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DiMura PM, Wagner VL, Robertson TW, Wu M, Conroy MB, Josberger R. Identifying Post-Acute Sequelae of SARS-CoV-2 Among Children in New York State Medicaid Managed Care. J Community Health 2024; 49:869-878. [PMID: 38796597 DOI: 10.1007/s10900-024-01363-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2024] [Indexed: 05/28/2024]
Abstract
Persons who contract COVID-19 are at risk of developing post-acute sequelae of SARS-CoV-2 (PASC). The objective of this study was to describe the incidence of PASC in a pediatric Medicaid population. Using a retrospective cohort of children enrolled in New York State Medicaid Managed Care we compared incident diagnoses between children with a positive laboratory test for SARS-CoV-2 in 2021 to children without a positive test in 2021 and children with a viral respiratory diagnosis in 2019. Logistic regression models estimated adjusted odds ratios using the Cohen's d statistic to assess the strength of associations. Most unadjusted incidence of clinical outcomes were less than 1% for all cohorts. Relative to the 2021 comparison cohort, significant increases among SARS-CoV-2 cases were observed in sequela of infectious disease conditions, general signs and symptoms, and pericarditis and pericardial disease and for the 2019 comparison, sequela of infectious disease conditions and suicidal ideation. However, associations were mostly determined to be weak or marginal. In this low socioeconomic status pediatric population, incidence of new clinical sequelae was low with mostly weak or marginal increases associated with SARS-CoV-2 infection. Though the incidence was low, some outcomes may be severe. Observed associations may have been impacted by pandemic behavior modification including social distancing policies.
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Affiliation(s)
- Philip M DiMura
- Center for Applied Research and Evaluation, Office of Health Service Quality and Analytics, New York State Department of Health, Albany, NY, 12237, USA.
| | - Victoria L Wagner
- Center for Applied Research and Evaluation, Office of Health Service Quality and Analytics, New York State Department of Health, Albany, NY, 12237, USA
| | - Tom W Robertson
- Center for Applied Research and Evaluation, Office of Health Service Quality and Analytics, New York State Department of Health, Albany, NY, 12237, USA
| | - Meng Wu
- Center for Applied Research and Evaluation, Office of Health Service Quality and Analytics, New York State Department of Health, Albany, NY, 12237, USA
| | - Mary Beth Conroy
- Center for Applied Research and Evaluation, Office of Health Service Quality and Analytics, New York State Department of Health, Albany, NY, 12237, USA
| | - Raina Josberger
- Center for Applied Research and Evaluation, Office of Health Service Quality and Analytics, New York State Department of Health, Albany, NY, 12237, USA
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2
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Chan HY. Wearable Devices for Long COVID: Prospects, Challenges and Options. Asian Bioeth Rev 2024; 16:757-769. [PMID: 39398460 PMCID: PMC11465094 DOI: 10.1007/s41649-023-00272-3] [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: 08/17/2023] [Revised: 11/15/2023] [Accepted: 11/28/2023] [Indexed: 10/15/2024] Open
Abstract
Post COVID-19 infections resulting in long COVID symptoms remain persistent yet neglected in healthcare priorities. Although long COVID symptoms are expected to decline after some time, many people continue to endure its debilitating effects affecting their daily lives. The diversity of characteristics amongst long COVID patients adds to the complexity of communicating personal health predicaments to healthcare providers. Recent research towards building an evidence base for long COVID with the aim of delivering responsive healthcare interventions for long COVID patients has utilised datasets generated from wearable devices. This paper examines the prospects presented by wearable devices for long COVID patients and physicians. It highlights distinct ethical and legal challenges arising from their use in practice. Several recommendations aiming to support their usage amongst long COVID patients are outlined for future research using wearable devices for long COVID treatment.
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Affiliation(s)
- Hui Yun Chan
- Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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3
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Li S, Du Z, Ma H, Cai L, Liu X, He J. Mendelian randomization provides causal association between COVID-19 and thyroid cancer: insights from a multi-cancer analysis. Front Oncol 2024; 14:1419020. [PMID: 39319057 PMCID: PMC11419959 DOI: 10.3389/fonc.2024.1419020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 08/19/2024] [Indexed: 09/26/2024] Open
Abstract
Since the onset of the COVID-19 pandemic, the SARS-CoV-2 virus has caused over 600 million confirmed infections and more than 6.8 million deaths worldwide, with ongoing implications for human health. COVID-19 has been extensively documented to have extrapulmonary manifestations due to the widespread expression of necessary ACE2 receptors in the human body. Nevertheless, the association between COVID-19 and cancer risk remains inadequately explored. This study employs Mendelian randomization (MR) methods to examine the causal relationship between genetic variations associated with COVID-19 and the risk of developing cancer. The findings indicate that COVID-19 has negligible impact on most cancer risks. Interestingly, a higher COVID-19 impact is associated with a decreased risk of thyroid cancer. In summary, our findings demonstrate a genetic correlation between COVID-19 and thyroid cancer, contributing to our understanding of the interplay between COVID-19 and cancer risk.
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Affiliation(s)
- Shuhong Li
- Department of Oncology, Chengdu Second People’s Hospital, Chengdu, China
| | - Zedong Du
- Department of Oncology, Chengdu Second People’s Hospital, Chengdu, China
| | - Hui Ma
- Department of Oncology, Chengdu Second People’s Hospital, Chengdu, China
| | - Liang Cai
- Department of Oncology, Chengdu Second People’s Hospital, Chengdu, China
| | - Xiao Liu
- Department of Oncology, Chengdu Second People’s Hospital, Chengdu, China
| | - Jie He
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
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Jáuregui-Renaud K, Cooper-Bribiesca D, Miguel-Puga JA, Alcantara-Calderón Y, Roaro-Figueroa MF, Herrera-Ocampo M, Guzmán-Chacón MJ. Quality of Sleep and Mental Symptoms Contribute to Health-Related Quality of Life after COVID-19 Pneumonia, a Follow-Up Study of More than 2 Years. Biomedicines 2024; 12:1574. [PMID: 39062147 PMCID: PMC11275141 DOI: 10.3390/biomedicines12071574] [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: 06/17/2024] [Revised: 07/11/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
A follow-up study was designed to assess correlations among physical signs, quality of sleep, common mental symptoms, and health-related quality of life after moderate to severe COVID-19 pneumonia. Daily changes in dyspnoea and pulse oximetry were recorded (200 days), and four evaluations (in >2 years) were performed on quality of sleep, mental symptoms, cognitive performance, and health-related quality of life. In a single center, 72 adults participated in the study (52.5 ± 13.7 years old), with no psychiatry/neurology/chronic lung/infectious diseases, chronic use of corticosteroids/immunosuppressive therapy, or pregnancy. Daily agendas showed delayed decreases in dyspnoea scores compared to pulse oximetry and heart rate recordings; however, changes in pulse oximetry were minimal. Slight changes in cognitive performance were related to the general characteristics of the participants (obesity and tobacco use) and with the severity of acute disease (MANCOVA, p < 0.001). Health-related quality of life gradually improved (MANCOVA, p < 0.004). During recovery, bad quality of sleep and mental symptoms (mainly attention/concentration) contributed to the subscores on health perception and vitality in the health-related quality of life assessment. Early mental support services including sleep hygiene could be beneficial during rehabilitation after acute COVID-19.
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Affiliation(s)
- Kathrine Jáuregui-Renaud
- Unidad de Investigación Médica en Otoneurología, Instituto Mexicano del Seguro Social, Ciudad de México 06720, Mexico; (D.C.-B.); (J.A.M.-P.)
| | - Davis Cooper-Bribiesca
- Unidad de Investigación Médica en Otoneurología, Instituto Mexicano del Seguro Social, Ciudad de México 06720, Mexico; (D.C.-B.); (J.A.M.-P.)
- Departamento de Psiquiatría, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México 06720, Mexico; (Y.A.-C.); (M.J.G.-C.)
| | - José Adán Miguel-Puga
- Unidad de Investigación Médica en Otoneurología, Instituto Mexicano del Seguro Social, Ciudad de México 06720, Mexico; (D.C.-B.); (J.A.M.-P.)
| | - Yadira Alcantara-Calderón
- Departamento de Psiquiatría, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México 06720, Mexico; (Y.A.-C.); (M.J.G.-C.)
| | - María Fernanda Roaro-Figueroa
- Programa de Apoyo y Fomento a la Investigación Estudiantil, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico; (M.F.R.-F.); (M.H.-O.)
| | - Mariana Herrera-Ocampo
- Programa de Apoyo y Fomento a la Investigación Estudiantil, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico; (M.F.R.-F.); (M.H.-O.)
| | - Melodie Jedid Guzmán-Chacón
- Departamento de Psiquiatría, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México 06720, Mexico; (Y.A.-C.); (M.J.G.-C.)
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5
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Gonçalves BP. Re: "Postacute symptoms 4 months after SARS-CoV-2 infection during the Omicron period: a nationwide Danish questionnaire study". Am J Epidemiol 2024; 193:1059-1060. [PMID: 38497541 DOI: 10.1093/aje/kwae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 02/27/2024] [Accepted: 03/12/2024] [Indexed: 03/19/2024] Open
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Hamlet A, Hoffman D, Saydah S, Painter I. Estimating the Burden and Distribution of Post-COVID-19 Condition in Washington State, March 2020-October 2023. Prev Chronic Dis 2024; 21:E47. [PMID: 38935604 PMCID: PMC11230520 DOI: 10.5888/pcd21.230433] [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: 06/29/2024] Open
Abstract
Introduction After SARS-CoV-2 infection, some people will experience long-term sequelae known as post-COVID-19 condition (PCC). Although PCC is recognized as a public health problem, estimates of the prevalence of PCC are sparse. We described a framework for estimating the incidence and prevalence of PCC by population subgroups and geography over time in Washington State. Methods We collected data on reported COVID-19 cases and hospitalizations and estimated SARS-CoV-2 infections in Washington State from March 2020 through October 2023. The reported case data were incorporated with parameter estimates from published articles and prevalence estimates from the Household Pulse Survey into a mathematical compartmental model of PCC progression. The model used differential equations to describe how the population of people with PCC moved through the model's various stages. This framework allowed us to integrate data on age group, sex, race and ethnicity, vaccination status, and county to estimate incidence and prevalence of PCC for each subgroup. Results Our model indicated that 6.4% (95% CI, 5.9%-6.8%) of all adults in Washington State were experiencing PCC as of October 2023. In addition to temporal differences in PCC prevalence and incidence, we found substantial differences across age groups, race and ethnicity, and sex. Geographic heterogeneity was pronounced, with the highest rates of PCC in central and eastern Washington. Conclusion Estimation of PCC prevalence is essential for addressing PCC as a public health problem. Responding to PCC will require continued surveillance, research, and dedicated financial and public health action. This analysis, accounting for heterogeneities, highlights disparities in the prevalence, incidence, and distribution of PCC in Washington State and can better guide awareness and response efforts.
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Affiliation(s)
- Arran Hamlet
- Epidemic Intelligence Service, Division of Workforce Development, Centers for Disease Control and Prevention, Atlanta, Georgia
- Washington State Department of Health, 1610 NE 150th St, Shoreline, WA 98155
| | - Daniel Hoffman
- Washington State Department of Health, Shoreline, Washington
| | - Sharon Saydah
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Ian Painter
- Washington State Department of Health, Shoreline, Washington
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Binswanger IA, Palmer-Toy DE, Barrow JC, Narwaney KJ, Bruxvoort KJ, Kraus CR, Lyons JA, Lam JA, Glanz JM. Assessing the association between antibody status and symptoms of long COVID: A multisite study. PLoS One 2024; 19:e0304262. [PMID: 38843198 PMCID: PMC11156415 DOI: 10.1371/journal.pone.0304262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 05/09/2024] [Indexed: 06/09/2024] Open
Abstract
The association between SARS-CoV-2 humoral immunity and post-acute sequelae of COVID-19 (long COVID) remains uncertain. The objective of this population-based cohort study was to assess the association between SARS-CoV-2 seropositivity and symptoms consistent with long COVID. English and Spanish-speaking members ≥ 18 years old with SARS-CoV-2 serologic testing conducted prior to August 2021 were recruited from Kaiser Permanente Southern California and Kaiser Permanente Colorado. Between November 2021 and April 2022, participants completed a survey assessing symptoms, physical health, mental health, and cognitive function consistent with long COVID. Survey results were linked to SARS-CoV-2 antibody (Ab) and viral (RNA) lab results in electronic health records. Weighted descriptive analyses were generated for five mutually exclusive patient groups: (1) +Ab/+RNA; (2) +Ab/- or missing RNA; (3) -Ab/+RNA; (4a) -Ab/-RNA reporting no prior infection; and (4b) -Ab/-RNA reporting prior infection. The proportions reporting symptoms between the +Ab/+RNA and -Ab/+RNA groups were compared, adjusted for covariates. Among 3,946 participants, the mean age was 52.1 years old (SD 15.6), 68.3% were female, 28.4% were Hispanic, and the serologic testing occurred a median of 15 months prior (IQR = 12-18). Three quarters (74.5%) reported having had COVID-19. Among people with laboratory-confirmed COVID-19, there was no association between antibody positivity (+Ab/+RNA vs. -Ab/+RNA) and any symptoms, physical health, mental health, or cognitive function. As expected, physical health, cognitive function, and fatigue were worse, and palpitations and headaches limiting the ability to work were more prevalent among people with laboratory-confirmed prior infection and positive serology (+Ab/+RNA) compared to those without reported or confirmed prior infection and negative serology (-Ab/-RNA/no reported COVID-19). Among people with laboratory-confirmed COVID-19, SARS-CoV-2 serology from practice settings were not associated with long COVID symptoms and health status suggesting limited utility of serology testing for long COVID.
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Affiliation(s)
- Ingrid A. Binswanger
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, United States of America
- Colorado Permanente Medical Group, Aurora, Colorado, United States of America
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States of America
- Bernard J. Tyson School of Medicine, Pasadena, California, United States of America
| | - Darryl E. Palmer-Toy
- Southern California Permanente Medical Group Regional Reference Laboratories, North Hollywood & Chino Hills, California, United States of America
| | - Jennifer C. Barrow
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, United States of America
| | - Komal J. Narwaney
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, United States of America
| | - Katia J. Bruxvoort
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Courtney R. Kraus
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, United States of America
| | - Jason A. Lyons
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, United States of America
| | - Jessica A. Lam
- Department of Clinical Analysis at Southern California Permanente Medical Group, California, CA, United States of America
| | - Jason M. Glanz
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, United States of America
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, United States of America
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Song X, Song W, Cui L, Duong TQ, Pandy R, Liu H, Zhou Q, Sun J, Liu Y, Li T. A Comprehensive Review of the Global Epidemiology, Clinical Management, Socio-Economic Impacts, and National Responses to Long COVID with Future Research Directions. Diagnostics (Basel) 2024; 14:1168. [PMID: 38893693 PMCID: PMC11171614 DOI: 10.3390/diagnostics14111168] [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: 04/24/2024] [Revised: 05/14/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
Background: Long COVID, characterized by a persistent symptom spectrum following SARS-CoV-2 infection, poses significant health, social, and economic challenges. This review aims to consolidate knowledge on its epidemiology, clinical features, and underlying mechanisms to guide global responses; Methods: We conducted a literature review, analyzing peer-reviewed articles and reports to gather comprehensive data on long COVID's epidemiology, symptomatology, and management approaches; Results: Our analysis revealed a wide array of long COVID symptoms and risk factors, with notable demographic variability. The current understanding of its pathophysiology suggests a multifactorial origin yet remains partially understood. Emerging diagnostic criteria and potential therapeutic strategies were identified, highlighting advancements in long COVID management; Conclusions: This review highlights the multifaceted nature of long COVID, revealing a broad spectrum of symptoms, diverse risk factors, and the complex interplay of physiological mechanisms underpinning the condition. Long COVID symptoms and disorders will continue to weigh on healthcare systems in years to come. Addressing long COVID requires a holistic management strategy that integrates clinical care, social support, and policy initiatives. The findings underscore the need for increased international cooperation in research and health planning to address the complex challenges of long COVID. There is a call for continued refinement of diagnostic and treatment modalities, emphasizing a multidisciplinary approach to manage the ongoing and evolving impacts of the condition.
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Affiliation(s)
- Xiufang Song
- National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
- Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Weiwei Song
- Jiangsu Taizhou People’s Hospital, Taizhou 225306, China;
- School of Integrative Medicine, Nanjing University of Traditional Chinese Medicine, Nanjing 210023, China
| | - Lizhen Cui
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
| | - Tim Q. Duong
- Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY 10461, USA;
| | - Rajiv Pandy
- Indian Council of Forestry Research & Education, Dehradun 248006, India;
| | - Hongdou Liu
- Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Nathan, Brisbane, QLD 4111, Australia;
| | - Qun Zhou
- Department of Library, China Agricultural University (East Campus), 17 Qinghua East Road, Haidian District, Beijing 100193, China; (Q.Z.); (J.S.)
| | - Jiayao Sun
- Department of Library, China Agricultural University (East Campus), 17 Qinghua East Road, Haidian District, Beijing 100193, China; (Q.Z.); (J.S.)
| | - Yanli Liu
- National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
- Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Tong Li
- School of Agriculture and Food Sustainability, The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia
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9
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Chen X, Norris C, Whitten T, Ho C, Mann B, Bakal J. Symptomology following COVID-19 among adults in Alberta, Canada: an observational survey study. BMJ Open 2024; 14:e078119. [PMID: 38458800 DOI: 10.1136/bmjopen-2023-078119] [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] [Indexed: 03/10/2024] Open
Abstract
OBJECTIVE Fatigue, headache, problems sleeping and numerous other symptoms have been reported to be associated with long COVID. However, many of these symptoms coincide with symptoms reported by the general population, possibly exacerbated by restrictions/precautions experienced during the COVID-19 pandemic. This study examines the symptoms reported by individuals who tested positive for COVID-19 compared with those who tested negative. DESIGN Observational study. SETTING The study was conducted on adult residents in Alberta, Canada, from October 2021 to February 2023. PARTICIPANTS We evaluated self-reported symptoms in 7623 adults with positive COVID-19 tests and 1520 adults who tested negative, using surveys adapted from the internationally standardised International Severe Acute Respiratory and emerging Infection Consortium (ISARIC)-developed COVID-19 long-term follow-up tools. These individuals had an index COVID-19 test date between 1 March 2020 and 31 December 2022 and were over 28 days post-COVID-19 testing. PRIMARY OUTCOME MEASURES The primary outcomes were to identify the symptoms associated with COVID-19 positivity and risk factors for reporting symptoms. RESULTS Fatigue was the top reported symptom (42%) among COVID-19-positive respondents, while headache was the top reported symptom (32%) in respondents who tested negative. Compared with those who tested negative, COVID-19-positive individuals reported 1.5 times more symptoms and had higher odds of experiencing 31 out of the 40 listed symptoms during the postinfectious period. These symptoms included olfactory dysfunction, menstruation changes, cardiopulmonary and neurological symptoms. Female sex, middle age (41-55 years), Indigeneity, unemployment, hospital/intensive care unit (ICU) admission at the time of testing and pre-existing health conditions independently predicted a greater number and variety of symptoms. CONCLUSIONS Our results provide evidence that COVID-19 survivors continue to experience a significant number and variety of symptoms. These findings can help inform targeted strategies for the unequally affected population. It is important to offer appropriate management for symptom relief to those who have survived the acute COVID-19 illness.
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Affiliation(s)
- Xueyi Chen
- Alberta Strategy for Patient-Oriented Research Support Unit Data Platform, Edmonton, Alberta, Canada
- Provincial Research Data Services, Alberta Health Services, Edmonton, Alberta, Canada
| | - Colleen Norris
- Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada
| | - Tara Whitten
- Alberta Strategy for Patient-Oriented Research Support Unit Data Platform, Edmonton, Alberta, Canada
- Provincial Research Data Services, Alberta Health Services, Edmonton, Alberta, Canada
| | - Chester Ho
- Alberta Health Services, Edmonton, Alberta, Canada
- University of Alberta, Edmonton, Alberta, Canada
| | - Balraj Mann
- Alberta Health Services, Edmonton, Alberta, Canada
| | - Jeffrey Bakal
- Alberta Strategy for Patient-Oriented Research Support Unit Data Platform, Edmonton, Alberta, Canada
- Provincial Research Data Services, Alberta Health Services, Edmonton, Alberta, Canada
- Alberta Health Services, Edmonton, Alberta, Canada
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10
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Liu TH, Huang PY, Wu JY, Chuang MH, Hsu WH, Tsai YW, Lai CC. Comparison of post-acute sequelae following hospitalization for COVID-19 and influenza. BMC Med 2023; 21:480. [PMID: 38049876 PMCID: PMC10696681 DOI: 10.1186/s12916-023-03200-2] [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: 08/21/2023] [Accepted: 11/27/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Few studies have directly compared the risk and magnitude of post-acute sequelae following COVID-19 and influenza, and most of these studies were conducted before emergence of the Omicron. This study investigated the prevalence of post-COVID conditions and the long-term risk of emergency department (ED) visits, hospitalizations, and deaths in patients with COVID-19 and compared their risk with that of patients with influenza. METHODS A retrospective study based on the TriNetX databases, a global health research network. We identified patients with COVID-19 and influenza who required hospitalization between January 1, 2022, and January 1, 2023. We compared the risk of developing any post-COVID conditions between the two groups and also analyzed each post-COVID-19 condition and all-cause ED visits, hospitalizations, and deaths in both populations during the follow-up 90-180 days. RESULTS Before matching, 7,187 patients with COVID-19 were older (63.9 ± 16.7 vs. 55.4 ± 21.2) and were predominantly male (54.0% vs. 45.4%), and overweight/obese (16.1% vs. 11.2%) than 11,266 individuals with influenza. After propensity score matching, 6,614 patients were identified in each group, resulting in well-balanced baseline characteristics. During follow-up, the COVID-19 group had a higher incidence of any post-COVID-19 condition when compared with the influenza group (17.9% vs. 13.0%), with a hazard ratio (HR) of 1.398 (95% CI, 1.251-1.562). Compared to the influenza group, the COVID-19 group had a significantly higher incidence of abnormal breathing (HR, 1.506; 95% CI, 1.246-1.822), abdominal symptoms (HR, 1.313; HR, 1.034-1.664), fatigue (HR, 1.486; 95% CI, 1.158-1.907), and cognitive symptoms (HR, 1.815; 95% CI, 1.235-2.668). Moreover, the COVID-19 group had a significantly higher risk of the composite outcomes during all-cause ED visits, hospitalizations, and deaths when compared with the influenza group (27.5% vs. 21.7; HR, 1.303; 95% CI, 1.194-1.422). CONCLUSIONS This study indicates that hospitalized COVID-19 patients are at a higher risk of long-term complications when compared with influenza survivors.
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Affiliation(s)
- Ting-Hui Liu
- Department of Psychiatry, Chi Mei Medical Center, Tainan, Taiwan
| | - Po-Yu Huang
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Jheng-Yan Wu
- Department of Nutrition, Chi Mei Medical Center, Tainan, Taiwan
| | - Min-Hsiang Chuang
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Wan-Hsuan Hsu
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Ya-Wen Tsai
- Center for Integrative Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Chih-Cheng Lai
- Division of Hospital Medicine, Department of Internal Medicine, Chi Mei Medical Center, No 901, Chunghwa Road, Yongkang District, Tainan City 710, Taiwan.
- School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan.
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11
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Lin M, Cao K, Xu F, Wu X, Shen Y, Lu S, Kuang Z, Ding H, Yuan S, Shao M, Gu G, Xing L, Gu T, Chen S, Sun J, Zhu J, Zhang X, Yang Y, Zhao G, Huang L, Xu J, Song Z. A follow-up study on the recovery and reinfection of Omicron COVID-19 patients in Shanghai, China. Emerg Microbes Infect 2023; 12:2261559. [PMID: 37732336 PMCID: PMC10563605 DOI: 10.1080/22221751.2023.2261559] [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: 07/02/2023] [Accepted: 09/17/2023] [Indexed: 09/22/2023]
Abstract
Limited follow-up data is available on the recovery of Omicron COVID-19 patients after acute illness. It is also critical to understand persistence of neutralizing antibody (NAb) and of T-cell mediated immunity and the role of hybrid immunity in preventing SARS-CoV-2 reinfection. This prospective cohort study included Omicron COVID-19 individuals from April to June 2022 in Shanghai, China, during a large epidemic caused by the Omicron BA.2 variant. A total of 8945 patients from three medical centres were included in the follow up programme from November 2022 to February 2023. Of 6412 individuals enrolled for the long COVID analysis, 605 (9.4%) individuals experienced at least one sequelae, mainly had fatigue and mental symptoms specific to Omicron BA.2 infection compared with other common respiratory tract infections. During the second-visit, 548 (12.1%) cases of Omicron reinfection were identified. Hybrid immunity with full and booster vaccination had reduced risk of SARS-CoV-2 reinfection by 0.29-fold (95% CI: 0.63-0.81) and 0.23-fold (95% CI: 0.68-0.87), respectively. For 469 participants willing to the hospital during the first visit, those who received full (72 [IQR, 36-156]) or booster (64 [IQR, 28-132]) vaccination had significantly higher neutralizing antibody titers than those with incomplete vaccination (36 [IQR, 16-79]). Moreover, non-reinfection cases had higher neutralizing antibody titers (64 [IQR, 28-152]) compared to reinfection cases (32 [IQR, 20-69]).
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Affiliation(s)
- Mengna Lin
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, People’s Republic of China
| | - Kangli Cao
- Clinical Center for Bio-Therapy, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Feixiang Xu
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Xueling Wu
- Department of Respiratory Medicine, Renji hospital, Shanghai jiaotong University, School of medicine, 160 Pujian Road, Shanghai, China
| | - Yao Shen
- Department of Respiratory and Critical Care Medicine, Shanghai Pudong Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Su Lu
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Zhongshu Kuang
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Hailin Ding
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Shuyun Yuan
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Mian Shao
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Guorong Gu
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Lingyu Xing
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Tianwen Gu
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Shaodie Chen
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Jian Sun
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Jiamin Zhu
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Xiaoyan Zhang
- Clinical Center for Bio-Therapy, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Yilin Yang
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Guoping Zhao
- State Key Laboratory of Genetic Engineering, Fudan Microbiome Center, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
- Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Lihong Huang
- Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Jianqing Xu
- Clinical Center for Bio-Therapy, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, People’s Republic of China
| | - Zhenju Song
- Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Lung Inflammation and Injury, Shanghai, People’s Republic of China
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12
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Liu TH, Huang PY, Wu JY, Chuang MH, Hsu WH, Tsai YW, Tsai MH, Lai CC. Real-world data analysis of post-COVID-19 condition risk in older patients. Age Ageing 2023; 52:afad204. [PMID: 37962418 DOI: 10.1093/ageing/afad204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Indexed: 11/15/2023] Open
Abstract
This study investigated the risk of post-COVID-19 conditions in older patients with COVID-19 compared to those with influenza, and how age impacts this relationship. Patients aged ≥65 years with COVID-19 or influenza were identified using the TriNetX network. The risk of post-COVID-19 conditions was compared between survivors of COVID-19 and influenza, followed by a comparison of post-COVID-19 conditions risk between patients aged 65-74 years and those aged over 75 years. Compared with influenza survivors, post-COVID-19 conditions were significantly more prevalent in patients with COVID-19 (hazard ratio [HR], 1.534; 95% confidence interval [CI]: 1.405-1.675). Specifically, COVID-19 survivors have a significantly higher risk of experiencing abnormal breathing (HR, 2.052; 95% CI: 1.757-2.397), fatigue (HR, 1.587; 95% CI: 1.322-1.905), anxiety/depression (HR, 1.587; 95% CI: 1.322-1.905), cognitive symptoms (HR, 1.667; 95% CI: 1.295-2.146) and cough (HR, 1.250; 95% CI: 1.006-1.553) compared with the influenza group. Contrastingly, no significant difference was observed in the risk of any post-COVID-19 condition between COVID-19 survivors aged 65-74 years and those aged over 75 years (HR, 0.994; 95% CI: 0.920-1.073). However, a lower incidence of cognitive symptoms was observed in patients aged 65-74 years compared to those aged ≥75 years (HR, 0.543; 95% CI: 0.445-0.661). In conclusion, compared with influenza, older patients have a higher risk of developing post-COVID-19 conditions after SARS-CoV-2 infection, and those aged over ≥75 years may have an increased risk of developing cognitive symptoms compared to those aged 65-74 years.
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Affiliation(s)
- Ting-Hui Liu
- Department of Psychiatry, Chi Mei Medical Center, Tainan Taiwan
| | - Po-Yu Huang
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Jheng-Yan Wu
- Department of Nutrition, Chi Mei Medical Center, Tainan, Taiwan
| | - Min-Hsiang Chuang
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Wan-Hsuan Hsu
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Ya-Wen Tsai
- Center for Integrative Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Meng-Hsiu Tsai
- Department of Geriatrics and Gerontology, Chi Mei Medical Center, Tainan, Taiwan
| | - Chih-Cheng Lai
- Division of Hospital Medicine, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
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13
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Vivaldi G, Pfeffer PE, Talaei M, Basera TJ, Shaheen SO, Martineau AR. Long-term symptom profiles after COVID-19 vs other acute respiratory infections: an analysis of data from the COVIDENCE UK study. EClinicalMedicine 2023; 65:102251. [PMID: 38106559 PMCID: PMC10721552 DOI: 10.1016/j.eclinm.2023.102251] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/04/2023] [Accepted: 09/15/2023] [Indexed: 12/19/2023] Open
Abstract
Background Long COVID is a well recognised, if heterogeneous, entity. Acute respiratory infections (ARIs) due to other pathogens may cause long-term symptoms, but few studies compare post-acute sequelae between SARS-CoV-2 and other ARIs. We aimed to compare symptom profiles between people with previous SARS-CoV-2 infection, people with previous non-COVID-19 ARIs, and contemporaneous controls, and to identify clusters of long-term symptoms. Methods COVIDENCE UK is a prospective, population-based UK study of ARIs in adults. We analysed data for 16 potential long COVID symptoms and health-related quality of life (HRQoL), reported between January 21 and February 15, 2021, by participants unvaccinated against SARS-CoV-2. We classified participants as having previous SARS-CoV-2 infection or previous non-COVID-19 ARI (≥4 weeks prior) or no reported ARI. We compared symptoms by infection status using logistic and fractional regression, and identified symptom clusters using latent class analysis (LCA). This study is registered with ClinicalTrials.gov, NCT04330599. Findings We included 10,171 participants (1311 [12.9%] with SARS-CoV-2 infection, 472 [4.6%] with non-COVID-19 ARI). Both types of infection were associated with increased prevalence/severity of most symptoms and decreased HRQoL compared with no infection. Participants with SARS-CoV-2 infection had increased odds of problems with taste/smell (odds ratio 19.74, 95% CI 10.53-37.00) and lightheadedness or dizziness (1.74, 1.18-2.56) compared with participants with non-COVID-19 ARIs. Separate LCA models identified three symptom severity groups for each infection type. In the most severe groups (representing 22% of participants for both SARS-CoV-2 and non-COVID-19 ARI), SARS-CoV-2 infection presented with a higher probability of problems with taste/smell (probability 0.41 vs 0.04), hair loss (0.25 vs 0.16), unusual sweating (0.38 vs 0.25), unusual racing of the heart (0.43 vs 0.33), and memory problems (0.70 vs 0.55) than non-COVID-19 ARI. Interpretation Both SARS-CoV-2 and non-COVID-19 ARIs are associated with a wide range of symptoms more than 4 weeks after the acute infection. Research on post-acute sequelae of ARIs should extend from SARS-CoV-2 to include other pathogens. Funding Barts Charity.
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Affiliation(s)
- Giulia Vivaldi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Paul E. Pfeffer
- Barts Health NHS Trust, London, UK
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Mohammad Talaei
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Tariro Jayson Basera
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Seif O. Shaheen
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Adrian R. Martineau
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Asthma UK Centre for Applied Research, Queen Mary University of London, London, UK
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14
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An AY, Baghela A, Zhang PGY, Blimkie TM, Gauthier J, Kaufmann DE, Acton E, Lee AHY, Levesque RC, Hancock REW. Post-COVID symptoms are associated with endotypes reflecting poor inflammatory and hemostatic modulation. Front Immunol 2023; 14:1243689. [PMID: 37680625 PMCID: PMC10482103 DOI: 10.3389/fimmu.2023.1243689] [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: 06/21/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023] Open
Abstract
Introduction Persistent symptoms after COVID-19 infection ("long COVID") negatively affects almost half of COVID-19 survivors. Despite its prevalence, its pathophysiology is poorly understood, with multiple host systems likely affected. Here, we followed patients from hospital to discharge and used a systems-biology approach to identify mechanisms of long COVID. Methods RNA-seq was performed on whole blood collected early in hospital and 4-12 weeks after discharge from 24 adult COVID-19 patients (10 reported post-COVID symptoms after discharge). Differential gene expression analysis, pathway enrichment, and machine learning methods were used to identify underlying mechanisms for post-COVID symptom development. Results Compared to patients with post-COVID symptoms, patients without post-COVID symptoms had larger temporal gene expression changes associated with downregulation of inflammatory and coagulation genes over time. Patients could also be separated into three patient endotypes with differing mechanistic trajectories, which was validated in another published patient cohort. The "Resolved" endotype (lowest rate of post-COVID symptoms) had robust inflammatory and hemostatic responses in hospital that resolved after discharge. Conversely, the inflammatory/hemostatic responses of "Suppressive" and "Unresolved" endotypes (higher rates of patients with post-COVID symptoms) were persistently dampened and activated, respectively. These endotypes were accurately defined by specific blood gene expression signatures (6-7 genes) for potential clinical stratification. Discussion This study allowed analysis of long COVID whole blood transcriptomics trajectories while accounting for the issue of patient heterogeneity. Two of the three identified and externally validated endotypes ("Unresolved" and "Suppressive") were associated with higher rates of post-COVID symptoms and either persistently activated or suppressed inflammation and coagulation processes. Gene biomarkers in blood could potentially be used clinically to stratify patients into different endotypes, paving the way for personalized long COVID treatment.
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Affiliation(s)
- Andy Yi An
- Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC, Canada
| | - Arjun Baghela
- Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC, Canada
| | - Peter G. Y. Zhang
- Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC, Canada
| | - Travis M. Blimkie
- Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC, Canada
| | - Jeff Gauthier
- Département de microbiologie-infectiologie et d’immunologie, Université de Laval, Laval, QC, Canada
| | - Daniel Elias Kaufmann
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
- McGill Genome Centre, Fonds de recherche du Québec (FRQ) COVID-19 Biobank, Montreal, QC, Canada
| | - Erica Acton
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Amy H. Y. Lee
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Roger C. Levesque
- Département de microbiologie-infectiologie et d’immunologie, Université de Laval, Laval, QC, Canada
| | - Robert E. W. Hancock
- Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC, Canada
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15
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McGuire WC, Pearce AK, Malhotra A. Sleep disturbances, dyspnoea, and anxiety in long COVID. THE LANCET. RESPIRATORY MEDICINE 2023; 11:664-665. [PMID: 37072019 PMCID: PMC10105618 DOI: 10.1016/s2213-2600(23)00138-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 04/20/2023]
Affiliation(s)
- W Cameron McGuire
- Division of Pulmonary, Critical Care, Sleep Medicine, and Physiology, University of California, San Diego, La Jolla, CA 92037, USA.
| | - Alex K Pearce
- Division of Pulmonary, Critical Care, Sleep Medicine, and Physiology, University of California, San Diego, La Jolla, CA 92037, USA
| | - Atul Malhotra
- Division of Pulmonary, Critical Care, Sleep Medicine, and Physiology, University of California, San Diego, La Jolla, CA 92037, USA
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