Exploring the prevalence and chest CT predictors of Long COVID in children: a comprehensive study from Shanghai and Linyi.

Introduction: COVID-19 constitutes a pandemic of significant detriment to human health. This study aimed to investigate the prevalence of Long COVID following SARS-CoV-2 infection, analyze the potential predictors of chest CT for the development of Long COVID in children. Methods: A cohort of children who visited the respiratory outpatient clinics at Shanghai Children's Medical Center or Linyi Maternal and Child Health Care Hospital from December 2022 to February 2023 and underwent chest CT scans within 1 week was followed up. Data on clinical characteristics, Long COVID symptoms, and chest CT manifestations were collected and analyzed. Multivariate logistic regression models and decision tree models were employed to identify factors associated with Long COVID. Results: A total of 416 children were included in the study. Among 277 children who completed the follow-up, the prevalence of Long COVID was 23.1%. Chronic cough, fatigue, brain fog, and post-exertional malaise were the most commonly reported symptoms. In the decision tree model for Long COVID, the presence of increased vascular markings, the absence of normal CT findings, and younger age were identified as predictors associated with a higher likelihood of developing Long COVID in children. However, no significant correlation was found between chest CT abnormality and the occurrence of Long COVID. Discussion: Long COVID in children presents a complex challenge with a significant prevalence rate of 23.1%. Chest CT scans of children post-SARS-CoV-2 infection, identified as abnormal with increased vascular markings, indicate a higher risk of developing Long COVID.

Effects of respiratory muscular training in post-covid-19 patients: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Post-Covid-19 syndrome is defined as non-self-sustaining signs and/or symptoms lasting more than 12 weeks, occurring during or after a Covid-19 infection. The primary outcome was the analysis of the respiratory muscle training (RMT) result in respiratory muscle strength, (maximum inspiratory pressure (MIP) e maximum expiratory pressure (MEP)); and the secondary results were the analysis of lung function, dyspnea, quality of life (QoL), fatigue and functional performance. METHODS: The PICO description for this research was: P: patients diagnosed with post-Covid-19; I: RMT; C: Sham or simulated inspiratory or expiratory muscle training and usual care; O: MIP, MEP, Lung Function, level of dyspnea, QoL and functional performance. On January 15, 2024, the following databases were consulted: PubMed, Lilacs, Cochrane Library, PEDro and EMBASE. Randomized clinical trials were included without restrictions on year of publication or language. The data selection and extraction steps were carried out by two independent reviewers. RESULTS: The search in the databases resulted in a total of 14,216 studies, and after the eligibility process, 7 studies were included with a sample of 527 patients. The MIP results suffered a statistically significant increase, that is, the RMT was favorable to improve the MIP (MD = 29.55cmH2O IC 95%: 7.56cmH2O to 51.54cmH2O, p = 0,00001). For the MEP outcome, the results were statistically significant in favor of RMT (MD = 10.93cmH2O CI 95%: 3.65cmH2O to 18.21cmH2O, p = 0.00001). We also noticed a significant improvement for the group that received the RMT in the distance covered in the 6-Minute Walk Test (6MWT) MD = 40.70 m CI 95%: 18.23 m to 65.17 m%, p = 0.01). CONCLUSION: We noticed that RMT is being used in patients with respiratory diseases, including post-Covid-19. Our systematic review observed that this training provides an increase in inspiratory and expiratory muscle strength, a reduction in dyspnea levels, and an increase in the distance covered in the 6MWT and improved QoL in post-covid patients after intervention.

Long Neurocognitive and Neuropsychiatric Sequelae in Participants with Post-COVID-19 Infection: A Longitudinal Study.

OBJECTIVE: To evaluate and characterize the cognitive changes in COVID-19 participants at 6-month follow-up, and to explore a possible association with clinical symptoms, emotional disturbance and disease severity. METHODS: This single-center longitudinal cohort study included participants aged 20 and 60 years old to exclude cognitive impairment age-associated with confirmed COVID-19 infection. The initial evaluation occurred 10 to 30 days after hospital or ambulatory discharge, with a subsequent follow-up at 6 months. Patients who had a history of cognitive impairment, neurological conditions, or serious psychiatric disorders were not included. Information on demographics and laboratory results was gathered from medical records. Cognitive outcomes were assessed with a neuropsychological battery including attention, verbal and visual memory, language and executive function tests. RESULTS: A total of 200 participants were included in the study, and 108 completed the follow-up visit. At the 6-month follow-up, comparing the means from baseline with those of the follow-up evaluation, significant overall improvement was observed in verbal and visual memory subtests (p = 0.001), processing speed (p = 0.001), executive function (p = 0.028; p = 0.016) and naming (p = 0.001), independently of disease severity and cognitive complaints. Anxiety and depression were significantly higher in groups with Subjective Cognitive Complaints (SCC) compared to those without (p < 0.01 for both). CONCLUSIONS: Persistent symptoms are common regardless of disease severity and are often linked to cognitive complaints. Six months after COVID-19, the most frequently reported symptoms included headache, dyspnea, fatigue, cognitive complaints, anxiety, and depression. No cognitive impairment was found to be associated with the severity of COVID-19. Overall, neuropsychological and psychopathological improvement was observed at 6 months regardless of disease severity and cognitive complaints.

A review of Patient Reported Outcome Measures (PROMs) for characterizing Long COVID (LC)-merits, gaps, and recommendations.

BACKGROUND: Individuals may experience a range of symptoms after the clearance of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This condition is termed long COVID (LC) or Post-COVID-19 condition (PCC). Despite the appreciable number of symptoms documented to date, one key challenge remains in the robust characterization of LC outcomes. This review aimed to assess the properties, identify gaps, and provide recommendations for relevant descriptive and evaluative Patient-Reported Outcome Measurement (PROM) instruments that can be used to comprehensively characterize LC. METHODS: To achieve this objective, we identified and reviewed descriptive and evaluative PROM instruments that have been developed and validated to date with people living with LC. Our review assessed their properties, identified gaps, and recommended PROMs suitable for characterizing LC. To ensure a comprehensive and robust characterization of LC, we next identified, reviewed, and selected (with the input of patient partners) PROMs associated with the most frequently reported LC symptoms. The evaluation criteria included psychometric evidence, mode of delivery, cost, and administration time. RESULTS: Traditional matrix mapping revealed Post-COVID Functional Status Scale (PCFS) as a choice instrument for capturing LC outcomes largely because of the comprehensive domains it covered, and the number of psychometric evidence reported in literatures. This instrument can be effectively paired with the Fatigue Severity Scale (FSS), Montreal Cognitive Assessment (MoCA), Patient Health Questionnaire (PHQ-9), Headache Impact Test (HIT), Pittsburgh Sleep Quality Index (PSQI), and DePaul Symptom Questionnaire (DSQ-PEM) to characterize fatigue, cognitive impairment, depression/anxiety, headache, sleeplessness, and post-exertional malaise respectively. CONCLUSION: Our paper identified appropriate PROM instruments that can effectively capture the diverse impacts of LC. By utilizing these validated instruments, we can better understand and manage LC.

Some individuals who once contracted the virus responsible for COVID-19 may continue to experience a range of symptoms persisting for more than 3 months. These symptoms include fatigue, difficulty sleeping, anxiety and difficulty breathing amongst others. This condition is known by many as Long COVID (LC). To understand the health outcomes of patients faced with this condition, standardized Patient Reported Outcome Measurement instruments (PROMs) are pivotal. PROMs are standardized questionnaires completed by patients to measure their symptoms, perceptions of health status, and/or functional well-being. In this paper, we have examined standardized instruments suitable for measuring LC outcomes. We conducted a comprehensive strength and weakness analysis of each instrument reviewed, guided by specific criteria. Based on our strength and weakness analyses, we identified several potential instruments that can be used to reports patients' outcomes concerning LC. The data collected from PROMs provides valuable insights for healthcare practitioners and policy makers, enabling the enhancement of patient-centric care and serving as an instrument for systemic transformation.

Post-acute CoVid-19 syndrome (PACS) linked cardiovascular symptoms.

Officials have marked the end of the CoVid-19 pandemic, yet we continue to learn more about the SARS-CoV2 virus itself and its lasting multidimensional effects after acute infection. Long COVID, or the post-acute CoViD-19 syndrome (PACS), manifests as a wide range of prolonged physical, mental, and emotional symptoms over at least 1 to 12 months after SARS-CoV2 infection. Here, we describe certain pervasive clinical consequences of PACS on the cardiovascular system, and insight on the potentially improved prognoses in heart failure patients.

Rationale and design of the multi organ inflammation with serial testing study: a comprehensive assessment of functional and structural abnormalities in patients with recovered COVID-19.

Introduction: Short-term clinical outcomes from SARS-CoV-2 infection are generally favorable. However, 15-20% of patients report persistent symptoms of at least 12 weeks duration, often referred to as long COVID. Population studies have also demonstrated an increased risk of incident diabetes and cardiovascular disease at 12 months following infection. While imaging studies have identified multi-organ injury patterns in patients with recovered COVID-19, their respective contributions to the disability and morbidity of long COVID is unclear. Methods: A multicenter, observational study of 215 vaccine-naïve patients with clinically recovered COVID-19, studied at 3-6 months following infection, and 133 healthy volunteers without prior SARS-CoV-2 infection. Patients with recovered COVID-19 were screened for long COVID related symptoms and their impact on daily living. Multi-organ, multi-parametric magnetic resonance imaging (MRI) and circulating biomarkers were acquired to document sub-clinical organ pathology. All participants underwent pulmonary function, aerobic endurance (6 min walk test), cognition testing and olfaction assessment. Clinical outcomes were collected up to 1 year from infection. The primary objective of this study is to identify associations between organ injury and disability in patients with long-COVID symptoms in comparison to controls. As a secondary objective, imaging and circulating biomarkers with the potential to exacerbate cardiovascular health were characterized. Discussion: Long-term sequelae of COVID-19 are common and can result in significant disability and cardiometabolic disease. The overall goal of this project is to identify novel targets for the treatment of long COVID including mitigating the risk of incident cardiovascular disease. Study registration: clinicaltrials.gov (MOIST late cross-sectional study; NCT04525404).

Clinical-epidemiological characterization of patients with long COVID in Mexico.

BACKGROUND: Long COVID is defined as the persistence of COVID-19 symptoms four weeks after having undergone acute infection, according to the most recent CDC definition. It is estimated that there are 65 million people affected by this entity, although other figures speak of 200 million. OBJECTIVE: To characterize the population affected by long COVID in Mexico. MATERIAL AND METHODS: Patients older than 18 years who agreed to answer an online survey and who met the criteria for long COVID were included. RESULTS: Data from 203 subjects were included, with 138 (68.0%) being found to be females, and average age to be 41.8 years; 29.6% had severe disease, and 70.4%, mild to moderate disease; 89.7% had received prior COVID-19 vaccination: 6.9% had received one dose; 31.5%, two doses; and 51.2%, three or more doses. The main risk factors were diabetes, overweight or obesity, and hypertension. The most commonly reported symptom was fatigue, followed by other neuropsychiatric manifestations. CONCLUSION: It is important for the population affected by long COVID to be characterized in order to generate diagnostic and treatment protocols.

ANTECEDENTES: El COVID persistente se define como la persistencia de síntomas de COVID-19 después de cuatro semanas de cursar con un cuadro agudo, según la definición más reciente de los Centers for Disease Control and Prevention. Se estima que existen 65 millones de personas afectadas por esta entidad, aunque algunos reportes indican 200 millones. OBJETIVO: Caracterizar a la población afectada por COVID persistente en México. MATERIAL Y MÉTODOS: Se incluyeron pacientes mayores de 18 años que consintieron responder a una encuesta en línea y que cumplían los criterios de COVID persistente. RESULTADOS: Se incluyeron los datos de 203 sujetos. Se identificó que 138 (68.0 %) contestaron ser del sexo femenino, con una media de edad de 41.8 años; 29.6 % presentó enfermedad grave y 70.4 %, enfermedad leve a moderada; 89.7 % había recibido vacunas previas para COVID-19: 6.9 %, una dosis; 31.5 %, dos dosis; y 51.2 %, tres o más dosis. Los principales factores de riesgo fueron diabetes, sobrepeso u obesidad e hipertensión arterial sistémica. El principal síntoma reportado fue fatiga, seguido de otras manifestaciones neuropsiquiátricas. CONCLUSIÓN: Es importante caracterizar a la población para generar protocolos de diagnóstico y tratamiento.

A Disease Hidden in Plain Sight: Pathways and Mechanisms of Neurological Complications of Post-acute Sequelae of COVID-19 (NC-PASC).

The global impact of coronavirus disease 2019 (COVID-19) marked by numerous pandemic peaks is attributed to its high variability and infectious nature, transforming it into a persistent global public health concern. With hundreds of millions of cases reported globally, the illness is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite its initial classification as an acute respiratory illness, recent evidence indicates that lingering effects on various bodily systems, such as cardiovascular, pulmonary, nervous, gastrointestinal (GI), and musculoskeletal, may endure well beyond the acute phase. These persistent manifestations following COVID-19, commonly known as long COVID, have the potential to affect individuals across the entire range of illness severity, with a tendency to be more prevalent in mild to moderate cases. At present, there are no established criteria for diagnosing long COVID. Nonetheless, it is conceptualized as a multi-organ disorder encompassing a diverse array of clinical manifestations. The most common, persistent, and debilitating symptoms of long COVID may be neurological, known as neurological complications of post-acute sequelae of COVID-19 (NC-PASC). More than one-third of individuals with a prior SARS-CoV-2 infection show involvement of both the central nervous system (CNS) and peripheral nervous system (PNS), as evidenced by an approximately threefold higher incidence of neurological symptoms in observational studies. The persistent neurological symptoms of long COVID encompass fatigue, headache, cognitive decline, "brain fog", dysautonomia, neuropsychiatric issues, loss of smell (anosmia), loss of taste (ageusia), and peripheral nerve problems (peripheral neuropathy). Reported pathogenic mechanisms encompass viral persistence and neuro-invasion by SARS-CoV-2, neuroinflammation, autoimmunity, coagulopathy, and endotheliopathy. Raising awareness of potential complications is crucial for preventing and alleviating the long-term effects of long COVID and enhancing the prognosis for affected patients. This review explores the hypothetical pathophysiological mechanisms and pathways of NC-PASC with a sole aim to increase awareness about this crippling disease.

Short-term intermittent hypoxia exposure for dyspnea and fatigue in post-acute sequelae of COVID-19: A randomized controlled study.

BACKGROUND: Post-acute sequelae of COVID-19 (PASC) is incurring a huge health and economic burden worldwide. There is currently no effective treatment or recommended drug for PASC. METHODS: This prospective randomized controlled study was conducted in a hospital in China. The effect of intermittent hypoxia exposure (IHE; 5-min hypoxia alternating with 5-min normal air, repeated five times) on dyspnea and fatigue was investigated in patients meeting the NICE definition of PASC. Patients were computationally randomized to receive normoxia exposure (NE) and routine therapy or IHE and routine therapy. Six-minute walk distance (6MWD) and spirometry were tested before and after the interventions; the Borg Dyspnea Scale (Borg) and the modified Medical Research Council Dyspnea Scale (mMRC) were used to assess dyspnea; and the Fatigue Assessment Scale (FAS) and the Chalder Fatigue Scale-11 (CFQ-11) were used to assess fatigue. The study was registered in the Chinese Clinical Trial Registry (ChiCTR2300070565). FINDINGS: Ninety-five participants (33 males and 62 females) were recruited between March 1, 2023 and December 30, 2023. Forty-seven patients in the IHE group received 10.0 (9.0, 15.0) days of IHE, and 48 patients in NE group received 10.0 (8.0, 12.0) days of NE. 6MWD, forced vital capacity (FVC), FVC %pred, forced expiratory volume in 1 s (FEV1), FEV1 %pred, tidal volume (VT), and dyspnea and fatigue scales markedly improved after IHE (p < 0.05), and improvements were greater than in the NE group (all p < 0.05). Furthermore, participants in IHE group had better subjective improvements in dyspnea and fatigue than those in the NE group (p < 0.05). Compared with <10 days of IHE, ≥10 days of IHE had a greater impact on 6MWD, FVC, FEV1, FEV1 %pred, VT, FAS, and CFQ-11. No severe adverse events were reported. INTERPRETATION: IHE improved spirometry and 6MWD and relieved dyspnea and fatigue in PASC patients. Larger prospective studies are now needed to verify these findings.

Methylphenidate for the Treatment of Post-COVID Cognitive Dysfunction (Brain Fog).

A substantial number of patients develop cognitive dysfunction after contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), significantly contributing to long-coronavirus disease (COVID) morbidity. Despite the urgent and overwhelming clinical need, there are currently no proven interventions to treat post-COVID cognitive dysfunction (PCCD). Psychostimulants like methylphenidate may enhance both noradrenergic and dopaminergic pathways in mesolimbic and pre-frontal areas, thus improving memory and cognition. We present a case series of six patients who were treated at the Johns Hopkins Post-Acute COVID-19 Team (PACT) clinic for PCCD with methylphenidate 5 - 20 mg in the context of routine clinical care and followed for 4 to 8 weeks. Baseline and post-treatment outcomes included subjective cognitive dysfunction and objective performance on a battery devised to measure cognitive dysfunction in long-COVID patients. Three out of the six patients reported subjective improvement with methylphenidate, one patient described it as "notable" and another as "marked" improvement in memory and concentration. We also found significant pre-treatment subjective complaints of cognitive dysfunction; however, formal cognitive assessment scores were not severely impaired. A statistically significant difference in pre and post scores, favoring intervention, was found for the following cognitive assessments: Hopkins verbal learning test (HVLT) immediate recall, HVLT delayed recall and category-cued verbal fluency. The current series demonstrates promising neurocognitive effects of methylphenidate for long-COVID cognitive impairment, particularly in recall and verbal fluency domains.

Oculomotor Behaviour in Individuals with Long COVID-19.

OBJECTIVE: To determine, the impact of long COVID-19 on oculomotor behaviour. DESIGN: A case-control study. SETTING: Spanish Association of Persistent COVID. PARTICIPANT: Participants were 75 cases (64 women, 11 men, mean age 46.4 years ±8.9) and 42 controls (22 women, 20 men, mean age 53.5 years ±13.13). INTERVENTION: An eye-tracking test based on visual search paradigm and the Adult Developmental Eye Movement Test were used to evaluate the participants. MAIN MEASURES: The primary outcomes in the Adult Developmental Eye Movement Test were horizontal reading time, vertical reading time, and their ratio. And for the eye-tracking test the time to find the target, the duration, and the number of eye fixations. RESULTS: In cases and controls, eye movement test results were horizontal(Hadj) reading time 74.2 ± 22.7 s vs 52.0 ± 6.1 s (p < .0001); vertical(Vadj) reading time 67.6 ± 17.8 s vs 50.4 ± 6.9 s (p < .0001); Hadj/Vadj ratio 0.9 ± 0.1 vs 1.0 ± 0 (p = .0032), respectively; and eye-tracking test results were fixation number 11.3 ± 3.07 vs 3.51 ± 2.57 (p < .0001); fixation duration 2.01 ± 0.79 s vs 1.5 ± 0.4 s (p = .0013), and time to find target 24.5 ± 8.0 vs 18 ± 9.4 (p = .0034), respectively. CONCLUSIONS: Data showed a lower performance in oculomotor behaviour in people with long COVID-19, compared to healthy individuals. It cannot be affirmed an ocular musculature dysfunction; the differentiated behaviour could be associated to cognitive alterations affected in these people. Both tests used could be an useful tool for the clinical assessment of these participants. Further studies are needed to explore the utility of these procedures.

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.

Long COVID-19 and Suicide.

Suicide is a significant public health problem around the world. More than 90% of individuals who die by suicide have a diagnosable psychiatric disorder, and most persons who attempt suicide also have a psychiatric illness. Depression, anxiety, posttraumatic symptoms, sleep disturbances, decreased energy, and cognitive abnormalities are the most frequently reported psychiatric symptoms of long COVID. All these conditions are associated with suicidal ideation and behavior. Therefore, individuals with long COVID may be at increased risk of suicide. Recent studies of patients with long COVID confirm that individuals with long COVID are at increased suicide risk. It is vital to educate clinicians taking care of long COVID individuals that patients with long COVID may be suicidal, that it is essential to screen patients with long COVID for suicidality, and if needed, suicide prevention interventions should be employed.

Improving Pathways to Care for Ethnic Minority Communities.

It is well established that the COVID-19 pandemic has had a substantial impact on ethnic minority communities and has worsened existing health inequalities experienced by these populations globally. Individuals from ethnic minority backgrounds have not only been more likely to become infected with COVID-19 throughout the pandemic, but they have also higher risk of adverse symptoms and death following infection. Factors responsible for these discrepancies are wide reaching and encompass all aspects of the social determinants of health (SDoH). Although always an area of concern among healthcare professionals, barriers to health care experienced by ethnic minority populations became a more pertinent issue during the COVID-19 pandemic when all individuals required sufficient and sustained access to a healthcare system (whether this be for COVID-19 testing, vaccination or treatment). These healthcare barriers exacerbated the increased COVID-19 burden experienced by minority populations and will continue to detrimentally impact the health of these populations during future COVID-19 waves or indeed, future novel pandemics. This chapter aims to summarise the major healthcare barriers experienced by minority populations throughout the COVID-19 pandemic, including COVID-19 prevention, vaccine rollout, care during hospitalisation and post-COVID care for long COVID patients. To end, this chapter will summarise lessons learned and future directions that need to be taken to improve health disparities and healthcare access for minority populations in relation to the COVID pandemic and beyond.

Identification of the risk factors for insomnia in nurses with long COVID-19.

PURPOSE: To investigate the prevalence of insomnia among nurses with long COVID-19, analyze the potential risk factors and establish a nomogram model. METHODS: Nurses in Ningbo, China, were recruited for this study. General demographic information and insomnia, burnout, and stress assessment scores were collected through a face-to face questionnaire survey administered at a single center from March to May 2023. We used LASSO regression to identify potential factors contributing to insomnia. Then, a nomogram was plotted based on the model chosen to visualize the results and evaluated by receiver operating characteristic curves and calibration curves. RESULTS: A total of 437 nurses were recruited. 54% of the nurses had insomnia according to the Insomnia Severity Index (ISI) score. Eleven variables, including family structure, years of work experience, relaxation time, respiratory system sequelae, nervous system sequelae, others sequelae, attitudes toward COVID-19, sleep duration before infection, previous sleep problems, stress, and job burnout, were independently associated with insomnia. The R-squared value was 0.464, and the area under the curve was 0.866. The derived nomogram showed that neurological sequelae, stress, job burnout, sleep duration before infection, and previous sleep problems contributed the most to insomnia. The calibration curves showed significant agreement between the nomogram models and actual observations. CONCLUSION: This study focused on insomnia among nurses with long COVID-19 and identified eleven risk factors related to nurses' insomnia. A nomogram model was established to illustrate and visualize these factors, which will be instrumental in future research for identifying nurses with insomnia amid pandemic normalization and may increase awareness of the health status of healthcare workers with long COVID-19.

The use of acupuncture for addressing neurological and neuropsychiatric symptoms in patients with long COVID: a systematic review and meta-analysis.

Importance: Acupuncture has been used to treat neurological and neuropsychiatric symptoms in China and other parts of the world. These symptoms, such as fatigue, headache, cognitive impairment, anxiety, depression, and insomnia, are common in people experiencing long COVID. Objective: This study aims to explore the feasibility of acupuncture in the treatment of neurological and neuropsychiatric symptoms in long COVID patients. Data Sources: A systematic search was conducted in four English and four Chinese databases from inception to 23 June 2023. Literature selection and data extraction were conducted by two pairs of independent reviewers. Study Selection: Randomized controlled trials (RCTs) that explored the effect of acupuncture on fatigue, depression, anxiety, cognitive abnormalities, headache, and insomnia were included. Data Extraction and Synthesis: RCTs that explored the effect of acupuncture on fatigue, depression, anxiety, cognitive abnormalities, headache, and insomnia were included. A meta-analysis was performed using R software. Heterogeneity was measured using I2. Subgroup analyses were performed focusing on the duration of treatment and acupuncture modalities. The systematic review protocol was registered on PROSPERO (registration number: CRD42022354940). Main outcomes and measures: Widely adopted clinical outcome scales included the Fatigue Scale for assessing fatigue, the Hamilton Depression Rating Scale for evaluating depression, the Mini-Mental State Examination for assessing cognitive impairment, the Visual Analog Scale for headache severity, and the Pittsburgh Sleep Quality Index for measuring insomnia. Results: A total of 110 RCTs were included in the systematic review and meta-analysis. Overall, acupuncture was found to improve the scores of the Fatigue Scale (vs. medication: mean differences (MD): -2.27, P < 0.01; vs. sham acupuncture: MD: -3.36, P < 0.01), the Hamilton Depression Rating Scale (vs. medication: MD: -1.62, 95%, P < 0.01; vs. sham acupuncture: MD: -9.47, P < 0.01), the Mini-Mental State Examination (vs. medication: MD: 1.15, P < 0.01; vs. sham acupuncture: MD: 1.20, P < 0.01), the Visual Analog Scale (vs. medication: MD: -1.05, P < 0.01; vs. waitlist: MD: -0.48, P=0.04), and the Pittsburgh Sleep Quality Index (vs. medication: MD: -2.33, P < 0.01; vs. sham acupuncture: MD: -4.19, P < 0.01). Conclusion and relevance: This systematic review suggested acupuncture as a potentially beneficial approach for the treatment of neurological and neuropsychiatric symptoms, as assessed using clinical scales, and it may have applicability in long COVID patients. Further well-designed clinical studies specifically targeting long COVID patients are needed to validate the role of acupuncture in alleviating long COVID symptoms. Systematic Review Registration: PROSPERO, identifier [CRD42022354940].

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

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

Long COVID diagnostic with differentiation from chronic lyme disease using machine learning and cytokine hubs.

The absence of a long COVID (LC) or post-acute sequelae of COVID-19 (PASC) diagnostic has profound implications for research and potential therapeutics given the lack of specificity with symptom-based identification of LC and the overlap of symptoms with other chronic inflammatory conditions. Here, we report a machine-learning approach to LC/PASC diagnosis on 347 individuals using cytokine hubs that are also capable of differentiating LC from chronic lyme disease (CLD). We derived decision tree, random forest, and gradient-boosting machine (GBM) classifiers and compared their diagnostic capabilities on a dataset partitioned into training (178 individuals) and evaluation (45 individuals) sets. The GBM model generated 89% sensitivity and 96% specificity for LC with no evidence of overfitting. We tested the GBM on an additional random dataset (106 LC/PASC and 18 Lyme), resulting in high sensitivity (97%) and specificity (90%) for LC. We constructed a Lyme Index confirmatory algorithm to discriminate LC and CLD.