Long COVID prevalence and impact on quality of life 2 years after acute COVID-19

Mitigating fatigue in long COVID patients with MYPplus: a clinical observation

PURPOSE

The COVID-19 pandemic has led to the emergence of a secondary public health crisis known as Long COVID. It is estimated that approximately 10% of individuals who contact COVID-19 develop Long COVID, with fatigue and brain fog being among the most commonly reported and debilitating symptoms. However, no standardized or effective treatments are currently available. This observational study aimed to evaluate the efficacy of MYPplus, an herbal formulation composed of Astragali Radix, Salviae Radix, and Aquilariae Lignum, in alleviating fatigue and brain fog in patients with Long COVID.

METHODS

Subjects with a score of 60 or higher on the Modified Korean version of the Chalder Fatigue scale (mKCFQ11) or a brain fog rating of 5 or higher on the visual analogue scale (VAS) took two capsules of MYPplus (500 mg per capsule) twice daily for 4 weeks. Changes in symptoms were assessed using the mKCFQ11, Multidimensional Fatigue Inventory (MFI-20), Fatigue VAS, Brain fog VAS, and overall quality of life using the Short-Form Health Survey (SF-12). Additionally, levels of three cytokines (TNF-α, TGF-β, IFN- γ) and cortisol were measured.

RESULTS

Fifty participants successfully completed the 4-week administration with MYPplus. At baseline, fatigue severity was 75.3 ± 10.9 in mKCFQ11, 70.9 ± 11.2 in MFI-20, 7.5 ± 1.2 in Fatigue VAS, 8.4 ± 1.1 in Brain fog VAS, and 45.3 ± 17.8 in SF-12. All parameters significantly improved (p < 0.01), with a decrease of 46% in mKCFQ11, 26% in MFI-20, 49% in Fatigue VAS, and 52% in Brain fog VAS, and an increase of 59% in SF-12, respectively. Unlikely others, the plasma level of TGF-β showed a declining pattern after MYPplus administration (from 765.0 ± 1759.7 to 243.9 ± 708.1 pg/mL, p = 0.07). No safety concerns were observed.

CONCLUSION

This pilot observational study suggests the clinical potential of MYPplus for managing patients with Long COVID, focusing on fatigue-related symptoms and quality of life. Further studies are required to confirm its efficacy and safety using large-scale randomized placebo-controlled trials in the future.

PROTOCOL REGISTRATION

This study has been retrospectively registered with the identifier number KCT0008948 on https://cris.nih.go.kr , as of 27/10/23.

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).

Therapeutic Potential of Propolis Extract in Managing Hyperinflammation and Long COVID-19: A Bioinformatics Study

Hyperinflammation is a significant factor in long COVID, impacting over 65 million post-COVID-19 individuals globally. Herbal remedies, including propolis, show promise in reducing severity and pro-inflammatory cytokines. However, the natural pharmacological role of propolis in COVID-19 management remains underexplored. Employing network pharmacology and in silico techniques, we assessed propolis extract's potential in countering SARS-CoV-2-induced inflammation. We identified 80 flavonoids via LC-MS/MS QTOF and employed 11 anti-inflammatory drugs as references for inflammation target fishing. Utilizing in silico techniques encompassing target fishing, molecular docking, and dynamics, we examined propolis' effects. We identified 1105 gene targets connected to inflammation through multiple validated target predictors. By integrating SARS-CoV-2 DEGs from GSE147507 with these targets, we identify 25 inflammation-COVID-19-associated propolis targets, including STAT1, NOS2, CFB, EIF2K2, NPY5R, and BTK. Enrichment analyses highlighted primary pharmacological pathways related to Epstein-Barr virus infection and COVID-19. Molecular docking validated isokaempferide, iristectorigenin B, 3'-methoxypuerarin, cosmosiin, and baicalein-7-O-β-d-glucopyranoside, which exhibited strong binding affinity and stability with relevant genes. Moreover, our findings indicate that propolis ligands could potentially suppress reactivation of Epstein-Barr Virus infections in post-COVID-19 cases. However, this study has a limitation in that the concentration of each propolis compound has not been quantified. Therefore, further exploration of propolis compounds quantification and experimental validation are needed to support these findings.

[Psychosocial aspects of Long COVID - A psychotherapeutic treatment manual from the PsyLoCo project]

Long COVID describes long-term health sequelae after a SARS-CoV-2 infection. Despite various theoretical approaches, the pathogenesis of long COVID is not yet fully understood and the diagnostic criteria are vague. This makes the development of targeted, cause-specific therapies challenging. In addition to the symptoms, many patients suffer from various psychosocial burdens and a significantly reduced quality of life. In order to address this, psychosomatic or psychotherapeutic interventions should be used in addition to symptom-oriented treatment. Within the PsyLoCo project, a psychotherapeutic treatment manual was developed that is tailored to the specific needs of long COVID patients. In four modules, it addresses (1) coping and distress management, (2) physical complaints and pain, (3) chronic fatigue and affective symptoms and (4) social and working life. The manual was tested for feasibility and effectiveness in a multicentre, randomized controlled pilot study. The contents of this treatment manual are presented below.

Evidence on the associations and safety of COVID-19 vaccination and post COVID-19 condition: an updated living systematic review

Post COVID-19 condition (PCC) refers to persistent symptoms occurring ≥12 weeks after COVID-19. This living systematic review (SR) assessed the impact of vaccination on PCC and vaccine safety among those with PCC, and was previously published with data up to December 2022. Searches were updated to 31 January 2024 and standard SR methodology was followed. Seventy-eight observational studies were included (47 new). There is moderate confidence that two doses pre-infection reduces the odds of PCC (pooled OR (pOR) 0.69, 95% CI 0.64-0.74, I2 = 35.16%). There is low confidence for remaining outcomes of one dose and three or more doses. A booster dose may further reduce the odds of PCC compared to only a primary series (pOR 0.85, 95% CI 0.74-0.98, I2 = 16.85%). Among children ≤18 years old, vaccination may not reduce the odds (pOR 0.79, 95% CI 0.56-1.11, I2 = 37.2%) of PCC. One study suggests that vaccination within 12 weeks post-infection may reduce the odds of PCC. For those with PCC, vaccination appears safe (four studies) and may reduce the odds of PCC persistence (pOR 0.73, 95% CI 0.57-0.92, I2 = 15.5%).

Identifying risk factors and predicting long COVID in a Spanish cohort

Many studies have investigated symptoms, comorbidities, demographic factors, and vaccine effects in relation to long COVID (LC-19) across global populations. However, a number of these studies have shortcomings, such as inadequate LC-19 categorisation, lack of sex disaggregation, or a narrow focus on certain risk factors like symptoms or comorbidities alone. We address these gaps by investigating the demographic factors, comorbidities, and symptoms present during the acute phase of primary COVID-19 infection among patients with LC-19 and comparing them to typical non-Long COVID-19 patients. Additionally, we assess the impact of COVID-19 vaccination on these patients. Drawing on data from the Regional Health System of the Region of Murcia in southeastern Spain, our analysis includes comprehensive information from clinical and hospitalisation records, symptoms, and vaccination details of over 675126 patients across 10 hospitals. We calculated age and sex-adjusted odds ratios (AOR) to identify protective and risk factors for LC-19. Our findings reveal distinct symptomatology, comorbidity patterns, and demographic characteristics among patients with LC-19 versus those with typical non-Long COVID-19. Factors such as age, female sex (AOR = 1.39, adjusted p < 0.001), and symptoms like chest pain (AOR > 1.55, adjusted p < 0.001) or hyposmia (AOR > 1.5, adjusted p < 0.001) significantly increase the risk of developing LC-19. However, vaccination demonstrates a strong protective effect, with vaccinated individuals having a markedly lower risk (AOR = 0.10, adjusted p < 0.001), highlighting the importance of vaccination in reducing LC-19 susceptibility. Interestingly, symptoms and comorbidities show no significant differences when disaggregated by type of LC-19 patient. Vaccination before infection is the most important factor and notably decreases the likelihood of long COVID. Particularly, mRNA vaccines offer more protection against developing LC-19 than viral vector-based vaccines (AOR = 0.48). Additionally, we have developed a model to predict LC-19 that incorporates all studied risk factors, achieving a balanced accuracy of 73% and ROC-AUC of 0.80. This model is available as a free online LC-19 calculator, accessible at ( LC-19 Calculator ).

Association of LEF1-AS1 with cardiovascular and neurological complications of COVID-19

A significant proportion of COVID-19 patients develop long-term complications, particularly cardiovascular and neurological issues. Even though risk factors for developing complications after COVID-19 have been identified, a biomarker to predict these complications could enable personalized healthcare and potentially reduce the disease burden. Easily measurable in the blood, the long noncoding RNA LEF1-AS1 has recently been associated with in-hospital mortality following SARS-CoV - 2 infection and holds potential as a biomarker for disease severity in COVID-19 patients. Consequently, we examined LEF1-AS1's ability to predict cardiovascular and neurological complications after COVID-19. LEF1-AS1 has been measured in the blood by quantitative PCR in 104 primo-infected participants from the Predi-COVID cohort within 3 days post clinical PCR-confirmed COVID-19 diagnosis. Among them, 35 participants (34 %) reported at least one persistent cardiovascular symptom and at least one persistent neurological or ocular symptom in a self-administered questionnaire 12 months after COVID-19 diagnosis. Blood levels of LEF1-AS1 at baseline in these patients were lower (p = 0.019) compared to those who did not report symptoms. Lower LEF1-AS1 levels were associated with symptoms with an odds ratio of 0.48 (95 % confidence interval 0.28-0.83) in a logistic regression model adjusted for age, sex, comorbidity, and moderate disease severity at baseline. LEF1-AS1 expression was positively correlated with the frequency of naïve T cells and negatively correlated with the frequency of effector memory T cells among total CD8+ T cells, revealing a potential association between LEF1-AS1 and CD8+ T-cell differentiation following SARS-CoV-2 infection. In conclusion, blood levels of LEF1-AS1 can potentially help in predicting 12-month cardiovascular and neurological complications in COVID-19 patients, though this finding requires validation in larger cohorts.

Unmasking the Psychological Landscape of Long COVID: A Cluster-analytical Approach

OBJECTIVE

Since the emergence of SARS-CoV-2, an increasing number of people report long-term physical and psychological impairments. Research on the immunological sequalae of long COVID (LC) is growing, though its relationship with mental health remains underexplored. We investigated the psychological impairments associated with LC, identify related psychological symptom clusters, and their relationship with physical symptoms and pandemic-related variables.

METHODS

Cross-sectional descriptive study, using an online questionnaire (September 2020 - December 2022) in German and French, assessing depression, anxiety, fatigue, stress, and somatic symptoms. Clusters were identified using hierarchical and machine learning techniques (Kmeans and AffinityPropagation) and compared based on LC symptoms, past physical and mental health, substance use, COVID-19 variant, and family dynamics.

RESULTS

Among 1218 LC participants (78.7% female), four clusters were identified using AffinityPropagation: (1) low anxiety, depression, and somatoform symptoms, (2) low anxiety and depression but moderate somatoform symptoms, (3) high anxiety and depression with high somatoform symptoms, and (4) high anxiety and depression with moderate somatoform symptoms. Cluster 3 reported the most severe physical and neurological symptoms, the largest life impact (including relationship deterioration and professional difficulties) and the highest prevalence of past mental disorders (depression and PTSD). Cluster 1 reported the least symptoms.

CONCLUSIONS

LC significantly impacts mental health, particularly through increased anxiety, depression, and somatoform symptoms, especially in patients with severe LC physical symptoms. Psychological interventions targeting distinct symptom clusters may improve both mental and physical outcomes. Early mental health screening and tailored interventions are recommended for LC assessment and treatment.

Association between Mexican vaccination schemes and the duration of long COVID syndrome symptoms

The COVID-19 pandemic had a profound global impact, characterized by a high fatality rate and the emergence of enduring consequences known as Long COVID. Our study sought to gauge the prevalence of Long COVID syndrome in northeastern Mexico, correlating it with patients' comorbidities and vaccination records. We carried out an observational cross-sectional approach, by administering a comprehensive questionnaire covering patients' medical history, demographics, vaccination status, COVID-related symptoms, their duration, and any treatment received. Our participant cohort included 804 patients, averaging 41.5 (SD 13.6) years in age, with 59.3% being women. Notably, 168 individuals (20.9%) met Long COVID criteria. Our analysis of COVID-19 long lasting compared vaccination schemes, unveiling a significant difference between vaccinated and unvaccinated groups (p =  < 0.001). Through linear regression model, we found male gender (β = - 0.588, p < 0.001) and vaccination status (β = 0.221, p = 0.015) acted as protective factors against Long COVID symptom duration, while higher BMI was a risk factor (β = - 0.131, p = 0.026). We saw that the duration of Long COVID was different within vaccinated patients, and we did not find any association of comorbidities with an increase in the presence of symptoms. Even three years after the pandemic, a significant prevalence of Long COVID persists, and there is still a lack of standardized information and any possible treatment regarding this condition.

Profiling the persistent and episodic nature of long COVID symptoms and the impact on quality of life and functional status: a cohort observation study

Background

Post-viral issues following acute infection with coronavirus disease 2019 (COVID-19), referred to widely as long COVID, are associated with episodic, persistent, and disabling symptoms affecting quality of life and functional status. Evidence demonstrates a significant impairment and long disease course, but there remains limited empirical data to profile and determine the fluctuating symptom profile of long COVID.

Methods

We devised a 16-week, multicentre prospective cohort observation study to profile changes in patient-reported outcomes, and biological, physiological, psychological, and cognitive parameters following diagnosis and/or referral to an established long COVID clinic. Following baseline assessments, participants completed four face-to-face visits interspersed with telephone consultations. Face-to-face visits included physiological assessment, patient-reported outcome measures (PROMs), functional status, and respiratory function. Telephone consultations involved PROMs and symptom profiling.

Results

Patient-reported outcomes improved from baseline to week sixteen, but demonstrated between visit fluctuations in frequency and severity. Further findings highlight the severity and frequency of long COVID symptom profiles and the extent of quality of life and functional status impairment.

Conclusions

The data presented here highlight the episodic and relapsing nature and should be used to help characterise long COVID disability. They can inform the development of long COVID-specific guidelines and support services that can adequately respond to the reductions in patient well-being.

A Longitudinal Investigation of the Prevalence and Incidence of Self-Reported COVID-19 Disease and the Pandemic's Impact Among Seventh-day Adventist and Non-Adventists Living in the UK

This research investigated the prevalence and incidence of COVID-19 infection among Seventh-day Adventist Christians in the UK compared to non-Adventists and assessed the pandemic's impact on their health and dietary intake. Seventh-day Adventists and non-Adventists in the UK completed an online survey, including a Food Frequency Questionnaire, a 24-h dietary recall, and health and lifestyle questions. Participants were followed for 2 years to determine COVID-19 incidence rates. The baseline survey was completed by 170 people, 86 of whom were Adventists. The follow-up at 2 years showed a significantly lower self-reported COVID-19 incidence among Adventists (OR 0.45, 95% CI 0.2, 1.0, p = 0.05). The incidence rate among Adventists was 65.48 per 1000 person-years versus 121.79 per 1000 person-years among non-Adventists. Adventists were less likely to experience long COVID (OR 0.30, 95% CI 0.12, 0.78, p = 0.01). Despite being older, Adventists had a significantly lower COVID-19 incidence rate. The Adventist lifestyle, including healthy eating habits, fasting, a plant-based diet, and abstaining from alcohol and coffee, was prevalent in this sample. More research is needed to explore the association between the Adventist lifestyle and infectious disease.

The incidence of outpatient care within 24 months from SARS-CoV-2 infection in the general population: a multicenter population-based cohort study

BACKGROUND

The long-term effects of COVID-19, which can vary significantly in type and timing, are considered relevant and impacting on the well-being of individuals. The present study aims to assess the incidence of outpatient care in the post-acute phase of SARS-CoV-2 infection in two Italian regions.

METHODS

The study has a multicentre, population-based, pre-post, repeated measures design to compare the incidence rate of access to outpatient visits and diagnostics before and after SARS-CoV-2 infection, considering a follow-up of 24 months. The study made use of previously recorded large-scale healthcare data available in the administrative databases of the Emilia-Romagna (E-R) and Veneto regions. Analyses were carried out separately in the two regions and results were pooled using random effects meta-analysis.

RESULTS

There were 27,140 subjects in E-R and 22,876 in Veneto who were included in the analysis. The pooled outputs showed an increase in rates of outpatient visits and diagnostics starting from month 2 after SARS-CoV-2 infection (IRR = 1.68, 95% CI = 1.56-1.81) with a peak at month 4 (IRR = 2.05, 95% CI = 1.95-2.15); the increase continued with reduced intensity up to month 15. Stratified analysis revealed that subjects with severe acute COVID-19 had a higher increase in rates (up to IRR = 3.96, 95% CI = 2.89-5.44), as well as patients with no comorbidities (up to IRR = 2.71, 95% CI = 2.60-2.83).

CONCLUSION

Long-term effects of COVID-19 include an increase in the healthcare burden especially in the first months after the acute infection. The increased demand for resources can last up to two years after infection in particular subgroups of patients such as subjects admitted to hospital during the acute phase due to the severe presentation of the disease.

Prevalence of depression, anxiety, stress, and suicide tendency among individual with long-COVID and determinants: A systematic review and meta-analysis

BACKGROUND

While mental health alterations during active COVID-19 infection have been documented, the prevalence of long-term mental health consequences remains unclear. This study aimed to determine the prevalence of mental health symptoms-depression, anxiety, stress, and suicidal tendencies-and to identify their trends and associated risk factors in individuals with long-COVID.

METHODS

We conducted a systematic literature search of databases including PubMed, EMBASE, Scopus, CINAHL, Cochrane Library, Web of Science, and PsycINFO up to August 2024, targeting observational studies published in English. Study quality was assessed using structured standard tools. The primary outcome was the pooled prevalence of depression, anxiety, stress, and suicidal tendencies in individuals with long-COVID. Secondary outcomes included trends in these mental health problems over time and identification of associated determinants.

RESULTS

A total of 94 eligible studies were included in the analysis. The pooled prevalence estimates, regardless of follow up times duration, were as follows: depression, 25% (95%CI:22-28%; PI:1-59%); anxiety (adjusted via trim and fill method), 23%(95%CI:21-25%;PI:2-35%); composite outcomes of depression and/or anxiety, 25% (95%CI:23-27%;PI:2-51%); stress, 26%(95%CI:13-39%;PI:1-69%); and suicidality, 19%(95%CI:15-22%;PI:13-25%). The results of meta-regression analyses revealed a statistically significant trend showing a gradual decrease in the prevalence of the composite outcome of anxiety and/or depression over time (RD = -0.004,P = 0.022). Meta-regression results indicated that being female and younger age were significantly associated with a higher prevalence of mental health symptoms. Study design and study setting did not contribute to heterogeneity.

CONCLUSION

One-fourth of individual with long-COVID experience mental health symptoms, including depression, anxiety, and stress, which remain prevalent even two years post-infection despite a slight decreasing trend. Factors such as female gender and younger age were linked to higher rates of anxiety and depression. These findings indicate the need for ongoing mental health screening and early interventions to mitigate long-term psychological distress in long-COVID patients.

Tackling pulmonary fibrosis risks in post-COVID-19: cutting-edge treatments

INTRODUCTION

Pulmonary fibrosis (PF) post-COVID-19 has been identified as an important complication of Long-COVID, especially in patients with severe respiratory symptoms. High-resolution computed tomography (HRCT) is the main tool for detecting fibrotic lesions in patients with PF post-COVID-19.

AREAS COVERED

We conducted a systematic review with the following objectives: (1) to summarize the incidence and disease burden of post‑COVID‑19 pulmonary fibrosis, (2) to provide information on available therapies and drugs for its management, (3) to comprehensively evaluate the initial treatment efficacy of these drugs, and (4) to identify the limitations and challenges associated with current treatment approaches.

EXPERT OPINION

Cutting-edge treatments for PF post-COVID-19 are focused on the complex and multifactorial nature of the disease progreession during Long COVID, which involves chronic inflammation, fibroblast activation, and excessive extracellular matrix deposition leading to stiffening and fibrosis of lung tissue. While traditional antifibrotic drugs with nintedanid and pirfenidone are being used, novel therapies with anti-interleukines, mesenchymal stem cells, and Rho-kinase inhibitors promise the new treatment approaches for patients with PF post-COVID-19. Further research and clinical trials are needed to determine the most effective strategies for managing this complex condition, with the goal of improving patient outcomes and quality of life.

General practice registrar evaluation of long COVID in patients presenting with fatigue

Background Long COVID is a new and prevalent condition defined by persistent symptoms following acute COVID-19 infection. While increasing resources are being directed to management, there is little evidence on how general practitioners (GPs) have changed their assessment and differential diagnosis of patients with potential long COVID symptoms including fatigue. This study aimed to examine how often GP registrars consider long COVID in patients presenting with fatigue, how often they think long COVID might be the cause for fatigue, and patient, registrar, practice, and consultation factors associated with these outcomes. Methods Data were collected through Registrar Clinical Encounters in Training (ReCEnT), an ongoing inception cohort study of GP registrars' in-consultation experiences, during two collection rounds in 2022-2023. Multivariable logistic regression was used to examine the relationship between predictor variables and outcomes. Results A total of 969 registrars recorded 3193 consultations where fatigue was a symptom. Registrars reported considering long COVID as a differential diagnosis in 2563 encounters (80%, 95% confidence interval (CI) 79-82%). Of these, registrars thought long COVID was the likely cause for fatigue in 465 encounters (18%, 95% CI 17-20%). While no patient variables were significantly associated with either outcome, multivariable associations included telehealth consultations having greater odds of both outcomes and Australian-trained registrars having lesser odds of considering long COVID likely. Conclusions Registrars report usually considering long COVID as a differential for fatigue and frequently considering it a likely diagnosis. Telehealth usage was significantly associated with both outcomes. Future work should explore GPs' diagnostic approaches to other potential long COVID symptoms.

Piecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023

OBJECTIVE

To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023.

METHODS

Using X as the data source, we extracted tweets containing #long-covid, #long_covid, or "long covid," posted from May 2020 to April 2023. We then conducted an unsupervised deep learning analysis using Bidirectional Encoder Representations from Transformers (BERT). This method allowed us to process and analyze large-scale textual data, focusing on individual user tweets. We then employed BERT-based topic modeling, followed by reflexive thematic analysis to categorize and further refine tweets into coherent themes to interpret the overarching narratives within the long COVID discourse. In contrast to prior studies, the constructs framing our analyses were data driven as well as informed by the tenets of social constructivism.

RESULTS

Out of an initial dataset of 2,905,906 tweets, a total of 1,354,889 unique, English-language tweets from individual users were included in the final dataset for analysis. Three main themes were generated: (1) General discussions of long COVID, (2) Skepticism about long COVID, and (3) Adverse effects of long COVID on individuals. These themes highlighted various aspects, including public awareness, community support, misinformation, and personal experiences with long COVID. The analysis also revealed a stable temporal trend in the long COVID discussions from 2020 to 2023, indicating its sustained interest in public discourse.

CONCLUSION

Social media, specifically X, helped in shaping public awareness and perception of long COVID, and the posts demonstrate a collective effort in community building and information sharing.

Risk factors of long-term brain health outcomes after hospitalization for critical illness

BACKGROUND

Brain health may be impaired years after hospitalization for critical illness, and similar impairments occur after hospitalization for COVID-19. However, it remains unclear which patients are most likely to experience long-term brain health consequences and whether these adverse events differ between non-COVID critical illness and COVID-19.

METHODS

In a prospective observational study, we enrolled patients hospitalized for (1) non-COVID critical illness (pneumonia, myocardial infarction, or ICU-requiring conditions) or for (2) COVID-19, from March 2020 to June 2021. Brain health was assessed at 18-month follow-up with cognitive, psychiatric, and neurological tests. We used both logistic regression and prediction models to test for associations between different variables and brain health.

RESULTS

We included 245 patients: 125 hospitalized for non-COVID critical illness and 120 for COVID-19 [mean age 61.2 (± 13.6) years, 42% women]. Brain health was impaired in 76% of patients (72% critical illness, 81% COVID-19; p = 0.14) at 18-month follow-up. The strongest predictive factors associated with impaired brain health were education < 13 years, age ≥ 70 years, and neuroticism traits in the best performing model (AUC = 0.63). When analyzing non-COVID critical illness and COVID-19 patients separately, low education was one of the few factors associated with impaired brain health in both groups (AUCs for best models: 0.66 and 0.69).

CONCLUSION

Brain health is comparably impaired after hospitalization for critical illness and COVID-19. Factors like higher age, lower education and neuroticism may help identifying vulnerable individuals, who could benefit from close monitoring to improve brain health after critical illness, regardless of the underlying disease etiology.

Effects of a symptom-titrated exercise program on fatigue and quality of life in people with post-COVID condition - a randomized controlled trial

Fatigue is the most prevalent symptom within the post-COVID condition (PCC). Furthermore, many patients suffer from decreased physical performance capacity and post-exertional malaise. Although exercise has been proposed as an effective therapeutic strategy for PCC, there is limited evidence on individualised and symptom-titrated exercise interventions in patients with fatigue and PEM. Therefore, we conducted a multi-centre randomised controlled trial to investigate the effectiveness of an individualised and symptom-titrated exercise program. We measured fatigue, health-related quality of life, hand-grip strength, endurance capacity and PEM before and after the 10-week intervention. A total of 118 individuals with PCC were included in the final intention-to-treat analysis. All tests and training sessions took place in commercial fitness and health facilities. We found significant effects on fatigue severity, health-related quality of life and physical performance capacity. Adjusting the individual exercise load to daily fatigue has proven to be an effective and safe strategy in PCC patients with fatigue. Under the guidance of qualified professionals and by utilising symptom-titrated training recommendations, commercial fitness and health facilities present an appropriate setting for outpatient exercise rehabilitation in PCC.

Management of pain and sedation in the intensive care unit

Advances in our approach to treating pain and sedation when caring for patients in the intensive care unit (ICU) have been propelled by decades of robust trial data, knowledge gained from patient experiences, and our evolving understanding of how pain and sedation strategies affect patient survival and long term outcomes. These data contribute to current practice guidelines prioritizing analgesia-first sedation strategies (analgosedation) that target light sedation when possible, use of short acting sedatives, and avoidance of benzodiazepines. Together, these strategies allow the patient to be more awake and able to participate in early mobilization and family interactions. The covid-19 pandemic introduced unique challenges in the ICU that affected delivery of best practices and patient outcomes. Compliance with best practices has not returned to pre-covid levels. After emerging from the pandemic and refocusing our attention on optimal pain and sedation management in the ICU, it is imperative to revisit the data that contributed to our current recommendations, review the importance of best practices on patient outcomes, and consider new strategies when advancing patient care.

Higher Post-Acute Health Care Costs Following SARS-CoV-2 Infection Among Adults in Ontario, Canada

Purpose and Introduction

Growing evidence suggests SARS-CoV-2 infection increases the risk of long term cardiovascular, neurological, and other effects. However, post-acute health care costs following SARS-CoV-2 infection are not known.

Patients and Statistical Methods

Beginning 56 days following SARS-CoV-2 polymerase chain reaction (PCR) testing, we compared person-specific total and component health care costs (2020 CAD$) for the first year of follow-up at the mean and 99th percentiles of health care costs for matched test-positive and test-negative adults in Ontario, Canada, between January 1, 2020, and March 31, 2021. Matching included demographics, baseline clinical characteristics, and two-week time blocks.

Results

For 531,182 people, mean person-specific total health care costs were $513.83 (95% CI $387.37-$638.40) higher for test-positive females and $459.10 (95% CI $304.60-$615.32) higher for test-positive males, which were driven by hospitalization, long-term care, and complex continuing care costs. At the 99th percentile of each subgroup, person-specific health care costs were $12,533.00 (95% CI $9008.50-$16,473.00) higher for test-positive females and $14,604.00 (95% CI $9565.50-$19,506.50) for test-positive males, driven by hospitalization, specialist (males), and homecare costs (females). Cancer costs were lower. Six-month and 1-year cost differences were similar.

Conclusion

Post-acute health care costs after a positive SARS-CoV-2 PCR test were significantly higher than matched test-negative individuals, and these increased costs persisted for at least one year. The largest increases health care costs came from hospitalizations, long-term care, complex continuing care, followed by outpatient specialists (for males) and homecare costs (for women). Given the magnitude of ongoing viral spread, policymakers, clinicians, and patients should be aware of higher post-acute health care costs following SARS-CoV-2 infection.

Mitigating the risks of post-acute sequelae of SARS-CoV-2 infection (PASC) with intranasal chlorpheniramine: perspectives from the ACCROS studies

BACKGROUND

The World Health Organization (WHO) declared the end of the COVID-19 (SARS-CoV-2) global public health emergency on May 5, 2023, but its long-term consequences have still been haunting the global population. Post-acute sequelae of COVID-19 (PASC) and long-term COVID-19 are serious concerns and present with various symptoms. Intranasal chlorpheniramine (iCPM) has been shown to decrease the viral burden of SARS-COV-2. iCPM uses decreased COVID-19 disease progression and severity in Accelerating COVID-19 Clinical Recovery in an Outpatient Setting (ACROSS)-I & III randomized control trials (RCT).

METHODS

This prospective survey study included 259 participants in ACROSS I and III RCTs. We compared the effect of iCPM versus placebo on the reduction of PASC symptoms. A PASC questionnaire containing 17 questions regarding the most common PASC symptoms was used in this study. T-test and Pearson chi-square statistics were performed according to continuous and categorical data using STATA 17.0 Basic Edition software.

FINDINGS

The iCPM cohort had a lower proportion of patients with fatigue or tiredness vs. placebo (0 Vs 17, 21, p < 0.001). iCPM cohort had a lower proportion of patients with difficulty concentrating or mental confusion (0 vs. 22, 27, p < 0.001). iCPM cohort had also a lower number of patients with difficulty in the ability to perform daily activities or work vs. placebo (1 Vs 38, 48, p < 0.001). A smaller number of patients in the iCPM cohort sought medical attention for PACS symptoms compared to placebo (0 vs. 48, 68, p < 0.001).

INTERPRETATION

The use of intranasal chlorpheniramine shows promise in preventing COVID-19 progression to the often-debilitating post-COVID-19 syndrome PASC. The association between iCPM use and a lower prevalence of PASC symptoms is strong. Further studies are needed to establish the role of ICPM in preventing PASC.

The effects of remdesivir on long-term symptoms in patients hospitalised for COVID-19: a pre-specified exploratory analysis

BACKGROUND

There is an unmet need for treatment of long-term symptoms following COVID-19. Remdesivir is currently the only antiviral approved by the European Medicines Agency for hospitalised patients. Here, we report on the effect of remdesivir in addition to standard of care on long-term symptoms and quality of life in hospitalised patients with COVID-19 as part of the open-label randomised NOR-Solidarity trial (NCT04321616).

METHODS

A total of 185 patients were included in the main trial, of which 118 (60%) were randomised to either remdesivir (n = 42; 36%) or a post-hoc defined control group composed of patients who received standard of care alone or standard of care with hydroxychloroquine (n = 76; 64%). Participants were given quality of life surveys to fill out to gauge their self-reported health over time (the COPD assessment test, the EQ-5D-5L and the RAND SF-36).

RESULTS

Here we show that after three months, patients treated with remdesivir do not show significant improvements in stated health compared to those who were not. There are self-reported symptoms of fatigue [mean remdesivir group 2.6 (standard deviation 1.5) v control 2.1 (1.6), 95% confidence interval(CI) -1.17 to 0.15, p = 0.129], shortness of breath [3.0 (1.7) v 2.1 (1.8), 95% CI -1.53 to 0.16, p = 0.110] and coughing [1.8 (1.6) v 1.2 (1.5), 95% CI -1.3 to 0.33, p = 0.237] 3 months after randomisation assessed via the COPD Assessment Test.

CONCLUSIONS

Our findings indicate that treatment with remdesivir during hospitalisation does not provide any clinically relevant long-term benefit.

Long COVID and recovery from Long COVID: quality of life impairments and subjective cognitive decline at a median of 2 years after initial infection

BACKGROUND

Recovery from SARS CoV-2 infection is expected within 3 months. Long COVID occurs after SARS-CoV-2 when symptoms are present for more than 3 months that are continuous, relapsing and remitting, or progressive. Better understanding of Long COVID illness trajectories could strengthen patient care and support.

METHODS

We characterized functional impairments, quality of life (QoL), and cognition among patients who recovered from SARS-CoV-2 infection within 3 months (without Long COVID), after 3 months (Recovered Long COVID), or remained symptomatic (Long COVID). Among 7305 patients identified with previous SARS-CoV-2 infection between March 2020 and December 2021, confirmed in the medical record with laboratory test or physician diagnosis, 435 (6%) completed a single self-administered survey between March 2022 and September 2022. Multi-domain QoL and cognitive concerns were evaluated using PROMIS-29 and the Cognitive Change Index-12.

RESULTS

Nearly half the participants (47.7%) were surveyed more than 2 years from initial infection (median = 23.3 months; IQR = 18.6, 26.7) and 86.7% were surveyed more than 1 year from infection. A significantly greater proportion of the Long COVID (n = 215) group, (Current and Recovered combined), had moderate-to-severe impairment in all health domains assessed compared to those Without Long COVID (n = 220; all p < 0.05). The Recovered Long COVID group (n = 34) had significantly lower prevalence of fatigue, pain, depression, and physical and social function impairment compared to those with Current Long COVID (n = 181; all p < 0.05). However, compared to patients Without Long COVID, the Recovered Long COVID group had greater prevalences of fatigue, pain (p ≤ 0.06) and subjective cognitive decline (61.8% vs 29.1%; p < 0.01). Multivariate relative risk (RR) regression indicated Long COVID risk was greater for older age groups (RR range 1.46-1.52; all p ≤ 0.05), those without a bachelor's degree (RR = 1.33; 95% CI = 1.03-1.71; p = 0.03), and those with 3 or more comorbidities prior to SARS-CoV-2 infection (RR = 1.45; 95% CI = 1.11-1.90; p < 0.01).

CONCLUSIONS

Long COVID is associated with long-term subjective cognitive decline and diminished quality of life. Clinically significant cognitive complaints, fatigue, and pain were present even in those who reported they had recovered from Long COVID. These findings have implications for the sustainability of participation in work, education, and social activities.

Differential associations between SARS-CoV-2 infection, perceived burden of the pandemic and mental health in the German population-based cohort for digital health research

Understanding the potential adverse effects of the COVID-19-pandemic on mental health remains a challenge for public health. Differentiation between potential consequences of actual infection with SARS-CoV-2 and the subjective burden of the pandemic due to measures and restrictions to daily life still remains elusive. Therefore, we investigated the differential association between infection with SARS-Cov-2 and subjective burden of the pandemic in a study cohort of 7601 participants from the German population-based cohort for digital health research (DigiHero), who were recruited between March 4th and April 25th 2022. Data was collected using the online survey tool LimeSurvey® between March and October 2022 in consecutive surveys, which included questionnaires on infection status and symptoms following COVID-19 as well as retrospective assessment of the subjective burden of the pandemic. We observed an association of a past SARS-CoV-2 infection on deteriorated mental health related symptoms, whereas no association or interaction with burden of the pandemic occurred. The association was driven by participants with persistent symptoms 12 weeks after infection. On a symptom specific level, neuropsychiatric symptoms such as exhaustion and fatigue, concentration deficits and problems with memory function were the primary drivers of the association with small effect sizes between 0.048 and 0.062 ηp2.

Clinical and functional assessment of SARS-CoV-2 sequelae among young marines - a panel study

Background

Long-term SARS-CoV-2 adverse health outcomes are of significant concern, especially among young adults with the potential for the greatest long-term morbidity. We sought to assess and characterize these outcomes in a cohort of Marines.

Methods

We used a cohort of US Marines from a previous longitudinal, prospective observational study of acute SARS-CoV-2, most of whom were enrolled prior to infection. A panel study was established to assess for post-acute sequelae of COVID-19 (PASC), defined as symptoms at least 4 weeks after symptom onset or diagnosis. Symptoms were assessed through questionnaires and validated quality of health metrics. Periodic US Marine Corps fitness testing metrics provided an additional standardized functional assessment and were compared to a pre-pandemic cohort.

Findings

Globally dispersed Marine participants (n = 899) seen an average of 330 days following initial enrollment were predominately male (n = 825, 91.7%), White (n = 613, 71.6%) or Black (n = 149, 17.4%) with a median age of 18 years (interquartile range: 18-19). Among 798 SARS-CoV-2 infected participants, 197 (24.7%) developed PASC. The most prevalent symptoms were loss of taste and/or smell (n = 82; 41.6%), shortness of breath (n = 74; 37.6%), and cough (n = 45; 22.8%). Those with PASC had higher rates and severity of somatic (p < 0.0001), general depressive (p < 0.0001), and anxiety (p = 0.005) symptoms. Compared to a historic cohort of Marines, participants with PASC scored worse on their physical fitness assessments due to slower run times (p = 0.002). Those with PASC continued to have decreased physical performance one year after completing initial training.

Interpretation

In this population of healthy young adult US Marines with mostly either asymptomatic or mild acute COVID-19, one fourth reported physical, cognitive, or psychiatric long-term sequelae of infection. The Marines affected with PASC showed evidence of long-term decrease in functional performance suggesting that SARS-CoV-2 infection may negatively affect health for a significant proportion of young adults.

Funding

Defense Health Agency and Defense Advanced Research Projects Agency.

Memory complaints after COVID-19: a potential indicator of primary cognitive impairment or a correlate of psychiatric symptoms?

Cognitive impairment and symptoms of psychiatric disorders have been reported frequently as features of post-acute sequelae of SARS-CoV-2 infection. This study aims to investigate subjective memory complaints in COVID-19 survivors and determine if these are more strongly associated with objective cognitive impairment related to sequelae of SARS-CoV-2 infection or with symptoms of psychiatric conditions. A total of 608 COVID-19 survivors were evaluated in-person 6-11 months after hospitalization, with 377 patients assigned to a "no subjective memory complaint (SMC)" group and 231 patients assigned to an SMC group based on their Memory Complaint Scale scores. Follow-up evaluations included an objective cognitive battery and scale-based assessments of anxiety, depression, and post-traumatic stress symptoms. We found the perception of memory impairment in COVID-19 survivors to be more strongly associated to core symptoms of psychiatric conditions rather than to primary objective cognitive impairment. Univariate analysis indicated significant differences between the "no SMC" and SMC groups, both for the psychiatric symptom evaluations and for the cognitive evaluations (p < 0.05); however, the psychiatric symptoms all had large partial eta-squared values (ranging from 0.181 to 0.213), whereas the cognitive variables had small/medium partial eta-squared values (ranging from 0.002 to 0.024). Additionally, multiple regression analysis indicated that only female sex and depressive and post-traumatic stress symptoms were predictors of subjective memory complaints. These findings may help guide clinical evaluations for COVID-19 survivors presenting with memory complaints while also serving to expand our growing understanding of the relationship between COVID-19, subjective memory complaints, and the risk of cognitive decline.

Cluster analysis identifies long COVID subtypes in Belgian patients

Severe acute respiratory syndrome coronavirus infection presents complications known as long COVID, a multisystemic organ disease which allows multidimensional analysis. This study aims to uncover clusters of long COVID cases and establish their correlation with the clinical classification developed at the Clinical Research Unit of Brugmann University Hospital, Brussels. Such an endeavour is instrumental in customizing patient management strategies tailored to the unique needs of each distinct group. A two-stage multidimensional exploratory analysis was performed on a retrospective cohort of 205 long COVID patients, involving a factorial analysis of mixed data, and then hierarchical clustering post component analysis. The study's sample comprised 76% women, with an average age of 44.5 years. Three clinical forms were identified: long, persistent, and post-viral syndrome. Multidimensional analysis using demographic, clinical, and biological variables identified three clusters of patients. Biological data did not provide sufficient differentiation between clusters. This emphasizes the importance of identifying or classifying long COVID patients according to their predominant clinical syndrome. Long COVID phenotypes, as well as clinical forms, appear to be associated with distinct pathophysiological mechanisms or genetic predispositions. This underscores the need for further research.

A description of the development of an innovative multi-component long COVID treatment program based on central sensitization with preliminary patient satisfaction data

OBJECTIVE

Estimates of the prevalence of Long COVID in the United States or worldwide are imprecise, but millions of people are thought to be affected. No effective treatment exists for the often devastating symptoms of Long COVID. Central Sensitization has been postulated as a causal/explanatory mechanism for developing Long COVID. No treatment to date has targeted Central Sensitization. The present cross-sectional study describes the first 140 patients treated in a multi-component treatment program that targets Central Sensitization to reduce symptom burden, improve functioning, and lower the psychological distress observed in these patients.

METHODS

140 patients diagnosed with Long COVID after an extensive medical evaluation were assessed for function, depression, and pain catastrophizing using questionnaires and patient satisfaction measures after completion of a 16-h Cognitive Behavioral Therapy treatment program focused on Central Sensitization.

RESULTS

Upon admission, patients diagnosed with Long COVID were significantly impaired in their ability to function due to their symptoms. Further, 70% of the patients were depressed. Pain catastrophizing was observed in up to 20% of patients.

CONCLUSION

Patient satisfaction measures were high for the sample at the end of the treatment program suggesting that a multicomponent treatment program targeting Central Sensitization is acceptable to patients. Further research is needed to explore the effectiveness and durability of this treatment approach.

Long COVID Among Undocumented Latino Immigrant Populations in the Emergency Department

This cross-sectional study assesses the understanding of and access to care for long COVID symptoms among undocumented Latino immigrants in US emergency departments (EDs).

Psychological General Well-being, Cognitive Failure, and Inflammation Biomarkers Among Workers 4 Months After a Mild/Asymptomatic SARS-CoV-2 Infection

OBJECTIVE

To investigate the relationship between cognitive complaints, systemic inflammatory biomarkers, and psychological general well-being (PGWB) after mild/asymptomatic SARS-CoV-2 infection, according to the presence of long COVID and work tasks.

METHODS

University employees and metal workers were recruited in a cross-sectional study 4 months after SARS-CoV-2 infection to assess cognitive impairment, individual PGWB index, inflammatory biomarkers, namely platelet-lymphocyte, neutrophil-lymphocyte, and lymphocyte-monocyte ratios, and the presence of long COVID symptoms.

RESULTS

A significant increase in the levels of inflammatory biomarkers was observed in subjects with long COVID. Furthermore, the PGWB index was influenced by long COVID symptoms and subjective cognitive and depressive symptoms, but not by work activity.

CONCLUSIONS

In occupational settings, it is crucial to detect the presence of long COVID symptoms and systemic inflammation early, as they may be associated with lower PGWB.

Parallel Mediating Effects of Sleep Quality, Psychological Distress, and Self-Stigma in the Associations Between Long COVID Symptoms and Quality of Life Among Taiwanese Individuals With Mental Health Illness

BACKGROUND

Long COVID symptoms (i.e., experiencing symptoms of COVID-19 for 3 months post-COVID-19) affect individuals' health and their quality of life (QoL). However, the pathways through which it does so are not fully known.

AIM

The present study examined the mediating roles of sleep quality, psychological distress, and self-stigma in the associations between long COVID symptoms and QoL among individuals with mental illness.

METHOD

Individuals with mental illness (n = 333) were recruited from a psychiatric center in southern Taiwan to participate in the study. Data were collected regarding sleep quality, psychological distress, self-stigma, and QoL. Independent t-tests, Pearson correlations, and regression with Hayes' Process Macro were used to compare groups, examine relationships, and parallel mediation models, respectively.

RESULTS

Participants with long COVID symptoms had significantly worse sleep quality, psychological distress, physical QoL, and psychological QoL compared to those without symptoms. There were significant relationships between sleep quality, psychological distress, self-stigma, and QoL. Sleep quality significantly mediated the associations between long COVID symptoms and physical and social QoL. Psychological distress significantly mediated the associations between long COVID symptoms and all domains of QoL, but not self-stigma.

CONCLUSION

There are alternative pathways (e.g., sleep quality and psychological distress) through which long COVID symptoms may affect the QoL of individuals with mental illness. The findings suggest that individuals with long COVID symptoms have a higher chance of having poor QoL. Therefore, there may be the need for counseling and possible therapy for those who contract COVID-19, especially among individuals who already have mental illness.

Optimizing cardiopulmonary rehabilitation duration for long COVID patients: an exercise physiology monitoring approach

The presence of prolonged symptoms after COVID infection worsens the workability and quality of life. 200 adults with long COVID syndrome were enrolled after medical, physical, and mental screening, and were divided into two groups based on their performance. The intervention group (n = 100) received supervised rehabilitation at Department of Pulmonology, Semmelweis University with the registration number 160/2021 between 01/APR/2021-31/DEC/2022, while an age-matched control group (n = 100) received a single check-up. To evaluate the long-term effects of the rehabilitation, the intervention group was involved in a 2- and 3-month follow-up, carrying out cardiopulmonary exercise test. Our study contributes understanding long COVID rehabilitation, emphasizing the potential benefits of structured cardiopulmonary rehabilitation in enhancing patient outcomes and well-being. Significant difference was found between intervention group and control group at baseline visit in pulmonary parameters, as forced vital capacity, forced expiratory volume, forced expiratory volume, transfer factor for carbon monoxide, transfer coefficient for carbon monoxide, and oxygen saturation (all p < 0.05). Our follow-up study proved that a 2-week long, patient-centered pulmonary rehabilitation program has a positive long-term effect on people with symptomatic long COVID syndrome. Our data showed significant improvement between two and three months in maximal oxygen consumption (p < 0.05). Multidisciplinary, individualized approach may be a key element of a successful cardiopulmonary rehabilitation in long COVID conditions, which improves workload, quality of life, respiratory function, and status of patients with long COVID syndrome.

A pilot randomized controlled trial of major ozone autohemotherapy for patients with post-acute sequelae of COVID-19

This prospective, randomized, controlled clinical trial assessed the therapeutic effects of major ozone autohemotherapy (O3-MAH) in patients with post-acute sequelae of COVID-19 (PASC). Seventy-three eligible participants were randomly assigned to an O3-MAH plus conventional therapy group (n = 35) or a conventional therapy alone group (n = 38). Symptom score, pulmonary function, 6-minute walk distance (6MWD), and hematological, biochemical, and immunological parameters were evaluated before and after the interventions. Both groups demonstrated improvements in various parameters post-intervention, but efficacy was greater in the O3-MAH group than the conventional treatment group; with intervention effectiveness defined as a ≥ 50 % reduction in symptom score, 25 of 35 patients (71 %) responded to O3-MAH, while 17/38 patients (45 %) responded to conventional treatment alone (P = 0.0325). Significant improvements in symptom scores (P = 0.0478), tidal volume (P = 0.0374), predicted 6MWD (P = 0.0032), and coagulation and inflammatory indicators were noted in the O3-MAH group compared with the conventional treatment group. O3-MAH was more likely to be effective in patients with elevated CRP levels. Furthermore, O3-MAH markedly improved cellular immunity, and this improvement became more pronounced with extended treatment duration. In summary, combining O3-MAH with conventional treatment was more effective than conventional therapy alone in improving symptoms, pulmonary function, inflammation, coagulation, and cellular immunity in patients with PASC. Further research is now warranted to validate these findings and individualize the regimen.

Long-Term Post-COVID-19 Health and Psychosocial Effects and Coping Resources Among Survivors of Severe and Critical COVID-19 in Central and Eastern Europe: Protocol for an International Qualitative Study

BACKGROUND

There is a strong need to determine pandemic and postpandemic challenges and effects at the individual, family, community, and societal levels. Post-COVID-19 health and psychosocial effects have long-lasting impacts on the physical and mental health and quality of life of a large proportion of survivors, especially survivors of severe and critical COVID-19, extending beyond the end of the pandemic. While research has mostly focused on the negative short- and long-term effects of COVID-19, few studies have examined the positive effects of the pandemic, such as posttraumatic growth. It is essential to study both negative and positive long-term post-COVID-19 effects and to acknowledge the role of the resources available to the individual to cope with stress and trauma. This knowledge is especially needed in understudied regions hit hard by the pandemic, such as the region of Central and Eastern Europe. A qualitative approach could provide unique insights into the subjective perspectives of survivors on their experiences with severe COVID-19 disease and its lingering impact on their lives.

OBJECTIVE

The aim of the study is to qualitatively explore the experiences of adult survivors of severe or critical COVID-19 throughout the acute and postacute period in 5 Central and Eastern European countries (Bulgaria, Slovakia, Croatia, Romania, and Poland); gain insight into negative (post-COVID-19 condition and quality of life) and positive (posttraumatic growth) long-term post-COVID effects; and understand the role of survivors' personal, social, and other coping resources and local sociocultural context and epidemic-related situations.

METHODS

This is a qualitative thematic analysis study with an experiential reflexive perspective and inductive orientation. The analytical approach involves 2-stage data analysis: national analyses in stage 1 and international analysis in stage 2. Data are collected from adult survivors of severe and critical COVID-19 through in-depth semistructured interviews conducted in the period after hospital discharge.

RESULTS

As of the publication of this paper, data collection is complete. The total international sample includes 151 survivors of severe and critical COVID-19: Bulgaria (n=33, 21.8%), Slovakia (n=30, 19.9%), Croatia (n=30, 19.9%), Romania (n=30, 19.9%), and Poland (n=28, 18.5%). National-level qualitative thematic analysis is currently underway, and several papers based on national results have been published. Cross-national analysis has started in 2024. The results will be submitted for publication in the third and fourth quarters of 2024.

CONCLUSIONS

This research emphasizes the importance of a deeper understanding of the ongoing health and psychosocial challenges survivors face and what helps them cope with these challenges and, in some cases, thrive. It has implications for informing holistic care and improving the health and psychosocial outcomes of survivors of COVID-19 and will be crucial for evaluating the overall impact and multifaceted implications of the pandemic and for informing future pandemic preparedness.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/57596.

Correlating COVID-19 severity with biomarker profiles and patient prognosis

COVID-19's long-lasting and complex impacts have become a global concern, with diverse clinical outcomes. This study evaluated 226 participants to understand the clinical spectrum of COVID-19/Long COVID (LC), exploring how disease severity correlates with sociodemographic factors and biomarkers. Determinants related to COVID-19 severity included age (P < 0.001), lower education (P < 0.001), ethnicity (P = 0.003), overweight (P < 0.001), MTHFR gene rs1801133 (P = 0.035), cardiovascular diseases (P = 0.002), diabetes mellitus (DM) (P = 0.006), Factor VIII (FVIII) (P = 0.046), von Willebrand factor (VWF) (P = 0.002), and dimer D (DD) (P < 0.001). Six months later, in a portion of the monitored participants, a significant reduction in FVIII (P < 0.001), VWF (P = 0.002), and DD (P < 0.001) levels was observed, with only DD returning to normal values. Different systemic sequelae were identified, with higher incidences of joint pain and myalgia in participants with a clinical history of DM, chronic lung disease (CLD) and sustained high interleukin 6 values in the convalescent phase. CLD, COVID-19 severity and high DD levels increased the risk of developing dyspnea and palpitations. Women were more likely to develop lower limb phlebitis long-term, while sustained elevated FVIII in the convalescent phase was associated with an increased risk of swelling. Regular physical activity had a protective effect against swelling. This study highlights factors contributing to COVID-19 severity/LC, emphasizing endothelial cell activation as a potential mechanism.

Effectiveness of an online multimodal rehabilitation program in long COVID patients: a randomized clinical trial

BACKGROUND

Digital interventions are expected to facilitate the treatment of patients suffering from Long COVID. This trial assesses the effectiveness of a multimodal rehabilitation program -comprising both online and synchronous components- in managing the characteristic symptoms of Long COVID and, consequently, in improving quality of life. It also aims to identify which changes in measured variables from baseline (T0) to post-intervention (T1) predict an improvement in quality of life.

METHODS

A blind randomized controlled trial was conducted with two parallel groups: (1) the control group, which received usual treatment from the primary care physician and (2) the intervention group, which received usual treatment in addition to an online multimodal rehabilitation program. The data were collected at two time points: prior to the start of the intervention and three months after it. The main outcome variable was quality of life, encompassing both mental health and physical health-related quality of life. Sociodemographic and clinical variables were collected as secondary variables.

RESULTS

A total of 134 participants (age 48.97 ± 7.64; 84.33% female) were included and randomized into the control group (67 participants) and the intervention group (67 participants). Comparative analyses conducted before and after the intervention showed a significant improvement in the mental health-related quality of life of the participants who received the intervention, with a mean increase of 1.98 points (p < 0.05). Linear regression analyses revealed that both received the intervention (b = 3.193; p < 0.05) and an increased self-efficacy (b = 0.298; p < 0.05) were predictors of greater improvement in mental health-related quality of life.

The long COVID and its mental health manifestations - the review of literature

This article aims to present the overview of the situation during the coronavirus disease 2019 (COVID-19) pandemic about issues concerning the prevalence of mental disorders such as depression, anxiety, rate of suicide attempts, and long COVID (LC) infections in the general population during COVID-19 pandemic. Analysis of the literature (in English, Polish and Spanish language) on topics related to COVID-19, mental disorders (suicide attempts, depression, anxiety) and LC infection published during the 4 years (2020-2023) was done using Pubmed and PubMed Central search engine. Keywords such as "COVID-19," "mental disorders," "long COVID infection," "depression," "anxiety," "suicide attempts" were used during the search. The conduct of this review/comment followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) protocol, which corresponds to a checklist of 27 items designed to facilitate the development and reporting of a robust protocol for systematic reviews or meta-analyses. Overall 35 studies were selected and analyzed in the review on topics: including among others LC (14 studies), suicide attempts (7 studies), mental disorders (depression, anxiety) (14 studies). The main issues raised in the articles were: higher risk of LC symptoms in women, fatigue and brain fog listed as frequently encountered patient's complaints together with anxiety, depression, loneliness, especially in younger age groups and in women. Issues regarding LC, mental disorders and suicide attempts requires further research as the results vary in different countries. Int J Occup Med Environ Health. 2024;37(3):360-80.

Prevalence and risk factors of long COVID among maintenance hemodialysis patients post SARS-CoV-2 infection: A one-year follow-up study in China

Patients undergoing maintenance hemodialysis (MHD) are a high-risk group susceptible to SARS-CoV-2 infection and long-COVID syndrome appearance. However, there is limited and unclear evidence for long COVID in MHD patients. We collected the general information, symptoms, signs and laboratory indices of 366 MHD patients infected with COVID-19 and conducted 12 months follow-up with a series of questionnaires. As a result, 285 MHD patients had long COVID, with the most common symptoms were fatigue (84.69%) and muscle weakness (72.45%). Mobility problem (p < 0.001), anxiety/depression (p = 0.002) and breathlessness (p < 0.001) were more prevalent in long COVID patients than in non-long COVID patients. Persistent long COVID people were more likely to report all domains problems of the EQ-5D-5L. Age, female, inadequate dialysis (Kt/V < 1.2), coagulation abnormalities (d-dimer > 1 mg/L) and more comorbidities were risk factors for the development of long COVID. In addition to these factors, elevated inflammatory markers (CRP > 10 mg/L) represent an extra risk factor for the persistence of long COVID symptoms in MHD patients. And more than 80% of long COVID symptoms would resolve after 1 year in MHD patients, of which the sixth month after COVID-19 infection is a critical turning point. In conclusion, more than 68% of MHD patients have long COVID, which has a poor impact on their health status and quality of life. These risk factors for the development and persistence of long COVID deserve the attention of clinicians.

Gender Disparities in Neurological Symptoms of Long COVID: A Systematic Review and Meta-Analysis

BACKGROUND

Female gender is a known risk factor for long COVID. With the increasing number of COVID-19 cases, the corresponding number of survivors is also expected to rise. To the best of our knowledge, no systematic review has specifically addressed the gender differences in neurological symptoms of long COVID.

METHODS

We included studies on female individuals who presented with specific neurological symptoms at least 12 weeks after confirmed COVID-19 diagnosis from PubMed, Central, Scopus, and Web of Science. The search limit was put for after January 2020 until June 15, 2024. We excluded studies that did not provide sex-specific outcome data, those not in English, case reports, case series, and review articles Results: A total of 5,632 eligible articles were identified. This article provides relevant information from 12 studies involving 6,849 patients, of which 3,414 were female. The sample size ranged from 70 to 2,856, with a maximum follow-up period of 18 months. The earliest publication date was September 16, 2021, while the latest was June 11, 2024. The following neurological symptoms had a significant difference in the risk ratio (RR) for female gender: fatigue RR 1.40 (95% confidence interval [CI]: 1.22-1.60, p < 0.001), headache RR 1.37 (95% CI: 1.12-1.67, p = 0.002), brain-fog RR 1.38 (95% CI 1.08-1.76, p = 0.011) depression RR 1.49 (95% CI: 1.2-1.86, p < 0.001), and anosmia RR 1.61 (95% CI: 1.36-1.90, p < 0.001). High heterogenicity was found for fatigue, brain fog, and anxiety due to the diverse methodologies employed in the studies.

CONCLUSION

Our findings suggest that women are at a higher risk for long-COVID neurological symptoms, including fatigue, headaches, brain fog, depression, and anosmia, compared to men. The prevalence of these symptoms decreases after 1 year, based on limited data from the small number of studies available beyond this period.

Social impact of brain fog and analysis of risk factors: Long COVID in Japanese population

OBJECTIVE

To reveal the clinical features and assess risk factors linked to brain fog and its societal implications, including labor productivity, providing valuable insights for the future care of individuals who have experienced coronavirus disease 2019 (COVID-19).

METHODS

We analyzed a comprehensive cohort dataset comprising 1,009 patients with COVID-19 admitted to Japanese hospitals. To assess brain fog, we analyzed patients who responded to a questionnaire indicating symptoms such as memory impairment and poor concentration.

RESULTS

The prevalence of brain fog symptoms decreased 3 months posthospitalization but remained stable up to 12 months. Neurological symptoms such as taste and smell disorders and numbness at hospitalization correlated with a higher frequency of identifying brain fog as a long COVID manifestation. Our findings indicated that advanced age, female sex, a high body mass index, oxygen required during hospitalization, chronic obstructive pulmonary disease, asthma, and elevated C-reactive protein and elevated D-dimer levels were risk factors in patients exhibiting brain fog. Additionally, we demonstrated the negative impact of brain fog on labor productivity by presenteeism scores.

INTERPRETATIONS

This study clarified the clinical characteristics of patients experiencing brain fog as a long COVID manifestation, specifically emphasizing neurological symptoms during hospitalization and their correlation with brain fog. Additionally, the study identified associated risk factors for its onset and revealed that the emergence of brain fog was linked to a decline in labor productivity.

One-year post-acute COVID-19 syndrome and mortality in South Korea: a nationwide matched cohort study using claims data

Background

Current understanding of post-COVID-19 syndrome in South Korea is primarily based on survey studies or research targeting specific patient groups, such as those hospitalized. Moreover, the majority of relevant studies have been conducted in European and North American populations, which may limit their applicability to the South Korean context. To address this gap, our study explores the one-year outcomes of COVID-19, focusing on the potential post-acute syndrome and all-cause mortality in South Korea.

Methods

This retrospective cohort study used nationwide claims data in South Korea, including adults aged >18 with records between January 20, 2020, and February 25, 2021. Patients were classified into COVID-19 and non-COVID-19 groups and matched 1:1 based on propensity scores. Primary outcomes were 12-month post-acute COVID-19 syndrome and all-cause mortality.

Results

The study involved 34,802 matched patients. The COVID-19 group had significantly elevated risks of coagulopathies (OR = 2.70 [2.24, 3.28]; p < 0.001), chronic lower respiratory diseases (OR = 1.96 [1.80, 2.14]; p < 0.001), symptoms of the circulatory and respiratory systems (OR = 1.91 [1.80, 2.04]; p < 0.001), mood disorders (OR = 1.67 [1.51, 1.86]; p < 0.001), cardiac diseases (OR = 1.39 [1.21, 1.59]; p < 0.001), and symptoms of cognition, perception, emotional state, and behavior (OR = 1.15 [1.04, 1.27]; p = 0.005). All-cause mortality was higher in the COVID-19 group during the 6 months (OR = 1.34 [1.06, 1.69]; p = 0.015), but gradually decreased, reaching an OR of 0.996 ([0.83, 1.19]; p = 0.964) at 1 year.

Conclusion

In South Korea, the 12-month post-acute COVID-19 syndrome includes coagulopathies, respiratory issues, mood disorders, and cardiac diseases. The risk of all-cause mortality post-COVID-19 is heightened for up to 6 months, then significantly decreases and resolves within a year.

Neuropathogenesis of SARS-CoV-2 in human neuronal, microglial and glial cells

Neurological complications, both acute and chronic, are reported commonly in COVID-19 affected individuals. In this context, the understanding of pathogenesis of SARS-CoV-2 in specific cells of central nervous system (CNS) origin is relevant. The present study explores infection biology of a clinical isolate of SARS-CoV-2 in human cell lines of neural origin such as the glioblastoma (U87-MG), neuroblastoma (SHSY5Y) and microglia (C20). Despite showing clear evidence of infection by immunofluorescence with an anti-spike protein antibody, all the three neural cell lines were observed to be highly restrictive to the replication of the infecting virus. While the U87-MG glioblastoma cells demonstrated no cytopathic effects and a low viral titre with no signs of replication, the SHSY5Y neuroblastoma cells exhibited cytopathic effects with bleb formation but no evidence of viable virus. The C20 microglial cells showed neither signs of cytopathic effects nor viable virus. Ultrastructural studies demonstrated intracellular virions in infected neural cells. The presence of lipid droplets in infected SHSY5Y cells suggested an impact on host cell metabolism. The decrease in viral RNA levels over time in all the neural cell lines suggested restricted viral replication. In conclusion, this study highlights the limited susceptibility of neural cells to SARS-CoV-2 infection. This reduced permissibility of neural cell lines to SARS-CoV-2 may point to their inherent lower expression of receptors that support viral entry in addition to the intracellular factors that potently inhibit viral replication. The study findings prompt further investigation into the mechanisms of SARS-CoV-2 infection of neural cells.

Post-COVID syndrome prevalence: a systematic review and meta-analysis

BACKGROUND

Since the Coronavirus disease 2019 (COVID-19) pandemic began, the number of individuals recovering from COVID-19 infection have increased. Post-COVID Syndrome, or PCS, which is defined as signs and symptoms that develop during or after infection in line with COVID-19, continue beyond 12 weeks, and are not explained by an alternative diagnosis, has also gained attention. We systematically reviewed and determined the pooled prevalence estimate of PCS worldwide based on published literature.

METHODS

Relevant articles from the Web of Science, Scopus, PubMed, Cochrane Library, and Ovid MEDLINE databases were screened using a Preferred Reporting Items for Systematic Reviews and Meta-Analyses-guided systematic search process. The included studies were in English, published from January 2020 to April 2024, had overall PCS prevalence as one of the outcomes studied, involved a human population with confirmed COVID-19 diagnosis and undergone assessment at 12 weeks post-COVID infection or beyond. As the primary outcome measured, the pooled prevalence of PCS was estimated from a meta-analysis of the PCS prevalence data extracted from individual studies, which was conducted via the random-effects model. This study has been registered on PROSPERO (CRD42023435280).

RESULTS

Forty eight studies met the eligibility criteria and were included in this review. 16 were accepted for meta-analysis to estimate the pooled prevalence for PCS worldwide, which was 41.79% (95% confidence interval [CI] 39.70-43.88%, I2 = 51%, p = 0.03). Based on different assessment or follow-up timepoints after acute COVID-19 infection, PCS prevalence estimated at ≥ 3rd, ≥ 6th, and ≥ 12th months timepoints were each 45.06% (95% CI: 41.25-48.87%), 41.30% (95% CI: 34.37-48.24%), and 41.32% (95% CI: 39.27-43.37%), respectively. Sex-stratified PCS prevalence was estimated at 47.23% (95% CI: 44.03-50.42%) in male and 52.77% (95% CI: 49.58-55.97%) in female. Based on continental regions, pooled PCS prevalence was estimated at 46.28% (95% CI: 39.53%-53.03%) in Europe, 46.29% (95% CI: 35.82%-56.77%) in America, 49.79% (95% CI: 30.05%-69.54%) in Asia, and 42.41% (95% CI: 0.00%-90.06%) in Australia.

CONCLUSION

The prevalence estimates in this meta-analysis could be used in further comprehensive studies on PCS, which might enable the development of better PCS management plans to reduce the effect of PCS on population health and the related economic burden.

Clinical and Physiological Variables in Patients with Post-COVID-19 Condition and Persistent Fatigue

Background/Objectives: Post-COVID-19 condition can manifest through various symptoms such as dyspnea, cognitive disturbances, and fatigue, with mechanisms related to these symptoms, particularly those related to fatigue, still requiring further clarification. Therefore, our aim was to assess the clinical and physiological variables in patients with post-COVID-19 condition and persistent fatigue. Methods: After one year post-COVID-19 infection, the patients underwent a comprehensive evaluation, including a complete blood count, a metabolic panel, complete spirometry, and assessments of dyspnea, quality of life, anxiety and depression, physical capacity, body composition, muscle strength, comorbidities, and medications. The participants were categorized into two groups: G1-fatigue and G2-non-fatigue. Results: Seventy-seven patients (53% female; 55 ± 11.8 years) were included, 37 in G1 and 40 in G2. As for clinical markers and symptoms of illness, in those with persistent fatigue symptoms, a greater sensation of dyspnea [BDI score: 7.5 (6-9) vs. 12 (9-12), p < 0.001; mMRC score: 1 (1-2) vs. 0 (0-1), p = 0.002], worse quality of life [SGRQ total score: 1404 (1007-1897) vs. 497 (274-985); p < 0.001], higher levels of anxiety [HADS-A score: 8 (5-9) vs. 3 (0.5-4); p < 0.001], and a reduction in peripheral and inspiratory muscle strength [handgrip strength: 34 (28-40) vs. 40 (30-46.5) kgf, p = 0.044; MIP: -81 ± 31 vs. -111 ± 33 mmHg, p < 0.001)] were observed. Conclusions: Those with persistent fatigue exhibited a greater sensation of dyspnea, higher levels of anxiety, reduced peripheral and inspiratory muscle strength, and a greater impairment of quality of life. The severity of fatigue was influenced by the worsening quality of life, heightened anxiety levels, and decreased peripheral muscle strength. Additionally, the worse quality of life was associated with a higher sensation of dyspnea, lower muscle strength, and reduced physical capacity.

Symptom response and episodic disability of long COVID in people with spinal cord injury: A case-control study

BACKGROUND

Spinal cord injury (SCI) is a consequence of significant disability and health issues globally, and long COVID represents the symptoms of neuro-musculoskeletal, cardiovascular and respiratory complications.

PURPOSE

This study aimed to identify the symptom responses and disease burden of long COVID in individuals with spinal cord injury.

METHODS

This case-control study was conducted on patients with SCI residing at a specialised rehabilitation centre in Bangladesh. Forty patients with SCI with and without long COVID symptoms (LCS) were enrolled in this study at a 1:1 ratio according to WHO criteria.

RESULT

Twelve LCS were observed in patients with SCI, including fatigue, musculoskeletal pain, memory loss, headache, respiratory problems, anxiety, depression, insomnia, problem in ADL problem in work, palpitation, and weakness. The predictors of developing long COVID include increasing age (p<0.002), increasing BMI (p<0.03), and longer duration of spinal cord injury (p<0.004). A significant difference (p<0.01) in overall years of healthy life lost due to disability (YLD) for non-long COVID cases was 2.04±0.596 compared to long COVID (LC) cases 1.22±2.09 was observed.

CONCLUSION

Bangladeshi patients of SCI presented 12 long COVID symptoms and have a significant disease burden compared to non long COVID cases.

Long COVID Clusters of Symptoms Persist beyond Two Years after Infection: Insights from the CARDIO COVID 20-21 Registry

Long COVID presents with diverse symptoms after COVID-19. Different clusters of symptoms have been reported; however, their persistence beyond 2 years after COVID-19 remains unclear. In this cohort study, we prospectively evaluated individuals with previous severe COVID-19 presenting with long COVID at a two-year follow-up. We characterized the included patients and performed a cluster analysis of symptoms through multiple correspondence analysis and hierarchical clustering. A total of 199 patients with long COVID were included. The median age was 58 years (48-69), 56% were male, and the median follow-up time since the COVID-19 diagnosis was 26 months (IQR: 25, 27). Three symptom clusters were identified: Cluster 1 is characterized by fatigue, myalgia/arthralgia, a low prevalence of symptoms, and a lack of specific symptoms; Cluster 2 is defined by a high prevalence of fatigue, myalgia/arthralgia, and cardiorespiratory symptoms, including palpitations, shortness of breath, cough, and chest pain; and Cluster 3 is demonstrated a high prevalence of ageusia, anosmia, fatigue, and cardiorespiratory symptoms. Our study reinforces the concept of symptom clustering in long COVID, providing evidence that these clusters may persist beyond two years after a COVID-19 diagnosis. This highlights the chronic and debilitating nature of long COVID and the importance of developing strategies to mitigate symptoms in these patients.

Incidence, Risk, and Clinical Course of New-Onset Diabetes in Long COVID: Protocol for a Systematic Review and Meta-Analysis of Cohort Studies

BACKGROUND

COVID-19, an infectious disease pandemic, affected millions of people globally, resulting in high morbidity and mortality. Causing further concern, significant proportions of COVID-19 survivors endure the lingering health effects of SARS-CoV-2, the pathogen that causes COVID-19. One of the diseases manifesting as a postacute sequela of COVID-19 (also known as "long COVID") is new-onset diabetes.

OBJECTIVE

The aim of this study is to examine the incidence of new-onset diabetes in patients with long COVID and assess the excess risk compared with individuals who tested negative for COVID-19. The study also aims to estimate the population-attributable fraction for COVID-19 as a risk factor for new-onset diabetes in long COVID and investigate the clinical course of new-onset diabetes cases.

METHODS

This is a protocol for a systematic review and meta-analysis. PubMed, MEDLINE, Embase, Scopus, and Web of Science databases will be systematically searched to identify articles published between December 2019 and July 2024. A comprehensive search strategy for each database will be developed using a combination of Medical Subject Headings terms, subject headings, and text words to identify eligible studies. Cohort studies and randomized controlled trials (only control arms) involving patients with COVID-19 of any age, with follow-up data on new-onset diabetes in long COVID, will be considered for inclusion. Controls will comprise individuals who tested negative for COVID-19, with or without other respiratory tract infections. Three independent reviewers (AST, NB, and TT) will perform article selection, data extraction, and quality assessment of the studies. A fourth reviewer (ST) will review the identified studies for final inclusion in the analysis. The random-effects DerSimonian-Laird models will be used to estimate the pooled incidence proportion (%), incidence rate of diabetes (per 1000 person-years), and risk ratio (with 95% CIs) for diabetes incidence.

RESULTS

A total of 1972 articles were identified through the initial search conducted in August 2023. After excluding duplicates, conducting title and abstract screening, and completing full-text reviews, 41 articles were found to be eligible for inclusion. The search will be updated in July 2024. Currently, data extraction is underway, and the meta-analysis is expected to be completed in August 2024. Publication of the study findings is anticipated by the end of 2024.

CONCLUSIONS

The study findings should provide valuable insights to inform both clinical practice and public health policies regarding the effective management of new-onset diabetes in patients with long COVID.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/54853.

Characterizing health-related quality of life and identifying disease predictors among patients suspected of having long COVID: an analysis of COMET-ICE clinical trial data

Introduction

Long COVID affects health-related quality of life (HRQoL). Here, we investigate the extent to which symptoms experienced during the acute phase of COVID-19 are significant predictors of the presence of long COVID at 12 weeks.

Methods

Post-hoc analysis of COMET-ICE trial data, which assessed sotrovimab vs. placebo for treatment of mild-to-moderate COVID-19 among high-risk patients. Patient-reported outcome measures were completed during the trial, including the inFLUenza Patient-Reported Outcome Plus (FLU-PRO Plus), the 12-Item Short Form (SF-12) Hybrid questionnaire, and the Work Productivity and Activity Impairment Questionnaire: General Health (WPAI:GH). COVID-19 symptoms and impacts (measured by the FLU-PRO Plus) and HRQoL (measured by SF-12 Hybrid and WPAI:GH) were compared between the acute phase (Days 1-21 and 29) and long-COVID phase (at Week 12) among patients with and without long COVID based on COMET-ICE data. Subgroups experiencing long COVID were derived using "All," "Returning," and "Persisting" symptomatic definitions. Long-COVID predictors were identified using a multivariate logistic regression model; odds ratios (ORs) and 95% CIs were calculated.

Results

Long-COVID subgroups had significantly higher baseline scores for most FLU-PRO Plus domains and Total Score compared with the non-long-COVID group. WPAI:GH and SF-12 Hybrid scores generally showed significantly more impairment for the long-COVID subgroups at baseline and Week 12 vs. the non-long-COVID group. In the univariate analyses, all FLU-PRO Plus domains were significant predictors of long COVID (all p < 0.05), with the exception of the Sense domain. Older age increased the risk of long COVID (OR 1.02, 95% CI 1.00-1.04, p < 0.05). Non-White patients were significantly less likely to have long COVID by the Returning and Persisting definitions vs. White patients (all p < 0.05). In the multivariate analysis, higher scores for the Nose domain (ORs 3.39-5.60, all p < 0.01) and having COPD (ORs 3.75-6.34, all p < 0.05) were significant long-COVID predictors.

Conclusion

Patients who progressed to long COVID had higher symptom severity during the acute disease phase and showed significantly greater negative impact on HRQoL over an extended time period from initial infection through at least the subsequent 3 months. The FLU-PRO Plus Nose domain and having COPD were significant predictors of long COVID.

Insights into early recovery from Long COVID-results from the German DigiHero Cohort

65 million people worldwide are estimated to suffer from long-term symptoms after their SARS-CoV-2 infection (Long COVID). However, there is still little information about the early recovery among those who initially developed Long COVID, i.e. had symptoms 4-12 weeks after infection but no symptoms after 12 weeks. We aimed to identify associated factors with this early recovery. We used data from SARS-CoV-2-infected individuals from the DigiHero study. Participants provided information about their SARS-CoV-2 infections and symptoms at the time of infection, 4-12 weeks, and more than 12 weeks post-infection. We performed multivariable logistic regression to identify factors associated with early recovery from Long COVID and principal component analysis (PCA) to identify groups among symptoms. 5098 participants reported symptoms at 4-12 weeks after their SARS-CoV-2 infection, of which 2441 (48%) reported no symptoms after 12 weeks. Men, younger participants, individuals with mild course of acute infection, individuals infected with the Omicron variant, and individuals who did not seek medical care in the 4-12 week period after infection had a higher chance of early recovery. In the PCA, we identified four distinct symptom groups. Our results indicate differential risk of continuing symptoms among individuals who developed Long COVID. The identified risk factors are similar to those for the development of Long COVID, so people with these characteristics are at higher risk not only for developing Long COVID, but also for longer persistence of symptoms. Those who sought medical help were also more likely to have persistent symptoms.