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

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.

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.

Designing and optimizing clinical trials for long COVID

Long COVID is a debilitating, multisystemic illness following a SARS-CoV-2 infection whose duration may be indefinite. Over four years into the pandemic, little knowledge has been generated from clinical trials. We analyzed the information available on ClinicalTrials.gov, and found that the rigor and focus of trials vary widely, and that the majority test non-pharmacological interventions with insufficient evidence. We highlight promising trials underway, and encourage the proliferation of clinical trials for treating Long COVID and other infection-associated chronic conditions and illnesses (IACCIs). We recommend several guidelines for Long COVID trials: First, pharmaceutical trials with potentially curative, primary interventions should be prioritized, and both drug repurposing and new drug development should be pursued. Second, study designs should be both rigorous and accessible, e.g., triple-blinded randomized trials that can be conducted remotely, without participants needing to leave their homes. Third, studies should have multiple illness comparator cohorts for IACCIs such as myalgic encephalomyelitis (ME/CFS) and dysautonomia, and screen for the full spectrum of symptomatology and pathologies of these illnesses. Fourth, studies should consider inclusion/exclusion criteria with an eye towards equity and breadth of representation, including participants of all races, ethnicities, and genders most impacted by COVID-19, and including all levels of illness severity. Fifth, involving patient-researchers in all aspects of studies brings immensely valuable perspectives that will increase the impact of trials. We also encourage the development of efficient clinical trial designs including methods to study several therapies in parallel.

Mechanisms of long COVID and the path toward therapeutics

Long COVID, a type of post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (PASC) defined by medically unexplained symptoms following infection with SARS-CoV-2, is a newly recognized infection-associated chronic condition that causes disability in some people. Substantial progress has been made in defining its epidemiology, biology, and pathophysiology. However, there is no cure for the tens of millions of people believed to be experiencing long COVID, and industry engagement in developing therapeutics has been limited. Here, we review the current state of knowledge regarding the biology and pathophysiology of long COVID, focusing on how the proposed mechanisms explain the physiology of the syndrome and how they provide a rationale for the implementation of a broad experimental medicine and clinical trials agenda. Progress toward preventing and curing long COVID and other infection-associated chronic conditions will require deep and sustained investment by funders and industry.

A call from patient-researchers to advance research on long COVID

Long COVID is a chronic and often disabling illness with long-term consequences. Although progress has been made in the clinical characterization of long COVID, no approved treatments exist and disconnects between patients and researchers threaten to hinder future progress. Incorporating patients as active collaborators in long COVID research can bridge the gap and accelerate progress toward treatments and cures.

A digital intervention for cognitive deficits following COVID-19: a randomized clinical trial

Post-COVID-19 cognitive deficits are common, persistent, and disabling. Evidence on effective treatments is limited. The goal of this study was to investigate the efficacy of a digital intervention to reduce cognitive and functional deficits in adults with persistent post-COVID-19 cognitive dysfunction. We used the remotely-delivered intervention in a randomized clinical trial conducted from July 13, 2021 to April 26, 2023. We hypothesized that participants in the intervention group would improve in measures of cognition and daily functioning. Participants were adults with cognitive deficits persisting >4 weeks following acute COVID-19 illness. Of 183 participants screened, 110 were enrolled; 98 participants (78.6% female; mean age = 48.1) completed at least one study visit. Participants were randomized 1:1 to the intervention (AKL-T01) or waitlist control. AKL-T01 is a digital therapeutic using a videogame interface to target attention and executive control. The intervention was delivered remotely for 6 weeks. The primary outcome was change in performance on a sustained attention measure (Digit Symbol Matching Task). The difference in the primary outcome between the intervention (n = 49) and controls (n = 49) was not statistically significant (F [3,261] = 0.12, p = 0.95). Secondary cognitive outcomes of task-switching (F[3,262] = 2.78, p = 0.04) and processing speed (F[3,267] = 4.57, p = 0.004) improved in the intervention relative to control. Secondary measures of functioning also improved in the intervention relative to control, including disability (F[1,82] = 4.02, p = 0.05) and quality of life (F[3,271] = 2.66, p = 0.05). Exploratory analyses showed a greater reduction in total fatigue (F[1,85] = 4.51, p = 0.04), cognitive fatigue (F[1,85] = 7.20, p = 0.009), and anxiety (F[1,87] = 7.42, p = 0.008) in the intervention relative to control. Despite the lack of improvement in sustained attention, select post-COVID-19 cognitive deficits may be ameliorated by targeted cognitive training with AKL-T01, with associated improvements in quality of life and fatigue. If replicated, the scalable nature of this digital intervention may help address substantial need for accessible, effective treatments among individuals with long COVID.

Physical exercise-related manifestations of long COVID: A systematic review and meta-analysis

Objective

This study aims to systematically assess physical exercise-related symptoms of post-acute sequelae of SARS-CoV-2 infection (PASC or long COVID) in coronavirus disease 2019 (COVID-19) survivors.

Methods

Eight databases were systematically searched on March 03, 2024. Original studies that compared physical exercise-related parameters measured by exercise testing between COVID-19 survivors who recovered from SARS-CoV-2 infection over 3 months and non-COVID-19 controls were included. A random-effects model was utilized to determine the mean differences (MDs) or standardized MDs in the meta-analysis.

Results

A total of 40 studies with 6241 COVID-19 survivors were included. The 6-min walk test, maximal oxygen consumption (VO2max), and anaerobic threshold were impaired in COVID-19 survivors 3 months post-infection compared with non-COVID-19 controls in exercise testing, while VO2 were comparable between the two groups at rest. In contrast, no differences were observed in SpO2, heart rate, blood pressure, fatigue, and dyspnea between COVID-19 survivors and non-COVID-19 controls in exercise testing.

Conclusion

The findings suggest an underestimation of the manifestations of PASC. COVID-19 survivors also harbor physical exercise-related symptoms of PASC that can be determined by the exercise testing and are distinct from those observed at rest. Exercise testing should be included while evaluating the symptoms of PASC in COVID-19 survivors.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Sick leave due to SARS-CoV-2 infection

BACKGROUND

Coronavirus disease 2019 (COVID-19) caused a high burden of sick leave worldwide. Long-term sick leave for COVID-19 may be longer than for other influenza-like syndromes. The real impact of long COVID on absenteeism remains uncertain.

AIMS

To investigate the burden of sick leave, especially >12 weeks, in Belgian workers with a positive polymerase chain reaction (PCR) test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from July 2020 to September 2021 and to compare these figures with sick leave for other infectious diseases.

METHODS

We coupled a database of SARS-CoV-2-positive workers and workers who were absent for other infections with objective absence data. Predictors of prolonged sickness were evaluated by negative binomial regression, Cox proportional hazards regression and ordinal logistic regression.

RESULTS

The study population involved 2569 workers who tested positive for SARS-CoV-2 and 392 workers who were absent for other infectious diseases. In total, 16% (95% CI 14-17%) of workers with a positive SARS-CoV-2 test had no sick leave registered. Fourteen out of 1000 (95% CI 9-20‰) workers with absenteeism for COVID-19 experienced sick leave >12 weeks as compared to 43 out of 1000 workers (95% CI 3-69‰) with absenteeism due to other infections. When including PCR-positive workers without sick leave, the prevalence of long-term sick leave decreased to 12 per 1000 (95% CI8-17‰). Long-term sick leave was associated with older age, high previous sick leave and low educational level.

CONCLUSIONS

The prevalence of long-term sick leave was lower than estimated in earlier investigations regardless of worrying reports about post-COVID-19 syndrome.

Impact of SARS-CoV-2 viral load on restrictive spirometry patterns in mild COVID-19 recovered middle-aged individuals: a six-month prospective study

BACKGROUND

Long term respiratory complications of Corona Virus Disease-2019 (COVID-19) are of great concern. Many studies have reported altered respiratory patterns in COVID-19 recovered individuals and most of them were from severe to critically ill patients. The association of viral load at the time of infection with symptoms of long COVID-19 specifically on pulmonary functions after months of recovery is still not known. This study was aimed to assess the impact of SARS-CoV-2 viral load during mild-moderate COVID-19 disease on pulmonary functions in middle-aged population after 6-8 months of acute infection.

METHODS

This study included 300 (102 healthy controls and 198 COVID-19 recovered) individuals between age 30-60 of either gender. Mild-moderate COVID-19 recovered individuals were recruited between a period of 6-8 months post-acute infection. Spirometry was performed with MIR-Spirolab-III. The association of spirometry pattern was compared with SARS-CoV-2 viral loads during acute infection.

RESULTS

We observed up to 70% of the participants presented with either shortness of breath (11.5%), body aches (23.5%), recurrent cough (4.4%), recurrent respiratory infections (9.5%) and/or fatigue (33.3%) at follow up. In our study, 35.5% of COVID-19 recovered individuals had abnormal respiratory patterns (33.5% had restrictive and 2% had obstructive patterns). Viral load ≤ 20 CT value was associated with restrictive respiratory patterns (p = 0.004). No association was found between viral load and disease severity (p = 0.23).

CONCLUSION

In this study, we found one third of mild-moderate COVID-19 recovered individuals have restrictive respiratory patterns after 6-8 months of recovery. These findings had a strong association with SARS-CoV-2 viral loads during acute infection which has been reported for the first time in our study. Studying the relationship between viral load and pulmonary functions can contribute to identifying potential risk factors for long COVID and developing preventive measures to mitigate the long-term impact on lung health.

CLINICAL TRIAL NUMBER

Not applicable.

Post-COVID fatigue: Reduced quality-of-life associated with clinically relevant fatigue in mild disease courses

Fatigue is a pervasive symptom experienced by many individuals after COVID-19. Despite its widespread occurrence, fatigue remains a poorly understood and complex phenomenon. Our aim is to evaluate the subjective experience of mental fatigue after COVID-19 and to assess its significance for daily life functioning. In this online questionnaire study (N = 220), the Fatigue Severity Scale (FSS), World Health Organization Quality-of-Life assessment (WHOQoL) and a subjective severity rating of the COVID-19 disease progression were used. For our statistical analyses we utilized independent samples t-tests, one-way ANOVA with post-hoc analyses, and a multiple regression. As expected our findings revealed the COVID group reported significantly higher levels of subjective fatigue compared to the control group. Moreover, there was a significant difference between experienced fatigue across the four severity groups. Participants who had a milder course of disease also experienced severe subjective fatigue. Subjective fatigue explained 40% variance in quality-of-life. In conclusion, severe subjective fatigue appears to be associated with increased self-reported COVID-19 symptom severity and lower quality-of-life but is already observable in milder cases. This underscores, firstly, the importance of considering also less severe cases and, secondly, the need to develop rehabilitation and psychological interventions for fatigue.

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.

Cardiovascular disease and covid-19: A systematic review

Background

Cardiovascular complications of COVID-19 are numerous and aspects of this phenomenon are not well known. The main objective of this manuscript is a systematic review of the acute and chronic cardiovascular complications secondary to COVID-19.

Methods

A systematic review of the literature through Medline via PubMed was conducted (2020-2024).

Results

There is a plethora of effects of COVID-19 on the heart in the acute setting. Here we discuss pathophysiology, myocardial infarctions, heart failure, Takotsubo Cardiomyopathy, myocardial injury, myocarditis and arrhythmias that are caused by COVID-19. Additionally, these cardiovascular injuries can linger and may be an underlying cause of some Long COVID symptoms.

Conclusions

Cardiovascular complications of COVID-19 are numerous and life-threatening. Long COVID can affect cardiovascular health. Microclotting induced by SARS-CoV-2 infection could be a therapeutic target for some aspects of Long Covid.

Prevalence, risk factors and characterisation of individuals with long COVID using Electronic Health Records in over 1.5 million COVID cases in England

OBJECTIVES

This study examines clinically confirmed long-COVID symptoms and diagnosis among individuals with COVID in England, aiming to understand prevalence and associated risk factors using electronic health records. To further understand long COVID, the study also explored differences in risks and symptom profiles in three subgroups: hospitalised, non-hospitalised, and untreated COVID cases.

METHODS

A population-based longitudinal cohort study was conducted using data from 1,554,040 individuals with confirmed SARS-CoV-2 infection via Clinical Practice Research Datalink. Descriptive statistics explored the prevalence of long COVID symptoms 12 weeks post-infection, and Cox regression models analysed the associated risk factors. Sensitivity analysis was conducted to test the impact of right-censoring data.

RESULTS

During an average 400-day follow-up, 7.4% of individuals with COVID had at least one long-COVID symptom after acute phase, yet only 0.5% had long-COVID diagnostic codes. The most common long-COVID symptoms included cough (17.7%), back pain (15.2%), stomach-ache (11.2%), headache (11.1%), and sore throat (10.0%). The same trend was observed in all three subgroups. Risk factors associated with long-COVID symptoms were female sex, non-white ethnicity, obesity, and pre-existing medical conditions like anxiety, depression, type II diabetes, and somatic symptom disorders.

CONCLUSIONS

This study is the first to investigate the prevalence and risk factors of clinically confirmed long-COVID in the general population. The findings could help clinicians identify higher risk individuals for timely intervention and allow decision-makers to more efficiently allocate resources for managing long-COVID.

Long COVID: plasma levels of neurofilament light chain in mild COVID-19 patients with neurocognitive symptoms

It is well known the potential of severe acute respiratory coronavirus type 2 (SARS-CoV-2) infection to induce post-acute sequelae, a condition called Long COVID. This syndrome includes several symptoms, but the central nervous system (CNS) main one is neurocognitive dysfunction. Recently it has been demonstrated the relevance of plasma levels of neurofilament light chain (pNfL), as a biomarker of early involvement of the CNS in COVID-19. The aim of this study was to investigate the relationship between pNfL in patients with post-acute neurocognitive symptoms and the potential of NfL as a prognostic biomarker in these cases. A group of 63 long COVID patients ranging from 18 to 59 years-old were evaluated, submitted to a neurocognitive battery assessment, and subdivided in different groups, according to results. Plasma samples were collected during the long COVID assessment and used for measurement of pNfL with the Single molecule array (SIMOA) assays. Levels of pNfL were significantly higher in long COVID patients with neurocognitive symptoms when compared to HC (p = 0.0031). Long COVID patients with cognitive impairment and fatigue symptoms presented higher pNfL levels when compared to long COVID patients without these symptoms, individually and combined (p = 0.0263, p = 0.0480, and 0.0142, respectively). Correlation analysis showed that levels of cognitive lost and exacerbation of fatigue in the neurocognitive evaluation had a significative correlation with higher pNfL levels (p = 0.0219 and 0.0255, respectively). Previous reports suggested that pNfL levels are related with higher risk of severity and predict lethality of COVID-19. Our findings demonstrate that SARS-CoV-2 infection seems to have a long-term impact on the brain, even in patients who presented mild acute disease. NfL measurements might be useful to identify CNS involvement in long COVID associated with neurocognitive symptoms and to identify who will need continuous monitoring and treatment support.

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

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

Long-term neurological dysfunction associated with COVID-19: Lessons from influenza and inflammatory diseases?

As the COVID-19 pandemic persists, SARS-CoV-2 infection is increasingly associated with long-term neurological side effects including cognitive impairment, fatigue, depression, and anxiety, colloquially known as "long-COVID." While the full extent of long-COVID neuropathology across years or even decades is not yet known, we can perhaps take direction from long-standing research into other respiratory diseases, such as influenza, that can present with similar long-term neurological consequences. In this review, we highlight commonalities in the neurological impacts of influenza and COVID-19. We first focus on the common potential mechanisms underlying neurological sequelae of long-COVID and influenza, namely (1) viral neurotropism and (2) dysregulated peripheral inflammation. The latter, namely heightened peripheral inflammation leading to central nervous system dysfunction, is emerging as a shared mechanism in various peripheral inflammatory or inflammation-associated diseases and conditions. We then discuss historical and modern examples of influenza- and COVID-19-associated cognitive impairment, depression, anxiety, and fatigue, revealing key similarities in their neurological sequelae. Although we are learning that the effects of influenza and COVID differ somewhat in terms of their influence on the brain, as the impacts of long-COVID grow, such comparisons will likely prove valuable in guiding ongoing research into long-COVID, and perhaps foreshadow what could be in store for individuals with COVID-19 and their brain health.

Associations Between Acute COVID-19 Symptom Profiles and Long COVID Prevalence: Population-Based Cross-Sectional Study

Background

Growing evidence suggests that severe acute COVID-19 illness increases the risk of long COVID (also known as post-COVID-19 condition). However, few studies have examined associations between acute symptoms and long COVID onset.

Objective

This study aimed to examine associations between acute COVID-19 symptom profiles and long COVID prevalence using a population-based sample.

Methods

We used a dual mode (phone and web-based) population-based probability survey of adults with polymerase chain reaction-confirmed SARS-CoV-2 between June 2020 and May 2022 in the Michigan Disease Surveillance System to examine (1) how acute COVID-19 symptoms cluster together using latent class analysis, (2) sociodemographic and clinical predictors of symptom clusters using multinomial logistic regression accounting for classification uncertainties, and (3) associations between symptom clusters and long COVID prevalence using modified Poisson regression.

Results

In our sample (n=4169), 15.9% (n=693) had long COVID, defined as new or worsening symptoms at least 90 days post SARS-CoV-2 infection. We identified 6 acute COVID-19 symptom clusters resulting from the latent class analysis, with flu-like symptoms (24.7%) and fever (23.6%) being the most prevalent in our sample, followed by nasal congestion (16.4%), multi-symptomatic (14.5%), predominance of fatigue (10.8%), and predominance of shortness of breath (10%) clusters. Long COVID prevalence was highest in the multi-symptomatic (39.7%) and predominance of shortness of breath (22.4%) clusters, followed by the flu-like symptom (15.8%), predominance of fatigue (14.5%), fever (6.4%), and nasal congestion (5.6%) clusters. After adjustment, females (vs males) had greater odds of membership in the multi-symptomatic, flu-like symptom, and predominance of fatigue clusters, while adults who were Hispanic or another race or ethnicity (vs non-Hispanic White) had greater odds of membership in the multi-symptomatic cluster. Compared with the nasal congestion cluster, the multi-symptomatic cluster had the highest prevalence of long COVID (adjusted prevalence ratio [aPR] 6.1, 95% CI 4.3-8.7), followed by the predominance of shortness of breath (aPR 3.7, 95% CI 2.5-5.5), flu-like symptom (aPR 2.8, 95% CI 1.9-4.0), and predominance of fatigue (aPR 2.2, 95% CI 1.5-3.3) clusters.

Conclusions

Researchers and clinicians should consider acute COVID-19 symptom profiles when evaluating subsequent risk of long COVID, including potential mechanistic pathways in a research context, and proactively screen high-risk patients during the provision of clinical care.

Long-term effects of the COVID-19 pandemic for patients with cancer

INTRODUCTION

Long COVID is defined as the continuation of symptoms, unexplainable by alternative diagnosis, longer than four weeks after SARS-CoV-2 infection. These symptoms might hinder daily activities and overall well-being, ultimately impacting quality of life (QoL). Several studies have reported fatigue as the most common symptom, followed by dyspnoea, headache and myalgia. Although it is assumed that long COVID affects 10-20% of SARS-CoV-2 infected individuals, recently numbers up to 60% were described for patients with cancer. This study uncovers the impact of the COVID-19 pandemic on QoL of patients with cancer and how long COVID manifests in this cohort.

METHODS

A group of 96 patients with cancer was followed from March 2022 till March 2023. Online questionnaires assessing symptoms associated with long COVID, anxiety and depression (HADS), quality of life (EORTC-QLQ-C30) and cognitive functioning (CFQ) were sent every three months during this period. Furthermore, a semi-structured focus group was organised for qualitative data collection.

RESULTS

Overall, these patients reported a negative impact of the enforced COVID-19 restrictions on the emotional and psychological wellbeing. Forty nine patients with cancer (51.0%) were infected with SARS-CoV-2 over the course of the study, of which 39 (79.6%) reported long COVID symptoms. The most commonly reported symptoms were myalgia (46.2%), fatigue (38.5%) and disturbed sleep (35.9%) and it was observed that male sex is associated with poor long COVID outcomes.

CONCLUSION

While patients with cancer experience similar long COVID symptoms as healthy controls, the prevalence is remarkably higher possibly due to their compromised immune system and weakened physiological reserve.

SARS-CoV-2 S1 subunit produces a protracted priming of the neuroinflammatory, physiological, and behavioral responses to a remote immune challenge: A role for corticosteroids

Long COVID is a major public health consequence of COVID-19 and is characterized by multiple neurological and neuropsychatric symptoms. SARS-CoV-2 antigens (e.g., spike S1 subunit) are found in the circulation of Long COVID patients, have been detected in post-mortem brain of COVID patients, and exhibit neuroinflammatory properties. Considering recent observations of chronic neuroinflammation in Long COVID patients, the present study explores the idea that antigens derived from SARS-CoV-2 might produce a long-term priming or sensitization of neuroinflammatory processes, thereby potentiating the magnitude and/or duration of the neuroinflammatory response to future inflammatory insults. Rats were administered S1 or vehicle intra-cisterna magna and 7d later challenged with vehicle or LPS. The neuroinflammatory, physiological, and behavioral responses to LPS were measured at various time points post-LPS. We found that prior S1 treatment potentiated many of these responses to LPS suggesting that S1 produces a protracted priming of these processes. Further, S1 produced a protracted reduction in basal brain corticosteroids. Considering the anti-inflammatory properties of corticosteroids, these findings suggest that S1 might disinhibit innate immune processes in brain by reducing anti-inflammatory drive, thereby priming neuroinflammatory processes. Given that hypocortisolism is observed in Long COVID, we propose that similar S1-induced innate immune priming processes might play role in the pathophysiology of Long COVID.

Lithium Aspartate for Long COVID Fatigue and Cognitive Dysfunction: A Randomized Clinical Trial

Importance

Neurologic post-COVID-19 condition (PCC), or long COVID, symptoms of fatigue and cognitive dysfunction continue to affect millions of people who have been infected with SARS-CoV-2. There currently are no effective evidence-based therapies available for treating neurologic PCC.

Objective

To assess the effects of lithium aspartate therapy on PCC fatigue and cognitive dysfunction.

Design, Setting, and Participants

A randomized, double-blind, placebo-controlled trial (RCT) enrolling participants in a neurology clinic from November 28, 2022, to June 29, 2023, with 3 weeks of follow-up, was conducted. Subsequently, an open-label lithium dose-finding study with 6 weeks of follow-up was performed among the same participants enrolled in the RCT. Eligible individuals needed to report new, bothersome fatigue or cognitive dysfunction persisting for more than 4 weeks after a self-reported positive test for COVID-19, Fatigue Severity Scale-7 (FSS-7) or Brain Fog Severity Scale (BFSS) score of 28 or greater, Beck Depression Inventory-II score less than 24, and no history of a condition known to cause fatigue or cognitive dysfunction. All participants in the RCT were eligible for the dose-finding study, except for those who responded to the placebo. Intention-to-treat analysis was used.

Intervention

Lithium aspartate, 10 to 15 mg/d, or identically appearing placebo for 3 weeks followed by open-label lithium aspartate, 10 to 15 mg/d, for 2 weeks. In the subsequent dose-finding study, open-label lithium aspartate dosages up to 45 mg/d for 6 weeks were given.

Main Outcomes and Measures

Change in sum of FSS-7 and BFSS scores. The scores for each measure range from 7 to 49, with higher scores indicating more severe symptoms. Secondary outcomes included changes from baseline in the scores of additional questionnaires.

Results

Fifty-two participants were enrolled (30 [58%] males; mean [SD] age, 58.54 [14.34] years) and 26 were randomized to treatment with lithium aspartate (10 females) and 26 to placebo (12 female). Two participants assigned to lithium aspartate were lost to follow-up and none withdrew. No adverse events were attributable to lithium therapy. There were no significant intergroup differences for the primary outcome (-3.6; 95% CI, -16.6 to 9.5; P = .59) or any secondary outcomes. Among 3 patients completing a subsequent dose-finding study, open-label lithium aspartate, 40 to 45 mg/d, was associated with numerically greater reductions in fatigue and cognitive dysfunction scores than 15 mg/d, particularly in 2 patients with serum lithium levels of 0.18 and 0.49 mEq/L compared with 1 patient with a level of 0.10 mEq/L.

Conclusions and Relevance

In this RCT, therapy with lithium aspartate, 10 to 15 mg/d, was ineffective for neurologic PCC fatigue and cognitive dysfunction. Another RCT is required to assess the potential benefits of higher lithium dosages for treating neurologic PCC.

Trial Registration

ClinicalTrials.gov Identifier: NCT05618587 and NCT06108297.

Systemic cytokines related to memory function 6-9 months and 12-15 months after SARS-CoV-2 infection

Cognitive symptoms persisting beyond the acute phase of COVID-19 infection are commonly described for up to 2 years after infection. The relationship between cognitive performance, in particular episodic memory processes observed chronically after infection, and cytokine levels in the acute phase of COVID-19 has not yet been identified in humans. To determine whether the levels of cytokines IL1β, IL-6 and TNFα secreted in the acute phase of SARS-CoV-2 infection are associated and predict verbal and visuospatial episodic memory performance in humans 6 to 9 months and 12 to 15 months post-infection. The associations and predictive value of the concentration of cytokines measured in acute phase (IL-1β, IL-6, TNFα) from plasma samples of N = 33 hospitalized COVID-19 patients (mean age 61 years, 39-78, 65% in intensive care) in relation to their verbal and visuospatial episodic memory performance measured at 6-9 months and 12-15 months post-infection were analyzed. To do this, we used Spearman correlations and generalised linear mixed models. IL-1β levels were associated with verbal episodic memory total recall scores 6-9 months post-infection. At 12-15 months post-infection IL-6 predicted verbal episodic memory score. This study demonstrated that the severity of inflammatory reaction at acute phase of SARS-CoV-2 infection predicts verbal episodic memory performance in the long-term post-infection.

Herbal medicines for long COVID: A phase 2 pilot clinical study

Background

Infections of Coronavirus Disease-2019 (COVID-19) can cause long-term effects known as long COVID. This pilot study aimed to evaluate the feasibility of a clinical study as well as the efficacy and safety of traditional East Asian herbal medicines in alleviating fatigue and cognitive dysfunction in patients with long COVID.

Methods

This prospective pilot study investigated the use of three types of herbal medicines, Bojungikgi-tang (BIT), Kyungok-go (KOG), and Cheonwangbosim-dan (CBD), for a 12-week period as potential treatments for fatigue and cognitive dysfunction in patients with long COVID. Forty-five patients with long COVID were recruited, and one of three drugs was given based on the patient's symptoms and pattern identification. The effect of herbal medications on fatigue and cognitive function outcomes was assessed over a 36-week period, with patient adherence closely monitored.

Results

After 12 weeks of herbal drug administration, fatigue symptoms improved significantly across all groups, with treatment success rates of 80 %, 53.33 %, and 46.67 % in the BIT, KOG, and CBD groups, respectively. However, cognitive dysfunction symptoms showed less improvement, with treatment success rates of 40 %, 46.67 %, and 13.33 % in the BIT, KOG, and CBD groups, respectively. All adverse events reported were mild and unrelated to the medication. The study design was found to be feasible with high medication adherence.

Conclusions

This study demonstrated the feasibility of conducting a clinical trial with three herbal medicines to treat long COVID symptoms like fatigue and cognitive dysfunction.

Modeling the burden of long COVID in California with quality adjusted life-years (QALYS)

Individuals infected with SARS-CoV-2 may develop post-acute sequelae of COVID-19 ("long COVID") even after asymptomatic or mild acute illness. Including time varying COVID symptom severity can provide more informative burden estimates for public health response. Using a compartmental model driven by confirmed cases, this study estimated long COVID burden by age group (0-4, 5-17, 18-49, 50-64, 65+) in California as measured by the cumulative and severity-specific proportion of quality-adjusted life years (QALYs) lost. Long COVID symptoms were grouped into severe, moderate, and mild categories based on estimates from the Global Burden of Disease study, and symptoms were assumed to decrease in severity in the model before full recovery. All 10,945,079 confirmed COVID-19 cases reported to the California Department of Public Health between March 1, 2020, and December 31, 2022, were included in the analysis. Most estimated long COVID-specific QALYs [59,514 (range: 10,372-180,257)] lost in California were concentrated in adults 18-49 (31,592; 53.1%). Relative to other age groups, older adults (65+) lost proportionally more QALYs from severe long COVID (1,366/6,984; 20%). Due to changing case ascertainment over time, this analysis might underestimate the actual total burden. In global sensitivity analysis, estimates of QALYs lost were most sensitive to the proportion of individuals that developed long COVID and proportion of cases with each initial level of long COVID symptom severity (mild/moderate/severe). Models like this analysis can help translate observable metrics such as cases and hospitalizations into quantitative estimates of long COVID burden that are currently difficult to directly measure. Unlike the observed relationship between age and incident severe outcomes for COVID-19, this study points to the potential cumulative impact of mild long COVID symptoms in younger individuals.

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.

Long COVID in children and adolescents: a historical cohort study with a population-based control group from Iran

BACKGROUND

After recovering from the acute phase of COVID-19, some of the infected children manifest long COVID symptoms. The present study aims to identify long COVID symptoms in children and adolescents admitted to hospitals in Bushehr, Iran, during 2021 to 2023, and compare them with the non-affected group.

METHODS

This historical cohort study with a population-based control group was conducted on 141 children and adolescents with COVID-19 hospitalized in Bushehr city hospitals and 141 non-affected peers. Out of 10 comprehensive health service centers in Bushehr city, 5 centers were selected by random sampling and the non-Covid-19 group was chosen from them (matched by gender and age with the affected group). The data were collected using the data recorded in the patients' records, conducting telephone interviews and completing the prevalent long COVID symptom form. Data were analyzed using SPSS version 18. Descriptive statistics, Chi-square/Fisher's exact tests, and stepwise logistic regression were used. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated, with p < 0.05 as the significance level.

RESULTS

The mean age of the hospitalized children with COVID-19 was 79 ± 5.24 months old, 57.4% of whom were boys. Also, 46 individuals of the COVID-19 group (32.6%) manifested long COVID symptoms. The most prevalent symptoms included fatigue (54.3%), impaired attention or concentration (41.3%) and depression or anxiety symptoms (34.7%). Among the hospitalized children experiencing long-term COVID symptoms, 65.2% exhibited moderate disease severity. A significant relationship was identified between disease severity and muscle and joint pain (P = 0.025), as well as between the length of hospital stay and cough (P = 0.022), weight loss (P = 0.047), and symptoms of depression or anxiety (P = 0.008). Older age [(6-11 y; OR = 3.18, CI = 1.03-9.88); (12 ≥ y; OR = 4.57, CI = 1.40-14.96)] and having history of smoking or being exposed to secondhand smoke (OR = 12.45, CI = 3.14-49.36) were considered as risk factors for long COVID.

CONCLUSIONS

The variables of age and history of exposure to tobacco smoke exhibited a significant independent relationship with the occurrence of long-term COVID symptoms in children hospitalized due to COVID-19. Specifically, as age increases and the history of tobacco smoke exposure rises, the likelihood of experiencing long-term COVID symptoms also increases.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/57596.

The persistence of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) after SARS-CoV-2 infection: A systematic review and meta-analysis

OBJECTIVES

Long COVID-19 (LC) patients experience a number of chronic idiopathic symptoms that are highly similar to those of post-viral Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). We have therefore performed a systematic review and meta-analysis to determine the proportion of LC patients that satisfy ME/CFS diagnostic criteria.

METHODS

Clinical studies published between January 2020 to May 2023 were identified using the PubMed, Web of Science, Embase and CINAHL databases. Publication inclusion/exclusion criteria were formulated using the global CoCoPop framework. Data were pooled using a random-effects model with a restricted maximum-likelihood estimator. Study quality was assessed using the Joanna Briggs Institute critical assessment tool.

RESULTS

We identified 13 eligible studies that reported a total of 1,973 LC patients. Our meta-analysis indicated that 51% (95% CI, 42%-60%) of LC patients satisfied ME/CFS diagnostic criteria with fatigue, sleep disruption, and muscle/joint pain being the most common symptoms. Importantly, LC patients also experienced the ME/CFS hallmark symptom, post-exertional malaise.

CONCLUSIONS

Our study not only demonstrates that LC patients exhibit similar symptom clusters to ME/CFS, but that approximately half of LC patients satisfy a diagnosis of ME/CFS. Our findings suggest that current ME/CFS criteria could be adapted to the identification of a subset of LC patients that may facilitate the standardized diagnosis, management and the recruitment for clinical studies in the future.

DATA AVAILABILITY

Data available upon request.

Key considerations for digital decentralised clinical trials from a feasibility study assessing pacing interventions for long COVID

Post COVID-19 condition or long COVID is highly prevalent and often debilitating, with key symptoms including fatigue, breathlessness, and brain fog. There is currently a lack of evidence-based treatments for this highly complex syndrome. There is a need for clinical trial platforms to rapidly evaluate nonpharmacological treatments to support affected individuals with symptom management. We co-produced a mixed methods feasibility study to evaluate a multi-arm digital decentralised clinical trial (DCT) platform to assess non-pharmacological interventions for Long COVID, using pacing interventions as an exemplar. The study demonstrated that the platform was able to successfully e-consent participants, randomise them into one of four intervention arms, capture baseline data, and capture outcomes relevant to a health economic evaluation. The study also highlighted several challenges, including difficulties with recruitment, imposter participants, and high attrition rates. We highlight how these challenges can potentially be mitigated to make a fully powered DCT more feasible.

Use of cardiopulmonary exercise testing to identify mechanisms of exertional symptoms in children with long COVID

BACKGROUND

Little is known about the mechanisms of exercise intolerance and exertional symptoms in children with long COVID. Through utilization of cardiopulmonary exercise testing (CPET), this study is the first of its kind to evaluate exertional symptoms and attempt to identify potential mechanism of long COVID-19 in children.

OBJECTIVE

To determine if CPET will uncover potential reasons for persistent symptoms of long COVID when there is no indication of cardiopulmonary or upper airway disease.

METHODS

We performed a retrospective chart review study involving children 6-17 years of age with symptoms of long COVID at Phoenix Children''s Hospital from January 1, 2021, to June 1, 2022. Symptoms included but were not limited to exercise intolerance, fatigue, shortness of breath, dyspnea on exertion, and chest pain. We recorded any measurable abnormalities present on CPET after comparing it to established normal reference ranges. Range, median, and SD of data points were calculated and p values were determined using the Mann-Whitney U and Fisher's exact test.

RESULTS

Twenty-three children with exertional symptoms consistent with long COVID were identified. The most frequent symptoms reported during exercise include dyspnea on exertion (35%), followed by chest pain (30%) and dizziness (13%). Nearly half of the children (47%) demonstrated decreased exercise capacity with 30% displaying limitations due to deconditioning, 22% limited by body habitus, and 13% due to bronchospasm. Other contributing factors include ventilation to perfusion mismatch and volitional hyperventilation.

CONCLUSION

Decreased aerobic activity due to multiple factors was found in 47% of children with a history of COVID-19. This study illustrates the importance of ongoing research into this phenomenon to elucidate its mechanism and assist physicians in making decisions regarding referral to specialists for further testing.

[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.

Individualized Homeopathic Medicinal Products in the Treatment of Post-COVID-19 Conditions: A Double-Blind, Randomized, Placebo-Controlled, Feasibility Trial

Objectives: Evidence suggests that post-coronavirus disease 2019 (COVID-19) is associated with reduced health-related quality of life, and up to 80% of those infected with COVID-19 may experience these symptoms. The objective of the present study was to identify the effects of individualized homeopathic medicinal products (IHMPs) against placebos in postCOVID-19 conditions. Design: Double-blind, randomized (1:1), two parallel arms, placebo-controlled, feasibility trial. Setting: D. N. De Homoeopathic Medical College & Hospital, Kolkata, West Bengal, India. Subjects: Sixty participants with post-COVID-19 conditions. Interventions: Group verum (n = 30; IHMPs plus concomitant care) versus group control (n = 30; placebos plus concomitant care). Outcome Measures: Feasibility issues; primary-post-COVID-19 symptoms checklist; secondary-Measure Yourself Medical Outcomes Profile version 2 (MYMOP-2); all of them were measured at baseline, and monthly intervals, up to 3 months. The intention-to-treat sample was analyzed; group differences were reported using descriptive statistics: means, 95% confidence intervals (CIs), and between group effect sizes (Cohen's d). Results: Feasibility concerns showed promise; recruitment, retention, and attrition rates were 34.2%, 95%, and 5%, respectively. Group differences in both primary and secondary outcomes favored IHMPs against placebos: symptoms checklist score mean difference after 3 months: -4.2, 95% CI -4.9 to -3.4, d = 2.854 and MYMOP-2 mean difference after 3 months: -2.2, 95% CI -2.8 to -1.7, d = 2.082, respectively. Natrum muriaticum (11.7%), Pulsatilla nigricans (10%), Rhus toxicodendron (8.3%), and Calcarea carbonica (8.3%) were the most frequently prescribed remedies. Conclusions: IHMPs produced better results than placebos in reducing symptoms checklist scores and MYMOP-2 scores in the treatment of post-COVID-19 conditions. Definitive trials are warranted to confirm the findings.

A Mixed Methods Analysis of Long COVID Symptoms in Black Americans: Examining Physical and Mental Health Outcomes

BACKGROUND

While several reports confirm that long COVID is associated with poorer health, few studies explore how long COVID directly impacts the lives of Black Americans who experienced higher mortality rates early in the pandemic. Even fewer studies utilize both quantitative and qualitative methods to identify pertinent long COVID symptoms. The current study, therefore, sought to identify points of overlap and divergence when comparing qualitative vs. quantitative descriptions of long COVID experiences among Black adults in the United States.

METHODS

We analyzed cross-sectional surveys collected from the AmeriSpeak panel through the National Opinion Research Center (NORC) at the University of Chicago. This panel includes a probability-based sample of adults across the United States. Respondents completed online surveys between April and June 2022. We compared outcomes among participants who reported experiencing post-acute sequelae of COVID-19 (i.e., long COVID) to those who reported experiencing SARS-CoV-2 without long COVID.

RESULTS

Nearly all qualitative responses focused on matters of physical health like prolonged coughing, cardiovascular concerns, troubled breathing, fatigue, headaches, memory loss, and bodily pains. Quantitative results, however, showed that Black adults living with long COVID reported significantly more anxiety, depressive symptoms, and hopelessness. Persons with long COVID were also significantly more likely to report experiencing psychosis, suicidal ideation, suicide plans, and suicide attempts within the last year.

CONCLUSIONS

Black adults with long COVID experienced worse outcomes across all mental health measures. Despite the COVID-19 Public Health Emergency expiration in May 2023, urgent efforts are still required to not only treat both the physical and mental health needs of persons living with long COVID, but to effectively prevent the spread and transmission of COVID-19.

SARS-CoV-2-specific CD8+ T cells from people with long COVID establish and maintain effector phenotype and key TCR signatures over 2 years

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

The Omicron Variant Is Associated with a Reduced Risk of the Post COVID-19 Condition and Its Main Phenotypes Compared to the Wild-Type Virus: Results from the EuCARE-POSTCOVID-19 Study

Post COVID-19 condition (PCC) is defined as ongoing symptoms at ≥1 month after acute COVID-19. We investigated the risk of PCC in an international cohort according to viral variants. We included 7699 hospitalized patients in six centers (January 2020-June 2023); a subset of participants with ≥1 visit over the year after clinical recovery were analyzed. Variants were observed or estimated using Global Data Science Initiative (GISAID) data. Because patients returning for a post COVID-19 visit may have a higher PCC risk, and because the variant could be associated with the probability of returning, we used weighted logistic regressions. We estimated the proportion of the effect of wild-type (WT) virus vs. Omicron on PCC, which was mediated by Intensive Care Unit (ICU) admission, through a mediation analysis. In total, 1317 patients returned for a post COVID visit at a median of 2.6 (IQR 1.84-3.97) months after clinical recovery. WT was present in 69.6% of participants, followed by the Alpha (14.4%), Delta (8.9%), Gamma (3.9%) and Omicron strains (3.3%). Among patients with PCC, the most common manifestations were fatigue (51.7%), brain fog (32.7%) and respiratory symptoms (37.2%). Omicron vs. WT was associated with a reduced risk of PCC and PCC clusters; conversely, we observed a higher risk with the Delta and Alpha variants vs. WT. In total, 42% of the WT effect vs. Omicron on PCC risk appeared to be mediated by ICU admission. A reduced PCC risk was observed after Omicron infection, suggesting a possible reduction in the PCC burden over time. A non-negligible proportion of the variant effect on PCC risk seems mediated by increased disease severity during the acute disease.

Challenges in Receiving Care for Long COVID: A Qualitative Interview Study Among Primary Care Patients About Expectations and Experiences

BACKGROUND

For many patients with post-COVID-19 condition (long COVID), primary care is the first point of interaction with the health care system. In principle, primary care is well situated to manage long COVID. Beyond expressions of disempowerment, however, the patient's perspective regarding the quality of long COVID care is lacking. Therefore, this study aimed to analyze the expectations and experiences of primary care patients seeking treatment for long COVID.

METHODS

A phenomenological approach guided this analysis. Using purposive sampling, we conducted semistructured interviews with English-speaking, adult primary care patients describing symptoms of long COVID. We deidentified and transcribed the recorded interviews. Transcripts were analyzed using inductive qualitative content analysis.

RESULTS

This article reports results from 19 interviews (53% female, mean age = 54 years). Patients expected their primary care practitioners (PCPs) to be knowledgeable about long COVID, attentive to their individual condition, and to engage in collaborative processes for treatment. Patients described 2 areas of experiences. First, interactions with clinicians were perceived as positive when clinicians were honest and validating, and negative when patients felt dismissed or discouraged. Second, patients described challenges navigating the fragmented US health care system when coordinating care, treatment and testing, and payment.

CONCLUSION

Primary care patients' experiences seeking care for long COVID are incongruent with their expectations. Patients must overcome barriers at each level of the health care system and are frustrated by the constant challenges. PCPs and other health care professionals might increase congruence with expectations and experiences through listening, validating, and advocating for patients with long COVID.Annals Early Access article.

Differences in brain structure and cognitive performance between patients with long-COVID and those with normal recovery

BACKGROUND

The pathophysiology of protracted symptoms after COVID-19 is unclear. This study aimed to determine if long-COVID is associated with differences in baseline characteristics, markers of white matter diffusivity in the brain, and lower scores on objective cognitive testing.

METHODS

Individuals who experienced COVID-19 symptoms for more than 60 days post-infection (long-COVID) (n = 56) were compared to individuals who recovered from COVID-19 within 60 days of infection (normal recovery) (n = 35). Information regarding physical and mental health, and COVID-19 illness was collected. The National Institute of Health Toolbox Cognition Battery was administered. Participants underwent magnetic resonance imaging (MRI) with diffusion tensor imaging (DTI). Tract-based spatial statistics were used to perform a whole-brain voxel-wise analysis on standard DTI metrics (fractional anisotropy, axial diffusivity, mean diffusivity, radial diffusivity), controlling for age and sex. NIH Toolbox Age-Adjusted Fluid Cognition Scores were used to compare long-COVID and normal recovery groups, covarying for Age-Adjusted Crystallized Cognition Scores and years of education. False discovery rate correction was applied for multiple comparisons.

RESULTS

There were no significant differences in age, sex, or history of neurovascular risk factors between the groups. The long-COVID group had significantly (p < 0.05) lower mean diffusivity than the normal recovery group across multiple white matter regions, including the internal capsule, anterior and superior corona radiata, corpus callosum, superior fronto-occiptal fasciculus, and posterior thalamic radiation. However, the effect sizes of these differences were small (all β<|0.3|) and no significant differences were found for the other DTI metrics. Fluid cognition composite scores did not differ significantly between the long-COVID and normal recovery groups (p > 0.05).

CONCLUSIONS

Differences in diffusivity between long-COVID and normal recovery groups were found on only one DTI metric. This could represent subtle areas of pathology such as gliosis or edema, but the small effect sizes and non-specific nature of the diffusion indices make pathological inference difficult. Although long-COVID patients reported many neuropsychiatric symptoms, significant differences in objective cognitive performance were not found.

The Long-COVID Well-Being Scale (LCOVID-WBS): Development of a nascent measure of long-COVID symptoms and impacts

As is now well-known, COVID-19 is a highly contagious disease, which for some can cause symptoms that last long after initial infection. In 2021, a clinical set of symptoms referred to as long-COVID was identified. For many patients, long-COVID is a confusing and frightening multisystem disease, with the potential for myriad negative psychosocial effects, including significant impacts on employment and mental health, and requiring ongoing care. Research and treatment of long-COVID will be facilitated by a sound measure that addresses aspects of well-being, symptom experiences, and psychosocial impacts among long-COVID patients. The present work addresses this need by presenting the results of the development and preliminary psychometrics for the Long-COVID Well-Being Scale (LCOVID-WBS). In an exploratory factor analysis with a panel of 236 participants, researchers identified four factors: Emotional Strain, Physical Ability Strain, Control of Life, and Overall Evaluation of Health. The nascent measure represents the first step to measuring the impacts of long-COVID.

Using real-world data to accelerate the search for long COVID therapies

Long COVID, a spectrum of symptoms and syndromes that can develop after SARS-COV-2 infection, can significantly affect patients' health, quality of life and impact their ability to productively function in society. There is currently no approved therapy for Long COVID and there is an urgent need for rigorous clinical trials to find such treatments. Although research into the pathophysiology of Long COVID is advancing, investigations into treatment for patients remain underfunded and, as a result, understudied. Owing to the urgency of the Long COVID pandemic and as a research collaborative across a diversity of biomedical innovation value propositions, we are calling for a new approach that parallelizes pathophysiologic and therapeutic research into this condition, leveraging patient-centered research and real-world data to generate hypotheses to assess the effectiveness of existing FDA approved drugs. Accelerated discovery of therapeutics for Long COVID can then be confirmed through efficient and cost-effective adaptive platform clinical trials.

The Long Haul to Surgery: Long COVID Has Minimal Burden on Surgical Departments

Many patients infected with the SARS-CoV-2 virus (COVID-19) continue to experience symptoms for weeks to years as sequelae of the initial infection, referred to as "Long COVID". Although many studies have described the incidence and symptomatology of Long COVID, there are little data reporting the potential burden of Long COVID on surgical departments. A previously constructed database of survey respondents who tested positive for COVID-19 was queried, identifying patients reporting experiencing symptoms consistent with Long COVID. Additional chart review determined whether respondents had a surgical or non-routine invasive procedure on or following the date of survey completion. Outcomes from surgeries on patients reporting Long COVID symptoms were compared to those from asymptomatic patients. A total of 17.4% of respondents had surgery or a non-routine invasive procedure in the study period. A total of 48.8% of these patients reported experiencing symptoms consistent with Long COVID. No statistically significant differences in surgical outcomes were found between groups. The results of this analysis demonstrate that Long COVID does not appear to have created a significant burden of surgical disease processes on the healthcare system despite the wide range of chronic symptoms and increased healthcare utilization by this population. This knowledge can help guide surgical operational resource allocation as a result of the pandemic and its longer-term sequelae.

Main Predictors of Decreasing in Quality of Life in Patients With Post-COVID-19: A Cross-Sectional Study

OBJECTIVE

We aimed to assess physical and psychosomatic manifestations of patients with long COVID and their association with a decreased patient's quality of life (QOL) or different times elapsed since the COVID-19 diagnosis.

METHODS

This is a cross-sectional study. We retrospectively collected the clinical characteristics of adult patients who had tested positive for SARS-CoV-2 and had symptoms at least as early as 4 weeks after COVID-19 in México City between April 2020 and February 2021. A total of 179 were included. They answered questions to define chronic symptoms. The Sniffin' Sticks Screening 12 test olfactory evaluation was performed. The diminish of QOL was defined by ≥10 points in the EuroQol visual analog scale between pre- and post-COVID-19, and each dimension of EQ-5D-5L test was evaluated. Chi-square test, Fisher's exact test, Student t test, Wilcoxon rank-sum, and signed-rank test were used as required. A backward stepwise logistic regression analysis determined the factors associated with a decrease in QOL. All analyses were performed using R software version 3.6.3 (R Foundation).

RESULTS

In the multivariable analysis, post-COVID-19 pain/discomfort (adjusted odds ratio [aOR] 2.5 [1.66-9.68]; P = .01), anxiety/depression (aOR 13 [1.44-17.23]; P = .03), and persistence of ≥3 symptoms (aOR 2.6 [0.96-7.47]; P = .05) remained statistically significant associated with decreased QOL.

CONCLUSIONS

Patients with long COVID-19 have decreased QOL mainly associated with pain/discomfort, anxiety/depression, and ≥3 persistent symptoms. Our findings enhanced the notion of a strong psychosomatic factors involved with long COVID-19. Therefore, these patients might benefit from neuropsychological rehabilitation, although the effect of such interventions should be evaluated.

Symptom Persistence Following COVID-19 Infection among an Indigenous Community Residing in the Isthmus of Tehuantepec, Oaxaca, Mexico

Introduction/Objectives: Several studies have documented the development and persistence of symptoms related to COVID-19 and its secondary complications up to 12 months after the infection. We aimed to identify the medical complications following COVID-19 infection in the Indigenous Zapotec population of the Isthmus of Tehuantepec region in Oaxaca, Mexico. Methods: This is a cross-sectional analytical study that included 90 Indigenous Zapotec participants (30 males and 60 females) from the Tehuantepec region, Oaxaca, Mexico, who had an infectious process due to SARS-CoV-2. Sociodemographic and clinical data were identified through questionnaires. Results: Among the 201 participants, 90 individuals (66.7% women, 33.3% men) had contracted COVID-19. Out of these, 61 individuals reported persistent symptoms post-infection, with a mean symptom duration of 13.87 months. The results show significant variations in symptom duration based on age, marital status, educational attainment, vaccination status, and blood group. The most commonly reported symptoms included a dry cough, fever, myalgia, fatigue, headache, and depressive symptoms. Conclusions: This study highlights the post-COVID-19 symptoms and their prevalence within a specific sample of the Indigenous Zapotec population in Oaxaca, along with the sociodemographic and clinical factors influencing the duration of these symptoms. It underscores the necessity of personalized recovery strategies and highlights the critical role of vaccination in mitigating the long-term impacts of SARS-CoV-2.

Self-perceived barriers to healthcare access for patients with post COVID-19 condition

BACKGROUND

Many patients with post COVID-19 condition (PCC) require healthcare services. However, qualitative studies indicate that patients with PCC encounter many barriers to healthcare access. This cross-sectional study aimed to determine how many PCC patients report barriers to healthcare access and which barriers are reported, and to explore differences between subgroups.

METHODS

Data were collected via an online survey from 10,462 adult patients with a confirmed or suspected COVID-19 infection in the Netherlands, who experienced persisting symptoms ≥ 3 months after the initial infection. To study self-perceived barriers, a list of eleven possible barriers was used, covering multiple aspects of healthcare access. Differences between subgroups based on sociodemographic characteristics, medical characteristics, PCC symptoms (fatigue, dyspnoea, cognitive problems, anxiety and depression), and healthcare use (general practitioner, paramedical professional, medical specialist, occupational physician and mental health professional) were studied through multivariable multinomial (0 vs. 1 vs. > 1 barrier) and binomial regression analyses (for each individual barrier).

RESULTS

A total of 83.2% of respondents reported at least one barrier to healthcare access. Respondents reported a median of 2.0 (IQR = 3.0) barriers. The barriers "I didn't know who to turn to for help" (50.9%) and "No one with the right knowledge/skills was available" (36.8%) were most frequently reported. Respondents with younger age, higher educational level, not hospitalized during acute COVID-19 infection, longer disease duration, who had more severe PCC symptoms, and who did not consult an occupational physician or paramedical professional, were more likely to report barriers. Analyses per barrier showed that women were more likely to report financial and help-seeking barriers, while men were more likely to report barriers related to availability of care. Hospitalized respondents were less likely to report barriers related to availability of care, but not less likely to report financial or help-seeking barriers.

CONCLUSIONS

This study shows that the majority of patients with PCC experiences barriers to healthcare access. Particular attention should be paid to younger, non-hospitalized patients with a long disease duration and severe PCC symptoms. Efforts to remove barriers should focus not only on improving availability of care, but also on helping patients navigate care pathways.

Towards an understanding of physical activity-induced post-exertional malaise: Insights into microvascular alterations and immunometabolic interactions in post-COVID condition and myalgic encephalomyelitis/chronic fatigue syndrome

BACKGROUND

A considerable number of patients who contracted SARS-CoV-2 are affected by persistent multi-systemic symptoms, referred to as Post-COVID Condition (PCC). Post-exertional malaise (PEM) has been recognized as one of the most frequent manifestations of PCC and is a diagnostic criterion of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Yet, its underlying pathomechanisms remain poorly elucidated.

PURPOSE AND METHODS

In this review, we describe current evidence indicating that key pathophysiological features of PCC and ME/CFS are involved in physical activity-induced PEM.

RESULTS

Upon physical activity, affected patients exhibit a reduced systemic oxygen extraction and oxidative phosphorylation capacity. Accumulating evidence suggests that these are mediated by dysfunctions in mitochondrial capacities and microcirculation that are maintained by latent immune activation, conjointly impairing peripheral bioenergetics. Aggravating deficits in tissue perfusion and oxygen utilization during activities cause exertional intolerance that are frequently accompanied by tachycardia, dyspnea, early cessation of activity and elicit downstream metabolic effects. The accumulation of molecules such as lactate, reactive oxygen species or prostaglandins might trigger local and systemic immune activation. Subsequent intensification of bioenergetic inflexibilities, muscular ionic disturbances and modulation of central nervous system functions can lead to an exacerbation of existing pathologies and symptoms.

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.

Microbiological profile of long COVID and associated clinical and radiological findings: a prospective cross-sectional study

OBJECTIVE

To study the frequency of microbiological etiology of respiratory infections in patients with long COVID and their associated clinical and radiological findings.

METHODS

Nasopharyngeal swabs and sputum specimens were collected from 97 patients with respiratory illness stemming from long COVID. The specimens were assessed for their microbiological profile (bacteria and virus) and their association with the overall clinical and radiological picture.

RESULTS

In total, 23 (24%) patients with long COVID had viral infection (n = 12), bacterial infection (n = 9), or coinfection (n = 2). Microorganisms were detected at significantly higher rates in hospitalized patients, patients with moderate COVID-19, and patients with asthma (P < .05). Tachycardia (65%) was the most common symptom at presentation. A statistically significant number of patients with long COVID who had viral infection presented with cough and myalgia; and a statistically significant number of patients with long COVID who had bacterial infection presented with productive coughing (P < .05). Post-COVID fibrotic changes were found in 61% of cohort patients (31/51).

CONCLUSION

A decreasing trend of respiratory pathogens (enveloped viruses and bacteria) was found in long COVID. An analysis including a larger group of viral- or bacterial-infected patients with long COVID is needed to obtain high-level evidence on the presenting symptoms (cough, myalgia) and their association with the underlying comorbidities and severity.

Prevention of post COVID-19 condition by early treatment with ensitrelvir in the phase 3 SCORPIO-SR trial

This exploratory analysis of the double-blind, phase 3, SCORPIO-SR trial assessed the effect of ensitrelvir in preventing post coronavirus disease 2019 (COVID-19) condition (PCC). Patients with mild-to-moderate COVID-19 were randomized (1:1:1) within 120 h of symptom onset; received 5-day oral ensitrelvir 125 mg (375 mg on day 1), 250 mg (750 mg on day 1), or a matching placebo once daily; and were assessed for the severity of typical PCC symptoms using a self-administered questionnaire. In total, 341, 317, and 333 patients were assessed in the ensitrelvir 125-mg, ensitrelvir 250-mg, and placebo groups, respectively (mean age, 35.6-36.5 years; men, 53.3%-58.3%). On days 85, 169, and 337, ensitrelvir 125-mg treatment showed 32.7% (95% confidence interval [CI]: -30.6, 66.1), 21.5% (95% CI: -37.3, 55.6), and 24.6% (95% CI: -43.7, 60.9) reductions versus placebo, respectively, in the risk of any of the 14 acute-phase COVID-19 symptoms (at least one mild, moderate, or severe symptom with general health not returning to the usual level). Ensitrelvir 250-mg treatment showed 10.9% (95% CI: -67.0, 52.8), 9.5% (95% CI: -56.6, 48.0), and 30.6% (95% CI: -36.2, 65.5) risk reductions versus placebo on days 85, 169, and 337, respectively. Risk reductions were observed in any of the 4 neurological symptoms and were more pronounced among patients with high acute-phase symptom scores at baseline and among those with a baseline body mass index ≥25 kg/m2. Ensitrelvir treatment in the acute phase of COVID-19 may reduce the risk of various symptoms associated with PCC. TRIAL REGISTRATION NUMBER: jRCT2031210350.

Post-acute COVID-19 outcomes including participant-reported long COVID: amubarvimab/romlusevimab versus placebo in the ACTIV-2 trial

Background

It is unknown if early COVID-19 monoclonal antibody (mAb) therapy can reduce risk of Long COVID. The mAbs amubarvimab/romlusevimab were previously demonstrated to reduce risk of hospitalization/death by 79%. This study assessed the impact of amubarvimab/romlusevimab on late outcomes, including Long COVID.

Methods

Non-hospitalized high-risk adults within 10 days of COVID-19 symptom onset enrolled in a randomized, double-blind, placebo-controlled phase 2/3 trial of amubarvimab/romlusevimab for COVID-19 treatment. Late symptoms, assessed using a participant-completed symptom diary, were a pre-specified exploratory endpoint. The primary outcome for this analysis was the composite of Long COVID by participant self-report (presence of COVID-19 symptoms as recorded in the diary at week 36) or hospitalization or death by week 36. Inverse probability weighting (IPW) was used to address incomplete outcome ascertainment, giving weighted risk ratios (wRR) comparing amubarvimab/romlusevimab to placebo.

Findings

Participants received amubarvimab/romlusevimab (n = 390) or placebo (n = 390) between January and July 2021. Median age was 49 years, 52% were female, 18% Black/African American, 49% Hispanic/Latino, and 9% COVID-19-vaccinated at entry. At week 36, 103 (13%) had incomplete outcome ascertainment, and 66 (17%) on amubarvimab/romlusevimab and 92 (24%) on placebo met the primary outcome (wRR = 0.70, 95% confidence interval (CI) 0.53-0.93). The difference was driven by fewer hospitalizations/deaths with amubarvimab/romlusevimab (4%) than placebo (13%). Among 652 participants with available diary responses, 53 (16%) on amubarvimab/romlusevimab and 44 (14%) on placebo reported presence of Long COVID.

Interpretation

Amubarvimab/romlusevimab treatment, while highly effective in preventing hospitalizations/deaths, did not reduce risk of Long COVID. Additional interventions are needed to prevent Long COVID.

Funding

National Institute of Allergy and Infectious Diseases of the National Institutes of Health. Amubarvimab and romlusevimab supplied by Brii Biosciences.

Neuropsychological rehabilitation for post-COVID-19 syndrome: results of a clinical programme and six-month follow up

INTRODUCTION

Patients with post-COVID-19 syndrome may present cognitive and emotional symptomatology. This study aims to analyse the results of an outpatient neuropsychological intervention programme for post-COVID-19 syndrome.

METHOD

In June 2020 Institut Guttmann started an outpatient post-COVID-19 neurorehabilitation programme, including respiratory therapy, physiotherapy, and neuropsychological rehabilitation. Before and after the programme, the cognitive-emotional state of all participants is assessed. Six months after treatment, a follow-up assessment is administered (which includes a collection of information on various aspects of daily life).

RESULTS

The sample analysed consisted of 123 patients (mean age: 51 years, SD: 12.41). Seventy-four per cent (n = 91) had cognitive impairment and underwent cognitive treatment (experimental group); the remaining 26% (n = 32) constituted the control group. After the intervention, the experimental group improved in working memory, verbal memory (learning, recall and recognition), verbal fluency and anxious-depressive symptomatology. The control group showed changes in immediate memory, verbal memory (learning and recognition) and depressive symptomatology, although the effect size in the latter two was smaller than in the experimental group. Six months after treatment, 44.9% of the patients were unable to perform their pre-COVID-19 work activity, and 81.2% reported difficulties in their activities of daily living.

CONCLUSIONS

Neuropsychological rehabilitation is an effective tool to treat the cognitive-emotional deficits present in post-COVID-19 syndrome. However, months after the end of treatment, not all patients recover their pre-COVID-19 functional level.

Menopause symptom prevalence in three post-COVID-19 syndrome clinics in England: A cross-sectional analysis

Objectives

There is an overlap between symptoms of perimenopause/menopause and post-COVID syndrome and there is a concern that some female patients referred to post-COVID syndrome clinics may have undiagnosed perimenopause/menopause. However, the prevalence of such symptoms in this population is unknown.

Methods

Cross-sectional analysis of 122 women's health questionnaires as part of a service improvement project in three National Health Service post-COVID syndrome clinics in England. The primary outcomes were prevalence of menopause symptoms and association between the total menopause symptom questionnaire (MSQ) score and the key predictors.

Results

Age group 40-54 years showed the highest prevalence of most individual symptoms and the highest mean total MSQ score (36.4; confidence interval [CI] 32.3-40.6), correlating clinically with the onset of perimenopause/menopause. Regression modeling shows a significant positive parabolic relationship between age and total MSQ score. Age group 40-54 years is associated with a 6.60-point higher (CI 1.31-11.9) total MSQ score than the age group 55-79 years; an increase of one index of multiple deprivation quintile is associated with a 2.85-point lower (CI -1.24 to -4.45) total MSQ score; presence of a gynecologic diagnosis is associated with a 6.31-point higher (CI 1.32-11.3) total MSQ score. A total of 51% of patients who menstruate reported menstrual disturbance with COVID-19 infection and 21% with COVID-19 vaccination.

Conclusions

Symptoms possibly attributable to perimenopause and menopause were highly prevalent among female patients attending post-COVID syndrome clinics in Greater Manchester, England. Our findings provide key prevalence estimates and significant predictors of MSQ scores that are vital for future research, clinical practice, and policy.