Long covid-mechanisms, risk factors, and management

The risk factors for long term cardiovascular symptoms in patients after coronavirus disease 2019 infection

INTRODUCTION

Presently, numerous studies have demonstrated that long-term cardiovascular changes after Coronavirus Disease 2019(COVID-19) infection should be considered. The study was aimed to explore the risk factors for post COVID-19 long-term cardiovascular symptoms.

METHODS

This retrospective observational cross-sectional study involved 204 COVID-19 patients who were admitted to Yantaishan Hospital from January 1, 2023 to January 31, 2023. Demographic and laboratory data were collected and compared between patients who experienced post COVID-19 long-term cardiovascular symptoms and those who did not. Logistic regression analysis was used to identify the risk factors associated with the occurrence of post COVID-19 long-term cardiovascular symptoms.

RESULTS

Fifty-two participants presented Post COVID-19 cardiovascular symptoms, while the remaining 152 individuals did not show any such symptoms including chest pain, chest tightness, shortness of breath, palpitations, dyspnea, exercise intolerance, and postural tachycardia syndrome. In comparison to the group without post COVID-19 long-term cardiovascular symptoms, the group with post COVID-19 long-term cardiovascular symptoms exhibited a significantly higher prevalence of anxiety and depression (25.0% vs. 4.6%, p = 0.000), as well as significantly elevated C-reactive protein (42.3 mg/L vs. 20.3 mg/L, p = 0.014) and D-dimer (0.3 mg/L vs. 0.22 mg/L, p = 0.024). Anxiety and depression (odds ratio [OR] = 6.403, 95% confidence interval [CI]:2.180-18.809, p = 0.001), C-reactive protein (OR = 1.009, 95%CI:1.003-1.015, p = 0.006), D-dimer (OR = 1.455, 95%CI:1.004-2.109, p = 0.048), and LDL-C (OR = 1.780, 95%CI:1.043-3.040, p = 0.035) were identified as independent risk factors for post COVID-19 long-term cardiovascular symptoms.

CONCLUSION

Anxiety and depression, C-reactive protein, D-dimer, and LDL-C levels are associated with the development of post COVID-19 long-term cardiovascular symptoms.

Differential associations between SARS-CoV-2 infection, perceived burden of the pandemic and mental health in the German population-based cohort for digital health research

Understanding the potential adverse effects of the COVID-19-pandemic on mental health remains a challenge for public health. Differentiation between potential consequences of actual infection with SARS-CoV-2 and the subjective burden of the pandemic due to measures and restrictions to daily life still remains elusive. Therefore, we investigated the differential association between infection with SARS-Cov-2 and subjective burden of the pandemic in a study cohort of 7601 participants from the German population-based cohort for digital health research (DigiHero), who were recruited between March 4th and April 25th 2022. Data was collected using the online survey tool LimeSurvey® between March and October 2022 in consecutive surveys, which included questionnaires on infection status and symptoms following COVID-19 as well as retrospective assessment of the subjective burden of the pandemic. We observed an association of a past SARS-CoV-2 infection on deteriorated mental health related symptoms, whereas no association or interaction with burden of the pandemic occurred. The association was driven by participants with persistent symptoms 12 weeks after infection. On a symptom specific level, neuropsychiatric symptoms such as exhaustion and fatigue, concentration deficits and problems with memory function were the primary drivers of the association with small effect sizes between 0.048 and 0.062 ηp2.

Long COVID Among People With Preexisting Disabilities

Objectives. To document the prevalence of long COVID among a sample of survey respondents with long-term disabilities that existed before 2020 and to compare the prevalence among this group with that among the general population. Methods. We conducted a cross-sectional, descriptive study using data from the 2022 National Survey on Health and Disability (n = 2262) and comparative data for the general population from the federal Household Pulse Survey (HPS). Results. The prevalence of long COVID was higher among people with preexisting disabilities than in the general population (40.6% vs 18.9%). Conclusions. People with preexisting disabilities experienced and continue to experience increased exposure to COVID-19 and barriers to accessing health care, COVID-19 vaccines, and COVID-19 tests. These barriers, combined with long-standing health disparities in this population, may have contributed to the greater prevalence of long COVID among people with disabilities. Public Health Implications. The needs of people with disabilities must be centered in the response to the COVID-19 pandemic and future pandemics. (Am J Public Health. 2024;114(11):1261-1264. https://doi.org/10.2105/AJPH.2024.307794).

A systematic analysis of neurologic manifestations of Long COVID in Nigeria

Long COVID, also called post-acute sequelae of SARS-CoV-2 infection (PASC) affects millions of people in the world. The neurologic manifestations of PASC (Neuro-PASC) are among the most debilitating but they are largely unreported in Africa. We sought to compare the demographics, symptoms and cognitive profile of post-hospitalization Neuro-PASC (PNP) and non-hospitalized Neuro-PASC (NNP) patients in Nigeria. In this cross-sectional study performed at the Lagos University Teaching Hospital, 106/2319 (4.6%) SARS-CoV-2 positive individuals contacted via telephone reported Neuro-PASC symptoms with a higher frequency in PNP than in NNP individuals ((23/200 (11.5%) vs. 83/2119 (3.9%), p = < 0.0001). The predominant neurologic symptoms at any time during the disease course were difficulty remembering / brain fog (63/106; 59.4%), fatigue (59/106; 55.7%), sleep problems (34/106; 32%), headache (33/106; 31%), paresthesia (12/106; 11.3%), and myalgia (10/106; 9.4%). Of 66 participants with Neuro-PASC who underwent in-person neurological evaluation and cognitive screening, all had normal scores on the Intervention for Dementia in Elderly Africans cognition screen, while 11/65 (16.9%) that completed the Montreal Cognitive Assessment had results consistent with mild cognitive impairment (3/16 PNP (18.8%) and 8/49 NNP (16.3%); p = 1.0). Finally, 47/66 (71.2%) had digit span test scores consistent with mild cognitive dysfunction (12/16 PNP (75%) and 35/50 (70%) NNP; p = 1.0). Our findings reveal the previously unrecognized occurrence of Neuro-PASC among COVID-19 survivors in Nigeria and highlight the need for improved screening and diagnosis of Neuro-PASC in our population. Development of cognitive support services for persons suffering from Neuro-PASC in Nigeria is warranted.

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

BACKGROUND

Up to 30% of people infected with SARS-CoV-2 report disabling symptoms 2 years after the infection. Over 100 persistent symptoms have been associated with Post-Acute COVID-19 Symptoms (PACS) and/or long-COVID, showing a significant clinical heterogeneity. To develop effective, patient-targeted treatment, a better understanding of underlying mechanisms is needed. Epigenetics has helped elucidating the pathophysiology of several health conditions and it might help unravelling inter-individual differences in patients with PACS and long-COVID. As accumulating research is exploring epigenetic mechanisms in PACS and long-COVID, we systematically summarized the available literature on the topic.

METHODS

We interrogated five databases (Medline, Embase, Web of Science, Scopus and medXriv/bioXriv) and followed PRISMA and SWiM guidelines to report our results.

RESULTS

Eight studies were included in our review. Six studies explored DNA methylation in PACS and/or long-COVID, while two studies explored miRNA expression in long-COVID associated with lung complications. Sample sizes were mostly small and study quality was low or fair. The main limitation of the included studies was a poor characterization of the patient population that made a homogeneous synthesis of the literature challenging. However, studies on DNA methylation showed that mechanisms related to the immune and the autonomic nervous system, and cell metabolism might be implicated in the pathophysiology of PACS and long-COVID.

CONCLUSION

Epigenetic changes might help elucidating PACS and long-COVID underlying mechanisms, aid subgrouping, and point towards tailored treatments. Preliminary evidence is promising but scarce. Biological and epigenetic research on long-COVID will benefit millions of people suffering from long-COVID and has the potential to be transferable and benefit other conditions as well, such as Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). We urge future research to employ longitudinal designs and provide a better characterization of included patients.

Differences in brain structure and cognitive performance between patients with long-COVID and those with normal recovery

BACKGROUND

The pathophysiology of protracted symptoms after COVID-19 is unclear. This study aimed to determine if long-COVID is associated with differences in baseline characteristics, markers of white matter diffusivity in the brain, and lower scores on objective cognitive testing.

METHODS

Individuals who experienced COVID-19 symptoms for more than 60 days post-infection (long-COVID) (n = 56) were compared to individuals who recovered from COVID-19 within 60 days of infection (normal recovery) (n = 35). Information regarding physical and mental health, and COVID-19 illness was collected. The National Institute of Health Toolbox Cognition Battery was administered. Participants underwent magnetic resonance imaging (MRI) with diffusion tensor imaging (DTI). Tract-based spatial statistics were used to perform a whole-brain voxel-wise analysis on standard DTI metrics (fractional anisotropy, axial diffusivity, mean diffusivity, radial diffusivity), controlling for age and sex. NIH Toolbox Age-Adjusted Fluid Cognition Scores were used to compare long-COVID and normal recovery groups, covarying for Age-Adjusted Crystallized Cognition Scores and years of education. False discovery rate correction was applied for multiple comparisons.

RESULTS

There were no significant differences in age, sex, or history of neurovascular risk factors between the groups. The long-COVID group had significantly (p < 0.05) lower mean diffusivity than the normal recovery group across multiple white matter regions, including the internal capsule, anterior and superior corona radiata, corpus callosum, superior fronto-occiptal fasciculus, and posterior thalamic radiation. However, the effect sizes of these differences were small (all β<|0.3|) and no significant differences were found for the other DTI metrics. Fluid cognition composite scores did not differ significantly between the long-COVID and normal recovery groups (p > 0.05).

CONCLUSIONS

Differences in diffusivity between long-COVID and normal recovery groups were found on only one DTI metric. This could represent subtle areas of pathology such as gliosis or edema, but the small effect sizes and non-specific nature of the diffusion indices make pathological inference difficult. Although long-COVID patients reported many neuropsychiatric symptoms, significant differences in objective cognitive performance were not found.

Accumulated subcutaneous fat in abdomen is associated with long COVID-19 symptoms among non-hospitalized patients: a prospective observational study

Introduction

Long COVID-19 symptoms may have a variety of potential overlapping causes. In this study, we aimed to investigate the potential correlation between abdominal adipose tissue and long COVID-19 symptoms in non-hospitalized patients in China.

Methods

This is a prospective observational study. 424 subjects, recovered from COVID-19 for 2-4 weeks, were enrolled and 408 subjects were finished the follow-up investigation at baseline, 8th week and 12th week. Physical measurements were collected. Kaplan-Meier analysis and cox regression analysis were carried out to assess the correlation.

Results

A total of 72 subjects reported the long COVID-19 symptoms. The adjusted Kaplan-Meier analysis and Cox regression analysis revealed a significant correlation with accumulated subcutaneous fat (SFA ≥ 2.0 dm2) and the long COVID-19 symptoms (HR = 2.63, P < 0.001 for male, HR = 1.52, P = 0.048 for female). However, overweight and central obesity showed positive correlation only in women.

Discussion

This study suggested that accumulated subcutaneous fat in abdomen (SFA ≥ 2.0 dm2) was an important positive factor associated with long COVID-19 symptoms among Chinese non-hospitalized patients. Large investigation and prospective studies are needed to validate the correlation in the future.

Self-reported Health Service Utilization and Barriers to Care Among US Adults with a History of Post COVID-19 Condition

BACKGROUND

Millions of US adults continue to experience symptoms of post COVID-19 condition (PCC). More data on health service utilization patterns and barriers to care in this population are needed to understand how to care for people with PCC.

OBJECTIVE

To evaluate health service utilization and barriers to medical care among individuals with a history of PCC compared with other US adults.

DESIGN

Data were analyzed from the 2022 National Health Interview Survey (NHIS), a nationally representative, cross-sectional survey of the US population.

PARTICIPANTS

US adults.

MAIN MEASURES

Health service utilization and the presence of financial and nonfinancial barriers to care in the preceding 12 months.

KEY RESULTS

There were 24,905 individuals included in the analysis, representing approximately 230 million US adults. The weighted prevalence of those with a history of PCC was 6.9% (95%CI, 6.5-7.3). Compared to other US adults, participants with a history of PCC were more likely to have had an urgent care visit (adjusted odds ratio (aOR) 1.52 [95%CI, 1.34-1.72]), emergency room visit (aOR 1.94 [95%CI 1.71-2.21]), hospitalization (aOR 1.48 [95%CI, 1.24-1.77]), rehabilitation services (aOR 1.35 [95%CI, 1.14-1.60]), home care (aOR 1.55 [95%CI, 1.66-2.26]), mental health counseling (aOR 1.39 [95%CI, 1.17-1.65]), and complementary and integrative medicine services (aOR 1.29 [95%CI, 1.13-1.49]). Furthermore, respondents with a history of PCC were more likely to report at least one financial barrier to care (aOR 1.71 [95%CI, 1.48-1.97]) and at least one nonfinancial barrier (aOR 1.77 [95%CI, 1.56-2.00]). A greater proportion of participants with a history of PCC reported a financial barrier and nonfinancial barrier than adults with most other chronic conditions captured by NHIS.

CONCLUSIONS

Individuals with a history of PCC were more likely to use a variety of health services and report barriers to medical care. Health systems should consider developing accessible, multidisciplinary care pathways for this population.

Long-term COVID-19 sequelae by Theta and SARS-CoV-2 variants in a Philippine cohort

Introduction

Millions have been infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) since its emergence in 2019, but most patients make a full recovery. The long-term consequences of the infection are anticipated to unravel in the succeeding years with reports of patients experiencing chronic, debilitating sequelae post-infection commonly referred to as Long COVID. Various Variants of Concern (VoCs) have emerged as the SARS-CoV-2 virus evolved displaying increased infectivity and immune evasiveness. We investigate whether the infecting VoCs affect the sequelae of Long COVID in a Philippine cohort.

Methods

SARS-CoV-2 cases confirmed using RT-PCR followed by Next Generation Sequencing were identified from selected regions of the Philippines and recruited through a retrospective-prospective cohort design. Participants were divided based on the initial infecting VoC or Variant of Interest (VoI) and were subsequently interviewed regarding the presence, intensity, and frequency of key Long COVID symptoms, and followed up on two more separate sessions at least three (3) months apart for a total of three (3) data collection points (S1, S2, S3) to document changes in symptoms throughout the year-long study period.

Results

Long COVID symptoms were reported in 88, 82, and 68% of participants in S1, S2, and S3, respectively, showing declining incidence with elapsed time since the first reported infection. General symptoms including headache, fatigue, and post-exertional malaise were the most frequently reported symptoms, while neuropsychiatric symptoms were the second most frequently reported symptoms. In all three (3) sessions, intermittent brain fog, fatigue, and headache were the most frequently reported symptoms in all SARS-CoV-2 variant cohorts. Factors such as age, sex, comorbidities, and disease severity influenced symptom frequency, providing insight into the risk factors that contribute to the prevalence of this disease.

Conclusion

A large proportion (>68%) of cases in this Philippine cohort previously infected with different SARS-CoV-2 variants presented with long-term complications of COVID-19 characterized by a highly heterogeneous set of debilitating symptoms. The study highlights the need for long-term monitoring of Long COVID and its impact on human health and the need for our health systems to adopt policy response strategies.

Post-COVID-19 Condition Fatigue Outcomes Among Danish Residents

Importance

Fatigue remains one of the most common and debilitating symptoms of post-COVID-19 condition; however, existing studies are limited to select populations and often lack noninfected controls. It also remains unclear to what extent severity of infection and psychiatric conditions, which are often linked to chronic fatigue, modify the risk of post-COVID-19 condition fatigue symptoms.

Objective

To evaluate the impact of SARS-CoV-2 infection on self-reported fatigue and postexertional malaise over time and to explore possible risk factors, such as the impact of acute SARS-CoV-2 hospitalization and preexisting psychiatric conditions on postacute fatigue.

Design, Setting, and Participants

In this cohort study, Danish residents aged 15 years and older were invited to participate in the EFTER-COVID survey, which used repeated, self-reported online questionnaires that collected information on fatigue (Fatigue Assessment Scale) and postexertional malaise scores (DePaul Symptom Questionnaire) after individuals' index SARS-CoV-2 polymerase chain reaction test. Participants were included if they completed a baseline and at least 1 follow-up questionnaire 2 to 18 months after testing for SARS-CoV-2.

Exposure

Testing for SARS-CoV-2 infection.

Main Outcomes and Measures

The primary outcomes were fatigue and postexertional malaise 2 to 18 months after testing. Mixed-effects models were used to compare scores between SARS-CoV-2 test-positive and test-negative individuals (testing period April 2021 to February 2023).

Results

Of a total of 50 115 participants (median [IQR] age at test date, 57 [46-67] years; 29 774 female [59.4%]), 25 249 were test positive and 24 866 were test negative. Most participants were vaccinated with at least 2 doses (21 164 test-negative participants [85.1%] and 22 120 test-positive participants [87.6%]) before their SARS-CoV-2 index test and fatigue reporting. In the period 2 to 18 months after testing, SARS-CoV-2 infection was associated with a small but significant 3% increase in self-reported fatigue scores (score ratio [SR], 1.03; 95% CI, 1.03-1.04) and higher odds of self-reported postexertional malaise (odds ratio, 2.04; 95% CI, 1.81-2.30), compared with test-negative participants. In the same period, hospitalization with SARS-CoV-2 increased fatigue scores by 23% (SR, 1.23; 95% CI, 1.20-1.26) compared with test-negative participants. Preexisting psychiatric conditions did not significantly modify postacute fatigue scores.

Conclusions and Relevance

In this cohort study, SARS-CoV-2 infection was associated with a subtle increase in self-reported fatigue and postexertional malaise symptoms 2 to 18 months after mild infection. In contrast, individuals hospitalized with acute SARS-CoV-2 experienced a more substantial increase in postacute symptoms. Preexisting psychiatric conditions did not significantly modify the risk of postacute fatigue symptoms. The findings largely captured symptoms following first-time infections in a population where most had been vaccinated. Persons who experienced severe acute infection may benefit from clinical follow-up for fatigue.

Long-term manifestations of COVID-19 in athletes: a narrative review

BACKGROUND

Long COVID is a condition where symptoms or complications persist beyond 3 months after COVID-19 infection. Although most athletes experience mild symptoms, those involved in sports with higher cardiovascular demands can develop long COVID, which can negatively impact sports performance. This narrative review aimed to analyze the long COVID in athletes, especially cardiovascular effects; to alert medical and sporting community for the clinical aftermaths of COVID-19, focusing on physical activity; and to discuss the potential return-to-play strategies for these athletes.

METHODS

An electronic search in PubMed database for articles published between January/2020 and February/2023 was performed including athletic populations with COVID-19, emphasizing long-term complications, especially the cardiovascular effects.

RESULTS AND CONCLUSIONS

While severe cardiac complications are rare, athletes with long COVID often experience symptoms such as fatigue, dyspnea, palpitations, and exercise intolerance. To manage athletes with long COVID, individualized and structured return-to-play programs with the involvement of multidisciplinary teams are crucial. This underscores the importance of recognizing long COVID in athletes, raising awareness of its potential impacts, and implementing strategies to ensure a safe return to play.

Somatosensory processing in long COVID fatigue and its relations with physiological and psychological factors

Fatigue is prevalent amongst people with long COVID, but is poorly understood. The sensory attenuation framework proposes that impairments in sensory processing lead to heightened perception of effort, driving fatigue. This study aims to investigate the role of somatosensory processing impairments in long COVID fatigue and quantify how sensory processing relates to other prominent symptoms of long COVID including autonomic dysfunction, mood and illness beliefs in driving the experience of fatigue. We will recruit 44 individuals with long COVID fatigue and 44 individuals with neither long COVID nor fatigue (controls). Our primary objective is to compare baseline somatosensory processing between individuals with long COVID fatigue and controls. Additionally, we will explore the associations between somatosensory processing, fatigability and the level of fatigue induced by cognitive and physical exertion. Due to the complex nature of fatigue, we will also investigate how long COVID, state fatigue, perceived effort, mood, illness beliefs, autonomic symptoms and autonomic nervous system function interact to predict trait fatigue. This comprehensive investigation aims to elucidate how sensory processing and other prominent symptoms interact to impact the experience of fatigue.

Psychosocial Aspects of the Lived Experience of Long COVID: A Systematic Review and Thematic Synthesis of Qualitative Studies

BACKGROUND

Despite increasing recognition of long COVID, the psychosocial impacts of the lived experience on individuals remain underexplored. This systematic review sought to fill this gap by identifying key themes that describe the psychosocial dimensions of long COVID.

OBJECTIVE

The aim of this study is to identify key themes illustrating the psychosocial aspects of individuals' lived experience of long COVID.

SEARCH STRATEGY

Searches were conducted in multiple databases and grey literature sources for qualitative studies published between November 2019 and June 2024.

INCLUSION CRITERIA

Eligible studies involved adult participants self-reporting long COVID. The studies needed to provide qualitative data that could be synthesised thematically.

DATA EXTRACTION AND SYNTHESIS

Data extraction and thematic synthesis were conducted by at least two independent reviewers at each stage. Quality appraisal was performed using the Critical Appraisal Skills Programme tool.

RESULTS

The review included 34 studies. Thematic synthesis yielded five themes: 'Debilitation', 'Uncertainty', 'Sources of Support', 'Meaning Making: Adjusting to a New Normal' and 'Experiences with Healthcare Services'. Individuals with long COVID reported experiencing physical, economic, and social challenges. Uncertainty and scepticism from others caused anxiety. Support from healthcare services, friends and online groups played an important role. Acceptance and gratitude were found to be meaningful in adjusting to the new normal. Experiences with healthcare services varied.

DISCUSSION AND CONCLUSIONS

This review provides valuable insights into the psychosocial impact of long COVID, highlighting the profound changes and challenges that individuals face. Healthcare services should adopt a holistic approach to integrate psychosocial support within their management strategies, to improve overall patient outcomes.

Prevalence, risk factors and characterisation of individuals with long COVID using Electronic Health Records in over 1.5 million COVID cases in England

OBJECTIVES

This study examines clinically confirmed long-COVID symptoms and diagnosis among individuals with COVID in England, aiming to understand prevalence and associated risk factors using electronic health records. To further understand long COVID, the study also explored differences in risks and symptom profiles in three subgroups: hospitalised, non-hospitalised, and untreated COVID cases.

METHODS

A population-based longitudinal cohort study was conducted using data from 1,554,040 individuals with confirmed SARS-CoV-2 infection via Clinical Practice Research Datalink. Descriptive statistics explored the prevalence of long COVID symptoms 12 weeks post-infection, and Cox regression models analysed the associated risk factors. Sensitivity analysis was conducted to test the impact of right-censoring data.

RESULTS

During an average 400-day follow-up, 7.4% of individuals with COVID had at least one long-COVID symptom after acute phase, yet only 0.5% had long-COVID diagnostic codes. The most common long-COVID symptoms included cough (17.7%), back pain (15.2%), stomach-ache (11.2%), headache (11.1%), and sore throat (10.0%). The same trend was observed in all three subgroups. Risk factors associated with long-COVID symptoms were female sex, non-white ethnicity, obesity, and pre-existing medical conditions like anxiety, depression, type II diabetes, and somatic symptom disorders.

CONCLUSIONS

This study is the first to investigate the prevalence and risk factors of clinically confirmed long-COVID in the general population. The findings could help clinicians identify higher risk individuals for timely intervention and allow decision-makers to more efficiently allocate resources for managing long-COVID.

Body Mass Index and Postacute Sequelae of SARS-CoV-2 Infection in Children and Young Adults

Importance

Obesity is associated with increased severity of COVID-19. Whether obesity is associated with an increased risk of post-acute sequelae of SARS-CoV-2 infection (PASC) among pediatric populations, independent of its association with acute infection severity, is unclear.

Objective

To quantify the association of body mass index (BMI) status before SARS-CoV-2 infection with pediatric PASC risk, controlling for acute infection severity.

Design, Setting, and Participants

This retrospective cohort study occurred at 26 US children's hospitals from March 2020 to May 2023 with a minimum follow-up of 179 days. Eligible participants included children and young adults aged 5 to 20 years with SARS-CoV-2 infection. Data analysis was conducted from October 2023 to January 2024.

Exposures

BMI status assessed within 18 months before infection; the measure closest to the index date was selected. The BMI categories included healthy weight (≥5th to <85th percentile for those aged 5-19 years or ≥18.5 to <25 for those aged >19 years), overweight (≥85th to <95th percentile for those aged 5-19 years or ≥25 to <30 for for those aged >19 years), obesity (≥95th percentile to <120% of the 95th percentile for for those aged 5-19 years or ≥30 to <40 for those aged >19 years), and severe obesity (≥120% of the 95th percentile for those aged 5-19 years or ≥40 for those aged >19 years).

Main Outcomes And Measures

To identify PASC, a diagnostic code specific for post-COVID-19 conditions was used and a second approach used clusters of symptoms and conditions that constitute the PASC phenotype. Relative risk (RR) for the association of BMI with PASC was quantified by Poisson regression models, adjusting for sociodemographic, acute COVID severity, and other clinical factors.

Results

A total of 172 136 participants (mean [SD] age at BMI assessment 12.6 [4.4] years; mean [SD] age at cohort entry, 13.1 [4.4] years; 90 187 female [52.4%]) were included. Compared with participants with healthy weight, those with obesity had a 25.4% increased risk of PASC (RR, 1.25; 95% CI, 1.06-1.48) and those with severe obesity had a 42.1% increased risk of PASC (RR, 1.42; 95% CI, 1.25-1.61) when identified using the diagnostic code. Compared with those with healthy weight, there was an increased risk for any occurrences of PASC symptoms and conditions among those with obesity (RR, 1.11; 95% CI, 1.06-1.15) and severe obesity (RR, 1.17; 95% CI, 1.14-1.21), and the association held when assessing total incident occurrences among those with overweight (RR, 1.05; 95% CI, 1.00-1.11), obesity (RR, 1.13; 95% CI, 1.09-1.19), and severe obesity (RR, 1.18; 95% CI, 1.14-1.22).

Conclusions And Relevance

In this cohort study, elevated BMI was associated with a significantly increased PASC risk in a dose-dependent manner, highlighting the need for targeted care to prevent chronic conditions in at-risk children and young adults.

The hidden crisis: Long COVID's association with housing stability and home accessibility among people with disabilities

BACKGROUND

The COVID-19 pandemic has given rise to the emerging phenomenon known as Long COVID, characterized by persistent symptoms long after the acute infection has passed. However, the relationship of Long COVID on housing stability and home accessibility remains underexplored.

OBJECTIVE

This manuscript aims to comprehensively examine the association of Long COVID on housing stability and accessibility, identifying challenges faced by people with Long COVID and potential strategies to address them.

METHODS

The study employs a cross-sectional mixed-methods approach, combining quantitative and qualitative methods. It analyzes data from 1533 people with disabilities, 514 with Long COVID and 1019 without Long COVID, to compare demographics, housing stability, financial concerns, housing problems, and home accessibility. Qualitative analysis extracts thematic insights from 13 participant narratives.

RESULTS

Individuals with Long COVID exhibit significantly higher rates of housing instability (21.1 % v. 8.1 %, p < 0.001) and financial concerns, such as worries about high rent or mortgage (50.4 % v. 40.0 %, p < 0.001), compared to those without Long COVID. They also report more frequent issues with pests (30.0 % v. 23.5 %, p < 0.01) and mold (22.0 % v. 12.7 %, p < 0.001) in their homes. Qualitative analysis reveals financial setbacks, difficulties in obtaining support, and the challenges of home accessibility.

CONCLUSIONS

Associations between Long COVID and challenges related to housing stability and home accessibility highlight the need for systemic changes, financial support, and advocacy. This research contributes to understanding Long COVID's challenges, informing policy development, and promoting compassionate responses, ensuring the well-being of people with Long COVID.

Prevalence and impact of persistent symptoms following SARS-CoV-2 infection among healthcare workers: A cross-sectional survey in the SIREN cohort

INTRODUCTION

Following SARS-CoV-2 infection, some patients experience a range of long-lasting symptoms, with a specific burden on their lives and ability to work.

AIM

We describe the prevalence and impact of persistent symptoms pre-/post-vaccination in SIREN study participants.

METHODS

A cross-sectional study of SARS-CoV-2 positive participants was carried out within SIREN, a frequently tested UK healthcare worker cohort with vaccination and demographic data available. Participants with a SARS-CoV-2 positive PCR or anti-SARS-CoV-2 sample between 01 March 2020 and 31 September 2022 were asked via a questionnaire about symptoms and days absent from work following infection. Responses were excluded if infection dates were inconsistent with study records or missing key data. Symptom type/duration and whether infection occurred pre-/post-vaccination and during which variant period were described. Logistic regression was used to estimate factors associated with persistent symptoms (>12 weeks), adjusting for vaccination and demographic factors. The median days absent from work were also determined.

RESULTS

Of 16,599 invitations, 6677 participants responded, and 5053 were included in the analysis. The prevalence of persistent symptoms (symptoms lasting over 12 weeks) differed by infection episode; highest for first infections (32.7%; 1557/4767) compared to second (21.6%; 214/991) and third infections (21.6%; 16/74). Most frequently reported symptoms were fatigue, tiredness, shortness of breath and difficulty concentrating. A higher prevalence of persistent symptoms was reported during the Wild-type variant period compared to the other variant periods (52.9% Wild-type vs. 20.7% Omicron, for any symptom reported during their first infection). Overall, persistent symptoms were higher among unvaccinated participants (unvaccinated 38.1% vs vaccinated 22.0%). Multivariable analysis showed that participants were less likely to report persistent symptoms in infections occurring after vaccination compared to those with an infection before vaccination in the Alpha/Delta and Omicron periods (Alpha/Delta: adjusted Odds Ratio (aOR) 0.66, CI 95% 0.51-0.87, p = aOR 0.07, CI 95% 0.01-0.65, p = 0.02). About half of participants reported that their persistent symptoms impacted their day-to-day (51.8%) and work-related (42.1%) activities 'a little', and 24.0% and 14.4% reported that the impact was 'A lot'. 8.9% reported they had reduced their working hours, and 13.9% had changed their working pattern.

DISCUSSION

Persistent symptoms were frequent in our cohort, and there was a reduction in symptom duration in those with multiple infection episodes during later variant periods and post-vaccination. The impact of persistent symptoms resulting in reducing working hours or adjusting working patterns has important implications for workforce resilience. UK healthcare workers were highly exposed during the pandemic, demonstrating a significant burden.

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.

Interaction between economic status and healthy lifestyle in long COVID among Chinese older population: a cross-sectional study

OBJECTIVES

To estimate the interaction between economic status (ES) and healthy lifestyle in long COVID among Chinese older people infected with SARS-CoV-2.

DESIGN

A cross-sectional study based on the Peking University Health Cohort in Anning, Yunnan.

SETTING

All primary health institutions in Anning, Yunnan Province, China, from April to May 2023.

PARTICIPANTS

A total of 4804 people aged 60 and older infected with SARS-CoV-2 were included in this study.

PRIMARY AND SECONDARY OUTCOME MEASURES

Long COVID was measured by participants' self-reported symptoms using structured questionnaires. ES was measured by last-month personal income, and participants' ES was defined as low if their income was below the per capita monthly income of local residents. Lifestyle score was equal to the number of healthy behaviours (including smoking, drinking, weight, exercise and diet) and grouped using the median score as the cut-off point. Univariate and multivariate logistic models were employed to estimate the association of ES with long COVID. Interaction between ES and lifestyle in long COVID was assessed by multiplicative interaction term.

RESULTS

We enrolled a total of 4804 participants infected with SARS-CoV-2, of whom 57.3% (2754 of 4804) had at least one long COVID symptom. Fatigue (1546, 56.1%), cough (1263, 45.9%) and muscle pain (880, 32.0%) were the top three common symptoms. Patients with low ES had a 48% (adjusted OR: 1.48; 95% CI 1.22, 1.82) increased risk of long COVID. A significant interaction was observed between ES and lifestyle (p value for interaction <0.001) in long COVID.

CONCLUSION

The interaction between ES and healthy lifestyle in long COVID was prominent. Comprehensive strengthened economic support for patients recovering from COVID-19, especially for those with low healthy lifestyle, should be implemented to prevent and manage long COVID symptoms.

A Pilot Study on the Effects of Exercise Training on Cardiorespiratory Performance, Quality of Life, and Immunologic Variables in Long COVID

Objectives: Fatigue is a prominent feature of long COVID (LC) and may be related to several pathophysiologic mechanisms, including immune hyperstimulation. Aerobic endurance exercise training may be a useful therapy, with appropriate attention to preventing post-exertional malaise. Methods: Fourteen participants completed a pilot study of aerobic exercise training (twenty 1.5 h sessions of over 10 weeks). Cardiorespiratory fitness, 6 min walk distance, quality of life, symptoms, 7-day physical activity, immunophenotype, and inflammatory biomarkers were measured before and after exercise training. Results: The participant characteristics at baseline were as follows: 53.5 ± 11.6 yrs, 53% f, BMI 32.5 ± 8.4, 42% ex-smokers, 15.1 ± 8.8 months since initial COVID-19 infection, low normal pulmonary function testing, V.O2peak 19.3 ± 5.1 mL/kg/min, 87 ± 17% predicted. After exercise training, participants significantly increased their peak work rate (+16 ± 20 W, p = 0.010) and V.O2peak (+1.55 ± 2.4 mL/kg/min, p = 0.030). Patients reported improvements in fatigue severity (-11%), depression (-42%), anxiety (-29%), and dyspnea level (-46%). There were no changes in 6MW distance or physical activity. The circulating number of CD3+, CD4+, CD19+, CD14++CD16, and CD16++CD14+ monocytes and CD56+ cells (assessed with flow cytometry) increased with acute exercise (rest to peak) and was not diminished or augmented by exercise training. Plasma concentrations of TNF-α, IL-6, IL-8, IL-10, INF-γ, and INF-λ were normal at study entry and not affected by training. Conclusions: Aerobic endurance exercise training in individuals with LC delivered beneficial effects on cardiorespiratory fitness, quality of life, anxiety, depression, and fatigue without detrimental effects on immunologic function.

The Role of ACE2 in Neurological Disorders: From Underlying Mechanisms to the Neurological Impact of COVID-19

Angiotensin-converting enzyme 2 (ACE2) has become a hot topic in neuroscience research in recent years, especially in the context of the global COVID-19 pandemic, where its role in neurological diseases has received widespread attention. ACE2, as a multifunctional metalloprotease, not only plays a critical role in the cardiovascular system but also plays an important role in the protection, development, and inflammation regulation of the nervous system. The COVID-19 pandemic further highlights the importance of ACE2 in the nervous system. SARS-CoV-2 enters host cells by binding to ACE2, which may directly or indirectly affect the nervous system, leading to a range of neurological symptoms. This review aims to explore the function of ACE2 in the nervous system as well as its potential impact and therapeutic potential in various neurological diseases, providing a new perspective for the treatment of neurological disorders.

The Long Haul to Surgery: Long COVID Has Minimal Burden on Surgical Departments

Many patients infected with the SARS-CoV-2 virus (COVID-19) continue to experience symptoms for weeks to years as sequelae of the initial infection, referred to as "Long COVID". Although many studies have described the incidence and symptomatology of Long COVID, there are little data reporting the potential burden of Long COVID on surgical departments. A previously constructed database of survey respondents who tested positive for COVID-19 was queried, identifying patients reporting experiencing symptoms consistent with Long COVID. Additional chart review determined whether respondents had a surgical or non-routine invasive procedure on or following the date of survey completion. Outcomes from surgeries on patients reporting Long COVID symptoms were compared to those from asymptomatic patients. A total of 17.4% of respondents had surgery or a non-routine invasive procedure in the study period. A total of 48.8% of these patients reported experiencing symptoms consistent with Long COVID. No statistically significant differences in surgical outcomes were found between groups. The results of this analysis demonstrate that Long COVID does not appear to have created a significant burden of surgical disease processes on the healthcare system despite the wide range of chronic symptoms and increased healthcare utilization by this population. This knowledge can help guide surgical operational resource allocation as a result of the pandemic and its longer-term sequelae.

A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation

BACKGROUND

A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in clinical natural language processing (NLP). While a multitude of approaches to NLP exist, current algorithm development approaches have limitations that can slow the development process. These limitations are exacerbated when the task is emergent, as is the case currently for NLP extraction of signs and symptoms of COVID-19 and postacute sequelae of SARS-CoV-2 infection (PASC).

OBJECTIVE

This study aims to highlight the current limitations of existing NLP algorithm development approaches that are exacerbated by NLP tasks surrounding emergent clinical concepts and to illustrate our approach to addressing these issues through the use case of developing an NLP system for the signs and symptoms of COVID-19 and PASC.

METHODS

We used 2 preexisting studies on PASC as a baseline to determine a set of concepts that should be extracted by NLP. This concept list was then used in conjunction with the Unified Medical Language System to autonomously generate an expanded lexicon to weakly annotate a training set, which was then reviewed by a human expert to generate a fine-tuned NLP algorithm. The annotations from a fully human-annotated test set were then compared with NLP results from the fine-tuned algorithm. The NLP algorithm was then deployed to 10 additional sites that were also running our NLP infrastructure. Of these 10 sites, 5 were used to conduct a federated evaluation of the NLP algorithm.

RESULTS

An NLP algorithm consisting of 12,234 unique normalized text strings corresponding to 2366 unique concepts was developed to extract COVID-19 or PASC signs and symptoms. An unweighted mean dictionary coverage of 77.8% was found for the 5 sites.

CONCLUSIONS

The evolutionary and time-critical nature of the PASC NLP task significantly complicates existing approaches to NLP algorithm development. In this work, we present a hybrid approach using the Open Health Natural Language Processing Toolkit aimed at addressing these needs with a dictionary-based weak labeling step that minimizes the need for additional expert annotation while still preserving the fine-tuning capabilities of expert involvement.

Reduced autonomic function in patients with long-COVID-19 syndrome is mediated by cardiorespiratory fitness

BACKGROUND

Long-COVID-19 syndrome (LCS) exhibits neurological problems such as peripheral neuropathy and autonomic nervous system (ANS) dysfunction. Exercise intolerance and, consequently, low cardiorespiratory fitness (CRF) are some of the most common symptoms of LCS. We describe a series of individuals exhibiting LCS symptoms compared to a control group and posit that this condition may be related to the exercise capacity-mediated disruption of the ANS resulting particularly in exercise intolerance.

METHODS

This study included 87 individuals with LCS and 71 control participants without COVID-19 diagnoses. Heart rate variability (HRV) in supine position is commonly measured to diagnose autonomic dysregulation and subsequently analyzed using the Kubios software (Kuopio, Finland). CRF (peak VO2), post-COVID-19 patient-reported symptoms, maximal muscle strength (grip strength, bilateral leg press, leg extension, pectoral press, and back press exercises), and body composition were also measured. Analysis of covariance (ANCOVA) and mediation analysis were employed to assess the associations among LCS, peak VO2, and HRV indicators. Two-sided p < 0.05 was considered as significant.

RESULTS

The HRV parameters-RR interval, RMSSD, SDNN, PNS index, LF, HF, total power, SD1, and SD2-were significantly elevated (p < 0.05) in the control group when compared to the LCS patients. In contrast, the HR, stress index, and SNS index parameters were significantly higher (p < 0.05) in the LCS group. When adjusted for RR intervals, these parameters remained statistically significant (p < 0.05). A partially mediated effect was found between peak VO2 and RMSSD (mediation effect = 24.4%) as well as peak VO2 and SDNN (mediation effect = 25.1%) in the LCS patients.

CONCLUSIONS

These findings contribute new insights on the interplay between CRF and HRV indicators as well as endorse that dysautonomia may be related to the low peak VO2 observed in long COVID-19 patients.

Biosound Therapy as a treatment for long COVID patients: A pre-post pilot study

BACKGROUND

43 % of people who are diagnosed with COVID-19 will experience persistent symptoms, also known as "long COVID," which lasts past the recovery of the acute infection. Long COVID symptoms overlap with symptoms that the Biosound Therapy System (BTS) has been shown to improve. The BTS is a multimodal treatment that includes biofeedback, vibroacoustic therapy synchronized with music that plays binaural beats, and video content. This study aimed to determine feasibility for a future full-scale Randomized Controlled Trial (RCT) and explore the impact of the BTS on long COVID symptoms.

METHODS

This pre-post pilot study was conducted in an outpatient mental health clinic. Adults aged 20-65 years old with persistent COVID-19 symptoms were screened and randomly assigned to the intervention or control group. The intervention group was given 8 Biosound Therapy sessions during a period of 4 weeks. All participants were assessed at baseline and at post-intervention using the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder 7-item scale (GAD-7), Cambridge Brain Sciences (CBS) tasks, and the COVID-19 Persistent Symptom Questionnaire. The feasibility outcomes were recruitment rates, retention rates, and open-ended questions about participants' experiences.

RESULTS

15 participants enrolled in the study and 13 completed the study (9 intervention, 4 control). Trial recruitment ended prematurely due to the emergence of the Omicron variant of COVID-19. Participants responded to open-ended questions with only positive remarks and made no comments on the study not being feasible. A Wilcoxon signed-rank test indicated that compared to baseline, participants in the intervention group had significant improvement in their GAD-7 score, PHQ9 score, 2 Cambridge Brain Science tasks ("Odd" and "Double Trouble"), fatigue, and difficulties in concentrating or remembering (p < 0.05; 95 % CI).

CONCLUSION

The intervention group showed promising improvement without reported side effects. A full-scale RCT is feasible as long as the recruitment setting is changed to a location that allows access to more patients with long COVID. Results were limited due to the small sample size; therefore, a full-scale trial is needed.

The Functional Consequences of Long COVID Need to Be Addressed by Occupational Therapists

Long COVID-persistent health complications after recovery from coronavirus disease 2019 infection-is associated with activity limitations in nearly 48 million U.S. adults, affecting work, leisure, family, and community functioning. Occupational therapists are experts in customizing interventions to maximize performance of daily routines, and often treat individuals who experience similar functional impacts to those observed in long COVID. The large number of people experiencing new disability, as well as a lack of medical treatment options, make occupational therapy a crucial component of long-COVID research and multidisciplinary management. In this column, we discuss actionable steps occupational therapists can take to place them at the forefront of maximizing functional and quality-of-life outcomes for people with long COVID.

A Multidisciplinary Approach: Management and Rehabilitation of Children With Pediatric Post-COVID-19 Condition

Post-COVID-19 condition in children is a still largely unknown syndrome with a diverse pattern of symptoms, which can have a major impact on daily life. Currently, there are no evidence-based proven treatments, and the focus is on symptom management and recovery of daily functioning. A multidisciplinary, tailored approach is recommended, with attention to energy management and activity building, where the main goal should be a return to baseline levels of cognitive, physical and social activity.

Outpatient mental health care during high incidence phases of the COVID-19 pandemic in Germany - changes in utilization, challenges and post-COVID care

BACKGROUND

As only a few studies have examined the impact of the COVID-19 pandemic on the mental health outpatient system so far, the aim of the COVID Ψ Outpatient Survey was to gain insight from outpatient providers in Germany regarding changes in utilization; associated problems and challenges; telemedicine services; interactions with inpatient and nursing home services; and experiences with post-COVID syndromes.

METHODS

Between July and September 2021, we invited 351 randomly selected outpatient mental health specialists to take part in the online survey via e-mail. Additionally, we extended an invitation to professional associations to encourage their members to participate. N = 105 physicians of most regions of Germany took part in the survey.

RESULTS

Survey participants reported changes in utilization during the high incidence phases (HIP) of the pandemic using pre-formulated categories: For the first HIP in spring 2020, 31% of the survey participants reported a decrease > 20% and 5% an increase > 20% of patient contacts. For the third HIP in spring 2021, 4% reported a decrease > 20% of contacts, while 30% an increase > 20%. Participants chose "patient's fears of infection" and "providers protection measures" as reasons for decreases, and "pandemic related anxieties", "economic stressors", and "capacity reductions of the inpatient system" as reasons for increases of patient contact. Many providers introduced telemedicine services. A majority reported consultations for post-COVID syndromes already in spring 2021.

CONCLUSIONS

The survey hinted at changes in utilization, multiple problems but as well good-practice-solutions in the mental health outpatient system during the COVID-19 pandemic.

Illness presentation and quality of life in myalgic encephalomyelitis/chronic fatigue syndrome and post COVID-19 condition: a pilot Australian cross-sectional study

PURPOSE

Post COVID-19 Condition (PCC), being persistent COVID-19 symptoms, is reminiscent of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)-a chronic multi-systemic illness characterised by neurocognitive, autonomic, endocrinological and immunological disturbances. This novel cross-sectional investigation aims to: (1) compare symptoms among people with ME/CFS (pwME/CFS) and people with PCC (pwPCC) to inform developing PCC diagnostic criteria; and (2) compare health outcomes between patients and people without acute or chronic illness (controls) to highlight the illness burdens of ME/CFS and PCC.

METHODS

Sociodemographic and health outcome data were collected from n = 61 pwME/CFS, n = 31 pwPCC and n = 54 controls via validated, self-administered questionnaires, including the 36-Item Short-Form Health Survey version 2 (SF-36v2) and World Health Organization Disability Assessment Schedule version 2.0 (WHODAS 2.0). PwME/CFS and pwPCC also provided self-reported severity and frequency of symptoms derived from the Canadian and International Consensus Criteria for ME/CFS and the World Health Organization case definition for PCC.

RESULTS

Both illness cohorts similarly experienced key ME/CFS symptoms. Few differences in symptoms were observed, with memory disturbances, muscle weakness, lymphadenopathy and nausea more prevalent, light-headedness more severe, unrefreshed sleep more frequent, and heart palpitations less frequent among pwME/CFS (all p < 0.05). The ME/CFS and PCC participants' SF-36v2 or WHODAS 2.0 scores were comparable (all p > 0.05); however, both cohorts returned significantly lower scores in all SF-36v2 and WHODAS 2.0 domains when compared with controls (all p < 0.001).

CONCLUSION

This Australian-first investigation demonstrates the congruent and debilitating nature of ME/CFS and PCC, thereby emphasising the need for multidisciplinary care to maximise patient health outcomes.

The prevalence of postacute sequelae of coronavirus disease 2019 in solid organ transplant recipients: Evaluation of risk in the National COVID Cohort Collaborative

Postacute sequelae after the coronavirus disease (COVID) of 2019 (PASC) is increasingly recognized, although data on solid organ transplant (SOT) recipients (SOTRs) are limited. Using the National COVID Cohort Collaborative, we performed 1:1 propensity score matching (PSM) of all adult SOTR and nonimmunosuppressed/immunocompromised (ISC) patients with acute COVID infection (August 1, 2021 to January 13, 2023) for a subsequent PASC diagnosis using International Classification of Diseases, 10th Revision, Clinical Modification codes. Multivariable logistic regression was used to examine not only the association of SOT status with PASC, but also other patient factors after stratifying by SOT status. Prior to PSM, there were 8769 SOT and 1 576 769 non-ISC patients with acute COVID infection. After PSM, 8756 SOTR and 8756 non-ISC patients were included; 2.2% of SOTR (n = 192) and 1.4% (n = 122) of non-ISC patients developed PASC (P value < .001). In the overall matched cohort, SOT was independently associated with PASC (adjusted odds ratio [aOR], 1.48; 95% confidence interval [CI], 1.09-2.01). Among SOTR, COVID infection severity (aOR, 11.6; 95% CI, 3.93-30.0 for severe vs mild disease), older age (aOR, 1.02; 95% CI, 1.01-1.03 per year), and mycophenolate mofetil use (aOR, 2.04; 95% CI, 1.38-3.05) were each independently associated with PASC. In non-ISC patients, only depression (aOR, 1.96; 95% CI, 1.24-3.07) and COVID infection severity were. In conclusion, PASC occurs more commonly in SOTR than in non-ISC patients, with differences in risk profiles based on SOT status.

Covid-19 psychological distress: Analysis of antipsychotic drugs' use in an Italian population sample

BACKGROUND

The current pandemic, in addition to putting a strain on healthcare systems and global economies, has exacerbated psychiatric problems and undermined the mental health of many individuals. In an Italian cohort, this phenomenon has been assessed through a retrospective study aimed at evaluating the consumption and costs of antipsychotic drugs between 2020 and 2022.

METHODS

All dispensations made in local pharmacies accessible to the public have been extracted from a database called 'Sistema Tessera Sanitaria', which covers a population of approximately one million people residents in the ASL Napoli 3 Sud. Consumption data expressed in defined daily dose (DDD) and expenditure data expressed in Euro have been extrapolated.

RESULTS

The results in the years 2020-2021 were relatively consistent, with consumption and expenditure decreasing slightly from 2020 to 2021. In 2022, the results showed a decrease in consumption and expenditure (2,706,951.07 DDD and €1,700,897.47) representing the reduced accessibility of patients to the healthcare facilities due to the pandemic. However, it should be noted that the antipsychotic drug aripiprazole showed an upward trend, registering an increase in consumption.

CONCLUSION

Despite expectations of increased consumption of antipsychotic medications, real-world evidence indicated a different phenomenon, with the pandemic seemingly not affecting the consumption of these drugs. The difficulty in accessing care and medical appointments has probably influenced this data, masking the therapeutic needs of citizens. It will be necessary to assess in the coming years, as normal clinical activity resumes, whether there will be a growing consumption of these medications, which represent one of the main expenditure categories for the National Healthcare System.

Prevalence and Risk Factors of Postacute Sequelae of COVID-19 in Adults With Systemic Autoimmune Rheumatic Diseases

OBJECTIVE

Incidence and manifestations of postacute sequelae of coronavirus disease 2019 (PASC) are poorly defined among immunosuppressed populations. We reported, phenotyped, and assessed risk factors for PASC in adults with systemic autoimmune diseases.

METHODS

Persons aged ≥ 18 years with systemic autoimmune diseases were recruited into a national, prospective observational cohort of SARS-CoV-2 vaccination and infection between December 2020 and April 2021. Serial surveys assessed vaccination status, SARS-CoV-2 infection incidence, and disease flares. Participants reporting SARS-CoV-2 infection received a questionnaire assessing symptom duration, severity, and quality of life (QOL) effect; PASC was defined as ≥ 1 symptom persisting for > 12 weeks. PASC syndromes were mapped by overlapping symptom domains. Characteristics were compared between participants who did vs did not report PASC.

RESULTS

Among 1615 participants, 590 (36.5%) reported SARS-CoV-2 infection and were sent PASC surveys, 299 (50.7%) of whom responded > 12 weeks following the reported infection. Respondents were 91.6% female, 91.2% White, median (IQR) age was 48 (40-60) years with median (IQR) 3 (2-3) vaccine doses at time of first infection. Common diagnoses included inflammatory arthritis (38.5%) and inflammatory bowel disease (14.4%). Eighty-nine of 299 (29.8%) reported PASC, with the most reported symptom domain being neurological/psychological (83.1%); 84% reported an effect on QOL. Participants with PASC reported lower number of preceding vaccines (median [IQR] 2 [2-3] vs 3 [2-3]; P < 0.001) and more reinfections (16.9% vs 5.7%; P = 0.004).

CONCLUSION

In a large, real-world cohort, 29.8% of persons with systemic autoimmune disease reported PASC, often affecting QOL. Preceding vaccination may reduce PASC, whereas multiple infections may increase risk, supporting ongoing booster vaccine campaigns and efforts to limit breakthrough infections.

Characteristics of Patients with Persistent COVID-19 Symptoms and Unscheduled Return Visits to a Centre for COVID-19 Evaluation

Background: This retrospective study aimed to evaluate the characteristics of patients with long COVID syndrome. Methods: This study included 457 adults who had at least one persistent symptom after COVID-19 infection. Results: The median time interval between the last SARS-CoV-2 infection and emergency room presentation was 3 months. Older patients had comorbidities (61.7 vs. 44.9 years, p < 0.0001), moderate or severe forms of COVID-19 (61.2 vs. 50.9 years, p < 0.0001), and respiratory symptoms (56.1 vs. 52.0 years, p = 0.0027). Non-vaccinated patients were older than vaccinated patients (56.0 vs. 51.5 years, p = 0.0008) and had residual lung abnormalities following COVID-19 infection (51.5% vs. 36.8%, p < 0.003). The time interval between the last SARS-CoV-2 infection and the hospital evaluation was shorter for vaccinated patients (3.2 vs. 3.9 months, p < 0.0001) and those with mild forms (3.3 vs. 4.12 months, p = 0.0001) versus non-vaccinated individuals. After the last SARS-CoV-2 infection, 107 patients developed impaired fasting glucose, impaired glucose tolerance, or diabetes mellitus, being patients with already known chronic diseases (p = 0.0002), or hypertension (p = 0.001). Conclusions: Our study pointed out the heterogeneity of symptoms following COVID-19, and they are associated with age, vaccination status, or severity of SARS-CoV-2 infection.

Modelling the long-term health impact of COVID-19 using Graphical Chain Models brief heading: long COVID prediction by graphical chain models

BACKGROUND

Long-term sequelae of SARS-CoV-2 infection, namely long COVID syndrome, affect about 10% of severe COVID-19 survivors. This condition includes several physical symptoms and objective measures of organ dysfunction resulting from a complex interaction between individual predisposing factors and the acute manifestation of disease. We aimed at describing the complexity of the relationship between long COVID symptoms and their predictors in a population of survivors of hospitalization for severe COVID-19-related pneumonia using a Graphical Chain Model (GCM).

METHODS

96 patients with severe COVID-19 hospitalized in a non-intensive ward at the "Santa Maria" University Hospital, Terni, Italy, were followed up at 3-6 months. Data regarding present and previous clinical status, drug treatment, findings recorded during the in-hospital phase, presence of symptoms and signs of organ damage at follow-up were collected. Static and dynamic cardiac and respiratory parameters were evaluated by resting pulmonary function test, echocardiography, high-resolution chest tomography (HRCT) and cardiopulmonary exercise testing (CPET).

RESULTS

Twelve clinically most relevant factors were identified and partitioned into four ordered blocks in the GCM: block 1 - gender, smoking, age and body mass index (BMI); block 2 - admission to the intensive care unit (ICU) and length of follow-up in days; block 3 - peak oxygen consumption (VO2), forced expiratory volume at first second (FEV1), D-dimer levels, depression score and presence of fatigue; block 4 - HRCT pathological findings. Higher BMI and smoking had a significant impact on the probability of a patient's admission to ICU. VO2 showed dependency on length of follow-up. FEV1 was related to the self-assessed indicator of fatigue, and, in turn, fatigue was significantly associated with the depression score. Notably, neither fatigue nor depression depended on variables in block 2, including length of follow-up.

CONCLUSIONS

The biological plausibility of the relationships between variables demonstrated by the GCM validates the efficacy of this approach as a valuable statistical tool for elucidating structural features, such as conditional dependencies and associations. This promising method holds potential for exploring the long-term health repercussions of COVID-19 by identifying predictive factors and establishing suitable therapeutic strategies.

A Blood Supply Pathophysiological Microcirculatory Mechanism for Long COVID

BACKGROUND

The term "Long COVID" is commonly used to describe persisting symptoms after acute COVID-19. Until now, proposed mechanisms for the explanation of Long COVID have not related quantitative measurements to basic laws. In this work, a common framework for the Long COVID pathophysiological mechanism is presented, based on the blood supply deprivation and the flow diffusion equation.

METHODS

Case-control studies with statistically significant differences between cases (post-COVID patients) and controls, from multiple tissues and geographical areas, were gathered and tabulated. Microvascular loss (ML) was quantified by vessel density reduction (VDR), foveal avascular zone enlargement (FAZE), capillary density reduction (CDR), and percentage of perfused vessel reduction (PPVR). Both ML and hemodynamic decrease (HD) were incorporated in the tissue blood supply reduction (SR) estimation.

RESULTS

ML data were found from 763 post-COVID patients with an average VDR, FAZE, CDR, and PPVR of 16%, 31%, 14%, and 21%, respectively. The average HD from 72 post-COVID patients was 37%. The estimated SR for multiple tissues with data from 634 post-COVID patients reached a sizeable 47%. This large SR creates conditions of lower mass diffusion rates, hypoxia, and undernutrition, which at a multi-tissue level, for a long time, can explain the wide variety of the Long COVID symptoms.

CONCLUSIONS

Disruption of peripheral tissue blood supply by the contribution of both ML and HD is proposed here to be the principal cause of the mechanism leading to Long COVID symptoms.

Impact of Spa Therapy on Symptoms and Quality of Life in Post-COVID-19 Patients with Chronic Conditions

Background: With limited pharmacological interventions, post-COVID-19 condition is a clinical challenge, and supplementary therapies are essential for symptom relief and enhancing quality of life (QoL). In our prospective observational study, we aimed to evaluate the impact of Salus per aquam (Spa) therapy on post-COVID-19 symptoms and QoL in individuals who suffer from chronic joint, musculoskeletal, skin, and/or respiratory conditions. Methods: A total of 159 individuals undergoing Spa therapy were enrolled, and 78 of them had post-COVID-19 symptoms, assessed using Visual Analogue Scale (VAS) and modified British Medical Research Council Questionnaire (mMRC-DS scales), as well as the Short Form 36 Health Status Survey (SF-36) questionnaire for QoL. Results: Spa therapy significantly reduced most post-COVID-19 symptoms, especially chronic fatigue, pain, brain fog, and persistent cough (all p < 0.05), as well as physical (+72%) and emotional (+66%) limitations. When stratified by sex, males showed a greater improvement from baseline, while females consistently displayed a higher amelioration in all QoL dimensions. Moreover, full vaccination with 3-4 doses significantly protected against SARS-CoV-2 re-infections and post-COVID-19 development (p < 0.05). Conclusions: Spa therapy demonstrated effectiveness in mitigating post-COVID-19 symptoms and enhancing QoL in patients suffering from chronic diseases.

Advance in the mechanism and clinical research of myalgia in long COVID

As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve, mortality rates of coronavirus disease 2019 (COVID-19) have significantly decreased. However, a variable proportion of patients exhibit persistent prolonged symptoms of COVID-19 infection (long COVID). This virus primarily attacks respiratory system, but numerous individuals complain persistent skeletal muscle pain or worsening pre-existing muscle pain post COVID-19, which severely affects the quality of life and recovery. Currently, there is limited research on the skeletal muscle pain in long COVID. In this brief review, we review potential pathological mechanisms of skeletal muscle pain in long COVID, and summarize the various auxiliary examinations and treatments for skeletal muscle pain in long COVID. We consider abnormal activation of inflammatory response, myopathy, and neurological damages as pivotal pathological mechanisms of skeletal muscle pain in long COVID. A comprehensive examination is significantly important in order to work out effective treatment plans and relieve skeletal muscle pain. So far, rehabilitation interventions for myalgia in long COVID contain but are not limited to drug, nutraceutical therapy, gut microbiome-targeted therapy, interventional therapy and strength training. Our study provides a potential mechanism reference for clinical researches, highlighting the importance of comprehensive approach and management of skeletal muscle pain in long COVID. The relief of skeletal muscle pain will accelerate rehabilitation process, improve activities of daily living and enhance the quality of life, promoting individuals return to society with profound significance.

Prevalence and risk factors of post-acute sequelae of SARS-CoV-2 (PASC) among veterans in the airborne hazards and open burn pit registry: a prospective, observational, nested study

BACKGROUND

Veterans have unique military risk factors and exposures during deployment that may augment their risk of post-acute sequelae of SARS-CoV-2 (PASC). The purpose of this study is to identify potential risk factors for PASC among Veterans in the national Airborne Hazards and Open Burn Pit Registry (AHOBPR).

METHODS

This prospective observational study consisted of a semi-structured interview conducted via phone or videoconference from November 2021 to December 2022 among a stratified random sample of deployed Veterans nested within the national AHOBPR with laboratory-confirmed SARS-CoV-2 infection. PASC was defined as persistent new-onset symptoms lasting more than 2 months after initial SARS-CoV-2 infection. Deployment history, airborne hazards exposure and symptoms were obtained from the AHOBPR self-assessment questionnaire completed prior to SARS-CoV-2 infection (past). Post-infection symptoms and health behaviors obtained at study interview (present) were used to test the hypothesis that deployment experience and exposure increases the risk for PASC.

RESULTS

From a sample of 212 Veterans, 149 (70%) met criteria for PASC with a mean age of 47 ± 8.7 years; 73 (49%) were women and 76 (51%) were men, and 129 (82.6%) continued to experience persistent symptoms of SARS-CoV-2 (596.8 ± 160.4 days since initial infection). Neither exposure to airborne hazards (OR 0.97, CI 0.92-1.03) or to burn pits (OR 1.00, CI 0.99-1.00) augmented risk for PASC.

CONCLUSIONS

PASC is highly common among Veterans enrolled in the AHOBPR, but we did not observe any unique military risk factors (e.g., airborne hazards exposure) that augmented the risk of PASC. Our findings may provide guidance to clinicians in the VHA network to administer appropriate care for Veterans experiencing PASC.

Socio-economic conditions affect health-related quality of life, during recovery from acute SARS-CoV-2 infection : Results from the VASCO study (VAriabili Socioeconomiche e COVID-19), on the "Surviving-COVID" cohort, from Bergamo (Italy)

BACKGROUND

Recovery from acute COVID-19 may be slow and incomplete: cases of Post-Acute Sequelae of COVID (PASC) are counted in millions, worldwide. We aimed to explore if and how the pre-existing Socio-economic-status (SES) influences such recovery.

METHODS

We analyzed a database of 1536 consecutive patients from the first wave of COVID-19 in Italy (February-September 2020), previously admitted to our referral hospital, and followed-up in a dedicated multidisciplinary intervention. We excluded those seen earlier than 12 weeks (the conventional limit for a possible PASC syndrome), and those reporting a serious complication from the acute phase (possibly accounting for symptoms persistence). We studied whether the exposition to disadvantaged SES (estimated through the Italian Institute of Statistics's model - ISTAT 2017) was affecting recovery outcomes, that is: symptoms (composite endpoint, i.e. at least one among: dyspnea, fatigue, myalgia, chest pain or palpitations); Health-Related-Quality-of-Life (HRQoL, as by SF-36 scale); post-traumatic-stress-disorder (as by IES-R scale); and lung structural damage (as by impaired CO diffusion, DLCO).

RESULTS

Eight-hundred and twenty-five patients were included in the analysis (median age 59 years; IQR: 50-69 years, 60.2% men), of which 499 (60.5%) were previously admitted to hospital and 27 (3.3%) to Intensive-Care Unit (ICU). Those still complaining of symptoms at follow-up were 337 (40.9%; 95%CI 37.5-42.2%), and 256 had a possible Post-Traumatic Stress Disorder (PTSD) (31%, 95%CI 28.7-35.1%). DLCO was reduced in 147 (19.6%, 95%CI 17.0-22.7%). In a multivariable model, disadvantaged SES was associated with a lower HRQoL, especially for items exploring physical health (Limitations in physical activities: OR = 0.65; 95%CI = 0.47 to 0.89; p = 0.008; AUC = 0.74) and Bodily pain (OR = 0.57; 95%CI = 0.40 to 0.82; p = 0.002; AUC = 0.74). We did not observe any association between SES and the other outcomes.

CONCLUSIONS

Recovery after COVID-19 appears to be independently affected by a pre-existent socio-economic disadvantage, and clinical assessment should incorporate SES and HRQoL measurements, along with symptoms. The socioeconomic determinants of SARS-CoV-2 disease are not exclusive of the acute infection: this finding deserves further research and specific interventions.

The symptoms evolution of long COVID‑19 (SE-LC19): a new patient-reported content valid instrument

BACKGROUND

The field of long COVID research is rapidly evolving, however, tools to assess and monitor symptoms and recovery of the disease are limited. The objective of the present study was to develop a new patient-reported outcomes instrument, the Symptoms Evolution of Long COVID‑19 (SE-LC19), and establish its content validity.

METHODS

The 40-item SE-LC19 instrument was developed based on patient-relevant empirical evidence from scientific literature and clinical guidelines that reported symptoms specific to long COVID. A 2-part mixed-method approach was employed. Part 1: Qualitative interviews with a purposive sample of 41 patients with confirmed long COVID were conducted for the content validation of SE-LC19. During cognitive debriefing interviews, patients were asked to describe their understanding of the instrument's instructions, specific symptoms, response options, and recall period to ensure its relevance and comprehensiveness. Five clinicians of different medical specialties who regularly treated patients with long COVID were also interviewed to obtain their clinical expert opinions on SE-LC19. Part 2: Exploratory Rasch Measurement Theory (RMT) analysis was conducted to evaluate the psychometric properties of the SE-LC19 data collected during the interviews.

RESULTS

Overall, patients reported that the instructions, questions, recall period, and response options for SE-LC19 were comprehensive and relevant. Minor conceptual gaps reported by patients captured nuances in the experience of some symptoms that could be considered in future studies. Some patients suggested a revision of the recall period from 24 h to 7 days to be able to capture more symptoms given the waxing and waning nature of some symptoms. Clinicians found the instrument comprehensive with minimal suggestions regarding its content. Exploratory RMT analyses provided evidence that the SE-LC19 questionnaire performed as intended.

CONCLUSION

The present mixed-methods study in patients with confirmed long COVID supports the content validity and applicability of the SE-LC19 instrument to evaluate the symptoms of patients with long COVID. Further research is warranted to explore the psychometric properties of the instrument and refine a meaningful and robust patient-relevant endpoint for use in different settings such as clinical trials and clinical practice to track the onset, severity, and recovery of long COVID.

Mechanisms of Gut-Related Viral Persistence in Long COVID

Long COVID (post-acute sequelae of COVID-19-PASC) is a consequence of infection by SARS-CoV-2 that continues to disrupt the well-being of millions of affected individuals for many months beyond their first infection. While the exact mechanisms underlying PASC remain to be defined, hypotheses regarding the pathogenesis of long COVID are varied and include (but are not limited to) dysregulated local or systemic inflammatory responses, autoimmune mechanisms, viral-induced hormonal imbalances, skeletal muscle abnormalities, complement dysregulation, novel abzymes, and long-term persistence of virus and/or fragments of viral RNA or proteins. This review article is based on a comprehensive review of the wide range of symptoms most often observed in long COVID and an attempt to integrate that information into a plausible hypothesis for the pathogenesis of PASC. In particular, it is proposed that long-term dysregulation of the gut in response to viral persistence could lead to the myriad of symptoms observed in PASC.

Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study

Background

Patients with coronavirus disease 2019 (COVID-19) often experience persistent symptoms, known as postacute sequelae of COVID-19 or long COVID, after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Chronic lung disease (CLD) has been identified in small-scale studies as a potential risk factor for long COVID.

Methods

This large-scale retrospective cohort study using the National COVID Cohort Collaborative data evaluated the link between CLD and long COVID over 6 months after acute SARS-CoV-2 infection. We included adults (aged ≥18 years) who tested positive for SARS-CoV-2 during any of 3 SARS-CoV-2 variant periods and used logistic regression to determine the association, considering a comprehensive list of potential confounding factors, including demographics, comorbidities, socioeconomic conditions, geographical influences, and medication.

Results

Of 1 206 021 patients, 1.2% were diagnosed with long COVID. A significant association was found between preexisting CLD and long COVID (adjusted odds ratio [aOR], 1.36). Preexisting obesity and depression were also associated with increased long COVID risk (aOR, 1.32 for obesity and 1.29 for depression) as well as demographic factors including female sex (aOR, 1.09) and older age (aOR, 1.79 for age group 40-65 [vs 18-39] years and 1.56 for >65 [vs 18-39] years).

Conclusions

CLD is associated with higher odds of developing long COVID within 6 months after acute SARS-CoV-2 infection. These data have implications for identifying high-risk patients and developing interventions for long COVID in patients with CLD.

The Long COVID Symptoms and Severity Score: Development, Validation, and Application

OBJECTIVES

The primary focus of this research is the proposition of a methodological framework for the clinical application of the long COVID symptoms and severity score (LC-SSS). This tool is not just a self-reported assessment instrument developed and validated but serves as a standardized, quantifiable means to monitor the diverse and persistent symptoms frequently observed in individuals with long COVID.

METHODS

A 3-stage process was used to develop, validate, and establish scoring standards for the LC-SSS. Validation measures included correlations with other patient-reported measures, confirmatory factor analysis, Cronbach's α for internal consistency, and test-retest reliability. Scoring standards were determined using K-means clustering, with comparative assessments made against hierarchical clustering and the Gaussian Mixture Model.

RESULTS

The LC-SSS showed correlations with EuroQol 5-Dimension 5-Level (rs = -0.55), EuroQol visual analog scale (rs = -0.368), Patient Health Questionnaire-9 (rs = 0.538), Beck Anxiety Inventory (rs = 0.689), and Insomnia Severity Index (rs = 0.516), confirming its construct validity. Structural validity was good with a comparative fit index of 0.969, with Cronbach's α of 0.93 indicating excellent internal consistency. Test-retest reliability was also satisfactory (intraclass correlation coefficient 0.732). K-means clustering identified 3 distinct severity categories in individuals living with long COVID, providing a basis for personalized treatment strategies.

CONCLUSIONS

The LC-SSS provides a robust and valid tool for assessing long COVID. The severity categories established via K-means clustering demonstrate significant variation in symptom severity, informing personalized treatment and improving care quality for patients with long COVID.

The association of non-severe COVID-19 infection and progression to frailty among robust older veterans

BACKGROUND

Studies have shown that frailty was increased in hospitalized COVID-19 patients. However, it is not clear whether non-severe COVID-19 increases the risk for pre-frailty and frailty development. Our study aimed to determine the risk of developing frailty and pre-frailty in robust veterans who contracted non-severe COVID-19.

METHODS

We conducted a retrospective cohort study to assess the association of SARS-CoV-2 infection with the development of pre-frailty and frailty status among robust U.S. veterans using VA COVID-19 Shared Data Resource. We included patients 55 years and older who had at least one SARS-CoV-2 testing between March 15, 2020, and November 30, 2020, had been active patients in the past 12 months, and had a VA frailty index of zero (robust status) at the time of testing. Cox proportional hazard model was used to assess the association between COVID-19 infection and developing frailty or pre-frailty and frailty. We also assessed the association by patients' age groups, sex, and race.

FINDINGS

We identified 82070 veterans mean age 68.3 ± 7.8, 74738 (91.1%) male, 53899 (65.7%) white, 7557 (9.2%) with mild COVID-19 infection. Over the follow up period of 36 months, testing positive for COVID-19 was associated with a 66% increase in the hazard of becoming frail (adjusted HR = 1.66, 95%CI: 1.32-2.08), and a 68% increase in the hazard of becoming pre-frail (adjusted HR = 1.68, 95%CI: 1.45-1.94). Among male patients, mild COVID-19 infection was associated with a 54% increase in the hazard of becoming frail (adjusted HR = 1.54, 95% CI: 1.21-1.96), while among female patients there was a 330% increase (adjusted HR = 4.30, 95% CI: 2.13-8.64).

CONCLUSIONS AND RELEVANCE

Non-severe COVID-19 infection that occurred in robust older adults increased the risk of developing frailty. Further multi-center prospective cohort studies evaluating the mechanism of action and clinical trials of treatment options for post-COVID frailty are indicated in Veterans to support clinical care.

Global research status and trends of interactions between Traditional Chinese medicine and pulmonary fibrosis: A new dawn in treatment

Background

Pulmonary fibrosis (PF) remains a major sequela of COVID-19, yet its pharmacotherapy remains unsatisfactory. Recently, Traditional Chinese medicine (TCM) has garnered increasing recognition among patients and researchers because of its few side effects and efficacy. The objective of this study is to use bibliometric analysis to explore the current research landscape and emerging trajectories of TCM treating PF(TCM/PF) researches, and comprehensively evaluate publications with substantial citations within the domain of TCM/PF.

Materials and methods

TCM/PF publications from 1996 to June 15, 2023 were identified by a comprehensive search of the Web of Science Core Collection (WoSCC). The Bibliometrix of Origin, CiteSpace, Gephi, dycharts and VOSviewer were used for bibliometric analysis.

Results

A total of 358 papers were included. A rapid increase in the number of papers after 2013 was observed. China had the highest publication output and research contributions in this field. Beijing University of Traditional Chinese Medicine and Nanjing University of Traditional Chinese Medicineare leaders in productive research of this field. Nanjing University of Traditional Chinese Medicine had the highest citations (227). LI JIANSHENG from Henan University of Chinese Medicine was the most prolific author (8), with the highest number of citations (61), and TONG XIAO LIN from China Academy of Chinese Medical Sciences had the highest H-index (30). The leading journal publishing the most research (37) is Frontiers in Pharmacology and the Journal of Ethnopharmacology had the highest total citations (486). Burst analysis of keywords revealed three distinct phases of research. 1996 to 2013 marked the nascent stage of TCM/PF research; from 2014 to 2018, studies gradually focused on the underlying mechanisms governing TCM/PF. The most significant phase occurred from 2019 onward, where TCM/PF exhibited an explosive growth trend. This progression signifies a transition from foundational explorations to a comprehensive understanding of the mechanisms involved, ultimately leading to the current surge in research activities focused on TCM/PF. Notable research teams of this stage, led by LI JIAN SHENG and TONG XIAO LIN, have been at the forefront of advancing TCM/PF research. Their studies on Jinshui Huanxian formula and Qimai Feiluoping decoction have been pivotal in advancing the frontier of research in this domain. Furthermore, the monomeric compounds, including emodin, curcumin, salvianolic acid, baicalin, and oxymatrine, have sustained longstanding prominence.

Conclusions

This study gained insight into the research status, focal areas and evolving trends of global TCM/PF research. It also identified the most cited articles in TCM/PF and analyzed their characteristics, which may hold significant relevance for both clinical researchers and practitioners on future directions in this field.

Definitions and symptoms of the post-COVID syndrome: an updated systematic umbrella review

Post-COVID syndrome (PCS) describes a persistent complex of symptoms following a COVID-19 episode, lasting at least 4 to 12 weeks, depending on the specific criteria used for its definition. It is often associated with moderate to severe impairments of daily life and represents a major burden for many people worldwide. However, especially during the first two years of the COVID-19 pandemic, therapeutic and diagnostic uncertainties were prominent due to the novelty of the disease and non-specific definitions that overlooked functional deficits and lacked objective assessment. The present work comprehensively examines the status of PCS definitions as depicted in recent reviews and meta-analyses, alongside exploring associated symptoms and functional impairments. We searched the database Pubmed for reviews and meta-analysis evaluating PCS in the period between May 31, 2022, to December 31, 2023. Out of 95 studies, 33 were selected for inclusion in our analyses. Furthermore, we extended upon prior research by systematically recording the symptoms linked with PCS as identified in the studies. We found that fatigue, neurological complaints, and exercise intolerance were the most frequently reported symptoms. In conclusion, over the past eighteen months, there has been a notable increase in quantity and quality of research studies on PCS. However, there still remains a clear need for improvement, particularly with regard to the definition of the symptoms necessary for diagnosing this syndrome. Enhancing this aspect will render future research more comparable and precise, thereby advancing and understanding PCS.