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

Parenting and Gender as Impact Factors for Social Participation, Quality of Life, and Mental Health in Long COVID

OBJECTIVES

This study aims to investigate the impact of gender and parental tasks on social participation, health-related quality of life (hrQoL), and mental health in persons with long COVID.

METHODS

A mixed-methods approach was followed including a cross-sectional web-based survey and semi-structured interviews. Multivariable linear regressions were used to quantify the effect of gender and parenting tasks on social participation, hrQoL, and mental health. Qualitative data from interviews with participants experiencing long COVID symptoms was analyzed using content analysis.

RESULTS

Data from 920 participants in the quantitative study and 25 participants in the qualitative study was analyzed. Parenting tasks were associated with increased impairments in family and domestic responsibilities in persons with long COVID compared to lower impairments in persons without long COVID (P = .02). The qualitative data indicate that coping with long COVID and pursuing parenting tasks limit participants' ability to perform leisure activities and attend social gatherings. In long COVID, men had higher anxiety symptoms than women, and in those without long COVID, the opposite was observed (P < .001). In the qualitative study, participants expressed feelings of dejection and pessimism about their future private, occupational, and health situations. No differences between the genders could be observed.

CONCLUSIONS

Long COVID is associated with impairments in family and domestic responsibilities in individuals who have parenting tasks. Among participants with long COVID, anxiety symptoms are higher in men than women.

Impact of sex and gender on post-COVID-19 syndrome, Switzerland, 2020

BackgroundWomen are overrepresented among individuals with post-acute sequelae of SARS-CoV-2 infection (PASC). Biological (sex) as well as sociocultural (gender) differences between women and men might account for this imbalance, yet their impact on PASC is unknown.AimWe assessed the impact of sex and gender on PASC in a Swiss population.MethodOur multicentre prospective cohort study included 2,856 (46% women, mean age 44.2 ± 16.8 years) outpatients and hospitalised patients with PCR-confirmed SARS-CoV-2 infection.ResultsAmong those who remained outpatients during their first infection, women reported persisting symptoms more often than men (40.5% vs 25.5% of men; p < 0.001). This sex difference was absent in hospitalised patients. In a crude analysis, both female biological sex (RR = 1.59; 95% CI: 1.41-1.79; p < 0.001) and a score summarising gendered sociocultural variables (RR = 1.05; 95% CI: 1.03-1.07; p < 0.001) were significantly associated with PASC. Following multivariable adjustment, biological female sex (RR = 0.96; 95% CI: 0.74-1.25; p = 0.763) was outperformed by feminine gender-related factors such as a higher stress level (RR = 1.04; 95% CI: 1.01-1.06; p = 0.003), lower education (RR = 1.16; 95% CI: 1.03-1.30; p = 0.011), being female and living alone (RR = 1.91; 95% CI: 1.29-2.83; p = 0.001) or being male and earning the highest income in the household (RR = 0.76; 95% CI: 0.60-0.97; p = 0.030).ConclusionSpecific sociocultural parameters that differ in prevalence between women and men, or imply a unique risk for women, are predictors of PASC and may explain, at least in part, the higher incidence of PASC in women. Once patients are hospitalised during acute infection, sex differences in PASC are no longer evident.

Post-COVID-19 condition in pregnant and postpartum women: a long-term follow-up, observational prospective study

Background

Post-COVID-19 condition has recently been defined as new or persistent common COVID-19 symptoms occurring three months after disease onset. The pathology of the disease is unclear, but immune and vascular factors seem to play a significant role. The incidence, severity, and implications of the disease after COVID-19 infection in pregnancy have not been established. We aimed to study the incidence and main risk factors for post-COVID-19 condition in an obstetric population and their implications for maternal and perinatal morbimortality.

Methods

This is a prospective observational cohort study undertaken including women during pregnancy or at admission for labour with acute COVID-19 infection from March 9th, 2020 to June 11th, 2022. The inclusion criteria were confirmed acute COVID-19 infection during the recruitment period, a lack of significant language barrier and consent for follow-up. Patients were clinically followed-up by telephone via semi structured questionnaires. The exclusion criteria were loss to follow-up, spontaneous miscarriage, and legal termination of pregnancy. Patients were classified into groups according to the severity of symptoms at onset. We included patients from the first six first waves of the pandemic according to national epidemiological data in Spain. We studied the incidence of post-COVID-19 condition and their main demographic, clinical and obstetric risk factors.

Findings

A total of 409 pregnant women were recruited at acute diagnosis, and 286 were followed-up. The mean time to follow-up was 92 weeks (standard deviation ± 28 weeks; median 100 weeks (Interquartile range: 76; 112)). A total of 140 patients had at least one post-COVID-19 symptom at least three months after acute infection. Neurological (60%) and cutaneous (55%) manifestations were the most frequent findings. The following profiles were identified as presenting a higher risk of post-COVID-19 condition: migrant women born in countries with lower Human Development Index; multiparous women; women with COVID-19 during pregnancy, mainly during the first and third trimesters, and in the first and second waves of the pandemic; women who had a higher number of symptoms; women who had a higher incidence of moderate and severe symptoms; women who required hospitalisation due to COVID-19 complications; and women who were not vaccinated before disease onset. We did not find any significant difference in perinatal results, such as gestational week at delivery, birthweight, the need for neonatal care or 5-min Apgar score, and newborns benefited from a high rate of breastfeeding at discharge. Women who were infected during successive waves of the pandemic had a significant and constant decrease in the risk of post-COVID-19 condition comparing to estimated risk in the first wave (OR: 0.70; 95% CI: 0.62, 0.92). Symptoms tended to resolve over time heterogeneously. Symptoms of myalgia and arthralgia took longer to resolve (mean of 60 weeks and 54 weeks, respectively). In a small but significant proportion of patients, neurological and psycho-emotional symptoms tended to become chronic after 90 weeks.

Interpretation

At least 34.2% of obstetric patients from our cohort with acute COVID-19 infection presented post-COVID-19 condition symptoms. Demographic and acute disease characteristics as well as specific pregnancy-related risk factors were identified. This is the first study to assess post-COVID-19 condition in pregnant women. Further analysis on the biological pathophysiology of post-COVID-19 is needed to explain the characteristics of the disease.

Funding

This study has been funded by Instituto de Salud Carlos III (ISCIII) through the project "PI21/01244" and co-funded by the European Union, as well as P2022/BMD-7321 (Comunidad de Madrid) and ProACapital, Halekulani S.L. and MJR.

Chronic Lung Injury after COVID-19 Pneumonia: Clinical, Radiologic, and Histopathologic Perspectives

With the COVID-19 pandemic having lasted more than 3 years, concerns are growing about prolonged symptoms and respiratory complications in COVID-19 survivors, collectively termed post-COVID-19 condition (PCC). Up to 50% of patients have residual symptoms and physiologic impairment, particularly dyspnea and reduced diffusion capacity. Studies have also shown that 24%-54% of patients hospitalized during the 1st year of the pandemic exhibit radiologic abnormalities, such as ground-glass opacity, reticular opacity, bronchial dilatation, and air trapping, when imaged more than 1 year after infection. In patients with persistent respiratory symptoms but normal results at chest CT, dual-energy contrast-enhanced CT, xenon 129 MRI, and low-field-strength MRI were reported to show abnormal ventilation and/or perfusion, suggesting that some lung injury may not be detectable with standard CT. Histologic patterns in post-COVID-19 lung disease include fibrosis, organizing pneumonia, and vascular abnormality, indicating that different pathologic mechanisms may contribute to PCC. Therefore, a comprehensive imaging approach is necessary to evaluate and diagnose patients with persistent post-COVID-19 symptoms. This review will focus on the long-term findings of clinical and radiologic abnormalities and describe histopathologic perspectives. It also addresses advanced imaging techniques and deep learning approaches that can be applied to COVID-19 survivors. This field remains an active area of research, and further follow-up studies are warranted for a better understanding of the chronic stage of the disease and developing a multidisciplinary approach for patient management.

Effect of Physical Exercise-Based Rehabilitation on Long COVID: A Systematic Review and Meta-analysis

PURPOSE

The number of persons living with post-coronavirus disease 2019 (COVID-19) conditions or long COVID continues to rise worldwide; however, the etiology and the treatment of long COVID remain nebulous. Therefore, efficient, feasible, and cost-effective therapeutic strategies for a large population with long COVID remain warranted. Physical exercise-based rehabilitation is a promising strategy for long COVID, although its therapeutic effects remain to be determined. This systematic review and meta-analysis aimed to examine the effects of physical exercise-based rehabilitation on long COVID.

METHODS

The electronic databases Medline, Embase, Global Health (Ovid), CINAHL (EBSCO), Web of Science, WHO Global Research Database on COVID-19, LitCovid, and Google Scholar were searched from their inception to November 2022. The identified articles were independently screened by three reviewers, and a random-effects model was used to determine the mean differences in the meta-analysis.

RESULTS

Twenty-three studies involving 1579 individuals who had COVID-19 (752 women) were included. Physical exercise-based rehabilitation showed beneficial effects on long COVID-related symptoms characterized by dyspnea, fatigue, and depression, as well as on the 6-min walk test, forced expiratory volume in 1 s/forced vital capacity, and quality of life in people who had COVID-19.

CONCLUSIONS

Physical exercise-based rehabilitation is a potential therapeutic strategy against long COVID and can be applied as a routine clinical practice in people who have recovered from COVID-19. However, customized physical exercise-based rehabilitation programs and their effects on specific types of long COVID require future large-scale studies.

The potential clinical impact and cost-effectiveness of the updated COVID-19 mRNA Autumn 2024 vaccines in the United Kingdom

AIMS

To estimate the potential clinical impact and cost-effectiveness of a United Kingdom (UK) Autumn 2024 vaccination campaign with an updated Moderna COVID-19 vaccine in adults ≥65 years and eligible persons 6 months to 64 years of age over a 1-year time horizon (September 2024-August 2025).

MATERIALS AND METHODS

A compartmental Susceptible-Exposed-Infected-Recovered model was adapted to reflect COVID-19 cases in the UK. Numbers of symptomatic infections, COVID-19-related hospitalizations and deaths, costs, and quality-adjusted life-years (QALYs) were predicted using a decision tree. The incremental cost-effectiveness ratio (ICER) of an updated Moderna mRNA vaccine (Moderna Autumn 2024 Campaign) was compared to No Autumn 2024 vaccine and to an updated Pfizer-BioNTech mRNA Autumn 2024 vaccine, from a healthcare perspective.

RESULTS

The Moderna Autumn 2024 Vaccination Campaign is predicted to decrease the expected 8.3 million symptomatic infections with no vaccination by 19% to 6.7 million. Hospitalizations, long COVID cases, and deaths are expected to decline by 27,000 (-38%), 59,000 (-19%), and 6,000 (-43%), respectively. The Moderna Autumn 2024 Campaign will increase QALYs by 78,000 and costs by £665 million, yielding an ICER of £8,500/QALY gained. Sensitivity analyses suggest that vaccine effectiveness (VE) and waning, symptomatic infection incidence, hospitalization rates, and mortality rates drive cost-effectiveness. Vaccination remains cost-effective when lowering the target population to ≥50 years. Use of the Moderna vaccine is expected to prevent 8,000 more hospitalizations and 1,700 more deaths than the updated Pfizer-BioNTech vaccine.

CONCLUSIONS

Vaccination of the eligible population would contribute to significant reductions in hospitalizations, deaths, and long COVID in the UK in the 2024-2025 season. Expanding the target population continues to be cost-effective. Use of the Moderna Autumn 2024 Campaign is predicted to reduce SARS-CoV-2 infections and associated outcomes in a cost-effective manner and will contribute to a more resilient healthcare system in the UK.

Evaluating the Predictors of Persistent Long COVID Symptoms and Their Severity in COVID-19 Survivors 1 Year After Infection

INTRODUCTION/OBJECTIVE

As the coronavirus disease 2019 (COVID-19) pandemic progressed, the virus was found to cause long-term health complications known as long COVID (LC). This study aimed to investigate LC symptom severity and the factors associated with the likelihood of persistence beyond 1 year among COVID-19 survivors in Saudi Arabia.

METHODS

This descriptive, cross-sectional, questionnaire-based study was conducted via convenience sampling between December 1, 2023, and March 1, 2024. In-person interviews were performed, and 845 individuals with persistent symptoms after acute COVID-19 were included.

RESULTS

Hair loss and memory impairment were the most reported symptoms. In predicting LC persistence beyond 12 months, women were found to have higher odds of being symptomatic than men, and individuals from moderate-to-high-income households were more likely to report persistent symptoms than those from low-income households. Each additional acute COVID-19 symptom increased the likelihood of persistent symptoms by 1.14 times. Reporting more symptoms in the first 6 months post-infection significantly reduced the odds of long-term symptoms by approximately 30%.

CONCLUSION

LC symptom severity varies among patients, and sociodemographic and clinical factors influence the likelihood of experiencing symptoms beyond 1 year. Understanding these factors can provide insights and help optimize management, leading to improved patient outcomes.

Assessment of Some Risk Factors and Biological Predictors in the Post COVID-19 Syndrome in Asthmatic Patients

Long COVID-19 or post-COVID infection (PCI) refers to the prolongation of symptoms in people who have been infected with the SARS-CoV-2 virus. Some meta-analysis studies have shown that patients with comorbidities, such as diabetes, obesity or hypertension, have severe complications after infection with the SARS-CoV-2 virus. The presence of chronic respiratory diseases such as bronchial asthma, COPD, pulmonary hypertension or cystic fibrosis increases the risk of developing severe forms of the COVID-19 disease. The risk of developing the severe form of COVID-19 was observed in patients with bronchial asthma being treated with corticosteroids, but also in those hospitalized with severe asthma. The biological variables determined in patients with PCI infection showed changes, especially in the hematological parameters, but also in some inflammatory markers. The aim of this study was to investigate some biological predictors in post-COVID-19 infection in patients with asthma and various comorbidities. In the case of patients diagnosed with moderate and severe forms of COVID-19, the variation in biological tests has shown high concentrations for serum glucose, lactate dehydrogenase and C-reactive protein. Additionally, the calculation of the relative risk (RR) based on the associated comorbidities in patients with PCI points to higher values for patients with asthma, hypertension, diabetes and obesity (RR moderate/severe form = 0.98/1.52), compared to patients with PCI and asthma (RR moderate/severe form = 0.36/0.63). Based on the statistical results, it can be concluded that the alanine aminotransferase (ALT) activity (p = 0.006) and the age of patients (p = 0.001) are the variables that contribute the most to the separation of the four classes of comorbidities considered.

Post-COVID-19 condition risk in patients with intellectual and developmental disabilities: a retrospective cohort study involving 36,308 patients

BACKGROUND

To date, no studies have investigated the prevalence of post-COVID-19 conditions in patients with Intellectual and Developmental Disabilities (IDD). Addressing this research gap is crucial, as understanding post-COVID-19 conditions in IDD patients can improve care planning, and it is essential not to overlook this vulnerable population in COVID-19 studies. This study was aimed at investigating the prevalence of post-COVID-19 conditions in patients with IDD and compare their risk with that of the general population.

METHODS

Using the TriNetX network, we identified patients with and without an IDD who had COVID-19. Subsequently, we compared the risk of developing any post-COVID-19 condition between these two groups, during the 90-180-day follow-up after SARS-CoV-2 infection.

RESULTS

During the follow-up, patients with an IDD exhibited a significantly higher prevalence of post-COVID-19 conditions compared to the general population (hazard ratio [HR], 1.120; 95% confidence interval [CI]: 1.053-1.191). Specifically, COVID-19 survivors with IDD had a significantly increased risk of experiencing abnormal breathing (HR, 1.216; 95% CI: 1.077-1.373), abdominal symptoms (HR, 1.259; 95% CI: 1.128-1.406), fatigue (HR, 1.397; 95% CI: 1.216-1.606), anxiety/depression (HR, 1.157; 95% CI: 1.050-1.274), cognitive symptoms (HR, 1.828; 95% CI: 1.529-2.186), myalgia (HR, 1.325; 95% CI: 1.077-1.631), sleep disturbances (HR, 1.481; 95% CI: 1.148-1.910), and cough (HR, 1.315; 95% CI: 1.146-1.508) compared to the non-IDD group.

CONCLUSIONS

Patients with IDD might be associated with a higher risk of post-COVID-19 conditions following SARS-CoV-2 infection compared to the general population.

Machine learning identifies risk factors associated with long-term sick leave following COVID-19 in Danish population

BACKGROUND

Post COVID-19 condition (PCC) can lead to considerable morbidity, including prolonged sick-leave. Identifying risk groups is important for informing interventions. We investigated heterogeneity in the effect of SARS-CoV-2 infection on long-term sick-leave and identified subgroups at higher risk.

METHODS

We conducted a hybrid survey and register-based retrospective cohort study of Danish residents who tested positive for SARS-CoV-2 between November 2020 and February 2021 and a control group who tested negative, with no known history of SARS-CoV-2. We estimated the causal risk difference (RD) of long-term sick-leave due to PCC and used the causal forest method to identify individual-level heterogeneity in the effect of infection on sick-leave. Sick-leave was defined as >4 weeks of full-time sick-leave from 4 weeks to 9 months after the test.

RESULTS

Here, in a cohort of 88,818 individuals, including 37,482 with a confirmed SARS-CoV-2 infection, the RD of long-term sick-leave is 3.3% (95% CI 3.1% to 3.6%). We observe a high degree of effect heterogeneity, with conditional RDs ranging from -3.4% to 13.7%. Age, high BMI, depression, and sex are the most important variables explaining heterogeneity. Among three-way interactions considered, females with high BMI and depression and persons aged 36-45 years with high BMI and depression have an absolute increase in risk of long-term sick-leave above 10%.

CONCLUSIONS

Our study supports significant individual-level heterogeneity in the effect of SARS-CoV-2 infection on long-term sick-leave, with age, sex, high BMI, and depression identified as key factors. Efforts to curb the PCC burden should consider multimorbidity and individual-level risk.

Synthetic Health Data Can Augment Community Research Efforts to Better Inform the Public During Emerging Pandemics

The COVID-19 pandemic had disproportionate effects on the Veteran population due to the increased prevalence of medical and environmental risk factors. Synthetic electronic health record (EHR) data can help meet the acute need for Veteran population-specific predictive modeling efforts by avoiding the strict barriers to access, currently present within Veteran Health Administration (VHA) datasets. The U.S. Food and Drug Administration (FDA) and the VHA launched the precisionFDA COVID-19 Risk Factor Modeling Challenge to develop COVID-19 diagnostic and prognostic models; identify Veteran population-specific risk factors; and test the usefulness of synthetic data as a substitute for real data. The use of synthetic data boosted challenge participation by providing a dataset that was accessible to all competitors. Models trained on synthetic data showed similar but systematically inflated model performance metrics to those trained on real data. The important risk factors identified in the synthetic data largely overlapped with those identified from the real data, and both sets of risk factors were validated in the literature. Tradeoffs exist between synthetic data generation approaches based on whether a real EHR dataset is required as input. Synthetic data generated directly from real EHR input will more closely align with the characteristics of the relevant cohort. This work shows that synthetic EHR data will have practical value to the Veterans' health research community for the foreseeable future.

Impairment of Social-Related Quality of Life in COVID-19 Pneumonia Survivors: A Prospective Longitudinal Study

The post-acute sequelae of SARS-CoV-2 (PASC) pose a threat to patients' health-related quality of life (HRQOL). Here, the impact of COVID-19 on HRQOL and the clinical factors associated with impaired HRQOL were examined. Discharged COVID-19 patients were assessed at 3 and 6 months after disease onset. The patients completed a medical examination and the SF-36 questionnaire at these two time points and underwent pulmonary function testing at 6 months after disease onset. All had undergone computed tomography (CT) imaging upon hospital admission. Of the 74 included patients, 38% reported respiratory symptoms at 3 months, and 26% reported respiratory symptoms at 6 months after disease onset. The aggregated SF-36 scores declined in the role/social component summary (RCS), a category related to social activity. Patients with lower RCS tended to have respiratory sequelae or a relatively lower forced vital capacity. The CT score that reflected the extent of COVID-19 pneumonia was inversely correlated with the RCS score (3 months, p = 0.0024; 6 months, p = 0.0464). A high CT score (≥10 points) predicted a low RCS score at 6 months (p = 0.013). This study highlights the impairment of RCS and its associations with respiratory sequelae. The study also emphasizes the importance of radiological findings in predicting long-term HRQOL outcomes after COVID-19.

Long COVID or Post-COVID-19 Condition: Past, Present and Future Research Directions

The presence of symptoms after an acute SARS-CoV-2 infection (long-COVID) has become a worldwide healthcare emergency but remains underestimated and undertreated due to a lack of recognition of the condition and knowledge of the underlying mechanisms. In fact, the prevalence of post-COVID symptoms ranges from 50% during the first months after the infection up to 20% two-years after. This perspective review aimed to map the existing literature on post-COVID symptoms and to identify gaps in the literature to guide the global effort toward an improved understanding of long-COVID and suggest future research directions. There is a plethora of symptomatology that can be due to COVID-19; however, today, there is no clear classification and definition of this condition, termed long-COVID or post-COVID-19 condition. The heterogeneity in the symptomatology has led to the presence of groups/clusters of patients, which could exhibit different risk factors and different mechanisms. Viral persistence, long-lasting inflammation, immune dysregulation, autoimmune reactions, reactivation of latent infections, endothelial dysfunction and alteration in gut microbiota have been proposed as potential mechanisms explaining the complexity of long-COVID. In such an equation, viral biology (e.g., re-infections, SARS-CoV-2 variants), host biology (e.g., genetics, epigenetics) and external factors (e.g., vaccination) should be also considered. These various factors will be discussed in the current perspective review and future directions suggested.

Prevalence and factors associated with long COVID in adults from Southern Brazil: findings from the PAMPA cohort

Most COVID-19 survivors have reported experiencing persistent symptoms after the infection - these types of cases are known as long COVID. Since Brazil was an epicenter of the COVID-19 pandemic, a high burden of long COVID is expected. This study aimed to identify the prevalence and factors associated with long COVID in adults in Southern Brazil, analyzing data from the PAMPA cohort. Participants filled out a self-reported online questionnaire in June 2022. This study only included subjects who tested positive for COVID-19. Long COVID was defined by any symptoms that persisted for at least three months after the SARS-CoV-2 infection. Poisson's regression models with robust variance were used to identify factors associated with long COVID; and results were reported as prevalence ratios (PR) and respective 95% confidence intervals (95%CI). A total of 1,001 participants (77.4% women, mean age [SD] = 38.3 [11.9] years) were analyzed. The prevalence of long COVID among these patients was 77.4% (95%CI: 74.7; 79.9). The likelihood of long COVID was higher in unvaccinated participants (PR = 1.23, 95%CI: 1.06; 1.42), in those with chronic conditions (PR = 1.13, 95%CI: 1.04; 1.24), and in those who were hospitalized due to the COVID-19 infection (PR = 1.24, 95%CI: 1.16; 1.32). This prevalence was also higher in women (PR = 1.21, 95%CI: 1.09; 1.33) than in men. Physical activity was associated with a reduced likelihood of fatigue, neurological complications, coughing, and headaches as persistent symptoms after a COVID-19 infection. It was found that three out of four adults in Southern Brazil experienced long COVID. Public policies aiming to reduce the burden of long COVID must be prioritized, especially in groups that are at higher risk of developing this harmful condition.

Factors associated with the quality of life and persistent dyspnea severity in COVID-19 survivors: A cross-sectional study among healthcare workers

The coronavirus disease 2019 (COVID-19) pandemic had a significant impact on global health. The alterations in quality of life (QoL) and the persistent symptoms of dyspnea have been the healthcare workers' challenges during and after the pandemic. The aim of this study was to assess factors associated with the QoL and persistent dyspnea experienced by COVID-19 survivors, particularly among healthcare workers. A cross-sectional study was conducted among healthcare workers at H. Adam Malik General Hospital, Medan, Indonesia, using direct interviews to collect the data. The EuroQol 5-dimensional 5-level (EQ-5D-5L) and the self-assessment EuroQol-visual analog scale (EQ-VAS) were employed to assess the QoL of the healthcare workers; and persistent dyspnea was evaluated using the modified Medical Research Council (mMRC) scale. Several possible risk factors such as demographic characteristics (gender and age), clinical characteristics (comorbidities, history of hospitalization, oxygen usage, history of COVID-19 vaccination, the severity of previous COVID-19, existence of post-COVID syndrome) and the symptoms of the post-COVID syndrome were collected. Chi-squared test or Fisher's exact test was used to identify the risk factors associated with the QoL and persistent dyspnea. A total of 100 healthcare workers were included in the study. The EQ-5D-5L assessment found that 2% of healthcare workers experienced pain/discomfort and 4% experienced anxiety/depression. The average healthcare worker's EQ-VAS score was 87.6±8.1. There was no significant association between studied demographics and clinical characteristics with QoL dimensions. However, post-COVID symptoms of activity limitation (p=0.004), sore throat (p=0.026), headache (p=0.012), myalgia (p=0.006), and arthralgia (p=0.001) were associated with pain/discomfort dimension of QoL. In addition, there was a significant association between activity limitation (p=0.012), headache (p=0.020), myalgia (p=0.015) and arthralgia (p=0.032) with anxiety/depression dimension of QoL. Our data suggested that the presence of post-COVID syndrome (p=0.006) and the presence of post-COVID syndrome symptoms of cough (p=0.021) and fatigue (p=0.015) were associated with persistent dyspnea. In conclusion, this study suggests that the presence of post-COVID syndrome and its symptoms are associated with low quality of health-related QoL and persistent dyspnea. Therefore, cautions are needed for such patients to prevent low QoL in the future.

Impact of Comorbidity on the Duration from Symptom Onset to Death in Patients with Coronavirus Disease 2019: A Retrospective Study of 104,753 Cases in Pakistan

(1) Background: The evidence indicates that comorbidities are associated with an increase in the risk of death from coronavirus disease 2019 (COVID-19). It is unclear whether such an association is different for various combinations of chronic disease comorbidities. (2) Methods: From 16 March 2020 to 30 November 2021, 104,753 patients with confirmed COVID-19 from Khyber Pakhtunkhwa Province, Pakistan, were studied to determine the association between comorbidities and the duration from symptom onset to death in patients with COVID-19 by stratifying their comorbidity status. (3) Results: The patients with comorbidities had an 84% (OR, 0.16; 95% CI, 0.14 to 0.17) decrease in the duration from symptom onset to death, as opposed to patients without a comorbidity. Among the patients with only one comorbidity, chronic lung disease (OR, 0.06; 95% CI, 0.03 to 0.09) had a greater impact on the duration from symptom onset to death than hypertension (OR, 0.15; 95% CI, 0.13 to 0.18) or diabetes (OR, 0.15; 95% CI, 0.12 to 0.18). The patients with both hypertension and diabetes had the shortest duration (OR, 0.17; 95% CI, 0.14 to 0.20) among the patients with two comorbidities. (4) Conclusions: Comorbidity yielded significant adverse impacts on the duration from symptom onset to death in COVID-19 patients in Pakistan. The impact varied with different combinations of chronic disease comorbidities in terms of the number and type of comorbidities.

Impact of COVID-19 Infection on Work Functioning in Japanese Workers: A Prospective Cohort Study

Background

The impact of COVID-19 infection on workers' work function persists even after the acute phase of the infection. We studied this phenomenon in Japanese workers.

Methods

We conducted a one-year prospective cohort study online, starting with a baseline survey in December 2020. We tracked workers without baseline work functioning impairment and incorporated data from 14,421 eligible individuals into the analysis. We estimated the incidence rate ratio for new onset of work functioning impairment due to COVID-19 infection during follow-up, using mixed-effects Poisson regression analysis with robust variance.

Results

Participants reporting infection between January and December 2021 showed a significantly higher incidence of new work functioning impairment (adjusted incidence rate ratio: 2.18, 95% confidence interval: 1.75-2.71, p < 0.001). The formality of the recuperation environment correlated with a higher risk of work functioning deterioration in infected individuals (p for trend <0.001).

Conclusion

COVID-19-infected workers may continue to experience work difficulties due to persistent, post-acute infection symptoms. Companies and society must urgently provide rehabilitation and social support for people with persistent symptoms, recognizing that COVID-19 is not just a transient acute infection.

Stress, anxiety, and depression severity among individuals with no history, previous history, or current history of long COVID

OBJECTIVE

Long COVID has been associated with psychological symptoms, yet it is unknown if the symptom burden of individuals with current and previous long COVID differ. This pre-registered cross-sectional study assessed stress, anxiety, and depression severity among individuals with no history, previous history, or current long COVID symptoms.

METHODS

Adults (N = 2872) in the United States participated in an online survey detailing experiences related to the COVID-19 pandemic. Included participants reported ≥1 COVID-19 infection, and self-reported long COVID symptoms (past and present) were assessed. A multivariable linear regression evaluated the association of long COVID status and stress, anxiety, and depression severity. Post-hoc contrasts were performed to probe significant differences among no, previous, and current long COVID symptom groups.

RESULTS

Of 2872 participants with history of COVID-19 infection, 2310 reported no history of, 183 reported previous history of, and 379 reported current long COVID symptoms. Participants were an average 41.3 years of age, with most identifying as female (51.7%), White (87.7%), and non-Hispanic or Latino (84.1%). Individuals with current and previous history of long COVID reported greater stress, anxiety, and depression compared to the no history group (all ps < 0.05; current vs. no history Cohen's ds = 0.71-0.93; previous vs. no history ds = 0.30-0.66) after adjusting for demographic and lifestyle factors.

CONCLUSIONS

Both current and previous long COVID may be associated with psychological symptoms.

Social vulnerability and new mobility disability among adults with polymerase chain reaction (PCR)-confirmed SARS-CoV-2: Michigan COVID-19 Recovery Surveillance Study

OBJECTIVE

Understanding the relationship between social factors and persistent COVID-19 health outcomes, such as onset of a disability after a SARS-CoV-2 (the virus that causes COVID-19) infection, is an increasingly important public health issue. The purpose of this paper is to examine associations between social vulnerability and new onset of a mobility disability post-COVID-19 diagnosis.

METHODS

We used data from the Michigan COVID-19 Recovery Surveillance Study, a population-based probability survey of adults with PCR-confirmed SARS-CoV-2 infection in Michigan between January 2020-May 2022 (n = 4295). We used the Minority Health Social Vulnerability Index (MHSVI), with high county-level social vulnerability defined at or above the 75th percentile. Mobility disability was defined as new difficulty walking or climbing stairs. We regressed mobility disability on the overall MHSVI, as well as sub-themes of the index (socioeconomic status, household composition/disability, minority and language, housing type, healthcare access, and medical vulnerability), using multivariable logistic regression, adjusting for age, race, sex, education, employment, and income.

RESULTS

Living in a county with high (vs. low) social vulnerability was associated with 1.38 times higher odds (95% confidence interval [CI]:1.18-1.61) of reporting a new mobility disability after a COVID-19 diagnosis after adjustment. Similar results were observed for the socioeconomic status and household composition/disability sub-themes. In contrast, residents of highly racially diverse counties had lower odds (odds ratio 0.74, 95% CI: 0.61, 0.89) of reporting a new mobility disability compared to low diversity counties.

CONCLUSIONS

Mitigating the effects of social vulnerabilities requires additional resources and attention to support affected individuals.

Long-term effects of coronavirus disease 2019 on diabetes complications and mortality in people with diabetes: Two cohorts in the UK and Hong Kong

AIM

To evaluate the long-term associations between coronavirus disease 2019 (COVID-19) and diabetes complications and mortality, in patients with diabetes.

MATERIALS AND METHODS

People with diabetes diagnosed with COVID-19 infection (exposed group), from 16 March 2020 to 31 May 2021 from the UK Biobank (UKB cohort; n = 2456), and from 1 April 2020 to 31 May 2022 from the electronic health records in Hong Kong (HK cohort; n = 80 546), were recruited. Each patient was randomly matched with participants with diabetes but without COVID-19 (unexposed group), based on age and sex (UKB, n = 41 801; HK, n = 391 849). Patients were followed for up to 18 months until 31 August 2021 for UKB, and up to 28 months until 15 August 2022 for HK. Characteristics between cohorts were further adjusted with Inverse Probability Treatment Weighting. Long-term association of COVID-19 with multi-organ disease complications and all-cause mortality after 21 days of diagnosis was evaluated by Cox regression.

RESULTS

Compared with uninfected participants, patients with COVID-19 infection with diabetes were consistently associated with higher risks of cardiovascular diseases (coronary heart disease [CHD]: hazard ratio [HR] [UKB]: 1.6 [95% confidence interval {CI}: 1.0, 2.4], HR [HK]: 1.2 [95% CI: 1.0, 1.5]; and stroke: HR [UKB]: 2.0 [95% CI: 1.1, 3.6], HR [HK]: 1.5 [95% CI: 1.3, 1.8]), microvascular disease (end stage renal disease: HR [UKB]: 2.1 [95% CI: 1.1, 4.0], HR [HK]: 1.2 [95% CI: 1.1, 1.4]) and all-cause mortality (HR [UKB]: 4.6 [95% CI: 3.8, 5.5], HR [HK]: 2.6 [95% CI: 2.5, 2.8]), in both cohorts.

CONCLUSIONS

COVID-19 infection is associated with long-term increased risks of diabetes complications (especially cardiovascular complications, and mortality) in people with diabetes. Monitoring for signs/symptoms of developing these long-term complications post-COVID-19 infection in the infected patient population of people with diabetes may be beneficial in minimizing their morbidity and mortality.

[Post COVID care needs rehabilitation]

Fast drei Jahre nach dem Ausbruch der COVID-19-Pandemie zählt die Weltgesundheitsorganisation rund 7 Millionen Tote aufgrund von COVID-19 und knapp 771 Millionen bestätigte Infektionen mit SARS-CoV-2 1. Die weltweite Übersterblichkeit in den ersten zwei Jahren der Pandemie wird sogar zwei- bis dreimal höher geschätzt, teilweise bedingt durch überlastete Gesundheitssysteme 2.

SGLT2 Inhibitors in Long COVID Syndrome: Is There a Potential Role?

The coronavirus disease (COVID)-19 has turned into a pandemic causing a global public health crisis. While acute COVID-19 mainly affects the respiratory system and can cause acute respiratory distress syndrome, an association with persistent inflammatory stress affecting different organ systems has been elucidated in long COVID syndrome (LCS). Increased severity and mortality rates have been reported due to cardiophysiological and metabolic systemic disorders as well as multiorgan failure in COVID-19, additionally accompanied by chronic dyspnea and fatigue in LCS. Hence, novel therapies have been tested to improve the outcomes of LCS of which one potential candidate might be sodium-glucose cotransporter 2 (SGLT2) inhibitors. The aim of this narrative review was to discuss rationales for investigating SGLT2 inhibitor therapy in people suffering from LCS. In this regard, we discuss their potential positive effects-next to the well described "cardio-renal-metabolic" conditions-with a focus on potential anti-inflammatory and beneficial systemic effects in LCS. However, potential beneficial as well as potential disadvantageous effects of SGLT2 inhibitors on the prevalence and long-term outcomes of COVID-19 will need to be established in ongoing research.

Effectiveness of Antiviral Therapy on Long COVID: A Systematic Review and Meta-Analysis

Antiviral treatment reduces the severity and mortality of SARS-CoV-2 infection; however, its effectiveness against long COVID-19 is unclear. This study aimed to evaluate the effectiveness of antiviral drugs in preventing long COVID and related hospitalizations/deaths. Scientific and medical databases were searched from 1 January 2020 to 30 June 2023. We included observational cohort studies comparing individuals receiving early antiviral therapy for COVID-19 and those receiving supportive treatment. A fixed-effects model was used to merge the effects reported in two or more studies. The risk of post-acute sequelae of COVID-19 (PASC) was combined as an odds ratio (OR). Six studies were selected, including a total of 3,352,235 participants. The occurrence of PASC was 27.5% lower in patients who received antiviral drugs during the early stages of SARS-CoV-2 infection (OR = 0.725; 95% confidence interval [CI] = 0.409-0.747) than in the supportive treatment group. Moreover, the risk of PASC-associated hospitalization and mortality was 29.7% lower in patients receiving early antiviral therapy than in the supportive treatment group (OR = 0.721; 95% CI = 0.697-0.794). Early antiviral therapy was associated with a reduced risk of PASC and related hospitalization or death. Thus, early antiviral therapy is recommended for at-risk individuals.

Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm

BACKGROUND

Post-Acute Sequelae of COVID-19 (PASC) have emerged as a global public health and healthcare challenge. This study aimed to uncover predictive factors for PASC from multi-modal data to develop a predictive model for PASC diagnoses.

METHODS

We analyzed electronic health records from 92,301 COVID-19 patients, covering medical phenotypes, medications, and lab results. We used a Super Learner-based prediction approach to identify predictive factors. We integrated the model outputs into individual and composite risk scores and evaluated their predictive performance.

RESULTS

Our analysis identified several factors predictive of diagnoses of PASC, including being overweight/obese and the use of HMG CoA reductase inhibitors prior to COVID-19 infection, and respiratory system symptoms during COVID-19 infection. We developed a composite risk score with a moderate discriminatory ability for PASC (covariate-adjusted AUC (95% confidence interval): 0.66 (0.63, 0.69)) by combining the risk scores based on phenotype and medication records. The combined risk score could identify 10% of individuals with a 2.2-fold increased risk for PASC.

CONCLUSIONS

We identified several factors predictive of diagnoses of PASC and integrated the information into a composite risk score for PASC prediction, which could contribute to the identification of individuals at higher risk for PASC and inform preventive efforts.

Nirmatrelvir/ritonavir and risk of long COVID symptoms: a retrospective cohort study

We conducted a retrospective cohort study to assess whether treatment with nirmatrelvir/ritonavir was associated with a reduced risk of long COVID. We enrolled 500 adults with confirmed SARS-CoV-2 who were eligible for nirmatrelvir/ritonavir; 250 who took nirmatrelvir/ritonavir and 250 who did not. The primary outcome was the development of one or more of eleven prespecified long COVID symptoms, assessed through a structured telephone interview four months after the positive SARS-CoV-2 test. Multivariable logistic regression models controlled for age, sex, race/ethnicity, chronic conditions, and COVID-19 vaccination status. We found that participants who took nirmatrelvir/ritonavir were no less likely to develop long COVID symptoms, compared to those who did not take the medication (44% vs. 49.6%, p = 0.21). Taking nirmatrelvir/ritonavir was associated with a lower odds of two of the eleven long COVID symptoms, brain fog (OR 0.58, 95% CI 0.38-0.88) and chest pain/tightness (OR 0.51, 95% CI 0.28-0.91). Our finding that treatment with nirmatrelvir/ritonavir was not associated with a lower risk of developing long COVID is different from prior studies that obtained data only from electronic medical records.

Trajectory of post-COVID brain fog, memory loss, and concentration loss in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP multicenter study

Objective

This study aimed to apply Sankey plots and exponential bar plots for visualizing the trajectory of post-COVID brain fog, memory loss, and concentration loss in a cohort of previously hospitalized COVID-19 survivors.

Methods

A sample of 1,266 previously hospitalized patients due to COVID-19 during the first wave of the pandemic were assessed at 8.4 (T1), 13.2 (T2), and 18.3 (T3) months after hospital discharge. They were asked about the presence of the following self-reported cognitive symptoms: brain fog (defined as self-perception of sluggish or fuzzy thinking), memory loss (defined as self-perception of unusual forgetfulness), and concentration loss (defined as self-perception of not being able to maintain attention). We asked about symptoms that individuals had not experienced previously, and they attributed them to the acute infection. Clinical and hospitalization data were collected from hospital medical records.

Results

The Sankey plots revealed that the prevalence of post-COVID brain fog was 8.37% (n = 106) at T1, 4.7% (n = 60) at T2, and 5.1% (n = 65) at T3, whereas the prevalence of post-COVID memory loss was 14.9% (n = 189) at T1, 11.4% (n = 145) at T2, and 12.12% (n = 154) at T3. Finally, the prevalence of post-COVID concentration loss decreased from 6.86% (n = 87) at T1, to 4.78% (n = 60) at T2, and to 2.63% (n = 33) at T3. The recovery exponential curves show a decreasing trend, indicating that these post-COVID cognitive symptoms recovered in the following years after discharge. The regression models did not reveal any medical record data associated with post-COVID brain fog, memory loss, or concentration loss in the long term.

Conclusion

The use of Sankey plots shows a fluctuating evolution of post-COVID brain fog, memory loss, or concentration loss during the first years after the infection. In addition, exponential bar plots revealed a decrease in the prevalence of these symptoms during the first years after hospital discharge. No risk factors were identified in this cohort.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

The Long Road of Long COVID: Specific Considerations for the Allergist/Immunologist

Long COVID (coronavirus disease 2019) syndrome, also known as post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is a new disorder that can develop after an acute infection with the SARS-CoV-2 virus. The condition is characterized by multiorgan system involvement with a wide range of symptoms that can vary in severity from mild to debilitating. Some of the common symptoms associated with long COVID syndrome include cardiovascular issues such as heart palpitations and chest pain; thrombotic events (eg, blood clotting disorders); metabolic problems (eg, type 2 diabetes); dysautonomia; paroxysmal orthostatic tachycardia syndrome; myalgic encephalomyelitis/chronic fatigue syndrome; reactivation of the Epstein-Barr virus; the presence of autoantibodies; chronic spontaneous urticaria (hives); and connective tissue diseases. Whereas long COVID syndrome can affect individuals from various backgrounds, certain populations may be at higher risk such as individuals of Hispanic and Latino heritage, as well as those with low socioeconomic status, although approximately one-third of affected patients have no known risk factors or preexisting conditions. Many survivors of COVID-19 struggle with multiple symptoms, increased disability, reduced function, and poor quality of life. Whereas vaccination has been the most significant intervention able to decrease the severity of acute SARS-Cov2 infection and curtail deaths, limited data are available related to its modulating effect on long COVID necessitating the need for further investigation. Furthermore, several inflammatory pathways have been proposed for the pathogenesis of long COVID that are the targets for ongoing clinical studies evaluating novel pharmacological agents. The purpose of the present report is to review the many factors associated with long COVID with a focus on those aspects that have relevance to the allergist-immunologist.

Allergic diseases as risk factors for Long-COVID symptoms: Systematic review of prospective cohort studies

OBJECTIVE

The role of allergy as a risk factor for Long-COVID (LC) is unclear and has not been thoroughly examined yet. We aimed to systematically review and appraise the epidemiological evidence on allergic diseases as risk factors for LC.

DESIGN

This is an initial systematic review. Two reviewers independently performed the study selection and data extraction using Covidence. Risk of bias (RoB) and certainty of evidence (GRADE) were assessed. Random effects meta-analyses were used to pool unadjusted ORs within homogeneous data subsets.

DATA SOURCES

We retrieved articles published between January 1st, 2020 and January 19th, 2023 from MEDLINE via PubMed, Scopus, the WHO-COVID-19 database and the LOVE platform (Epistemonikos Foundation). In addition, citations and reference lists were searched.

ELIGIBILITY CRITERIA

We included prospective cohort studies recruiting individuals of all ages with confirmed SARS-CoV-2 infection that were followed up for at least 12 months for LC symptoms where information on pre-existing allergic diseases was available. We excluded all study designs that were not prospective cohort studies and all publication types that were not original articles.

RESULTS

We identified 13 studies (9967 participants, range 39-1950 per study), all assessed as high RoB, due to population selection and methods used to ascertain the exposures and the outcome. Four studies did not provide sufficient data to calculate Odds Ratios. The evidence supported a possible relationship between LC and allergy, but was very uncertain. For example, pre-existing asthma measured in hospital-based populations (6 studies, 4019 participants) may be associated with increased risk of LC (Odds Ratio 1.94, 95% CI 1.08, 3.50) and findings were similar for pre-existing rhinitis (3 studies, 1141 participants; Odds Ratio 1.96, 95% CI 1.61, 2.39), both very low certainty evidence.

CONCLUSIONS

Pre-existing asthma or rhinitis may increase the risk of LC.

Nutritional deficiency anemia and post-acute sequelae in patients with severe acute respiratory syndrome coronavirus 2 infection: A six-month retrospective cohort analysis of 30 892 patients

The effect of anemia on the post-acute outcome of patients with severe acute respiratory syndrome coronavirus 2 infection was unclear. This study aimed to investigate the potential association between nutritional deficiency anemia (NDA) status and post-acute sequelae of patients with SARS-CoV-2 infection. This retrospective cohort study included patients with coronavirus disease (COVID-19) from January 1, 2022 to November 30, 2022 using the TriNetX research network. The patients were grouped into the NDA group comprising patients diagnosed with NDA and the control group comprising patients without NDA, and propensity score matching (PSM) was performed to balance the two groups. The primary outcome was a composite of post-COVID-19 condition, all-cause hospitalization, and all-cause death. The secondary outcomes were any individual outcomes of the primary composite. The follow-up period was set at 90-180 days after COVID-19 diagnosis. Two cohorts comprising 15 446 nonhospitalized patients with COVID-19 in each group with balanced baseline characteristics were created using PSM. During the follow-up period, the NDA group demonstrated a higher risk of the composite primary outcome, including post-COVID-19 condition, all-cause hospitalization, or all-cause death (hazard ratio [HR], 1.896; 95% confidence interval [CI] =  1.757-2.045). Regarding secondary outcomes, the NDA group was associated with worse outcomes, including post-COVID-19 condition (HR, 1.992; 95% CI = 1.403-2.828), all-cause hospitalization (HR, 1.856; 95% CI = 1.714-2.009), and all-cause death (HR, 3.922; 95% CI = 2.910-5.285) compared to the control group. Among nonhospitalized patients with COVID-19, NDA was associated with a higher risk of post-COVID-19 condition, all-cause hospitalization, and all-cause death during the 90-180-day follow-up period.

Cognitive dysfunction in post-COVID-19 condition: Mechanisms, management, and rehabilitation

The long-term effects of COVID-19 on cognitive function have become an area of increasing concern. This paper provides an overview of characteristics, risk factors, possible mechanisms, and management strategies for cognitive dysfunction in post-COVID-19 condition (PCC). Prolonged cognitive dysfunction is one of the most common impairments in PCC, affecting between 17% and 28% of the individuals more than 12 weeks after the infection and persisting in some cases for several years. Cognitive dysfunctions can be manifested as a wide range of symptoms including memory impairment, attention deficit, executive dysfunction, and reduced processing speed. Risk factors for developing PCC, with or without cognitive impairments, include advanced age, preexisting medical conditions, and the severity of acute illness. The underlying mechanisms remain unclear, but proposed contributors include neuroinflammation, hypoxia, vascular damage, and latent virus reactivation not excluding the possibility of direct viral invasion of the central nervous system, illustrating complex viral pathology. As the individual variation of the cognitive impairments is large, a neuropsychological examination and a person-centered multidimensional approach are required. According to the World Health Organization, limited evidence on COVID-19-related cognitive impairments necessitates implementing rehabilitation interventions from established practices of similar conditions. Psychoeducation and compensatory skills training are recommended. Assistive products and environmental modifications adapted to individual needs might be helpful. In specific attention- and working memory dysfunctions, cognitive training-carefully monitored for intensity-might be effective for people who do not suffer from post-exertional malaise. Further research is crucial for evidence-based interventions specific to COVID-19-related cognitive impairments.

Post-COVID-19 Condition Characterization: Insights From a Cross-Sectional Study in a Malaysian Rehabilitation Center

Although post-COVID-19 condition (PCC) is a major public health concern, studies on PCC in Southeast Asia are lacking. This study aimed to describe PCC symptoms and its functional impact among COVID-19 survivors undergoing outpatient rehabilitation in Malaysia. We evaluated 3037 patients with confirmed COVID-19, referred between November 2020 and September 2022, 3 to 6 months after infection. PCC was diagnosed in 71.1%. Fatigue and dyspnea were the most common symptoms. The PCC patients had reduced respiratory, ambulatory, and musculoskeletal function, and higher fatigue and pain scores, and were less likely to return to work (odds ratio [OR] = 0.55) compared with non-PCC patients. Recognition of PCC symptoms and its functional impact can guide early, tailored, rehabilitation interventions.

Genetic risk factors for severe and fatigue dominant long COVID and commonalities with ME/CFS identified by combinatorial analysis

BACKGROUND

Long COVID is a debilitating chronic condition that has affected over 100 million people globally. It is characterized by a diverse array of symptoms, including fatigue, cognitive dysfunction and respiratory problems. Studies have so far largely failed to identify genetic associations, the mechanisms behind the disease, or any common pathophysiology with other conditions such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) that present with similar symptoms.

METHODS

We used a combinatorial analysis approach to identify combinations of genetic variants significantly associated with the development of long COVID and to examine the biological mechanisms underpinning its various symptoms. We compared two subpopulations of long COVID patients from Sano Genetics' Long COVID GOLD study cohort, focusing on patients with severe or fatigue dominant phenotypes. We evaluated the genetic signatures previously identified in an ME/CFS population against this long COVID population to understand similarities with other fatigue disorders that may be triggered by a prior viral infection. Finally, we also compared the output of this long COVID analysis against known genetic associations in other chronic diseases, including a range of metabolic and neurological disorders, to understand the overlap of pathophysiological mechanisms.

RESULTS

Combinatorial analysis identified 73 genes that were highly associated with at least one of the long COVID populations included in this analysis. Of these, 9 genes have prior associations with acute COVID-19, and 14 were differentially expressed in a transcriptomic analysis of long COVID patients. A pathway enrichment analysis revealed that the biological pathways most significantly associated with the 73 long COVID genes were mainly aligned with neurological and cardiometabolic diseases. Expanded genotype analysis suggests that specific SNX9 genotypes are a significant contributor to the risk of or protection against severe long COVID infection, but that the gene-disease relationship is context dependent and mediated by interactions with KLF15 and RYR3. Comparison of the genes uniquely associated with the Severe and Fatigue Dominant long COVID patients revealed significant differences between the pathways enriched in each subgroup. The genes unique to Severe long COVID patients were associated with immune pathways such as myeloid differentiation and macrophage foam cells. Genes unique to the Fatigue Dominant subgroup were enriched in metabolic pathways such as MAPK/JNK signaling. We also identified overlap in the genes associated with Fatigue Dominant long COVID and ME/CFS, including several involved in circadian rhythm regulation and insulin regulation. Overall, 39 SNPs associated in this study with long COVID can be linked to 9 genes identified in a recent combinatorial analysis of ME/CFS patient from UK Biobank. Among the 73 genes associated with long COVID, 42 are potentially tractable for novel drug discovery approaches, with 13 of these already targeted by drugs in clinical development pipelines. From this analysis for example, we identified TLR4 antagonists as repurposing candidates with potential to protect against long term cognitive impairment pathology caused by SARS-CoV-2. We are currently evaluating the repurposing potential of these drug targets for use in treating long COVID and/or ME/CFS.

CONCLUSION

This study demonstrates the power of combinatorial analytics for stratifying heterogeneous populations in complex diseases that do not have simple monogenic etiologies. These results build upon the genetic findings from combinatorial analyses of severe acute COVID-19 patients and an ME/CFS population and we expect that access to additional independent, larger patient datasets will further improve the disease insights and validate potential treatment options in long COVID.

Treatable traits for long COVID

Long COVID, or post-acute COVID-19 sequelae, is experienced by an estimated one in eight adults following acute COVID-19. Long COVID is a new and complex chronic health condition that typically includes multiple symptoms that cross organ systems and fluctuate over time; a one-size-fits-all approach is, therefore, not likely to be appropriate nor relevant for long COVID treatment. 'Treatable Traits' is a personalized medicine approach, purpose-built to address the complexity and heterogeneity of complex chronic conditions. This comprehensive review aimed to understand how a treatable traits approach could be applied to long COVID, by first identifying the most prevalent long COVID treatable traits and then the available evidence for strategies to target these traits. An umbrella review of 22 systematic reviews identified 34 symptoms and complications common with long COVID, grouped into eight long COVID treatable trait clusters: neurological, chest, psychological, pain, fatigue, sleep impairment, functional impairment and other. A systematic review of randomized control trials identified 18 studies that explored different intervention approaches for long COVID prevention (k = 4) or management (k = 14). While a single study reported metformin as effective for long COVID prevention, the findings need to be replicated and consensus is required around how to define long COVID as a clinical trial endpoint. For long COVID management, current evidence supports exercise training or respiratory muscle training for long COVID treatable traits in the chest and functional limitation clusters. While there are studies exploring interventions targeting other long COVID treatable traits, further high-quality RCTs are needed, particularly targeting treatable traits in the clusters of fatigue, psychological, pain and sleep impairment.

Long COVID and psychological distress in young adults: Potential protective effect of a prior mental health diagnosis

BACKGROUND

Although young adulthood is a period characterized by marked psychological vulnerability, young adults are typically considered to be in good physical health and are therefore understudied with respect to the effects of COVID-19 infection and long COVID. The present study examined associations between post-acute sequelae of COVID-19 (PASC) and serious psychological distress during young adulthood, and tested whether prior mental health diagnosis moderated this association.

METHODS

Participants were 44,652 young adults who completed the Spring 2022 administration of the American College Health Association-National College Health Assessment III (ACHA-NCHA). Blockwise logistic regressions tested the odds of meeting the clinical threshold for serious psychological distress.

RESULTS

PASC was associated with 53 % increased likelihood of meeting the clinical threshold for serious psychological distress. Among young adults with a prior mental health diagnosis, PASC predicted 36 % increased odds of serious psychological distress; among those without a diagnosis, PASC predicted 81 % increased odds.

LIMITATIONS

PASC was assessed using a single self-report item rather than a clinical diagnosis of specific symptomatology. The analyses were cross-sectional and relied on concurrent reports of PASC and psychological distress which precluded us from making claims regarding directionality of the associations. The outcome of generalized psychological distress limited us from generating targeted treatment recommendations.

CONCLUSIONS

PASC may confer elevated psychological distress among young adults. The association of PASC to serious psychological distress was stronger in young adults without a mental health diagnosis than those with a diagnosis. Prior experience with mental illness may mitigate the psychological burden of long-term symptomatology.

Cognitive, behavioral, neuroimaging and inflammatory biomarkers after hospitalization for covid-19 in Brazil

Post-COVID-19 Condition (PCC) refers to a multisystemic syndrome that persists for months after SARS-CoV-2 infection. Cognitive deficits, fatigue, depression, and anxiety are common manifestations of the condition, but the underlying mechanisms driving these long-lasting neuropsychiatric features are still unclear. We conducted a prospective multi-method investigation of post-hospitalization COVID-19 patients in Rio de Janeiro, Brazil. After months from hospital admission (mean = 168.45 ± 90.31 days; range = 75.00-365.00 days), COVID-19 survivors (n = 72) presented significant difficulties in tests tapping global cognition, episodic memory, working memory and inhibitory control relative to controls and to validated normative scores. A considerable proportion of participants suffered from fatigue (36.1 %), anxiety (27.8 %), and depressive symptoms (43.1 %). Elevated blood levels of TNF-α, during hospitalization, and TNF-α and IL-1β, at follow-up, correlated with changes in brain microstructural diffusion indices (β = 0.144, p = 0.005). These neuroimaging markers were associated with decreased episodic memory (β = -0.221, p = 0.027), working memory (β = -0.209, p = 0.034) and inhibitory control (β = -0.183, p = 0.010) at follow-up. Severity of depressive symptoms correlated with deficits in global cognition in post-COVID-19 cases (β = -0.366, p = 0.038). Our study provides preliminary evidence that long-term cognitive dysfunction following COVID-19 may be mediated by brain microstructural damage, triggered by persistent neuroinflammation. In addition, depressive symptoms may contribute to prolongated global cognitive impairments in those cases.

"There is no one who helps you with it": experiences of people with long COVID regarding medical care, therapeutic measures, and barriers in the German healthcare system: results of a qualitative study with four focus groups

BACKGROUND

Many people experience long-term symptoms such as fatigue, cognitive problems, or shortness of breath after an acute infection with COVID-19. This emerging syndrome, known as long COVID, is new and complex in many aspects. This study aims to collect the experiences of people with long COVID with ambulatory healthcare structures.

METHODS

Four focus groups were conducted with a total of 23 adults with long COVID in June and July 2022. These discussions were audio-recorded, subsequently transcribed, and analyzed using the qualitative content analysis of Mayring and Kuckartz.

RESULTS

Fourteen out of 19 participants who had a primary care encounter regarding their long COVID symptoms did not perceive it as helpful. Many respondents reported that their general practitioners did not take their long COVID symptoms seriously and did not refer them to specialists or made therapeutic recommendations. However, some participants reported that they were prescribed non-pharmaceutical therapies (e.g., group meetings supported by psychotherapists, occupational therapy, etc.) that improved their condition. 14 of 23 respondents perceived care barriers such as providers' lack of awareness of long COVID, poor access to specialists, a lack of specialized care (e.g., long COVID clinics), or high bureaucratic hurdles for specific healthcare services. To improve medical care, participants suggested campaigns to raise awareness of long COVID among healthcare providers and the general population, increase research and government investments regarding the development of treatment structures for long COVID, expanding existing therapeutic services, and establishing one-stop shops for integrated specialist healthcare for people with long COVID.

CONCLUSIONS

Several implications for healthcare professionals and policymakers can be derived from this study: (1) general practitioners should take the symptoms of long COVID seriously, assume a care coordinating role, make referrals, and establish contact with long COVID clinics; (2) care planners should focus on developing interprofessional evidence-based care and treatment approaches for long COVID; (3) existing care structures such as long COVID outpatient clinics should be expanded. The overarching goal must be to develop consistent guidelines for long COVID diagnosis, care, and treatment.

TRIAL REGISTRATION

The study is registered in the German register for clinical trials (DRKS00026007, first registration on 09/09/2021).

Prevalence and predictors of post-COVID-19 symptoms in general practice - a registry-based nationwide study

BACKGROUND

With Norwegian national registry data, we assessed the prevalence of post-COVID-19 symptoms at least 3 months after confirmed infection, and whether sociodemographic factors and pre-pandemic health problems were risk factors for these symptoms.

METHODS

All persons with a positive SARS-CoV-2 PCR test from February 2020 to February 2021 (exposed) were compared to a group without a positive test (unexposed) matched on age, sex, and country of origin. We used Cox regression to estimate hazard ratios (HR) for 18 outcome symptoms commonly described as post-COVID-19 related, registered by GPs. We compared relative risks (RR) for fatigue, memory disturbance, or shortness of breath among exposed and unexposed using Poisson regression models, assessing sex, age, education, country of origin, and pre-pandemic presence of the same symptom and comorbidity as possible risk factors, with additional analyses to assess hospitalisation for COVID-19 as a risk factor among exposed.

RESULTS

The exposed group (N = 53 846) had a higher prevalence of most outcome symptoms compared to the unexposed (N = 485 757), with the highest risk for shortness of breath (HR 2.75; 95%CI 2.59-2.93), fatigue (2.08; 2.00-2.16) and memory disturbance (1.41;1.26-1.59). High HRs were also found for disturbance of smell/taste and hair loss, but frequencies were low. Concerning risk factors, sociodemographic factors were at large similarly associated with outcome symptoms in both groups. Registration of the outcome symptom before the pandemic increased the risk for fatigue, memory disturbance and shortness of breath after COVID-19, but these associations were weaker among exposed. Comorbidity was not associated with fatigue and shortness of breath in the COVID-19 group. For memory disturbance, the RR was slightly increased with the higher comorbidity score both among exposed and unexposed.

CONCLUSION

COVID-19 was associated with a range of symptoms lasting more than three months after the infection.

Oral Molnupiravir and Nirmatrelvir/Ritonavir for the Treatment of COVID-19: A Literature Review with a Focus on Real-World Evidence

Vaccines remain the cornerstone of medical prevention and are highly effective in reducing the risk of severe disease and death due to coronavirus disease 2019 (COVID-19). In the context of expanding the therapeutic armamentarium against COVID-19, molnupiravir (Lagevrio) and ritonavir-boosted nirmatrelvir (Paxlovid) were developed, constituting the first effective oral treatments against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this narrative review, we retrospectively inquired into the clinical trials and real-world studies investigating the efficacy of these agents. Overall, clinical trials and real-world studies have demonstrated the efficacy of both agents in reducing hospitalization and death rates in COVID-19 patients. As per current recommendations, their use is suggested in patients with mild to moderate symptoms who are at high risk of developing severe disease. Nevertheless, limited data exist regarding their efficacy in specific subpopulations, such as immunocompromised patients, those with severe kidney disease, pregnant women, and children.

Long-term health impacts of COVID-19 among 242,712 adults in England

The COVID-19 pandemic is having a lasting impact on health and well-being. We compare current self-reported health, quality of life and symptom profiles for people with ongoing symptoms following COVID-19 to those who have never tested positive for SARS-CoV-2 infection and those who have recovered from COVID-19. Overall, 276,840/800,000 (34·6%) of invited participants took part. Mental health and health-related quality of life were worse among participants with ongoing persistent symptoms post-COVID compared with those who had never had COVID-19 or had recovered. In this study, median duration of COVID-related symptoms (N = 130,251) was 1·3 weeks (inter-quartile range 6 days to 2 weeks), with 7·5% and 5·2% reporting ongoing symptoms ≥12 weeks and ≥52 weeks respectively. Female sex, ≥1 comorbidity and being infected when Wild-type variant was dominant were associated with higher probability of symptoms lasting ≥12 weeks and longer recovery time in those with persistent symptoms. Although COVID-19 is usually of short duration, some adults experience persistent and burdensome illness.

Longitudinal Changes in Physical Function and Their Impact on Health Outcomes in COVID-19 Patients

BACKGROUND

Coronavirus disease (COVID-19) is correlated with a variety of long-term sequelae that affect different aspects of health, including physical function. This study investigated the longitudinal changes in handgrip strength (HGS) over six months post-hospital discharge in COVID-19 patients and explores the associations between HGS, health-related quality of life, dyspnoea, exercise capacity, and body mass index (BMI).

METHODS

Adult COVID-19 patients were followed up at one, three, and six months after hospital discharge. HGS, BMI, exercise capacity, and health-related quality of life were assessed. Data from patients with HGS measurements at all three time points were analysed.

RESULTS

Low HGS was prevalent one month post-discharge (35%). Participants with low HGS exhibited more severe disease (30.5% vs. 5.9% were admitted to the intensive care unit, p < 0.01), longer hospital stays (median [IQR] 21 [10.0; 40.5] vs. 12.0 [8.0; 20.0] days, p < 0.01), greater weight loss (-5.7 [-9.1; -0.6] vs. -3.2 [-5.7; -0.0] kg, p = 0.004), and reduced exercise capacity (6 min walking test [6 MWT], 95.7 [84.0; 102.0] vs. 100.0 [92.9; 105.0]% predicted, p = 0.007). Those with persistently low HGS (40% of the initial low HGS group) had worse exercise capacity (6-MWT 93.3 [78.3; 101.0] vs. 101.0 [95.0; 107.0]% predicted, p < 0.001), more dyspnoea (29.0% vs. 2.0% of participants, p < 0.001), poorer quality of life (visual analogue scale score, 75 [50; 75] vs. 85 [75; 95], p < 0.001), and higher rates of problems in various health dimensions. HGS at 1 month was the only significant predictor of HGS improvement from 1 month to 6 months (odds ratio [95% CI] 1.11 [1.03; 1.20], p = 0.008).

CONCLUSIONS

This study highlights the prevalence of reduced physical function among COVID-19 survivors and emphasises the importance of early identification and intervention to optimise their long-term health. Monitoring HGS, a simple and reliable tool, can provide valuable insights into patients' overall physical function, aiding in tailored care and improved outcomes.

Characterization of neurocognitive deficits in patients with post-COVID-19 syndrome: persistence, patients' complaints, and clinical predictors

Introduction

Cognitive symptoms persisting beyond 3 months following COVID-19 present a considerable disease burden. We aimed to establish a domain-specific cognitive profile of post-COVID-19 syndrome (PCS). We examined the deficits' persistence, relationships with subjective cognitive complaints, and clinical variables, to identify the most relevant cognitive deficits and their predictors.

Methods

This cross-sectional study examined cognitive performance and patient-reported and clinical predictors of cognitive deficits in PCS patients (n = 282) and socio-demographically comparable healthy controls (n = 52).

Results

On the Oxford Cognitive Screen-Plus, the patient group scored significantly lower in delayed verbal memory, attention, and executive functioning than the healthy group. In each affected domain, 10 to 20% of patients performed more than 1.5 SD below the control mean. Delayed memory was particularly affected, with a small effect of hospitalization and age. Attention scores were predicted by hospitalization and fatigue.

Discussion

Thus, PCS is associated with long-term cognitive dysfunction, particularly in delayed memory, attention, and executive functioning. Memory deficits seem to be of particular relevance to patients' experience of subjective impairment. Hospitalization, fatigue, and age seem to predict cognitive deficits, while time since infection, depression, and pre-existing conditions do not.

Serological Biomarkers at Hospital Admission and Hospitalization Treatments Are Not Related to Sensitization-Associated Symptoms in Patients with Post-COVID Pain

Current evidence suggests that a group of patients who had survived coronavirus disease, 2019 (COVID-19) and developed post-COVID pain can exhibit altered nociceptive processing. The role of serological biomarkers and hospitalization treatments in post-COVID pain is unclear. This study aimed to investigate the association of serological biomarkers and treatments received during hospitalization with sensitization-associated symptoms in COVID-19 survivors with post-COVID pain. One hundred and eighty-three (n = 183) patients who had been hospitalized due to COVID-19 in one urban hospital of Madrid (Spain) during the first wave of the pandemic were assessed in a face-to-face interview 9.4 (SD 3.4) months after hospitalization. Levels of 19 serological biomarkers, hospitalization data, and treatments during hospitalization were obtained from hospital records. Sensitization-associated symptoms (Central Sensitization Inventory, CSI), sleep quality (Pittsburgh Sleep Quality Index, PSQI), pain catastrophism (Pain Catastrophizing Scale), and anxiety/depressive level (Hospital Anxiety and Depression Scale, HADS) were assessed. The prevalence of post-COVID pain was 40.9% (n = 75). Twenty-nine (38.6%) patients had sensitization-associated symptoms. Overall, no differences in hospitalization data and serological biomarkers were identified according to the presence of sensitization-associated symptoms. The analysis revealed that patients with sensitization-associated symptoms exhibited higher lymphocyte count and lower urea levels than those without sensitization-associated symptoms, but differences were small. Pain catastrophism and depressive levels, but not fatigue, dyspnea, brain fog, anxiety levels, or poor sleep, were higher in individuals with sensitization-associated symptoms. In conclusion, this study revealed that sensitization-associated post-COVID pain symptoms are not associated with serological biomarkers at hospital admission and hospitalization treatments received.

Long COVID Prevalence and the Impact of the Third SARS-CoV-2 Vaccine Dose: A Cross-Sectional Analysis from the Third Follow-Up of the Borriana Cohort, Valencia, Spain (2020-2022)

BACKGROUND

In March 2020, a COVID-19 outbreak linked to mass gathering dinners at the Falles Festival in Borriana, Spain, resulted in an estimated attack rate of 42.6% among attendees.

METHODS

In June 2022, we conducted a cross-sectional follow-up study of 473 adults aged 18 to 64 who attended the dinners at the Falles Festival in 2020, examining the cumulative experience after SARS-CoV-2 infection and vaccination responses. Data included demographic details, lifestyle habits, medical history, infection records, and vaccinations from a population-based vaccine registry. Blood samples were analyzed for SARS-CoV-2 antibodies and cellular immunity. We employed a doubly robust inverse-probability weighting analysis to estimate the booster vaccine dose's impact on long COVID prevalence and symptom count.

RESULTS

A total of 28.1% of participants met the WHO criteria for long COVID, with older individuals showing higher rates. Long COVID diagnosis was less likely with factors including O blood group, higher occupational status, physical activity, three vaccine doses, strong SARS-CoV-2-S-reactive IFNγ-producing-CD8+ response, and infection during the Omicron period. Increased age, high or low social activity, underlying health conditions, a severe initial COVID episode, and reinfection were associated with higher long COVID likelihood. A booster dose, compared to one or two doses, reduced long COVID risk by 74% (95% CI: 56% to 92%) and symptom count by 55% (95% CI: 32% to 79%).

CONCLUSION

Long COVID was prevalent in a significant portion of those who contracted COVID-19, underscoring the need for sustained follow-up and therapeutic strategies. Vaccinations, notably the booster dose, had a substantial beneficial effect on long-term infection outcomes, affirming the vaccination's role in mitigating SARS-CoV-2 infection consequences.

Special Issue "Post-COVID-19 Symptoms in Long-Haulers: Definition, Identification, Mechanisms, and Management"

The worldwide spread of coronavirus disease 2019 (COVID-19), a condition caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen, led to the most unprecedented disease outbreak of this century, provoking around 770 million confirmed cases and nearly 7 million deaths globally [...].

A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark

Post-acute sick leave is an underexplored indicator of the societal burden of SARS-CoV-2. Here,  we report findings about self-reported sick leave and risk factors thereof from a hybrid survey and register study, which include 37,482 RT-PCR confirmed SARS-CoV-2 cases and 51,336 test-negative controls who were tested during the index- and alpha-dominant waves. We observe that an additional 33 individuals per 1000 took substantial sick leave following acute infection compared to persons with no known history of infection, where substantial sick leave is defined as >1 month of sick leave within the period 1-9 months after the RT-PCR test date. Being female, 50-65 years, or having certain pre-existing health conditions such as obesity, chronic lung diseases, and fibromyalgia each increase risk for taking substantial sick leave. Altogether, these results may help motivate improved diagnostic and treatment options for persons living with post-Covid conditions.

Intrinsic factors behind long-COVID: II. SARS-CoV-2, extracellular vesicles, and neurological disorders

With the decline in the number of new Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections, the World Health Organization announced the end of the SARS-CoV-2 pandemic. However, the repercussions of this viral pandemic may remain with us for a longer period of time, as it has remodeled the lives of humankind in many ways, including social and economic. Of course, its most important repercussions remain on the human health level. Long-coronavirus disease (COVID) or post-COVID is a state for which we do not have a concrete definition, a specific international classification of diseases Code, clear diagnostic tools, or well-known effective cures as of yet. In this second article from the Intrinsic Factors behind long-COVID Series, we try to link long-COVID symptoms with their causes, starting from the nervous system. Extracellular vesicles (ECVs) play very complex and ramified roles in the bodies of both healthy and not-healthy individuals. ECVs may facilitate the entry of many bioactive molecules and pathogens into the tissues and cells of the nervous system across the blood-brain barrier. Based on the size, quantity, and quality of their cargo, ECVs are directly proportional to the pathological condition and its severity through intertwined mechanisms that evoke inflammatory immune responses typically accompanied by pathological symptoms over variable time periods according to the type of these symptoms.