Why the hypothesis of psychological mechanisms in long COVID is worth considering

Side-effect expectations are associated with disability, physical fitness, and somatic symptoms 3 months after post-COVID neurological inpatient rehabilitation

INTRODUCTION

The COVID-19 pandemic, caused by SARS-CoV-2, has led to long-term health issues known as post-COVID-19 condition, including fatigue and cognitive disruptions. Despite its recognition as a public health concern, the efficacy of therapeutic interventions, especially in neurological rehabilitation, remains unclear. This study examines how treatment expectations are associated with psychological and physical outcomes in post-COVID-19 condition neurological rehabilitation.

METHODS

In an observational cohort study 61 patients with confirmed post-COVID-19 condition were included. Baseline (T0) data on treatment and side effect expectations were collected, before participants underwent a 4-6 week multidisciplinary rehabilitation program. Primary outcome was illness-related disability (Pain Disability Index). Secondary outcomes included depressive symptoms (PHQ-9), anxiety levels (GAD-7), functional status (PCFS), fatigue (CFS), and physical fitness (6MWT). Regression models analyzed the associations of baseline expectations with outcomes at the end of rehabilitation (T1) and three months post-rehabilitation (T2).

RESULTS

After adjusting for multiple testing, higher baseline side-effect expectations were associated with greater illness-related disability (β = 0.42, p = 0.007), reduced physical fitness (β = - 0.24, p = 0.04), and more somatic symptoms (β = 0.33, p = 0.006) at follow-up (T2). Positive treatment expectations were associated with poorer functional status (β = 0.35, p = 0.011) at T2.

CONCLUSION

This study highlights the associations of side-effect expectations with post-COVID-19 condition rehabilitation outcomes. Higher side-effect expectations were associated to poorer outcomes, indicating a nocebo effect. Surprisingly, positive expectations were linked to worse outcomes, possibly due to unrealistic optimism. Managing patient expectations realistically and addressing side-effect concerns seems crucial for optimizing rehabilitation outcomes.

Post COVID-19 syndrome among 5248 healthcare workers in England: longitudinal findings from NHS CHECK

OBJECTIVES

The objectives of this study were to examine post COVID-19 syndrome (PCS) among healthcare workers (HCWs) in England and explore risk factors for the condition.

METHODS

Data were collected by National Health Service (NHS) CHECK, a longitudinal study exploring HCWs' mental and physical well-being during and after the COVID-19 pandemic. NHS CHECK collected data at four timepoints: the baseline survey between April 2020 and January 2021, and then three follow-up surveys at approximately 6, 12 and 32 months post baseline. PCS data were collected at 12 and 32 months, while risk factor data were from baseline. HCWs were asked what COVID-19 symptoms they experienced and for how long and were classified as having PCS if they had any symptom for ≥12 weeks. Multilevel regressions were used to examine risk factors for PCS.

RESULTS

This study included 5248 HCWs. While 33.6% (n=1730) reported prolonged COVID-19 symptoms consistent with PCS, only 7.4% (n=385) reported a formal diagnosis of PCS. Fatigue, difficult concentrating, insomnia and anxiety or depression were the most common PCS symptoms. Baseline risk factors for reporting PCS included screening for common mental disorders, direct contact with COVID-19 patients, pre-existing respiratory illnesses, female sex and older age.

CONCLUSIONS

While a third of HCWs reported prolonged COVID-19 symptoms consistent with PCS, a smaller percentage reported a formal diagnosis of the condition. We replicate findings that direct contact with COVID-19 patients, older age, female sex, pre-existing respiratory illness and symptoms of common mental disorders are associated with increased risk of PCS.

The faces of Long-COVID: interplay of symptom burden with socioeconomic, behavioral and healthcare factors

AIMS

The long-term effects of COVID-19 (Long COVID) include 19 symptoms ranging from mild to debilitating. We examined multidimensional correlates of Long COVID symptom burden.

METHODS

This study focused on participants who reported having had COVID in Spring 2023 (n = 656; 85% female, mean age = 55, 59% college). Participants were categorized into symptom-burden groups using Latent Profile Analysis of 19 Long-COVID symptoms. Measures included demographics; quality of life and well-being (QOL); and COVID-specific stressors. Bivariate and multivariate associations of symptom burden were examined.

RESULTS

A three-profile solution reflected low, medium, and high symptom burden, aligning with diagnosis confirmation and treatment by a healthcare provider. Higher symptom burden was associated with reporting more comorbidities; being unmarried, difficulty paying bills, being disabled from work, not having a college degree, younger age, higher body mass index, having had COVID multiple times, worse reported QOL, greater reported financial hardship and worry; maladaptive coping, and worse healthcare disruption, health/healthcare stress, racial-inequity stress, family-relationship problems, and social support. Multivariate modeling revealed that financial hardship, worry, risk-taking, comorbidities, health/healthcare stress, and younger age were risk factors for higher symptom burden, whereas social support and reducing substance use were protective factors.

CONCLUSIONS

Long-COVID symptom burden is associated with substantial, modifiable social and behavioral factors. Most notably, financial hardship was associated with more than three times the risk of high versus low Long-COVID symptom burden. These findings suggest the need for multi-pronged support in the absence of a cure, such as symptom palliation, telehealth, social services, and psychosocial support.

Frontal-striatal glucose metabolism and fatigue in patients with multiple sclerosis, long COVID, and COVID-19 recovered controls

This study compared brain glucose metabolism using FDG-PET in the caudate nucleus, putamen, globus pallidus, thalamus, and dorsolateral prefrontal cortex (DLPFC) among patients with Long COVID, patients with fatigue, people with multiple sclerosis (PwMS) patients with fatigue, and COVID recovered controls. PwMS exhibited greater hypometabolism compared to long COVID patients with fatigue and the COVID recovered control group in all studied brain areas except the globus pallidus (effect size range 0.7-1.5). The results showed no significant differences in glucose metabolism between patients with Long COVID and the COVID recovered control group in these regions. These findings suggest that long COVID fatigue may involve non-CNS systems, neurotransmitter imbalances, or psychological factors not captured by FDG-PET, while MS-related fatigue is associated with more severe frontal-striatal circuit dysfunction due to demyelination and neurodegeneration. Symmetrical standardized uptake values (SUVs) between hemispheres in all groups imply that fatigue in these conditions may be related to global or network-level alterations rather than hemisphere-specific changes. Future studies should employ fine-grained analysis methods, explore other brain regions, and control for confounding factors to better understand the pathophysiology of fatigue in MS and long COVID. Longitudinal studies tracking brain glucose metabolism in patients with Long COVID could provide insights into the evolution of metabolic patterns as the condition progresses.

Prevalence and predictors of persistent cognitive and psychological symptoms in non-hospitalized post-COVID-19 patients seeking care at an outpatient post-COVID-19 clinic

Introduction

There is still much uncertainty about why some people develop persistent cognitive and mental health problems after SARS-CoV-2 infection and require additional care while others do not. In this study, we investigated the cognitive and psychological outcomes of non-hospitalized post-COVID-19 patients referred to an outpatient post-COVID-19 clinic for persistent symptoms more than 3 months after infection. Additionally, we aimed to explore the influence of demographic, physical, and personal factors on these outcomes.

Methods

This cross-sectional study was conducted at an outpatient post-COVID-19 clinic located at a prominent clinical teaching hospital in the Netherlands. Participants included non-hospitalized patients referred between 2020 and 2022, more than 3 months after SARS-CoV-2 infection, experiencing persistent symptoms. Main outcome measures included levels of anxiety and depression (Hospital Anxiety and Depression Scale), post-traumatic stress symptoms (PTSS) (Post-traumatic Stress Symptoms Checklist 14), and cognitive symptoms (Checklist for Cognitive and Emotional Consequences). Data analysis employed Spearman correlation and hierarchical multiple regression analyses.

Results

A total of 265 patients (61% female; mean age of 51.7 ± 13.7 years) were included in the study, with an average of 7.6 ± 4.5 months following SARS-CoV-2 infection. Among them, 104 patients (40%) reported high levels of anxiety, 111 patients (43%) showed high levels depressive symptoms, and 71 patients (31%) demonstrated high levels of PTSS. Additionally, 200 patients (79%) reported experiencing more than 2 cognitive symptoms. Bivariate analyses indicated associations between psychiatric history and increased cognitive and psychological symptoms. Multivariate analyses revealed positive associations between physical symptoms and cognitive and psychological symptoms, and catastrophizing thoughts were associated with higher anxiety levels (β = 0.217, p < 0.001). Conversely, positive refocusing was associated with lower depressive symptoms (β = -0.325, p < 0.001), PTSS (β = -0.290, p < 0.001), and cognitive symptoms (β = -0.220, p < 0.001).

Discussion

Among non-hospitalized COVID-19 patients seeking care for persistent symptoms, approximately one-third reported high levels of psychological symptoms, and more than three-quarter experienced cognitive symptoms. Physical symptoms, psychiatric history, and a tendency to catastrophize were identified as potential risk factors for persistent psychological and cognitive symptoms. Conversely, positive refocusing demonstrated a protective effect. These findings contribute to the understanding of long-term COVID-19 outcomes and emphasize the importance of integrating a biopsychosocial perspective into treatment approaches.

Frequency, persistence and relation of disease symptoms, psychosomatic comorbidity and daily life impairment after COVID-19: a cohort study in general practice

BACKGROUND

Long-lasting symptoms with a possible relation to psychosomatic comorbidity have been described following COVID-19. However, data is sparse in general practice. The trial's objective was to investigate the time-dependent frequency of disease symptoms and relation to psychosomatic comorbidity and daily life impairment (DLI).

METHODS

Comparative cohort study of patients reporting a previous SARS-CoV-2 infection and uninfected controls in general practice. Participants were recruited in 14 general practices in the greater Munich area. Data collection was questionnaire based with a 12 months follow-up. Descriptive statistics, multivariable regression and bivariate correlations were used for analysis.

RESULTS

A total of n = 204 cases infected up to 42 months ago (n = 141 Omicron, n = 63 earlier variants), and n = 119 controls were included. Disease symptoms were substantially more prevalent in cases (55-79% vs. 43% within one year of infection). This difference also appeared in the multivariable analysis adjusting for socio-demographics and psychosomatic comorbidity with odds ratios (OR) of 4.15 (p < 0.001) and 3.51 (p = 0.054) for the cohorts with Omicron or earlier variants infection (vs. controls), respectively. It was persistent with earlier variants (OR 1.00 per month, p = 0.903), while a decreasing trend was observed for Omicron (OR 0.89 per month, p < 0.001). DLI was especially correlated with fatigue (r = 0.628).

CONCLUSION

DLI, psychosomatic comorbidity and independently increased disease symptoms require holistic treatment of the patient in general practice according to the bio-psycho-social model. A key role in restoring the daily life capability may be attributed to the symptom fatigue.

Cardiopulmonary Exercise Testing in Children With Long COVID: A Case-controlled Study

BACKGROUND

Cardiopulmonary exercise testing (CPET) is a noninvasive and nonexpensive diagnostic tool, that provides a comprehensive evaluation of the pulmonary, cardiovascular, and skeletal muscle systems' integrated reactions to exercise. CPET has been extensively used in adults with Long COVID (LC), while the evidence about its role in children with this condition is scarce.

METHODS

Prospective, case-controlled observational study. Children with LC and a control group of healthy children underwent CPET. CPET findings were compared within the 2 groups, and within the LC groups according to main clusters of persisting symptoms.

RESULTS

Sixty-one children with LC and 29 healthy controls were included. Overall, 90.2% of LC patients (55 of 61) had a pathologic test vs 10.3% (3/29) of the healthy control. Children with LC presented a statistically significant higher probability of having abnormal values of peak VO2 ( P = 0.001), AT% pred ( P <0.001), VO2/HR % ( P = 0.03), VO2 work slope ( P = 0.002), VE/VCO2 slope ( P = 0.01). The mean VO2 peak was 30.17 (±6.85) in LC and 34.37 (±6.55) in healthy patients ( P = 0.007).

CONCLUSIONS

Compared with healthy controls, children with LC have objective impaired functional capacity (expressed by a low VO2 peak), signs of deconditioning and cardiogenic inefficiency when assessed with CPET. As such, CPET should be routinely used in clinical practice to objectify and phenotype the functional limitations of children with LC, and to follow-up them.

Unraveling the enigma of long COVID: novel aspects in pathogenesis, diagnosis, and treatment protocols

Long COVID, now unmistakably identified as a syndromic entity encompassing a complex spectrum of symptoms, demands immediate resolution of its elusive pathogenic underpinnings. The intricate interplay of diverse factors presents a complex puzzle, difficult to resolve, and thus poses a substantial challenge. As instances of long COVID manifest by repeated infections of SARS-CoV-2 and genetic predisposition, a detailed understanding in this regard is needed. This endeavor is a comprehensive exploration and analysis of the cascading pathogenetic events driven by viral persistence and replication. Beyond its morbidity, long COVID, more disabling than fatal, exacts one of the most substantial tolls on public health in contemporary times, with the potential to cripple national economies. The paper introduces a unified theory of long COVID, detailing a novel pathophysiological framework that interlinks persistent SARS-CoV-2 infection, autoimmunity, and systemic vascular pathology. We posit a model where viral reservoirs, immune dysregulation, and genetic predispositions converge to perpetuate disease. It challenges prevailing hypotheses with new evidence, suggesting innovative diagnostic and therapeutic approaches. The paper aims to shift the paradigm in long COVID research by providing an integrative perspective that encapsulates the multifaceted nature of the condition. We explain the immunological mechanisms, hypercoagulability states, and viral reservoirs in the skull that feed NeuroCOVID in patients with long COVID. Also, this study hints toward a patient approach and how to prioritize treatment sequences in long COVID patients in hospitals and clinics.

The association between intolerance of uncertainty and depressive symptoms during COVID-19 in New York, USA

BACKGROUND

Coronavirus Disease 2019 (COVID-19), a highly contagious respiratory illnesses, has globally impacted mental health. This study aims to investigate the association between intolerance of uncertainty and depressive symptoms during the pandemic in New York, USA, considering COVID-19-related worries as modifiers and mediators.

METHOD

1227 participants from three ongoing cohort studies, originally centered on trauma-exposed children and adolescents, provided data via questionnaires and telephone interviews across three waves. We used multivariable logistic and linear regression models to investigate the intolerance of uncertainty-depressive symptoms relationship, while adjusting for potential confounders and assessing the modification and mediation effects of Covid-19 related worries.

RESULTS

Depressive symptoms prevalence was 18 %, 12 %, and 9 % at waves 0, 1, and 2 respectively. Strong positive associations were observed between intolerance of uncertainty above the median and depressive symptoms which remained significant after adjusting for potential confounders. Odds ratios were 2.14 (95 % CI: 1.54-2.99) and 4.50 (95 % CI: 2.67-7.93) for intolerance of uncertainty-depressive symptoms association at wave 0 and 1 respectively, and 3.22 (95 % CI: 1.68-6.63) for intolerance of uncertainty at wave 1 and depressive symptoms at wave 2. There was evidence of partial mediation by worries (12-37 %), but no evidence of a moderating effect.

LIMITATION

It includes study's methodology, including self-report measures, remote data collection, and uncontrolled variables like anxiety and COVID-19 perspectives.

CONCLUSION

The findings emphasize the importance of evidence-based strategies for tackling intolerance of uncertainty during pandemics, particularly in managing long COVID. Collaborative efforts between policymakers and clinicians are essential in this endeavor.

A pilot randomized controlled trial of a telemedicine psychosocial intervention to improve symptom management in adults with long COVID: the COPE study protocol

BACKGROUND

Long COVID is a serious public health concern due to its high prevalence and potentially debilitating symptoms. Symptoms may include fatigue, dyspnea, cognitive problems, insomnia, anxiety, and depression. There is currently no cure for long COVID, and the average length of recovery and proportion of patients who fully recover are still unknown. Subsequently, there is a critical need to improve function. Research in other chronic conditions suggests that psychosocial self-management interventions reduce symptom severity and interference with functioning. We describe the design of our study to examine the feasibility, acceptability, appropriateness, and preliminary efficacy of an intervention designed to improve symptom management and coping in adults with long COVID.

METHODS

This pilot trial (N = 50) uses a pragmatic, randomized two-group parallel design set within the University of Washington Post-COVID Rehabilitation and Recovery Clinic. The self-management intervention is a 6-week, group-based telemedicine intervention that teaches evidence-based strategies to manage common symptoms and improve stress management as well as communication and self-advocacy. The comparator is a wait-list control. Participants complete self-report measures of the primary and secondary outcomes at baseline and post-treatment/wait-list. Primary outcomes include intervention feasibility, acceptability, and appropriateness. Secondary outcomes include Patient-Reported Outcomes Measurement Information System measures of fatigue, sleep disturbance, cognitive difficulties, self-efficacy, pain interference, depression and anxiety symptoms, and a measure of long COVID symptoms and impression of change. At post-intervention, intervention participants also complete a qualitative interview to inform intervention refinement. Quantitative data will be examined using descriptive and statistical analysis including t-tests and chi-square tests to compare the intervention and wait-list groups on secondary outcomes. Qualitative data will be analyzed using the rigorous and accelerated data reduction technique (RADaR).

DISCUSSION

Results of this pilot randomized controlled trial will characterize the feasibility, acceptability, and appropriateness of the self-management intervention and inform intervention refinement necessary prior to further testing. Long COVID is a public health concern, and rehabilitation approaches that equip patients to manage symptoms may improve patient function and quality of life and reduce burden on the health care system.

TRIAL REGISTRATION

NCT05658536. December 16, 2022.

Prognosis of patients with post-Covid-19 condition: Prospective cohort cluster analysis at one year

OBJECTIVE

We aimed to identify clinically relevant clusters among patients with post-Covid-19 condition (PCC) and assess prognosis overall and within clusters.

METHODS

Prospective cohort study of patients with PCC attending a rehabilitation clinic. We monitored patient reported outcome measures (PROMs): EuroHIS quality of life and symptoms. Unsupervised hierarchical cluster analyses were performed to identify clusters of patients with different quantity of symptoms, and symptoms presenting together. Preliminary findings on symptom prevalence and quality of life at 12 months are reported.

RESULTS

Among 409 patients, 70.4% were women, with an average baseline of 20.3 (SD 6.8) symptoms. Three clusters emerged based on symptom quantity, labelled by the average number of symptoms at baseline: Cluster-11 (17% of all patients), Cluster-17 (35%), and Cluster-25 (48%). Multinomial logistic regression showed female sex, multiple comorbidities predicting more symptoms. Four symptom-based clusters were defined: fatigue and cognitive complaints; pain, trouble sleeping, palpitations and other symptoms; gastrointestinal symptoms; and emotion-related symptoms. Linear regression models showed that female sex, multiple comorbidities, anxiety, use of antidepressants, BMI and smoking were among the determinants of symptom clusters. In 12-month follow-up, symptom count decreased, and quality of life improved across all clusters, with 9% having good quality of life at baseline and 33% at 12 months.

CONCLUSION

Four patient clusters based on symptoms were identified in the PCC cohort. Prognosis was favorable across all clusters, with symptom reduction and improved quality of life observed. Female sex, comorbidities, BMI, and mental-health related variables predicted higher symptom burden, suggesting multifactorial origins of PCC.

Cardiopulmonary rehabilitation's influence on cognitive functions, psychological state, and sleep quality in long COVID-19 patients: A randomized controlled trial

CLINICALTRIALS.GOV

NCT05035628.Trial registration: ClinicalTrials.gov identifier: NCT05035628..

Cognitive-behavioral therapy for patients with post-COVID-19 condition (CBT-PCC): a feasibility trial

BACKGROUND

The post-COVID-19 condition describes the persistence or onset of somatic symptoms (e.g. fatigue) after acute COVID-19. Based on an existing cognitive-behavioral treatment protocol, we developed a specialized group intervention for individuals with post-COVID-19 condition. The present study examines the feasibility, acceptance, and effectiveness of the program for inpatients in a neurological rehabilitation setting.

METHODS

The treatment program comprises eight sessions and includes psychoeducational and experience-based interventions on common psychophysiological mechanisms of persistent somatic symptoms. A feasibility trial was conducted using a one-group design in a naturalistic setting. N = 64 inpatients with a history of mild COVID-19 that fulfilled WHO criteria for post-COVID-19 condition were enrolled. After each session, evaluation forms were completed and psychometric questionnaires on somatic and psychopathological symptom burden were collected pre- and post-intervention.

RESULTS

The treatment program was well received by participants and therapists. Each session was rated as comprehensible and overall satisfaction with the sessions was high. Pre-post effect sizes (of standard rehabilitation incl. new treatment program; intention-to-treat) showed significantly reduced subjective fatigue (p < 0.05, dav = 0.33) and improved disease coping (ps < 0.05, dav = 0.33-0.49).

CONCLUSIONS

Our results support the feasibility and acceptance of the newly developed cognitive-behavioral group intervention for individuals with post-COVID-19 condition. Yet, findings have to be interpreted cautiously due to the lack of a control group and follow-up measurement, the small sample size, and a relatively high drop-out rate.

Psychological burden associated with incident persistent symptoms and their evolution during the COVID-19 pandemic: a prospective population-based study

BACKGROUND

Identifying factors that predict the course of persistent symptoms that occurred during the COVID-19 pandemic is a public health issue. Modifiable factors could be targeted in therapeutic interventions.

OBJECTIVE

This prospective study based on the population-based CONSTANCES cohort examined whether the psychological burden associated with incident persistent symptoms (ie, that first occurred from March 2020) would predict having ≥1 persistent symptom 6-10 months later.

METHODS

A total of 8424 participants (mean age=54.6 years (SD=12.6), 57.2% women) having ≥1 incident persistent symptom at baseline (ie, between December 2020 and February 2021) were included. The psychological burden associated with these persistent symptoms was assessed with the Somatic Symptom Disorder-B Criteria Scale (SSD-12). The outcome was having ≥1 persistent symptom at follow-up. Adjusted binary logistic regression models examined the association between the SSD-12 score and the outcome.

FINDINGS

At follow-up, 1124 participants (13.3%) still had ≥1 persistent symptom. The SSD-12 score at baseline was associated with persistent symptoms at follow-up in both participants with (OR (95% CI) for one IQR increase: 1.42 (1.09 to 1.84)) and without SARS-CoV-2 infection prior to baseline (1.39 (1.25 to 1.55)). Female gender, older age, poorer self-rated health and infection prior to baseline were also associated with persistent symptoms at follow-up.

CONCLUSIONS

The psychological burden associated with persistent symptoms at baseline predicted the presence of ≥1 persistent symptom at follow-up regardless of infection prior to baseline.

CLINICAL IMPLICATIONS

Intervention studies should test whether reducing the psychological burden associated with persistent symptoms could improve the course of these symptoms.

Addressing psychosocial needs in patients with Long-COVID (PsyLoCo-Study): study protocol of a pilot-study of a specialized modular intervention

Introduction

After an acute infection with the corona virus 10-20% of those affected suffer from ongoing or new symptoms. A causal therapy for the phenomenon known as Long/Post-COVID is still lacking and specific therapies addressing psychosocial needs of these patients are imperatively needed. The aim of the PsyLoCo-study is developing and piloting a psychotherapeutic manual, which addresses Long/Post-COVID-related psychosocial needs and supports in coping with persistent bodily symptoms as well as depressive or anxiety symptoms.

Methods and analysis

This pilot trial implements a multi-centre, 2-arm (N=120; allocation ratio: 1:1), parallel group, randomised controlled design. The pilot trial is designed to test the feasibility and estimate the effect of 1) a 12-session psychotherapeutic intervention compared to 2) a wait-list control condition on psychosocial needs as well as bodily and affective symptoms in patients suffering from Long/Post-COVID. The intervention uses an integrative, manualized, psychotherapeutic approach. The primary study outcome is health-related quality of life. Outcome variables will be assessed at three timepoints, pre-intervention (t1), post-intervention (t2) and three months after completed intervention (t3). To determine the primary outcome, changes from t1 to t2 are examined. The analysis will be used for the planning of the RCT to test the efficacy of the developed intervention.

Discussion

The pilot study will evaluate a 12-session treatment manual for Long/Post-COVID sufferers and the therapy components it contains. The analysis will provide insights into the extent to which psychotherapeutic treatment approaches improve the symptoms of Long/Post-COVID sufferers. The treatment manual is designed to be carried out by psychotherapists as well as people with basic training in psychotherapeutic techniques. This approach was chosen to enable a larger number of practitioners to provide therapeutic support for Long/Post-COVID patients. After completion of the pilot study, it is planned to follow up with a randomized controlled study and to develop a treatment guideline for general practitioners and interested specialists.

Trial registration

The pilot trial has been registered with the German Clinical Trials Register (Deutsches Register Klinischer Studien; Trial-ID: DRKS00030866; URL: https://drks.de/search/de/trial/DRKS00030866) on March 7, 2023.

The knowns and unknowns of long COVID-19: from mechanisms to therapeutical approaches

The coronavirus disease 2019 (COVID-19) pandemic caused by SARS-CoV-2 has been defined as the greatest global health and socioeconomic crisis of modern times. While most people recover after being infected with the virus, a significant proportion of them continue to experience health issues weeks, months and even years after acute infection with SARS-CoV-2. This persistence of clinical symptoms in infected individuals for at least three months after the onset of the disease or the emergence of new symptoms lasting more than two months, without any other explanation and alternative diagnosis have been named long COVID, long-haul COVID, post-COVID-19 conditions, chronic COVID, or post-acute sequelae of SARS-CoV-2 (PASC). Long COVID has been characterized as a constellation of symptoms and disorders that vary widely in their manifestations. Further, the mechanisms underlying long COVID are not fully understood, which hamper efficient treatment options. This review describes predictors and the most common symptoms related to long COVID's effects on the central and peripheral nervous system and other organs and tissues. Furthermore, the transcriptional markers, molecular signaling pathways and risk factors for long COVID, such as sex, age, pre-existing condition, hospitalization during acute phase of COVID-19, vaccination, and lifestyle are presented. Finally, recommendations for patient rehabilitation and disease management, as well as alternative therapeutical approaches to long COVID sequelae are discussed. Understanding the complexity of this disease, its symptoms across multiple organ systems and overlapping pathologies and its possible mechanisms are paramount in developing diagnostic tools and treatments.

The moderated-mediation role of risk perception and intolerance of uncertainty in the association between residual symptoms and psychological distress: a cross-sectional study after COVID-19 policy lifted in China

BACKGROUND

A considerable number of individuals infected with COVID-19 experience residual symptoms after the acute phase. However, the correlation between residual symptoms and psychological distress and underlying mechanisms are scarcely studied. We aim to explore the association between residual symptoms of COVID-19 and psychological distress, specifically depression, anxiety, and fear of COVID-19, and examine the role of risk perception and intolerance of uncertainty in the association.

METHODS

A cross-sectional survey was conducted by online questionnaire-based approach in mid-January 2023. Self-reported demographic characteristics, COVID-19-related information, and residual symptoms were collected. Depression, anxiety, fear, risk perception and intolerance of uncertainty were evaluated using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Fear of COVID-19 Scale (FCV-19S), COVID-19 Risk Perception Scale and Intolerance of Uncertainty Scale-12 (IUS-12), respectively. Linear regression analyses were conducted to explore the associations. A moderated mediation model was then constructed to examine the role of risk perception of COVID-19 and intolerance of uncertainty in the association between residual symptoms and psychological distress.

RESULTS

1735 participants effectively completed the survey. 34.9% of the patients experienced residual symptoms after acute phase of COVID-19. Psychological distress was markedly increased by COVID-19 infection, while residual symptoms had a significant impact on psychological distress (Ps < 0.001), including depression (β = 0.23), anxiety (β = 0.21), and fear of COVID-19 (β = 0.14). Risk perception served as a mediator between residual symptoms and all forms of psychological distress, while intolerance of uncertainty moderated the effect of risk perception on depression and anxiety.

CONCLUSION

A considerable proportion of patients experience residual symptoms after acute phase of COVID-19, which have a significant impact on psychological distress. Risk perception and intolerance of uncertainty play a moderated-mediation role in the association between residual symptoms and depression/anxiety. It highly suggests that effective treatment for residual symptoms, maintaining appropriate risk perception and improving intolerance of uncertainty are critical strategies to alleviate COVID-19 infection-associated psychological distress.

Long-COVID in children: An exploratory case-control study from a bio-psycho-social perspective

OBJECTIVE

This study aimed to determine psychosocial differences between children with Long-COVID Syndrome (LCS) and two control groups (i.e., children who did not have COVID-19 and children who had previously had COVID-19 but did not develop LCS) from a bio-psycho-social and psychosomatic perspective. To classify children in these three groups, we examined the percentage of children meeting criteria for LCS, the type, frequency, perceived severity of symptoms, and their prevalence compared with children who never had SARS-CoV-2 infection.

METHODS

Data were collected from 198 Italian mothers of children aged 4 to 13 years using a cross-sectional web-based case-control survey. Of these, 105 were mothers of children who had contracted SARS-CoV-2 and 94 were mothers of children who had previously had COVID-19. Information was collected on the type and frequency of symptoms commonly referred to as "Long-COVID symptoms" and psychosocial dimensions (i.e., maternal and child health anxiety, COVID-19 anxiety, adjustment, and child deprivation). Descriptive analyses, chi-square tests, Student's T-Test, and analyses of variance were performed.

RESULTS

29 children (15% of the total sample) developed LCS, mostly in the neurological/neuropsychiatric domain (59%), and of mild intensity. Regarding psychosocial and psychological dimensions, maternal health anxiety, child deprivation, and fear of SARS-CoV-2 infection differed between groups, with the first two dimensions higher in children with LCS than in controls and the latter lower in children with LCS than in controls.

CONCLUSION

This study sheds light on the need of integrating a psychosocial approach into the medical care of children with LCS and their caregivers.

Somatic Symptom Disorder-B criteria scale (SSD-12): Psychometric properties of the French version and associations with health outcomes in a population-based cross-sectional study

OBJECTIVE

The 12-item Somatic Symptom Disorder-B Criteria Scale (SSD-12) is a self-reported questionnaire designed to assess the B criteria of the DSM-5 somatic symptom disorder. In this cross-sectional study, we aimed to examine the psychometric properties of the SSD-12 French version and associated health outcomes.

METHODS

Participants were volunteers from the population-based CONSTANCES cohort who reported at least one new symptom that occurred between March 2020 and January 2021. Depressive symptoms were measured with the Center for Epidemiologic Studies-Depression scale (CES-D).

RESULTS

A total of 18,796 participants completed the SSD-12. The scree plot was consistent with a 1-factor structure, while goodness-of-fit indices of the confirmatory factorial analyses and clinical interpretability were consistent with a 3-factor structure (excluding the item 7): 'Perceived severity', 'Perceived impairment', 'Negative expectations'. The Cronbach's α coefficients of the total and factors scores were 0.90, 0.88, 0.84 and 0.877, respectively. The total score was associated with depressive symptoms (Spearmann's rho: 0.32), self-rated health (-0.46), the number of persistent symptoms (0.32), and seeking medical consultation (odds ratio [95% confidence interval] for one interquartile range increase: 1.51 [1.48-1.54]). Among participants seeking medical consultation, those with higher SSD-12 scores were more likely to have their symptoms attributed to "stress/anxiety/depression" (1.32 [1.22-1.43]) and "psychosomatic origin" (1.25 [1.20-1.29]), and less to "COVID-19" (0.89 [0.85-0.93]).

CONCLUSION

While the SSD-12 French version can be used as a unidimensional tool, it also has a 3-factor structure, somewhat different from the DSM-5 theoretical structure, with high internal consistency and clinically meaningful associations with other health outcomes.

Complex association between post-COVID-19 condition and anxiety and depression symptoms

BACKGROUND

To assess the associations between anxiety and depressive symptoms and post-COVID-19 condition (PCC) by exploring the direction of these associations and their relevance in the definition of PCC.

METHODS

Nationwide survey among French adults, recruited between March and April, 2022, using a quota method to capture a representative sample of the general population with regard to sex, age, socioeconomic status, size of the place of residence, and region. We included all participants who met the World Health Organization (WHO) definition of PCC in addition to a random sample of participants infected with SARS-COV-2 for at least 3 months but without PCC. Self-reported anxiety and depressive symptoms, chronic anxiety and depression (for more than 3 years), and anxiety and depression were measured using the GAD-2 and PHQ-2 questionnaires, respectively.

RESULTS

In a sample of 1,095 participants with PCC and 1,021 participants infected with SARS-COV-2 without PCC, 21% had self-reported anxiety and 18% self-reported depression, whereas 33% and 20% had current measured symptoms of anxiety and depression, respectively. The high prevalence of these symptoms cannot only be explained by the characterization of PCC, as only 13.4% of anxiety symptoms and 7.6% of depressive symptoms met the WHO criteria for PCC. Only one participant met the WHO criteria based on self-reported anxiety or depressive symptoms alone, as these were always combined with other symptoms in patients with PCC. Chronic symptoms were associated with PCC (aOR 1.27; 95% CI: 1.00-1.61). In addition, measured anxiety was associated with PCC (aOR = 1.29; 95% CI: 1.02-1.62).

CONCLUSIONS

Pre-COVID-19 chronic anxiety and depression may play a role in the development of PCC or share vulnerability factors with it. Our results challenge the inclusion of anxiety and depression in the definition of PCC.

Attention deficits and depressive symptoms improve differentially after rehabilitation of post-COVID condition - A prospective cohort study

BACKGROUND

Depressive and cognitive symptoms like fatigue, loss of energy or sleep disorders characterise the post-COVID condition. Post-COVID psychosomatic rehabilitation should focus on both symptom groups. The current prospective cohort study addresses the change in these symptoms in the context of a psychosomatic rehabilitation.

METHOD

N = 80 patients with post-COVID symptoms underwent psychological testing on admission and discharge: PHQ-9 questionnaire for depression, TAP - test battery for the attention test with the sub-tests working memory, sustained attention, divided attention and alertness. Sample characteristics, including health-related and work-related parameters, the general symptom load and the course of symptoms during the five weeks of rehabilitation were evaluated.

RESULTS

On admission, the PHQ-9 indicated the presence of depressive symptoms in post-COVID patients (PHQ-9 = 15.15 ± 5.11). Over the course of rehabilitation, the depressive symptoms decreased to a sub-clinical level (PHQ-9 = 8.80 ± 4.61), suggesting a strong effect of post-COVID inpatient rehabilitation (Cohen's d = 1.57). At the same time, post-COVID patients showed clinically relevant impairments in attention and working memory that persisted throughout the rehabilitation period despite multimodal post-COVID treatment.

CONCLUSION

Over the course of post-COVID rehabilitation, depressive symptoms appear to be significantly reduced. With regard to cognitive impairment, a comparable effect within the short period of 5 weeks is not evident. Our results suggest the need for specific treatment of persistent neuropsychological deficits following post-COVID rehabilitation.

Post-COVID and ME/CFS - DoWe Need New Disease Theories?

Background and Research Question: The SARS-CoV-2 pandemic often resulted in prolonged illness courses. A particular challenge today lies in the clinical presentation resembling that of Myalgic Encephalitis/Chronic Fatigue Syndrome (ME/CFS). Method: We review selected literature concerning the psychosocial factors influencing chronic courses characterized primarily by fatigue. Additionally, we explore the neurobiologically grounded theory of "Predictive Coding" as a possible explanatory framework for complex somato- psychic interactions. Results: Physical findings only partially account for the dynamics and progression of chronic fatigue syndromes, necessitating more intricate disease models that incorporate aspects of bodily perception. Conclusions: Incorporating these newer theories of perception and behavior could provide a more helpful perspective on phenomena such as fatigue, leading to improved therapeutic support measures, all without contributing to premature attributions of "psychological" causes and the associated risk of stigmatization.

Patients with persistent symptoms after COVID-19 attending a multidisciplinary evaluation: Characteristics, medical conclusions, and satisfaction

OBJECTIVE

Among patients attending a multidisciplinary day-hospital program for persistent symptoms after COVID-19, we aimed i) to describe their characteristics ii) to present the medical conclusions (diagnoses and recommendations) and iii) to assess the patients' satisfaction and its correlates.

METHODS

For this retrospective chart review study, frequent symptoms were systematically assessed. Standardized questionnaires explored fatigue (Pichot scale), physical activity (Ricci & Gagnon scale), health-related quality of life (Short-Form Health Survey), anxiety and depressive symptoms (Hospital Anxiety and Depression scale) and associated psychological burden (Somatic-Symptom-Disorder B criteria Scale). Medical record conclusions were collected and a satisfaction survey was performed at 3-months follow-up.

RESULTS

Among 286 consecutive patients (median age: 44 years; 70% women), the most frequent symptoms were fatigue (86%), breathlessness (65%), joint/muscular pain (61%) and cognitive dysfunction (58%), with a median duration of 429 days (Inter-quartile range (IqR): 216-624). Questionnaires revealed low levels of physical activity and quality of life, and high levels of fatigue, anxiety, depression, and psychological burden, with 32% and 23% meeting the diagnostic criteria for a depressive or anxiety disorder, respectively. Positive arguments for a functional somatic disorder were found in 76% of patients, including 96% with no abnormal clinical or test findings that may explain the symptoms. Physical activity rehabilitation was recommended for 91% of patients. Patients' median satisfaction was 8/10 (IqR: 6-9).

CONCLUSION

Most patients attending this program presented with long-lasting symptoms and severe quality of life impairment, received a diagnosis of functional somatic disorder, and reported high levels of satisfaction regarding the program.

The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID

There have been hundreds of millions of cases of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With the growing population of recovered patients, it is crucial to understand the long-term consequences of the disease and management strategies. Although COVID-19 was initially considered an acute respiratory illness, recent evidence suggests that manifestations including but not limited to those of the cardiovascular, respiratory, neuropsychiatric, gastrointestinal, reproductive, and musculoskeletal systems may persist long after the acute phase. These persistent manifestations, also referred to as long COVID, could impact all patients with COVID-19 across the full spectrum of illness severity. Herein, we comprehensively review the current literature on long COVID, highlighting its epidemiological understanding, the impact of vaccinations, organ-specific sequelae, pathophysiological mechanisms, and multidisciplinary management strategies. In addition, the impact of psychological and psychosomatic factors is also underscored. Despite these crucial findings on long COVID, the current diagnostic and therapeutic strategies based on previous experience and pilot studies remain inadequate, and well-designed clinical trials should be prioritized to validate existing hypotheses. Thus, we propose the primary challenges concerning biological knowledge gaps and efficient remedies as well as discuss the corresponding recommendations.

Depression and anxiety before and at the beginning of the COVID-19 pandemic and incident persistent symptoms: a prospective population-based cohort study

Many patients affected by COVID-19 suffer from debilitating persistent symptoms whose risk factors remained poorly understood. This prospective study examined the association of depression and anxiety symptoms measured before and at the beginning of the COVID-19 pandemic with the incidence of persistent symptoms. Among 25,114 participants [mean (SD) age, 48.72 years (12.82); 51.1% women] from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort, depression and anxiety symptoms were measured with the Center for Epidemiologic Studies-Depression scale and the 12-item General Health Questionnaire before the pandemic, and with the 9-item Patient Health Questionnaire and the 7-Item Generalized Anxiety Disorder scale at the beginning of the pandemic (i.e., between April 6, 2020 and May 4, 2020). Incident persistent symptoms were self-reported between December 2020 and January 2021. The following variables were also considered: gender, age, educational level, household income, smoking status, BMI, hypertension, diabetes, self-rated health, and SARS-CoV-2 infection according to serology/PCR test results. After a follow-up of seven to ten months, 2329 participants (9.3%) had been infected with SARS-CoV-2 and 4262 (17.0%) reported at least one incident persistent symptom that emerged from March 2020, regardless of SARS-CoV-2 infection. In multi-adjusted logistic regression models, participants in the highest (versus the lowest) quartile of depressive or anxiety symptom levels before or at the beginning of the pandemic were more likely to have at least one incident persistent symptom (versus none) at follow-up [OR (95%CI) ranging from 2.10 (1.89-2.32) to 3.01 (2.68-3.37)], with dose-response relationships (p for linear trend <0.001). Overall, these associations were significantly stronger in non-infected versus infected participants, except for depressive symptoms at the beginning of the pandemic. Depressive symptoms at the beginning of the pandemic were the strongest predictor of incident persistent symptoms in both infected and non-infected participants [OR (95%CI): 2.88 (2.01-4.14) and 3.03 (2.69-3.42), respectively]. In exploratory analyses, similar associations were found for each symptom taken separately in different models. Depression and anxiety symptoms should be tested as a potential target for preventive interventions against persistent symptoms after an infection with SARS-CoV-2.

Reported neurological symptoms after severe acute respiratory syndrome coronavirus type 2 infection: A systematic diagnostic approach

BACKGROUND AND PURPOSE

Following increasing demands of patients with suspected neurological symptoms after infection with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), the Department of Neurology at the Medical University of Vienna established a new outpatient clinic to systematically assess, diagnose, and document neurological complaints potentially associated with a prior SARS-CoV-2 infection.

METHODS

The data presented here include prospectively collected 156 outpatients from May 2021 to April 2022. Patients underwent semistandardized interviewing about symptoms with reported onset after SARS-CoV-2 infection, neurological examination, and comprehensive diagnostic workup.

RESULTS

Reported new onset symptoms after infection included fatigue (77.6%), subjective cognitive impairment (72.4%), headache (47.7%), loss of smell and/or taste (43.2%), and sleep disturbances (42.2%). Most patients had a mild coronavirus disease (COVID-19) disease course (84%) and reported comorbidities (71%), of which the most frequent were psychiatric disorders (34%). Frequency of symptoms was not associated with age, sex, or severity of COVID-19 course. A comprehensive diagnostic workup revealed no neurological abnormalities in the clinical examination, or electrophysiological or imaging assessments in the majority of patients (n = 143, 91.7%). Neuropsychological assessment of a subgroup of patients (n = 28, 17.9%) showed that cognitive impairments in executive functions and attention, anxiety, depression, and somatization symptoms were highly common.

CONCLUSIONS

In this systematic registry, we identified fatigue, cognitive impairment, and headache as the most frequently reported persisting complaints after SARS-CoV-2 infection. Structural neurological findings were rare. We also suspect a link between the growing burden of the COVID-19 pandemic on personal lives and the increase in reported neurological and psychiatric complaints.

Factors associated with mental health outcomes after COVID-19: A 24-month follow-up longitudinal study

OBJECTIVE

Investigate the proportion of mental health outcomes (MHOs) and associated factors in COVID-19 survivors during a 24-month follow-up period.

METHOD

An observational, prospective study was performed in a teaching hospital in Barranquilla, Colombia, from April 1, 2020, to August 30, 2022. A cohort of 1565 COVID-19 survivors was recruited after discharge from the emergency room (ER), inpatient floor (IF), and intensive care unit (ICU) services and followed for 24 -months. The clinical assessment included screening scales for symptoms of anxiety, depressive, post-traumatic stress disorder (PTSD), and insomnia. Sociodemographic and clinical factors were also collected to identify possible associated factors. Descriptive, bivariate and mixed random-effect linear models were performed.

RESULTS

A total of 1565 patients were included, of whom 785 (50.35%) were men. A large proportion of patients with mental symptoms were identified. After 24-months, the proportions of anxiety, depression, PTSD, and insomnia symptoms remained high at 16.55%, 21.79%, 35.27%, and 23.86%, respectively. Social factors, location of hospital stays, physical comorbidities, and the severity of COVID-19 were significantly associated with anxiety, depression, PTSD, and insomnia symptoms.

CONCLUSIONS

COVID-19's 2-year deleterious impacts on mental health, as well as the variables influencing these findings, have been documented. These results should aid in the development of public health initiatives to reduce morbidity rates in post-COVID-19 patients.

Plasmapheresis to remove amyloid fibrin(ogen) particles for treating the post-COVID-19 condition

BACKGROUND

The post-COVID-19 condition (PCC) consists of a wide array of symptoms including fatigue and impaired daily living. People seek a wide variety of approaches to help them recover. A new belief, arising from a few laboratory studies, is that 'microclots' cause the symptoms of PCC. This belief has been extended outside these studies, suggesting that to recover people need plasmapheresis (an expensive process where blood is filtered outside the body). We appraised the laboratory studies, and it was clear that the term 'microclots' is incorrect to describe the phenomenon being described. The particles are amyloid and include fibrin(ogen); amyloid is not a part of a thrombus which is a mix of fibrin mesh and platelets. Initial acute COVID-19 infection is associated with clotting abnormalities; this review concerns amyloid fibrin(ogen) particles in PCC only. We have reported here our appraisal of laboratory studies investigating the presence of amyloid fibrin(ogen) particles in PCC, and of evidence that plasmapheresis may be an effective therapy to remove amyloid fibrin(ogen) particles for treating PCC.

OBJECTIVES

Laboratory studies review To summarize and appraise the research reports on amyloid fibrin(ogen) particles related to PCC. Randomized controlled trials review To assess the evidence of the safety and efficacy of plasmapheresis to remove amyloid fibrin(ogen) particles in individuals with PCC from randomized controlled trials.

SEARCH METHODS

Laboratory studies review We searched for all relevant laboratory studies up to 27 October 2022 using a comprehensive search strategy which included the search terms 'COVID', 'amyloid', 'fibrin', 'fibrinogen'. Randomized controlled trials review We searched the following databases on 21 October 2022: Cochrane COVID-19 Study Register; MEDLINE (Ovid); Embase (Ovid); and BIOSIS Previews (Web of Science). We also searched the WHO International Clinical Trials Registry Platform and ClinicalTrials.gov for trials in progress.

SELECTION CRITERIA

Laboratory studies review Laboratory studies that investigate the presence of amyloid fibrin(ogen) particles in plasma samples from patients with PCC were eligible. This included studies with or without controls. Randomized controlled trials review Studies were eligible if they were of randomized controlled design and investigated the effectiveness or safety of plasmapheresis for removing amyloid fibrin(ogen) particles for treating PCC.

DATA COLLECTION AND ANALYSIS

Two review authors applied study inclusion criteria to identify eligible studies and extracted data. Laboratory studies review We assessed the risk of bias of included studies using pre-developed methods for laboratory studies. We planned to perform synthesis without meta-analysis (SWiM) as described in our protocol. Randomized controlled trials review We planned that if we identified any eligible studies, we would assess risk of bias and report results with 95% confidence intervals. The primary outcome was recovery, measured using the Post-COVID-19 Functional Status Scale (absence of symptoms related to the illness, ability to do usual daily activities, and a return to a previous state of health and mind).

MAIN RESULTS

Laboratory studies review We identified five laboratory studies. Amyloid fibrin(ogen) particles were identified in participants across all studies, including those with PCC, healthy individuals, and those with diabetes. The results of three studies were based on visual images of amyloid fibrin(ogen) particles, which did not quantify the amount or size of the particles identified. Formal risk of bias assessment showed concerns in how the studies were conducted and reported. This means the results were insufficient to support the belief that amyloid fibrin(ogen) particles are associated with PCC, or to determine whether there is a difference in the amount or size of amyloid fibrin(ogen) particles in the plasma of people with PCC compared to healthy controls. Randomized controlled trials review We identified no trials meeting our inclusion criteria.

AUTHORS' CONCLUSIONS

In the absence of reliable research showing that amyloid fibrin(ogen) particles contribute to the pathophysiology of PCC, there is no rationale for plasmapheresis to remove amyloid fibrin(ogen) particles in PCC. Plasmapheresis for this indication should not be used outside the context of a well-conducted randomized controlled trial.

[Role of psychological factors in post-COVID-19 condition]

Even after a mild episode of coronavirus disease 2019 (COVID-19), many patients suffer from persistent symptoms that can impair their quality of life for months. The potential role of psychological mechanisms in this post-COVID-19 condition, often referred to as long COVID, has been discussed early in the pandemic. Evidence supporting this hypothesis is now accumulating. First, a history of anxiety or depression is now an established risk factor for post-COVID-19 condition with a dose-response relationship and effect size similar to those of other known risk factors. This association extends to other forms of psychological distress, including perceived stress and loneliness. Second, specific beliefs about COVID-19 have been associated with the risk of subsequent similar symptoms, occurring weeks to several months later. Other studies, which have yet to be replicated, suggest an influence of the context of the initial infection (first versus second wave of the pandemic, before the emergence of significant variants and vaccination) and the trust in various sources of information about COVID-19 on the risk of subsequent symptoms. Bayesian models of perception can account for these results particularly well within a theoretical framework similar to that advanced for functional somatic disorders, integrating increased symptom expectations with decreased perception of the body internal state (interoception) and intolerance of uncertainty in the context of symptoms initially triggered by an infectious episode. These psychological mechanisms should obviously not be considered as exclusive. However, since they are modifiable, they could be targeted in clinical trials, within an integrative and multidisciplinary approach.

Association between somatic symptom disorder and symptoms with daily life impairment after SARS-CoV-2 infection - results from a population-based cross-sectional study

BACKGROUND

Post-COVID syndrome (PCS) is defined by symptom persistence accompanied by daily life impairment (DLI). The association of somatic symptom disorder (SSD) and symptoms with DLI after SARS-CoV-2 infection in the general population is unclear to date. The main objective of the study was to investigate the association of possible SSD, depression, anxiety, and participant-reported symptoms with DLI in a local population sample.

METHODS

Anonymised cross-sectional study. A symptom questionnaire, including the scales Patient Health Questionnaire PHQ-15 (somatisation module), SSD-12 (psychological distress in SSD), PHQ-2 (depression), GAD-2 (anxiety), and FAS (fatigue assessment scale) was sent in 02/2022 to all adult residents of the district Bad Tölz-Wolfratshausen, Germany, who were registered for SARS-CoV-2-infection between 03/2020 and 11/2021 (8925 delivered). Associations between DLI, symptoms and scales were estimated using binary logistic regression models and network analysis.

RESULTS

2828 questionnaires (31.7%) were complete. 1486 (52.5%) reported persistent symptoms, and 509 (18.0%) perceived DLI. DLI was strongest associated with self-reported fatigue (OR 7.86; 95%CI 5.63-10.97), dyspnea (3.93; 2.73-5.67), impaired concentration (3.05; 2.17-4.30), SSD-12 (4.36; 2.57-7.41), and PHQ-2 (2.48; 1.57-3.92). Self-reported fatigue showed the strongest correlation (rp = 0.248) and closest proximity to DLI in network analysis.

CONCLUSION

PCS appears as a complex clinical picture in which SSD might play an important role when DLI is present. The pychological burden might partly be explained by the persistent symptoms, which are difficult to treat up to now. Screening for SSD could help in differential diagnostic decision-making to ensure that patients receive appropriate psychosocial interventions for disease coping.

Trust in sources of information on COVID-19 at the beginning of the pandemic's first wave and incident persistent symptoms in the population-based CONSTANCES cohort: A prospective study

OBJECTIVE

To examine the association between trust in different sources of information on COVID-19 at the beginning of the pandemic and the burden of incident persistent symptoms.

METHODS

This prospective study used data from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort. Trust in different information sources was measured between April 6 and May 4, 2020. Persistent symptoms that emerged afterwards were self-reported between December 2020 and January 2021. The associated psychological burden was measured with the somatic symptom disorder B criteria scale (SSD-12). The analyses were adjusted for gender, age, education, income, self-rated health, SARS-CoV-2 serology tests, and self-reported COVID-19.

RESULTS

Among 20,985 participants [mean age (SD), 49.0 years (12.7); 50.2% women], those with higher trust in government/journalists at baseline had fewer incident persistent symptoms at follow-up (estimate (SE) for one IQR increase: -0.21 (0.03), p < 0.001). Participants with higher trust in government/journalists and medical doctors/scientists were less likely to have ≥1 symptom (odds ratio (95% confidence interval) for one IQR increase: 0.87 (0.82-0.91) and 0.91 (0.85-0.98), respectively). Among 3372 participants (16.1%) who reported ≥1 symptom, higher trust in government/journalists and medical doctors/scientists predicted lower SSD-12 scores (-0.39 (0.17), p = 0.02 and - 0.85 (0.24), p < 0.001, respectively), whereas higher trust in social media predicted higher scores in those with lower trust in government/journalists (0.90 (0.34), p = 0.008). These associations did not depend upon surrogate markers of infection with SARS-CoV-2.

CONCLUSIONS

Trust in information sources on COVID-19 may be associated with incident persistent symptoms and associated psychological burden, regardless of infection with SARS-CoV-2.