The Impact of Long COVID on Cognitive Performance and Sleep Quality: An Analysis of the Rancagua Chilean Study (RACHIS).

Background Infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to prolonged symptoms post-recovery, commonly known as long-term coronavirus disease 2019 (COVID-19) or "long COVID." Neuropsychiatric consequences of long COVID include cognitive dysfunction and sleep disturbances, which significantly impair daily living. This study aimed to explore the impact of long COVID on cognitive performance and sleep quality in patients receiving outpatient care. Material and methods This study involved a random sample of 138 of 363 patients, corresponding to 38% of the cohort, who tested positive for SARS-CoV-2 via polymerase chain reaction (PCR) between May 2020 and April 2021. These unvaccinated, non-hospitalized individuals, predominantly exhibiting mild disease symptoms, were prospectively assessed 11 months post-positive PCR test. After informed consent, demographic data, memory, and concentration impairment levels were collected through interviews. Participants reporting cognitive symptoms underwent the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MOCA), and the Pittsburgh Sleep Quality Index. Statistical analyses were conducted, including Student's t-test, Chi-square, Fisher's test, Kruskal-Wallis test, and Pearson correlation coefficient, with a significance threshold set at p<0.05. Results Of the 138 participants, 76 (55.1%) were female and 62 (44.9%) were male. The mean age was 45.9 years (± 13.0), with an average educational attainment of 10.4 years (± 3.7). Roughly 50% of the patients reported significant memory and concentration issues (p<0.001). Thirty-three participants underwent detailed cognitive assessments, revealing a 2:1 female-to-male ratio and a significantly higher prevalence of depression in female participants. Cognitive deficits were diagnosed in five (15.2%) participants via the MMSE and in 26 (78.8%) via the MOCA test, with notable deficits in visuospatial/executive functions, language repeat, and deferred recall (p<0.001). A lower educational level was correlated with higher cognitive deficits (p=0.03). Conclusion The study findings reveal that cognitive impairments, as a consequence of COVID-19, can persist up to 11 months post-infection. The MOCA test proved more effective in diagnosing these deficits and requires adjustments based on educational background. Sleep parameters remained largely unaffected in this cohort, likely attributed to the mild nature of the initial symptoms and the outpatient management of the disease.

Symptom intensity of post-COVID and long COVID syndromes in patients entering rehabilitation treatment.

Introduction: The problem of post-COVID symptoms is still being analysed. Many of them may be related to other conditions, but the new appearance and greater intensity of some of them, e.g. fatigue, musculoskeletal pain, and neuropathic pain, seem to be related to a previous viral infection. Efforts are being made to determine in more detail the most characteristic symptoms of post-COVID syndrome. The conditions of rehabilitation after COVID-19 provide an opportunity for such observations. In rehabilitation centres and sanatoriums, it is possible to compare patients with post-COVID syndrome and other patients referred for rehabilitation, who constitute a natural control group. Such a comparison is the aim of the present work. Material and methods: The study included 59 post-COVID-19 patients and 57 sanatorium patients without COVID (non-COVID group) as a control group. The 31-element questionnaire ("Post-COVID syndrome symptoms assessment card") was part of the routine management of post-COVID patients referred for rehabilitation after symptomatic SARS-CoV-2 infection in Polish conditions. In the control group, the questionnaire was introduced as a part of a physical examination and an interview regarding the symptoms reported by the patient before standard rehabilitation. The questions were scored in the scale from 0 to a maximum of 10 points. Each patient gave informed consent to the use of the questionnaire for research purposes. Results: Symptoms of the highest intensity in the COVID-19 group were: feeling unwell after physical effort (avg. 6.25 points), chronic fatigue (avg. 5.97 points), dyspnoea on exertion (avg. 5.83 points), concentration disturbances (avg. 4.93), muscle pain (avg. 4.92), joint pain (avg. 4.86), memory disorders (avg. 4.81 points), sleep disorders (avg. 4.05 points), numbness of the limbs (avg. 3.73 points), tingling in the limbs (avg. 3.68 points).Symptoms of highest intensity in patients in the non-COVID-19 group: joint pain (avg. 4.61 points), tingling in the limbs (avg. 2.84 points), numbness of the limbs (avg. 2.79 points), muscle pain (avg. 2.11 points).There was no statistically significant difference between the group under examination and the control group in the following symptoms: fever, diarrhoea, abdominal pain, resting dyspnoea, olfactory disorders, joint pain, tingling in the limbs and numbness of the limbs. Conclusions: The results of this study show symptoms of the highest intensity with post-COVID syndromes. However, also symptoms that are a problem both in post-COVID and non-COVID patients, i.e. joint pain, tingling in and numbness of the limbs were identified. This confirms that the control non-COVID group consisted of patients referred for rehabilitation treatment mainly due to musculoskeletal problems and chronic pain.

Characteristics of long COVID in patients with autoimmune rheumatic diseases: a systematic review and meta-analysis.

Objectives: Numerous cases of long coronavirus disease (long COVID) have been reported in patients with autoimmune rheumatic diseases (ARDs). Despite the reviews on clinical manifestations of long COVID in the general population, systematic reviews on ARD patients are scarce. Herein, we conducted a systematic review and meta-analysis on the prevalence and characteristics of long COVID in ARD patients. Methods: We searched the literature in PubMed and Embase as of 27 December 2022. Cohort, cross-sectional and case-control studies relevant to long COVID in ARD patients were collected. Stratification based on the severity of COVID infection and subtypes of rheumatic diseases [systemic autoimmune rheumatic disease (SARD) vs non-autoimmune rheumatic disease (NARD)] was also undertaken. A random-effects model was used in the meta-analysis. Results: A total of 15 relevant studies were identified from the literature. The prevalence of long COVID was 56% (95% CI 34, 76) in 2995 patients. Hospitalized COVID patients had a higher proportion of long COVID than non-hospitalized patients. The prevalence of long COVID was similar between SARD and NARD patients. In terms of symptoms, fatigue, arthralgia and pain were commonly reported in long COVID patients with ARDs. Conclusion: The characteristics of long COVID in ARD patients are generally similar to those in the general population despite a higher prevalence and a higher proportion of arthralgia and pain.

Reinforcing the Evidence of Mitochondrial Dysfunction in Long COVID Patients Using a Multiplatform Mass Spectrometry-Based Metabolomics Approach.

Despite the recent and increasing knowledge surrounding COVID-19 infection, the underlying mechanisms of the persistence of symptoms for a long time after the acute infection are still not completely understood. Here, a multiplatform mass spectrometry-based approach was used for metabolomic and lipidomic profiling of human plasma samples from Long COVID patients (n = 40) to reveal mitochondrial dysfunction when compared with individuals fully recovered from acute mild COVID-19 (n = 40). Untargeted metabolomic analysis using CE-ESI(+/-)-TOF-MS and GC-Q-MS was performed. Additionally, a lipidomic analysis using LC-ESI(+/-)-QTOF-MS based on an in-house library revealed 447 lipid species identified with a high confidence annotation level. The integration of complementary analytical platforms has allowed a comprehensive metabolic and lipidomic characterization of plasma alterations in Long COVID disease that found 46 relevant metabolites which allowed to discriminate between Long COVID and fully recovered patients. We report specific metabolites altered in Long COVID, mainly related to a decrease in the amino acid metabolism and ceramide plasma levels and an increase in the tricarboxylic acid (TCA) cycle, reinforcing the evidence of an impaired mitochondrial function. The most relevant alterations shown in this study will help to better understand the insights of Long COVID syndrome by providing a deeper knowledge of the metabolomic basis of the pathology.

Brain and cognitive changes in patients with long COVID compared with infection-recovered control subjects.

Between 2.5 and 28% of people infected with SARS-CoV-2 suffer Long COVID or persistence of symptoms for months after acute illness. Many symptoms are neurological, but the brain changes underlying the neuropsychological impairments remain unclear. This study aimed to provide a detailed description of the cognitive profile, the pattern of brain alterations in Long COVID and the potential association between them. To address these objectives, 83 patients with persistent neurological symptoms after COVID-19 were recruited, and 22 now healthy controls chosen because they had suffered COVID-19 but did not experience persistent neurological symptoms. Patients and controls were matched for age, sex and educational level. All participants were assessed by clinical interview, comprehensive standardized neuropsychological tests and structural MRI. The mean global cognitive function of patients with Long COVID assessed by ACE III screening test (Overall Cognitive level - OCLz= -0.39± 0.12) was significantly below the infection recovered-controls (OCLz= +0.32± 0.16, p< 0.01). We observed that 48% of patients with Long COVID had episodic memory deficit, with 27% also impaired overall cognitive function, especially attention, working memory, processing speed and verbal fluency. The MRI examination included grey matter morphometry and whole brain structural connectivity analysis. Compared to infection recovered controls, patients had thinner cortex in a specific cluster centred on the left posterior superior temporal gyrus. In addition, lower fractional anisotropy (FA) and higher radial diffusivity (RD) were observed in widespread areas of the patients' cerebral white matter relative to these controls. Correlations between cognitive status and brain abnormalities revealed a relationship between altered connectivity of white matter regions and impairments of episodic memory, overall cognitive function, attention and verbal fluency. This study shows that patients with neurological Long COVID suffer brain changes, especially in several white matter areas, and these are associated with impairments of specific cognitive functions.

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis.

BACKGROUND: The COVID-19 pandemic has underscored the significance of adopting healthy lifestyles to mitigate the risk of severe outcomes and long-term consequences. OBJECTIVE: This study focuses on assessing the prevalence and clustering of 5 unhealthy lifestyle behaviors among Vietnamese adults after recovering from COVID-19, with a specific emphasis on sex differences. METHODS: The cross-sectional data of 5890 survivors of COVID-19 in Vietnam were analyzed from December 2021 to October 2022. To examine the sex differences in 5 unhealthy lifestyle behaviors (smoking, drinking, unhealthy diet, physical inactivity, and sedentary behavior), the percentages were plotted along with their corresponding 95% CI for each behavior. Latent class analysis was used to identify 2 distinct classes of individuals based on the clustering of these behaviors: the "less unhealthy" group and the "more unhealthy" group. We examined the sociodemographic characteristics associated with each identified class and used logistic regression to investigate the factors related to the "more unhealthy" group. RESULTS: The majority of individuals (male participants: 2432/2447, 99.4% and female participants: 3411/3443, 99.1%) exhibited at least 1 unhealthy behavior, with male participants being more susceptible to multiple unhealthy behaviors. The male-to-female ratio for having a single behavior was 1.003, but it escalated to 25 for individuals displaying all 5 behaviors. Male participants demonstrated a higher prevalence of combining alcohol intake with sedentary behavior (949/2447, 38.8%) or an unhealthy diet (861/2447, 35.2%), whereas female participants tended to exhibit physical inactivity combined with sedentary behavior (1305/3443, 37.9%) or an unhealthy diet (1260/3443, 36.6%). Married male participants had increased odds of falling into the "more unhealthy" group compared to their single counterparts (odds ratio [OR] 1.45, 95% CI 1.14-1.85), while female participants exhibited lower odds (OR 0.65, 95% CI 0.51-0.83). Female participants who are underweight showed a higher likelihood of belonging to the "more unhealthy" group (OR 1.11, 95% CI 0.89-1.39), but this was not observed among male participants (OR 0.6, 95% CI 0.41-0.89). In both sexes, older age, dependent employment, high education, and obesity were associated with higher odds of being in the "more unhealthy" group. CONCLUSIONS: The study identified notable sex differences in unhealthy lifestyle behaviors among survivors of COVID-19. Male survivors are more likely to engage in unhealthy behaviors compared to female survivors. These findings emphasize the importance of tailored public health interventions targeting sex-specific unhealthy behaviors. Specifically, addressing unhealthy habits is crucial for promoting post-COVID-19 health and well-being.

Patients with unmet social needs are at higher risks of developing severe long COVID-19 symptoms and neuropsychiatric sequela.

This study investigated long COVID of patients in the Montefiore Health System COVID-19 (CORE) Clinics in the Bronx with an emphasis on identifying health related social needs (HRSNs). We analyzed a cohort of 643 CORE patients (6/26/2020-2/24/2023) and 52,089 non-CORE COVID-19 patients. Outcomes included symptoms, physical, emotional, and cognitive function test scores obtained at least three months post-infection. Socioeconomic variables included median incomes, insurance status, and HRSNs. The CORE cohort was older age (53.38 ± 14.50 vs. 45.91 ± 23.79 years old, p < 0.001), more female (72.47% vs. 56.86%, p < 0.001), had higher prevalence of hypertension (45.88% vs. 23.28%, p < 0.001), diabetes (22.86% vs. 13.83%, p < 0.001), COPD (7.15% vs. 2.28%, p < 0.001), asthma (25.51% vs. 12.66%, p < 0.001), lower incomes (53.81% vs. 43.67%, 1st quintile, p < 0.001), and more unmet social needs (29.81% vs. 18.49%, p < 0.001) compared to non-CORE COVID-19 survivors. CORE patients reported a wide range of severe long-COVID symptoms. CORE patients with unmet HRSNs experienced more severe symptoms, worse ESAS-r scores (tiredness, wellbeing, shortness of breath, and pain), PHQ-9 scores (12.5 (6, 17.75) vs. 7 (2, 12), p < 0.001), and GAD-7 scores (8.5 (3, 15) vs. 4 (0, 9), p < 0.001) compared to CORE patients without. Patients with unmet HRSNs experienced worse long-COVID outcomes compared to those without.

Managing long COVID symptoms and accessing health services in Brazil: A grounded theory analysis.

Background: The worldwide community has shown significant interest in researching the management of Long COVID. However, there is scarce evidence about the daily experiences of people living with Long COVID and their insights into the healthcare services provided to them. Aims: This study aims to understand the experience of Long COVID sufferers with their symptoms and in accessing health services. Method: We employed Charmaz's grounded theory methodology, informed by constructivism, and applied the COREQ guidelines for qualitative research. Sixty-six Brazilians living with Long COVID participated in the study. The data was collected using semi-structured telephone interviews and analyzed using a constant comparative process. Findings: The findings refer firstly to the consequences of persistent Long COVID symptoms. Secondly, they describe how the disease trajectory required Long COVID sufferers to reorganize their routines and develop adaptive strategies. Lastly, they reflect a diverse array of both positive and negative interactions inside the healthcare system conveyed by individuals suffering from Long COVID. These elements converge towards the core category of the study: "The limbo of Long COVID sufferers: between the persistence of symptoms and access to health services". Conclusions: Long COVID is characterized by its varied nature, including a range of physical and emotional repercussions experienced by individuals. There is a need for enhanced comprehension and discourse about Long COVID across several domains, including the general public, policy-making entities, and healthcare professionals. In this sense, the development of specialized services or the reinforcement of existing services to support long COVID sufferers is imperative.

Two- and 3-year outcomes in convalescent individuals with COVID-19: A prospective cohort study.

As the long-term consequences of coronavirus disease 2019 (COVID-19) have not been defined, it is necessary to explore persistent symptoms, long-term respiratory impairment, and impact on quality of life over time in COVID-19 survivors. In this prospective cohort study, convalescent individuals diagnosed with COVID-19 were followed-up 2 and 3 years after discharge from hospital. Participants completed an in-person interview to assess persistent symptoms and underwent blood tests, pulmonary function tests, chest high-resolution computed tomography, and the 6-min walking test. There were 762 patients at the 2-year follow-up and 613 patients at the 3-year follow-up. The mean age was 60 years and 415 (54.5%) were men. At 3 years, 39.80% of the participants had at least one symptom; most frequently, fatigue, difficulty sleeping, joint pain, shortness of breath, muscle aches, and cough. The participants experienced different degrees of pulmonary function impairment, with decreased carbon monoxide diffusion capacity being the main feature; results remained relatively stable over the 2-3 years. Multiple logistic regression analysis demonstrated that female sex and smoking were independently associated with impaired diffusion capacity. A subgroup analysis based on disease severity was performed, indicating that there was no difference in other parameters of lung function except forced vital capacity at 3-year follow-up. Persistent radiographic abnormalities, most commonly fibrotic-like changes, were observed at both timepoints. At 3 years, patients had a significantly improved Mental Component Score compared with that at 2 years, with a lower percentage with anxiety. Our study indicated that symptoms and pulmonary abnormalities persisted in COVID-19 survivors at 3 years. Further studies are warranted to explore the long-term effects of COVID-19 and develop appropriate rehabilitation strategies.

Medication Utilization Patterns in Patients with Post-COVID Syndrome (PCS): Implications for Polypharmacy and Drug-Drug Interactions.

BACKGROUND: Post-COVID syndrome (PCS) causes lasting symptoms like fatigue and cognitive issues. PCS treatment is non-specific, focusing on symptom management, potentially increasing the risk of polypharmacy. OBJECTIVES: To describe medication use patterns among patients with Post-COVID Syndrome (PCS) and estimate the prevalence of polypharmacy, potential drug-drug interactions, and anticholinergic/sedative burden. METHODS: A cross-sectional analysis of baseline data from the Quebec Action for Post-COVID cohort, consisting of individuals self-identifying with persistent COVID-19 symptoms beyond 12 weeks. Medications were categorized using Anatomical Therapeutic Classification (ATC) codes. Polypharmacy was defined as using five or more concurrent medications. The Anticholinergic and Sedative Burden Catalog assessed anticholinergic and sedative loads. The Lexi-Interact checker identified potential drug-drug interactions, which were categorized into three severity tiers. RESULTS: Out of 414 respondents, 154 (average age 47.7 years) were prescribed medications related to persistent COVID-19 symptoms. Drugs targeting the nervous system were predominant at 54.5%. The median number of medications was 2, while 11.7% reported polypharmacy. Over half of the participants prescribed medications used at least one anticholinergic or sedative medication, and 25% had the potential risk for clinically significant drug-drug interactions, primarily needing therapy monitoring. CONCLUSIONS: Our study reveals prescription patterns for PCS, underscoring the targeted management of nervous system symptoms. The risks associated with polypharmacy, potential drug-drug interactions, and anticholinergic/sedative burden stress the importance of judicious prescribing. While limitations like recall bias and a regional cohort are present, the findings underscore the imperative need for vigilant PCS symptom management.

Long COVID and post-acute sequelae of SARS-CoV-2 pathogenesis and treatment: A Keystone Symposia report.

In 2023, the Keystone Symposia held the first international scientific conference convening research leaders investigating the pathology of post-acute sequelae of COVID-19 (PASC) or Long COVID, a growing and urgent public health priority. In this report, we present insights from the talks and workshops presented during this meeting and highlight key themes regarding what researchers have discovered regarding the underlying biology of PASC and directions toward future treatment. Several themes have emerged in the biology, with inflammation and other immune alterations being the most common focus, potentially related to viral persistence, latent virus reactivation, and/or tissue damage and dysfunction, especially of the endothelium, nervous system, and mitochondria. In order to develop safe and effective treatments for people with PASC, critical next steps should focus on the replication of major findings regarding potential mechanisms, disentangling pathogenic mechanisms from downstream effects, development of cellular and animal models, mechanism-focused randomized, placebo-controlled trials, and closer collaboration between people with lived experience, scientists, and other stakeholders. Ultimately, by learning from other post-infectious syndromes, the knowledge gained may help not only those with PASC/Long COVID, but also those with other post-infectious syndromes.

Type I interferons induce an epigenetically distinct memory B cell subset in chronic viral infection.

Memory B cells (MBCs) are key providers of long-lived immunity against infectious disease, yet in chronic viral infection, they do not produce effective protection. How chronic viral infection disrupts MBC development and whether such changes are reversible remain unknown. Through single-cell (sc)ATAC-seq and scRNA-seq during acute versus chronic lymphocytic choriomeningitis viral infection, we identified a memory subset enriched for interferon (IFN)-stimulated genes (ISGs) during chronic infection that was distinct from the T-bet+ subset normally associated with chronic infection. Blockade of IFNAR-1 early in infection transformed the chromatin landscape of chronic MBCs, decreasing accessibility at ISG-inducing transcription factor binding motifs and inducing phenotypic changes in the dominating MBC subset, with a decrease in the ISG subset and an increase in CD11c+CD80+ cells. However, timing was critical, with MBCs resistant to intervention at 4 weeks post-infection. Together, our research identifies a key mechanism to instruct MBC identity during viral infection.

Imbalanced Brain Neurochemicals in long COVID and ME/CFS: A Preliminary Study using MRI.

PURPOSE: Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) patients experience multiple complex symptoms, potentially linked to imbalances in brain neurochemicals. This study aims to measure brain neurochemical levels in long COVID and ME/CFS patients as well as healthy controls to investigate associations with severity measures. METHODS: Magnetic resonance spectroscopy (MRS) data was acquired with a 3T Prisma MRI scanner. We measured absolute levels of brain neurochemicals in the posterior cingulate cortex in long COVID (n=17), ME/CFS (n=17), and healthy controls (n=10) using Osprey software. The statistical analyses were performed using SPSS version 29. Age and sex were included as nuisance covariates. RESULTS: Glutamate levels were significantly higher in long COVID (p=0.02) and ME/CFS (p=0.017) than in healthy controls. No significant difference was found between the two patient cohorts. Additionally, N-acetyl-aspartate levels were significantly higher in long COVID patients (p=0.012). Importantly, brain neurochemical levels were associated with self-reported severity measures in long COVID and ME/CFS. CONCLUSION: Our study identified significantly elevated Glutamate and N-acetyl-aspartate levels in long COVID and ME/CFS patients compared with healthy controls. No significant differences in brain neurochemicals were observed between the two patient cohorts, suggesting a potential overlap in their underlying pathology. These findings suggest that imbalanced neurochemicals contribute to the complex symptoms experienced by long COVID and ME/CFS patients.

Prevalence of long COVID symptoms in Haryana, India: a cross-sectional follow-up study.

Background: Emerging research indicates growing concern over long COVID globally, although there have been limited studies that estimate population burden. We aimed to estimate the burden of long COVID in three districts of Haryana, India, using an opportunity to link a seroprevalence study to follow-up survey of symptoms associated with long COVID. Methods: We used a population-based seroprevalence survey for COVID-19 conducted in September 2021 across Haryana, India. Adults from three purposively selected districts (Rohtak, Gurugram, and Jhajjar) were eligible to participate; 2205 of 3213 consented to participate in a survey on health status. Trained investigators administered a structured questionnaire that included demographic characteristics, self-reported symptoms of illness in the last six months before the survey, mental health, and history of COVID-19. Findings: Unadjusted regression estimates indicated positive correlations between symptomatic complaints and COVID-19 exposure, suggesting lingering effects of COVID-19 in this population. The overall physical morbidity index was higher among those who tested positive for COVID-19, as was the incidence of new cases. However, both morbidity and incidence became statistically insignificant after adjustment for multiple comparisons. Cough emerged as the only statistically significant individual persistent symptom. Sex-stratified analyses indicated significant estimates only for physical morbidity in women. Interpretation: This study is one of the first from India that uses a large population-based sample to examine longer term repercussions of COVID infections. The burden of long COVID should primarily be addressed in clinical settings, where specialised treatment for individual cases continues to evolve. Our analyses also provide insight into the size and nature of studies required to assess the population-level burden of long COVID. Funding: This paper was produced under the auspices of the Lancet COVID 19 Commission India Task Force, which was supported financially by the Reliance Foundation. The Lancet COVID 19 Commission was set up in July 2020 and submitted its final report by October 2022. This report by the India Task Force was prepared during the same period.

Evaluating performance on the Glittre-ADL test in men with long COVID 3 years after a SARS-CoV-2 infection.

Background/objective: Many COVID-19 survivors, especially those who have been hospitalized, have been suffering numerous complications that limit their activities of daily living, although changes that persist 3 years after infection are still not known. We aimed to investigate the impact of long COVID on the Glittre-ADL test (TGlittre) 3 years after acute infection in men who needed hospitalization and explore whether the performance on the TGlittre is associated with impairments in lung function, muscle strength, physical function and quality of life (QoL). Methods: Cross-sectional study with 42 men with long COVID who took the TGlittre. They underwent pulmonary function tests and measurements of handgrip strength and quadriceps strength (QS). Additionally, they also completed the Saint George Respiratory Questionnaire (SGRQ) and Functional Independence Measure (FIM). Results: The mean age was 52 ± 10.6 years, while the mean time after diagnosis of COVID-19 was 37 ± 3.5 months. The mean TGlittre time was 3.3 (3.1-4.1) min, which was 10% greater than the time expected for normal individuals to complete it. The TGlittre time was correlated significantly with the QS (rs = -0.397, p = 0.009), pulmonary diffusion (rs = - 0.364, p = 0.017), FIM (rs = -0.364, p = 0.017) and the "activity" domain score of the SGRQ (rs = 0.327, p = 0.034). Conclusion: Functional capacity on exertion as measured by the TGlittre time is normal in most men with long COVID 3 years after hospitalization. However, this improvement in functional capacity does not seem to be reflected in muscle strength or QoL, requiring continued monitoring even after 3 years.

Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON).

PURPOSE: The objective examination of the Post-COVID syndrome (PCS) remains difficult due to heterogeneous definitions and clinical phenotypes. The aim of the study was to verify the functionality and correlates of a recently developed PCS score. METHODS: The PCS score was applied to the prospective, multi-center cross-sectoral cohort (in- and outpatients with SARS-CoV-2 infection) of the "National Pandemic Cohort Network (NAPKON, Germany)". Symptom assessment and patient-reported outcome measure questionnaires were analyzed at 3 and 12 months (3/12MFU) after diagnosis. Scores indicative of PCS severity were compared and correlated to demographic and clinical characteristics as well as quality of life (QoL, EQ-5D-5L). RESULTS: Six hundred three patients (mean 54.0 years, 60.6% male, 82.0% hospitalized) were included. Among those, 35.7% (215) had no and 64.3% (388) had mild, moderate, or severe PCS. PCS severity groups differed considering sex and pre-existing respiratory diseases. 3MFU PCS worsened with clinical severity of acute infection (p = .011), and number of comorbidities (p = .004). PCS severity was associated with poor QoL at the 3MFU and 12MFU (p < .001). CONCLUSION: The PCS score correlated with patients' QoL and demonstrated to be instructive for clinical characterization and stratification across health care settings. Further studies should critically address the high prevalence, clinical relevance, and the role of comorbidities. TRAIL REGISTRATION NUMBER: The cohort is registered at www. CLINICALTRIALS: gov under NCT04768998.

Coronavirus Disease 2019: Past, Present, and Future.

Severe acute respiratory syndrome coronavirus 2 is one of the most impactful diseases experienced in the past century. While the official national health emergency concluded in May of 2023, coronavirus disease 2019 (COVID-19) continues to mutate. As the summer of 2023, all countries were experiencing a new surge of cases from the EG.5 Omicron variant. Additionally, a new genetically distinct Omicron descendant BA2.86 had been detected in multiple countries including the United States. This article seeks to offer lessons learned from the pandemic, summarize best evidence for current management of patients with COVID-19, and give insights into future directions with this disease.

Severe acute respiratory syndrome coronavirus 2 infection rate among pediatric patients with respiratory symptoms.

BACKGROUND: The incidence of coronavirus disease 2019 (COVID-19) in children has been increasing worldwide since the onset of the pandemic. This study examined the risk factors and characteristics of COVID-19 among pediatric patients compared to other respiratory viral infections. METHODS: This was a prospective cross-sectional study. Patients aged 0-18 years presenting with respiratory symptoms from October 2020 to December 2021 were included. Demographic and clinical data were reviewed. RESULTS: In total, 738 pediatric patients were enrolled. Of these, 48.5% had COVID-19, and 41.3% were infected with another respiratory virus. The COVID-19 incidence increased from 0.5% during the original strain outbreak (October 2020 to March 2021) to 56.5% and 73.4% during the alpha (April to June 2021) and delta (July to December 2021) periods, respectively. Children aged 6-18 years, being female, obesity, exposure to household members with COVID-19, and the delta period were risk factors for COVID-19. Being aged 1-5 years, obesity, shortness of breath, productive cough, and chest pain were associated with COVID-19 pneumonia. Children aged 5-18 years, underlying neurological disease, a history of COVID-19 pneumonia, and the delta period were associated with long COVID. CONCLUSIONS: Pediatric COVID-19 patients presenting with respiratory symptoms who are obese or have been exposed to household members with COVID-19 should be tested for COVID-19. COVID-19 patients who are obese, younger than five years old, or who present with shortness of breath, productive cough, or chest pain should be evaluated for pneumonia. COVID-19 patients with a history of COVID-19 pneumonia or underlying neurological disease should receive follow-up for long COVID.

Risk factors and early preventive measures for long COVID in non-hospitalized patients: analysis of a large cohort in the United Arab Emirates.

OBJECTIVES: Long COVID is characterized by persistent symptoms lasting for 4 weeks or more following the acute infection with SARS-CoV-2. Risk factors for long COVID and the impact of pre-COVID vaccination and treatment during acute COVID-19 remain uncertain. This study aimed to investigate patient-specific factors associated with long COVID in a large cohort of non-hospitalized adult patients with mild to moderate COVID-19 in Dubai. STUDY DESIGN: Cohort study. METHODS: The study included 28,375 non-hospitalized adult patients diagnosed with mild to moderate COVID-19 between January 1, 2021, and September 31, 2022, in Dubai, who were followed up for 90 days. The presence of long COVID symptoms was documented by physicians during patient visits to the family medicine department. Furthermore, long COVID-related risk factors were collected and analyzed, including patient demographics, comorbidities, pre-COVID vaccination status, and the COVID-related treatments received during the acute phase of the illness. Cox proportional hazard models were applied for the statistical analysis. RESULTS: Among the cohort, 2.8% of patients experienced long COVID symptoms during the 90-day follow-up. Patients with long COVID tended to be younger, female, and of Caucasian race. Common symptoms included fatigue, muscle pain, respiratory symptoms, abdominal and neurological symptoms, allergic reactions, skin rashes, and hair loss. Risk factors for long COVID were identified as diabetes mellitus, asthma, and Vitamin D deficiency. Females and Caucasians had a higher risk of long COVID during the pre-Omicron period compared to the Omicron period. Pre-COVID vaccination was associated with a reduced risk of long COVID in all patient subgroups. Treatment with favipiravir or sotrovimab during the acute phase of COVID-19 was linked to a decreased risk of long COVID, although favipiravir showed limited effectiveness in the high-risk group. CONCLUSION: This study contributes to the existing knowledge by identifying risk factors for long COVID among non-hospitalized patients and emphasizing the potential benefits of pre-COVID vaccination and timely treatment.

Long COVID outcomes following omicron wave in non-hospital population.

Background: The persistence of symptoms or the development of new symptoms following a diagnosis of SARS-CoV-2 has given rise to a multifaceted clinical condition referred to as "long COVID" (LC). The understanding of LC among China's non-hospitalized population continues to be insufficient. This investigation was designed to evaluate the protracted consequences amongst this demographic, as well as to identify the associated risk factors. Methods: This research constitutes a prospective cohort study focusing on non-hospitalized individuals, aged between 18 and 59, who have been positively diagnosed with COVID-19. Each participant was subjected to a sequence of questionnaire-based surveys, designed to evaluate symptoms as well as the status of depression and anxiety. A logistic regression model, adjusted for multiple variables, was employed to scrutinize the correlation between demographic elements, lifestyle attributes, and health-related risk factors in relation to conditions and symptoms post COVID-19 infection. Results: A total of 706 individuals participated in the 3 months follow-up, with 620 continuing on to the 6 months follow-up. The median age was 35 (28, 43) years, and 597 (85%) are female. Upon follow-up, Compared with patients without LC, patients with LC have a higher proportion of females (420 (87%) vs. 177 (79%); p = 0.010), were older (35 (29, 44) years vs. 33 (27, 41) years; p = 0.010) and have more comorbidities. Out of all participants, 483 (68.4%) reported experiencing at least one symptom at the 3 months mark, while 49.7% reported symptoms persisting at the 6 months mark. At the 3 months follow-up, the most prevalent persistent symptoms were cough (46%), fatigue (38%), and shortness of breath (34%). By the 6 months follow-up, fatigue (25%), shortness of breath (22%), and sleep disorders (16%) were the most commonly reported symptoms. Anxiety and depression were consistently reported as prevalent symptoms throughout the follow-up period. Most patient symptoms fade over time, with the quickest decreases observed in cough (from 46 to 9%), expectoration (from 26 to 6.3%), smell disorder (from 16 to 3.9%), and taste disorder (from 18 to 3.5%). Male and those possessing advanced educational qualifications exhibit a decreased susceptibility to the sustained incidence of coughing. Conversely, older age and the presence of comorbidities were identified as risk factors for persistent fatigue and shortness of breath. Conclusion: In the after of COVID-19, it has been observed that the majority of patient symptoms tend to decrease over time. The primary residual symptoms noticed after a 6 month follow-up were fatigue, dyspnea, and sleep disturbances. However, it's noteworthy that the risk factors associated with these symptoms exhibit subtle variations. Furthermore, psychological sequelae, namely depression and anxiety, are frequently reported among COVID-19 survivors.