Risk Factors Associated With Post-COVID-19 Condition: A Systematic Review and Meta-analysis

Clustering patients with COVID-19 according to respiratory support requirements, and its impact on short- and long-term outcome (RECOVID study)

INTRODUCTION

The Spanish Society of Pulmonology and Thoracic Surgery created a registry for hospitalised patients with COVID-19 and the different types of respiratory support used (RECOVID). Objectives. To describe the profile of hospitalised patients with COVID-19, comorbidities, respiratory support treatments and setting. In addition, we aimed to identify varying profiles of patients according to outcomes and the complexity of respiratory support needed.

METHODS

Multicentre, observational study in 49 Spanish hospitals. A protocol collected demographic data, comorbidities, respiratory support, treatment setting and 1-year follow-up. Patients were described using either frequency and percentages or median and interquartile range, as appropriate. A cluster analysis made it possible to identify different types of profile among the patients.

RESULTS

In total, 2148 of 2454 hospitalised patients (87.5%) received care in the conventional ward, whilst 126 in IRCU and 180 in ICU. In IRCU, 30% required high-flow nasal oxygen whilst 25%, non-invasive mechanical ventilation and 17%, mechanical ventilation. Four clusters of patients were identified. Two clusters were more likely to require IRCU/ICU admission, although primarily Cluster 2: Cluster (C) 1 consisted of patients without comorbidities and C2, those with comorbidities. Both presented higher inflammatory levels and lower lymphocyte count and SpO2/FiO2; however, C2 showed worse values. Two different clusters identified patients requiring less complex respiratory support. C3 presented higher comorbidities and elevated lymphocyte count, SpO2/FiO2 and low C-reactive protein (CRP). C4 included those without comorbidities except for arterial hypertension, lymphopenia and an intermediate CRP. In-hospital mortality and subsequent 1-year mortality were greater for C2 (28.6% and 7.1%) and C1 (11.1%, 8.3%) than for C4 (3.3%, 1.8%) and C3 (0%, 0%).

CONCLUSIONS

The cluster analysis identified four clinical phenotypes requiring distinct types of respiratory support, with great differences present per characteristics and outcomes.

Long COVID and gut microbiome: insights into pathogenesis and therapeutics

Post-acute coronavirus disease 2019 syndrome (PACS), following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or coronavirus disease 2019 (COVID-19), is typically characterized by long-term debilitating symptoms affecting multiple organs and systems. Unfortunately, there is currently a lack of effective treatment strategies. Altered gut microbiome has been proposed as one of the plausible mechanisms involved in the pathogenesis of PACS; extensive studies have emerged to bridge the gap between the persistent symptoms and the dysbiosis of gut microbiome. Recent clinical trials have indicated that gut microbiome modulation using probiotics, prebiotics, and fecal microbiota transplantation (FMT) led to improvements in multiple symptoms related to PACS, including fatigue, memory loss, difficulty in concentration, gastrointestinal upset, and disturbances in sleep and mood. In this review, we highlight the latest evidence on the key microbial alterations observed in PACS, as well as the use of microbiome-based therapeutics in managing PACS symptoms. These novel findings altogether shed light on the treatment of PACS and other chronic conditions.

Post-COVID general health symptoms in patients with immune-mediated inflammatory diseases

BACKGROUND

Post-COVID entails persistent symptoms following a presumed or confirmed SARS-CoV-2 infection. This study aims to evaluate post-COVID general health symptoms reported by patients with IMIDs.

METHODS

An online questionnaire was distributed to IMID patients on systemic therapy at dermatology, rheumatology, and gastroenterology departments in the Netherlands. General health symptoms were compared between patients with and without prior SARS-CoV-2 infection. Multivariable logistic regression was used to adjust for disease-related factors and known post-COVID risk factors. Self-reported prevalence of post-COVID symptoms was assessed by asking patients if they linked their symptoms to the previous SARS-CoV-2 infection.

RESULTS

A total of 1518 patients were included, and 58% (n = 877) reported ≥1 SARS-CoV-2 infections. When assessing self-reported prevalence of post-COVID symptoms, 13.9% (122/877) linked their symptoms to a previous infection. Patients with a previous infection showed higher prevalence of symptoms than those without (56.2%, 43.9%; P < 0.001), and higher prevalence of fatigue (42%, 32%; P < 0.001). After adjusting for potential risk factors, previous infection was associated with symptoms (OR: 1.53; 95% CI: 1.23-1.91; P < 0.001), and fatigue (OR: 1.31; 95% CI: 1.04-1.64; P = 0.021). Subanalysis showed an association between self-reported COVID-19 severity and symptoms, while presumed SARS-CoV-2 variant (based on date of reported infection) and number of infections were not associated.

CONCLUSION

The self-reported prevalence of general health symptoms, particularly fatigue, is significantly higher in IMID patients with a previous SARS-CoV-2 infection. The cause of this increase requires further investigation and might provide insights into the pathogenesis of post-COVID, both relevant for IMID patients as well as the general population.

Relationship Between Acute SARS-CoV-2 Viral Clearance and Long COVID-19 (Long COVID) Symptoms: A Cohort Study

BACKGROUND

The relationship between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral dynamics during acute infection and the development of long coronavirus disease 2019 (COVID-19), or "long COVID," is largely unknown.

METHODS

Between October 2021 and February 2022, 7361 people not known to have COVID-19 self-collected nasal swab samples for SARS-CoV-2 reverse-transcription polymerase chain reaction testing every 24-48 hours for 10-14 days. Participants whose first known SARS-CoV-2 infection was detected were surveyed for long COVID in August 2023. Their slopes of viral clearance were modeled using linear mixed effects models with random slopes and intercepts, and the relative risk (RR) of long COVID based on viral slopes was calculated using a log binomial model, adjusted for age, symptoms, and variant. Sex-based interaction terms were also evaluated for significance.

RESULTS

A total of 172 participants were eligible for analyses, and 59 (34.3%) reported long COVID. The risk of long COVID with 3-4 symptoms (adjusted RR, 2.44 [95% confidence interval, .88-6.82]) and ≥5 symptoms (4.97 [1.90-13.0]) increased with each unit increase in slope of viral clearance. While the probability of long COVID increased with slowed viral clearance among women, the same relationship was not observed among men (interaction term: P = .02). Acute SARS-CoV-2 symptoms of abdominal pain (adjusted RR, 5.41 [95% confidence interval, 2.44-12.0]), nausea (3.01 [1.31-6.89]), and body aches (2.58 [1.26-5.30]) were most strongly associated with long COVID.

CONCLUSIONS

We observed that slower viral clearance rates during acute COVID-19 were associated with increased risk and more symptoms of long COVID . Early viral-host dynamics appear to be mechanistically linked to the development of long COVID.

Development of an expectation management intervention for patients with Long COVID: A focus group study with affected patients

BACKGROUND

A significant number of individuals who have contracted SARS-CoV-2 report persistent somatic symptoms after the infection has resolved. Evidence-based treatment options for Long COVID are lacking to date. To ensure that an expectation management intervention, designed for the research project SOMA.COV, addresses relevant patient needs as well as to promote treatment acceptance and adherence, a participatory approach was chosen.

OBJECTIVE

The aim of the present study was to explore needs and wishes of patients with Long COVID regarding the preliminary version of an expectation management intervention and to thereby inform the further development of the treatment manual.

METHODS

Twenty-two patients affected by Long COVID participated in one of four focus groups in June and July 2023. Participants were presented with the draft content of a four-session expectation management intervention. Feedback was audio-recorded, transcribed, and analyzed using thematic analysis.

RESULTS

Thirteen themes relating to the main components of the intervention manual were developed. Large parts of the manual received overall positive feedback, including psychoeducation on the biopsychosocial etiology of the condition, elements of cognitive restructuring, and an imagination exercise. Patients' response to the presented vicious circle of fear and a behavior change exercise was mixed. Modifications to the manual were made in response to patients' feedback.

CONCLUSION

Patients with Long COVID provided positive feedback on an expectation management intervention while also highlighting important adaptations necessary for this patient group. The study results informed the finalization of the treatment manual within the SOMA.COV project, which investigates the effectiveness of this intervention for patients with Long COVID in a three-armed randomized controlled trial.

Prevalent symptoms and characteristics of the Long COVID-19 population: a scoping review

to map the scientific literature on the clinical and demographic characteristics of Long COVID-19.

this is a scoping review based on the principles recommended by the JBI and the PRISMA guidelines for data extraction, carried out on four databases. The PCC strategy was used for data collection, and the results were described and diagrammed. The studies were selected after removing duplicates, individual and peer review.

an analysis of the 13 articles selected showed that Long COVID affects all age groups and people of both sexes, presenting a multiplicity of symptoms, such as fatigue (61.5%), dyspnea (46.1%), changes in smell and/or taste (38.6%), anxiety (15.3%) and cognitive impairment (30.7%). Females were found to be at increased risk of developing Long COVID.

identifying the symptoms prevalent in Long COVID contributes to public health strategies for diagnosing and assisting people affected by the disease. Future studies are recommended on the approach to the persistence of symptoms in Long COVID and the relationship between adherence to the vaccination schedule against COVID-19, gender, race/ethnicity, degree of susceptibility in the different age groups, level of education and income, as well as the most recurrent comorbidities in the population.

BACKGROUND

(1) It was found that Long COVID affects all age groups of both sexes. (2) Most common symptoms: fatigue, dyspnea and altered sense of smell and/or taste. (3) Risk factors: female gender, COVID-19 severity and comorbidities.

First results from a multimodal psychosomatic post-COVID treatment approach - a prospective longitudinal study

BACKGROUND

Clinical experiences using a psychosomatic-oriented multimodal treatment approach in patients with post-COVID are promising. We established a half-day multimodal treatment program for post-COVID patients at the Department of Psychosomatic Medicine at General Hospital Nuremberg, Paracelsus Medical University, Germany.

METHODS

This observational study between January 2022 and March 2023 comprised baseline documentation of Patient Health Questionnaire (PHQD), ICD-10 Symptom Rating (ISR), Fatigue Scale (FS) and Health Status Questionnaire (SF-12) at admission and discharge of 65 patients suffering from post-COVID. Multimodal psychosomatic treatment was scheduled for 3-4 weeks.

RESULTS

At admission, PHQ and FS showed a high level of somatic symptom burden (PHQ-15: M = 16.0, SD = 5.6) and fatigue symptoms (FS: M = 27.1, SD = 4.4). Depressive (PHQ-9: M = 14.0, SD = 5.3) and anxiety symptoms (GAD-7: M = 9.6, SD = 5.6) were moderately and mildly pronounced, respectively. Compared to patients from our standard clinical settings post-COVID patients had a comparably high or even higher mental symptom burden (e.g. PHQ-15: p < .001, d = 0.79; PHQ-9: p = .009, d = 0.39). Compared to admission, symptomatology of post-COVID patients at discharge was improved (e.g. PHQ-15: p = .004, d = 0.26; FS: p = .009, d = 0.32).

CONCLUSIONS

Despite the short duration of treatment, the patients showed a significant reduction in symptoms between admission and discharge. Further data including a control group and extending the duration of treatment will show whether the changes in symptoms are of the multimodal psychosomatic treatment.

Long COVID for the Rheumatologist: Current Understanding and Approach to Management

There are estimated tens of millions of individuals throughout the world suffering from a variety of postinfectious sequela following infection with severe acute respiratory syndrome coronavirus 2 also commonly referred to as long coronavirus disease (COVID). Long COVID is providing an opportunity for the field of rheumatology to explore the relationship between similar syndromes including fibromyalgia seen in patients with underlying inflammatory and noninflammatory rheumatic diseases, as well as other postacute infectious sequela and bring our field's traditional skill sets to bear on improving our understanding of these disorders and the care of such patients.

Sleep and long COVID: preexisting sleep issues and the risk of post-acute sequelae of SARS-CoV-2 infection in a large general population using 3 different model definitions

STUDY OBJECTIVES

Insomnia, poor sleep quality, and extremes of sleep duration are associated with COVID-19 infection. This study assessed whether these factors are related to post-acute sequelae of SARS-CoV-2 infection (PASC).

METHODS

Cross-sectional survey of a general population of 24,803 United States adults to determine the association of insomnia, poor sleep quality, and sleep duration with PASC. Three definitions of PASC were used based on post COVID-19 clinical features: COVID-19 Outbreak Public Evaluation Initiative (COPE) (≥ 3), National Institute for Health and Care Excellence (NICE) (≥ 1), and Researching COVID to Enhance Recovery (RECOVER) (scoring algorithm).

RESULTS

Prevalence rates of PASC were 21.9%, 38.9%, and 15.5% for COPE, NICE, and RECOVER PASC definitions, respectively. PASC was associated with insomnia in all 3 models after full adjustment with odds ratios and 95% confidence intervals (CIs) ranging from 1.30 (95% CI: 1.11-1.52, P ≤ .05, RECOVER PASC score) to 1.52 (95% CI: 1.34-1.71, P ≤ .001, NICE). Poor sleep quality was related to PASC in all models with adjusted odds ratios ranging from 1.77 (95% CI: 1.60-1.97, P ≤ .001, NICE) to 2.00 (95% CI: 1.77-2.26, P ≤ .001, COPE). Sleep < 6 hours was associated with PASC with adjusted odds ratios between 1.59 (95% CI: 1.40-1.80, P ≤ .001, RECOVER PASC score) and 1.70 (95% CI: 1.53-1.89, P ≤ .001, COPE). Sleep ≥ 9 hours was not associated with PASC in any model. Although vaccination with COVID-19 booster decreased the likelihood of developing PASC, it did not attenuate associations between insomnia, poor sleep quality, and short sleep duration with PASC in any of the models.

CONCLUSIONS

Insomnia, poor sleep quality, and short sleep duration are cross-sectionally associated with PASC and may be potential risk factors. Further longitudinal studies should be conducted.

CITATION

Quan SF, Weaver MD, Czeisler MÉ, et al. Sleep and long COVID: preexisting sleep issues and the risk of post-acute sequelae of SARS-CoV-2 infection in a large general population using 3 different model definitions. J Clin Sleep Med. 2025;21(2):249-259.

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

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

Standardization use of the international classification of functioning, disability and health in the determination of health status in patients with post-acute COVID-19 syndrome

PURPOSE

To propose a standardized method for the use of the International Classification of Functioning, Disability and Health (ICF) to describe the health status in Post-Acute COVID-19 Syndrome (PACS) and investigate interrater agreement in the linking process in instruments and clinical exams using the ICF categories.

MATERIALS AND METHODS

Cross-sectional and interrater agreement study that followed the Guidelines for Reporting Reliability and Agreement Studies. Two raters performed the linking coding process in instruments of quality of life, anxiety and depression, fatigue and pulmonary function, inspiratory muscle strength and cardiopulmonary exercise testing. The codes were qualified by standards defined to each instrument and exams.

RESULTS

The instrument with the lowest Cohen's Kappa coefficient was anxiety and depression (k = 0.57). Forty ICF codes were linked to clinical instruments and exams. The fatigue instrument presented a higher degree of disability by the qualification process, from severe to complete, in the linked codes.

CONCLUSION

The study presents a standardized method for the assessment of the health status of patients with PACS through ICF. Restriction in work performance, socialization and family relationships as well as disabilities in physical endurance, fatigue and exercise tolerance were found in the sample. The agreement between the raters was moderate to perfect, demonstrating that the method can be reproducible.

Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis

BACKGROUND

An estimated 10-30% of people with COVID-19 experience debilitating long-term symptoms or long covid. Underlying health conditions associated with chronic inflammation may increase the risk of long covid.

METHODS

We conducted a systematic review and meta-analysis to examine whether long covid risk was altered by pre-existing asthma or chronic obstructive pulmonary disease (COPD) in adults. We identified studies by searching the PubMed and Embase databases from inception to 13 September 2024. We excluded studies that focused on children or defined long covid only in terms of respiratory symptoms. We used random-effects, restricted maximum likelihood models to analyse data pooled from 51 studies, which included 43 analyses of asthma and 30 analyses of COPD. The risk of bias was assessed using a ROBINS-E table.

RESULTS

We found 41% increased odds of long covid with pre-existing asthma (95% CI 1.29 to 1.54); pre-existing COPD was associated with 32% increased odds (95% CI 1.16 to 1.51). Pre-existing asthma, but not COPD, was associated with increased odds of long covid-associated fatigue. We observed heterogeneity in the results of studies of asthma related to hospitalisation status. Potential confounding and inconsistent measurement of exposure and outcome variables were among the identified limitations.

CONCLUSIONS

Our findings support the hypothesis that pre-existing asthma and COPD increase the risk of long covid, including chronic fatigue outcomes in patients with asthma. Because COVID-19 targets the respiratory tract, these inflammatory conditions of the lower respiratory tract could provide mechanistic clues to a common pathway for the development of long-term sequelae in patients with long covid.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Long COVID and its risk factors in migrants: a nationwide register study from Sweden

BACKGROUND

Many studies have found more severe COVID-19 outcomes in migrants and ethnic minorities throughout the COVID-19 pandemic, while recent evidence also suggests higher risk of longer-term consequences. We studied the risk of a long COVID diagnosis among adult residents in Sweden, dependent on country of birth and accounting for known risk factors for long COVID.

METHODS

We used linked Swedish administrative registers between March 1, 2020 and April 1, 2023, to estimate the risk of a long COVID diagnosis in the adult population that had a confirmed COVID-19 infection. Poisson regressions were used to calculate incidence rate ratios (IRR) of long COVID by country/region of birth. The contribution of sex, preexisting health status, disease severity, vaccination status, and socioeconomic factors to differences in long COVID diagnosis by country/region of birth were further investigated.

RESULTS

Of the 1,869,188 persons diagnosed with COVID-19 that were included, 7539 had received a long COVID diagnosis. Compared with residents born in Sweden, we found higher risks of long COVID among migrants from East Europe (IRR: 1.44 CI: 1.29-1.60), Finland (IRR: 1.36 CI: 1.15-1.61), South Asia (IRR: 1.28 CI: 1.03-1.59), Other Asia (IRR: 1.35 CI: 1.13-1.62), Other Africa (IRR: 1.48 CI: 1.17-1.87), and the Middle East (IRR: 1.43 CI: 1.27-1.63) in models adjusted for age and sex. We discovered that disease severity, i.e., whether the person was hospitalized (IRR: 18.6 CI: 17.3-20.0) or treated in an intensive care unit (IRR: 120.5 CI: 111.7-129.8), primarily contributed to the higher risk of long COVID found in migrants while the contribution of vaccinations and social conditions were moderate. Preexisting health problems did not contribute to the increased risk of long COVID in migrants.

CONCLUSIONS

The greater exposure and impact of the COVID-19 virus among migrants also affected longer-term consequences. Disease severity was the most important risk factor for long COVID in migrants. The findings emphasize the need for targeted health interventions for migrant communities during an infectious disease pandemic, such as strategic vaccination campaigns and extending social insurance schemes, focusing on reducing disease severity to mitigate the longer-term health consequences of an infection.

Risk Factors and Predictors for Persistent Dyspnea Post-COVID-19: A Systematic Review

The most frequently reported post-coronavirus disease of 2019 (COVID-19) symptoms include shortness of breath, fatigue, and cognitive disturbances, with reports of persistent dyspnea ranging between 26% and 41%. There is an urgent need to understand the risk factors and predictors for persistent COVID-19 dyspnea in individuals at all levels of COVID-19 illness severity, to enable the implementation of targeted interventions for those likely to be most affected with persistent dyspnea. Thus, the purpose of this systematic review is to explore the risk factors and predictors that are associated with persistent dyspnea in the post-COVID-19 population. This review was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines and registered prospectively in PROSPERO as CRD42023466713. A search strategy was conducted across PubMed, CINAHL, Web of Science, and EMBASE databases, that included studies conducted from 2020 to March 2024. The Covidence platform was used for screening studies, scoring methodologic quality, and performing data extraction using a two-step independent review process. This review included 33 studies, addressing 83,920 participants across 20 countries. The strongest predictive risk factors for persistent dyspnea included the following: female sex, elevated body mass index, pulmonary comorbidities, pre-existing anxiety and depression, pre-COVID-19 physical limitations, the severity of the COVID-19 illness, and socioeconomic differences. Potential risk factors included increased age, smoking history, and COVID-19 variant type. The presence of biomarkers for persistent dyspnea in the post-COVID-19 population can be used by clinicians to prospectively identify those individuals who should be flagged. Early identification may then be leveraged for timely referral for prophylactic and rehabilitative interventions for dyspnea. A personalized plan to target those risk factors that are modifiable should follow.

Predictors of Post-Acute Sequelae of COVID-19 in a Diverse Urban Population

BACKGROUND

Post-acute sequelae of SARS-CoV-2 infection (PASC) are ongoing, relapsing, or new symptoms present at least 3 months after infection. Predictors of PASC, particularly across diverse racial and ethnic groups, remain unclear.

OBJECTIVES

Assess the prevalence of PASC 1 year after infection, examining differences in PASC prevalence by the social construct of race.

DESIGN

Retrospective observational cohort study.

PARTICIPANTS

In total, 863 adults aged 18 years or older, who were assessed for COVID-19 at two hospitals in New York City during the first two waves of the pandemic (March to July 2020 and January to March 2021).

MAIN MEASURES

Prevalence of self-reported PASC, including its respiratory and neurological phenotypes. Data were gathered via telephone surveys conducted 11-15 months following diagnosis. Logistic regression models were used to identify predictors of PASC.

KEY RESULTS

In total, 54.1% of those diagnosed with COVID-19 reported PASC symptoms 1 year after infection. Racial and ethnic disparities in the prevalence of PASC varied by PASC phenotype and by the time of initial diagnosis (Wave 1 versus Wave 2). Asian adults had significantly lower odds of reporting any PASC compared to White adults (AOR = 0.55, p=0.02), particularly for neurological symptoms (AOR = 0.5, p=0.01). Black adults had significantly higher odds of reporting respiratory PASC (AOR = 2.67, p<0.001) and lower odds of neurological PASC (AOR = 0.54, p=0.02). Females had higher odds of respiratory (AOR = 1.45, p=0.04) and neurological PASC (AOR = 1.45, p=0.02). Loneliness was consistently associated with higher odds of all PASC categories.

CONCLUSIONS

This study reveals a high prevalence of PASC 1 year post-infection, with notable racial and ethnic disparities. The results underscore the need for long-term monitoring of those infected with COVID-19 during the initial waves, with a focus on identifying and addressing yet unmeasured social determinants of health that contribute to these disparities.

E-cigarettes are not associated with post-acute COVID-19 syndrome among US adults

The COVID-19 pandemic has resulted in many survivors experiencing post-acute COVID-19 syndrome (PCS) with symptoms including fatigue, breathlessness, and cognitive complaints. E-cigarette use has already been associated with increased susceptibility to COVID-19 because of its effects on ACE2 receptor expression and inflammation, raising concern that it might worsen the long-term outcomes of COVID-19, including PCS. While traditional smoking is associated with a higher risk of PCS, the role of e-cigarettes remains unclear due to conflicting evidence. Using 2022 Behavioral Risk Factor Surveillance System (BRFSS) data, this study investigated the association between e-cigarette use and PCS among US adults who tested positive for COVID-19. The final sample included 107,249 adults after the exclusion of respondents with missing information. It analyzed e-cigarette use (never, former, current) and controlled for key covariates such as age, gender, BMI, smoking, and chronic diseases. The results showed that female gender, obesity, current smoking, and a history of depression, asthma, and chronic obstructive pulmonary disease (COPD) were significantly associated with higher odds of PCS. Nevertheless, e-cigarette use was not related significantly to increased odds for PCS (current e-cigarette use: aOR = 1.07, 95 CI: 0.96, 1.20; former e-cigarette use: aOR = 1.03, 95 CI: 0.96, 1.12). The mediation analysis showed no indirect effect of the use of e-cigarettes on PCS via COPD. In conclusion our findings did not reveal an independent or indirect association between PCS with e-cigarette use.

Predicting work ability impairment in post COVID-19 patients: a machine learning model based on clinical parameters

The Post COVID-19 condition (PCC) is a complex disease affecting health and everyday functioning. This is well reflected by a patient's inability to work (ITW). In this study, we aimed to investigate factors associated with ITW (1) and to design a machine learning-based model for predicting ITW (2) twelve months after baseline. We selected patients from the post COVID care study (PCC-study) with data on their ability to work. To identify factors associated with ITW, we compared PCC patients with and without ITW. For constructing a predictive model, we selected nine clinical parameters: hospitalization during the acute SARS-CoV-2 infection, WHO severity of acute infection, presence of somatic comorbidities, presence of psychiatric comorbidities, age, height, weight, Karnofsky index, and symptoms. The model was trained to predict ITW twelve months after baseline using TensorFlow Decision Forests. Its performance was investigated using cross-validation and an independent testing dataset. In total, 259 PCC patients were included in this analysis. We observed that ITW was associated with dyslipidemia, worse patient reported outcomes (FSS, WHOQOL-BREF, PHQ-9), a higher rate of preexisting psychiatric conditions, and a more extensive medical work-up. The predictive model exhibited a mean AUC of 0.83 (95% CI: 0.78; 0.88) in the 10-fold cross-validation. In the testing dataset, the AUC was 0.76 (95% CI: 0.58; 0.93). In conclusion, we identified several factors associated with ITW. The predictive model performed very well. It could guide management decisions and help setting mid- to long-term treatment goals by aiding the identification of patients at risk of extended ITW.

Prevalence and risk factors for long COVID among cancer patients: a systematic review and meta-analysis

Objective

The prevalence of long COVID among cancer patients remains unknown. This study aimed to determine the prevalence of long COVID and explore potential risk factors among cancer patients.

Methods

A systematic search was performed on PubMed, Web of Science, and Embase from database inception until 21 March 2024, to identify studies that reported long COVID in cancer patients. Two investigators independently screened the studies and extracted all information about long COVID in cancer patients for subsequent analysis. Methodological quality was assessed using the "Joannagen Briggs Institute (JBI) Critical Appraisal Checklist for Studies Reporting Prevalence Data".

Results

A total of 13 studies involving 6,653 patients were included. The pooled prevalence of long COVID was 23.52% [95% confidence interval (CI), 12.14% to 40.64%] among cancer patients reported experiencing long COVID after acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The pooled prevalence of any long COVID in cancer patients was 20.51% (95% CI, 15.91% to 26.03%), 15.79% (95% CI, 11.39% to 21.47%), and 12.54% (95% CI, 6.38% to 23.18%) in 3, 6, and 12 months follow-up duration. Fatigue was the most common symptom, followed by respiratory symptoms, myalgia, and sleep disturbance. Patients with comorbidities had a significantly higher risk of experiencing long COVID [odds ratio (OR) = 1.72; 95% CI, 1.09 to 2.70; p = 0.019]. No statistically significant differences in sex, primary tumor, or tumor stage were detected.

Conclusion

Nearly a quarter of cancer patients will experience long COVID after surviving from SARS-CoV-2 infection, and this would even last for 1 year or longer. Fatigue, respiratory symptoms, myalgia, and sleep disturbance need to be more addressed and managed to reduce symptom burden on cancer patients and improve quality of life. Patients with comorbidities are at a high risk of developing long COVID. Further randomized controlled trials with rigorous methodological designs and large sample sizes are needed for future validation.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023456665.

Animal Models of Non-Respiratory, Post-Acute Sequelae of COVID-19

Post-acute sequelae of COVID-19 (PASC) are a diverse set of symptoms and syndromes driven by dysfunction of multiple organ systems that can persist for years and negatively impact the quality of life for millions of individuals. We currently lack specific therapeutics for patients with PASC, due in part to an incomplete understanding of its pathogenesis, especially for non-pulmonary sequelae. Here, we discuss three animal models that have been utilized to investigate PASC: non-human primates (NHPs), hamsters, and mice. We focus on neurological, gastrointestinal, and cardiovascular PASC and highlight advances in mechanistic insight that have been made using these animal models, as well as discussing the sequelae that warrant continued and intensive research.

Real-world evidence of remdesivir in formerly hospitalized COVID-19 patients: patient-reported and functional outcomes

BACKGROUND

Post-COVID condition (PCC) is characterized by persisting symptoms after the resolution of acute COVID-19. Remdesivir (RDV), a broad-spectrum antiviral drug, has been widely used in patients hospitalized with COVID-19 requiring oxygen therapy. We aimed to evaluate the effects of RDV on PCC by assessing patient-reported and functional outcomes.

METHODS

We used the data from a single-center registry, including formerly hospitalized post-COVID patients (N = 293). Propensity score matching (PSM) was used (16 criteria, 1:1 ratio) to obtain two comparable groups: those who received standard-of-care (SOC, N = 94) and those treated with RDV in addition to SOC (SOC + RDV, N = 94). Primary outcomes were asymptomatic status and at least 50% symptom score reduction at post-COVID follow-up. Secondary outcomes included results of pulmonary function (PF) tests, 6-minute walk test (6MWT), and quality-of-life (QoL) questionnaires.

RESULTS

After PSM, baseline patient characteristics showed no significant differences between the two groups. Most patients were still symptomatic (60% vs. 66%). In the SOC + RDV group, the use of oxygen supplementation (94 vs. 80%, p = 0.005) and steroids (97 vs. 88%, p = 0.027) during infection were higher, while patients presented at their post-COVID visits earlier (median 68 vs. 97 days, p = 0.003). Complete or at least 50% symptom resolution were reported at a significantly earlier stage after infection in the SOC + RDV group compared to the SOC group (multivariable-adjusted HR = 2.28, 95% CI = 1.33-3.92, p = 0.003; and HR = 2.08, 95% CI = 1.43-3.02, p < 0.001; respectively). In the SOC + RDV group, fewer patients experienced sleep disturbances at PCC, and sleep-related questionnaires (Pittsburg Sleep Quality Index, PSQI) results showed significantly better sleep quality (14 vs. 27% and 5.9 vs. 7.7 points, respectively). There were no notable differences in results of PF tests, 6MWT, and other QoL questionnaires.

CONCLUSION

In this propensity score matched cohort, the use of RDV was associated with earlier patient reported symptom resolution during the PCC period, while there were no notable differences in functional outcomes. Our results indicate a possible beneficial effect of RDV in terms of faster symptom resolution after COVID19 infection.

Global Prevalence of Long COVID, its Subtypes and Risk factors: An Updated Systematic Review and Meta-Analysis

Importance

Updated knowledge regarding the global prevalence of long COVID (or post-COVID-19 condition), its subtypes, risk factors, and variations across different follow-up durations and geographical regions is necessary for informed public health recommendations and healthcare delivery.

Objective

The primary objective of this systematic review is to evaluate the global prevalence of long COVID and its subtypes and symptoms in individuals with confirmed COVID-19 diagnosis, while the secondary objective is to assess risk factors for long COVID in the same population.

Data Sources

Studies on long COVID published from July 5, 2021, to May 29, 2024, searched from PubMed, Embase, and Web of Science were used for this systematic review. Supplemental updates to the original search period were made.

Study Selection

There were four inclusion criteria: (1) human study population with confirmed COVID-19 diagnosis; (2) appropriate index diagnosis date; (3) outcome must include either prevalence, risk factors, duration, or symptoms of long COVID; and (4) follow-up time of at least two months after the index date. The exclusion criteria were: (1) non-human study population; (1) case studies or reviews; (2) studies with imaging, molecular, and/or cellular testing as primary results; (3) studies with specific populations such as healthcare workers, residents of nursing homes, and/or those living in long-term care facilities; and (4) studies that did not meet the sample size threshold needed to estimate overall prevalence with margin of error of 0.05.

Data Extraction and Synthesis

Two screeners independently performed screenings and data extraction, and decision conflicts were collectively resolved. The data were pooled using a random-effects meta-analysis framework with a DerSimonian-Laird inverse variance weighted estimator.

Main Outcomes and Measures

The primary estimand (target population parameter of interest) was the prevalence of long COVID and its subtypes among individuals with confirmed COVID-19 diagnoses, and the secondary estimand was effect sizes corresponding to ten common risk factors of long COVID in the same population.

Results

A total of 442 studies were included in this mega-systematic review, and 429 were meta-analyzed for various endpoints, avoiding duplicate estimates from the same study. Of the 442 studies, 17.9% of the studies have a high risk of bias. Heterogeneity is evident among meta-analyzed studies, where the I 2 statistic is nearly 100% in studies that estimate overall prevalence. Global estimated pooled prevalence of long COVID was 36% among COVID-19 positive individuals (95% confidence interval [CI] 33%-40%) estimated from 144 studies. Geographical variation was observed in the estimated pooled prevalence of long COVID: Asia at 35% (95% CI 25%-46%), Europe at 39% (95% CI 31%-48%), North America at 30% (95% CI 24%-38%), and South America at 51% (95% CI 35%-66%). Stratifying by follow-up duration, the estimated pooled prevalence for individuals with longer follow-up periods of 1 to 2 years (47% [95% CI 37%-57%]) compared to those with follow-up times of less than 1 year (35% [95% CI 31%-39%]) had overlapping CI and were therefore not statistically distinguishable. Top five most prevalent long COVID subtypes among COVID-19 positive cases were respiratory at 20% (95% CI 14%-28%) estimated from 31 studies, general fatigue at 20% (95% CI 18%-23%) estimated from 121 studies, psychological at 18% (95% CI 11%-28%) estimated from 10 studies, neurological at 16% (95% CI 8%-30%) estimated from 23 studies, and dermatological at 12% (95% CI 8%-17%) estimated from 10 studies. The most common symptom based on estimated prevalence was memory problems estimated at 11% (95% CI 7%-19%) meta-analyzed from 12 studies. The three strongest risk factors for long COVID were being unvaccinated for COVID-19, pre-existing comorbidity, and female sex. Individuals with any of these risk factors had higher odds of having long COVID with pooled estimated odds ratios of 2.34 (95% CI 1.49-3.67) meta-analyzed from 6 studies, 1.59 (95% CI 1.28-1.97) from 13 studies, and 1.55 (95% CI 1.25-1.92) from 22 studies, respectively.

Conclusions and Relevance

This study shows long COVID is globally prevalent in the COVID-19 positive population with highly varying estimates. The prevalence of long COVID persists over extended follow-up, with a high burden of symptoms 1 to 2 years post-infection. Our findings highlight long COVID and its subtypes as a continuing health challenge worldwide. The heterogeneity of the estimates across populations and geographical regions argues for the need for carefully designed follow-up with representative studies across the world.

Cognitive function and brain structure in COVID-19 survivors: The role of persistent symptoms

Persistent COVID-19 symptoms post-acute state have been shown to have a significant negative impact on brain structure and function. In this study, we conducted magnetic resonance imaging (MRI) of the whole brain in 43 working-age adults (mean age: 44.79±10.80; range: 24-65 years) with a history of COVID-19 (731.17±312.41 days post-diagnosis), and also assessed their cognitive function (processing speed, attention, working memory, executive function, and recognition memory), mental health, and sleep quality. MRI data were processed using FSL to derive regional volumes for bilateral nucleus accumbens, caudate, pallidum, putamen, thalamus, amygdala, and hippocampus, and total grey matter, white matter, and cerebral spinal fluid volume, and analysed in relation to persistent COVID-19 symptom load, mental health, and sleep quality. Higher persistent COVID-19 symptom load was significantly associated with smaller putamen volume, lower response accuracy on working memory, executive function, and recognition memory tasks, as well as a longer time to complete the executive function task, and poorer mental health and sleep quality. Smaller putamen fully mediated the relationship between persistent COVID-19 symptom load and lower executive function. Further research is required to confirm whether reduced putamen volume and its association with poor executive function persists in COVID-19 survivors in the long term.

Mitochondria and the Repurposing of Diabetes Drugs for Off-Label Health Benefits

This review describes our current understanding of the role of the mitochondria in the repurposing of the anti-diabetes drugs metformin, gliclazide, GLP-1 receptor agonists, and SGLT2 inhibitors for additional clinical benefits regarding unhealthy aging, long COVID, mental neurogenerative disorders, and obesity. Metformin, the most prominent of these diabetes drugs, has been called the "Drug of Miracles and Wonders," as clinical trials have found it to be beneficial for human patients suffering from these maladies. To promote viral replication in all infected human cells, SARS-CoV-2 stimulates the infected liver cells to produce glucose and to export it into the blood stream, which can cause diabetes in long COVID patients, and metformin, which reduces the levels of glucose in the blood, was shown to cut the incidence rate of long COVID in half for all patients recovering from SARS-CoV-2. Metformin leads to the phosphorylation of the AMP-activated protein kinase AMPK, which accelerates the import of glucose into cells via the glucose transporter GLUT4 and switches the cells to the starvation mode, counteracting the virus. Diabetes drugs also stimulate the unfolded protein response and thus mitophagy, which is beneficial for healthy aging and mental health. Diabetes drugs were also found to mimic exercise and help to reduce body weight.

Long COVID in transgender and gender nonbinary people in the United States

Despite recommendations in the US National Research Action Plan on Long COVID, gender identity is rarely reported in research and surveillance used to guide public health programming and clinical care. We analyzed data from a cross-sectional study of COVID-19 in a nationwide sample of transgender and nonbinary (TNB) people (N = 2,134). Participants were surveyed between June 14, 2021 and May 1, 2022. Data were restricted to 817 participants who reported confirmed or suspected COVID-19 to estimate the prevalence of long COVID, defined as symptoms persisting for ≥ 3 months. Ten percent of participants with a history of COVID-19 reported symptom duration consistent with long COVID, ranging from 4.8% to 12.9% across gender identities. Long COVID was most common in transmasculine and nonbinary people assigned female sex at birth. There was no evidence of an association with reported hormone therapy, supporting current recommendations that prioritize gender-affirming care during treatment for long COVID. As a condition which profoundly impacts health and productivity, long COVID is likely to exacerbate existing disparities. Principles of equity demand that we reduce barriers to prevention, diagnosis, and care for long COVID, and ensure that research and surveillance are inclusive of TNB people and disaggregate findings by gender identity.

Sex Differences in Long COVID

Importance

A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain.

Objective

To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection.

Design, Setting, and Participants

This cohort study used data from the National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER)-Adult cohort, which consists of individuals enrolled in and prospectively followed up at 83 sites in 33 US states plus Washington, DC, and Puerto Rico. Data were examined from all participants enrolled between October 29, 2021, and July 5, 2024, who had a qualifying study visit 6 months or more after their initial SARS-CoV-2 infection.

Exposure

Self-reported sex (male, female) assigned at birth.

Main Outcomes and Measures

Development of long COVID, measured using a self-reported symptom-based questionnaire and scoring guideline at the first study visit that occurred at least 6 months after infection. Propensity score matching was used to estimate risk ratios (RRs) and risk differences (95% CIs). The full model included demographic and clinical characteristics and social determinants of health, and the reduced model included only age, race, and ethnicity.

Results

Among 12 276 participants who had experienced SARS-CoV-2 infection (8969 [73%] female; mean [SD] age at infection, 46 [15] years), female sex was associated with higher risk of long COVID in the primary full (RR, 1.31; 95% CI, 1.06-1.62) and reduced (RR, 1.44; 95% CI, 1.17-1.77) models. This finding was observed across all age groups except 18 to 39 years (RR, 1.04; 95% CI, 0.72-1.49). Female sex was associated with significantly higher overall long COVID risk when the analysis was restricted to nonpregnant participants (RR, 1.50; 95%: CI, 1.27-1.77). Among participants aged 40 to 54 years, the risk ratio was 1.42 (95% CI, 0.99-2.03) in menopausal female participants and 1.45 (95% CI, 1.15-1.83) in nonmenopausal female participants compared with male participants.

Conclusions and Relevance

In this prospective cohort study of the NIH RECOVER-Adult cohort, female sex was associated with an increased risk of long COVID compared with male sex, and this association was age, pregnancy, and menopausal status dependent. These findings highlight the need to identify biological mechanisms contributing to sex specificity to facilitate risk stratification, targeted drug development, and improved management of long COVID.

Prevalence of COVID-19 and Long COVID by Industry and Occupation: Behavioral Risk Factor Surveillance System 2022

BACKGROUND

Workers in healthcare and other essential occupations had elevated risks for COVID-19 infection early in the pandemic. No survey of U.S. workers to date has comprehensively assessed the prevalence of both COVID-19 and Long COVID across industries and occupations (I&O) at a detailed level.

METHODS

Behavioral Risk Factor Surveillance System data for 2022 from 39 states, Guam, and the U.S. Virgin Islands were used to estimate prevalence of self-reported history of COVID-19 and Long COVID, as well as the prevalence of Long COVID among those reporting prior COVID-19, by broad and detailed I&O. Adjusted prevalence ratios were used to compare outcome prevalence in each I&O to prevalence among all other workers combined.

RESULTS

By broad I&O, workers in healthcare, protective services, and education had elevated prevalences of COVID-19. The prevalence of Long COVID was elevated in healthcare and protective service but not education workers. Detailed I&O with significantly elevated prevalences of COVID-19 but not Long COVID included Dairy Product Manufacturing industry workers and subsets of mining workers. Both COVID-19 and Long COVID were elevated among bartenders/drinking places and personal care and appearance workers. The prevalence of Long COVID was elevated among farmworkers who reported having had COVID-19.

CONCLUSIONS

Industries and occupations with elevated levels of COVID-19 or Long COVID in this study may warrant increased measures to prevent transmission of airborne respiratory viruses. Accommodations are a key component for supporting workers in all workplaces. This new information about the distribution of Long COVID by I&O suggests where employer understanding and implementation of tailored workplace supports and accommodations are most needed to support continued employment of affected workers.

The Impact of Vaccination on COVID-19, Influenza, and Respiratory Syncytial Virus-Related Outcomes: A Narrative Review

Vaccination represents a core preventive strategy for public health, with interrelated and multifaceted effects across health and socioeconomic domains. Beyond immediate disease prevention, immunization positively influences downstream health outcomes by mitigating complications of preexisting comorbidities and promoting healthy aging. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza virus, and respiratory syncytial virus (RSV) are common respiratory viruses responsible for broad societal cost and substantial morbidity and mortality, particularly among at-risk individuals, including older adults and people with frailty or certain comorbid conditions. In this narrative review, we summarize the overall impact of vaccination for these 3 viruses, focusing on mRNA vaccines, each of which exhibits unique patterns of infection, risk, and transmission dynamics, but collectively represent a target for preventive strategies. Vaccines for COVID-19 (caused by SARS-CoV-2) and influenza are effective against the most severe outcomes, such as hospitalization and death; these vaccines represent the most potent and cost-effective interventions for the protection of population and individual health against COVID-19 and influenza, particularly for older adults and those with comorbid conditions. Based on promising results of efficacy for the prevention of RSV-associated lower respiratory tract disease, the first RSV vaccines were approved in 2023. Immunization strategies should account for various factors leading to poor uptake, including vaccine hesitancy, socioeconomic barriers to access, cultural beliefs, and lack of knowledge of vaccines and disease states. Coadministration of vaccines and combination vaccines, such as multicomponent mRNA vaccines, offer potential advantages in logistics and delivery, thus improving uptake and reducing barriers to adoption of new vaccines. The success of the mRNA vaccine platform was powerfully demonstrated during the COVID-19 pandemic; these and other new approaches show promise as a means to overcome existing challenges in vaccine development and to sustain protection against viral changes over time.A graphical abstract and video abstract is available with this article.

Tackling persistent neurological symptoms in patients following acute COVID-19 infection: an update of the literature

INTRODUCTION

The COVID-19 pandemic has taught myriad lessons and left several questions we are yet to comprehend. Initially, the scientific community was concerned with the management of acute disease and immunization. Once the peak of the pandemic receded, it became clear that a proportion of patients were far from fully recovered. Researchers started to recognize those persisting symptoms as a new entity termed 'Long COVID,' where neurological symptoms are evident and have a major impact on quality of life.

AREAS COVERED

The main purpose of this narrative review is to analyze and synthesize the current literature regarding Long COVID, its relation to the nervous system, and to explore the evidence on treatments for persistent neurological symptoms. The most common reported and observed neurologic manifestations include fatigue, cognitive impairment, pain, polyneuropathy, and neuropsychiatric disorders. A variety of pharmacologic and non-pharmacologic therapies have been evaluated and yielded mixed results. Many of them focused on immunomodulation and none currently have U.S. FDA approval.

EXPERT OPINION

Challenges remain in terms of clinical characterization and prognosis of Long COVID, besides understanding its pathophysiology. Standardization of biomarkers and diagnostic criteria will allow the use of common nomenclature and data elements in the design of future clinical studies.

Persistent symptoms and clinical findings in adults with post-acute sequelae of COVID-19/post-COVID-19 syndrome in the second year after acute infection: A population-based, nested case-control study

BACKGROUND

Self-reported health problems following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are common and often include relatively non-specific complaints such as fatigue, exertional dyspnoea, concentration or memory disturbance and sleep problems. The long-term prognosis of such post-acute sequelae of COVID-19/post-COVID-19 syndrome (PCS) is unknown, and data finding and correlating organ dysfunction and pathology with self-reported symptoms in patients with non-recovery from PCS is scarce. We wanted to describe clinical characteristics and diagnostic findings among patients with PCS persisting for >1 year and assessed risk factors for PCS persistence versus improvement.

METHODS AND FINDINGS

This nested population-based case-control study included subjects with PCS aged 18-65 years with (n = 982) and age- and sex-matched control subjects without PCS (n = 576) according to an earlier population-based questionnaire study (6-12 months after acute infection, phase 1) consenting to provide follow-up information and to undergo comprehensive outpatient assessment, including neurocognitive, cardiopulmonary exercise, and laboratory testing in four university health centres in southwestern Germany (phase 2, another 8.5 months [median, range 3-14 months] after phase 1). The mean age of the participants was 48 years, and 65% were female. At phase 2, 67.6% of the patients with PCS at phase 1 developed persistent PCS, whereas 78.5% of the recovered participants remained free of health problems related to PCS. Improvement among patients with earlier PCS was associated with mild acute index infection, previous full-time employment, educational status, and no specialist consultation and not attending a rehabilitation programme. The development of new symptoms related to PCS among participants initially recovered was associated with an intercurrent secondary SARS-CoV-2 infection and educational status. Patients with persistent PCS were less frequently never smokers (61.2% versus 75.7%), more often obese (30.2% versus 12.4%) with higher mean values for body mass index (BMI) and body fat, and had lower educational status (university entrance qualification 38.7% versus 61.5%) than participants with continued recovery. Fatigue/exhaustion, neurocognitive disturbance, chest symptoms/breathlessness and anxiety/depression/sleep problems remained the predominant symptom clusters. Exercise intolerance with post-exertional malaise (PEM) for >14 h and symptoms compatible with myalgic encephalomyelitis/chronic fatigue syndrome were reported by 35.6% and 11.6% of participants with persistent PCS patients, respectively. In analyses adjusted for sex-age class combinations, study centre and university entrance qualification, significant differences between participants with persistent PCS versus those with continued recovery were observed for performance in three different neurocognitive tests, scores for perceived stress, subjective cognitive disturbances, dysautonomia, depression and anxiety, sleep quality, fatigue and quality of life. In persistent PCS, handgrip strength (40.2 [95% confidence interval (CI) [39.4, 41.1]] versus 42.5 [95% CI [41.5, 43.6]] kg), maximal oxygen consumption (27.9 [95% CI [27.3, 28.4]] versus 31.0 [95% CI [30.3, 31.6]] ml/min/kg body weight) and ventilatory efficiency (minute ventilation/carbon dioxide production slope, 28.8 [95% CI [28.3, 29.2]] versus 27.1 [95% CI [26.6, 27.7]]) were significantly reduced relative to the control group of participants with continued recovery after adjustment for sex-age class combinations, study centre, education, BMI, smoking status and use of beta blocking agents. There were no differences in measures of systolic and diastolic cardiac function at rest, in the level of N-terminal brain natriuretic peptide blood levels or other laboratory measurements (including complement activity, markers of Epstein-Barr virus [EBV] reactivation, inflammatory and coagulation markers, serum levels of cortisol, adrenocorticotropic hormone and dehydroepiandrosterone sulfate). Screening for viral persistence (PCR in stool samples and SARS-CoV-2 spike antigen levels in plasma) in a subgroup of the patients with persistent PCS was negative. Sensitivity analyses (pre-existing illness/comorbidity, obesity, medical care of the index acute infection) revealed similar findings. Patients with persistent PCS and PEM reported more pain symptoms and had worse results in almost all tests. A limitation was that we had no objective information on exercise capacity and cognition before acute infection. In addition, we did not include patients unable to attend the outpatient clinic for whatever reason including severe illness, immobility or social deprivation or exclusion.

CONCLUSIONS

In this study, we observed that the majority of working age patients with PCS did not recover in the second year of their illness. Patterns of reported symptoms remained essentially similar, non-specific and dominated by fatigue, exercise intolerance and cognitive complaints. Despite objective signs of cognitive deficits and reduced exercise capacity, there was no major pathology in laboratory investigations, and our findings do not support viral persistence, EBV reactivation, adrenal insufficiency or increased complement turnover as pathophysiologically relevant for persistent PCS. A history of PEM was associated with more severe symptoms and more objective signs of disease and might help stratify cases for disease severity.

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

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

Novel approaches for preventing COVID-19 infection in immunocompromised patients with hematologic malignancies

INTRODUCTION

COVID-19 is a continuing challenge for immunocompromised patients with hematological malignancies. Such patients are at increased risk for complications, including hospitalization, respiratory failure, delayed anti-cancer therapies, and even death. In addition to non-pharmacologic interventions, the main strategies for prevention in such patients are vaccination and pre-exposure prophylaxis.

AREAS COVERED

In this narrative review, which relied on a review of the PubMed and bioRxiv databases (starting 1 November 2019), we summarize the epidemiology of COVID-19 and vaccine responses in patients with hematological malignancies and the use of antiviral agents as prophylaxis. A limitation to vaccination is suboptimal immune responses in immunocompromised patients, particularly those with abnormalities in lymphocyte count and function. A limitation to prophylaxis, which has only been proven effective for antiviral monoclonal antibodies (mAbs), is the emergence of resistant strains in the general population.

EXPERT OPINION

For immunocompromised patients with hematological malignancies, we recommend vaccinations as guided by evolving US Centers for Disease Control and Prevention (CDC) recommendations, consideration of pre-exposure prophylaxis with antiviral mAbs, providing that they are effective against circulating viral strains, and rapid diagnostic testing linked to early therapy for the prevention of severe complications of COVID-19 in those who have broken through the prevention strategies.

Clinical Comparison of Post-intensive Care Syndrome and Long Coronavirus Disease

Post-intensive care syndrome (PICS) encompasses persistent physical, psychological, and cognitive impairments. The coronavirus disease of 2019 (COVID-19) pandemic highlighted parallels between PICS and "long COVID". There is an overlap between the 2 in risk factors, symptoms, and pathophysiology. Physical impairments in both include weakness and fatigue. Cognitive impairments include executive dysfunction in PICS and "brain fog" in long COVID. Mental health issues consist of depression, anxiety, and posttraumatic stress disorder in both disease states. Long COVID and PICS impact families, with multifaceted effects on physical health, mental well-being, and socioeconomic stability. Understanding these syndromes is crucial for comprehensive patient care and family support.

Therapeutic BCG vaccine protects against long COVID: The BATTLE randomized clinical trial

BACKGROUND

Bacillus Calmette-Guérin (BCG) injected during the COVID-19 convalescence period was safe and enhanced recovery from anosmia and dysgeusia in the acute phase.

OBJECTIVES

To report the long-term results of the BATTLE trial, BCG vaccine in adults with mild COVID-19.

METHODS

Design: Double-blind, placebo-controlled, randomized (1:1) clinical trial.

INTERVENTION

BCG intradermal vaccine and placebo.

PATIENTS

A total of 157 BCG and 142 placebo recipients participated in the 6-month follow-up, and 97 BCG and 95 placebo recipients participated in the 12-month follow-up.

MEASUREMENTS

Long COVID symptoms and mechanistic analyses.

RESULTS

BCG reduced hearing problems at 6 months (odds ratio [OR] = 0.26) and sleeping, concentration, memory, and vision problems at 12 months (OR = 0.45, 0.36, 0.38, and 0.36, respectively). Sensitivity analyses confirmed that long COVID-19 symptoms were reduced at the 6- and 12-month follow-ups (p = 0.010 and 0.031, respectively). BCG's crossover interaction paradoxically increased hair loss in women and decreased it in men at 6 months (p = 0.032). BCG immunomodulation is likely mediated through inhibition of Fas ligand expression in the blood and increased induction of IL6, IL10, interferon-induced transmembrane protein 3, and angiotensin-converting enzyme 2 in cultured human macrophages.

CONCLUSION

Long-term follow-up of the BATTLE trial participants revealed that BCG protects against long COVID development if administered within the COVID-19 convalescence period. The response to BCG was subject-specific, including a paradoxical crossover interaction based on sex.

LIMITATIONS

Not tested for previous mycobacterial exposure; loss to follow-up, particularly at 12 months.

Post-acute sequelae of COVID-19 3 to 12 months after infection: Delta vs Omicron

OBJECTIVES

Studies have shown temporal changes in post-acute sequelae of COVID-19 (PASC) prevalence for early SARS-CoV-2 variants, although often lacking controls. This prospective study assesses the prevalence of symptoms in Delta- and Omicron-infected cases up to 12 months compared with population controls.

METHODS

Adult participants filled out surveys every 3 months (T0-T12) between July 2021 and August 2023. Cases were recruited with a positive SARS-CoV-2 test during the Delta or Omicron domination. Population controls were randomly invited from the Dutch Personal Records Database. Participants indicated the presence of 13 PASC-associated symptoms, and severity scores of fatigue, cognitive impairment, dyspnea, and pain. PASC prevalence was defined as the excess prevalence of havingat least one PASC-associated symptom in cases compared with population controls.

RESULTS

PASC prevalence was 34.3% at T3 and decreased to 21.7% at T12 for Delta and decreased from 18.7% at T3 to 16.7% at T12 for Omicron. At T12, the difference between Delta and Omicron was not significant. Delta cases generally had higher excess symptom scores for fatigue, dyspnea, and cognitive impairment than Omicron.

CONCLUSIONS

In the first 9 months after infection, PASC prevalence was higher for Delta than Omicron, but the difference reduced over time and approximated after 12 months.

Association between childhood abuse and risk of post-COVID-19 conditions: Results from three large prospective cohort studies

BACKGROUND

Significant early life adversities, such as childhood sexual and physical/emotional abuse, are associated with risk of poor health outcomes but are understudied risk factors for post-COVID-19 conditions. In this prospective study, we examined the associations between combined exposure to sexual and physical/emotional abuse during childhood with risk of post-COVID-19 conditions in adulthood. Additionally, we explored the extent to which lifestyle, health-related and psychological factors explain this association.

METHODS

We used data from three large, ongoing cohorts: Nurses' Health Study (NHS)-II, NHS3, and the Growing Up Today Study. Between April 2020 and November 2021, participants responded to periodic COVID-19 surveys. Participants were included if they responded to a questionnaire about childhood abuse, subsequently tested positive for SARS-CoV-2 infection and responded to questions about post-COVID-19 conditions. Childhood sexual abuse was measured before the COVID-19 pandemic with the Sexual Maltreatment Scale of the Parent-Child Conflict Tactics Scale, and physical/emotional abuse was measured with the Physical and Emotional Abuse Subscale of the Childhood Trauma Questionnaire. Post-COVID-19 conditions, defined as COVID-19-related symptoms lasting 4 weeks or longer (e.g., fatigue, dyspnea), were self-reported in the final COVID-19 questionnaire in November 2021. Sexual abuse and physical/emotional abuse were examined separately and jointly in relation to post-COVID-19 conditions. Data on key lifestyle (e.g., cigarette smoking), health-related (e.g., asthma, diabetes), and psychological factors (e.g., depression and anxiety) were obtained.

RESULTS

Of 2851 participants, the mean age (range) was 55.8 (22.0-75.0) years; 2789 (97.8 %) were females, and 2750 (96.5 %) were whites. We observed a dose-dependent relationship between severity of childhood abuse and post-COVID conditions (p-trend:<0.0001); participants with severe versus no childhood abuse had a 42 % higher subsequent risk of post-COVID conditions [relative risk (95 % confidence interval): 1.42 (1.25 to 1.61)]. Key lifestyle, health-related, and psychological factors mediated 25.5 % of this association. Both sexual and physical/emotional abuse, were independently associated with post-COVID conditions.

CONCLUSIONS

In this prospective study of 2851 participants, childhood abuse was significantly associated with increased risk of post-COVID conditions. Biological pathways connecting childhood abuse with subsequent risk of post-COVID conditions should be investigated.

Refinement of post-COVID condition core symptoms, subtypes, determinants, and health impacts: a cohort study integrating real-world data and patient-reported outcomes

BACKGROUND

Post-COVID-19 condition (PCC) affects millions of people, and is an essential component of the long-term impact of COVID-19 during the post-pandemic era. Yet, consensus on clinical case definition and core components of PCC remains lacking, affecting our ability to inform research and evidence-based management. Our study aims 1) to identify the most specific symptoms for PCC, and identify clinical subtypes; 2) to evaluate both virus- and host-related determinants of PCC, and 3) assess the impact of PCC on physical and mental health.

METHODS

We studied participants from UK Biobank who completed a health and wellbeing survey between June and September 2022. Participants reported the current conditions of the presence, duration, and functional limitations of 45 symptoms, using an online questionnaire designed specifically for COVID-19 research. SARS-CoV-2 infection status and disease history were obtained through linkage to surveillance data and electronic medical records, respectively. Participants reporting symptoms within 30 days after infection (acute phase) were excluded. The most specific PCC symptoms were defined using two criteria: statistical significance (P < 0.05 after Bonferroni correction) and clinical relevance (absolute risk increase > 5%). Propensity score weighting was used to control for confounding. Subtypes of PCC were then defined based on the specific symptoms among the COVID-19 infected individuals. A multivariable regression was used to study pathogen- and host-related risk factors for PCC, and its impact on 13 physical and 4 mental health patient-reported functional outcomes.

FINDINGS

172,303 participants (mean age 68.9, 57.4% female) were included in the analysis, of whom 43,395 had PCR-confirmed COVID-19. We identified 10 most specific symptoms and classified four PCC subtypes: ENT subtype (30.1%), characterized by alterations in smell, taste, and hearing loss; cardiopulmonary subtype (10.4%), characterized by shortness of breath, postural tachycardia, chest tightness, and chest pressure; neurological subtype (23.5%), characterized by brain fog and difficulty speaking; and general fatigue subtype (38.0%), characterized by mild fatigue. A higher PCC risk was observed for patients with Wild-type variant, multiple infections, and severe acute COVID-19 illness, consistently across the four PCC subtypes. In addition, a range of factors, including socioeconomic deprivation, higher BMI, unhealthy lifestyle, and multiple chronic health conditions, were associated with increased PCC risk, except for age and sex. Conversely, vaccination was associated with a largely reduced PCC risk, particularly for the cardiopulmonary subtypes. Individuals with PCC experienced a much worse physical and mental health. Specifically, the cardiopulmonary subtype had the most pronounced adverse impact on function impairments, followed by neurological, mild fatigue, and ENT subtype. The most affected functions included the ability to concentrate, participate in day-to-day work, and emotional vulnerability to health problems.

INTERPRETATION

PCC can be categorized into four distinct subtypes based on ten core symptoms. These subtypes appeared to share a majority of pathogen and host-related risk factors, but their impact on health varied markedly by subtype. Our findings could help refine current guidelines for precise PCC diagnosis and progression, enhance the identification of PCC subgroups for targeted research, and inform evidence-based policy making to tackle this new and debilitating condition.

FUNDING

NIHR Senior Research Fellowship (grant SRF-2018-11-ST2-004).

Long COVID: Pathophysiology, current concepts, and future directions

Long COVID, an umbrella term referring to a variety of symptoms and clinical presentations that emerges in a subset of patients after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has a significant effect on quality of life and places a substantial burden on health care systems worldwide, straining financial and human resources. The pathophysiology of long COVID remains incompletely understood, though several hypotheses have been proposed to explain different aspects of this complex condition. SARS-CoV-2 persistence, direct organ damage, innate and adaptive immune system perturbation, autoimmunity, latent virus reactivation, endothelial dysfunction, and microbiome disturbances are among the most relevant avenues for elucidating the evolution, complexity, and mechanisms of long COVID. Active investigation regarding potential biomarkers for long COVID and its associated disease endotypes highlights the role of inflammatory mediators, immunophenotyping, and multiomics approaches. Further advances in understanding long COVID are needed to inform current and future therapeutics.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

The impact of gut microbiome and diet on post-acute sequelae of SARS-CoV-2 infection

Long COVID, also known as Post COVID-19 condition by the World Health Organization or Post-Acute Sequelae of SARS-CoV-2 infection (PASC), is defined as the development of symptoms such as post-exertional malaise, dysgeusia, and partial or full anosmia three months after initial SARS-CoV-2 infection. The multisystem effects of PASC make it difficult to distinguish from its mimickers. Further, a comprehensive evaluation of the gut microbiome, nutrition, and PASC has yet to be studied. The gut-brain axis describes bidirectional immune, neural, endocrine, and humoral modulatory interactions between the gut microbiome and brain function. We explore recent studies that support an association between alterations in gut microbiome diversity and the severity of acute-phase COVID-19, and how these may be affected by diets rich in antioxidants and fiber. The Mediterranean Diet (MeDi) has demonstrated promising neuroprotective effects through its anti-inflammatory processes. Further, diets rich in fiber increase gut diversity and increase the amount of short-chain fatty acids (SCFAs) within the body-both shown to protect from acute COVID-19 complications. Long-term changes to the gut microbiome persist after acute infection and may increase susceptibility to PASC. This study builds on existing knowledge of determinants of PASC and highlights a relationship between nutrition, gut microbiome, acute-phase COVID-19, and, subsequently, PASC susceptibility.

Hypercoagulable Rotational Thromboelastometry During Hospital Stay Is Associated with Post-Discharge DLco Impairment in Patients with COVID-19-Related Pneumonia

Hypercoagulation is central to the pathogenesis of acute and post-acute COVID-19. This prospective observational study explored whether rotational thromboelastometry (ROTEM), a method that unveils coagulation status, predicts outcomes of hospitalized patients with COVID-19 pneumonia. We investigated 62 patients using ROTEM that was conducted at enrollment, clinical deterioration, discharge and follow-up visits 1 and 3 months post-discharge. A hypercoagulable ROTEM was more common at clinical deterioration than at enrollment and the levels of hypercoagulable ROTEM indices correlated with the clinical severity score. Hypercoagulable ROTEM at enrollment was not associated with in-hospital death. Patients with hypercoagulable ROTEM at enrollment, discharge and 1 month post-discharge had an increased risk of persistent symptoms 1 and 3 months after discharge. Patients with hypercoagulable ROTEM at enrollment, discharge, and 1 month after discharge were more likely to have lung diffusion capacity (DLco) impairment 3 months after discharge. High levels of hypercoagulable ROTEM indices were associated with the increased risk of persistent symptoms at later stages of the disease. In a multivariate analysis, (i) hypercoagulable ROTEM at discharge and female gender were linked to the presence of symptoms at one month post-discharge, (ii) hypercoagulable ROTEM at one month after discharge was linked to the presence of symptoms at three months post-discharge, (iii) hypercoagulable ROTEM at enrollment and at discharge and female gender were linked to the presence of impaired DLco at three months post-discharge. Excessive coagulation may contribute to long-COVID pathogenesis and ROTEM findings during hospitalization may predict post-acute-COVID-19 sequelae in patients with COVID-19-related pneumonia.

The impact of COVID-19 on accelerating of immunosenescence and brain aging

The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has profoundly impacted global health, affecting not only the immediate morbidity and mortality rates but also long-term health outcomes across various populations. Although the acute effects of COVID-19 on the respiratory system have initially been the primary focus, it is increasingly evident that the virus can have significant impacts on multiple physiological systems, including the nervous and immune systems. The pandemic has highlighted the complex interplay between viral infection, immune aging, and brain health, that can potentially accelerate neuroimmune aging and contribute to the persistence of long COVID conditions. By inducing chronic inflammation, immunosenescence, and neuroinflammation, COVID-19 may exacerbate the processes of neuroimmune aging, leading to increased risks of cognitive decline, neurodegenerative diseases, and impaired immune function. Key factors include chronic immune dysregulation, oxidative stress, neuroinflammation, and the disruption of cellular processes. These overlapping mechanisms between aging and COVID-19 illustrate how the virus can induce and accelerate aging-related processes, leading to an increased risk of neurodegenerative diseases and other age-related conditions. This mini-review examines key features and possible mechanisms of COVID-19-induced neuroimmune aging that may contribute to the persistence and severity of long COVID. Understanding these interactions is crucial for developing effective interventions. Anti-inflammatory therapies, neuroprotective agents, immunomodulatory treatments, and lifestyle interventions all hold potential for mitigating the long-term effects of the virus. By addressing these challenges, we can improve health outcomes and quality of life for millions affected by the pandemic.

Learning from post-COVID-19 condition for epidemic preparedness: a variable catalogue for future post-acute infection syndromes

SCOPE

The emergence of post-COVID-19 condition (PCC) after SARS-CoV-2 infection underscores the critical need for preparedness in addressing future post-acute infection syndromes (PAIS), particularly those linked to epidemic outbreaks. The lack of standardized clinical and epidemiological data during the COVID-19 pandemic has significantly hindered timely diagnosis and effective treatment of PCC, highlighting the necessity of pre-emptively standardizing data collection in clinical studies to better define and manage future PAIS. In response, the Cohort Coordination Board, a consortium of European-funded COVID-19 research projects, has reviewed data from PCC studies conducted by its members. This paper leverages the Cohort Coordination Board's expertise to propose a standardized catalogue of variables, informed by the lessons learned during the pandemic, intended for immediate use in the design of future observational studies and clinical trials for emerging infections of epidemic potential.

RECOMMENDATIONS

The early implementation of standardized data collection, facilitated by the PAIS data catalogue, is essential for accelerating the identification and management of PAIS in future epidemics. This approach will enable more precise syndrome definitions, expedite diagnostic processes, and optimize treatment strategies, while also supporting long-term follow-up of affected individuals. The availability of harmonized data collection protocols will enhance preparedness across European and international cohort studies, and trials enabling a prompt and coordinated response, as well as more efficient resource allocation, in the event of emerging infections and associated PAIS.

Post-Coronavirus Disease 2019 Effects in an Active University Population: A Within-Campus Cross-Sectional Study at a Major Educational Institution

Objective

To evaluate the associations among post-coronavirus disease 2019 (COVID-19) prevalence; risk factors and comorbidities have not been firmly established within a university outpatient population.

Patients and Methods

Records from 881 COVID-19 outpatient patients (504 females [57.9%] and 366 males [42.07%]), most of whom were between 30 and 40 years of age (mean=37.3 years old; 95% CI, 36.5-38.2), with initial infection data from February 2020 to August 2022 were reviewed once, whereas the survey took place during 2 different moments during the pandemic. The first period (April 20, 2021, to June 21, 2021) yielded 279 responses, whereas in the second period (June 23, 2021, to October 4, 2021), 602 responses were recorded. The instrument used contained 20 questions across 3 main domains: general information, data related to infection and adverse effects, and service satisfaction experience.

Results

All the patients were positive for immunoglobulin G antibodies against nucleocapsid by the third week. Post-COVID-19 symptoms arose at least 2 weeks after recovery from the initial illness; 654 individuals reported at least one symptom after the acute COVID-19 period, for a post-COVID-19 prevalence of 74.96%. The most frequent symptoms were fatigue (84%), headache (71%), and difficulty concentrating (71%). More than 60% of participants reported at least one comorbidity, among which the most common ones were obesity (35.9%), smoking (17.5%), and hypertension (12.2%).

Conclusion

In this study, we assessed post-COVID-19 prevalence among outpatients and found that comorbidities were strongly related to consequences impacting quality of life and mental health burden.

Higher intraindividual variability of body mass index is associated with elevated risk of COVID-19 related hospitalization and post-COVID conditions

BACKGROUND

Cardiometabolic diseases are risk factors for COVID-19 severity. The extent that cardiometabolic health represents a modifiable factor to mitigate the short- and long-term consequences from SARS-CoV-2 remains unclear. Our objective was to evaluate the associations between intraindividual variability of cardiometabolic health indicators and COVID-19 related hospitalizations and post-COVID conditions (PCC) among a relatively healthy population.

METHODS

This retrospective, multi-site cohort study was a post-hoc analysis among individuals with cardiometabolic health data collected during routine blood donation visits in 24 US states (2009-2018) and who responded to COVID-19 questionnaires (2021-2023). Intraindividual variability of blood pressure (systolic, diastolic), total circulating cholesterol, and body mass index (BMI) were defined as the coefficient of variation (CV) across all available donation timepoints (ranging from 3 to 74); participants were categorized into CV quartiles. Associations were evaluated by multivariable binomial regressions.

RESULTS

Overall, 3344 participants provided 42,090 donations (median 9 [IQR 5, 17]). The median age was 48 years (38, 56) at the first study donation. 1.2% (N = 40) were hospitalized due to COVID-19 and 15.5% (N = 519) had PCC. Higher BMI variability was associated with greater risk of COVID-19 hospitalization (4th quartile aRR 4.15 [95% CI 1.31, 13.11], p = 0.02; 3rd quartile aRR 3.41 [95% CI 1.09, 10.69], p = 0.04). Participants with higher variability of BMI had greater risk of PCC (4th quartile aRR 1.29 [95% CI 1.02, 1.64]; p = 0.04). Intraindividual variability of blood pressure (systolic, diastolic) and total circulating cholesterol were not associated with COVID-19 hospitalization or PCC risk (all p > 0.05). From causal mediation analysis, the association between the highest quartiles of BMI variability and PCC was not mediated by hospitalization (p > 0.05).

CONCLUSIONS

Higher intraindividual variability of BMI was associated with COVID-19 hospitalization and PCC risk. Our findings underscore the need for further elucidating mechanisms that explain these associations and importance for consistent maintenance of body weight.

Long-term symptoms after SARS-CoV-2 infection in a cohort of people living with HIV

BACKGROUND

Our Hospital in Northern Italy assists 3817 people living with HIV (PLWH) and has faced the impact of COVID-19. Little is known about the impact of HIV infection on the risk of post-COVID-19 conditions (PCCs) onset. We aim to assess the incidence of PCC in PLWH and the factors associated with its occurrence.

METHODS

We performed a retrospective, observational study including all PLWH > 18 years registered in the Brescia Health Protection Agency database, assessing SARS-CoV-2 burden, vaccination status, socio-demographic, and viro-immunological parameters from February 2020 until May 2022. Persistence of self-reported symptoms (clustered into gastrointestinal, respiratory, osteo-muscular, and neuro-behavioral symptoms) was evaluated after 3 months by a telephone-administered questionnaire. We estimated the associations between all variables and outcomes through univariate and multivariable logistic models.

RESULTS

In the study period, 653 PLWH were diagnosed with SARS-CoV-2 infection (17.1%). We observed 19 (2.9%) reinfections, 71 (10.9%) hospitalizations, and 3 (0.5%) deaths. We interviewed 510/653 PLWH (78%), and 178 (PCCs prevalence 34.9%; CI 95% 30.7-39.2) reported persistent symptoms. Asthenia/fatigue was the most reported symptom (60/178), followed by muscular pain (54/178). In the multivariate regression model, there was a lower risk of PCCs in males respect to females (adjusted OR = 0.64; CI 95% 0.99-3.66), while hospitalization during acute infection was associated with an increased the risk of PCCs (adjusted OR = 1.9; CI 95% 0.99-3.66). Notably, no viro-immunological variable modified the PCCs risk onset.

CONCLUSIONS

Our study highlights a substantial prevalence of PCCs among PLWH, three months post-SARS-CoV-2 infection, independent of viro-immunological features or vaccination status.

The immune-endocrine interplay in sex differential responses to viral infection and COVID-19

Men are at higher risk for developing severe COVID-19 than women, while women are at higher risk for developing post-acute sequelae of COVID-19 (PASC). This highlights the impact of sex differences on immune responses and clinical outcomes of acute COVID-19 or PASC. A dynamic immune-endocrine interface plays an important role in the development of effective immune responses impacting the control of viral infections. In this opinion article we discuss mechanisms underlying the transcriptional and epigenetic regulation of immune responses by sex hormones during viral infections. We propose that disruption of this delicate immune-endocrine interplay can result in worsened outcomes of viral disease. We also posit that insights into these immune mechanisms can propel the development of novel immunomodulatory interventions that leverage immune-endocrine pathways to treat viral infections.

[Long-/Post-COVID symptoms in a hotspot collective of the first wave of the SARS-CoV-2 pandemic in Germany]

INTRODUCTION

Despite a high number of long/post-COVID cases and an enormous psychological strain on the part of the patients, no scientific consensus has yet been reached on a clearly defined disease entity. The comprehensive media coverage has made the public more sensitive to this topic, which makes it more difficult to take an objective perspective.

METHODS

We report on long/post-COVID symptoms in a hotspot collective of the first SARS-CoV-2 wave of infections in Germany; these infections began in Spring 2020 and therefore preceded the start of an intensive media coverage. In June/July 2021, 122 employees of the Kliniken Nordoberpfalz AG who tested positive for SARS-CoV-2 during the first wave of the pandemic were asked about their infection and its consequences using a standardised questionnaire.

RESULTS

82 participants (67 %) complained of persistent symptoms (post-COVID: 29 %). Long/post-COVID symptoms occurred more frequently in those who had experienced symptoms during the acute phase of the infection. Patients with stomach pain as an acute symptom more frequently reported a symptom duration of > 12 weeks. The probability of symptoms persisting > 12 weeks was reduced if throat pain or sniffling had been reported as an acute symptom. Emergence and duration of symptoms were independent of any demographic or occupational factors or of pre-existing conditions.

DISCUSSION

Due to having been infected in a hotspot region during the first wave of the pandemic, the study collective exhibits certain peculiarities which must be considered when interpreting the results. The lack of evidence for many risk factors discussed in the literature, together with the challenges facing scientific studies, seems to suggest a more differentiated approach to dealing with post-COVID.

Dissecting the association between long COVID and depressive symptoms in a nationally representative population from France

OBJECTIVE

Depressive symptoms may overlap with those of long COVID. This cross-sectional study aims to compare the prevalence of depressive symptoms among individuals infected with SARS-CoV-2 with versus without long COVID and to explore specific associations with each of the nine core symptoms of major depression.

METHODS

Data regarding age, gender, SARS-CoV-2 infections, current symptoms, their date of onset, impact on daily functioning, and consideration of alternative diagnoses were collected through phone interviews between September and December 2022 in a nationally representative sample of adults aged ≥18. Data on chronic health conditions and depressive symptoms (PHQ-9) were collected online in infected participants with or without long COVID, according to the WHO definition of the post-COVID-19 condition.

RESULTS

Among 1247 participants (mean age (SD): 48.3 (14.3) years, 53.3 % of women), 12.8 % had long COVID and 87.2 % experienced SARS-CoV-2 infection at least 3 months prior to the survey without long COVID. Participant with long COVID were four-fold more likely to have a PHQ-9 score ≥ 10 than those without (44.0 % versus 11.1 %). Three symptoms out of nine were independently associated with long COVID: little interest or pleasure (aOR [95 % CI]: 2.01 [1.03-3.92]), feeling tired or having little energy (1.92 [1.10-3.33]), and poor attention/concentration (2.02 [1.03-3.96]).

CONCLUSION

Clinicians should screen patients with long COVID for major depression but associations with specific depressive symptoms suggest some clinical overlap. Future studies should consider the course of each depressive symptom separately and focus on those less prone to overlap with symptoms of long COVID.