliation(s)
- Komi K S Modji
- From the Wisconsin Department of Health Services, Madison, Wisconsin (K.K.S.M., K.E.M., P.D.C. C.R.M., C.D.T.); and School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin (K.K.S.M., K.E.M., P.D.C., C.D.T.)
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Bello-Chavolla OY, Fermín-Martínez CA, Ramírez-García D, Vargas-Vázquez A, Fernández-Chirino L, Basile-Alvarez MR, Sánchez-Castro P, Núñez-Luna A, Antonio-Villa NE. Prevalence and determinants of post-acute sequelae after SARS-CoV-2 infection (Long COVID) among adults in Mexico during 2022: a retrospective analysis of nationally representative data. LANCET REGIONAL HEALTH. AMERICAS 2024; 30:100688. [PMID: 38327277 PMCID: PMC10847769 DOI: 10.1016/j.lana.2024.100688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 12/26/2023] [Accepted: 01/21/2024] [Indexed: 02/09/2024]
Abstract
Background Post-acute sequelae after SARS-CoV-2 infection (PASC) remains a concerning long-term complication of COVID-19. Here, we aimed to characterize the epidemiology of PASC in Mexico during 2022 and identify potential associations of covariates with PASC prevalence using nationally representative data. Methods We analyzed data from the 2022 Mexican National Health and Nutrition Survey (ENSANUT) from 24,434 participants, representing 85,521,661 adults ≥20 years. PASC was defined using both the National Institute for Health and Care Excellence (NICE) definition and a PASC score ≥12. Estimates of PASC prevalence were stratified by age, sex, rural vs. urban setting, social lag quartiles, number of reinfections, vaccination status and periods of predominance of SARS-CoV-2 circulating variants. Determinants of PASC were assessed using log-binomial regression models adjusted by survey weights. Findings Persistent symptoms after SARS-CoV-2 infection were reported by 12.44% (95% CI 11.89-12.99) of adults ≥20 years in Mexico in 2022. The most common persistent symptoms were fatigue, musculoskeletal pain, headache, cough, loss of smell or taste, fever, post-exertional malaise, brain fog, anxiety, and chest pain. PASC was present in 21.21% (95% CI 19.74-22.68) of subjects with previously diagnosed COVID-19. Over 28.6% of patients with PASC reported symptoms persistence ≥6 months and 14.05% reported incapacitating symptoms. Higher PASC prevalence was associated with SARS-CoV-2 reinfections, depressive symptoms and living in states with high social lag. PASC prevalence, particularly its more severe forms, decreased with COVID-19 vaccination and for infections during periods of Omicron variant predominance. Interpretation PASC remains a significant public health burden in Mexico as the COVID-19 pandemic transitions into endemic. Promoting SARS-CoV-2 reinfection prevention and booster vaccination may be useful in reducing PASC burden. Funding This research was supported by Instituto Nacional de Geriatría in Mexico.
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Affiliation(s)
| | - Carlos A. Fermín-Martínez
- Research Division, Instituto Nacional de Geriatría, Mexico City, Mexico
- MD/PhD (PECEM) Program, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Daniel Ramírez-García
- Research Division, Instituto Nacional de Geriatría, Mexico City, Mexico
- Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | | | - Martín Roberto Basile-Alvarez
- Research Division, Instituto Nacional de Geriatría, Mexico City, Mexico
- Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Paulina Sánchez-Castro
- Research Division, Instituto Nacional de Geriatría, Mexico City, Mexico
- Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Alejandra Núñez-Luna
- Research Division, Instituto Nacional de Geriatría, Mexico City, Mexico
- Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
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Mkoma GF, Agyemang C, Benfield T, Rostila M, Cederström A, Petersen JH, Norredam M. Risk of long COVID and associated symptoms after acute SARS-COV-2 infection in ethnic minorities: A nationwide register-linked cohort study in Denmark. PLoS Med 2024; 21:e1004280. [PMID: 38377114 PMCID: PMC10914299 DOI: 10.1371/journal.pmed.1004280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 03/05/2024] [Accepted: 01/30/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND Ethnic minorities living in high-income countries have been disproportionately affected by Coronavirus Disease 2019 (COVID-19) in terms of infection rates, hospitalisations, and deaths; however, less is known about long COVID in these populations. Our aim was to examine the risk of long COVID and associated symptoms among ethnic minorities. METHODS AND FINDINGS We used nationwide register-based cohort data on individuals diagnosed with COVID-19 aged ≥18 years (n = 2,287,175) between January 2020 and August 2022 in Denmark. We calculated the risk of long COVID diagnosis and long COVID symptoms among ethnic minorities compared with native Danes using multivariable Cox proportional hazard regression and logistic regression, respectively. Among individuals who were first time diagnosed with COVID-19 during the study period, 39,876 (1.7%) were hospitalised and 2,247,299 (98.3%) were nonhospitalised individuals. Of the diagnosed COVID-19 cases, 1,952,021 (85.3%) were native Danes and 335,154 (14.7%) were ethnic minorities. After adjustment for age, sex, civil status, education, family income, and Charlson comorbidity index, ethnic minorities from North Africa (adjusted hazard ratio [aHR] 1.41, 95% confidence interval [CI] [1.12,1.79], p = 0.003), Middle East (aHR 1.38, 95% CI [1.24,1.55], p < 0.001), Eastern Europe (aHR 1.35, 95% CI [1.22,1.49], p < 0.001), and Asia (aHR 1.23, 95% CI [1.09,1.40], p = 0.001) had significantly greater risk of long COVID diagnosis than native Danes. In the analysis by largest countries of origin, the greater risks of long COVID diagnosis were found in people of Iraqi origin (aHR 1.56, 95% CI [1.30,1.88], p < 0.001), people of Turkish origin (aHR 1.42, 95% CI [1.24,1.63], p < 0.001), and people of Somali origin (aHR 1.42, 95% CI [1.07,1.91], p = 0.016). A significant factor associated with an increased risk of long COVID diagnosis was COVID-19 hospitalisation. The risk of long COVID diagnosis among ethnic minorities was more pronounced between January 2020 and June 2021. Furthermore, the odds of reporting cardiopulmonary symptoms (including dyspnoea, cough, and chest pain) and any long COVID symptoms were higher among people of North African, Middle Eastern, Eastern European, and Asian origins than among native Danes in both unadjusted and adjusted models. Despite including the nationwide sample of individuals diagnosed with COVID-19, the precision of our estimates on long COVID was limited to the sample of patients with symptoms who had contacted the hospital. CONCLUSIONS Belonging to an ethnic minority group was significantly associated with an increased risk of long COVID, indicating the need to better understand long COVID drivers and address care and treatment strategies in these populations.
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Affiliation(s)
- George Frederick Mkoma
- Danish Research Centre for Migration, Ethnicity and Health, Section of Health Services Research, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Charles Agyemang
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Thomas Benfield
- Department of Infectious Diseases, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mikael Rostila
- Department of Public Health Sciences, Stockholm University, Stockholm, Sweden
- Centre for Health Equity Studies (CHESS), Stockholm University/Karolinska Institutet, Stockholm, Sweden
| | - Agneta Cederström
- Department of Public Health Sciences, Stockholm University, Stockholm, Sweden
- Centre for Health Equity Studies (CHESS), Stockholm University/Karolinska Institutet, Stockholm, Sweden
| | - Jørgen Holm Petersen
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Norredam
- Danish Research Centre for Migration, Ethnicity and Health, Section of Health Services Research, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
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Lapuente D, Winkler TH, Tenbusch M. B-cell and antibody responses to SARS-CoV-2: infection, vaccination, and hybrid immunity. Cell Mol Immunol 2024; 21:144-158. [PMID: 37945737 PMCID: PMC10805925 DOI: 10.1038/s41423-023-01095-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023] Open
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019 prompted scientific, medical, and biotech communities to investigate infection- and vaccine-induced immune responses in the context of this pathogen. B-cell and antibody responses are at the center of these investigations, as neutralizing antibodies (nAbs) are an important correlate of protection (COP) from infection and the primary target of SARS-CoV-2 vaccine modalities. In addition to absolute levels, nAb longevity, neutralization breadth, immunoglobulin isotype and subtype composition, and presence at mucosal sites have become important topics for scientists and health policy makers. The recent pandemic was and still is a unique setting in which to study de novo and memory B-cell (MBC) and antibody responses in the dynamic interplay of infection- and vaccine-induced immunity. It also provided an opportunity to explore new vaccine platforms, such as mRNA or adenoviral vector vaccines, in unprecedented cohort sizes. Combined with the technological advances of recent years, this situation has provided detailed mechanistic insights into the development of B-cell and antibody responses but also revealed some unexpected findings. In this review, we summarize the key findings of the last 2.5 years regarding infection- and vaccine-induced B-cell immunity, which we believe are of significant value not only in the context of SARS-CoV-2 but also for future vaccination approaches in endemic and pandemic settings.
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Affiliation(s)
- Dennis Lapuente
- Institut für klinische und molekulare Virologie, Universitätsklinikum Erlangen und Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Schlossgarten 4, 91054, Erlangen, Germany
| | - Thomas H Winkler
- Department of Biology, Division of Genetics, Nikolaus-Fiebiger-Center for Molecular Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
- Medical Immunology Campus Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Schlossplatz 1, 91054, Erlangen, Germany.
| | - Matthias Tenbusch
- Institut für klinische und molekulare Virologie, Universitätsklinikum Erlangen und Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Schlossgarten 4, 91054, Erlangen, Germany
- Medical Immunology Campus Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Schlossplatz 1, 91054, Erlangen, Germany
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Hendrix N, Sidky H, Sahner DK. Influence of Prior SARS-CoV-2 Infection on COVID-19 Severity: Evidence from the National COVID Cohort Collaborative. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.08.03.23293612. [PMID: 38343824 PMCID: PMC10854322 DOI: 10.1101/2023.08.03.23293612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Background A large share of SARS-CoV-2 infections now occur among previously infected individuals. In this study, we sought to determine whether prior infection modifies disease severity relative to no prior infection. Methods We used data from first and second COVID-19 episodes in the National COVID Cohort Collaborative, a nationwide collection of de-identified electronic health records. We used nested logistic regressions of monthly cohorts weighted on the inverse probability of prior infection to assess risk of hospitalization, death, and increased severity in the first versus second infection cohorts. Results We included a total of 2,058,274 individuals in the analysis, 147,592 of whom had two recorded infections. The impact of prior infection differed meaningfully between months. Prior infection was largely protective prior to March 2022, with odds ratios (ORs) as low as 0.66 (95% confidence interval: 0.51 to 0.86) in November 2021 for hospitalization. and as low as 0.23 (0.06 to 0.86) in June 2021 for death. However, prior infection was associated with an increased risk of hospitalization and death, mostly after March 2022 when the ORs were as high as 1.87 (1.26 to 2.80) and 2.99 (1.65 to 5.41) in April 2022, respectively. The overall OR for more severe disease was 1.06 (1.03 to 1.10) among previously infected individuals. Conclusion In the pandemic's first two years, previously infected patients generally had less severe disease than people without prior infection. During the Omicron era, however, previously infected patients had the same or worse severity of disease as patients without prior infection.
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Affiliation(s)
- Nathaniel Hendrix
- Center for Professionalism and Value in Health Care, American Board of Family Medicine, 1016 16th St NW Ste 800, Washington, DC 20036
| | - Hythem Sidky
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - David K Sahner
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
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Hedberg P, Nauclér P. Post-COVID-19 Condition After SARS-CoV-2 Infections During the Omicron Surge vs the Delta, Alpha, and Wild Type Periods in Stockholm, Sweden. J Infect Dis 2024; 229:133-136. [PMID: 37665981 PMCID: PMC10786247 DOI: 10.1093/infdis/jiad382] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/16/2023] [Accepted: 08/31/2023] [Indexed: 09/06/2023] Open
Abstract
Little is known about the post-COVID-19 condition (PCC) after infections with different SARS-CoV-2 variants. We investigated the risk of PCC diagnosis after primary omicron infections as compared with preceding variants in population-based cohorts in Stockholm, Sweden. When compared with omicron (n = 215 279, 0.2% receiving a PCC diagnosis), the adjusted hazard ratio (95% CI) was 3.26 (2.80-3.80) for delta (n = 52 182, 0.5% PCC diagnosis), 5.33 (4.73-5.99) for alpha (n = 97 978, 1.0% PCC diagnosis), and 6.31 (5.64-7.06) for the wild type (n = 107 920, 1.3% PCC diagnosis). These findings were consistent across all subgroup analyses except among those treated in the intensive care unit.
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Affiliation(s)
| | - Pontus Nauclér
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
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Meinhardt J, Streit S, Dittmayer C, Manitius RV, Radbruch H, Heppner FL. The neurobiology of SARS-CoV-2 infection. Nat Rev Neurosci 2024; 25:30-42. [PMID: 38049610 DOI: 10.1038/s41583-023-00769-8] [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: 11/01/2023] [Indexed: 12/06/2023]
Abstract
Worldwide, over 694 million people have been infected with SARS-CoV-2, with an estimated 55-60% of those infected developing COVID-19. Since the beginning of the pandemic in December 2019, different variants of concern have appeared and continue to occur. With the emergence of different variants, an increasing rate of vaccination and previous infections, the acute neurological symptomatology of COVID-19 changed. Moreover, 10-45% of individuals with a history of SARS-CoV-2 infection experience symptoms even 3 months after disease onset, a condition that has been defined as 'post-COVID-19' by the World Health Organization and that occurs independently of the virus variant. The pathomechanisms of COVID-19-related neurological complaints have become clearer during the past 3 years. To date, there is no overt - that is, truly convincing - evidence for SARS-CoV-2 particles in the brain. In this Review, we put special emphasis on discussing the methodological difficulties of viral detection in CNS tissue and discuss immune-based (systemic and central) effects contributing to COVID-19-related CNS affection. We sequentially review the reported changes to CNS cells in COVID-19, starting with the blood-brain barrier and blood-cerebrospinal fluid barrier - as systemic factors from the periphery appear to primarily influence barriers and conduits - before we describe changes in brain parenchymal cells, including microglia, astrocytes, neurons and oligodendrocytes as well as cerebral lymphocytes. These findings are critical to understanding CNS affection in acute COVID-19 and post-COVID-19 in order to translate these findings into treatment options, which are still very limited.
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Affiliation(s)
- Jenny Meinhardt
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Simon Streit
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Carsten Dittmayer
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Regina V Manitius
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Helena Radbruch
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
| | - Frank L Heppner
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
- Cluster of Excellence, NeuroCure, Berlin, Germany.
- German Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany.
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Yoon H, Li Y, Goldfeld KS, Cobb GF, Sturm-Reganato CL, Ostrosky-Zeichner L, Jayaweera DT, Philley JV, Desruisseaux MS, Keller MJ, Hochman JS, Pirofski LA, Ortigoza MB. COVID-19 Convalescent Plasma Therapy: Long-term Implications. Open Forum Infect Dis 2024; 11:ofad686. [PMID: 38269049 PMCID: PMC10807994 DOI: 10.1093/ofid/ofad686] [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: 10/27/2023] [Accepted: 12/27/2023] [Indexed: 01/26/2024] Open
Abstract
Background The long-term effect of coronavirus disease 2019 (COVID-19) acute treatments on postacute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (PASC) is unknown. The CONTAIN-Extend study explores the long-term impact of COVID-19 convalescent plasma (CCP) therapy on postacute sequelae of SARS-CoV-2 infection (PASC) symptoms and general health 18 months following hospitalization. Methods The CONTAIN-Extend study examined 281 participants from the original CONTAIN COVID-19 trial (CONTAIN-RCT, NCT04364737) at 18 months post-hospitalization for acute COVID-19. Symptom surveys, global health assessments, and biospecimen collection were performed from November 2021 to October 2022. Multivariable logistic and linear regression estimated associations between the randomization arms and self-reported symptoms and Patient-Reported Outcomes Measurement Information System (PROMIS) scores and adjusted for covariables, including age, sex, race/ethnicity, disease severity, and CONTAIN enrollment quarter and sites. Results There were no differences in symptoms or PROMIS scores between CCP and placebo (adjusted odds ratio [aOR] of general symptoms, 0.95; 95% CI, 0.54-1.67). However, females (aOR, 3.01; 95% CI, 1.73-5.34), those 45-64 years (aOR, 2.55; 95% CI, 1.14-6.23), and April-June 2020 enrollees (aOR, 2.39; 95% CI, 1.10-5.19) were more likely to report general symptoms and have poorer PROMIS physical health scores than their respective reference groups. Hispanic participants (difference, -3.05; 95% CI, -5.82 to -0.27) and Black participants (-4.48; 95% CI, -7.94 to -1.02) had poorer PROMIS physical health than White participants. Conclusions CCP demonstrated no lasting effect on PASC symptoms or overall health in comparison to the placebo. This study underscores the significance of demographic factors, including sex, age, and timing of acute infection, in influencing symptom reporting 18 months after acute hypoxic COVID-19 hospitalization.
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Affiliation(s)
- Hyunah Yoon
- Division of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA
| | - Yi Li
- Division of Biostatistics, Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA
| | - Keith S Goldfeld
- Division of Biostatistics, Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA
| | - Gia F Cobb
- Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | | | - Luis Ostrosky-Zeichner
- Division of Infectious Diseases, Department of Internal Medicine, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, Texas, USA
| | - Dushyantha T Jayaweera
- Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida, USA
- Miami Clinical and Translational Science Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Julie V Philley
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, The University of Texas Health Science Center at Tyler, UTHealth East Texas, Tyler, Texas, USA
| | - Mahalia S Desruisseaux
- Section of Infectious Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Marla J Keller
- Division of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA
- Harold and Muriel Block Institute for Clinical and Translational Research, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA
| | - Judith S Hochman
- Leon H. Charney Division of Cardiology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Liise-anne Pirofski
- Division of Infectious Diseases, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Mila B Ortigoza
- Division of Infectious Diseases, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
- Department of Microbiology, NYU Grossman School of Medicine, New York, New York, USA
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Demirhan S, Goldman DL, Herold BC. Differences in the Clinical Manifestations and Host Immune Responses to SARS-CoV-2 Variants in Children Compared to Adults. J Clin Med 2023; 13:128. [PMID: 38202135 PMCID: PMC10780117 DOI: 10.3390/jcm13010128] [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: 11/24/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
The COVID-19 pandemic challenged the medical field to rapidly identify and implement new approaches to the diagnosis, treatment and prevention of SARS-CoV-2 infections. The scientific community also needed to rapidly initiate basic, translational, clinical and epidemiological studies to understand the pathophysiology of this new family of viruses, which continues to evolve with the emergence of new genetic variants. One of the earliest clinical observations that provided a framework for the research was the finding that, in contrast to most other respiratory viruses, children developed less severe acute and post-acute disease compared to adults. Although the clinical manifestations of SARS-CoV-2 infection changed with each new wave of the pandemic, which was dominated by evolving viral variants, the differences in severity between children and adults persisted. Comparative immunologic studies have shown that children mount a more vigorous local innate response characterized by the activation of interferon pathways and recruitment of innate cells to the mucosa, which may mitigate against the hyperinflammatory adaptive response and systemic cytokine release that likely contributed to more severe outcomes including acute respiratory distress syndrome in adults. In this review, the clinical manifestations and immunologic responses in children during the different waves of COVID-19 are discussed.
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Affiliation(s)
| | | | - Betsy C. Herold
- Department of Pediatrics, Division of Infectious Diseases, Albert Einstein College of Medicine, The Children’s Hospital at Montefiore, 1225 Morris Park Avenue, Bronx, NY 10461, USA; (S.D.); (D.L.G.)
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Wei WQ, Guardo C, Gandireddy S, Yan C, Ong H, Kerchberger V, Dickson A, Pfaff E, Master H, Basford M, Tran N, Mancuso S, Syed T, Zhao Z, Feng Q, Haendel M, Lunt C, Ginsburg G, Chute C, Denny J, Roden D. Genetic and Survey Data Improves Performance of Machine Learning Model for Long COVID. RESEARCH SQUARE 2023:rs.3.rs-3749510. [PMID: 38196610 PMCID: PMC10775401 DOI: 10.21203/rs.3.rs-3749510/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Over 200 million SARS-CoV-2 patients have or will develop persistent symptoms (long COVID). Given this pressing research priority, the National COVID Cohort Collaborative (N3C) developed a machine learning model using only electronic health record data to identify potential patients with long COVID. We hypothesized that additional data from health surveys, mobile devices, and genotypes could improve prediction ability. In a cohort of SARS-CoV-2 infected individuals (n=17,755) in the All of Us program, we applied and expanded upon the N3C long COVID prediction model, testing machine learning infrastructures, assessing model performance, and identifying factors that contributed most to the prediction models. For the survey/mobile device information and genetic data, extreme gradient boosting and a convolutional neural network delivered the best performance for predicting long COVID, respectively. Combined survey, genetic, and mobile data increased specificity and the Area Under Curve the Receiver Operating Characteristic score versus the original N3C model.
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Affiliation(s)
| | | | | | - Chao Yan
- Vanderbilt University Medical Center
| | - Henry Ong
- Vanderbilt University Medical Center
| | | | | | | | | | - Melissa Basford
- Vanderbilt Institute of Clinical and Translational Research/Vanderbilt University Medical Center
| | | | | | | | | | - QiPing Feng
- Department of Medicine, Vanderbilt University Medical Center
| | | | | | | | | | - Joshua Denny
- All of Us Research Program, National Institutes of Health
| | - Dan Roden
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
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El-Toukhy S, Hegeman P, Zuckerman G, Anirban RD, Moses N, Troendle JF, Powell-Wiley TM. A prospective natural history study of post acute sequalae of COVID-19 using digital wearables: Study protocol. RESEARCH SQUARE 2023:rs.3.rs-3694818. [PMID: 38105936 PMCID: PMC10723530 DOI: 10.21203/rs.3.rs-3694818/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background Post-acute sequelae of COVID-19 (PASC) is characterized by having 1 + persistent, recurrent, or emergent symptoms post the infection's acute phase. The duration and symptom manifestation of PASC remain understudied in nonhospitalized patients. Literature on PASC is primarily based on data from hospitalized patients where clinical indicators such as respiratory rate, heart rate, and oxygen saturation have been predictive of disease trajectories. Digital wearables allow for a continuous collection of such physiological parameters. This protocol outlines the design, aim, and procedures of a natural history study of PASC using digital wearables. Methods This is a single-arm, prospective, natural history study of a cohort of 550 patients, ages 18 to 65 years old, males or females who own a smartphone and/or a tablet that meets pre-determined Bluetooth version and operating system requirements, speak English, and provide documentation of a positive COVID-19 test issued by a healthcare professional or organization within 5 days before enrollment. The study aims to identify wearables collected physiological parameters that are associated with PASC in patients with a positive diagnosis. The primary endpoint is long COVID-19, defined as ≥ 1 symptom at 3 weeks beyond first symptom onset or positive diagnosis, whichever comes first. The secondary endpoint is chronic COVID-19, defined as ≥ 1 symptom at 12 weeks beyond first symptom onset or positive diagnosis. We hypothesize that physiological parameters collected via wearables are associated with self-reported PASC. Participants must be willing and able to consent to participate in the study and adhere to study procedures for six months. Discussion This is a fully decentralized study investigating PASC using wearable devices to collect physiological parameters and patient-reported outcomes. Given evidence on key demographics and risk profiles associated with PASC, the study will shed light on the duration and symptom manifestation of PASC in nonhospitalized patient subgroups and is an exemplar of use of wearables as population-level monitoring health tools for communicable diseases. Trial registration ClinicalTrials.gov NCT04927442.
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Affiliation(s)
| | - Phillip Hegeman
- National Institute on Minority Health and Health Disparities
| | | | | | - Nia Moses
- National Institute on Minority Health and Health Disparities
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Jin W, Hao W, Shi X, Fritsche LG, Salvatore M, Admon AJ, Friese CR, Mukherjee B. Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm. J Clin Med 2023; 12:7313. [PMID: 38068365 PMCID: PMC10707399 DOI: 10.3390/jcm12237313] [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: 09/29/2023] [Revised: 11/16/2023] [Accepted: 11/20/2023] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Post-Acute Sequelae of COVID-19 (PASC) have emerged as a global public health and healthcare challenge. This study aimed to uncover predictive factors for PASC from multi-modal data to develop a predictive model for PASC diagnoses. METHODS We analyzed electronic health records from 92,301 COVID-19 patients, covering medical phenotypes, medications, and lab results. We used a Super Learner-based prediction approach to identify predictive factors. We integrated the model outputs into individual and composite risk scores and evaluated their predictive performance. RESULTS Our analysis identified several factors predictive of diagnoses of PASC, including being overweight/obese and the use of HMG CoA reductase inhibitors prior to COVID-19 infection, and respiratory system symptoms during COVID-19 infection. We developed a composite risk score with a moderate discriminatory ability for PASC (covariate-adjusted AUC (95% confidence interval): 0.66 (0.63, 0.69)) by combining the risk scores based on phenotype and medication records. The combined risk score could identify 10% of individuals with a 2.2-fold increased risk for PASC. CONCLUSIONS We identified several factors predictive of diagnoses of PASC and integrated the information into a composite risk score for PASC prediction, which could contribute to the identification of individuals at higher risk for PASC and inform preventive efforts.
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Affiliation(s)
- Weijia Jin
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (W.J.)
- Center for Precision Health Data Science, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Wei Hao
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (W.J.)
- Center for Precision Health Data Science, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Xu Shi
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (W.J.)
| | - Lars G. Fritsche
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (W.J.)
| | - Maxwell Salvatore
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (W.J.)
- Center for Precision Health Data Science, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Andrew J. Admon
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- VA Center for Clinical Management Research, Ann Arbor, MI 48109, USA
- LTC Charles S. Kettles VA Medical Center, Ann Arbor, MI 48109, USA
| | - Christopher R. Friese
- School of Nursing, University of Michigan, Ann Arbor, MI 48109, USA
- Institute for Healthcare Policy and Innovation, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (W.J.)
- Center for Precision Health Data Science, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
- Institute for Healthcare Policy and Innovation, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
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Bellanti JA, Novak P, Faitelson Y, Bernstein JA, Castells MC. The Long Road of Long COVID: Specific Considerations for the Allergist/Immunologist. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2023; 11:3335-3345. [PMID: 37774781 DOI: 10.1016/j.jaip.2023.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/08/2023] [Accepted: 09/18/2023] [Indexed: 10/01/2023]
Abstract
Long COVID (coronavirus disease 2019) syndrome, also known as post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is a new disorder that can develop after an acute infection with the SARS-CoV-2 virus. The condition is characterized by multiorgan system involvement with a wide range of symptoms that can vary in severity from mild to debilitating. Some of the common symptoms associated with long COVID syndrome include cardiovascular issues such as heart palpitations and chest pain; thrombotic events (eg, blood clotting disorders); metabolic problems (eg, type 2 diabetes); dysautonomia; paroxysmal orthostatic tachycardia syndrome; myalgic encephalomyelitis/chronic fatigue syndrome; reactivation of the Epstein-Barr virus; the presence of autoantibodies; chronic spontaneous urticaria (hives); and connective tissue diseases. Whereas long COVID syndrome can affect individuals from various backgrounds, certain populations may be at higher risk such as individuals of Hispanic and Latino heritage, as well as those with low socioeconomic status, although approximately one-third of affected patients have no known risk factors or preexisting conditions. Many survivors of COVID-19 struggle with multiple symptoms, increased disability, reduced function, and poor quality of life. Whereas vaccination has been the most significant intervention able to decrease the severity of acute SARS-Cov2 infection and curtail deaths, limited data are available related to its modulating effect on long COVID necessitating the need for further investigation. Furthermore, several inflammatory pathways have been proposed for the pathogenesis of long COVID that are the targets for ongoing clinical studies evaluating novel pharmacological agents. The purpose of the present report is to review the many factors associated with long COVID with a focus on those aspects that have relevance to the allergist-immunologist.
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Affiliation(s)
- Joseph A Bellanti
- Department of Pediatrics and Department of Microbiology-Immunology, Georgetown University School of Medicine; International Center for Interdisciplinary Studies of Immunology (ICISI), Georgetown University Medical Center, Washington, DC
| | - Peter Novak
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass
| | - Yoram Faitelson
- Department of Pediatrics Allergy and Immunology, Schneider Children's Hospital, Petach Tikva, Israel
| | - Jonathan A Bernstein
- Department of Internal Medicine, Division of Rheumatology, Allergy and Immunology, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Mariana C Castells
- Drug Hypersensitivity and Desensitization Center and Mastocytosis Center, Brigham and Women's Hospital Division of Allergy and Immunology, Harvard Medical School, Boston, Mass.
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Razzaghi H, Forrest CB, Hirabayashi K, Wu Q, Allen A, Rao S, Chen Y, Bunnell HT, Chrischilles EA, Cowell LG, Cummins MR, Hanauer DA, Higginbotham M, Horne BD, Horowitz CR, Jhaveri R, Kim S, Mishkin A, Muszynski JA, Naggie S, Pajor NM, Paranjape A, Schwenk HT, Sills MR, Tedla YG, Williams DA, Bailey C. Vaccine Effectiveness Against Long COVID in Children: A Report from the RECOVER EHR Cohort. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.27.23296100. [PMID: 37808803 PMCID: PMC10557822 DOI: 10.1101/2023.09.27.23296100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Objective Vaccination reduces the risk of acute COVID-19 in children, but it is less clear whether it protects against long COVID. We estimated vaccine effectiveness (VE) against long COVID in children aged 5-17 years. Methods This retrospective cohort study used data from 17 health systems in the RECOVER PCORnet electronic health record (EHR) Program for visits between vaccine availability, and October 29, 2022. Conditional logistic regression was used to estimate VE against long COVID with matching on age group (5-11, 12-17) and time period and adjustment for sex, ethnicity, health system, comorbidity burden, and pre-exposure health care utilization. We examined both probable (symptom-based) and diagnosed long COVID in the year following vaccination. Results The vaccination rate was 56% in the cohort of 1,037,936 children. The incidence of probable long COVID was 4.5% among patients with COVID-19, while diagnosed long COVID was 0.7%. Adjusted vaccine effectiveness within 12 months was 35.4% (95 CI 24.5 - 44.5) against probable long COVID and 41.7% (15.0 - 60.0) against diagnosed long COVID. VE was higher for adolescents 50.3% [36.3 - 61.0]) than children aged 5-11 (23.8% [4.9 - 39.0]). VE was higher at 6 months (61.4% [51.0 - 69.6]) but decreased to 10.6% (-26.8 - 37.0%) at 18-months. Discussion This large retrospective study shows a moderate protective effect of SARS-CoV-2 vaccination against long COVID. The effect is stronger in adolescents, who have higher risk of long COVID, and wanes over time. Understanding VE mechanism against long COVID requires more study, including EHR sources and prospective data. Article Summary Vaccination against COVID-19 has a protective effect against long COVID in children and adolescents. The effect wanes over time but remains significant at 12 months. What’s Known on This Subject Vaccines reduce the risk and severity of COVID-19 in children. There is evidence for reduced long COVID risk in adults who are vaccinated, but little information about similar effects for children and adolescents, who have distinct forms of long COVID. What This Study Adds Using electronic health records from US health systems, we examined large cohorts of vaccinated and unvaccinated patients <18 years old and show that vaccination against COVID-19 is associated with reduced risk of long COVID for at least 12 months. Contributors’ Statement Drs. Hanieh Razzaghi and Charles Bailey conceptualized and designed the study, supervised analyses, drafted the initial manuscript, and critically reviewed and revised the manuscript.Drs. Christopher Forrest and Yong Chen designed the study and critically reviewed and revised the manuscript.Ms. Kathryn Hirabayashi, Ms. Andrea Allen, and Dr. Qiong Wu conducted analyses, and critically reviewed and revised the manuscript.Drs. Suchitra Rao, H Timothy Bunnell, Elizabeth A. Chrischilles, Lindsay G. Cowell, Mollie R. Cummins, David A. Hanauer, Benjamin D. Horne, Carol R. Horowitz, Ravi Jhaveri, Susan Kim, Aaron Mishkin, Jennifer A. Muszynski, Susanna Nagie, Nathan M. Pajor, Anuradha Paranjape, Hayden T. Schwenk, Marion R. Sills, Yacob G. Tedla, David A. Williams, and Ms. Miranda Higginbotham critically reviewed and revised the manuscript.All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work. Authorship statement Authorship has been determined according to ICMJE recommendations.
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Rzymski P, Pokorska-Śpiewak M, Jackowska T, Kuchar E, Nitsch-Osuch A, Pawłowska M, Babicki M, Jaroszewicz J, Szenborn L, Wysocki J, Flisiak R. Key Considerations during the Transition from the Acute Phase of the COVID-19 Pandemic: A Narrative Review. Vaccines (Basel) 2023; 11:1502. [PMID: 37766178 PMCID: PMC10537111 DOI: 10.3390/vaccines11091502] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 09/12/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
The COVID-19 pandemic has been met with an unprecedented response from the scientific community, leading to the development, investigation, and authorization of vaccines and antivirals, ultimately reducing the impact of SARS-CoV-2 on global public health. However, SARS-CoV-2 is far from being eradicated, continues to evolve, and causes substantial health and economic burdens. In this narrative review, we posit essential points on SARS-CoV-2 and its responsible management during the transition from the acute phase of the COVID-19 pandemic. As discussed, despite Omicron (sub)variant(s) causing clinically milder infections, SARS-CoV-2 is far from being a negligible pathogen. It requires continued genomic surveillance, particularly if one considers that its future (sub)lineages do not necessarily have to be milder. Antivirals and vaccines remain the essential elements in COVID-19 management. However, the former could benefit from further development and improvements in dosing, while the seasonal administration of the latter requires simplification to increase interest and tackle vaccine hesitancy. It is also essential to ensure the accessibility of COVID-19 pharmaceuticals and vaccines in low-income countries and improve the understanding of their use in the context of the long-term goals of SARS-CoV-2 management. Regardless of location, the primary role of COVID-19 awareness and education must be played by healthcare workers, who directly communicate with patients and serve as role models for healthy behaviors.
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Affiliation(s)
- Piotr Rzymski
- Department of Environmental Medicine, Poznan University of Medical Sciences, 60-806 Poznań, Poland
| | - Maria Pokorska-Śpiewak
- Department of Children’s Infectious Diseases, Medical University of Warsaw, 02-091 Warsaw, Poland;
| | - Teresa Jackowska
- Department of Pediatrics, Centre for Postgraduate Medical Education, 01-813 Warsaw, Poland;
| | - Ernest Kuchar
- Department of Pediatrics with Clinical Assessment Unit, Medical University of Warsaw, 02-091 Warsaw, Poland;
| | - Aneta Nitsch-Osuch
- Department of Social Medicine and Public Health, Medical University of Warsaw, 02-007 Warsaw, Poland;
| | - Małgorzata Pawłowska
- Department of Infectious Diseases and Hepatology, Faculty of Medicine, Collegium Medicum, Nicolaus Copernicus University, 85-067 Bydgoszcz, Poland;
| | - Mateusz Babicki
- Department of Family Medicine, Wroclaw Medical University, 51-141 Wroclaw, Poland;
| | - Jerzy Jaroszewicz
- Department of Infectious Diseases and Hepatology, Medical University of Silesia, 41-902 Bytom, Poland;
| | - Leszek Szenborn
- Department of Pediatric Infectious Diseases, Wrocław Medical University, 50-367 Wroclaw, Poland;
| | - Jacek Wysocki
- Department of Preventive Medicine, Poznan University of Medical Sciences, 61-701 Poznań, Poland;
| | - Robert Flisiak
- Department of Infectious Diseases and Hepatology, Medical University of Białystok, 15-089 Bialystok, Poland;
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Yadaw AS, Sahner DK, Sidky H, Afzali B, Hotaling N, Pfaff ER, Mathé EA. Preexisting Autoimmunity Is Associated With Increased Severity of Coronavirus Disease 2019: A Retrospective Cohort Study Using Data From the National COVID Cohort Collaborative (N3C). Clin Infect Dis 2023; 77:816-826. [PMID: 37207367 PMCID: PMC10506777 DOI: 10.1093/cid/ciad294] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/05/2023] [Accepted: 05/12/2023] [Indexed: 05/21/2023] Open
Abstract
BACKGROUND Identifying individuals with a higher risk of developing severe coronavirus disease 2019 (COVID-19) outcomes will inform targeted and more intensive clinical monitoring and management. To date, there is mixed evidence regarding the impact of preexisting autoimmune disease (AID) diagnosis and/or immunosuppressant (IS) exposure on developing severe COVID-19 outcomes. METHODS A retrospective cohort of adults diagnosed with COVID-19 was created in the National COVID Cohort Collaborative enclave. Two outcomes, life-threatening disease and hospitalization, were evaluated by using logistic regression models with and without adjustment for demographics and comorbidities. RESULTS Of the 2 453 799 adults diagnosed with COVID-19, 191 520 (7.81%) had a preexisting AID diagnosis and 278 095 (11.33%) had a preexisting IS exposure. Logistic regression models adjusted for demographics and comorbidities demonstrated that individuals with a preexisting AID (odds ratio [OR], 1.13; 95% confidence interval [CI]: 1.09-1.17; P < .001), IS exposure (OR, 1.27; 95% CI: 1.24-1.30; P < .001), or both (OR, 1.35; 95% CI: 1.29-1.40; P < .001) were more likely to have a life-threatening disease. These results were consistent when hospitalization was evaluated. A sensitivity analysis evaluating specific IS revealed that tumor necrosis factor inhibitors were protective against life-threatening disease (OR, 0.80; 95% CI: .66-.96; P = .017) and hospitalization (OR, 0.80; 95% CI: .73-.89; P < .001). CONCLUSIONS Patients with preexisting AID, IS exposure, or both are more likely to have a life-threatening disease or hospitalization. These patients may thus require tailored monitoring and preventative measures to minimize negative consequences of COVID-19.
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Affiliation(s)
- Arjun S Yadaw
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - David K Sahner
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Hythem Sidky
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Behdad Afzali
- Immunoregulation Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Nathan Hotaling
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Emily R Pfaff
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ewy A Mathé
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
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