Neurological and psychiatric risk trajectories after SARS-CoV-2 infection: an analysis of 2-year retrospective cohort studies including 1 284 437 patients

C. P. Long-term cognitive and autonomic effects of COVID-19 in young adults: a cross-sectional study at 28 months

OBJECTIVES

The COVID-19 pandemic, caused by SARS-CoV-2, has had profound global impacts since its emergence in late 2019. Whilst acute symptoms are well-documented, increasing evidence suggests long-term consequences extending beyond the acute phase. This study aimed to investigate the long-term cognitive and autonomic effects of COVID-19 in young adults.

MATERIALS AND METHODS

We conducted a cross-sectional study comparing young adults with a history of COVID-19 (n = 34) to matched controls (n = 34). Cognitive function was assessed using the Sternberg Task, Stroop Task, and Go/No-Go Task (GNG). Autonomic function was evaluated using heart rate variability (HRV) parameters.

RESULTS

The average time interval between COVID-19 infection and testing was 28.2 months. The COVID-19 group showed significantly increased reaction time in the 2-item absent condition (p = 0.044) and errors in the 4-item present condition (p = 0.012) of the Sternberg Task and increased neutral response time (p = 0.028) and the normalized time for completing the task (p = 0.022) in the Stroop Task. No significant differences were found in the GNG Task. HRV parameters did not differ significantly between groups, although trends toward higher overall HRV were observed in the COVID-19 group.

CONCLUSION

Young adults who had COVID-19 infection approximately 28 months ago show minimal long-term impact on cognitive function and autonomic regulation. However, subtle cognitive inefficiencies persist, particularly in working memory and executive function tasks. These findings suggest a generally favorable long-term prognosis for young adults following mild to moderate COVID-19 but highlight the need for further investigation into persistent subtle cognitive effects and autonomic effects.

Clinical Manifestations of SARS-CoV-2 Infection in Immunocompetent Adults in the Era of Widespread Population Immunity and Omicron Sublineage Viruses

While most SARS-CoV-2 infections and reinfections in the era of widespread population immunity with omicron subsub-lineage variants are mild for immunocompetent individuals, any manifestation previously seen during the pandemic phase is still possible. COVID-19 may affect any organ system. Previous infections and prior vaccines protect against symptomatic future SARS-CoV-2 infections, though this protection wanes over time.

Need for awareness and surveillance of long-term post-COVID neurodegenerative disorders. A position paper from the neuroCOVID-19 task force of the European Academy of Neurology

BACKGROUND

Neuropathological and clinical studies suggest that infection with SARS-CoV-2 may increase the long-term risk of neurodegeneration.

METHODS

We provide a narrative overview of pathological and clinical observations justifying the implementation of a surveillance program to monitor changes in the incidence of neurodegenerative disorders in the years after COVID-19.

RESULTS

Autopsy studies revealed diverse changes in the brain, including loss of vascular integrity, microthromboses, gliosis, demyelination, and neuronal- and glial injury and cell death, in both unvaccinated and vaccinated individuals irrespective of the severity of COVID-19. Recent data suggest that microglia play an important role in sustained COVID-19-related inflammation, which contributes to the etiology initiating a neurodegenerative cascade, to the worsening of pre-existing neurodegenerative disease or to the acceleration of neurodegenerative processes. Histopathological data have been supported by neuroimaging, and epidemiological studies also suggested a higher risk for neurodegenerative diseases after COVID-19.

CONCLUSIONS

Due to the high prevalence of COVID-19 during the pandemic, healthcare systems should be aware of, and be prepared for a potential increase in the incidence of neurodegenerative diseases in the upcoming years. Strategies may include follow-up of well-described cohorts, analyses of outcomes in COVID-19-registries, nationwide surveillance programs using record-linkage of ICD-10 diagnoses, and comparing the incidence of neurodegenerative disorders in the post-pandemic periods to values of the pre-pandemic years. Awareness and active surveillance are particularly needed, because diverse clinical manifestations due to earlier SARS-CoV-2 infections may no longer be quoted as post-COVID-19 symptoms, and hence, increasing incidence of neurodegenerative pathologies at the community level may remain unnoticed.

Rates, Risk Factors and Outcomes of Complications After COVID-19 in Children

BACKGROUND

Coronavirus disease 2019 (COVID-19) can lead to various complications, including multisystem inflammatory syndrome in children (MIS-C) and post-COVID-19 conditions (long COVID). This study aimed to determine the rates, risk factors and outcomes of MIS-C and long COVID in children previously diagnosed with COVID-19.

METHODS

This study was a combined retrospective and prospective cohort study. Patients 0-18 years of age diagnosed with COVID-19 or another respiratory virus infection were enrolled between October 2021 and April 2022. Demographic and clinical data were reviewed. Information on persisting symptoms and their impacts were recorded at 1-3, 3-6 and 6-12 months after infection. Laboratory investigations and chest imaging examinations were performed during follow-up. MIS-C and long COVID were defined according to the Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO) definitions.

RESULTS

A total of 618 patients were enrolled, comprising 437 (70.7%) with COVID-19 and 181 (29.3%) with another respiratory virus infection. At 1-3 months, the rate of persisting symptoms was 16.5% in patients with COVID-19, compared with 1.1% in patients with another respiratory virus infection. The rate of MIS-C was 0.7%. The rate of long COVID according to the CDC and WHO definitions were 20.4% and 13.0%, respectively. Respiratory systems were most affected in long COVID. Age 5-18 years, anosmia during COVID-19, history of pneumonia and infection during the delta and omicron waves were associated with long COVID in children.

CONCLUSIONS

Long COVID after COVID-19 in children is uncommon. Children with anosmia and a history of pneumonia during COVID-19 require follow-up for long COVID.

Subjective cognitive, psychiatric, and fatigue symptoms two years after COVID-19: A prospective longitudinal cohort study

Introduction

COVID-19 survivors may present with cognitive and psychiatric symptoms long after the acute phase of SARS-CoV-2 infection.

Objectives

To determine subjective cognitive, psychiatric, and fatigue symptoms two years after COVID-19, and their change from six months to two years.

Methods

We assessed three COVID-19 patient groups of different acute disease severity (ICU-treated, ward-treated, home-isolated) concerning subjective cognitive functioning (AB Neuropsychological Assessment Schedule), anxiety (Generalised Anxiety Disorder 7), depression (Patient Health Questionnaire 9), post-traumatic stress (Impact of Event Scale 6), and fatigue (Multidimensional Fatigue Inventory) with a mailed questionnaire approximately two years after acute COVID-19. We compared the results with those obtained six months after the acute disease. We studied whether any change emerged in the scores of symptomatic patients between six- and 24-month follow-ups.

Results

Two years post-COVID-19, 58 ICU-treated, 35 ward-treated, and 28 home-isolated patients responded to the questionnaire. Subjective cognitive symptoms and fatigue emerged as the most common problems occurring in 30.6 and 35.5% of patients, respectively. In patients with clinically significant symptoms at six months, symptom scores for depression, anxiety, and post-traumatic stress decreased at two years.

Conclusions

Two years after COVID-19, particularly self-reported cognitive symptoms and fatigue remained clinically significant, but also some recovery was evident in depression, anxiety, and post-traumatic stress.

Long COVID psychiatric sequelae, biochemical markers & tau protein: A 3-year follow-up study

BACKGROUND

A significant percentage of COVID-19 survivors experience long-term neuropsychiatric and physical issues. Baseline biochemical parameters may be linked to these psychiatric sequelae.

AIM

This study aimed to explore the association between baseline biochemical parameters and psychiatric outcomes in COVID-19 survivors three years post-infection.

METHODS

We enrolled 100 COVID-19 survivors (mild and severe) and conducted comprehensive biochemical, endocrine, and psychiatric evaluations using peripheral blood samples and psychological assessments (GAD-7, PHQ-9, MoCA, ISI) at 3 years of follow-up assessment. Tau protein levels were measured at follow-up. Baseline biochemical data were retrieved from medical records, and linear regression analysis was used to identify predictors of psychiatric symptoms.

RESULTS

HbA1c levels were significantly higher in severe cases at baseline (7.08±2.11 vs. 6.22±1.62) and follow-up (6.54±2.01 vs. 5.78±1.07). Severe cases also had elevated p-tau protein levels (99.34±120 vs. 59.7 ± 45.9). Low sodium and potassium at baseline were negatively correlated with anxiety and depression scores, predicting anxiety (8 %) and depressive symptoms (6 %) in mild cases. Low calcium predicted depressive (10 %) and anxiety symptoms (7.5 %) across all cases.

CONCLUSION

COVID-19 survivors with a history of severe infection displayed higher p-tau and HbA1c levels, indicating potential new-onset diabetes and neuronal damage. Electrolyte imbalances, particularly sodium, potassium, and calcium, during acute infection predicted long-term psychiatric symptoms, including depression, anxiety, and somatization.

Long-term health outcomes following hospitalisation for COVID-19: a 30- month cohort analysis

CONTEXT

Increased risks of death and hospitalisation for organ disorders after discharge for COVID-19 hospitalisation have been reported but their persistence is unknown.

METHODS

We conducted a nationwide cohort study using the French claims database; subjects hospitalised for COVID-19 between 2020/01/01 and 2020/08/30 were followed up to 30-months and matched to controls from the general population (GP) not hospitalised for COVID-19 during this period. Outcomes were all-cause mortality and organ disorders-related hospitalisation identified using ICD-10 codes. Cumulative incidences were estimated using the Kaplan-Meier method. Incidence rate ratios (IRR) were estimated such as the adjusted sub-distribution hazard ratio on 6-month periods during the follow-up using Cox regressions.

RESULTS

63,990 COVID-19 subjects (mean age (SD) 65 years (18), 53.1% male) were matched to 319,891 controls. The weighted cumulative incidences of all-cause mortality and all-cause hospitalisation were 5,218/105 person-years (PY) [95%CI 5,127; 5,305] and 16,334/105 PY [16,162; 16,664] among COVID-19 subjects and 4,013/105 [3,960; 4,047] and 12,095/105 PY [12,024; 12,197] among controls, respectively. COVID-19 subjects were more likely to be hospitalised for cardiovascular (IRR 1.22 [1.15; 1.29]), psychiatric (IRR 1.41 [1.29; 1.53]), neurological (IRR 1.50 [1.41; 1.61]), and respiratory events (IRR 1.99 [1.87; 2.12]). The excess risk strongly decreased after the first 6 months for all outcomes but remained significantly increased up to 30-month for neurological, respiratory disorders, chronic renal failure and diabetes.

CONCLUSIONS

COVID-19 hospitalised subjects were at increased risk of death or hospitalisation for various organ disorders up to 30 months after discharge, reflecting the multi-organ consequences of the disease.

Trajectories of persisting Covid- 19 symptoms up to 24 months after acute infection: findings from the Predi-Covid cohort study

INTRODUCTION

Long COVID is a multisystemic, fluctuating condition inducing a high burden on affected people. Despite the existence of some guidelines, its management remains complicated. We aimed to demonstrate that symptoms after a COVID-19 infection evolve following different trajectories from the initial infection until 24 months after, to identify the determinants of these trajectories, and the quality of life of people in these trajectories.

METHODS

Study participants from the Predi-COVID cohort were digitally followed from their acute SARS-CoV-2 infection until a maximum of 24 months. Data from 10 common symptoms collected at study inclusion, and months 12, 15, and 24 awere used to create a total symptom score. Impact of symptoms on quality of life was assessed at month 24 using standardized questionnaires and ad-hoc questions. Latent classes mixed models were used to identify total score symptom trajectories and individual symptoms trajectories.

RESULTS

We included 555 participants with at least 2 different time points available during follow-up (Baseline and at least one of the M12, M15 or M24 questionnaires). We identified 2 total symptom score trajectories: T1 "Mild symptoms, fast resolution" (N = 376; 67.7%), and T2 "Elevated and persisting symptoms" (N = 179; 32.3%). The main determinants of being in T2 were: older age (OR = 1.86; p = 0.003), to be a woman (OR = 1.81; p = 0.001)), elevated BMI (OR = 3.97; p < 0.001), and the presence of multi comorbidities (OR = 2.67; p = 0.005). Symptoms impacted the quality of life more in T2 than in T1 at 24 months (high fatigue level: 64.8% vs 19.5%, altered respiratory quality of life: 42.6% vs 4.6%, anxiety: 24.1% vs 4.6%, stress: 57.4% vs 35.6%, and bad sleep: 75.9% vs 51.1%).

CONCLUSION

A third of our study population was in the T2 "Elevated and persisting symptoms" trajectory, presenting high symptom frequencies up to 24 months after initial infection, with a significant impact on quality of life. This work underlined the urgent need to better identify individuals most vulnerable to long-term complications to develop tailored interventions for them.

TRIAL REGISTRATION

Clinicaltrials.gov NCT04380987 (date of registration: 2020-05-07).

Long-term neuropsychiatric and neuropsychological impact of the pandemic in Italian COVID-19 family clusters, including children and parents

AIM

This study investigated the long-term neuropsychiatric and neuropsychological impact of COVID-19 on children and their parents in households with COVID-19 exposure.

METHODS

A prospective cohort study was conducted on 46 families attending the COVID-19 Follow-up Clinic at the Department for Women's and Children's Health, Padua (Italy) from December 2021 to November 2022. Self-perceived stress-related, emotional-behavioral, and post-traumatic stress (PTSD-related) symptoms were assessed in both children and parents. Children with underlying neuropsychiatric conditions were excluded from the study.

RESULTS

A total of 81 parents (median age = 38 years [IQR: 43-48], females = 44 [54.3%]), and 77 children (median age = 8 years [IQR: 5-11], females = 33 [42.9%]) participated in the study. Overall,125 (79%) and 33 (21%) participants were classified as COVID-19 cases and non-COVID-19 cases, respectively. The time interval between the COVID-19 family outbreak and the neuropsychiatric and psychological assessment was ≤4 months (median=3 months [IQR=0]) for 89 (56.3%) participants and >4 months for 69 (43.8%) (median=11.5 months [IQR=5-12]) participants. A total of 136 (86.1%) participants reported stress-related symptoms, with emotional stress being the most common. A positive correlation was observed between self-perceived stress-related symptoms in children and their parents within the same family (r=0.53, p=0.0005). Among children aged 6-18 years, 16 (37.2%) had clinical scores for internalizing symptoms at the Child Behavior Checklist (CBCL), while none children aged 1.5-5 years showed clinical score for internalizing symptoms. Similarly, total difficulty scores at the Strengths and Difficulties Questionnaire (SDQ 4-17) and assessment of PTSD-related symptoms through the Trauma Symptom Checklist for Young Children (TSCYC) questionnaire were within non-clinical cut-offs in 45 (84.9%) and 43 (75.4%) children aged 3-12 years, respectively. The Trauma Symptom Checklist for Children (TSCC) resulted in the non-clinical cut-off for 36 (92.3%) children aged 8-18 years. While a higher prevalence of self-perceived stress-related symptoms was found in COVID-19 cases compared to non-COVID-19 cases (p=.01), no differences were observed for emotional-behavioral and PTSD-related symptoms between the two groups.

CONCLUSIONS

This study documented the impact of the COVID-19 pandemic on Italian children and their family's stress levels. Further research is needed to confirm our findings and explore the long-term effects of the pandemic on families.

Long COVID clinical evaluation, research and impact on society: a global expert consensus

BACKGROUND

Long COVID is a complex, heterogeneous syndrome affecting over four hundred million people globally. There are few recommendations, and no formal training exists for medical professionals to assist with clinical evaluation and management of patients with Long COVID. More research into the pathology, cellular, and molecular mechanisms of Long COVID, and treatments is needed. The goal of this work is to disseminate essential information about Long COVID and recommendations about definition, diagnosis, treatment, research and social issues to physicians, researchers, and policy makers to address this escalating global health crisis.

METHODS

A 3-round modified Delphi consensus methodology was distributed internationally to 179 healthcare professionals, researchers, and persons with lived experience of Long COVID in 28 countries. Statements were combined into specific areas: definition, diagnosis, treatment, research, and society.

RESULTS

The survey resulted in 187 comprehensive statements reaching consensus with the strongest areas being diagnosis and clinical assessment, and general research. We establish conditions for diagnosis of different subgroups within the Long COVID umbrella. Clear consensus was reached that the impacts of COVID-19 infection on children should be a research priority, and additionally on the need to determine the effects of Long COVID on societies and economies. The consensus on COVID and Long COVID is that it affects the nervous system and other organs and is not likely to be observed with initial symptoms. We note, biomarkers are critically needed to address these issues.

CONCLUSIONS

This work forms initial guidance to address the spectrum of Long COVID as a disease and reinforces the need for translational research and large-scale treatment trials for treatment protocols.

Search Volume of Insomnia and Suicide as Digital Footprints of Global Mental Health During the COVID-19 Pandemic: 3-Year Infodemiology Study

BACKGROUND

The global COVID-19 pandemic's mental health impact was primarily studied in the initial year of lockdowns but remained underexplored in subsequent years despite evolving conditions. This study aimed to address this gap by investigating how COVID-19-related factors, including nationwide COVID-19 deaths and incidence rates, influenced mental health indicators over time.

OBJECTIVE

This study aimed to examine the interplay among national COVID-19 pandemic deaths, incidence rates, stay-at-home behaviors, and mental health indicators across different income-level countries. Specifically, we assessed the mediating role of stay-at-home behaviors in the relationship between the COVID-19 pandemic deaths and mental health indicators.

METHODS

We analyzed data from 45 countries spanning March 2020 to October 2022. COVID-19-related factors included national COVID-19 pandemic deaths and incidence rates, obtained from publicly available datasets. Stay-at-home behaviors were assessed using Google Location History data, which captured residence-based cell phone activity as a proxy for mobility patterns. Mental health indicators were evaluated through Google Trends data, measuring changes in search volumes for "insomnia" and "suicide." The interplay among these variables was assessed using mediation analysis to quantify the proportion mediated by stay-at-home behaviors in the association between COVID-19 deaths and mental health indicators.

RESULTS

In high-income countries, during the first pandemic year (March 2020 to February 2021), a higher monthly COVID-19 death count was associated with increased searches for "insomnia," with a total effect estimate of 2.1×10-4 (95% CI 4.3×10-5 to 3.9×10-4; P=.01). Stay-at-home behaviors mediated 31.9% of this effect (95% CI 9.8% to 127.5%, P=.02). This association weakened and became nonsignificant in the second and third years (P=.25 and P=.54, respectively). For middle-income countries, a different pattern emerged regarding "suicide" searches. Higher COVID-19 death counts were linked to a decline in "suicide" searches in the first (estimate: -3.5×10-4, 95% CI -6.1×10-4 to -9.8×10-5; P=.006) and second years (P=.01). Mediation analysis indicated that this effect was not significantly explained by stay-at-home behaviors, suggesting the influence of other societal factors. In high-income countries, no significant association between COVID-19 deaths and "suicide" searches was observed in the first year (P=.86). However, a positive association emerged in the second year, approaching statistical significance (estimate: 2.2×10-4, 95% CI -9.5×10-7 to 4.2×10-4; P=.05), and became significant in the third year (estimate: 5.0×10-4, 95% CI 5.0×10-5 to 1.0×10-3; P=.03,), independent of stay-at-home behaviors.

CONCLUSIONS

Our findings highlight how the mental health impact of the pandemic varied across income groups and evolved over time. The mediating effect of stay-at-home behaviors was significant in the early phases but diminished in later stages, particularly in high-income countries. Meanwhile, middle-income countries exhibited unique patterns that suggest alternative protective factors. These insights can inform tailored mental health interventions and policy strategies in future public health crises.

Autoimmune encephalitis associated with anti-SOX1 autoantibodies in COVID-19: A case report

Coronavirus disease 2019 (COVID-19) might be complicated by various non-respiratory conditions, including encephalitis. Encephalitis in COVID-19 represents a heterogenous group of diseases with variable aetiology. Autoimmune encephalitis (AIE) is the least common but one of the most severe causes of encephalopathy in COVID-19. AIE is a rare disease that is associated with different types of autoantibodies mostly directed against various neuronal antigens. Anti-Sry-like high mobility group box (SOX1) autoantibodies have been described in various clinical conditions, including Lambert-Eaton myasthenic syndrome, paraneoplastic cerebellar degeneration and rare cases of paraneoplastic AIE. We present the case of 28-year-old female patient with COVID-19 confirmed by the polymerase chain reaction (PCR) test. She was admitted with fever, headache, disorientation and new-onset refractory status epilepticus. Computed tomography and magnetic resonance imaging of the brain were unremarkable. Cerebrospinal fluid analysis showed pleocytosis, an increased total protein concentration and increased albumin and immunoglobulin G. Electroencephalography revealed findings suggestive of AIE. Serologic examination of antineuronal antibodies showed anti-SOX1 autoantibodies. A course of parenteral methylprednisolone and intravenous immunoglobulin led to rapid clinical improvement. The patient was discharged free of seizures as well as neurologic and psychiatric symptoms. After discharge, an oncologic screening was performed and ruled out a paraneoplastic aetiology.

Cost-effectiveness models assessing COVID-19 booster vaccines across eight countries: A review of methods and data inputs

Coronavirus disease 2019 (COVID-19) continues to cause serious health consequences globally. Policy makers now assess cost effectiveness (CE) when evaluating COVID-19 vaccines. A targeted literature review was performed to examine recent CE evidence for COVID-19 vaccines, as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transitions from pandemic to endemic, to identify best practices. Data were from large EU countries (UK, Spain, Germany, France, and Italy), US, Canada, and Australia. Nine CE studies met the inclusion criteria. Studies evaluated booster vaccination, and mainly considered mRNA vaccines. CE studies reported that COVID-19 vaccines provided health benefits and were cost-effective or showed cost-savings. Benefits were more pronounced in older and high-risk populations based on higher rates of COVID-19 hospitalization and death. CE findings were most sensitive to estimates of incidence of COVID-19, SARS-CoV-2 transmissibility, vaccine effectiveness, waning/duration of vaccine protection, and hospitalization costs. Most data inputs were sourced from real-world evidence (RWE). Lack of inclusion of some parameters, such as transmission modeling, productivity losses, and the impact of long COVID may undervalue COVID-19 vaccines. As SARS-CoV-2 evolves and COVID-19 vaccines are updated, continuous generation of RWE is needed to demonstrate the CE of COVID-19 vaccines in an ongoing manner.

The COVID-19 pandemic in children and young people during 2022-24: what new did we learn?

The research conducted between 2022 and 2024 has advanced our understanding of COVID-19 in children and young people (CYP), particularly with the emergence of the Omicron variant and its subvariants. The findings have reinforced that, while Omicron infections are often milder compared to earlier variants, the overall seroprevalence of SARS-CoV-2 in children has increased, with notable regional and demographic disparities. COVID-19-related hospitalisation rates in children rose during Omicron waves, especially among infants, unvaccinated individuals, and CYP at higher risk, i.e. with comorbidities such as obesity, diabetes, and neurological or cardiac conditions. Despite this, severe disease and mortality in children remained very low. The observed increases in type 1 diabetes incidence and multisystem inflammatory syndrome in children (MIS-C) have also highlighted the broader systemic effects of SARS-CoV-2 in paediatric populations. Evidence has underscored the protective effect of vaccination in preventing severe disease and MIS-C and vaccine safety, emphasising the need for targeted immunisation strategies, particularly among children who may be at higher risk. Studies have also estimated that a significant proportion of children experienced persistent post-COVID-19 infection symptoms such as fatigue, mood disturbances, sleep disorders, and respiratory difficulties, but the reported prevalence varied widely, from as low as 1.6% to as high as 70%, due to differences in study methodologies, case definitions, and populations studied. Standardised definitions and measurement tools, such as those developed through international consensus processes, are required to improve diagnosis, treatment, and research into this persisting condition. Ethnic disparities in vaccine uptake persist, implying that vaccine hesitancy and accessibility, alongside approaches to countering disinformation, are important areas for future research.

Booster vaccination and post-COVID-19 condition during the Omicron variant-dominant wave: a large population-based study

OBJECTIVES

The effect of the COVID-19 booster vaccination and the long-term consequences concerning preventing post-COVID-19 condition (PCC) remains unclear. We aimed to investigate the association of COVID-19 booster vaccination dose and vaccination timing before infection with the risk of PCC during the Omicron variant-dominant wave.

METHODS

This population-based study included patients confirmed with COVID-19 (extracted from the Health Center Real-time Information-sharing System) aged 20-69 years, who were infected between 1 July and 31 August 2022. We used a self-report questionnaire to evaluate PCC and extracted information on vaccination from the municipal vaccine registry system. We calculated multiple propensity scores for COVID-19 vaccination status (unvaccinated, 1-2 doses and ≥3 doses) to control for baseline population differences. We then used a logistic regression model with inverse probability weighting to analyse the associations between the number of vaccine doses and the risk of PCC. Additionally, we conducted stratified analysis by gender and subgroup analysis for respiratory and neurological symptoms. Multivariable logistic regression was used to analyse the association between vaccination timing and PCC risk, adjusting for vaccination doses.

RESULTS

Of the 7936 participants with COVID-19 (mean age 42.9 years, 4553 women), 940 (11.8%) had at least 1 PCC. Compared with people unvaccinated, those vaccinated ≥3 times before the infection had a lower probability of PCC with the OR of 0.69 (95% CI: 0.53-0.90), although we detected no association with one or two doses. This association was present in women (≥3 doses vs. unvaccinated OR: 0.70, 95% CI: 0.51-0.95) but not in men. Those vaccinated ≥3 times had fewer neurological symptoms compared with those unvaccinated (OR: 0.61, 95% CI: 0.45-0.83); however, no significant association was found for respiratory symptoms.

DISCUSSION

This study suggests that booster vaccination could lower the risk of PCC.

Cognitive reserve moderates the effect of COVID-19 on cognition: A systematic review and meta-analysis of individual participant data

Elucidating the factors that mitigate the effects of COVID-19 on cognitive function offers important insights for public health policy and intervention. This systematic review and individual participant data (IPD) meta-analysis assesses cognitive reserve (CR) as a potential moderator of post-COVID-19 cognitive dysfunction (PCCD). Under PRISMA-IPD guidelines, data searches were conducted via PubMed, PsycINFO, Scopus, and Embase, up to January 2023. Eligible studies included at least one cognitive assessment, CR proxy, and disease severity indicator. Of 5604 studies, 87 were eligible (10,950 COVID-19 cases; 78,305 controls), and IPD was obtained for 29 datasets (3919 COVID-19 cases; 8267 controls). Three-level random-effects meta-analyses indicated that CR had a moderate positive association (rsp =.29), and COVID-19 severity had a small negative association (rsp = -.07) with cognitive outcomes. These effects were moderated by a significant within-study interaction. Cognitive deficits following COVID-19 were 33 % smaller among high CR individuals, and 33 % greater among low CR individuals, relative to those with average CR. Population-based initiatives promoting reserve-building behaviors may alleviate the PCCD-related public health burden. REVIEW REGISTRATION: PROSPERO registration number: CRD42022360670.

Acute COVID-19 severity markers predict post-COVID new-onset psychiatric disorders: A 2-year cohort study of 34,489 patients

New-onset psychiatric disorders are frequent after COVID-19. We aim to determine whether acute COVID-19 severity markers can predict post-COVID new-onset psychiatric disorders. We conducted an electronic health records (EHR) cohort study of patients hospitalized for COVID-19 and without any known history of psychiatric disorders. Patients were included between January 2020 and September 2022 in one of the 36 university hospitals of the Assistance Publique - Hôpitaux de Paris. Acute COVID-19 clinical and biological severity markers were recorded during hospitalization for COVID-19. Psychiatric ICD-10 diagnoses were recorded up to 2 years and 9 months after hospitalization for COVID-19. Predictors of post-COVID new-onset psychiatric disorders were identified based on Cox regression models and sensitivity analyses. Predictive scores were built and tested in age- and sex-stratified populations. A total 34,489 patients hospitalized for COVID-19 were included; 3717 patients (10.8%) had at least one post-COVID new-onset psychiatric disorder. Hospital stay >7 days (HR = 1.72, 95%CI [1.59-1.86], p < 0.001), acute delirium (HR = 1.49, 95%CI [1.28-1.74], p < 0.001), elevated monocyte count (HR = 1.14, 95%CI [1.06-1.23], p < 0.001) and elevated plasma CRP (HR = 0.92, 95%CI [0.86-0.99], p = 0.04) independently predicted post-COVID new-onset psychiatric disorders. Sensitivity analyses confirmed hospital stay >7 days, acute delirium, and elevated monocyte count as predictors. Predictive scores based on these variables had good 12-month positive predictive values, up to 7.5 times more accurate than random in women < 65 years. In conclusion, hospital stay >7 days, acute delirium, and elevated monocyte count during acute COVID-19 predict post-COVID new-onset psychiatric disorders.

Five Years of Long COVID Syndrome: An Updated Review on Cardiometabolic and Psychiatric Aspects

Five years after the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, there is still a significant number of people who have survived COVID-19 but never fully recovered from the disease. They go through an odyssey of doctor visits and a multitude of diagnostic tests, which ultimately do not provide concrete correlations and answers to the question of how exactly long COVID (LC) affects both physical and mental health, and performance. Often, not even highly technical and highly specialized methods, such as cardiac magnetic resonance imaging (MRI), can provide further explanation. Various research efforts continue to investigate the causes, effects and possible treatments of LC, particularly its impact on cognition and mental health. Patients with LC may experience persistent symptoms, but new symptoms also occur. Based on available studies, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) does not only affect the pulmonary system, but nearly every major system and organ, from the brain and heart to the kidneys and immune system. What mechanisms could explain the persistent symptoms of LC and the inadequate recovery? How valuable is an early internal and neurological examination, particularly in the context of psychotherapy? In this review, we examined which factors could contribute to the persistence of LC symptoms and to what extent mitochondrial impairment by LC can explain the symptoms of LC.

Long-term multi-systemic complications after SARS-CoV-2 Omicron and Delta infection in children: a retrospective cohort study

OBJECTIVES

Most studies on long-term sequelae of SARS-CoV-2 infection in children were conducted pre-Omicron and pre-dated vaccination rollout. We examined long-term risk of new-incident multi-systemic sequelae following SARS-CoV-2 Delta/Omicron infection in a multi-ethnic Asian paediatric population.

METHODS

Retrospective cohort study of Singaporean children aged 1-17 years infected during Delta/Omicron BA.1/2 transmission, and contemporaneous test-negative groups. Cox regression was utilized to estimate risks of new-incident sequelae at 31-300 days post-infection.

RESULTS

A total of 267,952 SARS-CoV-2-infected children were included, together with 273,517 test negatives. ≥95 % were infected during Omicron. During Delta, 23.6 % of infected cases were fully vaccinated; during Omicron, 60.4 % were fully vaccinated. ≥98% had mild infection not requiring hospitalization. Overall, there was a modestly increased risk of long-term respiratory sequelae (adjusted hazard ratio [aHR] = 1.09, 95 % CI: 1.01-1.18) and specifically bronchitis (aHR = 1.17, 95 % CI: 1.06-1.29) in the SARS-CoV-2-infected group vs. test negatives. During Delta, an increased risk of endocrine conditions (e.g. diabetes) was observed (aHR = 3.63, 95 % CI: 1.25-10.50); whereas during Omicron, an increased risk of bronchitis (aHR = 1.09, 95 % CI: 1.02-1.20) was observed in COVID-19 cases vs. test negatives. Elevated risk of bronchitis was observed among unvaccinated COVID-19 cases (aHR = 1.17, 95 % CI: 1.06-1.29) vs. test negatives, but not in individuals who had received ≥1 vaccine dose. Risks of chronic sequelae after COVID-19 hospitalization were comparable with those after historical influenza hospitalization; albeit reduced when compared with respiratory sequelae after historical hospitalizations for respiratory syncytial virus.

DISCUSSION

Evidence of chronic sequelae in organ systems other than the respiratory system was limited in a paediatric cohort predominantly infected with mild SARS-CoV-2 Omicron infection. Risks of chronic sequelae in hospitalized COVID-19 cases did not substantially differ from historical influenza hospitalizations. Elevated risk of bronchitis was observed after SARS-CoV-2 infection in children vs. test negatives; an increased risk of respiratory sequelae was documented post respiratory syncytial virus hospitalization versus COVID-19, including children aged under 5 years.

Neurocognitive and emotional long-term effects of COVID-19 infections in children and adolescents: results from a clinical survey in Bavaria, Germany

BACKGROUND

While children and adolescents typically experience mild symptoms during the acute phase of the COVID-19 infection, some may develop severe post-infectious symptoms. In our study Post-COVID Kids Bavaria we integrated somatic and psychiatric aspects of the post-COVID syndrome to provide a holistic description of symptoms, provide early treatment, and detect possible risk factors associated with post-infectious neurocognitive and emotional impairments.

METHODS

We conducted an observational study involving 85 pediatric patients aged 12-17 years (M = 12.48, 61.2% female) who had confirmed COVID-19 infections and were experiencing persistent symptoms for at least 4 weeks. Our neuropsychological assessment comprised infection-specific patient interviews, psychopathological examinations, emotional well-being and behavioral difficulty questionnaires, and (computerized) tests assessing concentration, attention, and memory skills. Additionally, patients underwent neurologic, pneumologic, gastrointestinal, and cardiologic assessments.

RESULTS

Overall, the majority of patients reported experiencing elevated levels of fatigue (82.4%), loss of motivation (72.9%), concentration and attention deficits (71.8%), a worsened mood (53%), and a higher level of anxiety (31.8%). The most common diagnosis was the post-COVID adjustment disorder (ICD-10 F43.2, U09.9!; 38.8%) followed by the post-COVID attention deficit disorder (ICD-10 F98.80, U09.9!; 23.5%). Neuropsychiatric evaluation primarily identified deficits in sustained attention. There was a significant association between somatic and psychiatric post-COVID diagnoses. Patients with allergies exhibited a higher risk of developing a post-COVID adjustment disorder. For the post-COVID attention deficit disorder, age, sex, obesity, pre-existing psychiatric diagnosis, and the virus variant were relevant factors.

CONCLUSIONS

Our findings indicate a diverse array of neuropsychiatric symptoms associated with the post-COVID syndrome, emphasizing the interconnectedness between somatic and neuropsychiatric diagnoses. To optimize treatment, comprehensive strategies involving both somatic and psychiatric professionals are crucial for addressing the syndrome's complexity and managing symptoms effectively.

STUDY REGISTRATION

The study Post-COVID Kids Bavaria was registered with the German Clinical Trials Register (DRKS), funded by the Bavarian State Ministry of Health, Care and Prevention and approved by the Ethics Committee of the University of Regensburg on the 29th of November, 2021 (Reference: 21-2691-101).

Cognitive Impairments in Two Samples of Individuals with ME/CFS and Long COVID: A Comparative Analysis

Cognitive impairments, including memory and concentration difficulties, are common in individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID. These conditions frequently co-occur, but it remains unclear how cognitive difficulties differ between individuals with ME/CFS, long COVID, both, or neither. The purpose of this study was to examine cognitive impairment presence and type for individuals with and without these conditions. Data from the 2022 and 2023 National Health Interview Survey were analyzed. Participants included 27,512 and 29,404 U.S. adults in 2022 and 2023, respectively. Survey weights and variance estimation variables were utilized and multivariate logistic regression models assessed the likelihood of cognitive difficulty, accounting for sociodemographics and shared variance. Participants from both cohorts were primarily female, white, and non-Hispanic/Latine, with an average age of 48.1 years in both cohorts. ME/CFS (aOR 6.18; 95% CI 4.82-7.93; aOR 5.33; 95% CI 4.04-7.05) and long COVID (aOR 2.01; 95% CI 1.67-2.44; aOR 2.16; 95% CI 1.82-2.56) were significantly associated with reported cognitive difficulties, after controlling for the other condition and sociodemographic factors. Individuals with ME/CFS, particularly those with comorbid long COVID, are especially prone to memory and concentration difficulties.

Bivalent Boosters and Risk of Postacute Sequelae Following Vaccine-Breakthrough SARS-CoV-2 Omicron Infection: A Cohort Study

BACKGROUND

Vaccination has been shown to attenuate the risk of postacute sequelae following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, no prior population-based studies have evaluated if updated bivalent boosters reduce risk of postacute sequelae following Omicron variant infection, versus ancestral vaccines.

METHODS

National databases were utilized to construct a population-based cohort of adult individuals infected during Omicron-predominant transmission. Risk and excess burden (EB) of prespecified multiorgan new-incident diagnoses at 31-365 days post-SARS-CoV-2 infection were compared between individuals who received prior bivalent boosters and those boosted with ancestral messenger RNA (mRNA) vaccines, using competing-risks regression.

RESULTS

A total of 1 080 348 vaccine-breakthrough infections after an ancestral mRNA booster were contrasted against 9824 vaccine-breakthrough infections following a bivalent mRNA booster. There was an estimated 37.8% (hazard ratio [HR], 0.62 [95 confidence interval {CI}, .53-.73]) decrease in risk and lower overall EB per 1000 (-28.73 [95% CI, -40.47 to -16.99]) of any postacute sequelae, as well as a 39.9% (HR, 0.62 [95% CI, .52-.73]) decrease in risk and lower EB (-22.95 [95% CI, -32.71 to -13.19]) of any postacute neurological sequelae, among individuals who received prior bivalent boosters, versus those boosted with ancestral mRNA vaccines. Specifically, there was reduced risk of thrombotic disorders (HR, 0.54 [95% CI, .29-.99]), episodic neurological disorders (HR, 0.55 [95% CI, .43-.72]), movement disorders (HR, 0.57 [95% CI, .47-.70]), and autoimmune vasculitis (HR, 0.54 [95% CI, .29-.99]) 31-365 days postinfection among those who received prior bivalent boosters, versus those boosted with ancestral mRNA vaccines.

CONCLUSIONS

Boosting with updated bivalent mRNA vaccines was associated with greater attenuation of risk for postacute sequelae following Omicron variant infection, compared with ancestral mRNA boosters.

Evolution of long COVID over two years in hospitalised and non-hospitalised survivors in Bangladesh: a longitudinal cohort study

Background

In developing settings, comparative data on COVID hospitalised survivors (HS) and non-hospitalised survivors (NHS) is scarce. We determined burdens, incidence, evolution, and associated factors of long COVID-19 over two years among these groups.

Methods

We conducted a longitudinal cohort study in Dhaka, Bangladesh, and recruited confirmed COVID-19 survivors from December 2020 to May 2021 (previously reported). 346 survivors underwent in-person follow-ups at five, nine, 18 months and two years post-infection. The assessment included long COVID symptoms, cardiorespiratory function, neuropsychiatric conditions, quality of life, and laboratory tests. The outcomes included one or more symptoms and/or signs indicative of long COVID, aligning closely with the World Health Organization definition of post-COVID-19 condition.

Results

Of the 346 participants, we included 326 in the analysis. 78% of HS (n/N = 171/219) and 62% of NHS (n/N = 55/89) reported at least one sequela symptom. HS had higher odds of palpitations, headaches, dizziness, sleeping difficulties, brain fog, muscle weakness, joint pain, hypertension, insulin requirement, poor quality of life, and prolonged corrected QT intervals on electrocardiogram compared to NHS at two years (95% confidence interval (CI)>1). Regarding evolution, sequelae-symptoms, neurological outcomes, restrictive spirometry findings, and electrocardiogram abnormalities remained unchanged, although psychiatric sequelae, quality of life, and exercise capacity improved in both groups. Hospital readmission rates significantly increased (P < 0.05). The incidence rates of palpitations, cough, and hypertension were higher in HS compared to NHS (95% CI>1). Two or more vaccine doses decreased the risk of respiratory (adjusted risk ratio (aRR) = 0.76; 95% CI = 0.63-0.91) and psychiatric sequelae (aRR = 0.78; 95% CI = 0.66-0.92) than one or no doses.

Conclusions

COVID-19 survivors, particularly HS, experienced a higher burden of persistent symptoms and health issues two years after infection. However, vaccination significantly reduced the risk of respiratory and psychiatric outcomes. These findings highlight the importance of ongoing vaccination programs and the need for targeted rehabilitation services in low-resource settings.

Neuropsychiatric Manifestations of Long COVID-19: A Narrative Review of Clinical Aspects and Therapeutic Approaches

The COVID-19 (C-19) pandemic has highlighted the significance of understanding the long-term effects of this disease on the quality of life of those infected. Long COVID-19 (L-C19) presents as persistent symptoms that continue beyond the main illness period, usually lasting weeks to years. One of the lesser-known but significant aspects of L-C19 is its impact on neuropsychiatric manifestations, which can have a profound effect on an individual's quality of life. Research shows that L-C19 creates neuropsychiatric issues such as mental fog, emotional problems, and brain disease symptoms, along with sleep changes, extreme fatigue, severe head pain, tremors with seizures, and pain in nerves. People with cognitive problems plus fatigue and mood disorders experience great difficulty handling everyday activities, personal hygiene, and social interactions. Neuropsychiatric symptoms make people withdraw from social activity and hurt relationships, thus causing feelings of loneliness. The unpredictable state of L-C19 generates heavy psychological pressure through emotional suffering, including depression and anxiety. Neuropsychiatric changes such as cognitive impairment, fatigue, and mood swings make it hard for people to work or study effectively, which decreases their output at school or work and lowers their job contentment. The purpose of this narrative review is to summarize the clinical data present in the literature regarding the neuropsychiatric manifestations of L-C19, to identify current methods of diagnosis and treatment that lead to correct management of the condition, and to highlight the impact of these manifestations on patients' quality of life.

Immune dysregulation in psychiatric disorders with and without exposure to childhood maltreatment: A transdiagnostic stratified meta-analysis

INTRODUCTION

Childhood maltreatment (CM), i.e. physical, psychological, or sexual abuse and neglect, affects approximately one third of the general population and is an important risk factor for all major psychiatric disorders. Exposure to CM also has a profound impact on immune function, with both factors independently implicated in the development and prognosis of different mental disorders. This study aims to 1) assess differences in immune markers among adults diagnosed with psychiatric disorders with and without a history of CM and 2) explore the role of CM as a mediating factor in immune abnormalities among psychiatric patients compared to non-psychiatric controls.

METHODS

A PRISMA-compliant systematic search of PubMed, Web of Science and Embase databases was performed until October 24th, 2024 for original studies that assessed immune markers in trauma-stratified adult psychiatric patients (PROSPERO ID CRD42021273059). We modelled random-effects meta-analyses to compare levels of pro-inflammatory (PIM), anti-inflammatory (AIM) and cellular immune markers (CIM) between traumatized (CM + ) and non-traumatized (CM-) individuals, and investigated exposure to CM as a mediating factor in the immune abnormalities among adult psychiatric patients compared to non-psychiatric controls. Secondary analyses were performed for diagnostic subgroups and individual immune markers. Study quality was assessed with the Newcastle Ottawa Scale.

RESULTS

We included data from 53 studies on n = 12,141 patients with mood disorders (MD), schizophrenia spectrum disorders (SSD), substance use disorders (SUD), eating disorders (ED) and anxiety disorders (AD). We uncovered a consistent transdiagnostic impact of CM on blood-based pro-inflammatory molecules (OR = 1.186; 95 % CI 1.030-1.365, p = 0.018) among patients with psychiatric disorders. This effect was not observed in the non-psychiatric controls included in the same studies. We did not find evidence of specific trauma-induced abnormalities in immune composite scores for separate diagnostic subgroups, except for PIM in SUD patients (OR = 2.324, 95 % CI 1.043-5.182, p = 0.039). Interleukin 6 (IL-6) was identified as a significant mediator between CM exposure and a psychiatric diagnosis in adulthood (OR = 1.609; 95 % CI 1.100-2.353, p = 0.014), while increases in C-reactive protein (CRP) and Interleukin 10 (IL-10) did not appear to be trauma-specific.

CONCLUSION

Our findings confirm a transdiagnostic impact of exposure to CM on increased pro-inflammatory molecular and cellular immune levels in psychiatric patients. IL-6 emerged as a crucial mediator, suggesting that CM leads to specific immune alterations predisposing individuals to psychiatric conditions. This meta-analysis highlights the role of trauma-induced immune abnormalities as a potentially crucial mechanism contributing to increased vulnerability towards mental illness later in life.

A comprehensive review of methodologies and application to use the real-world data and analytics platform TriNetX

Randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy and safety of both pharmacological and non-pharmacological interventions. However, while they are designed to control confounders and ensure internal validity, their usually stringent inclusion and exclusion criteria often limit the generalizability of findings to broader patient populations. Moreover, RCTs are resource-intensive, frequently underpowered to detect rare adverse events, and sometimes narrowly focused due to their highly controlled environments. In contrast, real-world data (RWD), typically derived from electronic health records (EHRs) and claims databases, offers a valuable counterpart for answering research questions that may be impractical to address through RCTs. Recognizing this, the US Food and Drug Administration (FDA) has increasingly relied on real-world evidence (RWE) from RWD to support regulatory decisions and post-market surveillance. Platforms like TriNetX, that leverage large-scale RWD, facilitate collaborations between academia, industry, and healthcare organizations, and constitute an in-depth tool for retrieval and analysis of RWD. TriNetX's federated network architecture allows real-time, privacy-compliant data access, significantly enhancing the ability to conduct retrospective studies and refine clinical trial designs. With access to currently over 150 million EHRs, TriNetX has proven particularly effective in filling gaps left by RCTs, especially in the context of rare diseases, rare endpoints, and diverse patient populations. As the role of RWD in healthcare continues to expand, TriNetX stands out as a critical tool that complements traditional clinical trials, bridging the gap between controlled research environments and real-world practice. This review provides a comprehensive analysis of the methodologies and applications of the TriNetX platform, highlighting its potential contribution to advance patient care and outcomes.

Risk of new-onset dementia following COVID-19 infection: a systematic review and meta-analysis

BACKGROUND

Emerging evidence suggests coronavirus disease 2019 (COVID-19) infection may increase the risk of developing dementia, although studies have reported conflicting findings. This meta-analysis aimed to synthesise the literature on the association between COVID-19 and the risk of new-onset dementia.

METHODS

PubMed, Embase and Web of Science were searched for cohort studies or case-control studies that investigated new-onset dementia development among adult COVID-19 survivors compared to individuals without COVID-19 infection from inception to 9 November 2023. Studies that exclusively involved populations younger than 18 years, with known dementia or lacked adequate data about the risk of dementia were excluded. Two authors independently conducted the screening of eligible studies, data extraction and risk of bias assessment. The primary outcome was new-onset dementia following COVID-19 infection. Data were pooled using random-effects models, with hazard ratios (HRs) and 95% confidence intervals (CIs) calculated.

RESULTS

A total of 15 retrospective cohort studies encompassing 26 408 378 participants were included. Pooled analysis indicated COVID-19 was associated with an increased risk of new-onset dementia (HR = 1.49, 95% CI: 1.33-1.68). This risk remained elevated when compared with non-COVID cohorts (HR = 1.65, 95% CI: 1.39-1.95), and respiratory tract infection cohorts (HR = 1.29, 95% CI: 1.12-1.49), but not influenza or sepsis cohorts. Increased dementia risk was observed in both males and females, as well as in individuals older than 65 years (HR = 1.68, 95% CI: 1.48-1.90), with the risk remaining elevated for up to 24 months.

CONCLUSION

This meta-analysis demonstrates a significant association between COVID-19 infection and increased risk of developing new-onset dementia, which underscores the need for cognitive monitoring and early intervention for COVID-19 survivors to address potential long-term neurological impacts.

Neurobiology of COVID-19-Associated Psychosis/Schizophrenia: Implication of Epidermal Growth Factor Receptor Signaling

COVID-19 exhibits not only respiratory symptoms but also neurological/psychiatric symptoms rarely including delirium/psychosis. Pathological studies on COVID-19 provide evidence that the cytokine storm, in particular (epidermal growth factor) EGF receptor (EGFR, ErbB1, Her1) activation, plays a central role in the progression of viral replication and lung fibrosis. Of note, SARS-CoV-2 virus (specifically, S1 spike domain) mimics EGF and directly transactivates EGFR, preceding the inflammatory process. In agreement, the anticancer drugs targeting EGFR such as Nimotuzumab and tyrosine kinase inhibitors are markedly effective on COVID-19. However, these data might raise a provisional caution regarding implication of psychiatric disorder such as schizophrenia. The author's group has been investigating the etiologic and neuropathologic associations of EGFR signaling with schizophrenia. There are significant molecular associations between schizophrenia and EGFR ligand levels in blood as well as in the brain. In addition, perinatal challenges of EGFR ligands and intraventricular administration of EGF to rodents and monkeys both resulted in severe behavioral and/or electroencephalographic endophenotypes relevant to this disorder. These animal models also display postpubertal abnormality in soliloquy-like self-vocalization as well as in intercortical functional connectivity. Here, we discuss neuropsychiatric implication of coronavirus infection and its interaction with the EGFR system, by searching related literatures in PubMed database as of the end of 2023.

Health outcomes one year after Omicron infection among 12,789 adults: a community-based cross-sectional study

Background

Characterizing the paradigm and impact of long COVID is crucial for addressing this worldwide health challenge. This study aimed to investigate the prevalence of long COVID one year after primary Omicron infection and characterize differences in long-term health consequence between participants with persistent long COVID and those who fully recovered.

Methods

This a community-based cross-sectional study conducted from December 2023 to March 2024 at the China-Japan Friendship Hospital and 16 administrative districts in Beijing. 12,789 participants infected with Omicron between December 2022 and January 2023 were recruited through stratified multistage random sampling and included in the final analysis. Of them, 376 participants with persistent long COVID and 229 without long COVID were matched for further physical examinations. The primary outcome was the prevalence of long COVID one year after infection. Secondary outcomes included muscle strength, exercise capacity, health-related quality of life (HRQoL), mental health, work status, laboratory tests, and examinations.

Findings

Among 12,789 participants (media [IQR] age, 48.4 [37.3 to 61.4] years; 7817 females [61.1%]), 995 of them (7.8%) experienced long COVID within one year, with 651 (5.1%) having persistent symptoms. Fatigue (598/995 [60.1%]) and post-exertional malaise (367/995 [36.9%]) were the most common symptoms. Brain fog had the lowest resolution proportion as 4.2% within one year. The odds of long COVID increased with reinfections (odds ratios for one reinfection 2.592 [95% CI: 2.188 to 3.061]; two or more: 6.171 [3.227 to 11.557]; all p < 0.001). Participants with persistent long COVID had markedly lower muscle strength (upper-limb: 26.9 ± 12.4 vs. 29.1 ± 14.5 Kg; lower-limb: 40.0 [27.0 to 62.0] vs. 43.0 [28.0 to 59.0] s), worse exercise capacity and poorer HRQoL, and meaningful difference in laboratory tests results compared to those without long COVID. They also exhibited significantly higher proportions of abnormal lung function (FEV1 %pred<80%: 13.0% vs. 2.0%; DLco %pred<80%: 32.7% vs. 19.9%) and lung imaging abnormalities (23.5% vs. 13.6%).

Interpretation

The considerable health burden of long COVID and the progression of neurological symptoms following Omicron infection warrant close monitoring. Utilizing professional questionnaires and developing reliable diagnostic tools are necessary for improving diagnosis and treatment of long COVID.

Funding

This work was supported by Beijing Research Center for Respiratory Infectious Diseases (BJRID2024-012), Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (2022-I2M-CoV19-005/CIFMS 2021-I2M-1-048), the National Natural Science Foundation of China (82241056/82200114/82200009), the New Cornerstone Science Foundation.

Neuropsychiatric Symptoms and Psychotropic Medication Use Following SARS-Cov-2 Infection Among Elderly Residents in Long-Term Care Facilities

Background

SARS-CoV-2 infection can lead to persistent post-acute neuropsychiatric symptoms. Older adults with multimorbidity may be at increased risk of post-acute symptoms after COVID-19. The goals of the present study were to assess the associations of SARS-CoV-2 infection with neuropsychiatric symptoms and psychotropic medication prescription among older adults living in long-term care facilities.

Methods

Nursing home residents (n=111) participated in this three-month longitudinal study. Nurse ratings of neuropsychiatric symptoms were conducted at baseline and at the three-month follow-up. SARS-CoV-2 infection status and psychotropic medication prescription were extracted from a medical chart review.

Results

About 73.9% of participants were infected with SARS-CoV-2 on average 480.49 (SD= 228) days before study enrollment. There were no significant changes in neuropsychiatric symptoms during the study follow-up period. Participants with a SARS-CoV-2 infection had more agitation compared to those who were never infected. However, this effect disappeared after adjusting for age, sex, history of psychiatric disorder, neurocognitive status, and multimorbidity. Participants with SARS-CoV-2 had a higher number of psychotropic medication prescription. This effect was driven by increased use of antidepressants and antipsychotic medications.

Conclusion

Both acute and short-term neuropsychiatric symptoms associated with COVID-19 may contribute to long-term psychoactive polypharmacy among older adults living in long-term facilities.

Prion propensity of Betacoronaviruses including SARS-CoV-2

Prions are considered as sub-viral protein particles that have exceptional ability for multiple structural or functional conformational changes, that any might affect the regulation of viral infections. The aim of this study is to utilize two computational platforms to predict the prion-forming potential of the spike protein (S) in Betacoronavirus, including SARS-CoV-2 clades. The abovementioned computational platforms included two algorithms; the Prion Aggregation Prediction Algorithm (PAPA) and the Supervised Machine Learning Algorithm Called Prion RANKing and Classification (pRANK) have been adopted due to their high classifier performance proteome-wide when compared with other algorithms, such as PLAAC-LLR and prionW. The findings of this study imply the propensity of some Betacorona viruses, including the Wild type of SARS-CoV-2 and some variants, specifically as Gamma and Delta, to develop prion-like sequence which can act as a regulator for viral pathogenicity or as a biochemical threat.

Objectifying persistent subjective cognitive impairment following COVID-19 infection: cross-sectional data from an outpatient memory-clinic in Germany

OBJECTIVE

Subjective cognitive impairment is frequently reported by patients experiencing Post-COVID symptoms. This study aims to assess objective impairment in attention, memory, and executive functions among these patients. Further, we investigated potential determinants of objective cognitive impairment.

METHODS

In this cross-sectional study, standardized neuropsychological testing (Vienna Testing System), assessment of cognitive symptom aggravation, psychiatric anamnesis, and psychometrics (BDI-II, Fatigue Severity Scale) were conducted in 229 patients who voluntarily presented to our outpatient memory-clinic due to subjective cognitive impairment following COVID-19. Blood-samples were collected to assess peripheral immune markers (IL-6, CRP) and APOE-ε4 genotype.

RESULTS

Objective cognitive impairment in at least one domain was present in 39% of the patients and 47% showed symptoms of moderate or severe depression. The APOE-ε4 allele was present in 32% of the patients. Higher rates of depressive symptoms (OR = 1.41, 95%-CI = 1.02-1.95) and higher burden of the APOE-ε4 allele (OR = 3.29, 95%-CI = 1.51-7.40) predicted objective cognitive impairment, regardless of age, sex, years of formal education, time since infection, and medication for diabetes or hypertension. Fatigue severity, acute COVID-19 severity or inflammation markers had no impact.

CONCLUSIONS

In our study, subjective cognitive impairment following COVID-19 was more likely associated with high rates of depression rather than relatively low rates of objective cognitive performance. Thus, the study emphasizes the necessity for extensive neuropsychological testing and evaluation of depression when examining Post-COVID patients in clinical practice. Further, the link between objective cognitive impairment, depression and APOE-ε4 does not appear to be specific to Post-COVID symptoms. Therefore, depression- and APOE-ε4-mediated neurodegenerative pathomechanisms might be a promising therapeutical target.

Effects of nirmatrelvir/ritonavir (Paxlovid) on the nervous system: analysis on adverse events released by FDA

BACKGROUND

Nirmatrelvir/ritonavir, commonly known as Paxlovid, is one of the main drugs used to treat COVID-19. Neurological disorders are among the adverse drug reactions (ADRs) linked to Paxlovid, yet comprehensive data-mining studies based on real-world neurological adverse events induced by Paxlovid are lacking.

METHODS

It is an observational study, to reduce the risk of bias affected by COVID-19 disease, our study included only patients with COVID-19 disease. In this case, disproportionate analysis is performed using the Report Odds Ratio (ROR) and its 95% Confidence Interval (CI).

RESULTS

We screened and compared all medications associated with COVID-19 (N = 439) and found that 22 of these were linked to neurological adverse reactions. Paxlovid was associated with a threefold greater number of neurological adverse events compared to all other drugs combined (N = 11,792), with a strong signal value (ROR = 2.27).

CONCLUSIONS

Compared to all other COVID-19-related drugs, Paxlovid has the highest number and stronger signal value for neurologic-related adverse reactions. Clinicians should pay special attention to female patients taking Paxlovid within the first 30 days, monitoring for symptoms such as dysgeusia, ageusia, headache, and anosmia. In addition, headache and anosmia are not uncommon occurrences as mentioned in the instructions and should be noted.

Animal models of post-acute COVID-19 syndrome: a call for longitudinal animal studies

Animal models are indispensable for unraveling the mechanisms underlying post-acute sequelae of COVID-19 (PASC). This review evaluates recent research on PASC-related perturbations in animal models, drawing comparisons with clinical findings. Despite the limited number of studies on post-COVID conditions, particularly those extending beyond three months, these studies provide valuable insights. Three hallmark features of PASC-lung fibrosis, hyperglycemia, and neurological sequelae-have been successfully replicated in animal models, paving the way for mechanistic discoveries and future medical interventions. Although most studies have reported post-COVID conditions within 14-60 days post-infection, they still offer critical reference for future long-term research. This review also explores potential mechanisms of persisting immune misfiring, a key factor in the chronicity of PASC symptoms. Moreover, challenges in modeling PASC are also discussed, including the limited genetic diversity in inbred animal strains and difficulties in accurately identifying PASC-affected individuals. To address these issues, we propose methodological improvements, such as comparing individual animal parameters with control averages and incorporating genetically diverse populations like collaborative cross models. These strategies will enhance the identification and characterization of PASC endotypes in animal studies. By integrating findings from animal models with clinical manifestations of PASC, future research can provide more valuable insights into its mechanisms and support the development of effective therapeutic strategies. Finally, we emphasize the urgent need for longitudinal studies in animal models to fully uncover the mechanisms driving PASC and guide interventions to mitigate its public health impact.

The Association of a Lower Risk of Fibromyalgia with Human Papillomavirus Vaccination: A Retrospective Cohort Study from the TriNetX US Collaborative Network

OBJECTIVE

Remarkably similar symptoms have been observed between fibromyalgia patients and those who present adverse events after HPV vaccination. However, no research has been conducted on their association.

METHODS

Using data from the US collaborative network within the TriNetX network, we identified all the females who had had an HPV vaccination within 1 year before an index date falling between 2016 and 2023. We selected a propensity-score-matched (PSM, 1:1 ratio), non-HPV-vaccinated cohort as the comparator. Both cohorts were followed up from 1 day after the index date until the diagnosis of incidental fibromyalgia or until the patient was lost to the follow-up process or until the end of 2023.

RESULTS

After PSM, a total of 421,564 females in the HPV-vaccinated cohort and 421,564 females in the non-HPV-vaccinated cohort were included in the study. Significantly lower risks of developing fibromyalgia after 5 years' follow-up were consistent in different models after adjusting for different covariates (adjusted hazard ratios [aHRs]: 0.505, 0.665, and 0.601). Also, significantly lower risks of incident fibromyalgia were identified across different follow-up periods, namely, 1 day to 1 year (HR: 0.464; 95% CI, 0.386-0.559), 1 day to 3 years (HR: 0.553; 95% CI, 0.494-0.618), 1 day to 5 years (HR: 0.601; 95% CI, 0.549-0.658), and 1 day to 7 years (HR: 0.636; 95% CI, 0.587-0.690).

CONCLUSIONS

This study demonstrates that HPV vaccination significantly decreases the risk of developing incident fibromyalgia across different follow-up periods and subgroups. Our study suggests that HPV vaccination may potentially reduce the risk of developing fibromyalgia in female patients, which needs validation through studies of the mechanisms involved.

How Mild Is the Mild Long COVID? A Comprehensive Neuropsychological Assessment of Patients with Cognitive Complaints

The global impact of the Coronavirus Disease (COVID-19) pandemic has extended beyond physical health, leading to widespread mental health issues. Beyond respiratory symptoms, there is a growing concern about long-term cognitive effects, particularly in individuals who experienced mild cases of the infection. We aimed to investigate the neuropsychological aspects of long-term COVID-19 in non-hospitalized adults compared with a control group. This cross-sectional study included 42 participants, 22 individuals with a history of mild COVID, and 20 healthy controls. The participants were recruited from the community and underwent a comprehensive neuropsychological assessment. Participants from the mild COVID group reported cognitive symptoms persisting for an average of 203.86 days and presented a higher frequency of psychological treatment history (81.8%) compared with the control group (25.0%). History of anxiety disorders was more prevalent in the mild COVID group (63.6%) than in the control group (20.0%). Significant reductions in verbal working memory were observed in the mild COVID group. Levels of anxiety were found to have a significant impact on difficulties with visual recognition memory. This study reveals important neuropsychological alterations in individuals following mild COVID-19, emphasizing executive functions deficits. Our findings underscore the persistence of these deficits even in non-hospitalized cases, suggesting potential inflammatory mechanisms in the central nervous system. The study highlights the need for comprehensive assessments and targeted interventions to address the diverse cognitive impacts on individuals recovering from COVID-19.

Defining brain fog across medical conditions

'Brain fog' is commonly reported in more than a dozen chronic diseases, but what is it? We review research across conditions which has characterised brain fog and evaluate its definitions and objective correlates. Brain fog has been used to refer to a variable set of overlapping symptoms implicating cognition, fatigue, and affect. It has been defined as a distinct symptom, a syndrome, or a nonspecific term. We consider the evidence that brain fog is a transdiagnostic entity with a common phenomenology and profile of objective cognitive deficits. We discuss where these commonalities arise and argue that linguistic ambiguity, shared cognitive impairments, and noncognitive factors are more likely than shared neurobiology. We suggest how future research might apply existing tools to disambiguate the phenomena that brain fog conflates.

Risk factors for relapse and aggravation in membranous nephropathy after COVID-19 infection

BACKGROUND

Relapse of membranous nephropathy (MN) and other glomerular diseases has been observed after COVID-19 infection. The risk factors contributing to disease progression in MN patients after contracting COVID-19 remain unclear.

METHODS

This retrospective study included 656 consecutive patients with biopsy-proven primary MN who received treatment and were regularly followed up for over six months. Logistic regression analyses were conducted to identify risk factors for disease progression.

RESULTS

Among the cohort, 555 patients (84.6%) contracted COVID-19 from November 11th, 2022, to February 22nd, 2023. Of them, 112 patients (20.2%) experienced a > 50% increase in proteinuria, including 30 patients (5.4%) who experienced nephrotic syndrome relapse. Sixteen patients (2.9%) showed immune aggravation with elevated anti-PLA2R antibody levels, and five patients (0.9%) had immune relapse characterized by antibody reoccurrence. Kidney dysfunction, defined as an eGFR reduction > 30% from baseline, occurred in 10 patients (1.8%), with two patients (0.4%) progressing to ESKD. Four patients (0.7%) died of respiratory failure. Overall, 132 patients (24.0%) experienced disease progression after COVID-19 infection. Multivariate logistic regression identified longer fever duration (OR 1.118, 95% CI 1.029-1.356, P = 0.018), withdrawal of immunosuppressants and/or steroids (OR 2.571, 95% CI 1.377-4.799, P = 0.003) and extended drug cessation (OR 1.113, 95% CI 1.045-1.186, P = 0.001) as independent risk factors for MN progression.

CONCLUSIONS

These findings suggest prompt antiviral treatment and minimizing the duration of immunosuppressant withdrawal to optimize kidney outcomes in MN patients with COVID-19.

Examining recovery trajectories of physical function, activity performance, cognitive and psychological functions, and health related quality of life in COVID-19 patients treated in ICU: a Swedish prospective cohort study

PURPOSE

To investigate the recovery trajectories of physical function, activity performance, cognitive and psychological functions, and health related quality of life, as well as potential interaction effects, in individuals with COVID-19 treated in an intensive care unit (ICU).

METHODS

This prospective cohort study included patients with confirmed COVID-19 infection, treated in an ICU. Clinical assessments and self-ratings of functioning, disability and health were performed > 1 month and > 12 months after discharge from hospital.

RESULTS

Among the 65 included individuals (mean age 56.6, SD 11) significant improvements in physical and psychological function were observed over time, although not reaching population norms. Cognition remained unchanged (MoCA median 27, IQR 4). At the 12-month follow-up, physical limitations in activity (RAND-36) were found to be associated with dyspnea (mMRC-Dyspnea), mental and physical fatigue (MFI-20), and walking endurance (6-minute walk test) (r2 0.509 p < 0.001). Role limitations due to physical health (RAND-36) was found to be associated with physical and mental fatigue (MFI-20) and pain (r2 0.530 p < 0.001).

CONCLUSION

Despite improvements in functioning and health in this group of predominantly younger age recovery did not reach population norms. These results highlight persistent impairments and activity limitations that may necessitate long-term healthcare interventions.

Animal Models for Long COVID: Current Advances, Limitations, and Future Directions

Long COVID (LC) represents a chronic, systemic, and often disabling condition that poses a significant ongoing threat to public health. Foundational scientific studies are needed to unravel the underlying mechanisms, with the ultimate goal of developing effective preventative and therapeutic strategies. Therefore, there is an urgent demand for animal models that can accurately replicate the clinical features of LC. This review integrates clinical epidemiological data to summarize the pathological changes in extrapulmonary systems involved in LC. Additionally, it critically examines the capacity of existing animal models, including nonhuman primates, genetically modified mice, and Syrian hamsters, to exhibit enduring postinfection symptoms that align with human clinical manifestations, and identifies key areas requiring further development. The objective is to offer insights that will aid in the development of next-generation animal models, thereby accelerating our understanding of how acute respiratory viral infections transition into chronic conditions, and ensuring preparedness for future pandemics.

Genomics-driven integrative analysis highlights immune-related plasma proteins for psychiatric disorders

BACKGROUND

Genome-wide association studies (GWAS) have identified numerous variants associated with psychiatric disorders. However, it remains largely unknown on how GWAS risk variants contribute to psychiatric disorders.

METHODS

Through integrating two largest, publicly available, independent protein quantitative trait loci datasets of plasma protein and nine large-scale GWAS summary statistics of psychiatric disorders, we first performed proteome-wide association study (PWAS) to identify psychiatric disorders-associated plasma proteins, followed by enrichment analysis to reveal the underlying biological processes and pathways. Then, we conducted Mendelian randomization (MR) and Bayesian colocalization (COLOC) analyses, with both discovery and parallel replication datasets, to further identify protein-disorder pairs with putatively causal relationships. We finally prioritized the potential drug targets using Drug Gene Interaction Database.

RESULTS

PWAS totally identified 112 proteins, which were significantly enriched in biological processes relevant to immune regulation and response to stimulus including regulation of immune system process (adjusted P = 1.69 × 10-7) and response to external stimulus (adjusted P = 4.13 × 10-7), and viral infection related pathways, including COVID-19 (adjusted P = 2.94 × 10-2). MR and COLOC analysis further identified 26 potentially causal protein-disorder pairs in both discovery and replication analysis. Notably, eight protein-coding genes were immune-related, such as IRF3, CSK, and ACE, five among 16 druggable genes were reported to interact with drugs, including ACE, CSK, PSMB4, XPNPEP1, and MICB.

CONCLUSIONS

Our findings highlighted the immunological hypothesis and identified potentially causal plasma proteins for psychiatric disorders, providing biological insights into the pathogenesis and benefit the development of preventive or therapeutic drugs for psychiatric disorders.

Use of Complementary and Integrative Health Approaches in Adults with Long COVID in the US, a Nationally Representative Survey

Background: Long COVID is a serious, complex condition that has affected the lives of millions of people globally. Complementary and integrative health (CIH) approaches offer a wide range of potential therapies for the management of long COVID symptoms. However, there is limited information available about the utilization of CIH among long COVID patients. Methods: Nationally representative cross-sectional data from the United States 2022 National Health Interview Survey (NHIS, response rate 47.7%, n = 27,651) were used to investigate prevalence and predictors of CIH use in the past 12 months among individuals who experienced long COVID. The 12-month prevalence of CIH use was descriptively analyzed for those with long COVID versus those without using chi-squared tests or unpaired t-tests. Independent predictors of CIH use among individuals with long COVID were analyzed using a stepwise multiple logistic regression analysis. Results: A weighted total of 17,610,801 US adults (19.7%) who had a confirmed case of coronavirus disease 2019 (COVID-19) developed long COVID symptoms. A slightly greater proportion of individuals with long COVID (44.4%) than those without (40.9%) used CIH approaches in the past 12 months. The most used approaches were meditation, yoga, and massage therapy. CIH use by those with long COVID was significantly associated with younger age, female sex, higher education level, having health insurance coverage, higher household income level, receiving three or more COVID-19 vaccination doses, ever having asthma, and ever having an anxiety or depression diagnosis. Conclusions: Long COVID represents a major challenge for patients, health care providers, health care systems, economies, and global public health. CIH approaches may play an important role in symptom management for some patients, and additional research is needed to identify which modalities are most effective. Patients and health care providers may benefit from better information about the available options for treatment.

Resting-state neural dynamics changes in older adults with post-COVID syndrome and the modulatory effect of cognitive training and sex

Post-COVID syndrome manifests with numerous neurological and cognitive symptoms, the precise origins of which are still not fully understood. As females and older adults are more susceptible to developing this condition, our study aimed to investigate how post-COVID syndrome alters intrinsic brain dynamics in older adults and whether biological sex and cognitive training might modulate these effects, with a specific focus on older females. The participants, aged between 60 and 75 years, were divided into three experimental groups: healthy old female, post-COVID old female and post-COVID old male. They underwent an adaptive task-switching training protocol. We analysed multiscale entropy and spectral power density of resting-state EEG data collected before and after the training to assess neural signal complexity and oscillatory power, respectively. We found no difference between post-COVID females and males before training, indicating that post-COVID similarly affected both sexes. However, cognitive training was effective only in post-COVID females and not in males, by modulating local neural processing capacity. This improvement was further evidenced by comparing healthy and post-COVID females, wherein the latter group showed increased finer timescale entropy (1-30 ms) and higher frequency band power (11-40 Hz) before training, but these differences disappeared following cognitive training. Our results suggest that in older adults with post-COVID syndrome, there is a pronounced shift from more global to local neural processing, potentially contributing to accelerated neural aging in this condition. However, cognitive training seems to offer a promising intervention method for modulating these changes in brain dynamics, especially among females.

Review of organ damage from COVID and Long COVID: a disease with a spectrum of pathology

Long COVID, as currently defined by the World Health Organization (WHO) and other authorities, is a symptomatic condition that has been shown to affect an estimated 10 %-30 % of non-hospitalized patients after one infection. However, COVID-19 can also cause organ damage in individuals without symptoms, who would not fall under the current definition of Long COVID. This organ damage, whether symptomatic or not, can lead to various health impacts such as heart attacks and strokes. Given these observations, it is necessary to either expand the definition of Long COVID to include organ damage or recognize COVID-19-induced organ damage as a distinct condition affecting many symptomatic and asymptomatic individuals after COVID-19 infections. It is important to consider that many known adverse health outcomes, including heart conditions and cancers, can be asymptomatic until harm thresholds are reached. Many more medical conditions can be identified by testing than those that are recognized through reported symptoms. It is therefore important to similarly recognize that while Long COVID symptoms are associated with organ damage, there are many individuals that have organ damage without displaying recognized symptoms and to include this harm in the characterization of COVID-19 and in the monitoring of individuals after COVID-19 infections.

Central and peripheral kynurenine pathway metabolites in COVID-19: Implications for neurological and immunological responses

Long-term symptoms such as pain, fatigue, and cognitive impairments are commonly observed in individuals affected by coronavirus disease 2019 (COVID-19). Metabolites of the kynurenine pathway have been proposed to account for cognitive impairment in COVID-19 patients. Here, cerebrospinal fluid (CSF) and plasma levels of kynurenine pathway metabolites in 53 COVID-19 patients and 12 non-inflammatory neurological disease controls in Sweden were measured with an ultra-performance liquid chromatography-tandem mass spectrometry system (UPLC-MS/MS) and correlated with immunological markers and neurological markers. Single cell transcriptomic data from a previous study of 130 COVID-19 patients was used to investigate the expression of key genes in the kynurenine pathway. The present study reveals that the neuroactive kynurenine pathway metabolites quinolinic acid (QUIN) and kynurenic acid (KYNA) are increased in CSF in patients with acute COVID-19. In addition, CSF levels of kynurenine, ratio of kynurenine/tryptophan (rKT) and QUIN correlate with neurodegenerative markers. Furthermore, tryptophan is significantly decreased in plasma but not in the CSF. In addition, the kynurenine pathway is strongly activated in the plasma and correlates with the peripheral immunological marker neopterin. Single-cell transcriptomics revealed upregulated gene expressions of the rate-limiting enzyme indoleamine 2,3- dioxygenase1 (IDO1) in CD14+ and CD16+ monocytes that correlated with type II-interferon response exclusively in COVID-19 patients. In summary, our study confirms significant activation of the peripheral kynurenine pathway in patients with acute COVID-19 and, notably, this is the first study to identify elevated levels of kynurenine metabolites in the central nervous system associated with the disease. Our findings suggest that peripheral inflammation, potentially linked to overexpression of IDO1 in monocytes, activates the kynurenine pathway. Increased plasma kynurenine, crossing the blood-brain barrier, serves as a source for elevated brain KYNA and neurotoxic QUIN. We conclude that blocking peripheral-to-central kynurenine transport could be a promising strategy to protect against neurotoxic effects of QUIN in COVID-19 patients.

Social Disengagement in Post-Pandemic China: A Translation, Validation and Cross-Cultural Comparison of the Pandemic Disengagement Syndrome Scale

BACKGROUND

In contrast to abundant research on the various acute mental effects of COVID-19, the long-term influences of the pandemic are still underexplored in China owing to the paucity of assessment tools. The Pandemic Disengagement Syndrome Scale (PDSS) assesses people's social disengagement as a lasting psychological consequence in Western countries during the post-COVID-19 pandemic era. However, its generalizability across cultures is untested.

OBJECTIVES

The present studies aimed to validate Chinese PDSS and compare disengagement syndrome levels among China, the United States and Italy.

METHOD

In Study 1, a Chinese version of the PDSS was developed, psychometric properties including factor structure, internal consistency, measurement invariance across gender and country, discriminant validity, and test-retest reliability were tested. Study 2 examined demographic differences in the pandemic disengagement syndrome in China and compared Chinese PDSS scores and those in the United States and Italy (Ns = 415US, 455Italy, 826China).

RESULTS AND CONCLUSION

The findings indicated that disengagement syndrome may exist among Chinese people even substantially after the acute phases of the pandemic. Meanwhile, the Chinese PDSS demonstrating acceptable psychometric features can be a valid instrument to assess the syndrome. Several possible reasons for the persistence of disengagement in China are discussed.

Neurologic Manifestations of Long COVID Disproportionately Affect Young and Middle-Age Adults

OBJECTIVE

To investigate neurologic manifestations of post-acute sequelae of SARS-CoV-2 infection (Neuro-PASC) in post-hospitalization Neuro-PASC (PNP) and non-hospitalized Neuro-PASC (NNP) patients across the adult lifespan.

METHODS

Cross-sectional study of the first consecutive 200 PNP and 1,100 NNP patients evaluated at a Neuro-coronavirus disease 2019 (COVID-19) clinic between May 2020 and March 2023. Patients were divided into younger (18-44 years), middle-age (45-64 years), and older (65+ years) age groups.

RESULTS

Younger and middle-age individuals accounted for 142 of 200 (71%) of PNP and 995 of 1100 (90.5%) of NNP patients. Significant age-related differences in the frequencies of comorbidities and abnormal neurologic findings demonstrated higher prevalence in older patients. Conversely, 10 months from COVID-19 onset, we found significant age-related differences in Neuro-PASC symptoms indicating lower prevalence, and therefore, symptom burden, in older individuals. Moreover, there were significant age-related differences in subjective impression of fatigue (median [interquartile range (IQR)] patient-reported outcomes measurement information system [PROMIS] score: younger 64 [57-69], middle-age 63 [57-68], older 60.5 [50.8-68.3]; p = 0.04) and sleep disturbance (median [IQR] PROMIS score: younger 57 [51-63], middle-age 56 [53-63], older 54 [46.8-58]; p = 0.002) in the NNP group, commensurate with higher impairment in quality of life (QoL) among younger patients. Finally, there were significant age-related differences in objective executive function (median [IQR] National Institutes of Health [NIH] toolbox score: younger 48 [35-63], middle-age 49 [38-63], older 54.5 [45-66.3]; p = 0.01), and working memory (median [IQR] NIH toolbox score: younger 47 [40-53], middle-age 50 [44-57], older 48 [43-58]; p = 0.0002) in NNP patients, with the worst performance coming from the younger group.

INTERPRETATION

Younger and middle-age individuals are disproportionally affected by Neuro-PASC regardless of acute COVID-19 severity. Although older people more frequently have abnormal neurologic findings and comorbidities, younger and middle-age patients suffer from a higher burden of Neuro-PASC symptoms and cognitive dysfunction contributing to decreased QoL. Neuro-PASC principally affects adults in their prime, contributing to profound public health and socioeconomic impacts warranting dedicated resources for prevention, diagnosis and interventions. ANN NEUROL 2025;97:369-383.

Exploring the experiences of cognitive symptoms in Long COVID: a mixed-methods study in the UK

OBJECTIVE

To explore the lived experiences and extent of cognitive symptoms in Long COVID (LC) in a UK-based sample.

DESIGN

This study implemented a mixed-methods design. Eight focus groups were conducted to collect qualitative data, and the Framework Analysis was used to reveal the experiences and impact of cognitive symptoms. A self-report questionnaire was used to collect the quantitative data to assess the perceived change and extent of symptomology post COVID-19.

SETTING

Focus groups were conducted in April 2023 online via Zoom and in-person at the University of Leeds, UK.

PARTICIPANTS

25 people with LC living in the UK participated in the study. Participants were aged 19-76 years (M=43.6 years, SD=14.7) and included 17 women and 8 men.

RESULTS

Reduced cognitive ability was among the most prevalent symptoms reported by the study participants. Three key themes were identified from the qualitative data: (1) rich accounts of cognitive symptoms; (2) the impact on physical function and psychological well-being and (3) symptom management. Descriptions of cognitive symptoms included impairments in memory, attention, language, executive function and processing speed. Cognitive symptoms had a profound impact on physical functioning and psychological well-being, including reduced ability to work and complete activities of daily living. Strategies used for symptom management varied in effectiveness.

CONCLUSION

Cognitive dysfunction in LC appears to be exacerbated by vicious cycle of withdrawal from daily life including loss of employment, physical inactivity and social isolation driving low mood, anxiety and poor cognitive functioning. Previous evidence has revealed the anatomical and physiological biomarkers in the brain affecting cognition in LC. To synthesise these contributing factors, we propose the Long-COVID Interacting Network of factors affecting Cognitive Symptoms. This framework is designed to inform clinicians and researchers to take a comprehensive approach towards LC rehabilitation, targeting the neural, individual and lifestyle factors.