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Limited research suggests that certain viruses reactivate in severe-acute-respiratory-syndrome-coronavirus 2 infection, contributing to the development of postacute sequelae of COVID-19 (PASC). We examined 1083 infected individuals from a population-based cohort, and assessed differences in plasma immunoglobulin (Ig)G and immunoglobulin A levels against Epstein-Barr virus (EBV), cytomegalovirus, varicella zoster virus (VZV), BK polyomavirus, KI polyomavirus, WU polyomavirus (WUPyV), respiratory syncytial virus, and Adv-36 according to the severity of previous COVID-19 and PASC history. Individuals who had experienced severe COVID-19 had higher antibody responses to latent viruses. Ever PASC, active persistent PASC, and PASC with neuropsychiatric symptoms were associated with higher immnoglobulin G to EBV early antigen-diffuse, VZV, and WUPyV even among individuals without previous severe COVID-19.

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BACKGROUND: Many patients with post COVID-19 condition (PCC) require healthcare services. However, qualitative studies indicate that patients with PCC encounter many barriers to healthcare access. This cross-sectional study aimed to determine how many PCC patients report barriers to healthcare access and which barriers are reported, and to explore differences between subgroups. METHODS: Data were collected via an online survey from 10,462 adult patients with a confirmed or suspected COVID-19 infection in the Netherlands, who experienced persisting symptoms ≥ 3 months after the initial infection. To study self-perceived barriers, a list of eleven possible barriers was used, covering multiple aspects of healthcare access. Differences between subgroups based on sociodemographic characteristics, medical characteristics, PCC symptoms (fatigue, dyspnoea, cognitive problems, anxiety and depression), and healthcare use (general practitioner, paramedical professional, medical specialist, occupational physician and mental health professional) were studied through multivariable multinomial (0 vs. 1 vs. > 1 barrier) and binomial regression analyses (for each individual barrier). RESULTS: A total of 83.2% of respondents reported at least one barrier to healthcare access. Respondents reported a median of 2.0 (IQR = 3.0) barriers. The barriers "I didn't know who to turn to for help" (50.9%) and "No one with the right knowledge/skills was available" (36.8%) were most frequently reported. Respondents with younger age, higher educational level, not hospitalized during acute COVID-19 infection, longer disease duration, who had more severe PCC symptoms, and who did not consult an occupational physician or paramedical professional, were more likely to report barriers. Analyses per barrier showed that women were more likely to report financial and help-seeking barriers, while men were more likely to report barriers related to availability of care. Hospitalized respondents were less likely to report barriers related to availability of care, but not less likely to report financial or help-seeking barriers. CONCLUSIONS: This study shows that the majority of patients with PCC experiences barriers to healthcare access. Particular attention should be paid to younger, non-hospitalized patients with a long disease duration and severe PCC symptoms. Efforts to remove barriers should focus not only on improving availability of care, but also on helping patients navigate care pathways.

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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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In the face of increasing reports of CNS involvement in COVID-19 cases, it is likely that the current epidemic may be accompanied by a significant increase in the prevalence of neurological sequelae, cognitive dysfunction, and long-term behavioural alterations affecting quality of life and autonomy in daily life. This is consequential to the neuroinvasion and multi-organ dysfunction, but also to the psychological distress and socioeconomic changes that occur. Long COVID and neurocovid are now an established concept worldwide. However, the clinical features of these two entities are still debated. The chapter provides information about the nosographic framing, associated pathophysiological mechanisms, alterations in the central and peripheral nervous systems, and the associated neurocognitive profile, indications about predictor and clinical evaluation according to a patient-centred multidimensional immuno-behavioural approach.

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Long COVID occurs in a small but important minority of patients following COVID-19, reducing quality of life and contributing to healthcare burden. Although research into underlying mechanisms is evolving, immunity is understudied. SARS-CoV-2-specific T cell responses are of key importance for viral clearance and COVID-19 recovery. However, in long COVID, the establishment and persistence of SARS-CoV-2-specific T cells are far from clear, especially beyond 12 mo postinfection and postvaccination. We defined ex vivo antigen-specific B cell and T cell responses and their T cell receptors (TCR) repertoires across 2 y postinfection in people with long COVID. Using 13 SARS-CoV-2 peptide-HLA tetramers, spanning 11 HLA allotypes, as well as spike and nucleocapsid probes, we tracked SARS-CoV-2-specific CD8+ and CD4+ T cells and B-cells in individuals from their first SARS-CoV-2 infection through primary vaccination over 24 mo. The frequencies of ORF1a- and nucleocapsid-specific T cells and B cells remained stable over 24 mo. Spike-specific CD8+ and CD4+ T cells and B cells were boosted by SARS-CoV-2 vaccination, indicating immunization, in fully recovered and people with long COVID, altered the immunodominance hierarchy of SARS-CoV-2 T cell epitopes. Meanwhile, influenza-specific CD8+ T cells were stable across 24 mo, suggesting no bystander-activation. Compared to total T cell populations, SARS-CoV-2-specific T cells were enriched for central memory phenotype, although the proportion of central memory T cells decreased following acute illness. Importantly, TCR repertoire composition was maintained throughout long COVID, including postvaccination, to 2 y postinfection. Overall, we defined ex vivo SARS-CoV-2-specific B cells and T cells to understand primary and recall responses, providing key insights into antigen-specific responses in people with long COVID.

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Purpose: Pilot study to evaluate the safety and effectiveness of stellate ganglion blocks in the treatment of symptoms related to long COVID infection. Materials and Methods: A total of 17 patients who underwent stellate ganglion block for the treatment of their long COVID symptoms were included. COMPASS-31, GAD-7, PCL-5, and Fatigue Severity Score (FSS) pre and post intervention surveys and data on baseline heartrate and post- block heart rate recorded in the EMR. Results: A total of 94% of patients reported moderate-to-severe autonomic dysfunction pre-procedure as measured by COMPASS-31. All patients reported some degree of symptomatic improvement from the block. Specifically, patients had significantly lower FSS scores (P = 0.002) and heart rate post-procedure (P = 0.008). Although the decrease in PCL-5 scores after the procedure was clinically meaningful, this change was not statistically significant (P = 0.159). No significant difference was found in pre and post procedure GAD-7 scores (P = 0.101). Conclusions: Stellate ganglion block is a safe, low-risk, minimally invasive, and effective procedure in the treatment of symptoms for long COVID. It should be evaluated as an adjunctive treatment of select patients in this population.

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This article explores the demand and utilization of a rural post-acute COVID syndrome clinic. Electronic health records were used to identify referrals between April 2021 and April 2022 and to describe characteristics of referred patients and referrals generated to specialty services. Of the 747 referrals received, 363 (48.6%) met the criteria for an appointment and were seen, the vast majority (89.6%) via Telehealth. Most patients resided in rural communities (63.1%) and were female (75.2%); mean age was 49, and 17% were hospitalized during their acute illness. Nearly half of patients (49%) had at least one pre-existing mental health diagnosis. Referrals to specialty care for further evaluation and/or intervention were most commonly to occupational therapy (27.3%), physical therapy (24.8%), psychiatry (19.8%), and neurology (17%). Telehealth expanded the availability of health care resources. Additional research on how to meet care needs, ameliorate symptoms, and aid recovery in rural communities is warranted.

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INTRODUCTION: In addition to physical symptoms such as dyspnea, fatigue, post-exertional malaise, and pain, a subgroup of patients with Post-COVID-19 syndrome (Post-Acute Sequelae of COVID-19, PASC) suffers from mental illnesses such as anxiety, depression, and neurocognitive impairments. To date, there are no causal treatments available for PASC. While initial studies show that psychotherapy improves psychological symptoms, PASC-related fatigue, and psychosocial functioning, further research is needed to evaluate the effectiveness of psychotherapeutic treatment for PASC. METHODS AND ANALYSIS: This study presents a non-randomized controlled trial aimed at evaluating the effectiveness of a five-week multimodal inpatient psychosomatic treatment program for individuals experiencing PASC symptoms and comorbid mental illness. A total of 118 patients presented at the Post-COVID Center at the Universitätsklinikum Erlangen will be assigned to the intervention group receiving inpatient psychosomatic treatment or the control group receiving treatment as usual. The inclusion criteria for the intervention group are a diagnosis of PASC and at least one condition of mental distress and problems with coping with illness. The primary objective of the intervention is to reduce mental ailments, including depression and anxiety, as well as neurocognitive deficits, and to address PASC symptoms such as fatigue and pain. The core elements of the treatment are psychotherapy in individual and group settings, medical treatment, neurocognitive training, and physical therapy, adapted to the individual's capacity and oriented towards the concept of pacing. After enrollment, participants will undergo a 6-month follow-up to assess long-term results and the sustainability of the intervention effects. DISCUSSION: This study examines the effectiveness of inpatient psychotherapeutic treatment in PASC patients with comorbid mental illness in comparison with a control group based on treatment as usual. The results of the study can contribute to the development of evidence-based interventions to address the complex needs of patients with PASC and comorbid mental illness. TRIAL REGISTRATION: German Clinical Trial Register (DRKS), retrospectively registered 15.02.2024 DRKSID DRKS00033562.

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Long COVID is characterized by persistent that extends symptoms beyond established timeframes. Its varied presentation across different populations and healthcare systems poses significant challenges in understanding its clinical manifestations and implications. In this study, we present a novel application of text mining technique to automatically extract unstructured data from a long COVID survey conducted at a prominent university hospital in São Paulo, Brazil. Our phonetic text clustering (PTC) method enables the exploration of unstructured Electronic Healthcare Records (EHR) data to unify different written forms of similar terms into a single phonemic representation. We used n-gram text analysis to detect compound words and negated terms in Portuguese-BR, focusing on medical conditions and symptoms related to long COVID. By leveraging text mining, we aim to contribute to a deeper understanding of this chronic condition and its implications for healthcare systems globally. The model developed in this study has the potential for scalability and applicability in other healthcare settings, thereby supporting broader research efforts and informing clinical decision-making for long COVID patients.

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The coronavirus disease 2019 (COVID-19) survivors are frequently observed to present persistent symptoms constituting what has been called "post-acute COVID-19 syndrome" (PACS) or "long COVID-19". Some clinical risk factors have been identified to be associated with PACS development; however, specific mechanisms responsible for PACS pathology remain unknown. This study investigates clinical, immunological, and metabolomic risk factors associated with post-acute COVID-19 syndrome (PACS) in 51 patients, assessed 7-19 months after acute infection. Among the participants, 62.7% were male and 37.2% were female, with an average age of 47.8 years. At the follow-up, 37.2% met the criteria for PACS, revealing significant differences in immunological and metabolomic profiles at the time of acute infection. Patients with PACS were characterized by elevated levels of mature low-density granulocytes (LDGs), interleukin-8 (IL-8), pyruvate, pseudouridine, and cystine. Baseline multivariate analysis showed increased pyruvate and decreased alpha tocopherol levels. At follow-up, there was a decrease in absolute B lymphocytes and an increase in non-classical monocytes and 3-hydroxyisovaleric acid levels. These findings suggest that specific immunological and metabolomic markers during acute infection can help identify patients at higher risk of developing persistent PACS.

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Post-acute COVID syndrome (PACS), or long COVID, is a newly defined condition emerging as a widespread post-pandemic diagnosis with prevalent neuro-psychiatric symptoms and possible neuroinflammation-associated pathogenetic mechanisms.

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COVID-19 pandemic brought chemosensory impairment to the forefront of medicine, revealing gaps in the knowledge of pathophysiological mechanisms, true prevalence and preventive/therapeutic alternatives. This is a sub-study of the ORCHESTRA cohort focusing on post-COVID-19 chemosensory symptoms. Risk factors for neurosensorial cluster of post-COVID-19 syndrome (NSc-PCS) were assessed through multivariable analysis. Psychophysical validated tests were applied on a sub-population of 50 patients. Qualitative chemosensory symptoms as well as nasal and oral chemesthesis were evaluated through anamnestic interview and the quality of life through the SF-36 questionnaire. Chemosensory symptoms evolution and olfactory training's outcome were assessed through phone-call interviews. Out of 1187 patients (female, N = 630), 550 (47%) presented NSc-PCS, with a lower risk for older age and monoclonal antibodies treatment, and a higher risk in females (p < 0.001). Out of the 50 patients evaluated with psychophysical tests, 66% showed smell reduction with a qualitative alteration in 50% of hyposmic and 35% of normosmic patients. Hypogeusia was present in 14 (28%) of the patients assessed, with 56% showing a qualitative alteration; 53% of normogeusic patients presented qualitative disorders. NSc-PCS has a complex, fluctuating, multifaceted presentation. Quantifying and characterizing COVID-19-related chemosensory impairment is key to understand underlying mechanisms and to develop preventive and therapeutic treatment.

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Introduction: After mild COVID-19 that does not require hospitalization, some individuals develop persistent symptoms that may worsen over time, producing a multisystemic condition termed Post-COVID condition (PCC). Among other disorders, PCC is characterized by persistent changes in the immune system that may not be solved several months after COVID-19 diagnosis. Methods: People with PCC were recruited to determine the distribution and functionality of CD4+ T helper (Th) subsets in comparison with individuals with mild, severe, and critical presentations of acute COVID-19 to evaluate their contribution as risk or protective factors for PCC. Results: People with PCC showed low levels of Th1 cells, similar to individuals with severe and critical COVID-19, although these cells presented a higher capacity to express IFNγ in response to stimulation. Th2/Th1 correlation was negative in individuals with acute forms of COVID-19, but there was no significant Th2/Th1 correlation in people with PCC. Th2 cells from people with PCC presented high capacity to express IL-4 and IL-13, which are related to low ventilation and death associated with COVID-19. Levels of proinflammatory Th9 and Th17 subsets were significantly higher in people with PCC in comparison with acute COVID-19, being Th1/Th9 correlation negative in these individuals, which probably contributed to a more pro-inflammatory than antiviral scenario. Th17 cells from approximately 50% of individuals with PCC had no capacity to express IL-17A and IL-22, similar to individuals with critical COVID-19, which would prevent clearing extracellular pathogens. Th2/Th17 correlation was positive in people with PCC, which in the absence of negative Th1/Th2 correlation could also contribute to the proinflammatory state. Finally, Th22 cells from most individuals with PCC had no capacity to express IL-13 or IL-22, which could increase tendency to reinfections due to impaired epithelial regeneration. Discussion: People with PCC showed skewed polarization of CD4+ Th subsets with altered functionality that was more similar to individuals with severe and critical presentations of acute COVID-19 than to people who fully recovered from mild disease. New strategies aimed at reprogramming the immune response and redirecting CD4+ Th cell polarization may be necessary to reduce the proinflammatory environment characteristic of PCC.

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OBJECTIVES: This study aims to describe the incidence, symptom clusters and determinants of post-acute COVID symptoms using data from the COVID RADAR app in the Netherlands. DESIGN: Prospective cohort. SETTING: General population in the Netherlands from April 2020 to February 2022. PARTICIPANTS: A total of 1478 COVID RADAR app users, with data spanning 40 days before to 100 days after positive SARS-CoV-2 test. OUTCOME MEASURES: Incidence and duration of 10 new symptoms that developed during acute infection, defined as 10 days prior and 10 days after positive test. Clustering of these post-acute COVID symptoms and associations between factors known in the acute phase and 100-day symptom persistence. RESULTS: The most frequent post-acute symptoms were cough, loss of smell or taste and fatigue. At 100 days postinfection, 86 (8%) participants still experienced symptoms. Three post-acute COVID symptom clusters were identified: non-respiratory (headache and fatigue; 49% of participants with post-acute COVID symptoms); olfactory (15%) and respiratory (8%). Vaccination was associated with a lower risk of post-acute COVID symptoms 100 days after infection, although CIs were wide (OR: 0.5; 95% CI: 0.2 to 1.5), but not with non-respiratory symptoms (OR: 1.0; 95% CI: 0.3 to 4.4). Severe acute disease increased the risk of post-acute COVID symptoms (OR: 1.4; 95% CI: 1.2 to 1.5; per additional acute symptom). CONCLUSIONS: In this cohort of infected community-dwelling app users, 5%-10% experienced post-acute COVID symptoms. The symptoms cluster in several distinct entities, which differ in incidence, patient characteristics and vaccination effects. This suggests multiple mechanisms underlying the development of post-acute COVID symptoms.

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INTRODUCTION: COVID-19 infection has resulted in a high prevalence of a post-infectious syndrome, known as post-acute sequelae of SARS-CoV-2 (PASC) or "Long COVID". PASC is a heterogeneous disease with a high prevalence of sleep disturbances, varying from an insomnia disorder to excessive daytime sleepiness. METHODS: Patients seen in the Covid Survivorship Program at the Beth Israel Deaconess Medical Center Boston, USA, were screened for sleep disorders as part of a comprehensive multi-system evaluation. Those who screened positive were referred for a comprehensive sleep evaluation in a dedicated COVID-19-Sleep clinic, followed by diagnostic sleep testing and treatment. This report summarizes patients who completed an American Academy of Sleep Medicine (AASM) accredited facility-based diagnostic evaluation. International Classification of Sleep Disorders 3rd Edition-Revised criteria were met for all diagnoses. RESULTS: In 42 patients with PASC, five categories of sleep disorder syndromes were observed following a sleep clinic evaluation, including obstructive sleep apnea, chronic insomnia disorder, primary hypersomnia, REM behavior disorder (RBD), and new onset circadian phase delay. Seven patients met criteria for idiopathic hypersomnia, and two had narcolepsy type 2. RBD patients were infected in three different waves; circadian disturbance patients were all infected in the winter wave of 2020/21, and the primary hypersomnolence group occurred during all waves, predominantly the initial wave of 2020. A peculiar form of insomnia was a persistent loss of sleep regularity. CONCLUSIONS: Specific sleep symptoms/syndromes are reported in this select group of patients with PASC/Long Covid. As new onset sleep complaints are prevalent in PASC, we recommend a complete clinical and investigative sleep evaluation for persistent severe sleep symptoms following COVID-19 infection.

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Severe acute coronavirus-2 (SARS-CoV-2) infection has been associated with endothelial damage, and impaired nitric oxide production, which results in arterial stiffness and increased risk of cardiovascular disease. Long COVID is a term used to describe the persistence or the development of new symptoms that can occur after an acute infection. Little is known about the association between arterial stiffness and Long COVID. An observational, cross-sectional study in which arterial stiffness was measured with pulse wave velocity (PWV) was carried out in 74 participants between 19 and 40 years old (53 with Long COVID, 21 age and gender-matched controls). Data was collected from participants between 1 and 9 months after acute COVID-19 infection using the Complior analyze unit protocol. The Long COVID group had higher carotid-radial-PWV (crPWV) than controls (10 m/s interquartile range [IQR] 8.5-11.2 m/s) versus 8.8 m/s (IQR 7.7-9.2 m/s) as was their carotid-radial-arterial stiffness index (crASI) (2.26 cm/ms (IQR 1.9-2.56 cm/ms) vs. 2.01 cm/ms (IQR 1.82-2.27 cm/ms); p < 0.05) in both. They also had more type-A waveforms, indicating increased arterial stiffening. Peripheral arterial stiffness was higher in adults with Long COVID than in controls who were never infected with SARS-CoV-2 as noted by the elevated levels of crPWV and crASI among adults with Long COVID.

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Long COVID is a poorly understood condition characterized by persistent symptoms following the acute phase of COVID-19, including fatigue, cognitive impairment, and joint pain. Acupuncture, a key component of traditional Chinese medicine treatment, has shown potential in alleviating long COVID symptoms. However, the molecular mechanisms underlying its therapeutic effects remain largely unknown. In this study, we employed bioinformatics approaches to explore the potential molecular mechanisms of acupuncture's therapeutic effects on long COVID symptoms. We screened protein targets of active ingredients produced by the body after acupuncture and identified potential therapeutic targets of long COVID. Protein-protein interaction networks were constructed, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to identify key targets and pathways. Our findings provide valuable insights into the potential molecular mechanisms of acupuncture's therapeutic effects on long COVID symptoms and may contribute to the development of targeted therapies for managing this challenging condition.

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