Long COVID: An inevitable sequela of SARS-CoV-2 infection

Thiol esters as chemical warheads of SARS-CoV-2 main protease (3CLpro) peptide-like inhibitors

Peptide-like 3CLpro covalent binding inhibitors are the most effective antiviral drugs for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Their covalent warheads were designed based on the addition reaction activity of the aldehyde (ketone) carbonyl or its derivative structures. These addition reactions between the warheads and the thiol of the 3CLpro are reversible, and the resulting hemimonothioacetals are chemically unstable. Herein, after DFT calculation, we designed thiol ester warheads using the principle of ester exchange reaction. Then, the warhead fluorescence probe binding experiment suggested these adducts of thiol ester warheads and 3CLpro protein are more stable than the hemimonothioacetals mentioned earlier. Therefore, new 3CLpro inhibitors were subsequently designed through a structure-based drug design method employing those thiol ester warheads. Those 3CLpro inhibitors demonstrated potent 3CLpro inhibitory activities and anti-coronavirus HCoV-OC43 activities. Among them, B16 stands out as the most promising, demonstrating not only the strongest anti-coronavirus HCoV-OC43 activity but also being a moderate inhibitor of CYP3A4, suggesting that B16 does not require co-administration with ritonavir in the treatment of SARS-CoV-2 infection. This work demonstrates the significant potential of thiol esters as novel chemical warheads in designing covalent binding inhibitors for 3CLpro and beyond.

Interactions between pathological and functional amyloid: A match made in Heaven or Hell?

The amyloid state of proteins occurs in many different contexts in Nature and in modern society, ranging from the pathological kind (neurodegenerative diseases and amyloidosis) via man-made forms (food processing and - to a much smaller extent - protein biologics) to functional versions (bacterial biofilm, peptide hormones and signal transmission). These classes all come together in the human body which endogenously produces amyloidogenic protein able to form pathological human amyloid (PaHA), hosts a microbiome which continuously makes functional bacterial amyloid (FuBA) and ingests food which can contain amyloid. This can have grave consequences, given that PaHA can spread throughout the body in a "hand-me-down" fashion from cell to cell through small amyloid fragments, which can kick-start growth of new amyloid wherever they encounter monomeric amyloid precursors. Amyloid proteins can also self- and cross-seed across dissimilar peptide sequences. While it is very unlikely that ingested amyloid plays a role in this crosstalk, FuBA-PaHA interactions are increasingly implicated in vivo amyloid propagation. We are now in a position to understand the structural and bioinformatic basis for this cross-talk, thanks to the very recently obtained atomic-level structures of the two major FuBAs CsgA (E. coli) and FapC (Pseudomonas). While there are many reports of homology-driven heterotypic interactions between different PaHA, the human proteome does not harbor significant homology to CsgA and FapC. Yet we and others have uncovered significant cross-stimulation (and in some cases inhibition) of FuBA and PaHA both in vitro and in vivo, which we here rationalize based on structure and sequence. These interactions have important consequences for the transmission and development of neurodegenerative diseases, not least because FuBA and PaHA can come into contact via the gut-brain interface, recurrent infections with microbes and potentially even through invasive biofilm in the brain. Whether FuBA and PaHA first interact in the gut or the brain, they can both stimulate and block each other's aggregation as well as trigger inflammatory responses. The microbiome may also affect amyloidogenesis in other ways, e.g. through their own chaperones which recognize and block growth of both PaHA and FuBA as we show both experimentally and computationally. Heterotypic interactions between and within PaHA and FuBA both in vitro and in vivo are a vital part of the amyloid phenomenon and constitute a vibrant and exciting frontier for future research.

Utilizing Google Trends data to enhance forecasts and monitor long COVID prevalence

BACKGROUND

Long COVID, the persistent illness following COVID-19 infection, has emerged as a major public health concern since the outbreak of the pandemic. Effective disease surveillance is crucial for policymaking and resource allocation.

METHODS

We investigated the potential of utilizing Google Trends data to enhance long COVID symptoms surveillance. Though Google Trends provides freely available search popularity data, limitations in data normalization and retrieval restrictions have hindered its predictive capabilities. In our study, we carefully selected 33 search terms and 20 related topics from the long COVID symptoms list provided by the Centers for Disease Control and Prevention and the database "scite", and calculated their merged search volumes from Google Trends data using our developed statistical method for analysis.

RESULTS

We identify four related topics (ageusia, anosmia, chest pain, and headaches) that consistently exhibit increased search popularity before that of "long COVID." Additionally, nine related topics (aching muscle pain, anxiety, chest pain, clouding of consciousness, dizziness, fatigue, myalgia, shortness of breath, and hypochondriasis) show increased search popularity following that of "long COVID." We demonstrate that the merged search volume (MSV), derived from the relative search volume data downloaded from Google, can be used to forecast the prevalence of long COVID in a prediction study, supporting the use of the methodology in risk management regarding the prevalence of long COVID.

CONCLUSIONS

By utilizing a comprehensive list of search terms and sophisticated statistical analytics, our study contributes to exploring the potential of Google Trends data for forecasting and monitoring long COVID prevalence. These findings and methodologies can be used as prior knowledge to inform future infodemiological and epidemiological investigations.

Role of lifestyle factors in mediating the effect of mood swings on cardiovascular diseases: A mediation Mendelian randomization study

It has been found that individuals with psychiatric illnesses are predisposed to an elevated risk of cardiovascular diseases (CVDs). Mood swing is a clinically relevant characteristic linked to psychiatric disorders. This study examined the possible relationship between genetically predicted mood swings and CVDs risk. In this mediation Mendelian randomization (MR) study, we compiled data from genome-wide association studies examining mood swings (n = 451,619) and 5 CVDs among Europeans, including coronary artery disease (CAD) (n = 547,261), major coronary heart disease events (MCEs) (n = 361,194), all-cause heart failure (AHF) (n = 218,208), atrial fibrillation (n = 1030,836), and stroke (n = 446,696). The inverse variance weighting method was considered the primary assessment approach in MR analysis, and several sensitivity analyses were performed to evaluate the reliability of the results. Furthermore, the mediating effect of lifestyle factors including smoking, alcohol intake, walking, and waist-hip ratio was explored by using a two-step MR. According to our MR analysis, mood swings were genetically associated with a higher risk of CAD (OR, 2.101; 95% CI, 1.200-3.679; P = .009), AHF (OR, 2.761; 95% CI, 1.312-5.810; P = .007), and MCE (OR, 1.048; 95% CI, 1.022-1.076; P < .001). In the two-step MR analysis, smoking may mediate the causal pathways from mood swings to CAD (27%), MCE (18%), and AHF (26%). Our MR study revealed a potential causal relationship between mood swings and CVDs, smoking may play an important role in it, highlighting the need for regulating mood stability and build a healthy lifestyle to prevent the onset of CVDs. However, due to the limitations of MR, further research is needed to confirm these associations and clarify the underlying mechanisms.

Multicentre retrospective detection of nailfold videocapillaroscopy abnormalities in long covid patients

BACKGROUND

SARS-CoV-2 induces acute non-specific endothelial/microvascular alterations that have been identified by nailfold videocapillaroscopy (NVC). Details on NVC abnormalities in long covid (LC) patients (pts) are unknown.

METHODS

LC pts without and with systemic sclerosis (non-SSc-LC and SSc-LC), recovered COVID-19 (RC) pts that did not develop LC and healthy matched control subjects (CNT) that underwent NVC examinations were evaluated in a multicentre national study from the Capillaroscopy and Microcirculation in Rheumatic Diseases Study Group of the Italian Society of Rheumatology. Retrospective collection was performed for demographic data, course of SARS-CoV-2 infection, comorbidities, concomitant drugs. NVC alterations were quantified by validated scores. Pre-COVID-19 and post-COVID-19 microvascular status was analysed by NVC.

RESULTS

62 non-SSc-LC pts (49 female/13 male, 51±16 years old), 24 SSc-LC pts (21 female/3 male, 59±17 years old), 23 RC pts (18 female/5 male, 51±18 years old) and 84 CNT (68 female/16 male, 52±12 years old) were analysed. Non-SSc-LC pts showed significantly more dilated capillaries (p<0.01, p multivariate<0.01), microhaemorrhages (p=0.01, p multivariate<0.05), abnormal shapes (p<0.05, p multivariate<0.05) than CNT and of note, lower mean capillary number per linear millimetre (p<0.01, p multivariate<0.01) than both RC pts and CTN (p<0.01, p multivariate<0.05).Of highest interest, 16 non-SSc-LC pts showed statistically significantly more dilated capillaries (p<0.05) and microhaemorrhages (p<0.05) in NVC examinations after COVID-19, compared with pre-COVID-19 status.Similarly, SSc-LC pts (24) showed significantly lower capillary density (p=0.01) and more dilated capillaries (p<0.01) in NVC examinations after COVID-19, compared with pre-COVID-19 status.

CONCLUSIONS

LC pts show more microvascular alterations at NVC as compared with RC patients and CNT, which may contribute to the pathogenesis of persistent organ/systems dysfunction.

SARS-CoV-2 Spike Protein and Long COVID-Part 1: Impact of Spike Protein in Pathophysiological Mechanisms of Long COVID Syndrome

SARS-CoV-2 infection has resulted in more than 700 million cases and nearly 7 million deaths worldwide. Although vaccination efforts have effectively reduced mortality and transmission rates, a significant proportion of recovered patients-up to 40%-develop long COVID syndrome (LC) or post-acute sequelae of COVID-19 infection (PASC). LC is characterized by the persistence or emergence of new symptoms following initial SARS-CoV-2 infection, affecting the cardiovascular, neurological, respiratory, gastrointestinal, reproductive, and immune systems. Despite the broad range of clinical symptoms that have been described, the risk factors and pathogenic mechanisms behind LC remain unclear. This review, the first of a two-part series, is distinguished by the discussion of the role of the SARS-CoV-2 spike protein in the primary mechanisms underlying the pathophysiology of LC.

A multidisciplinary review of long COVID to address the challenges in diagnosis and updated management guidelines

Long COVID has emerged as a significant challenge since the COVID-19 pandemic, which was declared as an outbreak in March 2020, marked by diverse symptoms and prolonged duration of disease. Defined by the WHO as symptoms persisting or emerging for at least two months post-SARS-CoV-2 infection without an alternative cause, its prevalence varies globally, with estimates of 10-20% in Europe, 7.3% in the USA, and 3.0% in the UK. The condition's etiology remains unclear, involving factors, such as renin-angiotensin system overactivation, persistent viral reservoirs, immune dysregulation, and autoantibodies. Reactivated viruses, like EBV and HSV-6, alongside epigenetic alterations, exacerbate mitochondrial dysfunction and energy imbalance. Emerging evidence links SARS-CoV-2 to chromatin and gut microbiome changes, further influencing long-term health impacts. Diagnosis of long COVID requires detailed systemic evaluation through medical history and physical examination. Management is highly individualized, focusing mainly on the patient's symptoms and affected systems. A multidisciplinary approach is essential, integrating diverse perspectives to address systemic manifestations, underlying mechanisms, and therapeutic strategies. Enhanced understanding of long COVID's pathophysiology and clinical features is critical to improving patient outcomes and quality of life. With a growing number of cases expected globally, advancing research and disseminating knowledge on long COVID remain vital for developing effective diagnostic and management frameworks, ultimately supporting better care for affected individuals.

Post-pandemic epidemiological trends of respiratory infectious diseases in Taiwan: A retrospective analysis

BACKGROUND

This study analyzed the epidemiological trends of three significant respiratory infectious diseases in Taiwan: invasive pneumococcal disease (IPD), influenza with severe complications, and tuberculosis during post-COVID-19 pandemic period.

METHODS

We utilized data from Taiwan's Centers for Disease Control and Prevention (CDC) website and classified the COVID-19 prevention policies into three phases for the year 2021, 2022, and 2023. We then performed a statistical analysis of reported case numbers for the three respiratory diseases during the 3-year period using the Kruskal-Wallis test, followed by joinpoint regression model for the identification of seasonal distribution and variation.

RESULTS

An annual increase was observed in cases of IPD and influenza with severe complication, with influenza exhibiting a significant surge in 2023 (p < 0.001). IPD showed a non-significant upward trend (p = 0.111), while tuberculosis cases decreased annually (p = 0.114) with the gradual slowdown in the incidence rate reduction. Also, seasonal analysis revealed that IPD peaked in winter and spring, while influenza with severe complication peaked anomalously in the summer of 2023, suggestive of a prominent summer influenza. Finally, imported cases of influenza with severe complication, primarily from East and Southeast Asia, were noted only in 2023.

CONCLUSIONS

The relaxation of COVID-19 preventive measures in Taiwan led to a marked resurgence of respiratory infectious diseases, particularly influenza with severe complication, accompanied by anomalous seasonality in 2023. This study highlights the need for continued vigilance and appropriate public health strategies, including vaccination and non-pharmaceutical interventions, to manage respiratory infectious diseases in the post-pandemic era.

Outcomes of non-hospitalized patients with COVID-19 versus seasonal influenza during the fall-winter 2022-2023 period

BACKGROUND

The comparability of outcomes for non-hospitalized COVID-19 outpatients during the Omicron wave to outpatients with influenza remains uncertain. This study aims to compare the outcomes of non-hospitalized outpatients with COVID-19 and seasonal influenza during the fall-winter of 2022-2023.

METHODS

This is a retrospective cohort study using TriNetX, a collaborative clinical research platform. Non-hospitalized outpatients with COVID-19 and seasonal influenza between 01 October 2022 and 31 January 2023 were selected from TriNetX. Propensity score matching (PSM) was used to compare patients receiving corresponding outpatient antiviral treatments. Hazard ratios (HRs) with 95% confidence intervals (CIs) for the primary outcome-a composite of all-cause emergency department (ED) visits, hospitalizations, or mortality during the 30-day follow-up period-were calculated and compared.

RESULTS

After PSM, two well-balanced groups of 9,030 patients each were identified. Non-hospitalized COVID-19 patients had a lower risk of primary composites outcomes including all-cause ED visits, hospitalization, or mortality (5.9% vs. 9.2%, HR, 0.661[95% CI, 0.593-0.737]) compared to the influenza group. In addition, the COVID-19 group demonstrated a reduced risk of all-cause ED visits (4.4% vs. 6.6%, HR 0.683[0.601-0.776]), hospitalization (1.7% vs. 2.9%, HR 0.605[0.495-0.739]) and mortality (0.1% vs. 0.2%, HR 0.176[0.052-0.597]), respectively.

CONCLUSIONS

This study indicates a lower risk of all-cause ED visits, hospitalization, and mortality in the non-hospitalized COVID-19 patients compared to the seasonal influenza group, supporting the current public health strategy of adjusting COVID-19 management based on approaches used for seasonal influenza.

Clinically Significant Functional Impairments and Symptoms in COVID-19 Survivors: Empirical Research Quantitative

BACKGROUND

COVID-19 survivors may experience complex, distressing and persistent symptoms, referred to as long COVID, lasting months or years after diagnosis. More evidence is needed for effective long COVID screening and management.

AIM

To explore the clinical profile of long COVID and factors associated with its development.

DESIGN

A multicentre correlational study using a cross-sectional design.

METHODS

Adults diagnosed with COVID-19 6-9 months earlier were recruited via social media and referrals from three facilities. Participants provided demographic data and assessed their symptoms and functional status using validated questionnaires. Data were analysed using descriptive statistics and binomial logistic regression.

RESULTS

Among 102 participants, 13%-30% reported significant impairments in cognitive, emotional and physical functioning. Over 10% experienced symptoms such as diarrhoea, sleep problems, dyspnoea, nausea, fatigue and pain. These impairments and symptoms were associated with acute symptom severity, chronic disease, overweight status, regular exercise and living without partners.

CONCLUSION

This study adds to the literature by examining long-term functional status and symptoms in omicron survivors using comprehensive, validated tools. The findings highlight the prevalence and clinical significance of long COVID symptoms, aiding in the identification of functional impairments requiring medical and nursing interventions.

IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE

Nurses should recognise these symptoms and educate survivors about potential challenges. Policies addressing long-term issues, including research, health services and education, are essential.

REPORTING METHOD

This study follows the STROBE guideline (Table S1).

PATIENT OR PUBLIC CONTRIBUTION

Patients self-reported symptoms for this study.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT05303103).

Orthostatic Intolerance in Children With Long COVID Utilizing a 10-Minute Passive Standing Test

Despite there being a wide variety of symptoms reported in pediatric long COVID, one condition that has become increasingly recognized is orthostatic intolerance (OI), which can cause significant morbidity, limiting activities of daily living. This study examines rates of OI in 92 children with long COVID who underwent a bedside passive standing test in a pediatric post-COVID-19 rehabilitation clinic. Seventy-one percent met criteria for an orthostatic condition, including postural orthostatic tachycardia syndrome (POTS), orthostatic tachycardia (OT), classic orthostatic hypotension (OH), delayed OH, and orthostatic hypertension. Our findings suggest that OI is common in pediatric long COVID, necessitating appropriate clinical screening and treatment.

The negative effects of long COVID-19 on cardiovascular health and implications for the presurgical examination

CONTEXT

In 2019, emergence of the novel and communicable severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection took scientific communities by surprise and imposed significant burden on healthcare systems globally. Although the advent of this disease piqued the interest of academic centers, healthcare systems, and the general public, there is still much yet to be elucidated regarding epidemiology, pathophysiology, and long-term impacts of coronavirus disease 2019 (COVID-19). It has been established that long COVID-19 can impact multiple organ systems, including the cardiovascular system, unfavorably. Although the pathophysiology of this damage is not well understood, adverse sequelae may range from chest pain and arrhythmias to heart failure (HF), myocardial infarction, or sudden cardiac death. For any postacute COVID-19 patient requiring a surgical procedure, the potential for cardiac injury secondary to long COVID-19 must be considered in the preoperative cardiac examination.

OBJECTIVES

This literature review serves to add to the growing body of literature exploring postacute cardiovascular outcomes of COVID-19, with a focus on presurgical cardiac clearance in the adult patient. Specifically, this review studies the prevalence of cardiovascular symptomatology including chest pain, arrhythmias, blood pressure changes, myo-/pericarditis, HF, cardiomyopathy, orthostatic intolerance, and thromboembolism. Although current evidence is scarce in both quality and quantity, it is the goal that this review will highlight the negative impacts of long COVID-19 on cardiovascular health and encourage providers to be cognizant of potential sequelae in the context of the presurgical examination.

METHODS

For this study, peer-reviewed and journal-published articles were selected based on established inclusion and exclusion criteria to address the question "How does long COVID-19 impact the presurgical cardiac examination of an adult scheduled to undergo a noncardiac procedure?" Inclusion criteria included human studies conducted in adult patients and published in peer-reviewed journals up until May 2024 examining the effects of long-COVID-19 infection on the cardiovascular system. Exclusion criteria eliminated unpublished reports, preprints, duplicate articles, literature regarding coronavirus strains other than COVID-19, studies regarding post-COVID-19 vaccination complications, animal studies, and studies conducted in people younger than 18 years of age. A total of 6,675 studies were retrieved from PubMed and Google Scholar. Following screening, 60 studies were included in final consideration.

RESULTS

Cardiovascular symptoms of postacute COVID-19 infection were encountered with the following percentages prevalence (total numbers of articles mentioning symptom/total number of articles [60]): chest pain (83.3), arrhythmias (88.3), hypertension (40.0), hypotension (16.7), myocarditis (80.0), pericarditis (51.7), HF (70.0), cardiomyopathy (55.0), orthostatic intolerance (56.7), and thromboembolic events (85.0).

CONCLUSIONS

The presence of persisting COVID symptoms may negatively impact the patient's physical examination, blood tests, electrocardiogram (ECG), imaging, and/or echocardiogram. Cardiac conditions associated with long COVID require special attention in the context of the presurgical candidate due to an increased risk of sudden cardiac death, myocarditis, stroke, and myocardial infarction - even in those who were healthy prior to acute COVID-19 infection. Until more specific scientific evidence comes to light, care of these patients should be viewed through the prism of the best practices already in use and clinicians should maintain a low threshold to pursue more extensive cardiac workup prior to surgery.

Neurological, psychological, psychosocial complications of long-COVID and their management

Since it first appeared, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has had a significant and lasting negative impact on the health and economies of millions of individuals all over the globe. At the level of individual health too, many patients are not recovering fully and experiencing a long-term condition now commonly termed 'long-COVID'. Long-COVID is a collection of symptoms which must last more than 12 weeks following initial COVID infection, and which cannot be adequately explained by alternate diagnoses. The neurological and psychosocial impact of long-COVID is itself now a global health crisis and therefore preventing, diagnosing, and managing these patients is of paramount importance. This review focuses primarily on: neurological functioning deficits; mental health impacts; long-term mood problems; and associated psychosocial issues, among patients suffering from long-COVID with an eye towards the neurological basis of these symptoms. A concise account of the clinical relevance of the neurological and psychosocial impacts of long-COVID, the effects on long-term morbidity, and varied approaches in managing patients with significant chronic neurological symptoms and conditions was extracted from the literature, analysed and reported. A comprehensive account of plausible pathophysiological mechanisms involved in the development of long-COVID, its management, and future research needs have been discussed.

Scrutinizing the COVID-19 vaccine safety debate

The controversy surrounding the safety of coronavirus disease-19 vaccinations is part of a larger historical backdrop of ongoing discussions regarding vaccine safety that have spanned several decades. The historical disputes around measles, mumps, rubella, and influenza highlight the recurring pattern in which public doubt is fueled by false information and personal stories. A 2024 multinational study in the journal Vaccine presented preexisting safety indicators for myocarditis, pericarditis, Guillain - Barré syndrome, and cerebral venous sinus thrombosis. The study had a notably large sample size and contributed to the ongoing discussion of vaccine safety. Examining this research clarifies the subtle distinctions between demonstrating causality and simple association, emphasizing the importance of thorough scientific investigation and open communication. The following recommendations should be prioritized to tackle vaccine hesitancy and ensure that politicians, healthcare practitioners, and public health officials make informed decisions. Vaccine safety data should be openly and readily provided to the public, particularly regarding potential hazards and advantages. Establishing post-marketing surveillance systems to monitor and examine adverse effects linked to vaccinations helps strengthen public confidence in the safety monitoring process and officials' dedication to addressing safety concerns with thoroughness.

Piecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023

OBJECTIVE

To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023.

METHODS

Using X as the data source, we extracted tweets containing #long-covid, #long_covid, or "long covid," posted from May 2020 to April 2023. We then conducted an unsupervised deep learning analysis using Bidirectional Encoder Representations from Transformers (BERT). This method allowed us to process and analyze large-scale textual data, focusing on individual user tweets. We then employed BERT-based topic modeling, followed by reflexive thematic analysis to categorize and further refine tweets into coherent themes to interpret the overarching narratives within the long COVID discourse. In contrast to prior studies, the constructs framing our analyses were data driven as well as informed by the tenets of social constructivism.

RESULTS

Out of an initial dataset of 2,905,906 tweets, a total of 1,354,889 unique, English-language tweets from individual users were included in the final dataset for analysis. Three main themes were generated: (1) General discussions of long COVID, (2) Skepticism about long COVID, and (3) Adverse effects of long COVID on individuals. These themes highlighted various aspects, including public awareness, community support, misinformation, and personal experiences with long COVID. The analysis also revealed a stable temporal trend in the long COVID discussions from 2020 to 2023, indicating its sustained interest in public discourse.

CONCLUSION

Social media, specifically X, helped in shaping public awareness and perception of long COVID, and the posts demonstrate a collective effort in community building and information sharing.

The Effectiveness of COVID-19 Vaccination on Post-Acute Sequelae of SARS-CoV-2 Infection Among Geriatric Patients

This study aims to evaluate the effectiveness of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines in preventing the post-acute sequelae of SARS-CoV-2 infection (PASC), commonly known as long COVID, and reducing all-cause mortality among older patients. A retrospective cohort study was conducted using the TriNetX database. The study cohort consisted of older patients (age ≥ 65 years) with their first COVID-19 illness between January 1, 2022, and May 31, 2024. Participants were divided into vaccinated and unvaccinated groups based on their vaccination status. Propensity score matching (PSM) was used to balance baseline characteristics. Cox regression models and log-rank tests were applied to estimate the hazard ratio (HR) for PASC and all-cause mortality during 30-180 days of follow-up. The study included 189 059 geriatric patients who contracted SARS-CoV-2, with 5615 vaccinated and 183 444 unvaccinated. After PSM, each group contained 5615 patients. Vaccinated patients exhibited a significantly lower incidence of PASC symptoms (HR = 0.852, 95% CI: 0.778-0.933, p = 0.0005), particularly anxiety and depression, with a HR of 0.710 (95% CI: 0.575-0.878, p = 0.0015). Vaccination was also significantly associated with reduced all-cause mortality (HR = 0.231, 95% CI: 0.136-0.394, p < 0.0001). The findings highlight the effectiveness of COVID-19 vaccination in mitigating the development of PASC and decreasing mortality among older patients.

Tree-based classification model for Long-COVID infection prediction with age stratification using data from the National COVID Cohort Collaborative

Objectives

We propose and validate a domain knowledge-driven classification model for diagnosing post-acute sequelae of SARS-CoV-2 infection (PASC), also known as Long COVID, using Electronic Health Records (EHRs) data.

Materials and Methods

We developed a robust model that incorporates features strongly indicative of PASC or associated with the severity of COVID-19 symptoms as identified in our literature review. The XGBoost tree-based architecture was chosen for its ability to handle class-imbalanced data and its potential for high interpretability. Using the training data provided by the Long COVID Computation Challenge (L3C), which was a sample of the National COVID Cohort Collaborative (N3C), our models were fine-tuned and calibrated to optimize Area Under the Receiver Operating characteristic curve (AUROC) and the F1 score, following best practices for the class-imbalanced N3C data.

Results

Our age-stratified classification model demonstrated strong performance with an average 5-fold cross-validated AUROC of 0.844 and F1 score of 0.539 across the young adult, mid-aged, and older-aged populations in the training data. In an independent testing dataset, which was made available after the challenge was over, we achieved an overall AUROC score of 0.814 and F1 score of 0.545.

Discussion

The results demonstrated the utility of knowledge-driven feature engineering in a sparse EHR data and demographic stratification in model development to diagnose a complex and heterogeneously presenting condition like PASC. The model's architecture, mirroring natural clinician decision-making processes, contributed to its robustness and interpretability, which are crucial for clinical translatability. Further, the model's generalizability was evaluated over a new cross-sectional data as provided in the later stages of the L3C challenge.

Conclusion

The study proposed and validated the effectiveness of age-stratified, tree-based classification models to diagnose PASC. Our approach highlights the potential of machine learning in addressing the diagnostic challenges posed by the heterogeneity of Long-COVID symptoms.

Altered leukocyte pattern and inflammatory markers in unvaccinated long covid patients: a cross-sectional study

Long Covid results from the damage caused by SARS-CoV-2, involving the release of cytokines and the continuous activation of immune cells. This cross-sectional study investigates leukocyte and cytokine profiles in Long Covid patients in the Amazon, a region where such studies are limited. Blood samples were analysed for differential leukocyte counts and cytokine levels. We suggest elevated lymphocyte counts in hospitalised patients and those with severe COVID-19. Higher eosinophil counts were observed in patients with up to three months of Long Covid, and increased monocyte counts in those with up to six months. IL-2 levels were higher in patients with fewer symptoms and Long Covid duration of more than three months, whereas IL-10 may remain elevated for up to 12 months. We suggest positive correlations between neutrophils, monocytes, eosinophils, and lymphocytes with different cytokines (IFN-γ, IL-6, IL-4, IL-17a, IL-2). Women were associated with lower hospitalisation rates and longer durations of Long Covid; increased lymphocyte counts were linked to hospitalisation due to COVID-19, while higher monocyte counts were associated with Long Covid durations of up to six months. We suggest that Long Covid patients may exhibit alterations in inflammatory markers, indicating a persistently pro-inflammatory microenvironment that tends to diminish after 12 months of Long Covid.

Prevalence and measurement of post-exertional malaise in post-acute COVID-19 syndrome: A systematic review and meta-analysis

OBJECTIVE

Post-exertional malaise (PEM) is a common and debilitating symptom of post-acute COVID-19 syndrome (PACS), and it is also included in the core outcome set for PACS. Our aims are to determine the prevalence of PEM in patients with PACS, and to review the measurement tools utilized in studies assessing PEM among these patients.

METHODS

A systematic literature search was conducted up to 29 February 2024 across four databases: PubMed, EMBASE, Web of Science, and Cochrane Library. Studies were included if they evaluated PACS individuals who had at least one persistent symptom, with the mean or median follow-up duration of at least 3 months after COVID-19 diagnosis or hospital discharge, and specially reported on PEM or any measurement tools utilized to assess PEM. Data extraction and quality assessment were performed independently by two authors.

RESULTS

After screening 953 articles, 12 studies comprising 2665 patients were included in the meta-analysis, and 16 studies were included in the narrative review. The pooled prevalence of PEM among PACS patients at 3 months or more after COVID-19 diagnosis was 0.55 (95 % CI, 0.38, 0.71). Moreover, narrative review identified seven questionnaires used to assess PEM in PACS individuals, with the DePaul Symptom Questionnaire-Post Exertional Malaise (DSQ-PEM) being the most frequently utilized instrument.

CONCLUSION

Our findings indicate that over half of the PACS individuals experience PEM, and seven questionnaires have been identified for researchers to assess PEM. It is imperative to develop effective intervention strategies to treat and alleviate the burden of PEM.

Optimizing cardiopulmonary rehabilitation duration for long COVID patients: an exercise physiology monitoring approach

The presence of prolonged symptoms after COVID infection worsens the workability and quality of life. 200 adults with long COVID syndrome were enrolled after medical, physical, and mental screening, and were divided into two groups based on their performance. The intervention group (n = 100) received supervised rehabilitation at Department of Pulmonology, Semmelweis University with the registration number 160/2021 between 01/APR/2021-31/DEC/2022, while an age-matched control group (n = 100) received a single check-up. To evaluate the long-term effects of the rehabilitation, the intervention group was involved in a 2- and 3-month follow-up, carrying out cardiopulmonary exercise test. Our study contributes understanding long COVID rehabilitation, emphasizing the potential benefits of structured cardiopulmonary rehabilitation in enhancing patient outcomes and well-being. Significant difference was found between intervention group and control group at baseline visit in pulmonary parameters, as forced vital capacity, forced expiratory volume, forced expiratory volume, transfer factor for carbon monoxide, transfer coefficient for carbon monoxide, and oxygen saturation (all p < 0.05). Our follow-up study proved that a 2-week long, patient-centered pulmonary rehabilitation program has a positive long-term effect on people with symptomatic long COVID syndrome. Our data showed significant improvement between two and three months in maximal oxygen consumption (p < 0.05). Multidisciplinary, individualized approach may be a key element of a successful cardiopulmonary rehabilitation in long COVID conditions, which improves workload, quality of life, respiratory function, and status of patients with long COVID syndrome.

Long-term effects of the COVID-19 pandemic for patients with cancer

INTRODUCTION

Long COVID is defined as the continuation of symptoms, unexplainable by alternative diagnosis, longer than four weeks after SARS-CoV-2 infection. These symptoms might hinder daily activities and overall well-being, ultimately impacting quality of life (QoL). Several studies have reported fatigue as the most common symptom, followed by dyspnoea, headache and myalgia. Although it is assumed that long COVID affects 10-20% of SARS-CoV-2 infected individuals, recently numbers up to 60% were described for patients with cancer. This study uncovers the impact of the COVID-19 pandemic on QoL of patients with cancer and how long COVID manifests in this cohort.

METHODS

A group of 96 patients with cancer was followed from March 2022 till March 2023. Online questionnaires assessing symptoms associated with long COVID, anxiety and depression (HADS), quality of life (EORTC-QLQ-C30) and cognitive functioning (CFQ) were sent every three months during this period. Furthermore, a semi-structured focus group was organised for qualitative data collection.

RESULTS

Overall, these patients reported a negative impact of the enforced COVID-19 restrictions on the emotional and psychological wellbeing. Forty nine patients with cancer (51.0%) were infected with SARS-CoV-2 over the course of the study, of which 39 (79.6%) reported long COVID symptoms. The most commonly reported symptoms were myalgia (46.2%), fatigue (38.5%) and disturbed sleep (35.9%) and it was observed that male sex is associated with poor long COVID outcomes.

CONCLUSION

While patients with cancer experience similar long COVID symptoms as healthy controls, the prevalence is remarkably higher possibly due to their compromised immune system and weakened physiological reserve.

Metabolomic characterization of COVID-19 survivors in Jilin province

BACKGROUND

The COVID-19 pandemic has escalated into a severe global public health crisis, with persistent sequelae observed in some patients post-discharge. However, metabolomic characterization of the reconvalescent remains unclear.

METHODS

In this study, serum and urine samples from COVID-19 survivors (n = 16) and healthy subjects (n = 16) underwent testing via the non-targeted metabolomics approach using UPLC-MS/MS. Univariate and multivariate statistical analyses were conducted to delineate the separation between the two sample groups and identify differentially expressed metabolites. By integrating random forest and cluster analysis, potential biomarkers were screened, and the differential metabolites were subsequently subjected to KEGG pathway enrichment analysis.

RESULTS

Significant differences were observed in the serum and urine metabolic profiles between the two groups. In serum samples, 1187 metabolites were detected, with 874 identified as significant (457 up-regulated, 417 down-regulated); in urine samples, 960 metabolites were detected, with 39 deemed significant (12 up-regulated, 27 down-regulated). Eight potential biomarkers were identified, with KEGG analysis revealing significant enrichment in several metabolic pathways, including arginine biosynthesis.

CONCLUSIONS

This study offers an overview of the metabolic profiles in serum and urine of COVID-19 survivors, providing a reference for post-discharge monitoring and the prognosis of COVID-19 patients.

Long COVID Cardiopulmonary Symptoms and Health Resort Treatment: A Retrospective Study

Background/Objectives: Long COVID covers many cardio-pulmonary symptoms, worsening individuals' health status. Health resort treatment applies balneological factors, physical medicine modalities, climate actions, and exercises that may be beneficial for COVID-19 survivors. This study aimed to assess the severity of the cardiopulmonary symptoms in people qualified for health resort treatment and its efficacy in this group of patients. Methods: Medical records of 239 people attending health resort treatment were analysed. A total of 122 people (71 women and 51 men) with a mean age of 64.35 years ± 8.66 years were enrolled in the analysis. The cardiopulmonary symptoms of long COVID were assessed twice: before and after health resort treatment. Results: Persisting COVID-19 symptoms do not differentiate between women and men. Health resort treatment reduces symptoms severity in both sexes. Age does not mediate the efficacy of health resort treatment. Conclusions: The persistent symptoms of COVID-19 are of low intensity in people qualified for health resort treatment and are independent of gender. Health resort treatment effectively mitigates dyspnoea, tightness of chest, and sputum in long COVID patients, so it should be implemented into the standard treatment course for COVID-19 survivors as a continuation of therapy.

Characteristics and Impact of Long COVID at a Neurology Clinic

INTRODUCTION

Long COVID can also lead to neurological sequelae that affect existing diseases. This study explored how COVID-19 infection affects neurological patients and the relationship between long COVID and exacerbating factors.

METHODS

This retrospective study was conducted on 85 patients with neurological diseases after COVID-19 at the Neurology Department, Inje University Busan Paik Hospital, Korea. The data were collected between August and October 2022. The patients had a medical history, including COVID-19 infection, and completed symptom questionnaires. A long COVID questionnaire consisting of 35 inquiries in 10 categories was completed. Anxiety, depression, fatigue, functional difficulties, QOL, and health status changes were assessed.

RESULTS

The analysis comprised 85 participants (age: 56.4 ± 15.2 years; 63.5% women). Of the categories, neurological symptoms (68.2%) were the most prevalent, followed by systemic symptoms (64.7%) and cardiopulmonary symptoms (56.5%). Anxiety, depression, and fatigue symptoms were reported by 36.5%, 34.1%, and 42.4% of the participants. Subjective neurological deterioration after COVID-19 was reported in 28 participants (28/81, 34.6%). Anxiety, depression, and fatigue were influenced by long COVID symptoms and the subjective deterioration of neurological conditions.

CONCLUSION

This study analyzed the long COVID symptoms in patients with preexisting neurological conditions and their impact on mental health and quality of life. One-third of the participants reported a subjective worsening of their preexisting neurological conditions. This study highlights the need for comprehensive follow-ups and a multidisciplinary approach for patients with neurological conditions and prolonged COVID-19 symptoms.

Unraveling the enigma of long COVID: novel aspects in pathogenesis, diagnosis, and treatment protocols

Long COVID, now unmistakably identified as a syndromic entity encompassing a complex spectrum of symptoms, demands immediate resolution of its elusive pathogenic underpinnings. The intricate interplay of diverse factors presents a complex puzzle, difficult to resolve, and thus poses a substantial challenge. As instances of long COVID manifest by repeated infections of SARS-CoV-2 and genetic predisposition, a detailed understanding in this regard is needed. This endeavor is a comprehensive exploration and analysis of the cascading pathogenetic events driven by viral persistence and replication. Beyond its morbidity, long COVID, more disabling than fatal, exacts one of the most substantial tolls on public health in contemporary times, with the potential to cripple national economies. The paper introduces a unified theory of long COVID, detailing a novel pathophysiological framework that interlinks persistent SARS-CoV-2 infection, autoimmunity, and systemic vascular pathology. We posit a model where viral reservoirs, immune dysregulation, and genetic predispositions converge to perpetuate disease. It challenges prevailing hypotheses with new evidence, suggesting innovative diagnostic and therapeutic approaches. The paper aims to shift the paradigm in long COVID research by providing an integrative perspective that encapsulates the multifaceted nature of the condition. We explain the immunological mechanisms, hypercoagulability states, and viral reservoirs in the skull that feed NeuroCOVID in patients with long COVID. Also, this study hints toward a patient approach and how to prioritize treatment sequences in long COVID patients in hospitals and clinics.

Long COVID among Brazilian Adults and Elders 12 Months after Hospital Discharge: A Population-Based Cohort Study

The persistence of symptoms for more than three months following infection with severe acute respiratory syndrome coronavirus 2 is referred to as "Long COVID". To gain a deeper understanding of the etiology and long-term progression of symptoms, this study aims to analyze the prevalence of Long COVID and its associated factors in a cohort of Brazilian adults and elders, twelve months after hospital discharge. An observational, prospective, and follow-up study was performed with a cohort of adults and older adults diagnosed with COVID-19 in 2020 in the State of Paraná, Brazil. Twelve months after hospital discharge, patients answered a phone questionnaire about the persistence of symptoms after three levels of exposure to COVID-19's acute phase (ambulatory, medical ward, and intensive care unit). According to the characteristics of participants, the prevalence of Long COVID-19 was calculated, and logistic regression analyses were conducted. We analyzed data from 1822 participants (980 adults [≥18-<60 years] and 842 older people [≥60 years]) across three exposure levels. The overall Long COVID prevalence was 64.2%. Long COVID was observed in 646 adults (55%; of which 326 were women) and 523 older people (45%; of which 284 were women). Females had a higher prevalence of long-term symptoms (52%) compared with men. The most common post-COVID-19 conditions in the 12-month follow-up were neurological (49.8%), followed by musculoskeletal (35.1%) and persistent respiratory symptoms (26.5%). Male individuals were less likely to develop Long COVID (aOR = 0.50). Other determinants were also considered risky, such as the presence of comorbidities (aOR = 1.41). Being an adult and having been hospitalized was associated with the development of Long COVID. The risk of developing Long COVID was twice as high for ward patients (aOR = 2.53) and three times as high for ICU patients (aOR = 3.56) when compared to non-hospitalized patients. Presenting clinical manifestations of digestive (aOR = 1.56), endocrine (aOR = 2.14), cutaneous (aOR = 2.51), musculoskeletal (aOR = 2.76) and psychological systems (aOR = 1.66) made adults more likely to develop Long COVID. Long COVID was present in a large proportion of people affected by the SARS-CoV-2 infection. Presence of Long COVID symptoms displayed a dose-response relationship with the level of disease exposure, with a greater prevalence of symptoms associated with the severe form in the acute period.

Long-term course of ambulatory patients with COVID-19 initially treated with enoxaparin vs no anticoagulation: final analysis of the OVID (enoxaparin for outpatients with COVID-19) randomized trial

Background

Early thromboprophylaxis does not prevent hospital admissions and death among outpatients with symptomatic COVID-19. Its impact on long-term outcomes, including long COVID symptoms and performance status, is unknown.

Objectives

To assess the long-term effects of thromboprophylaxis given at the time of acute COVID-19 in outpatients.

Methods

The OVID (enoxaparin for outpatients with COVID-19) trial randomized outpatients older than 50 years with acute COVID-19 to receive either subcutaneous enoxaparin 40 mg once daily for 14 days or standard of care (no thromboprophylaxis). In this follow-up study, we assessed the 2-year outcomes, including all-cause hospitalization and death, cardiovascular events, long COVID symptoms, and functional limitations based on the Post-COVID-19 Functional Status (PCFS) scale and EuroQol-5 Dimensions-5 Levels scale.

Results

Of 469 potentially eligible patients, 468 survived, of whom 439 (mean age 59 years; 54% men) participated in the Post-OVID study. There was no difference in terms of hospitalization and death (8.3% in the treatment group vs 10% in controls; relative risk, 0.83; 95% CI, 0.5-1.5) and of cardiovascular events between groups. The risk of presenting with long COVID symptoms was similar in the 2 groups (44% in the treatment group vs 47% in the standard of care group), with no difference between groups also concerning individual symptoms. A PCFS grade of 1 to 3, indicating light-to-moderate functional limitation, was recorded in 15% of patients in each group (odds ratio, 0.98; 95% CI, 0.6-1.7). No patients reported severe limitations (PCFS grade 4). Median EuroQol visual analog scale score was 85 on 100 points (IQR, 80-90 for the standard of care group and 75-90 for the enoxaparin group).

Conclusion

Early thromboprophylaxis does not improve long-term, 2-year clinical and functional outcomes among symptomatic ambulatory patients with acute COVID-19.

The Prevalence and Associated Factors of Post-COVID-19 Fatigue: A Systematic Review and Meta-Analysis

After the coronavirus disease 2019 (COVID-19) pandemic, numerous individuals experienced the enduring consequences of infection. One of the psychological symptoms that patients report most frequently is persistent fatigue, which is also called post-COVID-19 fatigue. This persistent fatigue can prolong recovery time for hospitalized patients and reduce exercise motivation for residents, affecting their health and working conditions. To determine the prevalence and associated factors, we conducted searches in PubMed, Embase, Web of Science, and Cochrane Library, from inception to 27 March 2023, and a total of 38 studies and 17,738 patients were included in this analysis. We analyzed data and estimated publication bias by Egger's test and funnel plot by STATA 14. We summarized the prevalence of post-COVID-19 fatigue and calculated the pooled OR to determine associated factors. This study revealed that the prevalence of fatigue in post-COVID-19 syndrome was 46.6% (95% CI: 38.5%-54.7%). Being female (OR: 0.40, 95% CI: 0.24-0.56), older age (OR: 0.04, 95% CI: 0.01-0.07), clinical severity (OR: 0.66, 95% CI: 0.24-1.09), the number of acute COVID symptoms (OR: 3.23, 95% CI: 1.83-5.69), preexisting hypertension (OR: 1.24, 95% CI: 1.08-1.42), lung disease (OR: 2.71, 95% CI: 1.07-6.89), and depression (OR: 1.55, 95% CI: 1.01-2.39) were risk factors for post-COVID-19 fatigue. By revealing the association of these factors with fatigue, it can help us to identify and treat post-COVID-19 fatigue early.

Outcomes among patients with chronic obstructive pulmonary disease after recovery from COVID-19 infection of different severity

While studies have suggested increased risks of severe COVID-19 infection in chronic obstructive pulmonary disease (COPD), the persistent and delayed consequences of COVID-19 infection on patients with COPD upon recovery remain unknown. A prospective clinical study was conducted in Hong Kong to investigate the persistent and delayed outcomes of patients with COPD who had COVID-19 infection of different severity (mild-moderate COVID-19 and severe COVID-19), compared with those who did not. Chinese patients with COPD ≥ 40 years old were recruited from March to September 2021. They were prospectively followed up for 24.9 ± 5.0 months until 31st August 2023. The primary outcome was the deterioration in COPD control defined as the change in mMRC dyspnea scale. The secondary outcomes included the change in exacerbation frequency and non-COVID-19 respiratory mortality (including death from COPD exacerbation or bacterial pneumonia). 328 patients were included in the analysis. Patients with mild-moderate and severe COVID-19 infection had statistically significant increased risks of worsening of mMRC dyspnoea scale by increase in 1 score from baseline to follow-up with adjusted odds ratios of 4.44 (95% CI = 1.95-10.15, p < 0.001) and 6.77 (95% CI = 2.08-22.00, p = 0.001) respectively. Patients with severe COVID-19 infection had significantly increased risks of increase in severe COPD exacerbation frequency with adjusted odds ratios of 4.73 (95% CI = 1.55-14.41, p = 0.006) non-COVID-19 respiratory mortality from COPD exacerbation or pneumonia with adjusted hazard ratio of 11.25 (95% CI = 2.98-42.45, p < 0.001). After recovery from COVID-19, worsening of COPD control from worsening of dyspnea, increase in severe exacerbation frequency to non-COVID-19 respiratory mortality (COPD exacerbation and pneumonia) was observed among patients with severe COVID-19. Mild to moderate COVID-19 was also associated with symptomatic deterioration.

Malnutrition and the Post-Acute Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 Infection: A Multi-Institutional Population-Based Propensity Score-Matched Analysis

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to a global health crisis, exacerbating issues like malnutrition due to increased metabolic demands and reduced intake during illness. Malnutrition, a significant risk factor, is linked to worse outcomes in patients with COVID-19, such as increased mortality and extended hospital stays. This retrospective cohort study investigated the relationship between malnutrition and clinical outcomes within 90-180 days using data obtained from the TriNetX database. Patients aged >18 years diagnosed with COVID-19 between 1 January 2022, and 31 March 2024 were enrolled in the study. The propensity score-matching (PSM) method was used to match patients with malnutrition (malnutrition group) and those without malnutrition (control group). The primary composite outcome was the cumulative hazard ratio (HR) for post-COVID-19 condition, all-cause hospitalization, and all-cause mortality between 90 days and 180 days after COVID-19 diagnosis. The secondary outcomes were the individual components of the primary outcomes. Two cohorts, each consisting of 15,004 patients with balanced baseline characteristics, were identified using PSM. During the 90-180-day follow-up period, the malnutrition group exhibited a higher incidence of all-cause hospitalization, mortality, or post-COVID-19 condition (HR = 2.315, 95% confidence interval: 2.170-2.471, p < 0.0001). Compared with patients with COVID-19 without malnutrition, those with malnutrition may be associated with a higher risk of adverse clinical outcomes.

Development and validation of a prognostic model for assessing long COVID risk following Omicron wave-a large population-based cohort study

BACKGROUND

Long coronavirus disease (COVID) after COVID-19 infection is continuously threatening the health of people all over the world. Early prediction of the risk of Long COVID in hospitalized patients will help clinical management of COVID-19, but there is still no reliable and effective prediction model.

METHODS

A total of 1905 hospitalized patients with COVID-19 infection were included in this study, and their Long COVID status was followed up 4-8 weeks after discharge. Univariable and multivariable logistic regression analysis were used to determine the risk factors for Long COVID. Patients were randomly divided into a training cohort (70%) and a validation cohort (30%), and factors for constructing the model were screened using Lasso regression in the training cohort. Visualize the Long COVID risk prediction model using nomogram. Evaluate the performance of the model in the training and validation cohort using the area under the curve (AUC), calibration curve, and decision curve analysis (DCA).

RESULTS

A total of 657 patients (34.5%) reported that they had symptoms of long COVID. The most common symptoms were fatigue or muscle weakness (16.8%), followed by sleep difficulties (11.1%) and cough (9.5%). The risk prediction nomogram of age, diabetes, chronic kidney disease, vaccination status, procalcitonin, leukocytes, lymphocytes, interleukin-6 and D-dimer were included for early identification of high-risk patients with Long COVID. AUCs of the model in the training cohort and validation cohort are 0.762 and 0.713, respectively, demonstrating relatively high discrimination of the model. The calibration curve further substantiated the proximity of the nomogram's predicted outcomes to the ideal curve, the consistency between the predicted outcomes and the actual outcomes, and the potential benefits for all patients as indicated by DCA. This observation was further validated in the validation cohort.

CONCLUSIONS

We established a nomogram model to predict the long COVID risk of hospitalized patients with COVID-19, and proved its relatively good predictive performance. This model is helpful for the clinical management of long COVID.

Efficacy and safety of hyperbaric oxygen therapy for long COVID: a protocol for systematic review and meta-analysis

INTRODUCTION

There is still a lack of therapeutic options for long COVID. Several studies have shown the benefit of hyperbaric oxygen therapy (HBOT) on long COVID. However, the efficacy and safety of HBOT for long COVID remain unclear. Therefore, we will conduct this systematic review to assess the feasibility of HBOT as a primary or complemental therapy for long COVID.

METHODS AND ANALYSIS

Databases such as Web of Science, PubMed, Embase, Cochrane Database of Systematic Reviews, ClinicalTrials.gov, International Clinical Trials Registry Platform, Wanfang Database, China National Knowledge Infrastructure, SINOMED, VIP Database and the Chinese Clinical Trial Registry will be searched systematically from the establishment to 9 December 2023. All articles will be reviewed by two independent reviewers. Cochrane risk of bias tool will be used to assess the risk of bias in the study. We will evaluate heterogeneity using a visual inspection of the funnel plot. If an available number of studies are identified, we will perform a meta-analysis.

ETHICS AND DISSEMINATION

No ethical approval is required since this study is based on published articles. The findings will be published in a peer-reviewed journal or disseminated through conference presentations.

PROSPERO REGISTRATION NUMBER

CRD42023482523.

Host factors of SARS-CoV-2 in infection, pathogenesis, and long-term effects

SARS-CoV-2 is the causative virus of the devastating COVID-19 pandemic that results in an unparalleled global health and economic crisis. Despite unprecedented scientific efforts and therapeutic interventions, the fight against COVID-19 continues as the rapid emergence of different SARS-CoV-2 variants of concern and the increasing challenge of long COVID-19, raising a vast demand to understand the pathomechanisms of COVID-19 and its long-term sequelae and develop therapeutic strategies beyond the virus per se. Notably, in addition to the virus itself, the replication cycle of SARS-CoV-2 and clinical severity of COVID-19 is also governed by host factors. In this review, we therefore comprehensively overview the replication cycle and pathogenesis of SARS-CoV-2 from the perspective of host factors and host-virus interactions. We sequentially outline the pathological implications of molecular interactions between host factors and SARS-CoV-2 in multi-organ and multi-system long COVID-19, and summarize current therapeutic strategies and agents targeting host factors for treating these diseases. This knowledge would be key for the identification of new pathophysiological aspects and mechanisms, and the development of actionable therapeutic targets and strategies for tackling COVID-19 and its sequelae.

In Silico and In Vitro Evaluation of the Molecular Mimicry of the SARS-CoV-2 Spike Protein by Common Short Constituent Sequences (cSCSs) in the Human Proteome: Toward Safer Epitope Design for Vaccine Development

Spike protein sequences in SARS-CoV-2 have been employed for vaccine epitopes, but many short constituent sequences (SCSs) in the spike protein are present in the human proteome, suggesting that some anti-spike antibodies induced by infection or vaccination may be autoantibodies against human proteins. To evaluate this possibility of "molecular mimicry" in silico and in vitro, we exhaustively identified common SCSs (cSCSs) found both in spike and human proteins bioinformatically. The commonality of SCSs between the two systems seemed to be coincidental, and only some cSCSs were likely to be relevant to potential self-epitopes based on three-dimensional information. Among three antibodies raised against cSCS-containing spike peptides, only the antibody against EPLDVL showed high affinity for the spike protein and reacted with an EPLDVL-containing peptide from the human unc-80 homolog protein. Western blot analysis revealed that this antibody also reacted with several human proteins expressed mainly in the small intestine, ovary, and stomach. Taken together, these results showed that most cSCSs are likely incapable of inducing autoantibodies but that at least EPLDVL functions as a self-epitope, suggesting a serious possibility of infection-induced or vaccine-induced autoantibodies in humans. High-risk cSCSs, including EPLDVL, should be excluded from vaccine epitopes to prevent potential autoimmune disorders.

Long-Term Impairment of Working Ability in Subjects under 60 Years of Age Hospitalised for COVID-19 at 2 Years of Follow-Up: A Cross-Sectional Study

Background: Coronavirus disease 2019 (COVID-19) can lead to persistent and debilitating symptoms referred to as Post-Acute sequelae of SARS-CoV-2 infection (PASC) This broad symptomatology lasts for months after the acute infection and impacts physical and mental health and everyday functioning. In the present study, we aimed to evaluate the prevalence and predictors of long-term impairment of working ability in non-elderly people hospitalised for COVID-19. Methods: This cross-sectional study involved 322 subjects hospitalised for COVID-19 from 1 March 2020 to 31 December 2022 in the University Hospital of Bari, Apulia, Italy, enrolled at the time of their hospital discharge and followed-up at a median of 731 days since hospitalization (IQR 466-884). Subjects reporting comparable working ability and those reporting impaired working ability were compared using the Mann-Whitney test (continuous data) and Fisher's test or Chi-Square test (categorical data). Multivariable analysis of impaired working ability was performed using a logistic regression model. Results: Among the 322 subjects who were interviewed, 184 reported comparable working ability (57.1%) and 134 reported impaired working ability (41.6%) compared to the pre-COVID-19 period. Multivariable analysis identified age at hospital admission (OR 1.02, 95% CI 0.99 to 1.04), female sex (OR 1.90, 95% CI 1.18 to 3.08), diabetes (OR 3.73, 95% CI 1.57 to 9.65), receiving oxygen during hospital stay (OR 1.76, 95% CI 1.01 to 3.06), and severe disease (OR 0.51, 95% CI 0.26 to 1.01) as independent predictors of long-term impaired working ability after being hospitalised for COVID-19. Conclusions: Our findings suggest that PASC promotes conditions that could result in decreased working ability and unemployment. These results highlight the significant impact of this syndrome on public health and the global economy, and the need to develop clinical pathways and guidelines for long-term care with specific focus on working impairment.

Can We Use the Maximum Phonation Time as a Screening of Pulmonary Forced Vital Capacity in Post-COVID-19 Syndrome Patients?

OBJECTIVE

To verify the accuracy of the maximum phonation time of the vowel /a/ (MPT/a/), fricative /s/ (MPT/s/), number counting (MPTC), and number reached in this count (CN) to estimate forced vital capacity (FVC) in patients with post-COVID-19 syndrome.

METHOD

Cross-sectional study involving adult patients, who were admitted to the intensive care unit and referred to the Post-COVID-19 Rehabilitation Outpatient Clinic. Voice function was assessed using a Vocal Handicap Index (VHI) self-assessment questionnaire and MPT tests. To perform the phonatory tests, the patients remained in a standing posture and were instructed to inhale as much air as possible and, during a single exhalation, at usual pitch and loudness, sustain the emission of /a/ and /s/; and in another breath, to perform the ascending numerical count, starting from the number one up to the highest number they could reach. Pulmonary function was assessed by spirometry. The receiver operating characteristic (ROC) curve was plotted, and FVC values lower than the normal limit by Z-score (fifth percentile) were classified as impaired lung function. The predictive values and likelihood ratios were calculated.

RESULTS

A total of 70 patients participated, with 20-30% having a high VHI. Approximately 24% had an FVC impairment and significantly low values of MPT/a/, MPT/s/, MPTC, and CN. The test results showed overall accuracy of 70% and the cutoff points of 9.69, 6.78, 10.60, and 13, respectively, with high sensitivity, predictive negative value and low specificity, predictive positive value, and positive likelihood ratio.

CONCLUSIONS

Our results suggest that the MPT has moderate discriminatory power for FVC impairment, indicating that it is not a reliable indicator of pulmonary function in the population studied. Therefore, in patients with an MPT of less than 10.60 seconds, or a CN lower than 13, other criteria should be added to improve the diagnostic accuracy and support the decision to perform more complex investigations.

Precision nutrition to reset virus-induced human metabolic reprogramming and dysregulation (HMRD) in long-COVID

SARS-CoV-2, the etiological agent of COVID-19, is devoid of any metabolic capacity; therefore, it is critical for the viral pathogen to hijack host cellular metabolic machinery for its replication and propagation. This single-stranded RNA virus with a 29.9 kb genome encodes 14 open reading frames (ORFs) and initiates a plethora of virus-host protein-protein interactions in the human body. These extensive viral protein interactions with host-specific cellular targets could trigger severe human metabolic reprogramming/dysregulation (HMRD), a rewiring of sugar-, amino acid-, lipid-, and nucleotide-metabolism(s), as well as altered or impaired bioenergetics, immune dysfunction, and redox imbalance in the body. In the infectious process, the viral pathogen hijacks two major human receptors, angiotensin-converting enzyme (ACE)-2 and/or neuropilin (NRP)-1, for initial adhesion to cell surface; then utilizes two major host proteases, TMPRSS2 and/or furin, to gain cellular entry; and finally employs an endosomal enzyme, cathepsin L (CTSL) for fusogenic release of its viral genome. The virus-induced HMRD results in 5 possible infectious outcomes: asymptomatic, mild, moderate, severe to fatal episodes; while the symptomatic acute COVID-19 condition could manifest into 3 clinical phases: (i) hypoxia and hypoxemia (Warburg effect), (ii) hyperferritinemia ('cytokine storm'), and (iii) thrombocytosis (coagulopathy). The mean incubation period for COVID-19 onset was estimated to be 5.1 days, and most cases develop symptoms after 14 days. The mean viral clearance times were 24, 30, and 39 days for acute, severe, and ICU-admitted COVID-19 patients, respectively. However, about 25-70% of virus-free COVID-19 survivors continue to sustain virus-induced HMRD and exhibit a wide range of symptoms that are persistent, exacerbated, or new 'onset' clinical incidents, collectively termed as post-acute sequelae of COVID-19 (PASC) or long COVID. PASC patients experience several debilitating clinical condition(s) with >200 different and overlapping symptoms that may last for weeks to months. Chronic PASC is a cumulative outcome of at least 10 different HMRD-related pathophysiological mechanisms involving both virus-derived virulence factors and a multitude of innate host responses. Based on HMRD and virus-free clinical impairments of different human organs/systems, PASC patients can be categorized into 4 different clusters or sub-phenotypes: sub-phenotype-1 (33.8%) with cardiac and renal manifestations; sub-phenotype-2 (32.8%) with respiratory, sleep and anxiety disorders; sub-phenotype-3 (23.4%) with skeleto-muscular and nervous disorders; and sub-phenotype-4 (10.1%) with digestive and pulmonary dysfunctions. This narrative review elucidates the effects of viral hijack on host cellular machinery during SARS-CoV-2 infection, ensuing detrimental effect(s) of virus-induced HMRD on human metabolism, consequential symptomatic clinical implications, and damage to multiple organ systems; as well as chronic pathophysiological sequelae in virus-free PASC patients. We have also provided a few evidence-based, human randomized controlled trial (RCT)-tested, precision nutrients to reset HMRD for health recovery of PASC patients.

Gender differences in symptomatology, socio-demographic information and quality of life in Spanish population with long COVID condition: a cross-sectional study

Introduction

Long COVID patients experience a decrease in their quality of life due to the symptomatology produced by the disease. It is also important to understand how long COVID affects both men and women. The objective of this study is to examine the impact of long COVID symptomatology on the quality of life of Spanish adults from a gender perspective.

Methods

An observational and cross-sectional study was carried out. Participants were able to complete an online questionnaire using an online platform. A sample of 206 people participated in the study.

Results

The 80.6% of the sample were women with a mean age of 46.51 (±8.28) and the 19.4% were men with a mean age of 48.03 (±9.50). The medium score in the PAC19-QoL test was 141.47 (±24.96) and segmented by gender, 141.65 (±23.95) for women and 140.82 (±28.66) for men. The most common symptoms in women were muscle and joint pain (94.6%), fatigue (94.0%), discomfort (92.2%), difficulty concentrating (91.0%), and memory loss (88.6%). For men the symptoms included muscle and joint pain (97.5%) and fatigue (97.5%) both occupying first position, discomfort (92.0%), difficulty concentrating (90.0%), mood disturbances (90.0%), and memory loss (87.5%). The chi-square test showed statistical significance (p < 0.005) for socio-demographic information, quality of life scores, and long COVID symptoms by intensities.

Conclusion

This study shows that there are gender differences in the way that long COVID is experienced.

Short- and Long-Term Chest-CT Findings after Recovery from COVID-19: A Systematic Review and Meta-Analysis

While ground-glass opacity, consolidation, and fibrosis in the lungs are some of the hallmarks of acute SAR-CoV-2 infection, it remains unclear whether these pulmonary radiological findings would resolve after acute symptoms have subsided. We conducted a systematic review and meta-analysis to evaluate chest computed tomography (CT) abnormalities stratified by COVID-19 disease severity and multiple timepoints post-infection. PubMed/MEDLINE was searched for relevant articles until 23 May 2023. Studies with COVID-19-recovered patients and follow-up chest CT at least 12 months post-infection were included. CT findings were evaluated at short-term (1-6 months) and long-term (12-24 months) follow-ups and by disease severity (severe and non-severe). A generalized linear mixed-effects model with random effects was used to estimate event rates for CT findings. A total of 2517 studies were identified, of which 43 met the inclusion (N = 8858 patients). Fibrotic-like changes had the highest event rate at short-term (0.44 [0.3-0.59]) and long-term (0.38 [0.23-0.56]) follow-ups. A meta-regression showed that over time the event rates decreased for any abnormality (β = -0.137, p = 0.002), ground-glass opacities (β = -0.169, p < 0.001), increased for honeycombing (β = 0.075, p = 0.03), and did not change for fibrotic-like changes, bronchiectasis, reticulation, and interlobular septal thickening (p > 0.05 for all). The severe subgroup had significantly higher rates of any abnormalities (p < 0.001), bronchiectasis (p = 0.02), fibrotic-like changes (p = 0.03), and reticulation (p < 0.001) at long-term follow-ups when compared to the non-severe subgroup. In conclusion, significant CT abnormalities remained up to 2 years post-COVID-19, especially in patients with severe disease. Long-lasting pulmonary abnormalities post-SARS-CoV-2 infection signal a future public health concern, necessitating extended monitoring, rehabilitation, survivor support, vaccination, and ongoing research for targeted therapies.

Association between vitamin D deficiency and post-acute outcomes of SARS-CoV-2 infection

OBJECTIVES

This study aimed to investigate the association between vitamin D deficiency (VDD) and post-acute outcomes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

METHODS

This retrospective study used the TriNetX research network to identify COVID-19 patients between January 1 and November 30, 2022. Patients were matched using propensity score matching (PSM) and divided into VDD (< 20 ng/mL) and control (≥ 20 ng/mL) groups. The primary outcome was a composite of post-COVID-19 condition (identified by ICD-10 code), all-cause emergency department (ED) visits, hospitalization, and death during the follow-up period (90-180 days) after the diagnosis of COVID-19.

RESULTS

From an initial recruitment of 42,674 non-hospitalized patients with COVID-19 and known 25(OH)D status, a VDD group of 8300 was identified and propensity matched with 8300 controls. During the follow-up period, the VDD group had a higher risk of the primary outcome than did the control group [hazard ratio (HR) = 1.122; 95% confidence interval (CI) = 1.041-1.210]. The VDD group also had a higher risk of all-cause ED visits (HR = 1.114; 95% CI = 1.012-1.226), all-cause hospitalization (HR = 1.230; 95% CI = 1.105-1.369), and all-cause death (HR = 1.748; 95% CI = 1.047-2.290) but not post-COVID-19 condition (HR = 0.980; 95% CI = 0.630-1.523), individually.

CONCLUSION

Among the COVID-19 patients, VDD might be associated with a higher risk of all-cause ED visits, hospitalization, and death during the post-acute phase.

The moderated-mediation role of risk perception and intolerance of uncertainty in the association between residual symptoms and psychological distress: a cross-sectional study after COVID-19 policy lifted in China

BACKGROUND

A considerable number of individuals infected with COVID-19 experience residual symptoms after the acute phase. However, the correlation between residual symptoms and psychological distress and underlying mechanisms are scarcely studied. We aim to explore the association between residual symptoms of COVID-19 and psychological distress, specifically depression, anxiety, and fear of COVID-19, and examine the role of risk perception and intolerance of uncertainty in the association.

METHODS

A cross-sectional survey was conducted by online questionnaire-based approach in mid-January 2023. Self-reported demographic characteristics, COVID-19-related information, and residual symptoms were collected. Depression, anxiety, fear, risk perception and intolerance of uncertainty were evaluated using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Fear of COVID-19 Scale (FCV-19S), COVID-19 Risk Perception Scale and Intolerance of Uncertainty Scale-12 (IUS-12), respectively. Linear regression analyses were conducted to explore the associations. A moderated mediation model was then constructed to examine the role of risk perception of COVID-19 and intolerance of uncertainty in the association between residual symptoms and psychological distress.

RESULTS

1735 participants effectively completed the survey. 34.9% of the patients experienced residual symptoms after acute phase of COVID-19. Psychological distress was markedly increased by COVID-19 infection, while residual symptoms had a significant impact on psychological distress (Ps < 0.001), including depression (β = 0.23), anxiety (β = 0.21), and fear of COVID-19 (β = 0.14). Risk perception served as a mediator between residual symptoms and all forms of psychological distress, while intolerance of uncertainty moderated the effect of risk perception on depression and anxiety.

CONCLUSION

A considerable proportion of patients experience residual symptoms after acute phase of COVID-19, which have a significant impact on psychological distress. Risk perception and intolerance of uncertainty play a moderated-mediation role in the association between residual symptoms and depression/anxiety. It highly suggests that effective treatment for residual symptoms, maintaining appropriate risk perception and improving intolerance of uncertainty are critical strategies to alleviate COVID-19 infection-associated psychological distress.

Effects of pulmonary rehabilitation on ventilation dynamics measured during exertion in patients with post-acute COVID-19 syndrome: A cross-sectional observational study

BACKGROUND

Pulmonary rehabilitation (PR) is recommended in people with post-acute COVID-19 syndrome (PACS), although there is a lack of studies evaluating its benefits via the most commonly used primary endpoint: the six-minute walk test (6MWT). This study evaluated the effects of PR on the dynamics of ventilation measured during the 6MWT in patients with PACS and, secondarily, evaluated the association of these findings with measures of lung function and structure.

METHODS

This was an observational cross-sectional study of patients with PACS, in which 33 had undergone PR (PR-PACS group) and 32 had not undergone PR (NPR-PACS group). These patients underwent Spiropalm®-equipped 6MWT with measurement of inspiratory capacity (IC) to evaluate dynamic hyperinflation (DH). In addition, they performed spirometry, impulse oscillometry (IOS) and lung ultrasound (LUS).

RESULTS

Spirometry was abnormal in 21.2% and 31.3% of participants in the PR-PACS and NPR-PACS groups, respectively (p = 0.36). IOS was abnormal in 28.6% and 66.7% of participants in the PR-PACS and NPR-PACS groups, respectively (p = 0.003). LUS was altered in 39.4% and 43.8% of the participants in the PR-PACS and NPR-PACS groups, respectively (p = 0.72). The 6-min walk distance (6MWD) was greater in the PR-PACS group than in the NPR-PACS group (p = 0.001]. HD was observed in 6.1% and 37.5% of participants in the PR-PACS and NPR-PACS groups, respectively, with a significant difference in ΔIC (p<0.001). The 6MWD correlated significantly with several IOS parameters and with ΔIC.

CONCLUSIONS

Patients with PACS undergoing PR perform better in the 6MWT, with a higher 6MWD and less HD. In these patients, IOS is able to distinguish the effects of PR that are not differentiated by spirometry or LUS. Furthermore, the better the respiratory mechanics assessed by IOS and the less DH there was, the higher the performance in the 6MWT.

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.

Echocardiographic function evaluation in adolescents following BNT162b2 Pfizer-BioNTech mRNA vaccination: A preliminary prospective study

BACKGROUND

Vaccination against coronavirus disease 2019 (COVID-19) is crucial for preventing and minimizing illness. Myocarditis and pericarditis after messenger RNA (mRNA) COVID-19 vaccination in adolescents and young adult males have been reported. Most of the studies in this area rely on retrospective symptom reporting, especially for adolescents experiencing myocarditis as a potential side effect. However, prospective postvaccination echocardiographic evaluation is rare.

METHODS

The study enrolled adolescents aged 12 to 15 years who received the second dose of the BNT162b2 Pfizer-BioNTech mRNA (BNT) vaccine. Serial echocardiographic examinations were conducted at baseline before vaccination, followed by subsequent assessments on days 2, 7, 14, and 28 to identify any notable differences or abnormal changes in cardiac function. Clinical symptom assessments were also recorded during each follow-up.

RESULTS

The study included 25 adolescents, comprising 14 males and 11 females, who completed the four follow-ups. Their mean age was 14 ± 1 years. The average interval between the first and second BNT vaccine doses was 90 ± 7 days. Ejection fraction values were 73.8% ± 5.2% at baseline, followed by 75.7% ± 5.3%, 75.5% ± 4.6%, 75.7% ± 4.5%, and 77.8% ± 5.8% at day 2, 7, 14, and 28, respectively. The cardiac function remained stable across all time points, with no significant differences observed between male and female participants. Within postvaccination 48 hours, 18 (72%) of the enrolled adolescents experienced temporary discomfort symptoms, which completely resolved by the final follow-up on the 28th day after vaccination.

CONCLUSION

Although adolescents vaccinated with the second dose of BNT vaccine commonly experienced transient postvaccination discomfort, the serial echocardiographic examinations did not reveal any significant deterioration of cardiac function within 28 days. Further studies are required to investigate the incidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) mRNA vaccination-associated myocarditis in adolescents and the related mechanisms.

Impact of Long COVID on Health-Related Quality of Life Among Patients After Acute COVID-19 Infection: A Cross-Sectional Study

Concerns have been raised globally regarding the long-term effects of the novel coronavirus disease 2019 (COVID-19). This study aimed to investigate the impact of long COVID on the health of patients recovering from acute COVID-19 in China. We conducted a cross-sectional questionnaire survey from 1 February to 9 March 2023. Propensity score matching (PSM) was used to understand the differences in health utility values between individuals with and without long COVID. Factors associated with health-related quality of life (HRQoL) were determined using a multiple linear regression model. A chi-square test was used to compare differences between the 2 groups for each dimension of the EuroQoL-5 Dimension-5 Level (EQ-5D-5L) scale. In total, 307 participants were included in the analysis, of which 40.39% exhibited at least 1 persistent symptom. The common symptoms of long COVID were fatigue/weakness, coughing, memory decline, poor concentration, and phlegm in the throat. Most patients with long COVID reported mild effects from their symptoms. After propensity score matching, the long-COVID group had lower health utility scores than the non-long-COVID group (0.94 vs 0.97). In the multivariable linear regression analysis, persistent symptoms and low annual household income were associated with lower health utility values (P < .05). Anxiety/depression and pain/discomfort were the major problems experienced by the participants with long COVID. Long-COVID symptoms following acute COVID-19 infection have a serious impact on health-related quality of life. Therefore, it is necessary to implement interventions to improve patient health after the recovery from acute COVID-19.

Impact of Paxlovid on in-hospital outcomes and post-COVID-19 condition in adult patients infected with SARS-CoV-2 Omicron variant: A non-randomized controlled clinical trial

BACKGROUND

Nirmatrelvir plus ritonavir (Paxlovid) have been used in the treatment of adult patients with mild-to-moderate coronavirus disease 2019 (COVID-19). This study aimed to evaluate the impact of Paxlovid on in-hospital outcomes and post-COVID-19 condition in Chinese adult patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant.

METHODS

This non-randomized clinical controlled trial recruited patients infected with SARS-CoV-2 Omicron variant from the designated hospital for treating COVID-19 between November 5 and November 28, 2022, in Shijiazhuang, China. Participants were administered Paxlovid (300 mg of nirmatrelvir and 100 mg of ritonavir orally) or standard treatment. The primary outcome was the nucleic acid shedding time and post-COVID-19 condition.

RESULTS

A total of 320 patients infected with SARS-CoV-2 Omicron variant were included, with mean age of 29.10 ± 7.34 years old. Two hundred patients received Paxlovid. Compared to patients in the standard treatment group, those in Paxlovid group had a significantly shorter nucleic acid shedding time (3.26 ± 1.80 vs 7.75 ± 3.68 days, P < .001), shorter days until negative swab test (1.74 ± 1.15 vs 5.33 ± 2.91, P < .001), shorter days of first symptoms resolution (4.86 ± 1.62 vs 7.45 ± 2.63, P < .001), higher in nucleic acid test negative rate within 3 days [138 (70.77%) vs 14 (11.67%), P < .001], higher negative rate within 5 days [174 (89.23%) vs 26 (21.67%), P < .001], negative rate within 7 days [185 (94.87%) vs 78 (65.00%), P < .001], and were less likely to have post-COVID-19 condition [32 (18.60%) vs 30 (31.57%), P = .016]. There was no significant difference in duration of post-COVID-19 condition (43.00 ± 26.00 vs 49.00 ± 26.34 days, P = .354) between the 2 groups.

CONCLUSION

Compared to standard treatment, Paxlovid significantly reduced nucleic acid shedding time, days until negative swab test, and days of first symptoms resolution, as well as improved nucleic acid test negative rate and post-COVID-19 condition.

Inflammatory and Prothrombotic Biomarkers Contribute to the Persistence of Sequelae in Recovered COVID-19 Patients

The presence of long COVID (LC) following SARS-CoV-2 infection is a common condition that affects the quality of life of patients and represents a diagnostic challenge due to the diversity of symptoms that may coexist. We still do not have accurate information regarding the pathophysiological pathways that generate the presence of LC, and so it is important to know the inflammatory and immunothrombotic biomarker profiles and their implications in order to characterize risk subgroups and establish early therapeutic strategies. We performed the determination of inflammatory and immunothrombotic biomarkers in volunteers with previous diagnoses of SARS-CoV-2. The inflammatory biomarkers were analyzed in plasma by flow cytometry, and we analyzed the von Willebrand factor (vWF) in the plasma samples using ELISA. The clinical variables and the presence or absence of long COVID symptoms were then analyzed. IL-6, sCD40L, p-Selectin, PSGL-1, PAI-1, tPA, D-Dimer, TF, and Factor IX levels were elevated in the groups with LC, especially in the subgroup of patients with metabolic syndrome (MetS). VWF levels were found to be increased in patients with sequelae and MetS. Our results confirmed the persistence of an active immunothrombotic state, and so it is important to identify the population at risk in order to provide adequate clinical follow-up.

Comparison of post-acute sequelae following hospitalization for COVID-19 and influenza

BACKGROUND

Few studies have directly compared the risk and magnitude of post-acute sequelae following COVID-19 and influenza, and most of these studies were conducted before emergence of the Omicron. This study investigated the prevalence of post-COVID conditions and the long-term risk of emergency department (ED) visits, hospitalizations, and deaths in patients with COVID-19 and compared their risk with that of patients with influenza.

METHODS

A retrospective study based on the TriNetX databases, a global health research network. We identified patients with COVID-19 and influenza who required hospitalization between January 1, 2022, and January 1, 2023. We compared the risk of developing any post-COVID conditions between the two groups and also analyzed each post-COVID-19 condition and all-cause ED visits, hospitalizations, and deaths in both populations during the follow-up 90-180 days.

RESULTS

Before matching, 7,187 patients with COVID-19 were older (63.9 ± 16.7 vs. 55.4 ± 21.2) and were predominantly male (54.0% vs. 45.4%), and overweight/obese (16.1% vs. 11.2%) than 11,266 individuals with influenza. After propensity score matching, 6,614 patients were identified in each group, resulting in well-balanced baseline characteristics. During follow-up, the COVID-19 group had a higher incidence of any post-COVID-19 condition when compared with the influenza group (17.9% vs. 13.0%), with a hazard ratio (HR) of 1.398 (95% CI, 1.251-1.562). Compared to the influenza group, the COVID-19 group had a significantly higher incidence of abnormal breathing (HR, 1.506; 95% CI, 1.246-1.822), abdominal symptoms (HR, 1.313; HR, 1.034-1.664), fatigue (HR, 1.486; 95% CI, 1.158-1.907), and cognitive symptoms (HR, 1.815; 95% CI, 1.235-2.668). Moreover, the COVID-19 group had a significantly higher risk of the composite outcomes during all-cause ED visits, hospitalizations, and deaths when compared with the influenza group (27.5% vs. 21.7; HR, 1.303; 95% CI, 1.194-1.422).

CONCLUSIONS

This study indicates that hospitalized COVID-19 patients are at a higher risk of long-term complications when compared with influenza survivors.

Applying the WHO ICF framework to long COVID patients with persistent respiratory symptoms

Objectives

The aim of this study was to evaluate long COVID patients with persistent respiratory symptoms through the application of the World Health Organization (WHO) International Classification of Functioning, Disability and Health (ICF) framework.

Patients and methods

This national, prospective, multicenter, cross-sectional study was conducted with 213 patients (118 females, 95 males; median age 56 years; range, 20 to 85 years) with long COVID between February 2022 and November 2022. The ICF data were primarily collected through patient interviews and from the acute medical management records, physical examination findings, rehabilitation outcomes, and laboratory test results. Each parameter was linked to the Component Body Functions (CBF), the Component Body Structures (CBS), the Component Activities and Participation (CAP), the Component Environmental Factors (CEF), and Personal Factors according to the ICF linking rules. Analysis was made of the frequency of the problems encountered at each level of ICF category and by what percentage of the patient sample.

Results

In the ICF, 21 categories for CBF, 1 category for CBS, and 18 categories of CAP were reported as a significant problem in a Turkish population of long COVID patients with persistent respiratory symptoms. Furthermore, eight categories for CEF were described as a facilitator, and four as a barrier.

Conclusion

These results can be of guidance and provide insight into the identification of health and health-related conditions of long COVID patients with persistent respiratory symptoms beyond the pathophysiological aspects, organ involvement, and damage of COVID-19. The ICF can be used in patients with long COVID to describe the types and magnitude of impairments, restrictions, special needs, and complications.