Characterizing long COVID in an international cohort: 7 months of symptoms and their impact

Longterm course of neuropsychological symptoms and ME/CFS after SARS-CoV-2-infection: a prospective registry study

A significant proportion of patients after SARS-CoV-2 infection suffer from long-lasting symptoms. Although many different symptoms are described, the majority of patients complains about neuropsychological symptoms. Additionally, a subgroup of patients fulfills diagnostic criteria for ME/CFS. We analyzed a registry of all patients presenting in the out-patients clinic at a German university center. For patients with more than one visit, changes in reported symptoms from first to second visit were analyzed. A total of 1022 patients were included in the study, 411 of them had more than one visit. 95.5% of the patients reported a polysymptomatic disease. At the first visit 31.3% of the patients fulfilled ME/CFS criteria after a median time of 255 days post infection and and at the second visit after a median of 402 days, 19.4% still suffered from ME/CFS. Self-reported fatigue (83.7-72.7%) and concentration impairment (66.2-57.9%) decreased from first to second visit contrasting non-significant changes in the structured screening. A significant proportion of SARS-CoV-2 survivors presenting with ongoing symptoms present with ME/CFS. Although the proportion of subjective reported symptoms and their severity reduce over time, a significant proportion of patients suffer from long-lasting symptoms necessitating new therapeutic concepts.

Temporal trajectories of long-COVID symptoms in adults with 22 months follow-up in a prospective cohort study in Norway

OBJECTIVES

There is a lack of large studies on long-COVID symptoms with symptoms measurements before the onset of COVID-19. Therefore, long-COVID is still poorly defined.

METHODS

The Norwegian COVID-19 Cohort Study is a population-based, open cohort of adult participants (aged 18-96 years) from Norway. From March 27, 2020, participants were recruited through social media, invitations, and nationwide media coverage. Fourteen somatic and cognitive symptoms were assessed at baseline and four follow-ups for up to 22 months. SARS-CoV-2 test status was obtained from a mandatory national registry or from self-report.

RESULTS

After follow-up, 15 737 participants had a SARS-CoV-2-positive test, 67 305 had a negative test, and 37 563 were still untested. Persistent symptoms reported more frequently by positive compared with negative participants one month after infection, were memory problems (3-6 months: adjusted odds ratio (aOR) = 6.8, CI = 5.7-8.1; >18 months: aOR = 9.4, CI = 4.1-22), and concentration problems (3-6 months: aOR = 4.1, CI = 3.5-4.7; >18 months: aOR = 4.4, CI = 2.0-9.7) as well fatigue, dyspnea, anosmia and dysgeusia.

CONCLUSIONS

COVID-19 was associated with cognitive symptoms, anosmia, dysgeusia, dyspnea, and fatigue as well as worsening of overall health up to 22 months after a SARS-CoV-2 test, even when correcting for symptoms before the onset of COVID-19.

Clinical characteristics of female long COVID patients with menstrual symptoms: a retrospective study from a Japanese outpatient clinic

PURPOSE

To elucidate the impact of long COVID on menstruation and mental health, medical records of patients with long COVID were evaluated.

METHODS

Symptoms of long COVID, QOL, mental health, and related endocrine data were compared between two groups with and without menstrual disturbances.

RESULTS

Of 349 female patients who visited our clinic between February 2021 and March 2023, 223 patients with long COVID (aged 18-50 years) were included. Forty-four (19.7%) of the patients had menstrual symptoms associated with long COVID. The patients with menstrual symptoms were older than those without menstrual symptoms (42.5 vs. 38 years). The percentage of patients with menstrual symptoms was higher during the Omicron phase (24%) than during the Preceding (13%) and Delta (12%) phases. Cycle irregularity was the most frequent (in 63.6% of the patients), followed by severe pain (25%), heavy bleeding (20.5%), perimenopausal symptoms (18.2%), and premenstrual syndrome (15.9%). Fatigue and depression were the most frequent complications. Scores for fatigue and for QOL were significantly worse in long COVID patients with menstrual symptoms. Results of endocrine examinations showed significantly increased cortisol levels in patients with menstrual complaints.

CONCLUSION

Long COVID has an impact on menstrual conditions and on QOL related to menstrual conditions.

Measurement of circulating viral antigens post-SARS-CoV-2 infection in a multicohort study

OBJECTIVES

To determine the proportion of individuals with detectable antigen in plasma or serum after SARS-CoV-2 infection and the association of antigen detection with postacute sequelae of COVID-19 (PASC) symptoms.

METHODS

Plasma and serum samples were collected from adults participating in four independent studies at different time points, ranging from several days up to 14 months post-SARS-CoV-2 infection. The primary outcome measure was to quantify SARS-CoV-2 antigens, including the S1 subunit of spike, full-length spike, and nucleocapsid, in participant samples. The presence of 34 commonly reported PASC symptoms during the postacute period was determined from participant surveys or chart reviews of electronic health records.

RESULTS

Of the 1569 samples analysed from 706 individuals infected with SARS-CoV-2, 21% (95% CI, 18-24%) were positive for either S1, spike, or nucleocapsid. Spike was predominantly detected, and the highest proportion of samples was spike positive (20%; 95% CI, 18-22%) between 4 and 7 months postinfection. In total, 578 participants (82%) reported at least one of the 34 PASC symptoms included in our analysis ≥1 month postinfection. Cardiopulmonary, musculoskeletal, and neurologic symptoms had the highest reported prevalence in over half of all participants, and among those participants, 43% (95% CI, 40-45%) on average were antigen-positive. Among the participants who reported no ongoing symptoms (128, 18%), antigen was detected in 28 participants (21%). The presence of antigen was associated with the presence of one or more PASC symptoms, adjusting for sex, age, time postinfection, and cohort (OR, 1.8; 95% CI, 1.4-2.2).

DISCUSSION

The findings of this multicohort study indicate that SARS-CoV-2 antigens can be detected in the blood of a substantial proportion of individuals up to 14 months after infection. While approximately one in five asymptomatic individuals was antigen-positive, roughly half of all individuals reporting ongoing cardiopulmonary, musculoskeletal, and neurologic symptoms were antigen-positive.

The Intestine in Acute and Long COVID: Pathophysiological Insights and Key Lessons

Post-Acute Sequelae of SARS-CoV-2 infection (PASC), commonly known as Long COVID, represents a significant and complex health challenge with a wide range of symptoms affecting multiple organ systems. This review examines the emerging evidence suggesting a critical role of the gut and gut-brain axis in the pathophysiology of Long COVID. It explores how changes in the gut microbiome, disruption of gut barrier integrity, and the persistence of SARS-CoV-2 antigens within the gastrointestinal tract may contribute to the prolonged and varied symptoms seen in Long COVID, including chronic inflammation and neuropsychiatric disturbances. The review also summarizes key insights gained about Long COVID, highlighting its multifactorial nature, which involves immune dysregulation, microvascular damage, and autonomic nervous system dysfunction, with the gut playing a central role in these processes. While progress has been made in understanding these mechanisms, current evidence remains inconclusive. The challenges of establishing causality, standardizing research methodologies, and addressing individual variations in the microbiome are discussed, emphasizing the need for further longitudinal studies and more comprehensive approaches to enhance our understanding of these complex interactions. This review underscores the importance of personalized approaches in developing effective diagnostic and therapeutic strategies for Long COVID, while also acknowledging the significant gaps in our current understanding. Future research should aim to further unravel the complex interplay between the gut and Long COVID, ultimately improving outcomes for those affected by this condition.

A pilot cross-sectional investigation of symptom clusters and associations with patient-reported outcomes in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Post COVID-19 Condition

BACKGROUND

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is associated with long-term disability and poor quality of life (QoL). Cardinal ME/CFS symptoms (including post-exertional malaise, cognitive dysfunction and sleep disturbances) have been observed in Post COVID-19 Condition (PCC). To gain further insight into the potential role of ME/CFS as a post-COVID-19 sequela, this study investigates associations between symptoms and patient-reported outcomes, as well as symptom clusters.

METHODS

Participants included Australian residents aged between 18 and 65 years formally diagnosed with ME/CFS fulfilling the Canadian or International Consensus Criteria or PCC meeting the World Health Organization case definition. Validated, self-administered questionnaires collected participants' sociodemographic and illness characteristics, symptoms, QoL and functional capacity. Associations between symptoms and patient-reported outcomes were investigated with multivariate linear regression models. Hierarchical cluster analysis was performed to identify symptom clusters.

RESULTS

Most people with ME/CFS (pwME/CFS) and people with PCC (pwPCC) were female (n = 48/60, 80.0% and n = 19/30, 63.3%, respectively; p = 0.12). PwME/CFS were significantly younger (x̄=41.75, s = 12.91 years) than pwPCC (x̄=48.13, s =10.05 years; p =0.017). Autonomic symptoms (notably dyspnoea) were associated with poorer scores in most patient-reported outcome domains for both cohorts. None of the four symptom clusters identified were unique to ME/CFS or PCC. Clusters were largely delineated by the presence of gastrointestinal and neurosensory symptoms, illness duration, ME/CFS criteria met and total symptoms.

CONCLUSIONS

Illness duration may explain differences in symptom burden between pwME/CFS and pwPCC. PCC diagnostic criteria must be refined to distinguish pwPCC at risk of long-term ME/CFS-like illness and subsequently deliver necessary care and support.

A nomogram to predict long COVID risk based on pre- and post-infection factors: Results from a cross-sectional study in South China

OBJECTIVES

Long COVID has received much attention as a complex multi-system disease due to its serious impact on quality of life. However, there remains inconsistent results in terms of risk factors, and a prediction model for the accurate prediction of long COVID is still lacking.

STUDY DESIGN

Cross-sectional study.

METHODS

In this retrospective study, a community population from the Futian District of Shenzhen, Guangdong Province, China, were included. Data were collected from September to December 2023 using an electronic questionnaire. Logistic regression analyses were used to identify predictors of long COVID. Pre-infection and post-infection prediction models (with/without post-infection characteristics) were developed, and the C-index was used to evaluate accuracy.

RESULTS

In total, 420 patients infected COVID-19 were included. The prevalence of long COVID was 32.9 %. The most common symptoms of long COVID were weakness/fatigue, persistent cough and cognitive dysfunction. Independent predictors of long COVID included in the pre-infection model were age, long-term medication, and psychological problems such as stress and doing things without enthusiasm/interest before COVID-19 infection (C-index: 0.721). Independent predictors included in the post-infection model were age, inability to concentrate before COVID-19 infection, and symptoms of weakness/fatigue, abnormal smell/taste, diarrhoea, eye conjunctivitis and headache/dizziness during the acute-phase (C-index: 0.857).

CONCLUSIONS

Age, psychological problems before COVID-19 infection and acute-phase symptoms were important risk factors of long COVID. Results from the pre-infection model provide guidance for non-infected individuals on how to prevent long COVID. Results from the post-infection model can be used to accurately predict individuals who are at high risk of long COVID and help design treatment plans for patients in the acute phase.

The risk factors for long term cardiovascular symptoms in patients after coronavirus disease 2019 infection

INTRODUCTION

Presently, numerous studies have demonstrated that long-term cardiovascular changes after Coronavirus Disease 2019(COVID-19) infection should be considered. The study was aimed to explore the risk factors for post COVID-19 long-term cardiovascular symptoms.

METHODS

This retrospective observational cross-sectional study involved 204 COVID-19 patients who were admitted to Yantaishan Hospital from January 1, 2023 to January 31, 2023. Demographic and laboratory data were collected and compared between patients who experienced post COVID-19 long-term cardiovascular symptoms and those who did not. Logistic regression analysis was used to identify the risk factors associated with the occurrence of post COVID-19 long-term cardiovascular symptoms.

RESULTS

Fifty-two participants presented Post COVID-19 cardiovascular symptoms, while the remaining 152 individuals did not show any such symptoms including chest pain, chest tightness, shortness of breath, palpitations, dyspnea, exercise intolerance, and postural tachycardia syndrome. In comparison to the group without post COVID-19 long-term cardiovascular symptoms, the group with post COVID-19 long-term cardiovascular symptoms exhibited a significantly higher prevalence of anxiety and depression (25.0% vs. 4.6%, p = 0.000), as well as significantly elevated C-reactive protein (42.3 mg/L vs. 20.3 mg/L, p = 0.014) and D-dimer (0.3 mg/L vs. 0.22 mg/L, p = 0.024). Anxiety and depression (odds ratio [OR] = 6.403, 95% confidence interval [CI]:2.180-18.809, p = 0.001), C-reactive protein (OR = 1.009, 95%CI:1.003-1.015, p = 0.006), D-dimer (OR = 1.455, 95%CI:1.004-2.109, p = 0.048), and LDL-C (OR = 1.780, 95%CI:1.043-3.040, p = 0.035) were identified as independent risk factors for post COVID-19 long-term cardiovascular symptoms.

CONCLUSION

Anxiety and depression, C-reactive protein, D-dimer, and LDL-C levels are associated with the development of post COVID-19 long-term cardiovascular symptoms.

Evaluation of the long-term effects of COVID-19 on pulmonary functions in recovered patients

Background

It is documented that COVID-19 survivors have prolonged morbidity and functional impairment for many years. Data regarding post-COVID-19 lung functions is lacking from the Indian population. We aim to evaluate the lung functions in such patients after 3-6 months of hospital discharge.

Methods

In this prospective observational study, patients were assessed 3 to 6 months post-discharge and underwent standardized pulmonary function tests (PFTs) and CT Thorax if required. The following parameters were measured and correlated with the disease severity: Forced Vital Capacity (FVC), Forced Expiratory Volume in the First Second (FEV1), Forced Expiratory Flows at 25 and 75% of FVC (FEF25%-75%), Peak Expiratory Flow (PEF) and FEV1/FVC.

Results

A total of 52 post-COVID-19 patients were enrolled in the study, with a median age of 43 years (78.8% males). 44.2% of patients had mild disease, 26.9% had moderate disease and 23.1% had severe disease at hospital admission. A restrictive pattern was seen in 20.8% of patients. The mean value of FEV1 and FVC decreased as the disease severity increased. FEV1: mild-3.21 ± 0.71, moderate-2.62 ± 0.61 and severe- 2.51 ± 0.72, P = 0.02; FVC: mild-3.69 ± 0.81, moderate-3.04 ± 0.71 and severe- 2.93 ± 0.87, P = 0.02. After adjusting the confounding factors, the mean pulmonary function values were lower in the patients who required oxygen support, with a significant difference in FEV1, FVC, PEF and FEF 25-75% with P values of 0.025, 0.046, 0.028 and 0.007, respectively. 66.67% had abnormal HRCT findings. Age and high LDH were correlated with HRCT abnormality with P values of 0.015 and 0.024. Age >50 years was found to be an independent predictor of the subsequent development of abnormality on the HRCT thorax.

Conclusions

Patients with COVID-19 pneumonia, which required oxygen, especially severe disease at the time of hospitalization, had a higher rate of abnormal spirometry than patients with mild symptoms. Follow-up CT scans obtained within six months of disease onset showed abnormalities in more than half of patients, particularly elderly patients.

Feasibility of an allied health led, workplace delivered Long COVID service for hospital staff: a mixed-methods study

Objective This study aimed to evaluate the feasibility of a workplace-delivered outpatient multidisciplinary service (ReCOV) for staff experiencing post COVID-19 condition ('Long COVID'). Methods A mixed-methods study of staff at a large, tertiary hospital with Long COVID who attended the service was conducted. Participants completed questionnaires to determine baseline symptoms and were offered allied health appointments for up to 12weeks each based on clinical indication. Acceptability, implementation, practicality and limited efficacy were evaluated via one-on-one semi-structured interviews and analysed using inductive thematic analysis. Limited efficacy was evaluated via pre- and post-questionnaires and demand via multidisciplinary utilisation. Results Twenty-three (median age 37 [interquartile range 30-45] years, 52% female) participants were included. Participants had appointments with a median of 4 [3-5] different professions; most commonly exercise physiology (n =19, 83%), occupational therapy (n =17, 74%) and neuropsychology (n =15, 65%). Median time spent on the ReCOV service was 15 [9-19] weeks. Thirteen semi-structured interviews were completed and analysed. Participants valued ReCOV for being a COVID-19 specific, convenient, flexible and multidisciplinary service at their workplace. Participants preferred the service to have been available for longer than 12weeks to achieve further benefits as many participants perceived little change in physical health. Conclusions Attending a multidisciplinary service located at their workplace was feasible for staff to manage post COVID-19 symptoms. Further research is required to confirm the efficacy on patient outcomes.

The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue

This perspective paper explores the untapped potential of artificial intelligence (AI), particularly machine learning-based dimension reduction techniques in multimodal neuroimaging analysis of Long COVID fatigue. The complexity and high dimensionality of neuroimaging data from modalities such as positron emission tomography (PET) and magnetic resonance imaging (MRI) pose significant analytical challenges. Deep neural networks and other machine learning approaches offer powerful tools for managing this complexity and extracting meaningful patterns. The paper discusses current challenges in neuroimaging data analysis, reviews state-of-the-art AI approaches for dimension reduction and multimodal integration, and examines their potential applications in Long COVID research. Key areas of focus include the development of AI-based biomarkers, AI-informed treatment strategies, and personalized medicine approaches. The authors argue that AI-driven multimodal neuroimaging analysis represents a paradigm shift in studying complex brain disorders like Long COVID. While acknowledging technical and ethical challenges, the paper emphasizes the potential of these advanced techniques to uncover new insights into the condition, which might lead to improved diagnostic and therapeutic strategies for those affected by Long COVID fatigue. The broader implications for understanding and treating other complex neurological and psychiatric conditions are also discussed.

Current update on the neurological manifestations of long COVID: more questions than answers

Since the outbreak of the COVID-19 pandemic, there has been a global surge in patients presenting with prolonged or late-onset debilitating sequelae of SARS-CoV-2 infection, colloquially termed long COVID. This narrative review provides an updated synthesis of the latest evidence on the neurological manifestations of long COVID, discussing its clinical phenotypes, underlying pathophysiology, while also presenting the current state of diagnostic and therapeutic approaches. Approximately one-third of COVID-19 survivors experience prolonged neurological sequelae that persist for at least 12-months post-infection, adversely affecting patients' quality of life. Core neurological manifestations comprise fatigue, post-exertional malaise, cognitive impairment, headache, lightheadedness ('brain fog'), sleep disturbances, taste or smell disorders, dysautonomia, anxiety, and depression. Some of these features overlap substantially with those reported in post-intensive-care syndrome, myalgic encephalomyelitis/chronic fatigue syndrome, fibromyalgia, and postural-orthostatic-tachycardia syndrome. Advances in data-driven research utilizing electronic-health-records combined with machine learning and artificial intelligence have propelled the identification of long COVID sub-phenotypes. Furthermore, the evolving definitions reflect the dynamic conceptualization of long COVID in both research and clinical contexts. Although the underlying pathophysiology remains incompletely elucidated, neuroinflammatory responses, endotheliopathy, and metabolic imbalances, rather than direct viral neuroinvasion, are implicated in neurological sequelae. Genetic susceptibility has also emerged as a potential risk factor. While major limitations remain with existing definitions, collaborative strategies to standardize diagnostic approaches are needed. Current therapeutic paradigms advocate for multimodal approaches, integrating pharmacological and non-pharmacological interventions along with comprehensive rehabilitation programs. Although preliminary evidence of therapeutic efficacy has been provided by a number of clinical trials, methodological constraints limit the generalizability of this evidence. Preventive measures, notably vaccination, have proven integral for reducing the global burden of long COVID. Considering the healthcare and socioeconomic repercussions incurred by long COVID worldwide, international collaborative initiatives are warranted to address the remaining challenges in diagnosing and managing patients presenting with neurological sequelae. See also the graphical abstract(Fig. 1).

Pharmacotherapy from Pre-COVID to Post-COVID: Longitudinal Trends and Predictive Indicators for Long COVID Symptoms

BACKGROUND/OBJECTIVES

A significant number of COVID-19 cases experience persistent symptoms after the acute infection phase, a condition known as long COVID or post-acute sequelae of COVID-19. Approved prevention and treatment options for long COVID are currently lacking. Given the heterogeneous nature of long COVID, a personalized medicine approach is essential for effective disease management. This study aimed to describe trends in pharmacotherapy from pre-COVID to post-COVID phases to gain insights into COVID-19 treatment strategies and assess whether pre-COVID pharmacotherapy can predict long COVID symptoms as a health status indicator.

METHODS

In the Precision Medicine for more Oxygen (P4O2) COVID-19 study, 95 long COVID patients were comprehensively evaluated through post-COVID outpatient clinics and study visits. This study focused on descriptive analysis of the pharmacotherapy patterns across different phases: pre-COVID-19, acute COVID, and post-COVID. Furthermore, associations between pre-COVID medication and long COVID outcomes were analyzed with regression analyses.

RESULTS

We observed peaks in the use of certain medications during the acute infection phase, including corticosteroids and antithrombotic agents, with a decrease in the use of renin-angiotensin system inhibitors. Consistently high use of alimentary tract medications was found across all phases. Pre-COVID respiratory medications were associated with fatigue symptoms, while antiinfectives and cardiovascular drugs were linked to fewer persisting long COVID symptom categories.

CONCLUSION

Our findings provide longitudinal, descriptive pharmacotherapy insights and suggest that medication history can be a valuable health status indicator in characterizing patients for personalized disease management strategies, considering the heterogeneous nature of long COVID.

Changing characteristics of post-COVID-19 syndrome: Cross-sectional findings from 458 consultations using the Stanford Hall remote rehabilitation assessment tool

BACKGROUND

In the UK, there have been multiple waves of COVID-19, with a five-tier alert system created to describe the transmission rate and appropriate restrictions. While acute mortality decreased, there continued to be a significant morbidity, with individuals suffering from persistent, life-restricting symptoms for months to years afterwards. A remote rehabilitation tool was created at the Defence Medical Rehabilitation Centre (DMRC) Stanford Hall to assess post-COVID-19 symptoms and their impact on the UK military.This study aims to understand changes in post-COVID-19 syndrome between wave 1 and wave 2, identify interactions between alert level and symptoms and investigate any predictive nature of acute symptoms for postacute symptomology in a young, physically active population.

METHODS

Cross-sectional study of 458 consecutive remote rehabilitation assessments performed at DMRC Stanford Hall between 2 April 2020 and 29 July 2021. Consultations were coded, anonymised, and statistical analysis was performed to determine associations between acute and postacute symptoms, and between symptoms, alert levels and waves.

RESULTS

435 assessments were eligible; 174 in wave 1 and 261 in wave 2. Post-COVID-19 syndrome prevalence reduced from 43% to 2% between the waves. Acutely, widespread pain was more prevalent in wave 2 (p<0.001). Postacutely, there was increased anxiety (p=0.10) in wave 1 and increased sleep disturbance (p<0.001), memory/concentration issues (p<0.001) and shortness of breath/cough (p=0.017) in wave 2. Increasing alert level was associated with increased postacute symptom prevalence (p=0.046), with sleep disturbance increasing at higher alert level (p=0.016). Acute symptoms, including fatigue, sleep disturbance and myalgia, were associated with multiple postacute symptoms.

CONCLUSIONS

This study reports the overall prevalence and symptom burden in the UK military in the first two waves of COVID-19. By reporting differences in COVID-19 in different waves and alert level, this study highlights the importance of careful assessment and contextual understanding of acute and postacute illnesses for individual management plans.

Changes in cerebral glucose metabolism among mild long COVID patients: an [18F]FDG PET/CT study

COVID-19, caused by SARS-CoV-2, presents diverse symptoms, including neurological manifestations. This study investigated COVID-19's neurological sequelae, focusing on the central nervous system's involvement through cerebral glycolytic metabolism assessed via PET/CT. Twenty-two patients with mild long COVID cognitive symptoms and 20 healthy volunteers without cognitive, psychiatric, or neurological impairments and no history of COVID-19 infection underwent cerebral PET/CT scans using [18F]FDG to assess cerebral metabolism. The study meticulously evaluated the uptake of [18F]FDG in various brain regions, employing the CortexID Suite software for quantitative analysis. The analysis focused on identifying areas of hypometabolism and hypermetabolism, indicative of altered glucose metabolism possibly related to COVID-19's neurological impact. No statistically significant differences were found between the mild COVID and healthy groups. Although our sample was too small to generate a statistical difference between groups, future studies should explore some findings, such as hypometabolism in 15 regions and hypermetabolism in 11 regions in the mild COVID group. These changes, especially in areas linked to executive functions, sensory perception, and emotional regulation, suggest nuanced alterations in brain function. Our study did not find significant glycolytic metabolic changes in patients with mild long COVID. However, areas of glycolytic hypometabolism and hypermetabolism found in some patients showed biological plausibility with the cognitive and affective symptoms they presented. Future investigations with a larger sample size should be correlated with neuropsychological and neuropsychiatric examinations to confirm this relationship.

Infection-associated chronic conditions: Why Long Covid is our best chance to untangle Osler's web

The recognition of Long Covid has renewed efforts to understand other infection-associated chronic conditions (IACCs). Here, we describe how studies of Long Covid and other IACCs might inform one another. We argue for the importance of a coordinated research agenda addressing these debilitating illnesses.

A Narrative Review of Impact of Incentive Spirometer Respiratory Training in Long COVID

Long COVID refers to symptoms that appear 3 months after initial infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative virus of Coronavirus disease 2019 (COVID-19), and last for at least 2 months, not attributable to other diagnoses. This health issue significantly burdens patients' quality of life, the economy, and society. Improving the af-termath of COVID-19 is a crucial global health issue in the post-pandemic era. According to current results, it is evident that developing a simple, low-cost respiratory training method that can be easily used at home by themselves with long Coronavirus disease 2019 symptoms (long COVID) is an important and urgent issue. The incentive spirometer is widely used in physical, speech, and respiratory therapy, as well as in preventing postoperative pulmonary infections and improving sputum clearance. However, to date, the role of incentive spirometer respiratory training in long COVID symptoms is still limited. In this literature review is presented to explore the effectiveness of incentive spirometer respiratory training in alleviating symptoms among individuals recovering from long COVID. We also compile non-invasive assessment methods, with the aim to enable individuals to undergo training and assessments conveniently at home or in the community. In this review, a literature review approach was utilized to explore the effectiveness of incentive spirometer intervention in alleviating long-term COVID symptoms. This study is to synthesize the findings of articles published during January 2019 and December 2023 retrieved from PubMed/CINAHL/MEDLINE/ Google Scholar without re-strictions on study type. We ultimately identified seven articles and have summarized similar past studies. This review could contribute to improving symptoms related to long COVID by incentive spirometer respiratory training and serve as practical reference material for clinical medical staff and provide insights for healthcare policymakers in de-veloping guidelines for future research directions, clinical guidance, and educational strategies in the context of nursing care.

Translating insights into therapies for Long Covid

Long Covid is defined by a wide range of symptoms that persist after the acute phase of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Commonly reported symptoms include fatigue, weakness, postexertional malaise, and cognitive dysfunction, with many other symptoms reported. Symptom range, duration, and severity are highly variable and partially overlap with symptoms of myalgic encephalomyelitis/chronic fatigue syndrome and other post-acute infectious syndromes, highlighting opportunities to define shared mechanisms of pathogenesis. Potential mechanisms of Long Covid are diverse, including persistence of viral reservoirs, dysregulated immune responses, direct viral damage of tissues targeted by SARS-CoV-2, inflammation driven by reactivation of latent viral infections, vascular endothelium activation or dysfunction, and subsequent thromboinflammation, autoimmunity, metabolic derangements, microglial activation, and microbiota dysbiosis. The heterogeneity of symptoms and baseline characteristics of people with Long Covid, as well as the varying states of immunity and therapies given at the time of acute infection, have made etiologies of Long Covid difficult to determine. Here, we examine progress on preclinical models for Long Covid and review progress being made in clinical trials, highlighting the need for large human studies and further development of models to better understand Long Covid. Such studies will inform clinical trials that will define treatments to benefit those living with this condition.

Post-SARS-CoV-2 Onset Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Symptoms in Two Cohort Studies of COVID-19 Recovery

Objective

To determine how many people with long COVID also meet diagnostic criteria for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Methods

We identified which participants with long COVID also met the Institute of Medicine (IOM) or the 2003 Canadian Consensus Criteria (CCC) for ME/CFS at approximately 6-8 months post-SARS-CoV-2 infection in two cohorts: (1) the JHU COVID Recovery cohort, which enrolled participants within 4 weeks of infection and (2) the Long-term Impact of Infection with Novel Coronavirus (LIINC) cohort, which enriched for participants with long COVID. Neither study administered ME/CFS-specific surveys, so available data elements were mapped onto each ME/CFS diagnostic criteria.

Results

Of 97 JHU participants with long COVID, 5 met IOM criteria and 2 met CCC criteria. Of 281 LIINC participants with long COVID, 51 met the IOM criteria and 29 met the CCC criteria. In LIINC, participants with long COVID meeting ME/CFS criteria were more likely to be female and report a greater number of post-COVID symptoms (p<0.001).

Conclusions

The co-occurrence of ME/CFS symptoms and long COVID suggests that SARS-CoV-2 is a cause of ME/CFS. ME/CFS-specific measures should be incorporated into studies of post-acute COVID-19 to advance studies of post-SARS-CoV-2 onset ME/CFS.

Prevalence and prognosis of tinnitus in post-COVID-19 patients: a cross-sectional survey

Recent developments have indicated a potential association between tinnitus and COVID-19. The study aimed to understand tinnitus following COVID-19 by examining its severity, recovery prospects, and connection to other lasting COVID-19 effects. Involving 1331 former COVID-19 patients, the online survey assessed tinnitus severity, cognitive issues, and medical background. Of the participants, 27.9% reported tinnitus after infection. Findings showed that as tinnitus severity increased, the chances of natural recovery fell, with more individuals experiencing ongoing symptoms (p < 0.001). Those with the Grade II mild tinnitus (OR = 3.68; CI = 1.89-7.32; p = 0.002), Grade III tinnitus (OR = 3.70; CI = 1.94-7.22; p < 0.001), Grade IV (OR = 6.83; CI = 3.73-12.91; p < 0.001), and a history of tinnitus (OR = 1.96; CI = 1.08-3.64; p = 0.03) had poorer recovery outcomes. Grade IV cases were most common (33.2%), and severe tinnitus was strongly associated with the risk of developing long-term hearing loss, anxiety, and emotional disorders (p < 0.001). The study concludes that severe post-COVID tinnitus correlates with a worse prognosis and potential hearing loss, suggesting the need for attentive treatment and management of severe cases.

"A bit of a cough, tired, not very resilient - is that already Long-COVID?" perceptions and experiences of GPs with Long-COVID in year three of the pandemic. a qualitative interview study in Austria

BACKGROUND

Long-COVID is a new multisectoral healthcare challenge. This study aims at understanding experiences, knowledge, attitudes and (information) needs that GPs had and have in relation to Long-COVID and how these evolved since the beginning of the COVID-19 pandemic.

METHODS

The study used an exploratory qualitative research design using semistructured interviews. A total of 30 semistructured interviews with GPs in different primary care settings (single practices, group practices, primary care centres) were conducted between February and July 2022. The data were analysed using qualitative thematic content analysis with the software Atlas.ti.

RESULTS

This is the first study that empirically investigated Long-COVID management by GPs in Austria during the third year of the pandemic. All GPs indicated having experience with Long-COVID. In cities, GPs tended to have slightly better networks with specialists. The GPs who already worked in teams tended to find the management of Long-COVID easier. The symptoms that the physicians described as Long-COVID symptoms corresponded to those described in the international literature, but it is unclear whether syndromes and symptomes such as Post-Exertional-Malaise, autonomic dysfunction such as postural tachycardia syndrome or Mast-Cell-Overactivation-Syndrom, and cognitive dysfunctions were also recognized and correctly classified since they were never mentioned. Most GPs reacted quickly by granting the needed sick leaves and by seeing and discussing with the patients often.The treatment of the patients is described as an enormous challenge and frustrating for patient and GP if the treatment does not yield to significantly improved health also due to the high costs for the patient.

CONCLUSION

Long-COVID will continue to preoccupy our health care systems for a long time to come, as new variants of COVID-19 will continue to produce new patients without adequate prevention strategies. Therefore, it is not a question of if but when good support for GPs and adequate care pathways for people with Long-COVID will be implemented. Specific contact points that are familiar with therapy-refractory postacute infection syndromes like the postacute COVID condition as a subgroup of Long-COVID are urgently needed.

Factors influencing the course of post-COVID-19-related symptoms: A bidirectional cohort study among employees in health and welfare services in Germany

Objective

The aim of this study was to determine the prevalence and trajectory of persistent symptoms following COVID-19 and to investigate factors influencing these among employees in the health and welfare services in Germany.

Methods

This exploratory, mixed retro- and prospective cohort study using paper-and-pencil questionnaires was conducted among insured persons of the German Social Accident Insurance Institution for the health and welfare services with a SARS-CoV-2 infection in 2020. The baseline survey in February 2021 was succeeded by two follow-up surveys after 8 and 13 months. Demographic data, information on the acute illness and persistent symptoms were collected. Kaplan-Meier curves were created to visualize the course of recovery. Factors influencing the time to recovery were analyzed using multivariate Cox regressions.

Results

Of the 4,325 people contacted, 2,053 took part in the survey (response rate: 47%). 1,810 people were included in the analysis. The most common persistent symptoms at all three survey time points were fatigue, concentration and memory problems, and dyspnea. After three months, 76.2% (95% CI: 74.2-78.2%) of participants still reported symptoms, after 18 months this dropped to 67.2% (95% CI: 65.0-69.4%). Significant risk factors for persistent symptoms were female sex (HR: 0.72; 95% CI: 0.58-0.88), age over 50 years (HR: 0.63; 95% CI: 0.50-0.78), a higher number of pre-existing illnesses and a higher number of severe acute symptoms. Respiratory and hormone-metabolic pre-existing conditions as well as severe dyspnea, smell or taste disorders, fatigue and memory or concentration problems during the acute COVID-19 illness also reduced the probability of complete recovery. Compared to other professions, working as a doctor had a protective effect (HR: 1.42; 95% CI: 1.11-1.80).

Conclusion

More than a year after a COVID-19 illness, two-thirds of the healthcare staff surveyed reported persistent symptoms. This high number emphasizes the importance of long-term consequences of the COVID-19 pandemic for public health and the need for suitable therapy and rehabilitation concepts, especially for healthcare staff with post-COVID syndrome.

Perceptions of Long COVID Patients Regarding Health Assistance: Insights from a Qualitative Study in Spain

OBJECTIVE

This study investigates the perceptions of Long COVID patients in Spain regarding the healthcare they receive to identify demands and areas for improvement.

METHODS

Using a qualitative descriptive phenomenological approach, the study included 27 participants selected through non-probabilistic convenience sampling. Data were collected via online semi-structured interviews and analyzed using thematic analysis.

RESULTS

The findings reveal three key themes: (i) health status and challenges in healthcare during the initial COVID-19 infection; (ii) perceptions about healthcare as Long COVID patients; and (iii) demand for and aspects of improving quality of healthcare. The participants, predominantly women (66.67%) with a median age of 51 years, experienced symptoms that they generally perceived as severe, although only 14.81% required hospitalization. The participants reported initial self-management of symptoms at home, which was influenced by familial responsibilities and hospital overcrowding, and the persistence of a wide range of Long COVID symptoms that significantly impacted their daily lives. Satisfaction with healthcare services varied, with frustrations over systemic inefficiencies and long waiting times.

CONCLUSIONS

The study highlights the need for timely access to medical care, comprehensive and empathetic healthcare services, and specialized Long COVID units. The results emphasize the importance of patient-centered approaches and multidisciplinary care to address the complex nature of Long COVID effectively. These findings provide crucial insights for improving healthcare protocols and systems to better support Long COVID patients. This study was prospectively registered with the Ethics Committee for Research on Medicines of the Albacete Integrated Health Care Management System (registry) on 22 February 2022 with registration number 2022/001.

Neurodevelopment in the First 2 Years of Life Following Prenatal Exposure to Maternal SARS-CoV-2 Infection

Importance

The effects of prenatal exposure to SARS-CoV-2 infection on child development throughout the first 2 years of life are unknown.

Objective

To evaluate whether prenatal exposure to SARS-CoV-2 infection was associated with child neurodevelopmental outcomes during the first 2 years of life.

Design, Setting, and Participants

This cohort study used data from the longitudinal, population-based pan-Canadian Pregnancy During the COVID-19 Pandemic cohort, which recruited participants from April 2020 to July 2022. Children were categorized as exposed to prenatal SARS-CoV-2 infection if their birthing parent had a positive polymerase chain reaction test performed by a health authority or as a healthy negative comparison if their birthing parent did not have SARS-CoV-2 antibodies in their postpartum dried blood spot sample.

Exposure

Prenatal SARS-CoV-2 infection.

Main Outcomes and Measures

The birthing parent reported on their child's temperament at ages 6 and 24 months, developmental milestones at ages 12 and 24 months, and social-emotional milestones at ages 12 and 24 months.

Results

A total of 896 children were included, with 96 children who had been exposed to a prenatal SARS-CoV-2 infection (mean [SD] gestational age at birth, 39.20 [1.50] weeks; 45 [47%] male) and 800 were healthy negative comparisons (mean [SD] gestational age at birth, 39.47 [1.54] weeks; 388 [49%] male). In analyses of covariance adjusted for prepregnancy medical conditions and household socioeconomic status, prenatal exposure to SARS CoV-2 infection was associated with slightly higher regulatory control scores, indicating more regulation, at age 6 months (difference in means, 0.19 [95% CI, 0.02-0.36]; P = .03; ηp2 = 0.01). No significant differences were observed for the other neurodevelopmental outcomes. In mixed models adjusted for the same covariates that aimed to examine change in outcomes over time, prenatal SARS-CoV-2 infection exposure was not associated with developmental change in any neurodevelopmental outcomes between ages 6 and 24 months.

Conclusions and Relevance

In this longitudinal cohort study of multiple aspects of child neurodevelopment between ages 6 and 24 months, negligible associations between prenatal exposure to SARS-CoV-2 infection and child outcomes were observed. Follow-up research is warranted to determine whether these predominantly null effects persist into later childhood.

Persistent symptoms after COVID-19: an Australian stratified random health survey on long COVID

OBJECTIVE

To determine the impact of persistent symptoms after coronavirus disease 2019 (COVID-19) in an Australian population.

DESIGN, SETTING, PARTICIPANTS

We conducted a statewide health survey of a stratified random sample of adults who had had a confirmed acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (COVID-19-positive group) and their close contacts (control group). The sample was drawn from Victoria's COVID-19 database between January 2020 and October 2022. Data were collected from 12 688 survey respondents between September 2022 and April 2023 (11 174 in the COVID-19-positive group and 1514 in the control group).

MAIN OUTCOME MEASURES

Persistent new symptoms, recovery, and daily function using validated questionnaires for fatigue, neurocognitive symptoms, anxiety, depression and quality of life.

RESULTS

At a mean of 12.6 months after infection, 4560 respondents in the COVID-19-positive group (39.1%; 95% CI, 37.9-40.3%) reported at least one persistent new symptom, compared with 216 respondents in the control group (20.8%; 95% CI, 18.5-23.1%). A total of 1656 respondents (14.2%; 95% CI, 13.4-15.0%) were classified as having clinical long COVID using the criteria of at least one persistent new symptom and less than 80% recovery three months after the infection. Of the respondents with clinical long COVID, 535 (3.2%; 95% CI, 2.6-3.8%) reported at least moderate problems with usual activities at 12 months after their infection. The proportion of respondents with clinical long COVID was lower for those with more recent infections. The risk factors for clinical long COVID were female sex, age 40-49 years, infection severity, chronic illness, and past anxiety or depression. Factors associated with a decreased risk of having clinical long COVID included infection when the Omicron strain was dominant and infection when the Delta strain was dominant, as compared with when the ancestral strain of the virus was dominant.

CONCLUSION

Persistent symptoms after COVID-19 are common, though with a lower incidence following infection from less virulent strains. Although long COVID can be largely managed in primary care, a minority of people who have persistent symptoms and impaired function may require specialist care pathways, the effectiveness of which should be a focus of future research.

Presence of COVID-19 self-reported symptoms at 12 months in patients discharged from hospital in 2020-2021: a Spanish cross-sectional study

The long-term effects of SARS-CoV-2 infection, and their determinants, are still unknown. This study aimed to assess symptoms one year after admission for COVID-19, according to the organ/system involved, and to identify factors. Cross-sectional study with retrospective data collection from March 2020 to February 2021. Inclusion criteria: aged ≥ 18 years and admitted for COVID-19. Exclusion criteria: death, not localized, refusal to participate, cognitive impairment or language barrier. A telephone survey was conducted on long COVID-related symptoms one year after hospital discharge. n = 486. The most frequent symptom groups were neurological (n = 225; 46.3%) and respiratory (n = 201; 41.4%). Multivariable analysis showed that a history of anxiety was significantly associated with psychiatric symptoms (ORa = 2.04, 95%CI = 1.02-4.06), fibromyalgia/chronic fatigue with general symptoms (ORa = 11.59, 95%CI = 1.47-9.34) and obesity with respiratory (ORa 1.90, 95%CI = 1.27-2.83) and musculoskeletal symptoms (ORa 1.96, 95%CI = 1.30-2.96). Male sex was associated with a significantly lower risk of neurological (ORa 0.64, 95%CI = 0.44-0.93), respiratory (ORa 0.45, 95%CI = 0.31-0.67), general (ORa 0.43, 95%CI = 0.29-0.63), psychiatric (ORa 0.34, 95%CI = 0.22-0.51), musculoskeletal (ORa 0.47, 95%CI = 0.32-0.70), dermatological (ORa 0.24, 95%CI = 0.14-0.42) and digestive (ORa 0.38, 95%CI = 0.20-0.73) symptoms. Advanced age (≥ 71 years) also had a protective effect against general (ORa 0.60, 95%CI = 0.39-0.95), psychiatric (ORa 0.39, 95%CI = 0.23-0.64), and dermatological (ORa 0.47, 95%CI = 0.24-0.92) symptoms. Patients admitted for SARS-CoV-2 infection frequently experience symptoms at one year, especially neurological and respiratory symptoms. Female sex, obesity, a history of anxiety and fibromyalgia/chronic fatigue were independent risk factors for presenting symptoms. Advanced age acted as a protective factor.

Long COVID Following Mild SARS-CoV-2 Infection: A Retrospective Study in a Portuguese Primary Health Care Unit

INTRODUCTION

Long COVID is a recent pathological entity. Its manifestations and impact on health and quality of life and, on a larger scale, at an economic and social level may be very significant, reflecting a challenge for the future. The family doctor plays a major role in the care of these patients and must be aware of this new reality. With this study, we aim to determine the prevalence of long COVID in the adult population registered in a Portuguese Primary Healthcare Unit, called USF Amatus, and identify the most frequent symptoms, its duration, and impact on the quality of life of individuals.

METHODS

This is a retrospective study based on the analysis of the national database of COVID-19 (Trace COVID-19), selecting patients ≥ 18 years old registered in USF Amatus, diagnosed with mild COVID-19, in the period between March 2020 and March 2022. The selected patients were submitted to a telephone interview to fill a questionnaire adapted from the World Health Organization "Report Form for Post COVID Condition" to the Portuguese population by the Directorate-General of Health (DGS). The collected data were analyzed using statistical software (R Development Core Team; Vienna, Austria) and the package "ggplot2".

RESULTS

A total sample of 334 (56% female) was recruited for this study. The prevalence of long COVID was found to be 145 (43.4%) cases in the near months (≥ 3 months) following COVID-19 and 57 (17.1%) cases after two years. The most frequently reported symptoms were fatigue, persistent muscle pain, post-exercise malaise, memory loss, leg/arm weakness, and dizziness/lightheadedness. About 58 (17.4%) patients reported that their self-care capacity became worse after COVID-19. In the further evaluation of functional status, 56 (16.8%) patients reported that walking a distance of at least 1 km is more difficult nowadays, and 29 (8.7%) reported that performing household tasks became harder.

CONCLUSION

This study demonstrates the relevance of long COVID. The findings reveal a significant prevalence of symptomatic patients even two years after the infection with SARS-CoV-2. The most commonly reported symptom was fatigue. Other prevalent symptoms were neurocognitive, muscular, and physical exercise intolerance. It is also important to mention the relevant impact of long COVID on the quality of life of these patients. Further research is needed in order to better understand long COVID and, consequently, develop more directed and effective interventions for these patients, contributing to their well-being at an individual, familial, and social level.

Long COVID facts and findings: a large-scale online survey in 74,075 Chinese participants

Background

Research on long COVID in China is limited, particularly in terms of large-sample epidemiological data and the effects of recent SARS-CoV-2 sub-variants. China provides an ideal study environment owing to its large infection base, high vaccine coverage, and stringent pre-pandemic measures.

Methods

This retrospective study used an online questionnaire to investigate SARS-CoV-2 infection status and long COVID symptoms among 74,075 Chinese residents over one year. The relationships between baseline characteristics, vaccination status, pathogenic infection, and long COVID were analyzed using multinomial logistic regression, and propensity matching.

Findings

Analysis of 68,200 valid responses revealed that the most frequent long COVID symptoms include fatigue (30.53%), memory decline (27.93%), decreased exercise ability (18.29%), and brain fog (16.87%). These symptoms were less prevalent among those infected only once: fatigue (24.85%), memory decline (18.11%), and decreased exercise ability (12.52%), etc. Women were more likely to experience long COVID, with symptoms varying by age group, except for sleep disorders and muscle/joint pain, which were more common in older individuals. Northern China exhibits a higher prevalence of long COVID, potentially linked to temperature gradients. Risk factors included underlying diseases, alcohol consumption, smoking, and the severity of acute infection (OR > 1, FDR < 0.05). Reinfection was associated with milder symptoms but led to a higher incidence and severity of long COVID (OR > 1, FDR < 0.05). Vaccination, particularly multiple boosters, significantly reduced long-term symptoms by 30%-70% (OR < 1, FDR < 0.05). COVID-19 participants also self-reported more bacterial, influenza and mycoplasma infections, and 8%-10% of patients felt SARS-CoV-2-induced chronic diseases.

Interpretation

This survey provides valuable insights into long COVID situation among Chinese residents, with 10%-30% (including repeated infection) reporting symptoms. Monitoring at-risk individuals based on identified risk factors is essential for public health efforts.

Funding

This study was funded by the China Postdoctoral Science Foundation (2022M723344, 2023M743729), Guangdong Basic and Applied Basic Research Foundation (2023A1515110489), and the Bill & Melinda Gates Foundation (INV-027420).

Prevalence and measurement of post-exertional malaise in post-acute COVID-19 syndrome: A systematic review and meta-analysis

OBJECTIVE

Post-exertional malaise (PEM) is a common and debilitating symptom of post-acute COVID-19 syndrome (PACS), and it is also included in the core outcome set for PACS. Our aims are to determine the prevalence of PEM in patients with PACS, and to review the measurement tools utilized in studies assessing PEM among these patients.

METHODS

A systematic literature search was conducted up to 29 February 2024 across four databases: PubMed, EMBASE, Web of Science, and Cochrane Library. Studies were included if they evaluated PACS individuals who had at least one persistent symptom, with the mean or median follow-up duration of at least 3 months after COVID-19 diagnosis or hospital discharge, and specially reported on PEM or any measurement tools utilized to assess PEM. Data extraction and quality assessment were performed independently by two authors.

RESULTS

After screening 953 articles, 12 studies comprising 2665 patients were included in the meta-analysis, and 16 studies were included in the narrative review. The pooled prevalence of PEM among PACS patients at 3 months or more after COVID-19 diagnosis was 0.55 (95 % CI, 0.38, 0.71). Moreover, narrative review identified seven questionnaires used to assess PEM in PACS individuals, with the DePaul Symptom Questionnaire-Post Exertional Malaise (DSQ-PEM) being the most frequently utilized instrument.

CONCLUSION

Our findings indicate that over half of the PACS individuals experience PEM, and seven questionnaires have been identified for researchers to assess PEM. It is imperative to develop effective intervention strategies to treat and alleviate the burden of PEM.

Protocol for a pilot study: Feasibility of a web-based platform to improve nutrition, mindfulness, and physical function in people living with Post COVID-19 condition (BLEND)

Individuals with Post COVID-19 condition (PCC), or long COVID, experience symptoms such as fatigue, muscle weakness, and psychological distress, including anxiety, depression, or sleep disorders that persist after recovery from COVID-19. These ongoing symptoms significantly compromise quality of life and diminish functional capacity and independence. Multimodal digital interventions targeting behavioural factors such as nutrition and mindfulness have shown promise in improving health outcomes of people with chronic health conditions and may be beneficial for those with PCC. The BLEND study (weB-based pLatform to improve nutrition, mindfulnEss, and physical function, in patients with loNg COVID) study is an 8-week pilot randomized controlled trial evaluating the feasibility of a digital wellness platform compared to usual care among individuals with PCC. The web-based wellness platform employed in this study, My Viva Plan (MVP)®, integrates a holistic, multicomponent approach to promote wellness. The intervention group receives access to the digital health platform for 8 weeks with encouragement for frequent interactions to improve dietary intake and mindfulness. The control group receives general content focusing on improvements in dietary intake and mindfulness. Assessments are conducted at baseline and week 8. The primary outcome is the feasibility of platform use. Secondary and exploratory outcomes include a between-group comparison of changes in body composition, nutritional status, quality of life, mindfulness, physical activity, and physical performance after 8 weeks. Findings of this study will inform the development of effective web-based wellness programs tailored for individuals with PCC to promote sustainable behavioural changes and improved health outcomes.

Neuroinflammation in Post COVID-19 Sequelae: Neuroinvasion and Neuroimmune Crosstalk

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in December 2019 triggered a swift global spread, leading to a devastating pandemic. Alarmingly, approximately one in four individuals diagnosed with coronavirus disease 2019 (COVID-19) experience varying degrees of cognitive impairment, raising concerns about a potential increase in neurological sequelae cases. Neuroinflammation seems to be the key pathophysiological hallmark linking mild respiratory COVID-19 to cognitive impairment, fatigue, and neurological sequelae in COVID-19 patients, highlighting the interaction between the nervous and immune systems following SARS-CoV-2 infection. Several hypotheses have been proposed to explain how the virus disrupts physiological pathways to trigger inflammation within the CNS, potentially leading to neuronal damage. These include neuroinvasion, systemic inflammation, disruption of the lung and gut-brain axes, and reactivation of latent viruses. This review explores the potential origins of neuroinflammation and the underlying neuroimmune cross-talk, highlighting important unanswered questions in the field. Addressing these fundamental issues could enhance our understanding of the virus's impact on the CNS and inform strategies to mitigate its detrimental effects.

[Mechanisms of prolonged symptoms following acute COVID-19: Some pathophysiological pathways]

INTRODUCTION

Following the Omicron wave in early 2022, an estimated 60-70% of the French population was infected with the SARS-CoV-2 virus. One out of ten infected subjects could have persistent symptoms three months after infection, representing a public health challenge.

CURRENT STATE OF KNOWLEDGE

The persistent symptoms may be secondary to diverse entities with distinct mechanisms. While organic infection sequelae occur mainly after severe COVID-19, some symptoms appear to be essentially psychological in origin; in addition, many subjects present stereotyped symptoms of fluctuating intensity with no identified anatomical or psychic substratum, often in the aftermath of a benign infection. The most frequent complaints are fatigue, pain, dyspnea and difficulty concentrating.

PERSPECTIVES

The hypotheses explored to explain these symptoms include: persistent immune dysfunction, inducted autoimmunity, and microbiome disturbances. Persistent viral antigens may lie at the crossroads of these mechanisms. To date, these different etiological avenues have yet to lead to the development of diagnostic tests or specific therapeutic strategies.

CONCLUSION

Prolonged symptoms after COVID-19 correspond to heterogeneous nosological entities with poorly understood mechanisms.

Describing the Lived Experience and Resource Needs of Individuals With Long COVID

Individuals with long COVID report diverse symptoms lasting weeks or months after initial infection, causing significant psychosocial distress. Navigating health care interactions are often difficult for these individuals due to the diffuse nature of their symptoms, a lack of effective treatment options, and skepticism from some providers. To better understand these challenges, this study sought to further describe the lived experience of individuals with long COVID. A survey was conducted with individuals evaluated for long COVID at a specialty clinic (n = 200), which included questions about prior conditions, symptoms, use of medical and support services, and information and resource needs. Participants reported a mean of 10.75 persistent symptoms, the most common being fatigue and difficulty concentrating, with broad effects on daily functioning. Participants saw a mean of 5.92 providers for treatment of their symptoms, and 88.5% identified health care providers as a trusted source of information. Interest in research findings (60.5%) and opportunities for participation (47.5%) were moderate and varied by COVID vaccination status. Unvaccinated individuals (n = 27) also reported less trust in government sources of information, less college education, lower household income, and greater likelihood of having public insurance. Our findings suggest that individuals with long COVID experience many ongoing and complex symptoms with diverse effects on daily living; that health care providers are an important source for public health messaging about long COVID; and that unvaccinated individuals are likely to have differing needs and receptiveness to information than vaccinated individuals with long COVID.

Current concepts in long COVID-19 brain fog and postural orthostatic tachycardia syndrome

Neurologic complications of long COVID-19 syndrome are one of the leading causes of global disability. In particular, post-COVID-19 cognitive dysfunction and dysautonomia in the form of postural orthostatic tachycardia syndrome (POTS) markedly affect patient quality of life and ability to return to work. The underlying pathophysiology of post-COVID-19 neurologic complications is unknown but is likely multifactorial with immune dysregulation and microvascular dysfunction playing central roles. Specific pathogenic factors with supportive evidence to date include cytokine-mediated inflammation, autoantibodies, immune exhaustion, disruption of the renin-angiotensin system, reduced serotonin levels, and microglial activation. The prevalence of post-COVID-19 cognitive dysfunction ranges from 10% to 88% and is affected by viral variant and hospitalization status among other factors, whereas that of long COVID-19 POTS is unknown due to referral bias and varying definitions. Treatment is largely supportive and often incorporates combined modalities. Marginal benefits with cognitive behavioral therapy, hyperbaric oxygen therapy, and supplements have been found for post-COVID-19 brain fog, whereas established POTS therapies aimed at improving venous return and reducing heart rate may reduce symptoms of long COVID-19 POTS. Although significant recovery has been noted for many cases of post-COVID-19 brain fog and POTS, prospective studies have revealed evidence of persistent symptoms and neurologic deficits a year after infection in some patients. Further studies that provide insight into the underlying pathophysiology of long COVID-19 are needed for development of target directed therapy.

Single-cell sequencing reveals cellular landscape alterations in the airway mucosa of patients with pulmonary long COVID

AIM

To elucidate the important cellular and molecular drivers of pulmonary long COVID, we generated a single-cell transcriptomic map of the airway mucosa using bronchial brushings from patients with long COVID who reported persistent pulmonary symptoms.

METHOD

Adults with and without long COVID were recruited from the general community in Greater Vancouver, Canada. The cohort was divided into those with pulmonary long COVID, which was defined as persons with new or worsening respiratory symptoms following ≥12 weeks from their initial acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (n=9); and control subjects defined as SARS-CoV-2 infected persons whose acute respiratory symptoms had fully resolved or individuals who had no history of acute coronavirus disease 2019 (COVID-19) (n=9). These participants underwent bronchoscopy from which a single cell suspension was created from bronchial brush samples and then sequenced.

RESULTS

A total of 56 906 cells were recovered for the downstream analysis, with 34 840 cells belonging to the pulmonary long COVID group, which strikingly showed a unique cluster of neutrophils in the pulmonary long COVID group (p<0.05). Ingenuity Pathway Analysis revealed that the neutrophil degranulation pathway was enriched across epithelial cell clusters. Differential gene expression analysis between the pulmonary long COVID and control groups demonstrated upregulation of inflammatory chemokines and epithelial barrier dysfunction across epithelial cell clusters, as well as over-expression of mucin genes across secretory cell clusters.

CONCLUSION

A single-cell transcriptomic landscape of the small airways suggest that neutrophils may play a significant role in mediating the chronic small airway inflammation driving pulmonary symptoms of long COVID.

[Fatigue in the general population: results of the "German Health Update 2023" study]

BACKGROUND

Fatigue is an unspecific symptom complex characterized by tiredness, lack of energy, and lack of concentration and is of considerable public health relevance, due to its links with incapacity for work, risk of accidents, and increased need for healthcare.

METHODS

The analyses are based on data from 9766 adults of the telephone survey "Gesundheit in Deutschland aktuell (GEDA)" 2023. Fatigue was recorded using the Fatigue Assessment Scale (FAS), a validated instrument with 10 questions for self-assessment of fatigue. The scale was dichotomized into yes (at least mild to moderate fatigue) versus no (no fatigue). Population-weighted prevalences of fatigue and associated sociodemographic and health-related factors were calculated in descriptive analyses and multivariable Poisson regression.

RESULTS

The overall prevalence of fatigue in adults in Germany is 29.7% (95% CI 28.1-31.2), is highest in 18- to 29-year-olds (39.6% (95% CI 35.0-44.4)), and decreases in the age groups up to 65-79 years (20.6% (95% CI 18.2-23.3)). It is higher again in the very old age group (33.2% (95% CI 28.9-37.7)). Women have a higher risk of fatigue than men (aRR 1.19 (95% CI 1.08-1.32)). Fatigue is significantly associated with age, lower education, chronic illness, depression, and long COVID, regardless of covariates.

DISCUSSION

GEDA 2023 is one of the few population-based studies to have collected data on fatigue. The results allow estimates to be made for Germany on the frequency of fatigue and the significance of physical, psychological, and social influencing factors. They can be used as a reference or as a basis for trends over time as part of continuous health monitoring in Germany.

Lexical retrieval difficulties in post-COVID-19 syndrome: Insights from verbal fluency and naming tasks

BACKGROUND

Although considerable research has been conducted on post-COVID-19 syndrome (PCS), cognitive symptoms, particularly those related to language, are still not well understood.

AIMS

To provide a detailed quantitative and qualitative analysis of language performance in PCS patients using a comprehensive set of semantic and verbal production tasks.

METHODS & PROCEDURES

The study involved 195 PCS patients aged 26-64 years and 50 healthy controls aged 25-61 years. Participants were assessed using two semantic tasks, three naming tasks and four types of verbal fluency tasks, designed to evaluate different aspects of language processing.

OUTCOMES & RESULTS

PCS patients demonstrated significantly poorer performance compared with controls across all verbal fluency tasks. This was evident in both the total number of words generated and their types, with patients tending to choose more easily accessible words. In naming tasks, the pattern of errors was similar in both groups, although patients showed a higher number of non-responses and made more errors, reflecting difficulties in word retrieval. The analysis highlighted the impact of factors such as stimulus availability, educational level and cognitive reserve on performance. Notably, younger patients performed worse than older, a paradoxical trend also observed in previous research.

CONCLUSIONS & IMPLICATIONS

These findings reveal significant word retrieval difficulties in PCS patients, suggesting that cognitive impairment related to language may be more pronounced than previously understood. The results underscore the need for a thorough evaluation of language functions in PCS patients and the development of more targeted and individualized language rehabilitation strategies to address these specific challenges.

WHAT THIS PAPER ADDS

What is already known on the subject Studies on the cognitive characteristics of CPS have focused mainly on broad-spectrum neuropsychological assessments covering all cognitive functions. However, there are very few studies analysing oral production with specific lexical and semantic system tasks. Furthermore, no work has specifically included tasks assessing semantic processing or conducted qualitative analyses of the psycholinguistic variables affecting performance. Such analyses could undoubtedly help clarify the nature of the language impairments in patients with PCS. What this paper adds to the existing knowledge This study explores in depth the evaluation and analysis of the oral production of patients with PCS using several lexical and semantic tasks. In addition, psycholinguistic variables are analysed that could undoubtedly help clarify the nature of the language impairments in patients with PCS. What are the potential or actual clinical implications of this work? The study allows the identification of specific lexical-semantic deficits in the spoken language in patients with this PCS. A more detailed assessment of the oral language of these patients, keeping in mind the psycholinguistic variables that may affect the performance, will facilitate the design of more efficient and individualized rehabilitation programmes.

Physical, cognitive, and social triggers of symptom fluctuations in people living with long COVID: an intensive longitudinal cohort study

Background

Symptom fluctuations within and between individuals with long COVID are widely reported, but the extent to which severity varies following different types of activity and levels of exertion, and the timing of symptoms and recovery, have not previously been quantified. We aimed to characterise timing, severity, and nature of symptom fluctuations in response to effortful physical, social and cognitive activities, using Ecological Momentary Assessments.

Methods

We recorded activity, effort, and severity of 8 core symptoms every 3 h for up to 24 days, in cohorts from both clinic and community settings. Symptom severities were jointly modelled using autoregressive and moving average processes.

Findings

Consent was received from 376 participants providing ≥1 week's measurements (273 clinic-based, 103 community-based). Severity of all symptoms was elevated 30 min after all categories of activity. Increased effort was associated with increased symptom severity. Fatigue severity scores increased by 1.8/10 (95% CI: 1.6-1.9) following the highest physical exertions and by 1.5 (1.4-1.7) following cognitive efforts. There was evidence of only mild delayed fatigue 3 h (0.3, 0.2-0.5) or one day later (0.2, 0.0- 0.5). Fatigue severity increased as the day progressed (1.4, 1.0-1.7), and cognitive dysfunction was 0.2 lower at weekends (0.1-0.3).

Interpretation

Cognitive, social, self-care and physical activities all triggered increased severity across every symptom, consistent with associated common pathways as potential therapeutic targets. Clear patterns of symptom fluctuations emerged that support more targeted self-management.

Funding

National Institute for Health and Care Research.

Neurological long-COVID: Associations among fatigue, dysautonomia, depression, and subjective memory complaints

INTRODUCTION

Long-COVID is a multisystem disease characterized by a varied presentation of symptoms. According to most recent research, the most common symptom of long-COVID is fatigue, which up to this date lacks a universally accepted definition. This study aimed to investigate neurocognitive and physical manifestations of neurological long-COVID, particularly fatigue and its relation with autonomic disfunction, cognitive impairment (known as, brain fog), and depressive symptoms. Furthermore, the study provided insights into predictors of fatigue in long-COVID.

METHODS

The included patients (n=141) were referred to the neuro-long-COVID ambulatory service of Trieste from 30 September 2021-02 March 2022. Patients were given self-reporting questionnaires to screen for fatigue, autonomic dysfunction, cognitive impairment and depressive symptoms. The questionnaires adopted for these conditions to be assessed were Fatigue Severity Scale (FSS), COMPASS-31, Prospective-Retrospective Memory Questionnaire (PRMQ), and Beck Depression Inventory (BDI). Participants were divided into two groups, fatigued and non-fatigued patients, based on FSS scoring (scores > 4.67 indicate fatigued patients). The questionnaire scores of the two groups were then compared.

RESULTS

Fatigued patients had significantly higher scores in COMPASS (p<0.001, Cohen's d=1.077), BDI (p<0.001, Cohen's d=0.862), and PRMQ ( p<0.001, Cohen's d=1.159). Furthermore, the multivariate regression analysis showed that predictors of fatigue in long-COVID were symptomatological burden in acute infection (OR=1.38, 95 % CI 1.020-1.887, p=0.037) and in long-COVID (OR=1.78, 95 % CI 1.133-2.2824, p=0.013), COMPASS-31>16 (OR=3.44, 95 % CI 1240-9.560, p=0.018) and BDI>15 (OR=5.1, 95 % CI 1.715-15.164, p=0.003).

CONCLUSION

This study showed associations between fatigue, dysautonomia and depression, as well as with symptom burden in acute and long-COVID.

Effects of sulphur thermal water inhalations in long-COVID syndrome: Spa-centred, double-blinded, randomised case-control pilot study

BACKGROUND

The long-COVID syndrome is characterised by a plethora of symptoms. Given its social and economic impact, many studies have stressed the urgency of proposing innovative strategies other than hospital settings. In this double-blinded, randomised, case-control trial, we investigate the effects of sulphur thermal water inhalations, rich in H2S, compared to distilled water inhalations on symptoms, inflammatory markers and nasal microbiome in long-COVID patients.

METHODS

About 30 outpatients aged 18-75 with positive diagnosis for long-COVID were randomised in two groups undergoing 12 consecutive days of inhalations. The active group (STW) received sulphur thermal water inhalations whereas the placebo group received inhalations of sterile distilled non-pyrogenic water (SDW). Each participant was tested prior treatment at day 1 (T0), after the inhalations at day 14 (T1) and at 3 months follow-up (T2). At each time point, blood tests, nasal swabs for microbiome sampling, pulmonary functionality tests (PFTs) and pro-inflammatory marker measure were performed.

RESULTS

The scores obtained in the administered tests (6MWT, Borg score and SGRQ) at T0 showed a significant variation in the STW group, at T1 and T2. Serum cytokine levels and other inflammatory biomarkers reported a statistically significant decrease. Some specific parameters of PFTs showed ameliorations in the STW group only. Changes in the STW nasopharyngeal microbiota composition were noticed, especially from T0 to T2.

CONCLUSIONS

Inhalations of sulphur thermal water exerted objective and subjective improvements on participants affected by long-COVID. Significant reduction of inflammatory markers, dyspnoea scores and quantitative and qualitative changes in the nasopharyngeal microbiome were also assessed.

A Randomized Placebo-Controlled Trial of Leronlimab in Mild-To-Moderate COVID-19

PURPOSE

Early in the course of the SARS-CoV-2 pandemic it was hypothesised that host genetics played a role in the pathophysiology of COVID-19 including a suggestion that the CCR5-Δ32 mutation may be protective in SARS-CoV-2 infection. Leronlimab is an investigational CCR5-specific humanized IgG4 monoclonal antibody currently in development for HIV-1 infection. We aimed to explore the impact of leronlimab on the severity of disease symptoms among participants with mild-to-moderate COVID-19.

METHODS

The TEMPEST trial was a randomized, double-blind, placebo-controlled study in participants with mild-to-moderate COVID-19. Participants were randomly assigned in a 2:1 ratio to receive subcutaneous leronlimab (700 mg) or placebo on days 0 and 7. The primary efficacy endpoint was assessed by change in total symptom score based on fever, myalgia, dyspnea, and cough, at end of treatment (day 14).

FINDINGS

Overall, 84 participants were randomized and treated with leronlimab (n = 56) or placebo (n = 28). No difference was observed in change in total symptom score (P = 0.8184) or other pre-specified secondary endpoints between treatments. However, in a post hoc analysis, 50.0% of participants treated with leronlimab demonstrated improvements from baseline in National Early Warning Score 2 (NEWS2) at day 14, compared with 20·8% of participants in the placebo group (post hoc; p = 0.0223). Among participants in this trial with mild-to-moderate COVID-19 adverse events rates were numerically but not statistically significantly lower in leronlimab participants (33.9%) compared with placebo participants (50.0%).

IMPLICATIONS

At the time the TEMPEST trial was designed although CCR5 was known to be implicated in COVID-19 disease severity the exact pathophysiology of SARS-CoV-2 infection was poorly understood. Today it is well accepted that SARS-CoV-2 infection in asymptomatic-to-mild cases is primarily characterized by viral replication, with a heightened immune response, accompanied by diminished viral replication in moderate-to-severe disease and a peak in inflammatory responses with excessive production of pro-inflammatory cytokines in critical disease. It is therefore perhaps not surprising that no differences between treatments were observed in the primary endpoint or in pre-specified secondary endpoints among participants with mild-to-moderate COVID-19. However, the results of the exploratory post hoc analysis showing that participants in the leronlimab group had greater improvement in NEWS2 assessment compared to placebo provided a suggestion that leronlimab may be associated with a lower likelihood of people with mild-to-moderate COVID-19 progressing to more severe disease and needs to be confirmed in other appropriately designed clinical trials.

CLINICALTRIALS

gov number, NCT04343651 https://classic.

CLINICALTRIALS

gov/ct2/show/NCT04343651.

Antecedent and persistent symptoms in COVID-19 and other respiratory illnesses: Insights from prospectively collected data in the BRACE trial

BACKGROUND

Some individuals have a persistence of symptoms following both COVID-19 (post-acute COVID-19 syndrome; PACS) and other viral infections. This study used prospectively collected data from an international trial to compare symptoms following COVID-19 and non-COVID-19 respiratory illness, to identify factors associated with the risk of PACS, and to explore symptom patterns before and after COVID-19 and non-COVID-19 respiratory illnesses.

METHODS

Data from a multicentre randomised controlled trial (BRACE trial) involving healthcare workers across four countries were analysed. Symptom data were prospectively collected over 12 months, allowing detailed characterisation of symptom patterns. Participants with COVID-19 and non-COVID-19 respiratory illness episodes were compared, focussing on symptom severity, duration (including PACS using NICE and WHO definitions), and pre-existing symptoms.

FINDINGS

Compared to those with a non-COVID-19 illness, participants with COVID-19 had significantly more severe illness (OR 7·4, 95%CI 5·6-9·7). Symptom duration meeting PACS definitions occurred in a higher proportion of COVID-19 cases than non-COVID-19 respiratory controls using both the NICE definition (2·5% vs 0·5%, OR 6·6, 95%CI 2·4-18·3) and the WHO definition (8·8% vs 3·7%, OR 2·5, 95%CI 1·4-4·3). When considering only participants with COVID-19, age 40-59 years (aOR 2·8, 95%CI 1·3-6·2), chronic respiratory disease (aOR 5·5, 95%CI 1·3-23·1), and pre-existing symptoms (aOR 3·0, 95%CI 1·4-6·3) were associated with an increased risk of developing PACS. Symptoms associated with PACS were also reported by participants in the months preceding their COVID-19 or non-COVID-19 respiratory illnesses (32% fatigue and muscle ache, 11% intermittent cough and shortness of breath).

INTERPRETATION

Healthcare workers with COVID-19 were more likely to have severe and longer-lasting symptoms than those with a non-COVID-19 respiratory illness, with a higher proportion meeting the WHO or NICE definitions of PACS. Age, chronic respiratory disease, and pre-existing symptoms increased the risk of developing PACS following COVID-19.

Cognitive outcomes and psychological symptoms in an Italian cohort with post-acute COVID-19 condition (PACC)

Background

We aim to investigate the proportion of patients (pts) with long-term cognitive outcomes (CO) of PACC and identify associated features.

Methods

We assessed participants through a neuropsychological assessment. The chi-square test was used for comparisons according with time of NPA (within or beyond 6 months since COVID19) and with previously hospitalization status (hospitalized patients, PH; not hospitalized patients, nPH).

Results

520 participants: mean age 54 years (SD 12), 53 % female, 14 years of education (SD 3.4), 35 % with >1 comorbidity, 48 % previously hospitalized. Overall, we found CO in 89 % of pts, in particular 88 % evaluated in w6M and 89 % in b6M (p = 0.801) while 90 % and 87 % in nPH and PH, respectively (p = 0.239). By fitting multivariable analysis, PH for COVID19 and female gender were associated with an increased risk of an altered PSQI [Odd Ratio, OR 2.48, 95 % CI 1.54 to 3.99, p < 0.001 and OR 2.59, 95 % CI 1.60 to 4.17, p < 0.001, respectively) and BAI [F vs M: OR 1.67, 95 % CI 1.16 to 2.40, p = 0.005).

Conclusions

We show a substantial proportion of PACC-CO; hospitalization leads to impaired memory, anxiety and sleep disorders. Women seem to be at higher risk for anxious-depressive symptoms and worse sleep quality than men.

The Progression of Symptoms in Post COVID-19 Patients: A Multicentre, Prospective, Observational Cohort Study

BACKGROUND

Although the coronavirus disease 2019 (COVID-19) pandemic is no longer a public health emergency of international concern, 30% of COVID-19 patients still have long-term complaints. A better understanding of the progression of symptoms after COVID-19 is needed to reduce the burden of the post COVID-19 condition.

OBJECTIVE

This study aims to investigate the progression of symptoms, identify patterns of symptom progression, and assess their associations with patient characteristics.

METHODS

Within the P4O2 COVID-19 study, patients aged 40-65 years were recruited from five Dutch hospitals. At 3-6 and 12-18 months post COVID-19, medical data were collected, and pulmonary function tests were performed. In between, symptoms were assessed monthly with a questionnaire. Latent class mixed modelling was used to identify symptom progression patterns over time, with multinomial logistic regression to examine associations with patient characteristics.

RESULTS

Eighty-eight patients (aged 54.4 years, 48.9% males) were included. Three trajectories were identified for fatigue and dyspnoea: decreasing, high persistent, and low persistent. The odds of "decreasing fatigue" was higher for never smokers and participants in the lifestyle intervention and lower for those having a comorbidity. The odds of "decreasing dyspnoea" was higher for moderate COVID-19 patients and lifestyle intervention participants and lower for males, mild COVID-19 patients, and those with a higher age.

CONCLUSIONS

Three distinct trajectories were identified for fatigue and dyspnoea, delineating patterns of symptom persistence following COVID-19. Sex, age, smoking status, participation in lifestyle interventions and COVID-19 severity were associated with the likelihood of belonging to different trajectories. These findings highlight the heterogeneity of the long-term symptoms experienced by post COVID-19 patients and emphasise the importance of personalised treatment strategies.

Nirmatrelvir plus ritonavir reduces COVID-19 hospitalization and prevents long COVID in adult outpatients

Nirmatrelvir plus ritonavir received Emergency Use Authorization for treating mild to moderate COVID-19 in high-risk patients. Its efficacy against the Omicron variant of SARS-CoV-2 remains uncertain. This retrospective cohort study assessed the effect of nirmatrelvir-ritonavir in preventing severe disease progression and long COVID symptoms after acute COVID-19 in non-hospitalized adults. SALAMA medical records from Dubai's COVID-19 healthcare centers between May 22, 2022, and April 30, 2023, were used to identify 7290 eligible patients, 9.6% of whom received nirmatrelvir-ritonavir. Treatment was associated with a notable reduction in COVID-19-related hospitalizations (adjusted hazard ratio [HR] of 0.39; 95% CI, 0.18-0.85) by day 28 of symptom onset. Moreover, nirmatrelvir-ritonavir was associated with fewer long COVID symptoms (adjusted HR of 0.42; 95% CI, 0.19-0.95). This suggests the significant effectiveness of nirmatrelvir-ritonavir against the Omicron variant, reducing both severe and long-term COVID-19 symptoms.

Two-day cardiopulmonary exercise testing in long COVID post-exertional malaise diagnosis

BACKGROUND

Long COVID patients present with a myriad of symptoms that can include fatigue, exercise intolerance and post exertional malaise (PEM). Long COVID has been compared to other post viral syndromes, including myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), where a reduction in day 2 cardiopulmonary exercise test (CPET) performance of a two-day CPET protocol is suggested to be a result of PEM. We investigated cardiopulmonary and perceptual responses to a two-day CPET protocol in Long COVID patients.

METHODS

15 Long COVID patients [n=7 females; mean (SD) age: 53(11) yr; BMI = 32.2(8.5) kg/m2] performed a pulmonary function test and two ramp-incremental CPETs separated by 24 hr. CPET variables included gas exchange threshold (GET), peak oxygen uptake (V̇O2peak) and peak work rate (WRpeak). Ratings of perceived dyspnoea and leg effort were recorded at peak exercise using the modified 0-10 Borg Scale. PEM (past six months) was assessed using the modified DePaul Symptom Questionnaire (mDSQ). One-sample t-tests were used to test significance of mean difference between days (p<0.05).

RESULTS

mDSQ revealed PEM in 80 % of patients. Lung function was normal. Responses to day 1 CPET were consistent with the presence of aerobic deconditioning in 40 % of patients (V̇O2peak <80 % predicted, in the absence of evidence of cardiovascular and pulmonary limitations). There were no differences between day-1 and day-2 CPET responses (all p>0.05).

CONCLUSION

PEM symptoms in Long COVID patients, in the absence of differences in two-day CPET responses separated by 24 hours, suggests that PEM is not due to impaired recovery of exercise capacity between days.

Barriers and facilitators of healthcare access for long COVID-19 patients in a universal healthcare system: qualitative evidence from Austria

BACKGROUND

Long COVID-19 challenges health and social systems globally. International research finds major inequalities in prevalence and healthcare utilization as patients describe difficulties with accessing health care. In order to improve long-term outcomes it is vital to understand any underlying access barriers, for which relevant evidence on long COVID-19 is thus far lacking in a universal healthcare system like Austria. This study aims to comprehensively identify access barriers and facilitators faced by long COVID-19 patients in Austria and explore potential socioeconomic and demographic drivers in health and social care access.

METHODS

Applying an exploratory qualitative approach, we conducted semi-structured interviews with 15 experts including medical professionals and senior health officials as well as focus groups with 18 patients with confirmed long COVID-19 diagnosis reflecting varying participant characteristics (age, gender, urbanicity, occupation, education, insurance status) (July-Nov 2023). Data were analysed following a thematic framework approach, drawing on a comprehensive 'access to health care' model.

RESULTS

Based on expert and patient experiences, several access barriers and facilitators emerged along all dimensions of the model. Main themes included scepticism and stigma by medical professionals, difficulties in finding knowledgeable doctors, limited specialist capacities in the ambulatory care sector, long waiting times for specialist care, and limited statutory health insurance coverage of treatments resulting in high out-of-pocket payments. Patients experienced constant self-organization of their patient pathway as stressful, emphasizing the need for multidisciplinary care and centralized coordination. Facilitators included supportive social environments, telemedicine, and informal information provided by a nationwide patient-led support group. Differences in patient experiences emerged, among others, as women and younger patients faced gender- and age-based stigmatization. Complementary health insurance reduced the financial strain, however, did not ease capacity constraints, which were particularly challenging for those living in rural areas.

CONCLUSIONS

The findings of this study indicate a call for action to improve the long COVID-19 situation in Austria by empowering both providers and patients via increased information offerings, strengthened interdisciplinary treatment structures and telemedicine offerings as well as research funding. Our insights on potentially relevant socioeconomic and demographic drivers in access barriers lay the necessary foundation for future quantitative inequality research.

Associations between symptom-based long COVID clusters and long-term quality of life, work and daily activities among individuals testing positive for SARS-CoV-2 at a national retail pharmacy

BACKGROUND

Evidence on long COVID symptom clustering patterns among patients with COVID-19 is limited. We summarized long COVID symptoms in clusters defined by number of symptoms co-occurring together, and we assessed Health-Related Quality of Life (HQRoL), Work Productivity and Activity Impairment (WPAI) outcomes across these clusters over time. We assessed associations between the clusters and BNT162b2 vaccination status.

METHODS

A prospective longitudinal patient-reported outcomes (PRO) study recruited laboratory-confirmed symptomatic COVID-19 patients seeking testing from a national retail pharmacy. Long COVID-19 symptoms were self-reported by participants at 4-week, 3-month and 6-month surveys. Patient classes identified via latent class analysis (LCA) with long COVID-19 symptoms were simplified into clusters based on number of symptoms. HRQoL and WPAI outcomes were collected using EQ-ED-5L and WPAI: GH questionnaires. Mixed models for repeated measures analyses were conducted to examine associations between exposure groups and outcomes.

RESULTS

The study included 328 participants that were segmented into three groups of long COVID-19 symptoms based on LCA and then simplified by the number of symptoms (Cluster 1 low, <2; Cluster 2 moderate, 2-6; and Cluster 3 high, >6 symptoms). The number of long COVID-19 symptoms was negatively associated with HRQoL and WPAI, whereby participants with high symptom burden (>6 symptoms) had the lowest HRQoL and WPAI scores assessed by absenteeism, presenteeism, work productivity loss, activity impairment, and hours worked metrics. Compared with those unvaccinated and not up-to-date with COVID-19 vaccination, subjects boosted with BNT162b2 consistently reported less symptom burden during the follow-up, regardless of their symptom-based cluster.

CONCLUSION

Three distinct patient clusters based on frequency of long COVID symptoms experienced different HRQoL and WPAI outcomes over 6 months. The cluster with more concomitant symptoms experienced greater burden than the others. Participants up-to-date with BNT162b2 reported lower symptom burden across all clusters and timeframes.

CLINICAL TRIAL REGISTRATION

Clinicaltrials.gov NCT05160636.

Long-term effects of COVID-19 infection on bone mineral density

Background

In this study, we aimed to identify bone mineral density (BMD) trajectories of hospitalised patients with coronavirus disease 2019 (COVID-19) and to determine the prognostic role of the trajectory groups.

Methods

This is a retrospective study of hospitalised patients with COVID-19 treated in our hospital from November 2022 to February 2023. BMD was manually measured from the thoracic 12 (T12) and lumbar one (L1) vertebra using chest computed tomography images. We constructed group trajectory models using group-based trajectory modelling. We performed the logistic regression analysis to associate the BMD trajectory pattern with clinical outcomes.

Results

This study included 1767 patients. The mean follow-up time after discharge was 181.5 days (standard deviation (SD) = 9.7). There were 1137 (64.3%) male patients, and more than 80% of patients were aged >60 years. We successfully identified three latent BMD trajectories to reveal the dynamic effects of COVID-19 infection on bone health in patients, namely, the early low-normal decline group, the average, and the early high-rapid decline group. All groups demonstrated consistent overall declining trends. A significant association was observed between BMD trajectory pattern (T12 or L1) and baseline characteristics of sex, age, and penetrating keratoplasty (P < 0.05). Our study showed that the BMD trajectories were significantly associated with mortality. Furthermore, we found that these trajectories were also associated with the length of hospital stay.

Conclusions

This study provided evidence for the COVID-19 process to bone health, as well as evidence on strengthening bone health management before and after COVID-19 infection. BMD trajectories may help manage bone health and guide treatment in patients with COVID-19.