Persistent Symptoms in Adult Patients 1 Year After Coronavirus Disease 2019 (COVID-19): A Prospective Cohort Study

Longitudinal assessment of health-related quality of life after SARS-CoV-2 infection and the associations with clinical and social characteristics in a general practice population

BACKGROUND

We aimed to investigate the longitudinal impact of COVID-19 and the effects of clinical and psychosocial factors, accounting for post-COVID conditions (PCC), on the mental and physical aspect of health-related quality of life (HRQoL) of patients diagnosed with COVID-19.

METHODS

Data from the Nivel Corona Cohort were used, which includes individuals with an established SARS-CoV-2 infection that received four questionnaires over a year's time with questions regarding HRQoL (SF-12), symptoms and social characteristics. PCC was determined based on questionnaire data. Data on medical history and healthcare utilization were obtained from electronic health records from general practice. A repeated measures linear mixed model was used to explore associations between clinical and social characteristics, and the course of mental and physical HRQoL after a SARS-CoV-2 infection, taking PCC into account.

RESULTS

One hundred fifty-eight individuals of whom it was possible to determine whether they had PCC or not were included in this study. Seventy-six (48.1%) developed PCC, which was associated with a persistent reduction in both physical and mental HRQoL. Hospitalization during the acute phase of the infection had a negative impact on the physical HRQoL, which decreased over time. Females, people older than 53, and those with increased resilience and mental HRQoL before infection were more likely to report a more positive mental HRQoL over time.

CONCLUSION

The negative association PCC has with both mental and physical HRQoL for at least six months, calls for more research to support patients with PCC.

Mechanisms of long COVID and the path toward therapeutics

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

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

Background

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

Objective

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

Methods

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

Results

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

Conclusions

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

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

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

Chronic obstructive pulmonary disease, asthma, and mechanical ventilation are risk factors for dyspnea in patients with long COVID: A Japanese nationwide cohort study

BACKGROUND

Patients often experience multiple prolonged symptoms following acute coronavirus disease 2019 (COVID-19) recovery, defined as long coronavirus disease (COVID). Patients with long COVID may experience dyspnea during acute and post-acute phases. Therefore, this study aimed to identify specific risk factors for dyspnea in patients with long COVID.

METHODS

Hospitalized patients with COVID-19, aged ≥18 years, were enrolled in this multicenter cohort study conducted at 26 medical institutions across Japan. Clinical data during hospitalization and patient-reported outcomes after discharge at the 3, 6, and 12-month follow-ups were retrieved from medical records and paper-based or smartphone application-based questionnaires, respectively.

RESULTS

Generalized linear mixed model (GLMM) analysis of prolonged dyspnea at each time point during follow-up showed that this symptom was associated with chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.74; 95% confidence interval [CI], 1.31-5.74), asthma (OR, 2.21; 95%CI, 1.17-4.16), and ventilator management (OR, 3.10; 95%CI, 1.65-5.83). In addition, patients with COPD (44.4%) and ventilator management (25.0%) were more frequently associated with delayed dyspnea onset. The generalized estimating equations analysis results with multiple imputed datasets, conducted as a sensitivity analysis, confirmed the adjusted GLMM analysis results.

CONCLUSIONS

Prolonged dyspnea was associated with COPD, asthma, and severe infection that required mechanical ventilation in the Japanese population with long COVID. Further investigation is needed to clarify its mechanism and develop prophylactic and therapeutic strategies for dyspnea in patients with long COVID.

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

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

Self-reported body function and daily life activities 18 months after Covid-19: A nationwide cohort study

AIMS

This study aimed to investigate body function and daily life activities 18 months after Covid-19 infection, depending on the initial severity of disease and according to sex.

METHODS

All 11,955 individuals on sick leave due to Covid-19 during the first wave of the pandemic in Sweden were invited to answer a questionnaire regarding experiencing negative changes in body function and daily life activities approximately 18 months after the start of sick leave. The analysis of data included descriptive statistics, group comparisons and multivariable binary logistic regressions (two groups).

RESULTS

Of 5464 responders (45.7%), 4676 (85.6%) reported experiencing at least one problem with body function, and the reported prevalence of problems with daily life activities was 46%. The most frequently reported problems were fatigue (66.3%), cognition, sleep and movement. In general, women and those initially hospitalised reported more problems. In the regression analyses, problems with body function could partly explain whether individuals experienced problems with daily life activities. However, only fatigue and movement significantly contributed throughout all groups (p<0.001). Furthermore, the odds ratios for fatigue were larger in regressions for women than for men.

CONCLUSIONS

In this nationwide study, more than 8 out of 10 individuals experienced problems with body function 18 months after being on sick leave due to Covid-19, with women and those initially hospitalised reporting more problems. Problems with body function, such as fatigue, could partly explain problems with daily life activities. However, the mechanisms behind the consequences are not yet clear and need to be further investigated.

Neurological complications caused by SARS-CoV-2

SUMMARYSARS-CoV-2 can not only cause respiratory symptoms but also lead to neurological complications. Research has shown that more than 30% of SARS-CoV-2 patients present neurologic symptoms during COVID-19 (A. Pezzini and A. Padovani, Nat Rev Neurol 16:636-644, 2020, https://doi.org/10.1038/s41582-020-0398-3). Increasing evidence suggests that SARS-CoV-2 can invade both the central nervous system (CNS) (M.S. Xydakis, M.W. Albers, E.H. Holbrook, et al. Lancet Neurol 20: 753-761, 2021 https://doi.org/10.1016/S1474-4422(21)00182-4 ) and the peripheral nervous system (PNS) (M.N. Soares, M. Eggelbusch, E. Naddaf, et al. J Cachexia Sarcopenia Muscle 13:11-22, 2022, https://doi.org/10.1002/jcsm.12896), resulting in a variety of neurological disorders. This review summarized the CNS complications caused by SARS-CoV-2 infection, including encephalopathy, neurodegenerative diseases, and delirium. Additionally, some PNS disorders such as skeletal muscle damage and inflammation, anosmia, smell or taste impairment, myasthenia gravis, Guillain-Barré syndrome, ICU-acquired weakness, and post-acute sequelae of COVID-19 were described. Furthermore, the mechanisms underlying SARS-CoV-2-induced neurological disorders were also discussed, including entering the brain through retrograde neuronal or hematogenous routes, disrupting the normal function of the CNS through cytokine storms, inducing cerebral ischemia or hypoxia, thus leading to neurological complications. Moreover, an overview of long-COVID-19 symptoms is provided, along with some recommendations for care and therapeutic approaches of COVID-19 patients experiencing neurological complications.

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

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

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Six and twelve-month respiratory outcomes in a cohort of severe and critical COVID-19 survivors: A prospective monocentric study in Latin America

Introduction

Severe COVID-19 can result in long-term sequelae known as "chronic COVID," characterized by a wide range of persistent physical and mental symptoms. Chest imaging and pulmonary function test alterations have been observed in recovered patients. Most studies focus on up to a 3-month follow-up after symptom onset or hospital discharge, with few reports on long-term follow-up and limited evidence regarding disease progression in Latin America.

Methods

This study aims to describe the clinical characteristics and changes in pulmonary function, imaging, and quality of life in severe and critical COVID-19 patients requiring ICU admission in a high-complexity hospital in Latin America. A prospective cohort of survivors underwent clinical, radiological, pulmonary function, and quality of life assessments 6 and 12 months post-discharge.

Results

One hundred twelve patients were included, all of whom attended the 6-month follow-up, and 99 returned for the 12-month follow-up. Most subjects had no previous respiratory symptoms or significant medical history. At the end of the follow-up period, 74% of the patients showed interstitial infiltrates in chest tomography and a higher frequency of fibroatelectatic tracts and parenchymal bands. Pulmonary function tests returned to normal ranges, except for carbon monoxide diffusion, but no altered scores were reported in the questionnaires.

Conclusion

Despite residual radiological findings, most parameters studied in severe and critical COVID-19 survivors improved over the 12-month follow-up period. Regardless of the imaging abnormalities, the improvement in variables such as symptomatic relief and normal pulmonary function suggests that these alterations are transient. Carbon monoxide diffusion did not normalize by the end of the follow-up, which is consistent with the abnormalities reported in multiple studies, indicating a potential disease-related pattern.

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

BACKGROUND

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

PURPOSE AND METHODS

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

RESULTS

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

The Psychological Impact of COVID-19: A Comparative Analysis of Pre-Lockdown and During-Lockdown Periods Among Saudi General Population

Background

Prior research has revealed substantial psychological impacts of COVID-19 among the general population. However, there is a noticeable gap in studies addressing the enduring anxiety levels before and during lockdown periods of the COVID-19 pandemic.

Objective

The study assessed and compared the psychological impact of the COVID-19 pandemic before and during lockdown periods among the general population in Saudi Arabia.

Methods

A validated and reliable General Anxiety Disorder (GAD)-7 instrument was used to quantify stress levels by measuring anxiety. Nonprobability snowball sampling was used to collect data from 516 participants residing in Saudi Arabia. The difference in scores for each of the seven related questions of GAD-7 was determined using a non-parametric Wilcoxon rank test.

Results

A mild level of anxiety was consistently observed both before and during the lockdown, as indicated by GAD-7 scores of 6.17 (SD = 5.5) before the lockdown and 6.42 (SD = 5.7) during the lockdown. There were no differences in GAD-7 scores before 6.17 (SD = 5.5) and during 6.42 (SD = 5.7) the lockdown periods. However, levels of moderate anxiety increased by 5% during the lockdown period. Anxiety levels before and during lockdown were significantly associated with gender (χ2 (3, n = 516) =11.23 p = 0.01) and employment status (χ2 (3, n = 516) = 9.41 p = 0.024). Among the GAD-7 questionnaire items, item number 1 ("Feeling nervous, anxious, or on edge") (p= 0.00) and item number 7 ("Feeling afraid as if something awful might happen") (p= 0.025) showed a significant association with anxiety levels before and during the lockdown periods.

Conclusion

The enduring prevalence of mild anxiety, persisting both before and during the lockdown periods, underscores the profound impact of COVID-19 on the mental health of the general population in Saudi Arabia.

WITHDRAWN: Proteogenomic analyses identify coagulation factor XI as a thromboinflammatory mediator of long COVID

The authors have withdrawn their manuscript due to analytical errors invalidating the main study findings. The authors of this work discovered the errors after submitting the initial version of the preprint. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

Impact of COVID-19 critical illness on functional status, fatigue symptoms, and health-related quality of life one-year after hospital discharge: a systematic review and meta-analysis

PURPOSE

To estimate the prevalence and severity of impairments in functional status, fatigue, and health-related quality of life (HRQoL) among critical COVID-19 survivors one-year after hospital discharge.

METHODS

A systematic review was conducted following PRISMA statement and registered in PROSPERO (CRD42021258356), with searches in eight databases. Observational studies were selected. The prevalence meta-analysis of abnormalities was performed using random-effects models. Risk of bias was evaluated using the National Heart, Lung, and Blood Institute tool.

RESULTS

Twenty studies were included, with data collected between 12 and 13.5 months after hospital discharge and a total of 1828 participants. Of these, 71% were men, and 77.7% were intubated in the intensive care unit (ICU). Impairments and sequelae were identified in varying prevalence and degrees, with greater impact on functional capacity and physical components of fatigue and HRQoL. The prevalence of abnormalities of 32.3% [95% CI 23.9; 41.9] found in the meta-analysis is substantially high. Most studies were classified as having fair and poor quality.

CONCLUSION

Critical COVID-19 survivors experience impairments in functional status, fatigue, and HRQoL to varying degrees one-year after hospital discharge, particularly among patients who stayed in the ICU and on MV for a prolonged period.

Effects of Post-COVID-19 Syndrome on Quality of Life Among Airline Crew

Background: Interest in post-coronavirus disease 2019 (COVID-19) syndrome following COVID-19 infection has been increasing. Maintaining quality of life (QoL) is vital for airline crews because they work in a special environment, where they are responsible for the passengers' safety. This study aims to closely investigate factors affecting the QoL of airline crews, including post-COVID-19 syndrome. Methods: This study was designed as a cross-sectional survey, comprising 167 crews. Findings: Age-specific significant differences were observed in social, overall, and total QoL scores. The physical domain QoL was significantly higher in the cockpit crews than that in the cabin crews. Significant differences were found in psychological and overall QoL depending on years of continuous service. Social domain and environmental QoL were lower in those who had no symptoms after being diagnosed with COVID-19 than in those who were symptomatic. Among the participants, 4.2% had post-COVID-19 syndrome, indicating significant differences in the physical domain, depending on whether they exhibit post-COVID-19 syndrome. Conclusion: It is urgent to develop measures to increase the QoL of airline crews, investigate post-COVID-19 syndrome before returning to work, and develop strategies to manage it. Application to practice: The QoL among airline crews differed not only by the demographic characteristics of the participants but also by the presence of symptoms during COVID-19 diagnosis and post-COVID-19 syndrome. Higher QoL among airline crews is associated with the safety of both airline crews and passengers. Therefore, it is necessary to establish a systematic management protocol for airline crews returning to work after following COVID-19 infection.

Dissociable effects of mild COVID-19 on short- and long-term memories

Recent studies have highlighted the presence of cognitive deficits following COVID-19 that persist beyond acute infection, regardless of the initial disease severity. Impairments in short- and long-term memory are among the core deficits reported by patients and observed in objective tests of memory performance. We aimed to extend previous studies by examining performance in a task that allows us to directly compare and contrast memories at different timescales. More specifically, we assessed both short- and long-term memories for contextual-spatial associations encoded during a common session and probed at different durations using an equivalent task in non-hospitalized individuals recovering from mild COVID-19 compared to healthy controls. The approach equated all aspects of memory materials and response demands, isolating performance changes resulting only from memory timescales and thus allowing us to quantify the impact of COVID-19 on cognition. In addition to providing measures of accuracy and response times, the task also provided a sensitive continuous readout of the precision of memory representations, specifically by examining the resolution with which spatial locations were retained in memory. The results demonstrated selective impairment of long-term memory performance in individuals recovering from mild COVID-19 infection. Short-term memory performance remained comparable to healthy controls. Specifically, poor precision of long-term memory representations was demonstrated, which improved with days since diagnosis. No such relationship was observed for short-term memory performance. Our findings reveal a specific impairment to the precision of spatial-contextual long-term memory representations in individuals recovering from mild COVID-19 and demonstrate evidence of recovery in long-term memory over time. Further, the experimental design provides a carefully controlled and sensitive framework to assess memory across different durations with the potential to provide more detailed phenotyping of memory deficits associated with COVID-19 in general.

The intersection of microbiome and autoimmunity in long COVID-19: Current insights and future directions

Long COVID-19 affects a significant percentage of patients and is characterized by a wide range of symptoms, including weariness and mental fog as well as emotional symptoms like worry and sadness. COVID-19 is closely linked to the autoimmune disorders that are becoming more prevalent worldwide and are linked to immune system hyperactivation, neutrophil extracellular trap (NET) development, and molecular mimicry pathways. Long-term COVID-related autoimmune responses include a watchful immune system referring to the ability of immune system to constantly monitor the body for signs of infection, disease, or abnormal cells; altered innate and adaptive immune cells, autoantigens secreted by living or dead neutrophils, and high concentrations of autoantibodies directed against different proteins. The microbiome, which consists of billions of bacteria living in the human body, is essential for controlling immune responses and supporting overall health. The microbiome can affect the course of long COVID-associated autoimmunity, including the degree of illness, the rate of recovery, and the onset of autoimmune reactions. Although the precise role of the microbiome in long COVID autoimmunity is still being investigated, new studies indicate that probiotics, prebiotics, and dietary changes-interventions that target the microbiome-may be able to reduce autoimmune reactions and enhance long-term outcomes for COVID-19 survivors. More research is required to precisely understand how the microbiome affects COVID-19-related autoimmunity and to create tailored treatment plans.

The Silent Syndrome of Long COVID and Gaps in Scientific Knowledge: A Narrative Review

COVID-19 is still a major public health concern, mainly due to the persistence of symptoms or the appearance of new symptoms. To date, more than 200 symptoms of long COVID (LC) have been described. The present review describes and maps its relevant clinical characteristics, pathophysiology, epidemiology, and genetic and nongenetic risk factors. Given the currently available evidence on LC, we demonstrate that there are still gaps and controversies in the diagnosis, pathophysiology, epidemiology, and detection of prognostic and predictive factors, as well as the role of the viral strain and vaccination.

Fecal microbiota transplantation alleviates mild-moderate COVID-19 associated diarrhoea and depression symptoms: A prospective study of a randomized, double-blind clinical trial

Currently, the emergence of the endemic Coronavirus disease (COVID-19) situation still poses a serious threat to public health. However, it remains elusive about the role of fecal microbiota transplantation in treating COVID-19. We performed a randomized, double-blind, placebo-controlled clinical trial enrolling a cohort of 40 COVID-19 patients with mild-moderate symptoms. Our results showed that fecal microbiota transplantation provided an amelioration in diarrhoea (p = 0.026) of digestive system and depression (p = 0.006) of neuropsychiatric-related symptom in COVID-19 patients, respectively. Meanwhile, we found that the number of patients with diarrhoea decreased from 19 to 0 on day 7 after fecal microbiota transplantation treatment, and it was statistically changed compared to the placebo group (p = 0.047). Of note, the serum concentration of aspartate aminotransferase-to-alanine aminotransferase ratio (AST/ALT, fecal microbiota transplantation, pre vs. post: 0.966 vs. 0.817), a biomarker for predicting long COVID-19, was significantly reduced by fecal microbiota transplantation. In all, our study supports that fecal microbiota transplantation could be a novel therapeutic strategy for COVID-19 patients with diarrhoea and depressive symptoms, which is potentially valuable in ameliorating long COVID-19 symptoms.

Revealing the Hidden Impacts: Insights into Biological Aging and Long-Term Effects in Pauci- and Asymptomatic COVID-19 Healthcare Workers

This study explores the role of inflammation and oxidative stress, hallmarks of COVID-19, in accelerating cellular biological aging. We investigated early molecular markers-DNA methylation age (DNAmAge) and telomere length (TL)-in blood leukocytes, nasal cells (NCs), and induced sputum (IS) one year post-infection in pauci- and asymptomatic healthcare workers (HCWs) infected during the first pandemic wave (February-May 2020), compared to COPD patients, model for "aged lung". Data from questionnaires, Work Ability Index (WAI), blood analyses, autonomic cardiac balance assessments, heart rate variability (HRV), and pulmonary function tests were collected. Elevated leukocyte DNAmAge significantly correlated with advancing age, male sex, daytime work, and an aged phenotype characterized by chronic diseases, elevated LDL and glycemia levels, medications affecting HRV, and declines in lung function, WAI, lymphocyte count, hemoglobin levels, and HRV (p < 0.05). Increasing age, LDL levels, job positions involving intensive patient contact, and higher leukocyte counts collectively contributed to shortened leukocyte TL (p < 0.05). Notably, HCWs exhibited accelerated biological aging in IS cells compared to both blood leukocytes (p ≤ 0.05) and NCs (p < 0.001) and were biologically older than COPD patients (p < 0.05). These findings suggest the need to monitor aging in pauci- and asymptomatic COVID-19 survivors, who represent the majority of the general population.

Quality of Sleep and Mental Symptoms Contribute to Health-Related Quality of Life after COVID-19 Pneumonia, a Follow-Up Study of More than 2 Years

A follow-up study was designed to assess correlations among physical signs, quality of sleep, common mental symptoms, and health-related quality of life after moderate to severe COVID-19 pneumonia. Daily changes in dyspnoea and pulse oximetry were recorded (200 days), and four evaluations (in >2 years) were performed on quality of sleep, mental symptoms, cognitive performance, and health-related quality of life. In a single center, 72 adults participated in the study (52.5 ± 13.7 years old), with no psychiatry/neurology/chronic lung/infectious diseases, chronic use of corticosteroids/immunosuppressive therapy, or pregnancy. Daily agendas showed delayed decreases in dyspnoea scores compared to pulse oximetry and heart rate recordings; however, changes in pulse oximetry were minimal. Slight changes in cognitive performance were related to the general characteristics of the participants (obesity and tobacco use) and with the severity of acute disease (MANCOVA, p < 0.001). Health-related quality of life gradually improved (MANCOVA, p < 0.004). During recovery, bad quality of sleep and mental symptoms (mainly attention/concentration) contributed to the subscores on health perception and vitality in the health-related quality of life assessment. Early mental support services including sleep hygiene could be beneficial during rehabilitation after acute COVID-19.

SARS-CoV-2 antibody levels and long COVID occurrence in blood donors

BACKGROUND

Long COVID is a common condition lacking consensus definition; determinants remain incompletely understood. Characterizing immune profiles associated with long COVID could support the development of preventive and therapeutic strategies.

METHODS

We used a survey to investigate blood donors' infection/vaccination history and acute/persistent symptoms following COVID-19. The prevalence of long COVID was evaluated using self-report and an adapted definition from the RECOVER study. We evaluated factors associated with long COVID, focusing on anti-spike and anti-nucleocapsid SARS-CoV-2 antibodies. Lastly, we investigated long COVID clinical subphenotypes using hierarchical clustering.

RESULTS

Of 33,610 participants, 16,003 (48%) reported having had COVID-19; 1853 (12%) had self-reported long COVID, 685 (4%) met an adapted RECOVER definition, and 2050 (13%) met at least one definition. Higher anti-nucleocapsid levels measured 12-24 weeks post-infection were associated with higher risk of self-reported and RECOVER long COVID. Higher anti-spike IgG levels measured 12-24 weeks post-infection were associated with lower risk of self-reported long COVID. Higher total anti-spike measured 24-48 weeks post-infection was associated with lower risk of RECOVER long COVID. Cluster analysis identified four clinical subphenotypes; patterns included neurological and psychiatric for cluster 1; neurological and respiratory for cluster 2; multi-systemic for cluster 3; and neurological for cluster 4.

DISCUSSION

Long COVID prevalence in blood donors varies depending on the adopted definition. Anti-SARS-CoV-2 antibodies were time-dependently associated with long COVID; higher anti-nucleocapsid levels were associated with higher risk; and higher anti-spike levels were associated with lower risk of long COVID. Different underlying pathophysiologic mechanisms may be associated with distinct clinical subphenotypes.

Autoantibodies in COVID-19 survivors with post-COVID symptoms: a systematic review

Objective

The long-lasting persistence of autoantibodies stands as one of the hypotheses explaining the multisystemic manifestations seen in individuals with post-COVID-19 condition. The current review offers restricted insights into the persistence of autoantibodies in plasma/serum in people with post-COVID symptoms.

Methods

PubMed/MEDLINE, CINAHL, EMBASE, and Web of Science databases, as well as on medRxiv and bioRxiv preprint servers were searched up to January 5th, 2024. Papers investigating the presence of autoantibodies in plasma/serum samples in people with post-COVID symptoms were included. The Newcastle-Ottawa Scale (NOS) was used to assess methodological quality.

Results

From 162 identified records, five articles met all inclusion criteria; four studies included infected controls with no post-COVID symptoms whereas all five studies included non-infected controls (410 COVID-19 survivors with post-COVID symptoms, 223 COVID-19 survivors with no post-COVID symptoms as controls and 266 non-infected healthy controls). Four studies concluded that the presence of autoantibodies had a potential (but small) role in post-COVID-19 condition whereas one study concluded that autoantibodies were not associated. Quality assessment showed all studies had high methodological quality.

Conclusion

Although evidence suggests that persistent autoantibodies can be associated with post-COVID symptoms, the clinical relevance of their presence seems modest at this stage. Current results highlight further research to clarify the role of autoantibodies in the development of post-COVID symptoms, guiding the development of tailored diagnostic and treatment approaches to enhance patient outcomes.

Systematic review registration

https://osf.io/vqz28.

A Case Report of Long COVID or Post-COVID-19 Symptoms and Characteristics

The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global health crisis. Long COVID refers to a debilitating condition characterized by severe symptoms that may arise after the initial acute phase of COVID-19. Significant attention has been directed toward the acute phase of the respiratory system while overshadowing the understanding and management of long-term complications, often referred to as "long COVID." This case focuses on a 19-year-old female who experienced the multisystemic manifestation of COVID-19 syndrome several months after the initial infection, spanning cardiovascular, respiratory, endocrine, central nervous system, and multi-skeletal domains. This study aims to describe the patient's experience and recovery process with a specific emphasis on the long COVID experience.

Unveiling long COVID symptomatology, co-occurrence trends, and symptom distress post SARS-CoV-2 infection

BACKGROUND

Long COVID, an emerging public health issue, is characterized by persistent symptoms following SARS-CoV-2 infection. This study aims to explore the relationship between post-COVID-19 symptomatology and patient distress employing Latent Class Analysis to uncover symptom co-occurrence patterns and their association with distress.

METHODS

A cross-sectional study was conducted using an online survey among 240 participants from a university and affiliated hospital of southern Taiwan. The survey quantified distress due to persistent symptoms and assessed the prevalence of Long COVID, symptom co-occurrence, and latent symptom classes. Latent Class Analysis (LCA) identified distinct symptom patterns, and multiple regression models evaluated associations between symptom patterns, distress, and demographic factors.

RESULTS

The study found that 80 % of participants experienced Long COVID, with symptoms persisting for over three months. Individuals with multiple COVID-19 infections showed a significant increase in general (β = 1.79), cardiovascular (β = 0.61), and neuropsychological symptoms (β = 2.18), and higher total distress scores (β = 6.35). Three distinct symptomatology classes were identified: "Diverse", "Mild", and "Severe" symptomatology. The "Mild Symptomatology" class was associated with lower distress (-10.61), while the "Severe Symptomatology" class showed a significantly higher distress due to symptoms (13.32).

CONCLUSION

The study highlights the significant impact of Long COVID on individuals, with distinct patterns of symptomatology and associated distress. It emphasizes the cumulative effect of multiple COVID-19 infections on symptom severity and the importance of tailored care strategies.

Effectiveness of pulmonary rehabilitation programmes and/or respiratory muscle training in patients with post-COVID conditions: a systematic review

BACKGROUND

The term "post-COVID-19 condition" refers to the symptomatology that appears between four to twelve weeks after Covid-19 infection. These symptoms can persist for weeks or even months, significantly diminishing the quality of life for affected individuals. The primary objective of this study was to assess the effectiveness of pulmonary rehabilitation programs and/or respiratory muscle training on respiratory sequelae in patients with post-COVID condition.

METHODS

The literature search was conducted in the following databases: PubMed, PEDro, Embase, Cochrane, Scopus, and Web of Science. Randomized clinical trials were included in which participants were aged 18 years or older. Articles were excluded if at least one of the therapies did not involve pulmonary rehabilitation or respiratory muscle training, if the participants were COVID positive, if studies lacked results, and finally, if interventions were conducted without supervision or at home. This review only encompasses supervised non-virtual interventions. This study adheres to the PRISMA statement and has been registered in the PROSPERO database (CRD42023433843).

RESULTS

The outcomes obtained in the included studies are assessed across the following variables: Exercise capacity using the 6-minute walk test, Dyspnea, fatigue, Pulmonary function, Maximum inspiratory pressure, and Quality of life.

CONCLUSION

Despite the absence of a specific treatment at present, it was evident from this review that a well-structured pulmonary rehabilitation program that incorporates both aerobic and muscular strength exercises along with techniques and inspiratory muscle exercises was the most effective form of treatment.

Exploring the Pathophysiology of Long COVID: The Central Role of Low-Grade Inflammation and Multisystem Involvement

Long COVID (LC), also referred to as Post COVID-19 Condition, Post-Acute Sequelae of SARS-CoV-2 Infection (PASC), and other terms, represents a complex multisystem disease persisting after the acute phase of COVID-19. Characterized by a myriad of symptoms across different organ systems, LC presents significant diagnostic and management challenges. Central to the disorder is the role of low-grade inflammation, a non-classical inflammatory response that contributes to the chronicity and diversity of symptoms observed. This review explores the pathophysiological underpinnings of LC, emphasizing the importance of low-grade inflammation as a core component. By delineating the pathogenetic relationships and clinical manifestations of LC, this article highlights the necessity for an integrated approach that employs both personalized medicine and standardized protocols aimed at mitigating long-term consequences. The insights gained not only enhance our understanding of LC but also inform the development of therapeutic strategies that could be applicable to other chronic conditions with similar pathophysiological features.

Health-Related Quality of Life for Patients with Post-Acute COVID-19 Syndrome: Identification of Symptom Clusters and Predictors of Long-Term Outcomes

BACKGROUND

Following COVID-19 infection, as many as a third of patients have long-term symptoms, known as post-acute sequelae (PASC). The mechanisms contributing to PASC remain largely unknown and, due to the heterogeneity of symptoms, treating PASC provides unique challenges.

OBJECTIVE

Our study sought to (1) identify clinical symptom profiles based on PROMIS Global Health (GH) items, (2) evaluate demographic and clinical differences across profiles, and (3) identify predictors of change in health-related quality of life (HRQL) over time.

DESIGN

This was an observational cohort study of patients with PASC who completed PROMIS-GH between 2/11/21 and 12/3/21 as part of routine care, with data extracted from the electronic health record.

PARTICIPANTS

There were 1407 adult patients (mean age 49.6 ± 13.7, 73% female, 81% White race) with PASC seen in the recovery clinic between 2/11/21 and 12/3/21, with 1129 (80.2%) completing PROMIS-GH as routine care.

MAIN MEASURES

HRQL was measured with PROMIS-GH at initial visit and after 12 months.

KEY RESULTS

Latent profile analysis identified symptom classes based on five PROMIS-GH items (mental health, ability to carry out physical activities, pain, fatigue, and emotional problems). Four latent profiles were identified: (1) "Poor HRQL" (n = 346), (2) "Mixed HRQL: good mental/poor physical" (n = 232), (3) "Mixed HRQL: poor mental/good physical" (n = 324), and (4) "Good HRQL" (n = 227). Demographics and comorbidities varied significantly across profile with patients with more severe COVID-19 infection more likely to be in profiles 1 and 2. Overall, patients improved 2 T-score points on PROMIS-GH after 12 months, with differences by profile. Predictors of improved HRQL included profile, lower body mass index, and fewer COVID symptoms.

CONCLUSIONS

Patients with PASC have distinct HRQL symptom profiles which were able to differentiate across COVID-19 severity and symptoms. Improvement over 12 months differed by profile. These profiles may be used to better understand the mechanisms behind PASC. Future research should evaluate their ability to guide treatment decisions to improve HRQL.

Current landscape of long COVID clinical trials

Long COVID was reported as a multi-systemic condition after the infection of SARS-CoV-2, and more than 65 million people are suffering from this disease. It has been noted that around 10% of severe SARS-CoV-2 infected individuals are suffering from the enduring effects of long COVID. The symptoms of long COVID have also been noted in several mild or asymptomatic SARS-CoV-2 infected individuals. While limited reports on clinical trials investigating new therapeutics for long COVID exist, there is an abundance of scattered information available regarding these trials. This review explores the extensive literature search, and complete clinical trial database search to map the current status of long COVID clinical trials worldwide. The study listed about 110 long COVID clinical trials. In addition to conducting extensive long COVID clinical trials, we have comprehensively presented an overview of the condition, its symptoms, notable manifestations, associated clinical trials, the unique challenges it poses, and our recommendations for addressing long COVID.

Clinical and serological predictors of post COVID-19 condition-findings from a Canadian prospective cohort study

Introduction

More than 3 years into the pandemic, there is persisting uncertainty as to the etiology, biomarkers, and risk factors of Post COVID-19 Condition (PCC). Serological research data remain a largely untapped resource. Few studies have investigated the potential relationships between post-acute serology and PCC, while accounting for clinical covariates.

Methods

We compared clinical and serological predictors among COVID-19 survivors with (n = 102 cases) and without (n = 122 controls) persistent symptoms ≥12 weeks post-infection. We selected four primary serological predictors (anti-nucleocapsid (N), anti-Spike, and anti-receptor binding domain (RBD) IgG titres, and neutralization efficiency), and specified clinical covariates a priori.

Results

Similar proportions of PCC-cases (66.7%, n = 68) and infected-controls (71.3%, n = 87) tested positive for anti-N IgG. More cases tested positive for anti-Spike (94.1%, n = 96) and anti-RBD (95.1%, n = 97) IgG, as compared with controls (anti-Spike: 89.3%, n = 109; anti-RBD: 84.4%, n = 103). Similar trends were observed among unvaccinated participants. Effects of IgG titres on PCC status were non-significant in univariate and multivariate analyses. Adjusting for age and sex, PCC-cases were more likely to be efficient neutralizers (OR 2.2, 95% CI 1.11-4.49), and odds was further increased among cases to report deterioration in quality of life (OR 3.4, 95% CI 1.64-7.31). Clinical covariates found to be significantly related to PCC included obesity (OR 2.3, p = 0.02), number of months post COVID-19 (OR 1.1, p < 0.01), allergies (OR 1.8, p = 0.04), and need for medical support (OR 4.1, p < 0.01).

Conclusion

Despite past COVID-19 infection, approximately one third of PCC-cases and infected-controls were seronegative for anti-N IgG. Findings suggest higher neutralization efficiency among cases as compared with controls, and that this relationship is stronger among cases with more severe PCC. Cases also required more medical support for COVID-19 symptoms, and described complex, ongoing health sequelae. More data from larger cohorts are needed to substantiate results, permit subgroup analyses of IgG titres, and explore for differences between clusters of PCC symptoms. Future assessment of IgG subtypes may also elucidate new findings.

Long COVID in Children, Adults, and Vulnerable Populations: A Comprehensive Overview for an Integrated Approach

Long COVID affects both children and adults, including subjects who experienced severe, mild, or even asymptomatic SARS-CoV-2 infection. We have provided a comprehensive overview of the incidence, clinical characteristics, risk factors, and outcomes of persistent COVID-19 symptoms in both children and adults, encompassing vulnerable populations, such as pregnant women and oncological patients. Our objective is to emphasize the critical significance of adopting an integrated approach for the early detection and appropriate management of long COVID. The incidence and severity of long COVID symptoms can have a significant impact on the quality of life of patients and the course of disease in the case of pre-existing pathologies. Particularly, in fragile and vulnerable patients, the presence of PASC is related to significantly worse survival, independent from pre-existing vulnerabilities and treatment. It is important try to achieve an early recognition and management. Various mechanisms are implicated, resulting in a wide range of clinical presentations. Understanding the specific mechanisms and risk factors involved in long COVID is crucial for tailoring effective interventions and support strategies. Management approaches involve comprehensive biopsychosocial assessments and treatment of symptoms and comorbidities, such as autonomic dysfunction, as well as multidisciplinary rehabilitation. The overall course of long COVID is one of gradual improvement, with recovery observed in the majority, though not all, of patients. As the research on long-COVID continues to evolve, ongoing studies are likely to shed more light on the intricate relationship between chronic diseases, such as oncological status, cardiovascular diseases, psychiatric disorders, and the persistent effects of SARS-CoV-2 infection. This information could guide healthcare providers, researchers, and policymakers in developing targeted interventions.

Investigation into the restoration of TRPM3 ion channel activity in post-COVID-19 condition: a potential pharmacotherapeutic target

Introduction

Recently, we reported that post COVID-19 condition patients also have Transient Receptor Potential Melastatin 3 (TRPM3) ion channel dysfunction, a potential biomarker reported in natural killer (NK) cells from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) patients. As there is no universal treatment for post COVID-19 condition, knowledge of ME/CFS may provide advances to investigate therapeutic targets. Naltrexone hydrochloride (NTX) has been demonstrated to be beneficial as a pharmacological intervention for ME/CFS patients and experimental investigations have shown NTX restored TRPM3 function in NK cells. This research aimed to: i) validate impaired TRPM3 ion channel function in post COVID-19 condition patients compared with ME/CFS; and ii) investigate NTX effects on TRPM3 ion channel activity in post COVID-19 condition patients.

Methods

Whole-cell patch-clamp was performed to characterize TRPM3 ion channel activity in freshly isolated NK cells of post COVID-19 condition (N = 9; 40.56 ± 11.26 years), ME/CFS (N = 9; 39.33 ± 9.80 years) and healthy controls (HC) (N = 9; 45.22 ± 9.67 years). NTX effects were assessed on post COVID-19 condition (N = 9; 40.56 ± 11.26 years) and HC (N = 7; 45.43 ± 10.50 years) where NK cells were incubated for 24 hours in two protocols: treated with 200 µM NTX, or non-treated; TRPM3 channel function was assessed with patch-clamp protocol.

Results

This investigation confirmed impaired TRPM3 ion channel function in NK cells from post COVID-19 condition and ME/CFS patients. Importantly, PregS-induced TRPM3 currents were significantly restored in NTX-treated NK cells from post COVID-19 condition compared with HC. Furthermore, the sensitivity of NK cells to ononetin was not significantly different between post COVID-19 condition and HC after treatment with NTX.

Discussion

Our findings provide further evidence identifying similarities of TRPM3 ion channel dysfunction between ME/CFS and post COVID-19 condition patients. This study also reports, for the first time, TRPM3 ion channel activity was restored in NK cells isolated from post COVID-19 condition patients after in vitro treatment with NTX. The TRPM3 restoration consequently may re-establish TRPM3-dependent calcium (Ca2+) influx. This investigation proposes NTX as a potential therapeutic intervention and TRPM3 as a treatment biomarker for post COVID-19 condition.

[Exercise prescription in post-COVID syndrome: A challenge for primary healthcare]

After the SARS-CoV-2 pandemic we face a new global epidemic: the Post-COVID Syndrome. This novel condition has fluctuating progression and a wide range of symptoms, such as fatigue, headaches, muscle pain or breathlessness. Although its pathophysiology is not clear, a multiorganic affection is suspected, altering the immune, cardiorespitatory and nervous systems. Whereas there is no consensus over its treatment, most of the researches conclude the effectiveness of therapeutic exercise and a multicomponent rehabilitation, coordinating and cooperating between different health professionals. A functional, respiratory and strength evaluation prior to treatment prescription is highly recommended, since it will help professionals to precisely prescribe and objectively measure the evolution of our patients. In this article we suggest a few tests, adequate to primary health requirements, to evaluate our patients' initial condition, as well as the most secure way to initiate a therapeutic exercise programme, together with other healthcare providers.

Social Networks as a Key Health Determinant in Acute Illness Recovery: A Lesson from the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic highlighted the importance of considering social determinants of health in health outcomes. Within this spectrum of determinants, social networks garnered attention as the pandemic highlighted the negative effects of social isolation in the context of social distancing measures. Postpandemic, examining the role social networks play in COVID-19 recovery can help guide patient care and shape future health policies. This study aimed to investigate the relationship between social networks and self-rated health change, as well as physical function, in patients recovering from COVID-19 pneumonia.

METHODS

This was a retrospective cohort study utilizing clinical data from 2 New York City hospitals and a 9-month follow-up survey of COVID-19 pneumonia survivors. We evaluated a composite Social Network Score from the 6-item Lubben Social Network Scale and its association with 2 outcomes: 1) self-rated health change and 2) physical function.

RESULTS

A total of 208 patients were included in this study. A 1-point increase in the Social Network Score was associated with greater odds of both same or improved self-rated health change (odds ratio [OR] 1.07, 95% CI 1.02-1.12, P = .01), as well as unimpaired physical function (OR 1.08, 95% CI 1.03-1.14, P < .01).

CONCLUSION

This study emphasized the importance of social networks as a social determinant of health among patients recovering from COVID-19 hospitalization. Targeted interventions to enhance social networks may benefit not only COVID-19 patients but also individuals recovering from other acute illnesses.

[Clinical and morphological features of lung injury long-term after SARS-CoV-2 recovery]

AIM

To study the clinical and histological profile of lung tissue in patients with persistent pulmonary disease, respiratory symptoms and CT findings after SARS-CoV-2 infection.

MATERIALS AND METHODS

The study included 15 patients (7 females and 8 males) with a mean age of 57.7 years. All patients underwent laboratory tests, chest computed tomography, echocardiography, and pulmonary function tests. Pulmonary tissue and bronchoalveolar lavage samples were obtained by fibrobronchoscopy, transbronchial forceps (2 patients), and lung cryobiopsy (11 patients); open biopsy was performed in 2 patients. Cellular composition, herpesvirus DNA, SARS-CoV-2, Mycobacterium tuberculosis complex, galactomannan optical density index, and bacterial and fungal microflora growth were determined in bronchoalveolar lavage. SARS-CoV-2 was also identified in samples from the nasal mucosa, throat and feces using a polymerase chain reaction.

RESULTS

The results showed no true pulmonary fibrosis in patients recovered from SARS-CoV-2 infection with persistent respiratory symptoms, functional impairment, and CT findings after SARS-CoV-2 infection. The observed changes comply with the current and/or resolving infection and inflammatory process.

CONCLUSION

Thus, no true pulmonary fibrosis was found in patients after SARS-CoV-2 infection with persistent respiratory symptoms, functional impairment, and CT findings. The observed changes comply with the current and/or resolving infection and inflammatory process.

SARS-CoV-2 infection is associated with self-reported post-acute neuropsychological symptoms within six months of follow-up

BACKGROUND

Chronic neuropsychological sequelae following SARS-CoV-2 infection, including depression, anxiety, fatigue, and general cognitive difficulties, are a major public health concern. Given the potential impact of long-term neuropsychological impairment, it is important to characterize the frequency and predictors of this post-infection phenotype.

METHODS

The Epidemiology, Immunology, and Clinical Characteristics of Emerging Infectious Diseases with Pandemic Potential (EPICC) study is a longitudinal study assessing the impact of SARS-CoV-2 infection in U.S. Military Healthcare System (MHS) beneficiaries, i.e. those eligible for care in the MHS including active duty servicemembers, dependents, and retirees. Four broad areas of neuropsychological symptoms were assessed cross-sectionally among subjects 1-6 months post-infection/enrollment, including: depression (Patient Health Questionnaire-9), anxiety (General Anxiety Disorder-7), fatigue (PROMIS® Fatigue 7a), and cognitive function (PROMIS® Cognitive Function 8a and PROMIS® Cognitive Function abilities 8a). Multivariable Poisson regression models compared participants with and without SARS-CoV-2 infection history on these measures, adjusting for sex, ethnicity, active-duty status, age, and months post-first positive or enrollment of questionnaire completion (MPFP/E); models for fatigue and cognitive function were also adjusted for depression and anxiety scores.

RESULTS

The study population included 2383 participants who completed all five instruments within six MPFP/E, of whom 687 (28.8%) had at least one positive SARS-CoV-2 test. Compared to those who had never tested positive for SARS-CoV-2, the positive group was more likely to meet instrument-based criteria for depression (15.4% vs 10.3%, p<0.001), fatigue (20.1% vs 8.0%, p<0.001), impaired cognitive function (15.7% vs 8.6%, p<0.001), and impaired cognitive function abilities (24.3% vs 16.3%, p<0.001). In multivariable models, SARS-CoV-2 positive participants, assessed at an average of 2.7 months after infection, had increased risk of moderate to severe depression (RR: 1.44, 95% CI 1.12-1.84), fatigue (RR: 2.07, 95% CI 1.62-2.65), impaired cognitive function (RR: 1.64, 95% CI 1.27-2.11), and impaired cognitive function abilities (RR: 1.41, 95% CI 1.15-1.71); MPFP/E was not significant.

CONCLUSIONS

Participants with a history of SARS-CoV-2 infection were up to twice as likely to report cognitive impairment and fatigue as the group without prior SARS-CoV-2 infection. These findings underscore the continued importance of preventing SARS-CoV-2 infection and while time since infection/enrollment was not significant through 6 months of follow-up, this highlights the need for additional research into the long-term impacts of COVID-19 to mitigate and reverse these neuropsychological outcomes.

Understanding Patient-Reported Outcome Measures Used in Adult Survivors Experiencing Long-Term Effects After COVID-19 Infection: A Rapid Review

Purpose

Patient-reported outcome measures (PROMs) are used in individuals experiencing long-term effects from COVID-19 infection, or Long COVID, to evaluate the quality of life and functional status of these individuals. However, little is known about which PROMs are being utilised and the psychometric properties of these PROMs. Our purpose was thus to explore which PROMs are used in Long COVID patients and to discuss the psychometric properties of the PROMs.

Methods

For this rapid review, a systematic literature search was performed in the PubMed, Embase, and CINAHL databases. The found studies were screened using the PRISMA flowchart. We then performed study quality appraisal and assessed the psychometric properties of the found PROMs.

Results

Per the systematic literature search and after removal of duplicates, 157 publications were identified for individual screening. After screening and eligibility assessment, 74 articles were selected for our review. In total, 74 PROMs were used and primarily comprised quality of life, fatigue, breathlessness, mental health, and smell/taste issues in COVID "long haulers." Five studies used newly developed, COVID-19-specific PROMs. We assessed the psychometric properties of the 10 most-used PROMs. The majority were found to be reliable and valid instruments. EQ-5D-5L was the most popular and highly rated PROM.

Conclusions

We assessed PROMs used in Long COVID patients and evaluated their psychometric properties. EQ-5D-5L was the most favourably rated PROM. PROMs addressing mental health issues are crucial in managing anxiety and depression in Long COVID patients. New COVID-specific PROMs assess functional status and smell/taste perception and show great utilisation potential in olfactory training at COVID smell clinics. However, many reviewed PROMs currently lack sufficient analysis of their psychometric properties. Therefore, future research needs to examine these measures.

Symptoms and Impaired Quality of Life After COVID-19 Hospitalization: Effect of Therapeutic Heparin in Non-ICU Patients in the Accelerating COVID-19 Therapeutic Interventions and Vaccines 4 Acute Trial: Effect on 3-Month Symptoms and Quality of Life

BACKGROUND

Therapeutic-dose heparin decreased days requiring organ support in noncritically ill patients hospitalized for COVID-19, but its impact on persistent symptoms or quality of life (QOL) is unclear.

RESEARCH QUESTION

In the Accelerating COVID-19 Therapeutic Interventions and Vaccines 4 ACUTE (ACTIV-4a) trial, was randomization of patients hospitalized for COVID-19 illness to therapeutic-dose vs prophylactic heparin associated with fewer symptoms and better QOL at 90 days?

STUDY DESIGN AND METHODS

This was an open-label randomized controlled trial at 34 hospitals in the United States and Spain. A total of 727 noncritically ill patients hospitalized for COVID-19 from September 2020 to June 2021 were randomized to therapeutic-dose vs prophylactic heparin. Only patients with 90-day data on symptoms and QOL were analyzed. We ascertained symptoms and QOL by the EQ-5D-5L at 90-day follow-up in a preplanned analysis for the ACTIV-4a trial. Individual domains assessed by the EQ-5D-5L included mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Univariate and multivariate analyses were performed.

RESULTS

Among 571 patients, 288 (50.4%) reported at least one symptom. Among 410 patients, 148 (36.1%) reported moderate to severe impairment in one or more domains of the EQ-5D-5L. The presence of 90-day symptoms was associated with moderate-severe impairment in the EQ-5D-5L domains of mobility (adjusted OR [aOR], 2.37; 95% CI, 1.22-4.59), usual activities (aOR, 3.66; 95% CI, 1.75-7.65), pain (aOR, 2.43; 95% CI, 1.43-4.12), and anxiety (aOR, 4.32; 95% CI, 2.06-9.02), compared with patients reporting no symptoms There were no differences in symptoms or in the overall EQ-5D-5L index score between treatment groups. Therapeutic-dose heparin was associated with less moderate-severe impairment in all physical functioning domains (mobility, self-care, usual activities) but was independently significant only in the self-care domain (aOR, 0.32; 95% CI, 0.11-0.96).

INTERPRETATION

In a randomized controlled trial of hospitalized noncritically ill patients with COVID-19, therapeutic-dose heparin was associated with less severe impairment in the self-care domain of EQ-5D-5L. However, this type of impairment was uncommon, affecting 23 individuals.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov; No.: NCT04505774; URL: www.

CLINICALTRIALS

gov.

Serological markers and long COVID-A rapid systematic review

BACKGROUND

Long COVID is highly heterogeneous, often debilitating, and may last for years after infection. The aetiology of long COVID remains uncertain. Examination of potential serological markers of long COVID, accounting for clinical covariates, may yield emergent pathophysiological insights.

METHODS

In adherence to PRISMA guidelines, we carried out a rapid review of the literature. We searched Medline and Embase for primary observational studies that compared IgG response in individuals who experienced COVID-19 symptoms persisting ≥12 weeks post-infection with those who did not. We examined relationships between serological markers and long COVID status and investigated sources of inter-study variability, such as severity of acute illness, long COVID symptoms assessed and target antigen(s).

RESULTS

Of 8018 unique records, we identified 29 as being eligible for inclusion in synthesis. Definitions of long COVID varied. In studies that reported anti-nucleocapsid (N) IgG (n = 10 studies; n = 989 participants in aggregate), full or partial anti-Spike IgG (i.e. the whole trimer, S1 or S2 subgroups, or receptor binding domain, n = 19 studies; n = 2606 participants), or neutralizing response (n = 7 studies; n = 1123 participants), we did not find strong evidence to support any difference in serological markers between groups with and without persisting symptoms. However, most studies did not account for severity or level of care required during acute illness, and other potential confounders.

CONCLUSIONS

Pooling of studies would enable more robust exploration of clinical and serological predictors among diverse populations. However, substantial inter-study variations hamper comparability. Standardized reporting practices would improve the quality, consistency and comprehension of study findings.

Long-COVID-19 Impact in non-hospitalized patients: Sleep and quality of life 24 months after SARS-CoV-2 infection

Background and Aims

Sleep disruption and reduced quality of life are common long coronavirus disease (COVID) manifestations, affecting survivors irrespective of initial COVID-19 severity. Limited research investigates symptoms beyond 24 months post-infection. We aimed to address this gap by longitudinally studying sleep patterns and overall quality of life in non-hospitalized adults, 24 months after severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection.

Methods

This prospective observational study involved the enrolment of 337 adult non-hospitalized patients in a consecutive fashion. Individuals with past COVID-19 (from 15 April 2020 to 30 June 2021) were examined at two Government hospitals and completed a telephone interview between 1 May 2023 and 30 June 2023, located in Jharkhand, India. Participants were queried about their sleep patterns and quality of life, utilizing the DSM5 LEVEL 2 and EQ-ED-5L tool, respectively.

Results

Among 337 non-hospitalized participants, 212 completed the survey. Within this group (59.4% men, mean age 38), 36 (17.0%) experienced sleep impairment. All five dimensions of quality of life (QoL) were adversely affected in long COVID patients. Advanced age, high income, residing in rural or semi-urban areas, and having comorbidities were associated with a higher likelihood of decreased quality of life across various domains. Conversely, participants who were married, employed in healthcare or government positions, and vaccinated exhibited a reduced likelihood of experiencing lower quality of life.

Conclusion

Long COVID-19 affects sleep and quality of life, with various demographic and clinical factors influencing outcomes. This study provides insights into the extended consequences of long COVID-19 and aids healthcare systems in addressing the challenges posed by this condition.

Fatigue in healthcare workers with mild COVID-19 survivors in Indonesia

Persistent symptoms after the coronavirus disease 2019 (COVID-19, known as post-COVID syndrome (PCS), presented an ongoing health burden among COVID-19 survivors, including health workers. The existence of fatigue in mild COVID-19 survivors has not been widely reported. The aim of this study was to present the symptoms of fatigue in healthcare workers who experienced mild COVID-19 and the factors associated with fatigue. A cross-sectional study was conducted at H. Adam Malik General Hospital in Medan, Indonesia, from September to December 2022, included doctors, nurses, ancillary workers, and medical support workers who experienced mild COVID-19. Fatigue was measured by a fatigue assessment scale (FAS). The assessed possible risk factors were gender, age, vaccination history, comorbid, presence of PCS, duration of PCS symptoms, and number of PCS symptoms. The Chi-squared or Fisher's exact tests were used to assess the association between the incidence of fatigue and risk factors. A total of 100 healthcare workers of mild COVID-19 survivors were included. Most of them were nurses (58%), women (81%), and aged 19-30 years old (36%). The majority had incomplete vaccination history (64%), experienced PCS (71%), no comorbidities (61%), and experienced <3 months of PCS symptoms (55%). Mild to moderate fatigue was found in 23% of healthcare workers and only 1% experienced severe fatigue. No significant association was found between gender, vaccination history, and comorbidities with the incidence of fatigue. However, a significant association was observed between age (p=0.021), the presence of PCS (p=0.041), and the number of PCS symptoms (p=0.047) with fatigue incidence. Furthermore, there were significant associations between symptoms of PCS (confusion (p=0.004), insomnia (p=0.001), myalgia (p=0.035), arthralgia (p=0.028), throat pain (p=0.042), headache (p=0.042), and chest pain (p=0.011)) with fatigue. These findings can contribute to providing the necessary support for mild COVID-19 survivors and persistent fatigue.

Patients' evaluation of aftercare following hospitalization for COVID-19: satisfaction and unmet needs

BACKGROUND

Patient experiences with COVID-19 aftercare remain largely unknown. We evaluated COVID-19 aftercare from a patient perspective one year after hospitalization, assessing satisfaction and its associated factors, and unmet needs.

METHODS

The Satisfaction with COVID-19 Aftercare Questionnaire (SCAQ) was developed as part of a multicenter prospective cohort study and administered one year after hospital discharge. The SCAQ assesses (1) patient satisfaction, comprising information provision, rehabilitation, follow-up by hospitals and general practitioners (GPs), the most important aftercare topics, and overall satisfaction, and (2) unmet needs.

RESULTS

487/561 (87%) COVID-19 patients completed the SCAQ, all had been discharged from the hospital between March 2020 and May 2021. Among responders, the median age of patients was 60 (IQR 54-67) years, 338 (69%) were male, and the median length of stay in the hospital was 13 (6-27) days. Patients were least satisfied with information on who could be contacted with questions when health problems arise (59% satisfied or very satisfied). Many patients (75%) received rehabilitation, most frequently community-based (70%). Across the different community-based therapies, ≥ 60% of patients were satisfied with shared-decision making and ≥ 70% with the received therapy; a majority (≥ 79%) indicated a preference for receiving the same therapy again if needed. Regarding follow-up by hospitals, 86% of patients received this follow-up, most frequently visiting a pulmonologist (96%), being generally satisfied with the received aftercare. Aftercare from GPs was received by 39% of patients, with 88% being satisfied with the GP's availability and 79% with referral to appropriate aftercare providers. Patients (> 50%) considered information-related items most important in aftercare. Overall, patients rated their satisfaction with aftercare 8/10 (7-9) points. Those who received medical rehabilitation (versus no rehabilitation, adjusted beta 0.61 [95%CI 0.11 to 1.11], p = 0.02) or aftercare by a hospital medical specialist (1.1 [0.46 to 1.64], p < 0.001) or GP (0.39 [0.053 to 0.72], p = 0.023) reported significantly higher satisfaction than those without such aftercare. Unmet needs were reported by 35% of patients, with lack of information (20%) and lack of additional aftercare and/or involvement of their GP (19%) being the most frequently reported.

CONCLUSION

Despite the forced quick development of COVID-19 aftercare, patients were generally satisfied. Follow-up by healthcare professionals and information provision is important to meet patients' aftercare needs.

Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds

Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19, lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest disorders medical professionals may be thrown off by the overlapping symptoms (such as fever, cough, sore throat, etc.). Additionally, researchers and medical professionals make use of chest X-rays (CXR), cough sounds, and computed tomography (CT) scans to diagnose chest disorders. The present study aims to classify the nine different conditions of chest disorders, including COVID-19, LC, COL, atelectasis (ATE), tuberculosis (TB), pneumothorax (PNEUTH), edema (EDE), pneumonia (PNEU). Thus, we suggested four novel convolutional neural network (CNN) models that train distinct image-level representations for nine different chest disease classifications by extracting features from images. Furthermore, the proposed CNN employed several new approaches such as a max-pooling layer, batch normalization layers (BANL), dropout, rank-based average pooling (RBAP), and multiple-way data generation (MWDG). The scalogram method is utilized to transform the sounds of coughing into a visual representation. Before beginning to train the model that has been developed, the SMOTE approach is used to calibrate the CXR and CT scans as well as the cough sound images (CSI) of nine different chest disorders. The CXR, CT scan, and CSI used for training and evaluating the proposed model come from 24 publicly available benchmark chest illness datasets. The classification performance of the proposed model is compared with that of seven baseline models, namely Vgg-19, ResNet-101, ResNet-50, DenseNet-121, EfficientNetB0, DenseNet-201, and Inception-V3, in addition to state-of-the-art (SOTA) classifiers. The effectiveness of the proposed model is further demonstrated by the results of the ablation experiments. The proposed model was successful in achieving an accuracy of 99.01%, making it superior to both the baseline models and the SOTA classifiers. As a result, the proposed approach is capable of offering significant support to radiologists and other medical professionals.

Prevalence and trajectories of neuropsychological post-COVID-19 symptoms in initially hospitalized patients

OBJECTIVE

To investigate the prevalence and trajectories of post-COVID-19 neuropsychological symptoms.

DESIGN

Prospective longitudinal multicentre cohort study.

SUBJECTS

A total of 205 patients initially hospitalized with SARS-CoV-2 (COVID-19).

METHODS

Validated questionnaires were administered at 9 months (T1) and 15 months (T2) post-hospital discharge to assess fatigue, cognitive complaints, insomnia, anxiety, depression, and post-traumatic stress symptoms.

RESULTS

Analyses included 184 out of 205 patients. Approximately 50% experienced high cognitive complaints at T1 and T2, while severe fatigue affected 52.5% at T1 and 55.6% at T2. Clinically relevant insomnia scores were observed in 25% of patients at both time-points. Clinically relevant anxiety scores were present in 18.3% at T1 and 16.7% at T2, depression in 15.0% at T1 and 18.9% at T2, and PTSD in 12.4% at T1 and 11.8% at T2. Most symptoms remained stable, with 59.2% of patients experiencing at least 1 persistent symptom. In addition, 31.5% of patients developed delayed-onset symptoms.

CONCLUSION

Post-COVID-19 cognitive complaints and fatigue are highly prevalent and often persist. A subgroup develops delayed symptoms. Emotional distress is limited. Screening can help identify most patients experiencing long-term problems. Future research should determine risk factors for persistent and delayed onset symptoms.

Long-term effect of non-severe COVID-19 on pulmonary function, exercise capacities and physical activities: a cross-section study in Sakaka Aljouf

Background

COVID-19 has serious consequences on different body systems particularly the respiratory system with its impact on pulmonary function, exercise capacities, and physical activities. This study aimed to investigate the long-term effect of COVID-19 on pulmonary function, exercise capacities, and physical activities in patients with non-severe COVID-19.

Methods

160 individuals were selected to participate in a cross-section study. Group-I: 80 male and female patients with non-severe COVID-19 at least 3 months after the recovery time. Group-II: 80 male and female matched (non-infected with COVID-19) participants. The spirometer, six-minute walk test (6MWT), and International Physical Activity Questionnaire (IPAQ) were used to assess pulmonary function, exercise capacities, and physical activities respectively. The Kolmogorov-Smirnov test was used to test normality of data. The Mann-Whitney and independent t-tests were used to compare the significant differences between both groups.

Results

The results show significant differences in FVC & FEV 1 of the pulmonary function, exercise capacities, and physical activities of the work & transportations between both COVID-19 and matched groups p-value = (0.001 & 0.001, 0.001 and 0.005 & 0.012) respectively.

Conclusion

Pulmonary function, exercise capacities, and physical activities are negatively influenced by COVID-19 as long-term consequences indicating the need for extended health care, and prescription of proper rehabilitative training programs for non- severe COVID-19 patients whatever their severity degree of infection or history of hospitalization. Outcome reflections of the current results raise awareness of physical therapists to the importance of the proper rehabilitative training programs for non-severe COVID-19 patients.

The knowns and unknowns of long COVID-19: from mechanisms to therapeutical approaches

The coronavirus disease 2019 (COVID-19) pandemic caused by SARS-CoV-2 has been defined as the greatest global health and socioeconomic crisis of modern times. While most people recover after being infected with the virus, a significant proportion of them continue to experience health issues weeks, months and even years after acute infection with SARS-CoV-2. This persistence of clinical symptoms in infected individuals for at least three months after the onset of the disease or the emergence of new symptoms lasting more than two months, without any other explanation and alternative diagnosis have been named long COVID, long-haul COVID, post-COVID-19 conditions, chronic COVID, or post-acute sequelae of SARS-CoV-2 (PASC). Long COVID has been characterized as a constellation of symptoms and disorders that vary widely in their manifestations. Further, the mechanisms underlying long COVID are not fully understood, which hamper efficient treatment options. This review describes predictors and the most common symptoms related to long COVID's effects on the central and peripheral nervous system and other organs and tissues. Furthermore, the transcriptional markers, molecular signaling pathways and risk factors for long COVID, such as sex, age, pre-existing condition, hospitalization during acute phase of COVID-19, vaccination, and lifestyle are presented. Finally, recommendations for patient rehabilitation and disease management, as well as alternative therapeutical approaches to long COVID sequelae are discussed. Understanding the complexity of this disease, its symptoms across multiple organ systems and overlapping pathologies and its possible mechanisms are paramount in developing diagnostic tools and treatments.

[Interaction of somatic findings and psychiatric symptoms in COVID-19. A scoping review]

An infection with SARS-CoV‑2 can affect the central nervous system, leading to neurological as well as psychiatric symptoms. In this respect, mechanisms of inflammation seem to be of much greater importance than the virus itself. This paper deals with the possible contributions of organic changes to psychiatric symptomatology and deals especially with delirium, cognitive symptoms, depression, anxiety, posttraumatic stress disorder and psychosis. Processes of neuroinflammation with infection of capillary endothelial cells and activation of microglia and astrocytes releasing high amounts of cytokines seem to be of key importance in all kinds of disturbances. They can lead to damage in grey and white matter, impairment of cerebral metabolism and loss of connectivity. Such neuroimmunological processes have been described as a organic basis for many psychiatric disorders, as affective disorders, psychoses and dementia. As the activation of the glia cells can persist for a long time after the offending agent has been cleared, this can contribute to long term sequalae of the infection.

[Long covid and disability]

Long covid is a health problem that will entail a high hidden cost attributable to the pandemic years after it because it affects the work capacity of many workers. Given the millions of covid-19 cases worldwide and current research showing that one in 7covid-19 patients remain symptomatic at 12 weeks, the number of long covid patients is likely to be substantial. Long covid is characterized by heterogeneous sequelae that often affect multiple systems, organs with an impact on the functioning and capacity of the worker. Workers with long covid symptoms can return to their occupation but this involves a complex individualized approach to the impact of symptoms on work, adjustments and modifications to the workplace. Patients with long covid typically report prolonged multisystem involvement and signicant disability. The psychological cost to the worker must also be addressed. A survey by the Community of Madrid (CCOO, SATSE, CSIF, AMYTS) in 2022 reveals that 24.5% of those affected by long covid were sick for more than 12 months; 30% of those affected by persistent covid need and adaption to their workplace. In Spain, more than 10million people infected with SARS-CoV-2 have been reported since the pandemic began, so it is estimated that there could be one million people with persistent covid. In 2021 alone there were more than 2.6 million sick leave due to covid-19 in Spain, the average duration of which was 10 days. One hundred million people around the world suffer from persistent covid, but few countries officially count them, nor do they help those affected with employment. In advanced countries, like the United States, long covid is treated as a disability,and the number of people with disabilities working or looking for work increased by 1.36 million, an increase of 23%, between January 2021 and January 2022. In the United Kingdom, some 200,000 people are not working or are not looking for work due to long-term health problems attributable to long covid, since the pandemic began.

Trajectories of mental health outcomes following COVID-19 infection: a prospective longitudinal study

BACKGROUND

The COVID-19 pandemic has triggered a global mental health crisis. Yet, we know little about the lasting effects of COVID-19 infection on mental health. This prospective longitudinal study aimed to investigate the trajectories of mental health changes in individuals infected with COVID-19 and to identify potential predictors that may influence these changes.

METHODS

A web-survey that targeted individuals that had been infected with COVID-19 was used at three time-points: T0 (baseline), T1 (six months), and T2 (twelve months). The survey included demographics, questions related to COVID-19 status, previous psychiatric diagnosis, post-COVID impairments, fatigue, and standardized measures of depression, anxiety, insomnia. Linear mixed models were used to examine changes in depression, anxiety, and insomnia over time and identify factors that impacted trajectories of mental health outcomes.

RESULTS

A total of 236 individuals completed assessments and was included in the longitudinal sample. The participants' age ranged between 19 and 81 years old (M = 48.71, SD = 10.74). The results revealed notable changes in mental health outcomes over time. The trajectory of depression showed significant improvement over time while the trends in anxiety and insomnia did not exhibit significant changes over time. Younger participants and individuals who experienced severe COVID-19 infection in the acute phase were identified as high-risk groups with worst mental ill-health. The main predictors of the changes in the mental health outcomes were fatigue and post-COVID impairments.

CONCLUSIONS

The findings of our study suggest that mental health outcomes following COVID-19 infection exhibit a dynamic pattern over time. The study provides valuable insights into the mental health trajectory following COVID-19 infection, emphasizing the need for ongoing assessment, support, and interventions tailored to the evolving mental health needs of this population.