COVID-19 Symptoms Research Articles

Vaccination status and long COVID symptoms among patients hospitalized with COVID-19: the WHF COVID-19 Long-term Study

Abstract Background COVID-19 vaccinations have been found to be effective in reducing the severity of COVID-19 infection and in-hospital deaths; however, insufficient evidence exists about the effect of vaccination on long term morbidity and mortality after hospitalization in patients from low- and middle-income countries. Methods The global WHF COVID-19 Long-Term Follow-up Study recruited 2,504 COVID-19 hospitalized patients from 26 collaborating sites in 16 countries between January 2022 - June 2023. Patients were followed up , at 1, 3, 6, and 9-12 months post-discharge to examine short- and long-term physical and psycho-social outcomes. A standardised questionnaire was used to collect data on demographics, pre-existing comorbidities, COVID-19 symptoms on admission, vaccination status, and outcomes at discharge, including persisting symptoms, new onset hypertension or diabetes, major adverse cardiovascular events (MACE), and mortality. We compared persistent long COVID symptoms, MACE, and mortality outcomes up to one year by COVID-19 vaccination status. Results The majority of study participants were Asians (78%), males (56%) with a mean (SD) age of 59.2 (19.9) years and from low- and middle-income (65%), upper middle-income (20%) and high-income (15%) countries. The most commonly reported comorbidities were hypertension: 54% and diabetes: 38%. Approximately two-thirds of the patients had received at least one dose of COVID-19 vaccination prior to hospitalization. Unvaccinated patients were more likely to present with dyspnea (60% vs 53%, p-value<0.001) and acute respiratory infection (15% vs 9%, p-value<0.001) during hospitalization. Unvaccinated patients also had twice the in-hospital mortality rate, compared with vaccinated patients (6% vs 3%, p-value<0.001). Unvaccinated patients had a greater incidence of MACE (23% vs 18%, p-value=0.016) during hospitalization and across all follow-up visits. Unvaccinated patients also had a higher mortality rate across all follow-up visits (mortality at one year post-discharge 14% vs 10%, p<0.001). At the 9-12 month follow-up, about a quarter of the patients had at least one long COVID symptom, but unvaccinated patients had a higher rate of long COVID symptoms, including fatigue (23% vs 14%, p<0.001), palpitations (17% to 7%, p-value<0.001), and anxiety (13% to 7%, p=0.002). Conclusions Our data highlight the long-term protective effect of COVID-19 vaccination on reducing morbidity and mortality among COVID-19 patients after hospital discharge. However, a substantial proportion of COVID-19 vaccinated patients still showed persistent long COVID symptoms (22%) and mortality (10%). Future research is needed to investigate individual- and health system-level factors contributing to poor health outcomes post-COVID-19 infection.

Occupational class difference in COVID-19 symptoms in France: contribution of work-related exposures

Abstract Background The association between socio-occupational class and SARS-CoV-2 infection remains inconclusive and may depend on the setting and the pandemic stage. Our study aims to quantify self-reported COVID-19 symptoms by occupational class (OC) in spring 2020 in France and explain observed differences using work-related risk factors. Methods We analyzed data from the EpiCoV population-based cohort, comprising 46,849 active workers aged 18-64 in metropolitan France. COVID-19 symptoms were sudden loss of taste/smell, fever with cough, fever with shortness of breath, or fever with chest oppression. Separating regions highly affected by COVID-19 from other regions, we related OC with reporting of COVID-19 symptoms and assessed the mediation effect of work-related SARS-CoV-2 exposures (contact with the public, using public transportation, self-perceived exposure) using the Karlson-Holm-Breen mediation analysis method. Results During the study period, 7.1% of the workers reported COVID-19 symptoms. In both regions, work-related SARS-CoV-2 exposures were related to higher reporting of symptoms, and those exposures were more prevalent in the lowest than in the highest OCs. However, the association of OC with reporting symptoms was not the same in the two regions. In less affected regions, the lowest OC reported COVID-19 symptoms less often than the highest OC, whereas in highly affected regions, symptoms were more frequent in middle OCs, and this was partly explained by work-related SARS-CoV-2 exposures. Conclusions Different socio-occupational patterns of symptoms were observed in the two groups of regions. The situation in the less affected regions, with more reporting in the highest relative to the lowest classes, may be attributable to exposure factors playing a role opposite to that of work-related exposures. Further studies on OC disparities in COVID-19 severity are needed based on hospitalization and mortality. Key messages • During the early pandemic, in regions less affected by COVID-19, the upper occupational class reported more COVID-19 symptoms, whereas the middle class did so in highly affected regions. • Work-related exposure to SARS-CoV-2 mediates the association between occupational class and reporting COVID-19 symptoms to some extent, even when the occupational gradient is reversed.

Long COVID prevalence differences across 27 European countries that participated in the 2021 Survey of Health, Ageing and Retirement in Europe

Abstract The COVID-19 pandemic caused a significant burden in Europe, with over 60% of infected individuals developing Long COVID symptoms. Variations in Long COVID prevalence across countries are linked to individual-level factors, but the influence of population-based country-level characteristics remains unclear. Thus, our objective was to assess how country-level characteristics related to: (i) the way European countries responded to the COVID-19 pandemic, (ii) their population-level health status, (iii) provision and access to healthcare services, (iv) human development, governance, and environmental risk factors, are associated with Long COVID. We used a sample of 4,004 middle-aged and older adults from 27 European countries who, in summer 2021, participated in Corona Survey 2 (from Survey of Health, Ageing and Retirement in Europe) and who reported COVID-19 infection one year prior to the survey. To assess the potential role of country-level characteristics, while controlling for key individual-level factors, we estimated three sequential multilevel random intercept logistic regression models. Approximately 70% of respondents who had COVID-19 also experienced Long COVID symptoms and there were significant cross-country differences in Long COVID rates, ranging from 32% to 89%. About 13% of the total variance in the risk of having Long COVID can be attributed to cross-country differences and the remaining 87% to individual-level factors. The individual-level characteristics also accounted for 6% of the observed cross-country differences in Long COVID rates (compositional effects) while the country-level characteristics further reduced this variance by over 50%. Both individual and country-level factors influence Long COVID occurrence, emphasizing the need for tailored recovery plans, healthcare planning and resource allocation at the national level to address this condition.

Effect of the COVID-19 pandemic on the well-being of middle-aged and older Europeans

The COVID-19 pandemic has been associated with a general decline in well-being. However, there is limited evidence on the effect of the pandemic on the general population, and especially among the ageing population. We assessed the overall impact of the pandemic on the well-being of middle-aged and older adults residing in 27 European countries, focusing on the time-period before summer 2021. We used a sample of 46,209 respondents from the two population-based longitudinal Corona Surveys collected during summer 2020 and summer 2021. To test our hypotheses, we used latent change score models. All analyses were stratified by sex. The COVID-19 pandemic affected middle-aged and older Europeans’ well-being irrespective of their sex. Being infected by the COVID-19 virus at the start of the pandemic had a negative impact on well-being. As expected, adults with Long COVID experienced the most pronounced decline in well-being. A novel finding was the decline in the level of well-being among adults not infected by the COVID-19 virus. Support should be provided at community levels with specific attention towards individuals with Long COVID symptoms and those infected with COVID-19 at earlier stages of the pandemic.

Risk of long COVID and associated symptoms after acute SARS-COV-2 infection in ethnic minorities: a Danish nationwide cohort study

Abstract Background and aim Ethnic minorities living in high-income countries have been disproportionately affected by COVID-19 in terms of infection rates, hospitalisations, and deaths; however, less is known about long COVID in these populations. Our aim was to examine the risk of long COVID and associated symptoms among ethnic minorities. Methods We used Danish nationwide register-based cohort data on individuals diagnosed with COVID-19 aged ≥18 years (n = 2 334 271) between January 2020 and August 2022. We calculated the risk of long COVID diagnosis and long COVID symptoms among ethnic minorities compared with native Danes using multivariable Cox proportional hazard regression and logistic regression, respectively. Results Of the diagnosed COVID-19 cases, 1 973 998 (84.6%) were native Danes and 360 273 (15.4%) were ethnic minorities. After adjustment for age, sex, civil status, education, family income, and Charlson comorbidity index, ethnic minorities from North Africa (adjusted hazard ratio [aHR] 1.41, 95% CI [1.12,1.79]), Middle East (aHR 1.38, 95% CI [1.24,1.55]), Eastern Europe (aHR 1.35, 95% CI [1.22,1.49]), and Asia (aHR 1.23, 95% CI [1.09,1.40]), had significantly greater risk of long COVID diagnosis than native Danes. In the analysis by largest countries of origin, the greater risks of long COVID diagnosis were found in Iraqis (aHR 1.56, 95% CI [1.30,1.88]), Turks (aHR 1.42, 95% CI [1.24,1.63]), and Somalis (aHR 1.42, 95% CI [1.07,1.91]). A significant factor associated with an increased risk of long COVID diagnosis was COVID-19 hospitalisation. Conclusions Migrants and ethnic minorities had higher risk of long-COVID compared to native Danes.

8.H. Scientific session: Coordinated actions to improve our response to Long COVID at EU and national levels

Abstract The COVID-19 pandemic still has very real and far-reaching consequences for European citizens, healthcare systems and economies. It has been estimated that approximately 10%-20% of people that were infected by SARS-CoV-2, develop Long COVID. Countries within the European Union and elsewhere have been responding to Long COVID in various ways. Some countries initiated a more extensive response to Long COVID, including the creation of multidisciplinary Long COVID clinics. In other counties, Long COVID should be addressed within existing infrastructures within the health care system, which can be hampered by the siloed approach of how services for people with chronic conditions is organised. Moreover, a coordinated and uniform response to Long COVID is complicated by the fact that there is a large variety of terms and definitions of Long COVID and the fact that long COVID symptom are often similar to symptoms of other diseases, thus hampering specific characterisation of patients. While substantial progress has been made in understanding Long COVID we still need more answers about its causes and the most effective treatments. It is also important to understand the impact that Long COVID has on individual lives of those who are being affected - and their families - as well as on societies as a whole. The session aims to take stock of a number of recent insights relating to Long COVID, also with the purpose to identify opportunities for a more coordinated and harmonized approach towards Long COVID at national and international levels. The session will provide room for discussions and engagement with the audience, allowing to help inform future policy agendas. As such, better ways to understand and address Long COVID can also be beneficial for health systems as a whole, given the parallels with how services are provided and policies are set up to address other chronic (non-communicable) diseases. Key messages • Long COVID is still poorly understood, in part relating to the complexity of the condition, also having considerable impacts on individuals and societies. • A more harmonised response can help improve the manners to address it, this to support those still suffering from this long term impact of the COVID-19 pandemic.

Substantial morbidity and mortality due to cardiovascular diseases in hospitalized vaccinated and un-vaccinated patients with COVID-19 from 16 countries: the WHF COVID-19 Long-term study

Abstract Background Long-term adverse consequences of the COVID-19 affect many organ systems, and this requires the identification and appropriate care of diverse symptoms. Purpose The World Heart Federation (WHF) international study describes the burden of clinical sequelae of COVID-19 up to 1 year after hospitalization, including patients from low- middle-and high-income countries. Methods We prospectively recruited patients hospitalized due to COVID-19 from 16 countries between January 2022 and June 2023. Patients were followed up at 1, 3, 6, and 9-12 months after hospital discharge. A standardized questionnaire administered by telephone collected data on long COVID symptoms, quality of life using the EuroQol 5 Dimension scale (EQ-5D), and disease outcomes including new onset diabetes and hypertension, major adverse cardiovascular events (MACE), and mortality. We report a descriptive analysis including demographic characteristics and outcomes up to one year after initial hospitalization. Results Of 2504 patients, the majority were Asian (78%), and male (56%). Mean age was 59.2 years (SD 19.9). Low- and lower-middle-income country participants constituted 65% of the cohort, with upper middle-income and high-income representing 20% and 15%, respectively. Follow-up rate was complete for 86%. 55% had received at least two doses of COVID-19 vaccination. At 1 month, 63% reported at least one persistent symptom, which decreased to 28% at 9-12 months. Fatigue was reported by 45% at 1-month and 17% at final follow-up. Anxiety occurred in 20% and 9% at these respective timepoints, and breathlessness in 12% and 6%. At 9-12 months, moderate to severe impairment of usual activities as measured by EQ-5D occurred in 19%, anxiety/depression in 10%, and mobility problems in 10%. The most frequent post-discharge new-onset illnesses were pulmonary embolism (7%), kidney problems (4%), and hypertension (3%). In-hospital mortality was 4% (n=102), and a further 12% (265 patients) died by one-year. The most common cause was sudden cardiac death (59%), respiratory disease including pulmonary embolism (13%), and stroke (6%). Conclusions We observed a significant burden of post-COVID-19 complications with one fifth of patients with persistent difficulties in usual activities at one year. This underscores the urgent need to understand the underlying mechanisms for organ damage and death, and for targeted preventive strategies and proactive management approaches to reduce them.

Gender-specific impact of COVID-19 in the UAE: Analyzing gender disparities in health and well-being

Abstract Background Understanding gender disparities in health impacts during pandemics is crucial. While early observations of the COVID-19 pandemic suggested higher severity and mortality rates among males, subsequent studies hinted at a disproportionate impact on females’ health and well-being. This study aimed to explore gender-specific differences related to COVID-19 in the United Arab Emirates (UAE). Methods Data from four independent surveys were analyzed to assess gender differences in knowledge about available vaccines, vaccine hesitancy, COVID-19 severity, admission to the Intensive Care Unit (ICU), anxiety among healthcare workers (HCWs), and psychological health of healthcare workers and the general population. Gender gaps were calculated as the absolute difference between males and females. Chi-square tests and logistic regression were performed to test the association between gender, age, and selected outcome variables. Results Males had a significantly higher risk of moderate to severe COVID-19 symptoms (71%) compared to females (63%). The gender gap in symptom severity was smallest among those aged 55+ and highest among adults aged 35-54. Post-discharge, 22% more females reported multiple conditions than males. Among HCWs, females showed lower knowledge (19% gap) and higher vaccine hesitancy (20% gap), with larger gaps among older age groups. Females also experienced more anxiety and psychological stress, especially in the 35-54 age group. Logistic regression confirmed higher odds for females in reporting vaccine hesitancy, long COVID-19 symptoms, and anxiety, even after adjusting for demographic factors. Conclusions This study highlights unequal health outcomes and burdens experienced by women and men during the COVID-19 pandemic in the UAE. The distinct challenges faced by women, including higher mental health burdens and persistent post-recovery symptoms, suggest systemic gender disparities that require targeted attention in healthcare policies and practices. Key messages • Gender disparities in COVID-19 were evident in the UAE with males experiencing severe COVID-19 symptoms, while females experienced post-recovery symptons, vaccine hesitancy, and stress. • Urgent action is required to address gender disparities in COVID-19 impacts, emphasizing mental health support and post-recovery care in policy formulation.

Post-infection symptoms up to 24 months after COVID-19: a matched cohort study in Berlin, Germany

Abstract Background Long-term health consequences after mild COVID-19 are not well described. Our aim was to estimate their prevalence and describe the time course of signs and symptoms for a period of up to 24 months after confirmed SARS-CoV-2 infection. Methods We conducted a cohort study matched for age, sex, and test week among individuals who had attended the public COVID-19 test center at Charité - Universitätsmedizin Berlin, Germany. In early 2022, 576 former COVID-19 patients (>95% non-hospitalised) and 302 uninfected individuals responded to a questionnaire on retrospective monthly symptoms since the test date up to 24 months after. Results Symptoms compatible with long COVID were present in 42.9% (247/576) of former COVID-19 patients, compared with 21.2% (64/302) in the uninfected group. In former patients, unadjusted odds ratios (OR) were highest for disturbed taste/smell (OR 9.1 [95% CI: 4.0 - 21.1]), memory difficulties (OR 5.1 [95% CI: 2.9 - 8.9]) and shortness of breath at rest (OR 4.5 [95% CI: 1.9 - 10.6]). Whilst in most former COVID-19 patients, symptoms occurred in one coherent period and resolved after a median of 6.5 months, taste/smell disturbance and neurological/cognitive symptoms showed longer times until recovery and 28.7% (31/108) still reported long COVID-compatible symptoms 18 months after initial COVID-19. Factors associated with long COVID-compatible symptoms included hospitalisation (OR 4.2 [95% CI: 1.7 - 10.8], symptomatic COVID-19 infection (OR 3.4 [95% CI: 1.9 - 6.3], low household income (OR 1.8 [95% CI: 1.2 - 2.7], and female sex (OR 1.7 [95% CI: 1.2 - 2.4]). Conclusions Post-infection symptoms in mild COVID-19 mostly persist for about half a year, but sometimes longer. Among uninfected individuals who never experienced COVID-19, 21.2% also reported long COVID-compatible symptoms. The current long COVID definition might require revision to prevent misclassification and over-reporting, and to improve diagnosis and prevalence estimates. Key messages • A more precise definition of long COVID is needed to prevent over-reporting of symptoms compatible with long COVID, and to improve diagnosis, prevalence estimates and research harmonisation. • Post-infection symptoms after mild COVID-19 are common, mostly persist for about half a year but sometimes longer for more than 20 months.

SARS-CoV-2 variants induce increased inflammatory gene expression but reduced interferon responses and heme synthesis as compared with wild type strains

SARS-CoV-2 variants of concern (VOC) have been associated with increased viral transmission and disease severity. We investigated the mechanisms of pathogenesis caused by variants using a host blood transcriptome profiling approach. We analysed transcriptional signatures of COVID-19 patients comparing those infected with wildtype (wt), alpha, delta or omicron strains seeking insights into infection in Asymptomatic cases.Comparison of transcriptional profiles of Symptomatic and Asymptomatic COVID-19 cases showed increased differentially regulated gene (DEGs) of inflammatory, apoptosis and blood coagulation pathways, with decreased T cell and Interferon stimulated genes (ISG) activation. Between SARS-CoV-2 strains, an increasing number of DEGs occurred in comparisons between wt and alpha (196), delta (1425) or, omicron (2313) infections. COVID-19 cases with alpha or, delta variants demonstrated suppression transcripts of innate immune pathways. EGR1 and CXCL8 were highly upregulated in those infected with VOC; heme biosynthetic pathway genes (ALAS2, HBB, HBG1, HBD9) and ISGs were downregulated. Delta and omicron infections upregulated ribosomal pathways, reflecting increased viral RNA translation. Asymptomatic COVID-19 cases infected with delta infections showed increased cytokines and ISGs expression. Overall, increased inflammation, with reduced host heme synthesis was associated with infections caused by VOC infections, with raised type I interferon in cases with less severe disease.

Risk factors for COVID-19 among healthcare workers: a hospital-based cohort study in Portugal

Abstract Background Healthcare workers (HCWs) have an increased risk of transmitting SARS-CoV-2 infection to frail patients and are also at higher risk of exposure. Hence, it is essential to understand the risk factors for infection of HCWs to limit adverse events occurring in healthcare facilities. This study aimed to identify risk factors for symptomatic COVID-19 infection among HCWs in the hospital context. Methods We used data from a hospital-based cohort study followed between December 2020 and January 2022 in three central Portuguese hospitals. Following the study protocol, RT-PCR testing was performed whenever an HCW reported any symptom compatible with COVID-19. Characteristics of infected (at least one positive RT-PCR with symptoms) versus non-infected HCW were compared using the Chi-square test. Results A total of 3034 HCWs were followed during 13 months and 533 had a positive test for SARS-CoV-2. A higher percentage (> 40 %) of infections were in individuals without a primary vaccination scheme. Other than age, no differences were found regarding individual characteristics: infected HCWs had a higher percentage of individuals aged 18 to 50 years old compared to the non-infected HCWs (74.7 % versus 66.2 %, p < 0.001). Regarding work functions, no differences were found for self-report of working in direct contact with COVID-19 patients. Additionally, the percentage of HCWs who declared to perform tracheal intubation procedures was similar in infected versus non-infected HCWs (6.2 % versus 8.9 %, p = 0.080). Conclusions Infected HCWs were younger than the non-infected. HCWs working in direct contact with patients or performing tracheal intubations didn’t exhibits increased rates of infection suggesting the success of preventive measures and other standard procedures in limiting infection transmission in healthcare facilities. Key messages • HCWs working in direct contact with COVID-19 patients or performing tracheal intubations were not the most infected personnel. • Preventive measures and other standard procedures were successful in limiting COVID-19 infection transmission in healthcare facilities.

The Contribution of Neutrophil Extracellular Traps to Coagulopathy in Patients with COVID-19-Related Thrombosis

COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is associated with hypercoagulability and increased incidence of thrombotic events. In this study, we investigated the levels of neutrophil extracellular trap biomarkers and von Willebrand factor to assess if these could predict the occurrence of a thrombotic event in COVID-19 patients. We enrolled 202 patients hospitalized with symptomatic COVID-19 infection. Of those, 104 patients did not experience any type of thrombotic events before or during their hospitalization. These patients were compared to the other cohort of 98, who experienced thrombotic events before or during their hospitalization. In total, 61 patients who experienced thrombotic events had the event after initial blood collection, so the predictive capacity of biomarkers in these patients was evaluated. Citrullinated histone H3 was the best predictive biomarker for thrombotic events in COVID-19 regardless of age, sex, and race; disease severity was also a significant predictor in most thrombotic event groups. These results may better inform treatment and prophylaxis of thrombotic events in COVID-19 and similar viral illnesses in the future to improve outcomes and reduce mortality.

The effect of COVID-19 vaccination on symptomatic infection and related symptoms among preterm-born children aged 3–7 years in China

Vaccination plays a crucial role in preventing and controlling SARS-CoV-2 infections as well as their associated adverse outcomes. But there is a notable lack of research on the effectiveness of COVID-19 vaccination in children, particularly those young preterm-born children, who are more vulnerable to severe outcomes from SARS-CoV-2 infection. We aimed to determine the effect of vaccination with inactivated vaccines BBIBP-CorV and CoronaVac on symptomatic COVID-19 infection and related symptoms in preterm-born children aged 3–7 years after relaxation of the COVID-19 prevention and control measures in December 2022 in China. We performed a retrospective cohort study involving 242 preterm-born children aged 3–7 years and the data were collected in March 2023. Logistic regression models and modified Poisson regression models combined with entropy balancing were used to explore the associations of vaccination against SARS-CoV-2 with symptomatic COVID-19, specific symptoms, and persistent symptoms one month after recovery from COVID-19. Of the 242 recruited preterm-born children, 156 (64.5%) were vaccinated with inactivated vaccines BBIBP‐CorV and CoronaVac. After entropy balancing, the covariates were balanced between the vaccinated and the unvaccinated groups, with standardized mean difference < 0.001. Vaccination with the said SARS-CoV-2 vaccines lowered the risk of developing symptomatic COVID-19 in preterm-born children (risk ratio [RR] = 0.783; 95% confidence interval [CI]: (0.711, 0.861). Likewise, COVID-19 vaccination was associated with a decline in the risk of pneumonia (odds ratio [OR] = 0.318; 95% CI 0.110, 0.913), fever (RR = 0.710; 95% CI 0.635, 0.794), high fever (RR = 0.542; 95% CI 0.297, 0.988), sore throat (OR = 0.304; 95% CI 0.139, 0.664), and persistent symptoms (RR = 0.425; 95% CI 0.182, 0.993). Immunization with inactivated vaccines BBIBP‐CorV and CoronaVac provides protection against symptomatic COVID-19 for preterm-born children 3–7 years.

'I am more stressed if my infection affects others': development of a COVID-19-related stress scale in older people and examination of its validity and associations with mental health risks.

COVID-19 was a collective traumatic event; however, different individuals may have perceived it differently. This study investigated what older people in a collective culture perceived as stressful during COVID-19 and examined how different stressors related to COVID-19 infection and mental health risks. Thirty-six participants from diverse backgrounds engaged in a three-round Delphi study to generate items for a COVID-19-related stress scale for older adults (CSS-OA). Subsequently, 4674 people (aged ≥60 years) participated in a cross-sectional telephone survey; interviewers collected their responses to CSS-OA and information about COVID-19 infection, depressive symptoms, anxiety, loneliness and demographics. Exploratory factor analysis and confirmatory factor analysis were conducted on CSS-OA. A multiple indicator multiple cause (MIMIC) model was used to examine associations between CSS-OA and other measures. The Delphi process generated eight items, all secondary or tertiary stressors related to infection. Exploratory factor analysis revealed a three-factor model, and confirmatory factor analysis confirmed an excellent fit (comparative fit index = 0.99, root mean square error of approximation = 0.06). Pre-existing mental health conditions, having family members/friends infected with COVID-19, loneliness, anxiety and depressive symptoms were associated with higher stress. Conversely, self-infection with COVID-19, older age, being female and living alone were negatively associated with some domains of CSS-OA (all P < 0.05). The Delphi process enhanced our understanding of what older people perceived as stressful, much of which resulted from certain healthcare strategies and reflected cultural influences. These and the MIMIC results highlight the need to balance public health policies with respect to infectious diseases and older people's mental health and quality of life.

Potential Mechanisms of Covid-19 Related Nervous System Damage and Effects on Female Fertility.

Signs and symptoms that persist or worsen beyond the "acute COVID-19" stage are referred to as long-COVID. These patients are more likely to suffer from multiple organ failure, readmission, and mortality. According to a recent theory, long-lasting COVID-19 symptoms may be caused by abnormal autonomic nervous system (ANS) activity, such as hypovolemia, brain stem involvement, and autoimmune reactions. Furthermore, COVID-19 can also cause impaired fertility in women, which may also be related to inflammation and immune responses. Currently, few treatments are available for long-COVID symptoms. This article reviews the major effects of COVID-19 on the nervous system and female fertility, as well as offers potential treatment approaches.

Associations between physical activity, long COVID symptom intensity, and perceived health among individuals with long COVID

IntroductionPhysical activity (PA) is associated with better perceived health among individuals with chronic conditions. However, PA’s relationship with perceived health in people with long COVID is unclear and may be modified by long COVID symptom burden.MethodsParticipants with self-reported long COVID (N = 379) responded to an online survey cross-sectionally assessing PA levels, perceived physical and mental health, and intensity of CDC-defined long COVID symptoms on a 0–100 scale. Linear regression analyses assessed the associations between PA and perceived physical and mental health, after accounting for sociodemographic, health behavior, and long COVID intensity variables, with post-hoc analyses comparing health across PA levels.ResultsIncreasing levels of PA were associated with increases in perceived physical health (β = 0.27, p &amp;lt; 0.001) and mental health (β = 0.19, p &amp;lt; 0.001) after accounting for sociodemographic and health behavior variables. PA remained significantly associated with perceived physical health (β = 0.15, p &amp;lt; 0.001) but not perceived mental health (β = 0.09, p = 0.067) after the adding long COVID intensity to the model. Insufficiently active and active groups reported significant better physical and mental health than the inactive group (ps &amp;lt; 0.05), while the highly active group did not significantly differ from any other group on perceived physical or mental health (ps &amp;gt; 0.05). Inactive individuals reported significantly greater long COVID symptom burden compared to each other PA level (ps &amp;lt; 0.05).ConclusionHigher levels of PA may be associated with better physical health among individuals with long COVID, even after accounting for symptom intensity. However, long COVID symptom intensity may confound the relationship between PA and mental health among individuals with long COVID.

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

BackgroundEvidence on long COVID symptom clustering patterns among patients with COVID-19 is limited. We summarized long COVID symptoms in clusters defined by number of symptoms co-occurring together, and we assessed Health-Related Quality of Life (HQRoL), Work Productivity and Activity Impairment (WPAI) outcomes across these clusters over time. We assessed associations between the clusters and BNT162b2 vaccination status.MethodsA prospective longitudinal patient-reported outcomes (PRO) study recruited laboratory-confirmed symptomatic COVID-19 patients seeking testing from a national retail pharmacy. Long COVID-19 symptoms were self-reported by participants at 4-week, 3-month and 6-month surveys. Patient classes identified via latent class analysis (LCA) with long COVID-19 symptoms were simplified into clusters based on number of symptoms. HRQoL and WPAI outcomes were collected using EQ-ED-5L and WPAI: GH questionnaires. Mixed models for repeated measures analyses were conducted to examine associations between exposure groups and outcomes.ResultsThe study included 328 participants that were segmented into three groups of long COVID-19 symptoms based on LCA and then simplified by the number of symptoms (Cluster 1 low, <2; Cluster 2 moderate, 2–6; and Cluster 3 high, >6 symptoms). The number of long COVID-19 symptoms was negatively associated with HRQoL and WPAI, whereby participants with high symptom burden (>6 symptoms) had the lowest HRQoL and WPAI scores assessed by absenteeism, presenteeism, work productivity loss, activity impairment, and hours worked metrics. Compared with those unvaccinated and not up-to-date with COVID-19 vaccination, subjects boosted with BNT162b2 consistently reported less symptom burden during the follow-up, regardless of their symptom-based cluster.ConclusionThree distinct patient clusters based on frequency of long COVID symptoms experienced different HRQoL and WPAI outcomes over 6 months. The cluster with more concomitant symptoms experienced greater burden than the others. Participants up-to-date with BNT162b2 reported lower symptom burden across all clusters and timeframes.Clinical trial registrationClinicaltrials.gov NCT05160636.

Antibodies as Promising Molecules to Block Spike Glycoprotein from SARS-CoV2

Abstract: COVID-19 is caused by a new SARS-CoV-2 virus from the Coronaviridae family, responsible for developing severe acute respiratory syndrome (SARS-CoV). Its emergence in 2019 presented several challenges to global health. The virus can infect host cells using the ACE2 receptor, and after infection, several clinical manifestations appear, ranging from mild symptoms to death. One approach that has shown promising results is convalescent plasma since convalescent plasma (CP) consists of a concentrate of immunoglobulins in the blood of patients recently infected with the coronavirus for those currently infected. Therefore, this therapy uses antibodies in the plasma to neutralize the virus. This literature review aims to evaluate the efficacy of CP therapy in symptomatic COVID-19 patients by analyzing clinical trials and studies published between 2020 and 2023. Therefore, the search identified studies in which the majority reported the efficacy of using convalescent plasma to treat and alleviate the clinical condition of patients diagnosed with COVID-19. Important factors influence the efficacy of CP therapy, such as the timing of administration and the severity of the disease. Early administration in mild and moderate cases has shown promise. Furthermore, molecular docking analysis suggests that antibodies can cause conformational changes in the SARS-CoV-2 spike protein, raising the hypothesis that using CP may interfere with viral entry into host cells.

Epigenetic changes in patients with post-acute COVID-19 symptoms (PACS) and long-COVID: A systematic review.

Up to 30% of people infected with SARS-CoV-2 report disabling symptoms 2 years after the infection. Over 100 persistent symptoms have been associated with Post-Acute COVID-19 Symptoms (PACS) and/or long-COVID, showing a significant clinical heterogeneity. To develop effective, patient-targeted treatment, a better understanding of underlying mechanisms is needed. Epigenetics has helped elucidating the pathophysiology of several health conditions and it might help unravelling inter-individual differences in patients with PACS and long-COVID. As accumulating research is exploring epigenetic mechanisms in PACS and long-COVID, we systematically summarized the available literature on the topic. We interrogated five databases (Medline, Embase, Web of Science, Scopus and medXriv/bioXriv) and followed PRISMA and SWiM guidelines to report our results. Eight studies were included in our review. Six studies explored DNA methylation in PACS and/or long-COVID, while two studies explored miRNA expression in long-COVID associated with lung complications. Sample sizes were mostly small and study quality was low or fair. The main limitation of the included studies was a poor characterization of the patient population that made a homogeneous synthesis of the literature challenging. However, studies on DNA methylation showed that mechanisms related to the immune and the autonomic nervous system, and cell metabolism might be implicated in the pathophysiology of PACS and long-COVID. Epigenetic changes might help elucidating PACS and long-COVID underlying mechanisms, aid subgrouping, and point towards tailored treatments. Preliminary evidence is promising but scarce. Biological and epigenetic research on long-COVID will benefit millions of people suffering from long-COVID and has the potential to be transferable and benefit other conditions as well, such as Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). We urge future research to employ longitudinal designs and provide a better characterization of included patients.

Clinical Outcomes of Pediatric Cancer Patients with COVID-19: A Cross-Sectional Study

Background: Considering the widespread COVID-19 pandemic and its impact, especially on children, particularly those with cancer, in terms of transmission risk, mortality, and the occurrence of the disease based on various studies in different countries, we decided to conduct this study to improve the care of children with cancer regarding COVID-19. Materials and Methods: A descriptive cross-sectional study with a confirmed diagnosis of COVID-19 consisted of obtaining 20 mL of blood samples from the participants in a random manner. Diagnostic examinations, including CT scans, chest X-rays, and a range of hematologic and blood tests, such as complete blood count, ESR, CRP, and D-Dimer, were performed on all patients. Results: This study contains 26 males and 12 females. The mean age of the patients was 3.81 ± 6.35 years. The majority of cancer patients with COVID-19 were diagnosed with Acute Lymphoblastic Leukemia (ALL) (47.7%). The most common symptoms of COVID-19 in the patients were fever (73.7%), cough (39.5%), and nausea/vomiting (21.1%). 40.4% of the patients had pathological findings suggestive of COVID-19 on their chest CT scans. 60.52% of the patients had an elevated Erythrocyte Sedimentation Rate (ESR), and 73.68% had an elevated C-reactive protein (CRP) level. Conclusion: Despite the outcomes of COVID-19 in most children with cancer in this study, children with cancer still experience risks from COVID-19, and it is unclear how delays and interruptions in cancer treatment and direct damage from the virus may impact long-term outcomes in these patients.