Sequelae of COVID-19 among previously hospitalized patients up to 1 year after discharge: a systematic review and meta-analysis

Risk tools for predicting long-term sequelae based on symptom profiles after known and undetected SARS-CoV-2 infections in the population

The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 infections and to generate tools for risk and diagnostic assessment of Post-COVID syndrome (PCS). In the population-based Gutenberg COVID-19 Study (N = 10,250), sequential, systematic screening for SARS-CoV-2 was performed in 2020/2021. Individuals received a standardized interview on newly occurred or worsened symptoms since the infection or the pandemic. Robust Poisson regression models were fit to compare the frequency of symptoms between groups. Two scores were developed using machine learning techniques and prospectively validated in an independent cohort. Among n = 942 individuals, prevalence of long-term symptoms was 36.4% among individuals with known SARS-CoV-2 infection, 25.0% in those unknowingly infected, and 28.1% among the controls. Individuals with known infection more often reported smell (Prevalence ratio [PR] = 13.66 [95% confidence interval 4.99;37.41]) and taste disturbances (PR = 5.57 [2.62;11.81]), forgetfulness (PR = 2.88 [1.55;5.35]), concentration difficulties (PR = 2.83 [1.55;5.16], trouble with balance (PR = 2.74 [1.18;6.35]), and dyspnea (PR = 2.22 [1.18;4.19]) than controls. The risk score for predicting long-term sequelae based on symptoms during the acute infection had a cross-validated AUC of 0.74 and 0.72 when applied in an independent cohort (N = 6,570). The diagnostic score providing a probability of the presence of PCS had a cross-validated AUC of 0.66 and of 0.64 in the validation cohort (N = 3,176). Individuals with and without SARS-COV-2 infection reported persistent symptoms, but symptoms attributable to PCS were identified. The data-driven scores may help guide further diagnostic decisions in the initial management of PCS.

Long-Term Health-Related Quality of Life Following Survival of Acute Respiratory Distress Syndrome and Extracorporeal Membrane Oxygenation Due to COVID-19

Background: Patients suffering from severe COVID-19 often develop acute respiratory distress syndrome (ARDS), necessitating intensive care unit (ICU) and extracorporeal membrane oxygenation (ECMO). Survivors frequently experience negative impacts on their health-related quality of life. These individuals may experience a range of symptoms and may require extended hospitalization and rehabilitation. The objective of this prospective cohort study was to assess the long-term health-related quality of life in intensive care survivors of COVID-19-related ARDS who received ECMO therapy, >18 months after their ICU discharge. Methods: The health-related quality of life of COVID-19 survivors who had received extracorporeal membrane oxygenation was evaluated using an augmented version of the Short-Form Health Survey-36, >18 months after their ICU discharge. The outcomes were compared to preexisting data from a meta-analysis analyzing patients with non-COVID-19 ARDS and ECMO therapy. Results: Of the 43 eligible patients (mean age 52 ± 9.5 years), 18 patients (46.2%) responded to the written invitation and were included in this study. The four subscales of the Short-Form Health Survey-36 survey, performed via telephone interview, that showed the most severe limitations (points) were role limitation due to physical problems (37.5), emotional problems (47.9), social functioning (38.1), and general health (49.2). The general health, energy/fatigue (vitality), and physical functioning significantly correlated with higher age (p = 0.004, p = 0.003, and p = 0.05, respectively). A longer duration of extracorporeal membrane oxygenation was positively associated with an improved energy/fatigue ratio (vitality) and emotional well-being (p = 0.04 and p = 0.02, respectively). Compared to survivors of non-COVID-19 ARDS treated with ECMO, the survivors in our cohort scored significantly lower on social functioning, physical functioning, and general health (p < 0.01, p = 0.02, p < 0.01). Conclusions: Patients who have recovered from intensive care treatment for COVID-19-related ARDS and have received ECMO therapy continue to experience more severe impairments in their physical, mental, and cognitive health-related quality of life. A longer ECMO duration may improve outcomes in this selected patient population.

Singing Voice Symptomatology Following Presumed SARS-CoV-2 Infection

The impact of continued COVID-19 sequelae on singers' vocal function has yet to be determined. An online survey of singers who have contracted SARS-CoV-2 infection was designed and administered globally. Participants (n = 1,153) were recruited in Africa, the Americas, Asia, Australia, and Europe. Survey questions included demographics, peri- and post-SARS-CoV-2 infection symptoms, and self-reported sequelae attributed to long-COVID. The survey was made available in English, Portuguese, Spanish, and Traditional and Simplified Mandarin Chinese. Data were statistically analyzed to provide a useful summary of the sample and to evaluate associations between long-COVID and singers' vocal function. We found that age, gender, and vaccination status were not significantly correlated to a change in singing voice in our sample. However, severity of infection was statistically correlated with a change in singing voice. Of the 34 signs and symptoms presented, lingering cough, shortness of breath, and chronic fatigue were significantly correlated with a change in singing voice. These data and their analyses have added to our understanding of this growing population's unique vocal needs, and may inform strategies for singing voice habilitation in COVID-19 survivors.

Global prevalence of post-COVID-19 condition: a systematic review and meta-analysis of prospective evidence

INTRODUCTION

We investigated the prevalence of new or persistent manifestations experienced by COVID-19 survivors at 3 or more months after their initial infection, collectively known as post-COVID-19 condition (PCC).

METHODS

We searched four electronic databases and major grey literature resources for prospective studies, systematic reviews, authoritative reports and population surveys. A random-effects meta-analysis pooled the prevalence data of 22 symptoms and outcomes. The GRADE approach was used to assess the certainty of evidence. PROSPERO CRD42021231476.

RESULTS

Of 20 731 identified references, 194 met our inclusion criteria. These studies followed 483 531 individuals with confirmed COVID-19 diagnosis over periods of up to 2 years. Most focused on adults, nearly two-thirds were conducted in Europe and 63% were of high or moderate quality. The supplementary search identified 17 systematic reviews, five authoritative reports and four population surveys that reported on PCC prevalence. Our analysis revealed that more than half of COVID-19 survivors experienced one or more symptoms more than a year after their initial infection. The most common symptoms were fatiguedyspneamemory, sleep or concentration disturbances; depressionand pain. Limitation in returning to work was the most common outcome. Prevalence tended to be higher among females, individuals hospitalized during their initial infection and those who experienced severe COVID-19 illness.

CONCLUSION

PCC presents a significant health burden, affecting some groups more than others. This information will help inform health care system policies and services for people living with PCC and those caring for them.

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.

COVID-19 pulmonary phenotypes and longitudinal patterns in the first wave of the pandemic

BACKGROUND

The long-term evolution of COVID-19 in patients hospitalized during the pandemic's first wave remains largely unexplored. This study aimed to identify COVID-19 pulmonary phenotypes and their longitudinal patterns over a 12-month follow-up.

METHODS

COVID-19 patients discharged from Pisa University Hospital (Italy) between March-September 2020, were evaluated at T3, T12, and T24 months post-discharge. Assessments included spirometry, lung volumes, DLCO, and chest CT for those with persistent pneumonia signs (PS). Latent transition analysis (LTA) identified COVID-19 phenotypes and longitudinal patterns based on PS and lung function (PFTs). Risk factors for these patterns were evaluated using multinomial logistic regression.

RESULTS

Of 307 discharged patients, 175, 136, and 33 were followed-up at T3, T12, and T24, respectively. At T12, 21.6 % had impaired DLCO, 4.4 % a restrictive ventilatory pattern, and 31,6 % still had PS, persisting until T24. LTA identified three cross-sectional phenotypes at both T3 and T12 (no PS with normal PFTs; PS with normal PFTs; PS with impaired PFTs), and four longitudinal patterns from T3 to T12: persistence of no PS with normal PFTs (47.9 %); resolution of both PS and PFTs (15.4 %); persistent PS (36.7 %), either with (11 %) or without (25.7 %) impaired PFTs. The last two patterns correlated significantly with longer hospitalization, more comorbidities, and severe COVID-19.

CONCLUSIONS

In our cohort of COVID-19 patients hospitalized during the pandemic's first wave, we observed distinct pulmonary phenotypes and longitudinal recovery patterns. More comorbidities and severe acute disease correlated with worse progression up to 24 months, suggesting long-term monitoring for such patients.

Prognostic implications of regional lung impairment evaluation in quantitative computed tomography imaging of COVID-19

AIM

To enhance the understanding of COVID-19 regional lung damage pattern by analyzing the organ in subregions, beyond the typical lobe segmentation.

MATERIALS AND METHODS

This study used semiautomatic computed tomography (CT) imaging segmentation and quantification to investigate regional lung impairments in patients with COVID-19. Each lung was divided into 12 regions, and the anatomical impairments obtained from the CT image (emphysema, ground glass opacity, and collapsed tissue) were quantified. Then, the results for every region were correlated with clinical outcomes. This research encompassed 333 individuals, both COVID positive (n = 190) and COVID negative (n = 143), whose medical reports were checked for the need for ventilatory support and outcome (cure or deceased).

RESULTS

Findings indicate a strong association between the extent of lung damage and COVID-19 diagnosis, the level of ventilatory assistance required, and patient survival rates. Notably, the medial posterior lung region exhibited increased opacities and collapse in COVID-positive patients (p < 0.05), particularly those requiring invasive ventilation or who succumbed to the illness.

CONCLUSION

The results expand the knowledge of COVID-19 regional impact beyond typical lobe segmentation and indicate that COVID-19 impairments in the lungs are localized. The most affected region identified was the medial posterior of both right and left lungs. Early detection of quantifiable lung damage can serve as a valuable prognostic tool, helping to pinpoint patients at heightened risk of severe complications or mortality.

Sex Differences in Long-Term Cardiovascular Outcomes and Mortality After COVID-19 Hospitalization During Alpha, Delta and Omicron Waves

Background: Increased mortality and occurrence of cardiovascular (CV) outcomes during hospitalization and in short-term follow-up for moderate to severe SARS-CoV-2 infection have been associated with male sex, yet data regarding long-term outcomes by sex and COVID-19 variant (Alpha, Delta, and Omicron) are limited. Methods: This prospective study of 4882 patients examines potential differences by sex in the occurrence of primary combined cardiovascular outcomes (CV death, CV hospitalization, myocardial infarction (MI), stroke, pulmonary embolism) as well as secondary outcomes (CV death, cardiovascular hospitalizations, myocardial infarction, stroke, pulmonary embolism) at 18-month follow-up after urgent hospitalization for SARS-CoV-2-associated pneumonia, as well as evaluating for differences during the three COVID-19 waves. Survival rate was analyzed for the entire cohort by sex and SARS-CoV-2 variant and adjusted for age using the multiple Kaplan-Meier method. To compare survival in groups of men and women for each wave, the Gehan-Wilcoxon test was applied with significance p < 0.05. Univariate Cox proportional hazards models were used to search for potential risk factors of CV death at 18-months follow-up separately for men and women in each COVID-19 wave. Results: Men had significantly higher 18-month CV mortality compared to women in the Delta wave (6.13% men vs. 3.62% women, p = 0.017). Although men had higher percentages of all other CV endpoints (excepting pulmonary embolism) at follow-up during the Delta wave, none were significant compared with women, except for the combined CV endpoint (16.87% men vs. 12.61% women, p = 0.017). No significant differences by sex in CV outcomes were seen during the Alpha and Omicron variants. Discrepancies in CV outcomes in demographical data and concomitant disease between the COVID-19 variants of concern existed. Conclusions: Higher male mortality and higher but non-significant incidences of CV outcomes occurred during the Delta wave of the COVID-19 pandemic, with the lowest incidence of CV outcomes observed during the Omicron variant.

Intestinal Inflammation and Permeability in Patients Recovered from SARS-CoV-2 Infection

INTRODUCTION

Different works suggest a close link between long COVID gastrointestinal (GI) manifestations and the post-infection disorders of gut-brain interaction (PI-DGBIs). However, the actual mechanisms underlying long-term GI sequelae are still not clear. Our study was aimed to assess both intestinal inflammation and permeability among subjects recovered from SARS-CoV-2 infection and their eventual correlation with long-term GI sequelae.

METHODS

Eighty-six subjects attending the post-COVID service and recovered from SARS-CoV-2 infection for 6 months were investigated for long COVID manifestations. Those subjects complaining of long-term GI symptoms were further evaluated by Rome IV questionnaire to assess PI-DGBIs. Intestinal inflammation (by fecal calprotectin, FC) and permeability (by serum and fecal levels of zonulin) were evaluated in all subjects. The Hospital Anxiety and Depression Scale (HADS) and the Gastrointestinal Quality of Life Index (GIQLI) questionnaires were further provided to all participants.

RESULTS

Thirty-seven subjects (43%) complained of long-term GI symptoms, while 49 subjects (57%) did not. Thirty-three subjects fulfilled Rome IV criteria for PI-DGBIs. FC values resulted higher in those subjects who did not complain GI symptoms (p = 0.03), although remaining quite close to the normal range. No significant differences were shown regarding the assessment of intestinal permeability. By GIQLI, long-term GI sequelae were inversely correlated with quality of life (p = 0.009).

CONCLUSION

Long COVID GI complaints unlikely recognize underlying local inflammatory mechanisms. Since the healthcare, economic, and social burden of post-COVID DGBIs, a deeper understanding of this emerging condition should be encouraged to improve management of the affected subjects.

Association Between Physical Activity Amount and Cardiorespiratory Fitness, Sleep Quality, and Health-Related Quality of Life in Patients With Long COVID: A Cross-sectional Study

OBJECTIVE

To investigate the association between physical activity (PA) amount and gender differences on cardiorespiratory fitness (CRF), sleep quality, and health-related quality of life (HRQoL) in individuals with long COVID.

DESIGN

Cross-sectional study.

SETTING

An integrated outpatient clinic for post-COVID-19 at a medical center.

PARTICIPANTS

Convenience sample of patients (N=264) diagnosed with long COVID.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

PA amounts, sleep quality, and HRQoL were measured by the International Physical Activity Questionnaire, Pittsburgh Sleep Quality Index, and the World Health Organization Questionnaire on Quality of Life: Short Form, respectively. CRF was evaluated through graded exercise testing.

RESULTS

The participants had a mean age of 42.5±13.5 years and a mean duration of post-COVID-19 symptoms of 12.7±6.8 weeks. More than half (n=149, 56.5%) were female patients. Female participants had significantly lower CRF than male participants (P<.05). Older age and higher body mass index were associated with worse CRF and HRQoL (P<.05). Less sitting behavior and greater amounts of vigorous-intensity PA (VPA) or total PA were associated with better CRF (P<.05). In addition, greater total PA and moderate-intensity PA (MPA) were associated with better sleep quality and HRQoL (P<.05), respectively.

CONCLUSIONS

Gender differences were found in CRF among patients with long COVID. Greater self-reported VPA or total PA was associated with better CRF, whereas greater total PA and MPA were associated with better sleep quality and HRQoL, respectively, in patients with long COVID. Further research is needed to explore these associations in longitudinal studies.

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.

Three-Month Follow-Up of the Post-COVID Syndrome after Admission to a Specialised Post-COVID Centre-A Prospective Study Focusing on Mental Health with Patient Reported Outcome Measures (PROMs)

BACKGROUND AND OBJECTIVE

The impairments and duration of PASC (post-acute sequelae of COVID-19) symptoms in mental health have, to date, not been comprehensively examined. Our objective is to provide longitudinal data on the mental health of Post-COVID patients and to identify risk and protective factors associated with a severe or prolonged course.

METHODS

The mental health of 265 Post-COVID patients of the outpatient Post-COVID centre of the University Hospital Erlangen was assessed 17.1 (T0) and 22.5 months after infection (T1). An online survey with validated questionnaires for Post-COVID symptoms (Post-COVID Syndrome Score), depression (Patient Health Questionnaire-9), somatic symptoms (Patient Health Questionnaire-15), anxiety (Generalized Anxiety Disorder-7), fatigue (Fatigue Severity Scale) and Post-Exertional Malaise (PEM) (DePaul Post-Exertional Malaise Screening) was conducted in the home environment.

RESULTS

In total, 80% of patients experienced severe PASC at follow-up. Clinically relevant symptoms of depression, persistent somatic symptoms, anxiety and fatigue were reported by 55.8%, 72.5%, 18.9% and 89.4% of patients, respectively. Depressive, anxiety and somatic symptom severity decreased significantly over time; fatigue and PEM remained at an unchanged high level. The risk factor for higher depression scores was older age; prior psychiatric illness treated with psychotherapy was associated with more severe depressive, somatic, anxiety and PASC symptoms. PEM symptoms were significantly associated with longer duration between acute infection and initial presentation in the Post-COVID centre.

CONCLUSIONS

Our findings align with previous research, claiming severe mental health symptoms in PASC syndrome, lasting for months after infection. In-depth assessment of risk and protective factors for the mental health implications of PASC is needed for the planning of health services and disease prevention.

Assessment of quality of life in follow-up patients with COVID-19 pneumonia: A prospective, observational study from a tertiary care center

Background

This study intended to assess the quality of life (QOL) with telephonic interview using the Short Form 12 (SF-12) Scale in follow-up patients admitted to the intensive care unit (ICU) with COVID-19 pneumonia.

Methods

This prospective, noninterventional follow-up study was conducted at a tertiary care center. COVID-19 pneumonia patients discharged from ICU were recruited for telephonic interviews. Interviews were performed using SF-12 Scale to assess QOL 6 months after discharge. The SF-12 survey measures general health status in eight domains. A radar chart was used for the interpretation of health component scores.

Results

One hundred and fifty patients could complete the telephonic interview. The first-stage depression risk was 50%, which was 30% more than general position incidence (20%). As compared to the general population, physical component summary (PCS-12) was 60% below and mental component summary (MCS-12) was 67% below the general norm. Role emotional was the most affected followed by role physical.

Conclusions

QOL in follow-up ICU patients with COVID-19 pneumonia was worse in terms of physical and mental scores. By employing a comprehensive, longitudinal assessment of QOL in follow-up patients, using validated SF-12 Scale, this study captures a multifaceted view of their health status postrecovery.

Objective and subjective cognitive status after intensive care unit treatment for COVID-19

Purpose

Intensive care unit (ICU) survivors can experience wide-ranging and long-lasting symptoms after hospital discharge. Cognitive impairment has received increased attention in relation to the COVID-19 pandemic and can affect patients' long-term quality of life. This study aimed to investigate the prevalence of cognitive impairment using an objective neurocognitive test 6 and 12 months following ICU admission and possible predictive factors for scoring below the defined cut-off. We also explored the prevalence of subjective cognitive complaints at 12 months, including the associated factors.

Methods

This was a prospective observational study of a national cohort of COVID-19 ICU survivors during the three first pandemic waves in Norway. Data was collected by the Norwegian Intensive Care and Pandemic Registry and the study group.

Results

At the six-month follow-up, 23.1% (95% CI [18.2─28.5]) of the 273 respondents scored below the cut-off on the Mini-MoCA, indicating mild cognitive impairment. At the 12-month follow-up, the prevalence declined to 11.1% (95% CI [7.5─15.6]) in 253 respondents. Older age (OR 1.06, 95% CI [1.02─1.12]) and depression (OR 1.25, 95% CI [1.07─1.55]) were associated with cognitive impairment at six months. At 12 months, almost half of the patients reported subjective cognitive complaints. Symptoms of mental health problems and fatigue were associated with subjective cognitive complaints in our exploratory analyses.

Conclusion

Cognitive impairment declined significantly from 6 to 12 months in this cohort of COVID-19 ICU patients, while subjective cognitive complaints remained high at 12 months, perhaps attributed to a high total symptom burden.

Occurrence, co-occurrence and persistence of symptoms of depression and post-traumatic stress disorder in survivors of COVID-19 critical illness

Background: Intensive care unit (ICU) admission and invasive mechanical ventilation (IMV) are associated with psychological distress and trauma. The COVID-19 pandemic brought with it a series of additional long-lasting stressful and traumatic experiences. However, little is known about comorbid depression and post-traumatic stress disorder (PTSD).Objective: To examine the occurrence, co-occurrence, and persistence of clinically significant symptoms of depression and PTSD, and their predictive factors, in COVID-19 critical illness survivors.Method: Single-centre prospective observational study in adult survivors of COVID-19 with ≥24 h of ICU admission. Patients were assessed one and 12 months after ICU discharge using the depression subscale of the Hospital Anxiety and Depression Scale and the Davidson Trauma Scale. Differences in isolated and comorbid symptoms of depression and PTSD between patients with and without IMV and predictors of the occurrence and persistence of symptoms of these mental disorders were analysed.Results: Eighty-nine patients (42 with IMV) completed the 1-month follow-up and 71 (34 with IMV) completed the 12-month follow-up. One month after discharge, 29.2% of patients had symptoms of depression and 36% had symptoms of PTSD; after one year, the respective figures were 32.4% and 31%. Coexistence of depressive and PTSD symptoms accounted for approximately half of all symptomatic cases. Isolated PTSD symptoms were more frequent in patients with IMV (p≤.014). The need for IMV was associated with the occurrence at one month (OR = 6.098, p = .005) and persistence at 12 months (OR = 3.271, p = .030) of symptoms of either of these two mental disorders.Conclusions: Comorbid depressive and PTSD symptoms were highly frequent in our cohort of COVID-19 critical illness survivors. The need for IMV predicted short-term occurrence and long-term persistence of symptoms of these mental disorders, especially PTSD symptoms. The specific role of dyspnea in the association between IMV and post-ICU mental disorders deserves further investigation.Trial registration: ClinicalTrials.gov identifier: NCT04422444.

A propensity score matched analysis of COVID-19 ongoing symptoms in primary medical staff members with different levels of stress in Jiangsu Province, China

Objective

Ongoing symptoms which originated from coronavirus disease 2019 (COVID-19) infections threaten the health of a broad population of patients. With recent changes in COVID-19 control measures in China, medical staff members are currently experiencing a high level of stress. This study aimed to investigate the prevalence of ongoing symptomatic COVID-19 and explore the potential association between stress and ongoing COVID symptoms.

Methods

From January 17th to February 2, 2023, primary medical staff members in Jiangsu Province were surveyed using a self-designed questionnaire. Univariate multinomial logistic analysis was used to illustrate the relationship between stress and ongoing symptoms after matching the low- and high-stress groups in a 1:1 ratio based on propensity scores.

Results

Analysis revealed that 14.83 % (3785/25,516) of primary medical staff members infected with COVID-19 experienced ongoing symptoms, the most common of which included cough (9.51 %), dyspnea (9.51 %), sleep problems (4.40 %), anxiety (2.29 %), and reproductive system symptoms (1.89 %). In matched patients, higher stress levels were associated with a greater risk of ongoing symptoms than in patients without ongoing symptoms for 14 of the 15 reported symptoms in this study (odds ratios [ORs] > 1 and P < 0.05). Moreover, higher levels of stress were associated with a greater risk of more ongoing symptoms, and the overall ORs increased with the number of symptoms (ORs >1 and P < 0.05).

Conclusion

To mitigate the possibility of experiencing ongoing symptoms, healthcare organizations and local authority agencies should institute helpful measures to decrease stress levels such as medical staff augmentation and enabling all staff to have a reasonable work-life balance.

Trajectory of anxiety/depressive symptoms and sleep quality in individuals who had been hospitalized by COVID-19: The LONG-COVID-EXP multicenter study

OBJECTIVE

To apply Sankey plots and exponential bar plots for visualizing the evolution of anxiety/depressive symptoms and poor sleep in previously hospitalized COVID-19 survivors.

METHODS

A sample of 1266 subjects who were hospitalized due to a SARS-CoV-2 from March-May 2020 were assessed at 8.4 (T1), 13.2 (T2) and 18.3 (T3) months after hospitalization. The Hospital Anxiety and Depression Scale was used to determine anxiety (HADS-A) and depressive (HADS-D) symptoms. The Pittsburgh Sleep Quality Index (PSQI) evaluated sleep quality. Clinical features, onset symptoms and hospital data were collected from medical records.

RESULTS

Sankey plots revealed that the prevalence of anxiety symptomatology (HADS-A ≥ 8 points) was 22.5% (n = 285) at T1, 17.6% (n = 223) at T2, and 7.9% (n = 100) at T3, whereas the prevalence of depressive symptoms (HADS-D ≥ 8 points) was 14.6% (n = 185) at T1, 10.9% (n = 138) at T2, and 6.1% (n = 78) at T3. Finally, the prevalence of poor sleep (PSQI≥8 points) decreased from 32.8% (n = 415) at T1, to 28.8% (n = 365) at T2, and to 24.8% (n = 314) at T3. The recovery curves show a decrease trend visualizing that these symptoms recovered the following years after discharge. The regression models did not reveal medical records associated with anxiety/depressive symptoms or poor sleep.

CONCLUSION

The use of Sankey plots shows a fluctuating evolution of anxiety/depressive symptoms and poor sleep during the first years after the infection. In addition, exponential bar plots revealed a decrease prevalence of these symptoms during the first years after hospital discharge. No risk factors were identified in this cohort.

Physical and cognitive correlates, inflammatory levels, and treatment response in post-COVID-19 first-onset vs. recurrent depressive episodes

Psychiatric symptoms have been frequently reported in patients affected by COVID-19, both as new occurring and recurrences of pre-existing diseases. Depressive symptoms are estimated to affect at least 30% of patients following infection, with specific physical and cognitive features and relevant immune-inflammatory alterations. This study aimed to retrospectively characterize post-COVID-19 first-onset and recurrent major depressive episodes (MDE) and to evaluate the effects of antidepressants on physical and cognitive correlates of depression, in addition to mood, anxiety, and underlying inflammatory status. We evaluated 116 patients (44.8% males, 51.1 ± 17 years) with post-COVID-19 first-onset (38.8%) and recurrent (61.2%) MDE at baseline and after one- and three-month treatment with antidepressants (31% SSRIs, 25.9% SNRIs, 43.1% others). We assessed sociodemographic and clinical features and psychopathological dimensions through: Hamilton Depression and Anxiety Rating Scales; Short Form-36 Health Survey Questionnaire; Perceived Deficits Questionnaire-Depression 5-items. The systemic immune-inflammatory index was calculated to measure inflammation levels. Alongside the reduction of depression and anxiety (p < 0.001), physical and cognitive symptoms improved (p < 0.001) and inflammatory levels decreased (p < 0.001) throughout treatment in both groups. Post-COVID-19 recurrent MDE showed a significantly more severe course of physical and cognitive symptoms and persistently higher levels of inflammation than first-onset episodes. Antidepressants proved to be effective in both post-COVID-19 first-onset and recurrent MDE. However, a sustained inflammatory status might blunt treatment response in patients with recurrent depression in terms of physical correlates and cognition. Therefore, personalized approaches, possibly involving combinations with anti-inflammatory compounds, could promote better outcomes in this clinical population.

Self-Reported Everyday Functioning After COVID-19 Infection

Importance

Changes in everyday functioning are crucial to assessing the long-term impact of COVID-19 infection.

Objective

To examine the impact of COVID-19 infection on everyday functioning 18 months after infection among veterans with and without histories of COVID-19 infection.

Design, Setting, and Participants

This cohort study used data from the US Veterans Affairs (VA) and included 186 veterans who had COVID-19 between October 2020 and April 2021 (ie, COVID-19 cohort) and 186 matched comparators who did not have documented COVID-19 infections (ie, control cohort). This match balanced the risk of COVID-19 based on 39 variables measured in the 24 months before infection or match, using principles of target trial emulation. Data were analyzed from December 2022 to December 2023.

Exposure

First documented COVID-19.

Main Outcome and Measures

The differences in self-reported everyday functioning 18 months after COVID-19 infection were estimated and compared with their matched comparators. Within-matched pair logistic and linear regressions assessed differences in outcomes and were weighted to account for sampling and nonresponse.

Results

Among the 186 matched pairs of participants, their weighted mean age was 60.4 (95% CI, 57.5 to 63.2) years among veterans in the COVID-19 cohort (weighted sample, 91 459 of 101 133 [90.4%] male; 30 611 [30.3%] Black or African American veterans; 65 196 [64.4%] White veterans) and 61.1 (95% CI, 57.8 to 64.4) years among their comparators in the control cohort (91 459 [90.4%] male; 24 576 [24.3%] Black or African American veterans; 70 157 [69.4%] White veterans). A high proportion of veterans in the COVID-19 cohort (weighted percentage, 44.9% [95% CI, 34.2% to 56.2%]) reported that they could do less than what they felt they could do at the beginning of 2020 compared with the control cohort (weighted percentage, 35.3%; [95% CI, 25.6% to 46.4%]; within-matched pair adjusted odds ratio [OR], 1.52 [95% CI, 0.79 to 2.91]). There was no association of documented COVID-19 infection with fatigue, substantial pain, limitations in either activities of daily living and instrumental activities of daily living, severely curtailed life-space mobility, employment, or mean health-related quality of life on a utility scale.

Conclusions and Relevance

In this cohort study of veterans with and without documented COVID-19, many reported a substantial loss of everyday functioning during the pandemic regardless of whether or not they had a documented infection with COVID-19. Future work with larger samples is needed to validate the estimated associations.

Changes in prevalence of anxiety and depression among COVID-19 patients during a two-year recovery period: A systematic review and meta-analysis

OBJECTIVE

To analyze the temporal trend of anxiety and depression prevalences up to 2 years of follow-up for COVID-19 patients during the recovery period and to compare regional differences.

METHODS

We performed a systematic review from PubMed, Embase, Web of Science, CNKI, Wanfang, and VIP using keywords such as "COVID-19", "anxiety", "depression", and "cohort study". Meta-analysis was performed to estimate the pooled prevalence of anxiety and depression at five follow-up time intervals. Subgroup analyses were conducted by different regions.

RESULTS

34 cohort studies were included in the meta-analyses. The pooled anxiety prevalence rates at 0-1 month, 1-3 months, 3-6 months, 6-12 months and 12-24 months were 18% (95% CI: 11% to 28%), 18% (95% CI: 12% to 28%), 22% (95% CI: 16% to 29%), 15% (95% CI: 11% to 21%), and 10% (95% CI: 0.05% to 20%), respectively, and the pooled depression prevalence rates were 22% (95%CI: 15% to 33%), 19% (95% CI: 13% to 29%), 21% (95% CI: 15% to 28%), 15% (95% CI: 11% to 20%), and 9% (95% CI: 0.4% to 21%) respectively. The prevalence of depression in Asian and non-Asian countries was statistically different at 0-1 month (χ2 = 15.248, P < 0.001) and 1-3 months (χ2 = 28.298, P < 0.001), and prevalence of anxiety was statistically different at 3-6 months (χ2 = 9.986, P = 0.002) and 6-12 months (χ2 = 7.378, P = 0.007).

CONCLUSION

The prevalence of anxiety and depression in COVID-19 patients generally tends to decrease after 2 years of recovery, but may temporarily increase at 3-6 months. There are regional differences in the changes in prevalence of anxiety and depression.

COVID-19, Possible Hepatic Pathways and Alcohol Abuse-What Do We Know up to 2023?

The pandemic period due to coronavirus disease 2019 (COVID-19) revolutionized all possible areas of global health. Significant consequences were also related to diverse extrapulmonary manifestations of this pathology. The liver was found to be a relatively common organ, beyond the respiratory tract, affected by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Multiple studies revealed the essential role of chronic liver disease (CLD) in the general outcome of coronavirus infection. Present concerns in this field are related to the direct hepatic consequences caused by COVID-19 and pre-existing liver disorders as risk factors for the severe course of the infection. Which mechanism has a key role in this phenomenon-previously existing hepatic disorder or acute liver failure due to SARS-CoV-2-is still not fully clarified. Alcoholic liver disease (ALD) constitutes another not fully elucidated context of coronavirus infection. Should the toxic effects of ethanol or already developed liver cirrhosis and its consequences be perceived as a causative or triggering factor of hepatic impairment in COVID-19 patients? In the face of these discrepancies, we decided to summarize the role of the liver in the whole picture of coronavirus infection, paying special attention to ALD and focusing on the pathological pathways related to COVID-19, ethanol toxicity and liver cirrhosis.

The incidence, characteristics, impact and risk factors of post-COVID chronic pain in Thailand: A single-center cross-sectional study

The COVID-19 pandemic has affected millions of individuals worldwide. Pain has emerged as a significant post-COVID-19 symptom. This study investigated the incidence, characteristics, and risk factors of post-COVID chronic pain (PCCP) in Thailand. A cross-sectional study was conducted in participants who had been infected, including those hospitalized and monitored at home by SARS-CoV-2 from August to September 2021. Data were collected for screening from medical records, and phone interviews were done between 3 to 6 months post-infection. Participants were classified into 1) no-pain, 2) PCCP, 3) chronic pain that has been aggravated by COVID-19, or 4) chronic pain that has not been aggravated by COVID-19. Pain interference and quality of life were evaluated with the Brief Pain Inventory and EuroQol Five Dimensions Five Levels Questionnaire. From 1,019 participants, 90% of the participants had mild infection, assessed by WHO progression scale. The overall incidence of PCCP was 3.2% (95% CI 2.3-4.5), with 2.8% (95% CI 2.0-4.1) in mild infection, 5.2% (95% CI 1.2-14.1) in moderate infection and 8.5% (95% CI 3.4-19.9) in severe infection. Most participants (83.3%) reported pain in the back and lower extremities and were classified as musculoskeletal pain and headache (8.3%). Risk factors associated with PCCP, included female sex (relative risk [RR] 2.2, 95% CI 1.0-4.9) and greater COVID-19 severity (RR 3.5, 95% CI 1.1-11.7). Participants with COVID-19-related exacerbated chronic pain displayed higher pain interferences and lower utility scores than other groups. In conclusion, this study highlights the incidence, features, and risk factors of post-COVID chronic pain (PCCP) in Thailand. It emphasizes the need to monitor and address PCCP, especially in severe cases, among females, and individuals with a history of chronic pain to improve their quality of life in the context of the ongoing COVID-19 pandemic.

Consistency of inconsistency in long-COVID-19 pain symptoms persistency: A systematic review and meta-analysis

INTRODUCTION

Individuals recovering from acute COVID-19 episodes may continue to suffer from various ongoing symptoms, collectively referred to as Long-COVID. Long-term pain symptoms are amongst the most common and clinically significant symptoms to be reported for this post-COVID-19 syndrome.

OBJECTIVES

This systematic review and meta-analysis aimed to evaluate the proportions of persisting pain symptoms experienced by individuals past the acute phase of COVID-19 and to identify their associated functional consequences and inflammatory correlates.

METHODS

Two online databases were systematically searched from their inception until 31 March 2022. We searched primary research articles in English, which evaluated individuals after laboratory-confirmed COVID-19 acute phase resolution and specifically reported on pain symptoms and their inflammatory and/or functional outcomes.

RESULTS

Of the 611 identified articles, 26 were included, used for data extraction, and assessed for their methodological quality and risk of bias by two independent reviewers. Pain symptoms were grouped under one of six major pain domains, serving as our primary co-outcomes. Proportional meta-analyses of pooled logit-transformed values of single proportions were performed using the random-effects-restricted maximum-likelihood model. An estimated 8%, 6%, 18%, 18%, 17%, and 12% of individuals continued to report the persistence of chest, gastrointestinal, musculoskeletal joint, musculoskeletal muscle, general body, and nervous system-related pain symptoms, respectively, for up to one year after acute phase resolution of COVID-19. Considerable levels of heterogeneity were demonstrated across all results. Functional and quality-of-life impairments and some inflammatory biomarker elevations were associated with the persistence of long-COVID pain symptoms.

CONCLUSION

This study's findings suggest that although not well characterized, long-COVID pain symptoms are being experienced by non-negligible proportions of those recovering from acute COVID-19 episodes, thus highlighting the importance of future research efforts to focus on this aspect.

Does SARS-CoV-2 infection cause persistent ocular symptoms?: A cross-sectional study after the lifting of lockdown in Chongqing, China

To confirm whether ocular symptoms and complaints related to the COVID-19 infection persist after recovery. A cross-sectional study was conducted on people who came to the healthcare center for regular physical examinations when the lockdown lifted for nearly 1 month. Ophthalmologists performed comprehensive ocular examinations. The infection history of COVID-19 was identified by a self-reported reverse transcription-PCR (RT-PCR) test of a nasopharyngeal swab sample for SARS-CoV-2 or a novel coronavirus antigen test with self-reported typical infection symptoms. Demographic data was collected from their healthcare reports. Ocular history and ocular symptoms were collected through face-to-face interviewing. Of a total of 308 participants, 264 (85.7%) reported COVID-19 infection; 73 (27.65%) of infected persons complained of various ocular symptoms during or after infection; and only 15 (5.68%) persons reported ocular symptoms after recovery. Infection significantly increased the complaints of red eye and eye pain compared to the time before knockdown. There were no significant differences between infections and noninfectious infections in various ocular examinations at the time of examination. The duration between the day of infection onset and examination day was unrelated to all ocular examinations. COVID-19 infection can lead to some ocular symptoms, especially conjunctival congestion and ocular pain in the infective stage, but may not cause persistent ocular symptoms in about 1 month after recovery. The results of this study may help relieve public concerns about coronavirus infection in the eyes. However, more studies on various coronavirus infections, with large sample sizes, are warranted in multi-center and community-based populations.

Trajectory of post-COVID brain fog, memory loss, and concentration loss in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP multicenter study

Objective

This study aimed to apply Sankey plots and exponential bar plots for visualizing the trajectory of post-COVID brain fog, memory loss, and concentration loss in a cohort of previously hospitalized COVID-19 survivors.

Methods

A sample of 1,266 previously hospitalized patients due to COVID-19 during the first wave of the pandemic were assessed at 8.4 (T1), 13.2 (T2), and 18.3 (T3) months after hospital discharge. They were asked about the presence of the following self-reported cognitive symptoms: brain fog (defined as self-perception of sluggish or fuzzy thinking), memory loss (defined as self-perception of unusual forgetfulness), and concentration loss (defined as self-perception of not being able to maintain attention). We asked about symptoms that individuals had not experienced previously, and they attributed them to the acute infection. Clinical and hospitalization data were collected from hospital medical records.

Results

The Sankey plots revealed that the prevalence of post-COVID brain fog was 8.37% (n = 106) at T1, 4.7% (n = 60) at T2, and 5.1% (n = 65) at T3, whereas the prevalence of post-COVID memory loss was 14.9% (n = 189) at T1, 11.4% (n = 145) at T2, and 12.12% (n = 154) at T3. Finally, the prevalence of post-COVID concentration loss decreased from 6.86% (n = 87) at T1, to 4.78% (n = 60) at T2, and to 2.63% (n = 33) at T3. The recovery exponential curves show a decreasing trend, indicating that these post-COVID cognitive symptoms recovered in the following years after discharge. The regression models did not reveal any medical record data associated with post-COVID brain fog, memory loss, or concentration loss in the long term.

Conclusion

The use of Sankey plots shows a fluctuating evolution of post-COVID brain fog, memory loss, or concentration loss during the first years after the infection. In addition, exponential bar plots revealed a decrease in the prevalence of these symptoms during the first years after hospital discharge. No risk factors were identified in this cohort.

Chain mediation model of consultation empathy, resilience and resignation coping on depression: a cross-sectional study among patients with COVID-19 in China

OBJECTIVES

This study aimed to explore the mediating role of resilience and resignation coping in the relationship between consultation empathy and depression in patients with COVID-19.

DESIGN

Cross-sectional study.

SETTING

Participants were recruited from a tertiary hospital in Guangzhou, Guangdong province.

PARTICIPANTS

A total of 215 patients were recruited for this study.

OUTCOME MEASURES

A total of 215 patients completed the Consultation and Relational Empathy Measure, Connor-Davidson Resilience Scale, Medical Coping Modes Questionnaire and Hospital Anxiety and Depression Scale. PROCESS 4.1 model 6 was used to analyse the moderated mediating effects.

RESULTS

Consultation empathy had a positive correlation with resilience (r=0.34, p<0.001), and a negative correlation with resignation (r=-0.288, p<0.001) and depression (r=-0.379, p<0.001). Resilience had a negative correlation with resignation (r=-0.463, p<0.001) and depression (r=-0.605, p<0.001). Resignation had a positive correlation (r=0.547, p<0.001) with depression. In the moderated mediating model, consultation empathy had significant indirect predictive effects on depression through resilience (95% CI -0.093 to -0.030) or resignation (95% CI -0.043 to -0.005). Consultation empathy had significant indirect predictive effects on depression through both resilience and resignation (95% CI -0.030 to -0.008).

CONCLUSIONS

Consultation empathy not only predicted depression directly, but also indirectly predicted depression through the chain mediating effects of resilience and resignation coping.

Treatable traits for long COVID

Long COVID, or post-acute COVID-19 sequelae, is experienced by an estimated one in eight adults following acute COVID-19. Long COVID is a new and complex chronic health condition that typically includes multiple symptoms that cross organ systems and fluctuate over time; a one-size-fits-all approach is, therefore, not likely to be appropriate nor relevant for long COVID treatment. 'Treatable Traits' is a personalized medicine approach, purpose-built to address the complexity and heterogeneity of complex chronic conditions. This comprehensive review aimed to understand how a treatable traits approach could be applied to long COVID, by first identifying the most prevalent long COVID treatable traits and then the available evidence for strategies to target these traits. An umbrella review of 22 systematic reviews identified 34 symptoms and complications common with long COVID, grouped into eight long COVID treatable trait clusters: neurological, chest, psychological, pain, fatigue, sleep impairment, functional impairment and other. A systematic review of randomized control trials identified 18 studies that explored different intervention approaches for long COVID prevention (k = 4) or management (k = 14). While a single study reported metformin as effective for long COVID prevention, the findings need to be replicated and consensus is required around how to define long COVID as a clinical trial endpoint. For long COVID management, current evidence supports exercise training or respiratory muscle training for long COVID treatable traits in the chest and functional limitation clusters. While there are studies exploring interventions targeting other long COVID treatable traits, further high-quality RCTs are needed, particularly targeting treatable traits in the clusters of fatigue, psychological, pain and sleep impairment.

Global prevalence of post-COVID-19 sleep disturbances in adults at different follow-up time points: A systematic review and meta-analysis

Our systematic review and meta-analysis estimated the prevalence of post-COVID sleep disturbances in adult population. We systematically searched relevant studies from four databases that reported post-COVID sleep disturbances prevalence with a mean or median follow-up duration of ≥28 days. We identified 153 eligible papers, with a total COVID-19 population of 252437. Employing multilevel mixed-effects meta-analyses, we estimated the overall pooled prevalence of post-COVID sleep disturbances being 28.98% (25.73-32.34), with the highest prevalence reported in Europe and the lowest in Southeast Asia. Poor sleep quality was the most prevalent definition of sleep disturbances, followed by excessive daytime sleepiness, insomnia, sleep apnea. Prevalence estimates were notably higher when measured with Epworth sleepiness scale, or Pittsburgh sleep quality index compared to symptom questionnaires, self-reports, or personal interviews. Female sex (Odds ratio, OR = 1.59, 1.38-1.83) and severe/critical acute COVID-19 (OR = 1.36, 1.09-1.69) emerged as substantial risk factors. Our review underscore the persistent prevalence of sleep disturbances among COVID-19 survivors, and the importance of factors such as geography, definition, measures of sleep disorders, sex, and severity of acute COVID-19 infection. These findings highlight the urgent need for further investigation into the underlying molecular mechanisms driving these sleep disturbances to develop effective therapeutic strategies.

Persistent clinical symptoms and their association with CM syndromes in post-COVID-19 rehabilitation patients in Hong Kong

Background

Heterogeneous clinical conditions were observed in individuals who had recovered from COVID-19 and some symptoms were found to persist for an extended period post-COVID. Given the non-specific nature of the symptoms, Chinese medicine (CM) is advantageous in providing holistic medical assessment for individuals experiencing persisting problems. Chinese medicine is a type of treatment that involves prescribing regimens based on CM Syndromes diagnosed by CM practitioners. However, inadequate research on CM elements behind the practice has faced scrutiny.

Methods

This study analysed 1058 CM medical records from 150 post-COVID-19 individuals via a semi-text-mining approach. A logistic model with MCMCglmm was then utilised to analyse the associations between the indicated factors and identified conditions. Calculations were performed using R Studio and related libraries.

Results

With the semi-text-mining approach, three common CM Syndromes (Qi and Yin Deficiency, Lung and Spleen Deficiency, Qi Deficiency of both Spleen and Lung) and nine clinical conditions (fatigue, poor sleep, dry mouth, shortness of breath, cough, headache, tiredness, sweating, coughing phlegm) were identified in the CM clinical records. Analysis via MCMCglmm revealed that the occurrence of persisting clinical conditions was significantly associated with female gender, existing chronic conditions (hypertension, high cholesterol, and diabetes mellitus), and the three persisting CM Syndromes. The current study triangulated the findings from our previous observational study, further showing that patients with certain post-COVID CM Syndromes had significantly increased log-odds of having persisting clinical conditions. Furthermore, this study elucidated that the presence of chronic conditions in the patients would also significantly increase the log-odds of having persistent post-COVID clinical conditions.

Conclusion

This study provided insights on mining text-based CM clinical records to identify persistent post-COVID clinical conditions and the factors associated with their occurrence. Future studies could examine the integration of integrating exercise modules, such as health qigong Liuzijue, into multidisciplinary rehabilitation programmes.

Increase in Chronic Medications and Polypharmacy-The Multifaceted Burden of COVID-19 Disease on Public Health Care

The long-term impact of COVID-19 disease is becoming a major global concern. In this retrospective monocentric analysis, we included consecutive subjects admitted to our COVID-19 Post-Acute Care Service for a SARS-CoV-2 infection that occurred between three and twelve months before. A home medication list relative to the period before SARS-CoV-2 infection (baseline) was recorded and compared with that one relative to the time of outpatient visit (follow-up). Drugs were coded according to the Anatomical Therapeutic Chemical Classification (ATC) System. In a total of 2007 subjects, at follow-up, a significant increase with respect to baseline was reported in the total median number of chronic medications (two [0-4] vs. one [0-3]) and in specific ATC-group drugs involving the alimentary, blood, cardiovascular, genitourinary, muscle-skeletal, nervous and respiratory systems. In a multivariate analysis, COVID-19 disease severity and age > 65 years resulted in the best predictors for an increase in the number of medications, while anti-SARS-CoV-2 vaccination played a significant protective role. The long-term care of patients infected by COVID-19 may be more complex than reported so far. Multidisciplinary and integrated care pathways should be encouraged, mainly in older and frailer subjects and for patients experiencing a more severe disease. Vaccination may also represent a fundamental protection against long-term sequelae.

Role of Endothelium in Cardiovascular Sequelae of Long COVID

The global action against coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2 infection, shed light on endothelial dysfunction. Although SARS-CoV-2 primarily affects the pulmonary system, multiple studies have documented pan-vascular involvement in COVID-19. The virus is able to penetrate the endothelial barrier, damaging it directly or indirectly and causing endotheliitis and multi-organ injury. Several mechanisms cooperate to development of endothelial dysfunction, including endothelial cell injury and pyroptosis, hyperinflammation and cytokine storm syndrome, oxidative stress and reduced nitric oxide bioavailability, glycocalyx disruption, hypercoagulability, and thrombosis. After acute-phase infection, some patients reported signs and symptoms of a systemic disorder known as long COVID, in which a broad range of cardiovascular (CV) disorders emerged. To date, the exact pathophysiology of long COVID remains unclear: in addition to the persistence of acute-phase infection mechanisms, specific pathways of CV damage have been postulated, such as persistent viral reservoirs in the heart or an autoimmune response to cardiac antigens through molecular mimicry. The aim of this review is to provide an overview of the main molecular patterns of enduring endothelial activation following SARS-CoV-2 infection and to offer the latest summary of CV complications in long COVID.

Functional status and quality of life in post-COVID-19 patients two to three weeks after hospitalization: A cross-sectional study

Background and Aims

Extended hospitalization due to coronavirus disease 2019 (COVID-19) is associated with residual musculoskeletal and functional deficits lasting even 6 months after discharge; therefore, it is crucial that post-hospitalized patients are promptly assessed. The aim of this study was to identify post-COVID-19 patients' functional status and quality of life, as well as to investigate their inter-relatedness 2-3 weeks after hospital discharge.

Methods

The study included 39 post-COVID-19 patients previously hospitalized in the Clinic for Infectious Diseases at the University Clinical Center of Kosovo (UCCK) from August to December 2021. Physiotherapeutic assessment encompassed socio-demographic and clinical data including Short Physical Performance Battery (SPPB) for physical functional performance, hand grip strength, 6-min Walk Test (6MWT) for aerobic capacity and endurance, EuroQol 5-Dimension 5-Level (EQ-5D-5L) for quality of life, Visual Analogue Scale (VAS) for pain, Borg CR10 for dyspnea, peripheral oxygen saturation and heart rate. Descriptive statistics, Pearson correlation, and multiple linear regression analysis were utilized for data processing.

Results

The median (interquartile range [IQR]) for Borg CR10, VAS pain scale, total SPPB, grip strength, and 6MWT were 1 (0-3), 3 (1-6), 9 (8-10), 30.5 (23.2-43.5) kg, 344.5 (312.7-381.7) m respectively, while the mean (SD) for EQ-5D-5L index value was 0.7 (0.2). The strongest and most significant correlation was depicted between SPPB total score and its subscales, followed by correlation with EQ-5D-5L (r = 0.719, p < 0.001), grip strength (r = 0.612 p < 0.001), Borg CR10 (r = -0.515, p = 0.001), 6MWT (r = 0.416, p = 0.02), and VAS scale (r = -0.343, p = 0.03). Using the multiple regression analysis, the grip strength, Borg-CR10, and 6MWT were found to be strongly predictive of SPPB total score.

Conclusion

In post-COVID-19 patients' functional status and quality of life were impaired 2-3 weeks following hospitalization. SPPB showed the most frequent and significant correlation with other variables, hence it should be considered as one of the primary screening tools.

A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge

Objectives

COVID-19 survivors suffer from persistent mental distress and impaired quality of life (QOL) after recovery from the infection. However, the symptom-symptom interaction between these psychological variables remained unexplored. The present study aimed to determine the symptom network of mental distress (depression, anxiety, sleep disturbance, fatigue, and post-traumatic stress disorder) and their association with QOL among 535 COVID-19 survivors 1 year after hospital discharge.

Methods

9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, Chalder fatigue scale, Impact of Event Scale-Revised, Pittsburgh Sleep Quality Index, and 36-Item Short-Form Health Survey were applied to measure depression, anxiety, fatigue, PTSD, sleep disturbances, and QOL, respectively. Two networks were estimated using Gaussian graphical model. Network 1 consisted of mental symptoms to determine the central and bridge symptoms. Network 2 additionally included QOL to determine which mental symptoms were mostly related to QOL.

Results

60% of the COVID-19 survivors experienced mental distress 1 year after hospital discharge. Uncontrollable and excessive worry, psychomotor symptoms, intrusion, and daytime dysfunction were the most central symptoms. Daytime dysfunction and fatigue (especially mental fatigue and loss of energy) served as the bridge symptoms across the mental distress network and exhibited the most substantial association with QOL.

Conclusion

Our study demonstrated several key symptoms that played a vital role in mental distress and QOL among COVID-19 survivors. Prompt screening and targeted interventions for these symptoms might hold great promise in preventing mental distress and improving QOL in COVID-19 survivors.

Trajectory of Post-COVID Self-Reported Fatigue and Dyspnoea in Individuals Who Had Been Hospitalized by COVID-19: The LONG-COVID-EXP Multicenter Study

Fatigue and dyspnoea are common post-COVID symptoms. The aim of this study was to apply Sankey plots and exponential bar plots for visualizing the evolution and trajectory of post-COVID fatigue and dyspnoea symptoms in a cohort of previously hospitalized COVID-19 survivors. A total of 1266 previously hospitalized patients due to COVID-19 participated in this multicentre study. They were assessed at hospital admission (T0), 8.4 months (T1), 13.2 months (T2) and 18.3 months (T3) after hospital discharge and were asked about the presence of self-reported fatigue or dyspnoea symptoms. Fatigue was defined as a self-perceived feeling of constant tiredness and/or weakness whereas dyspnoea was defined as a self-perceived feeling of shortness of breath at rest. We specifically asked for fatigue and dyspnoea that participants attributed to the infection. Clinical/hospitalization data were collected from hospital medical records. The prevalence of post-COVID fatigue was 56.94% (n = 721) at T1, 52.31% (n = 662) at T2 and 42.66% (n = 540) at T3. The prevalence of dyspnoea at rest decreased from 28.71% (n = 363) at hospital admission (T0), to 21.29% (n = 270) at T1, to 13.96% (n = 177) at T2 and 12.04% (n = 153) at T3. The Sankey plots revealed that 469 (37.08%) and 153 (12.04%) patients exhibited fatigue and dyspnoea at all follow-up periods. The recovery exponential curves show a decreased prevalence trend, showing that fatigue and dyspnoea recover the following three years after hospitalization. The regression models revealed that the female sex and experiencing the symptoms (e.g., fatigue, dyspnoea) at T1 were factors associated with the presence of post-COVID fatigue or dyspnoea at T2 and T3. The use of Sankey plots shows a fluctuating evolution of post-COVID fatigue and dyspnoea during the first two years after infection. In addition, exponential bar plots revealed a decreased prevalence of these symptoms during the first years after. The female sex is a risk factor for the development of post-COVID fatigue and dyspnoea.

Household costs and care seeking patterns associated with COVID-19 in Blantyre, Malawi

Economic consequences of COVID-19 illness and healthcare use for households in low income countries are not well known. We estimated costs associated with COVID-19 care-seeking and treatment from a household perspective and assessed determinants of treatment costs. A cross-sectional household survey was conducted between December 2020 and November 2021 in urban and peri-urban areas of Blantyre district. Adults (age ≥18 years) with confirmed COVID-19 were asked to report the symptoms they experienced or prompted them to seek COVID-19 tests as well as healthcare seeking behaviors preceding and following COVID-19 diagnosis. For individuals who sought healthcare, information on out-of-pocket expenditures incurred while seeking and receiving care including on transport, food etc. by both the patients and their guardians was collected. Finally, data on time use seeking, receiving care and during convalesces was recorded. Multivariate Generalized Linear Models were used to evaluate association between household COVID-19 costs and their determinants. Of 171 individuals who took part in the study, the average age was 40.7 years, standard deviation (SD) 15.0, and 50.8% were females. Most participants (85.3%) were symptomatic. Of these, 67.8% sought care at health facilities and the majority (91.7%) were treated as outpatients. The average total household cost associated with COVID-19 seeking, receiving care and convalescence was $62.81 (SD $126.02). Average costs for outpatient and inpatient cases were $52.96 (SD $54.35) and $172.39 (SD $407.08), respectively. Average out-of-pocket household expenditures were $42.62 (SD $123.10), accounting for 62% of total household costs. Being a male COVID-19 patient and engagement in formal employment were significantly associated with high COVID-19 household costs. Households face high economic burden related to COVID-19 sickness and healthcare use. Social policies that support households cope with both the direct and indirect COVID-19 cost are needed to ensure access to healthcare and protect households from COVID-19 related shocks.

Post-COVID symptom profiles and duration in a global convalescent COVID-19 observational cohort: Correlations with demographics, medical history, acute COVID-19 severity and global region

Background

Post-COVID conditions are characterised by persistent symptoms that negatively impact quality of life after SARS-CoV-2 diagnosis. While post-COVID risk factors and symptoms have been extensively described in localised regions, especially in the global north, post-COVID conditions remain poorly understood globally. The global, observational cohort study HVTN 405/HPTN 1901 characterises the convalescent course of SARS-CoV-2 infection among adults in North and South America and Africa.

Methods

We categorised the cohort by infection severity (asymptomatic, symptomatic, no oxygen requirement (NOR), non-invasive oxygen requirement (NIOR), invasive oxygen requirement (IOR)). We applied a regression model to assess correlations of demographics, co-morbidities, disease severity, and concomitant medications with COVID-19 symptom persistence and duration across global regions.

Results

We enrolled 759 participants from Botswana, Malawi, South Africa, Zambia, Zimbabwe, Peru, and the USA a median of 51 (interquartile range (IQR) = 35-66) days post-diagnosis, from May 2020 to March 2021. 53.8% were female, 69.8% were 18-55 years old (median (md) = 44 years old, IQR = 33-58). Comorbidities included obesity (42.8%), hypertension (24%), diabetes (14%), human immunodeficiency virus (HIV) infection (11.6%) and lung disease (7.5%). 76.2% were symptomatic (NOR = 47.4%; NIOR = 22.9%; IOR = 5.8%). Median COVID-19 duration among symptomatic participants was 20 days (IQR = 11-35); 43.4% reported symptoms after COVID-19 resolution, 33.6% reported symptoms ≥30 days, 9.9% reported symptoms ≥60 days. Symptom duration correlated with disease severity (P < 0.001, NIOR vs NOR; P = 0.003, IOR vs NOR), lung disease (P = 0.001), race (P < 0.05, non-Hispanic Black vs White), and global region (P < 0.001). Prolonged viral shedding correlated with persistent abdominal pain (odds ratio (OR) = 5.51, P < 0.05) and persistent diarrhoea (OR = 6.64, P < 0.01).

Conclusions

Post-COVID duration varied with infection severity, race, lung disease, and region. Better understanding post-COVID conditions, including regionally-diverse symptom profiles, may improve clinical assessment and management globally.

Registration

Clinicaltrials.gov (#NCT04403880).

The prolonged impact of COVID-19 on symptoms, health-related quality of life, fatigue and mental well-being: a cross-sectional study

Background

A subset of patients experience persisting symptoms after an acute COVID-19 infection, referred to as "post COVID-19 condition". This cross-sectional study aimed to compare symptoms, health-related quality of life (HRQoL), fatigue, mental well-being, and determinants of diminished HRQoL, between patients with post COVID-19 condition categorized by time since acute infection.

Methods

We performed an online survey and analyzed responses of 10,194 adult respondents with a confirmed or suspected COVID-19 infection, who experienced persisting symptoms ≥3 months after the initial infection. The most debilitating symptoms and health outcomes were studied separately for respondents 3-6, 7-9, 10-12, 13-18, 19-24, and >24 months after acute infection.

Results

At each time period, fatigue, sensory-processing problems, and concentration problems were the most debilitating symptoms reported by respondents, although the proportion of respondents who reported these symptoms differed significantly between time periods. Respondents 3-6 months post-acute infection had the lowest HRQoL (median EQ-5D utility score: 0.59), the highest fatigue level (median score: 110.0) and the highest proportion with a likely depressive disorder (32.4%), whereas respondents 13-18 months post-infection had the highest HRQoL (0.65), the lowest fatigue level (106.0), and the second lowest proportion with a likely depressive disorder (25.0%) (p = 0.000-0.007). Compared to those 13-18 and 19-24 months post-infection, respondents >24 months post-infection had a slightly lower HRQoL (0.60), lower fatigue level (108.0), and lower proportion with a likely depressive disorder (29.2%), although only the differences in HRQoL were statistically significant (p = 0.001-0.010). Younger age, female gender, lower level of education, not having paid work before COVID-19, comorbidity, and not being vaccinated, seemed to be associated with lower HRQoL.

Conclusion

Regardless of time since infection, respondents considered fatigue, sensory processing problems and concentration problems the most debilitating symptoms. They experienced a low HRQoL and severe fatigue, even more than two years after acute COVID-19 infection. Respondents 3-6 months post-infection had the worst health outcomes, whereas respondents 13-18 months post-infection had the best outcomes, indicating that, at least for a subgroup of patients, health status may improve over time.

[Post-COVID-19 syndrome]

In the aftermath of acute infection with the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2), a large number of symptoms persist or appear, constituting a real syndrome called "long COVID-19" or "post-COVID- 19" or "post-acute COVID-19 syndrome". Its incidence is very high, half of patients showing at least one symptom at 4-6 months after Coronarovirus infectious disease 2019 (COVID-19). They can affect many organs. The most common symptom is persistent fatigue, similar to that seen after other viral infections. Radiological pulmonary sequelae are relatively rare and not extensive. On the other hand, functional respiratory symptoms, primarily dyspnoea, are much more frequent. Dysfunctional breathing is a significant cause of dyspnoea. Cognitive disorders and psychological symptoms are also very common, with anxiety, depression and post-traumatic stress symptoms being widely described. On the other hand, cardiac, endocrine, cutaneous, digestive or renal sequelae are rarer. The symptoms generally improve after several months, even if their prevalence at two years remains significant. Most of the symptoms are favored by the severity of the initial illness, and the psychic symptoms by the female sex. The pathophysiology of most symptoms is poorly understood. The influence of the treatments used in the acute phase is also important. Vaccination, on the other hand, seems to reduce their incidence. The sheer number of affected patients makes long-term COVID-19 syndrome a public health challenge.

Novel clinical and immunological features associated with persistent post-acute sequelae of COVID-19 after six months of follow-up: a pilot study

BACKGROUND

Currently, there is scant information regarding the features associated to the persistence of post-COVID-19 syndrome, which is the main aim of the present study.

METHODS

A cohort study of 102 COVID-19 patients was conducted. The post-COVID-19 symptoms were assessed by a standardised questionnaire. Lymphocyte immunophenotyping was performed by flow cytometry and chemokines/cytokines, neutrophil extracellular traps, the tripartite motif 63, anti-cellular, and anti-SARS-CoV-2 IgG antibodies were addressed in serum. The primary outcome was the persistence of post-COVID-19 syndrome after six months follow-up.

RESULTS

Thirteen patients (12.7%) developed the primary outcome and had a more frequent history of post-COVID-19 syndrome 3 months after infection onset (p = .044), increased levels of IL-1α (p = .011) and IP-10 (p = .037) and increased CD57 expression in CD8⁺ T cells (p = .003). There was a trend towards higher levels of IFN-γ (p = .051), IL-1β (p = .062) and IL-6 (p = .087). The history of post COVID-19 in the previous 3 months, obesity, baseline serum MIP-1α and IP-10, and CD57 expression in CD8⁺ T cells were independently associated with the persistence of post-COVID-19 syndrome.

CONCLUSION

Our data suggest an important relationship between a pro-inflammatory state mediated through metabolic pathways related to obesity and increased cellular senescence as a key element in the persistence of post-COVID-19 syndrome at six months of follow-up.

Post-COVID condition: dispensation of drugs and diagnostic tests as proxies of healthcare impact

With the goal to increase knowledge on the healthcare impact of the post-COVID-19 condition we exploited the administrative claims database of Lombardy, the largest Italian region and the first after China to be heavily hit by the SARS-CoV-2 pandemic in February-May 2020. We chose to employ the dispensation of drugs and diagnostic tests as proxies of the impact of the post-COVID condition in 46,574 cases who recovered from COVID-19 and were negative at PCR testing within June 20, 2020. Data were obtained throughout the 18-month post-negativization period until December 2021 and results on the use of drugs and diagnostic tests were compared with those accrued in the same cases during the pre-COVID period in July-December 2019. After an increase in the first semester after SARS-CoV-2 negativization (July-December 2020), trends in the dispensation of drugs according to the broad ATC classes and of diagnostic tests decreased or remained substantially stable. However, dispensation of drugs for acid related disorders (A02), diabetes (A10), heparins (B01AB), direct oral anticoagulants (B01AP), antipsychotics (N05A), antidepressants (N06A) and for obstructive airways diseases (R03) was still higher than in the pre-COVID period. These findings, based upon drug and diagnostic test dispensation as proxies of the healthcare impact of the post-COVID condition, show that in a substantial proportion of recovered cases the post-COVID condition is active and clinically relevant 18 months after the acute disease. The findings also provide indirect evidence of the body organs and systems more compromised in the post-COVID period.

Patients' Post-/Long-COVID Symptoms, Vaccination and Functional Status-Findings from a State-Wide Online Screening Study

(1) Background: Better understanding of post-/long-COVID and limitations in daily life due to the symptoms as well as the preventive potential of vaccinations is required. It is unclear whether the number of doses and timepoint interrelate with the trajectory of post-/long-COVID. Accordingly, we examined how many patients positively screened with post-/long-COVID were vaccinated and whether the vaccination status and the timepoint of vaccination in relation to the acute infection were related to post-/long-COVID symptom severity and patients' functional status (i.e., perceived symptom severity, social participation, workability, and life satisfaction) over time. (2) Methods: 235 patients suffering from post-/long-COVID were recruited into an online survey in Bavaria, Germany, and assessed at baseline (T1), after approximately three weeks (T2), and approximately four weeks (T3). (3) Results: 3.5% were not vaccinated, 2.3% were vaccinated once, 20% twice, and 53.3% three times. Overall, 20.9% did not indicate their vaccination status. The timepoint of vaccination was related to symptom severity at T1, and symptoms decreased significantly over time. Being vaccinated more often was associated with lower life satisfaction and workability at T2. (4) Conclusions: This study provides evidence to get vaccinated against SARS-CoV-2, as it has shown that symptom severity was lower in those patients who were vaccinated prior to the infection compared to those getting infected prior to or at the same time of the vaccination. However, the finding that being vaccinated against SARS-CoV-2 more often correlated with lower life satisfaction and workability requires more attention. There is still an urgent necessity for appropriate treatment for overcoming long-/post-COVID symptoms efficiently. Vaccination can be part of prevention measures, and there is still a need for a communication strategy providing objective information about the usefulness and risks of vaccinations.

Late Complications of COVID-19; An Umbrella Review on Current Systematic Reviews

INTRODUCTION

Several clinical manifestations have been discovered for COVID-19 since the emergence of SARS-CoV-2, which can be classified into early, medium, and long-term complications. However, late complications can be present after recovery from acute COVID-19 illness. The present study aims to comprehensively review the available evidence of late complications related to COVID-19.

METHOD

A search was conducted, using keywords, through electronic databases, which included Scopus, Web of Science, PubMed, and Embase up to August 29, 2022. Study selection was performed according to a strict inclusion and exclusion criteria. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist was followed, and studies were appraised using the National Institute of Health (NIH) quality assessment and risk of bias tool.

RESULTS

In total, 50 studies were included, and nine distinct COVID-19 late complication categories were identified. A review of these studies revealed that neurologic and psychiatric (n=41), respiratory (n=27), musculoskeletal and rheumatologic (n=22), cardiovascular (n=9), and hepatic and gastrointestinal (n=6) complications were the most prevalent complications of long COVID-19.

CONCLUSION

Almost all human body systems are affected by late complications of COVID-19 with different severity and prevalence. Fatigue and some other neuropsychiatric symptoms are the most common late complications among long COVID-19 patients. Respiratory symptoms including dyspnea (during exercise), cough, and chest tightness were the next most prevalent long-term complications of COVID-19. Since these complications are persistent and late, being aware of the signs and symptoms is essential for the healthcare providers and patients.

Association of Kinesiophobia with Catastrophism and Sensitization-Associated Symptoms in COVID-19 Survivors with Post-COVID Pain

Pain symptoms after the acute phase of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are present in almost 50% of COVID-19 survivors. The presence of kinesiophobia is a risk factor which may promote and perpetuate pain. This study aimed to investigate variables associated with the presence of kinesiophobia in a sample of previously hospitalized COVID-19 survivors exhibiting post-COVID pain. An observational study was conducted in three urban hospitals in Spain, including one hundred and forty-six COVID-19 survivors with post-COVID pain. Demographic (age, weight, height), clinical (intensity and duration of pain), psychological (anxiety level, depressive level, sleep quality), cognitive (catastrophizing), sensitization-associated symptoms, and health-related quality of life variables were collected in 146 survivors with post-COVID pain, as well as whether they exhibited kinesiophobia. Stepwise multiple linear regression models were conducted to identify variables significantly associated with kinesiophobia. Patients were assessed a mean of 18.8 (SD 1.8) months after hospital discharge. Kinesiophobia levels were positively associated with anxiety levels (r: 0.356, p < 0.001), depression levels (r: 0.306, p < 0.001), sleep quality (r: 0.288, p < 0.001), catastrophism (r: 0.578, p < 0.001), and sensitization-associated symptoms (r: 0.450, p < 0.001). The stepwise regression analysis revealed that 38.1% of kinesiophobia variance was explained by catastrophism (r2 adj: 0.329, B = 0.416, t = 8.377, p < 0.001) and sensitization-associated symptoms (r2 adj: 0.381, B = 0.130, t = 3.585, p < 0.001). Kinesiophobia levels were associated with catastrophism and sensitization-associated symptoms in previously hospitalized COVID-19 survivors with post-COVID pain. Identification of patients at a higher risk of developing a higher level of kinesiophobia, associated with post-COVID pain symptoms, could lead to better therapeutic strategies.

Post-COVID-19 Syndrome Comprehensive Assessment: From Clinical Diagnosis to Imaging and Biochemical-Guided Diagnosis and Management

The COVID-19 outbreak was first reported in 2019, causing massive morbidity and mortality. The majority of the COVID-19 patients survived and developed Post-COVID-19 Syndrome (PC19S) of varying severity. Currently, the diagnosis of PC19S is achieved through history and symptomatology that cannot be explained by an alternative diagnosis. However, the heavy reliance on subjective reporting is prone to reporting errors. Besides, there is no unified diagnostic assessment tool to classify the clinical severity of patients. This leads to significant difficulties when managing patients in terms of public resource utilization, clinical progression monitorization and rehabilitation plan formulation. This narrative review aims to review current evidence of diagnosis based on triple assessment: clinical symptomatology, biochemical analysis and imaging evidence. Further assessment tools can be developed based on triple assessment to monitor patient's clinical progression, prognosis and intervals of monitoring. It also highlights the high-risk features of patients for closer and earlier monitoring. Rehabilitation programs and related clinical trials are evaluated; however, most of them focus on cardiorespiratory fitness and psychiatric presentations such as anxiety and depression. Further research is required to establish an objective and comprehensive assessment tool to facilitate clinical management and rehabilitation plans.

Vortioxetine improves physical and cognitive symptoms in patients with post-COVID-19 major depressive episodes

Major Depressive Episodes (MDE) following COVID-19 are frequent, can have a characteristic clinical picture, and are associated with immune-inflammatory changes. Vortioxetine is known to improve physical and cognitive performance in patients with depression and shows anti-inflammatory and anti-oxidative activities. This study aimed to retrospectively evaluate the effects of vortioxetine after 1 and 3 months of treatment in 80 patients (44.4% males, 54±17.2 years) with post-COVID-19 MDE. The primary outcome was improvement in physical and cognitive symptoms measured by specific items of Hamilton Depression Rating Scale (HDRS) and Hamilton Anxiety Rating Scale (HARS), Short Form-36 Health Survey Questionnaire (SF-36), Digit Symbol Substitution Test (DSST), Perceived Deficits Questionnaire for Depression (PDQ-D5). Changes in mood, anxiety, anhedonia, sleep, and quality of life were also investigated, as well as the underlying inflammatory status. Results show that, alongside reduction of depressive symptoms (HDRS, p<0.001), vortioxetine (mean dose: 10.1±4.1 mg/day) significantly improved physical features (all measurements p<0.001) and cognitive functioning (DDST, p=0.02; PDQ-D5, p<0.001) throughout treatment. We also observed significant reductions in inflammatory indexes. Therefore, vortioxetine might be a favorable therapeutic choice in post-COVID-19 patients with MDE because of its beneficial effects on physical complaints and cognition, features that appear to be specifically affected in relation to SARS-CoV-2 infection, and its good safety/tolerability profile. High prevalence and clinical and socioeconomic implications of COVID-19 consequences are a major public health concern and developing tailored, safe interventions is crucial to promote full functional recovery.

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

At present, there are more than 560 million confirmed cases of the coronavirus disease 2019 (COVID-19) worldwide. Although more than 98% of patients with severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection can survive acute COVID, a significant portion of survivors can develop residual health problems, which is termed as long COVID. Although severe COVID-19 is generally associated with a high risk of long COVID, patients with asymptomatic or mild disease can also show long COVID. The definition of long COVID is inconsistent and its clinical manifestations are protean. In addition to general symptoms, such as fatigue, long COVID can affect many organ systems, including the respiratory, neurological, psychosocial, cardiovascular, gastrointestinal, and metabolic systems. Moreover, patients with long COVID may experience exercise intolerance and impaired daily function and quality of life. Long COVID may be caused by SARS-CoV-2 direct injury or its associated immune/inflammatory response. Assessment of patients with long COVID requires comprehensive evaluation, including history taking, physical examination, laboratory tests, radiography, and functional tests. However, there is no known effective treatment for long COVID. Based on the limited evidence, vaccines may help to prevent the development of long COVID. As long COVID is a new clinical entity that is constantly evolving, there are still many unknowns, and further investigation is warranted to enhance our understanding of this disease.

Pulmonary Function Test as a Diagnostic Tool for Post-COVID-19 Effects

COVID-19-infected survivors are reporting persistent anomalies upon hospital discharge. After one year, a sizable percentage of COVID-19 survivors still have persistent symptoms affecting different bodily systems. Evidence suggests that the lungs are the most affected organs by COVID-19. It may also cause corollary and other medical issues. The literature on preceding COVID-19 infections reviews that patients may also experience chronic impairment in breathing characteristics after discharge. The outcome of COVID-19 may remain for weeks to months after the initial recovery. Our goal is to determine the superiority of the restrictive pattern, obstructive pattern, and adjusted diffusion in patients post-COVID-19 contamination and to explain the distinctive opinions of breathing characteristics used with those patients. Therefore, lung function tests were measured post-discharge for three to 12 months. According to estimates, 80% of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2)-infected patients experienced one or more chronic symptoms. Multidisciplinary teams are required to develop preventive measures, rehabilitation methods, and scientific control plans with a completely patient-centered attitude for long-term COVID-19 care. Clarifying the pathophysiologic mechanisms, creating and testing specific interventions, and treating patients with long-term COVID-19 are urgently needed. The goal of this review is to locate research evaluating COVID-19's long-term effects. A person who has suffered from COVID-19 in the past showed changes in their pulmonary function test. So, we have to notice the changes and recovery from post-COVID-19 effects. COVID-19 survivors were observed in an eventual observational study and continuously examined three, six, and 12 months after having COVID-19 infections. We evaluated the clinical features and concentrations of circulating pulmonary epithelial and endothelial markers in COVID-19 survivors with normal or lower diffusion capacity for carbon monoxide (DLCO) six months after discharge to analyze risk factors and underlying pathophysiology.

A descriptive study of the clinical impacts on COVID-19 survivors using telemonitoring (The TeleCOVID Study)

Background

There is increasing evidence that COVID-19 survivors are at increased risk of experiencing a wide range of cardiovascular complications post infection; however, there are no validated models or clear guidelines for remotely monitoring the cardiac health of COVID-19 survivors.

Objective

This study aims to test a virtual, in-home healthcare monitoring model of care for detection of clinical symptoms and impacts on COVID-19 survivors. It also aims to demonstrate system usability and feasibility.

Methods

This open label, prospective, descriptive study was conducted in South Western Sydney. Included in the study were patients admitted to the hospital with the diagnosis of COVID-19 between June 2021 and November 2021. Eligible participants after consent were provided with a pulse oximeter to measure oxygen saturation and a S-Patch EX to monitor their electrocardiogram (ECG) for a duration of 3 months. Data was transmitted in real-time to a mobile phone via Bluetooth technology and results were sent to the study team via a cloud-based platform. All the data was reviewed in a timely manner by the investigator team, for post COVID-19 related symptoms, such as reduction in oxygen saturation and arrhythmia.

Outcome measure

This study was designed for feasibility in real clinical setting implementation, enabling the study team to develop and utilise a virtual, in-home healthcare monitoring model of care to detect post COVID-19 clinical symptoms and impacts on COVID-19 survivors.

Results

During the study period, 23 patients provided consent for participation. Out of which 19 patients commenced monitoring. Sixteen patients with 81 (73.6%) valid tests were included in the analysis and amongst them seven patients were detected by artificial intelligence to have cardiac arrhythmias but not clinically symptomatic. The patients with arrhythmias had a higher occurrence of supraventricular ectopy, and most of them took at least 2 tests before detection. Notably, patients with arrhythmia had significantly more tests than those without [t-test, t (13) = 2.29, p < 0.05].

Conclusions

Preliminary observations have identified cardiac arrhythmias on prolonged cardiac monitoring in 7 out of the first 16 participants who completed their 3 months follow-up. This has allowed early escalation to their treating doctors for further investigations and early interventions.

Long-term Consequences of COVID-19: Chemosensory Disorders

PURPOSE OF REVIEW

A number of sequelae after acute coronavirus disease 2019 (COVID-19) significantly affect the quality of life of patients. The chemosensory disorders including olfactory dysfunction (OD) and gustatory dysfunction (GD) are two of the commonest symptoms complained by patients with COVID-19. Although chemosensory function has been reported improved in over 60% of COVID-19 patients in a short time after acute infection, it may last as a major symptom for patients with long COVID-19. This narrative review discussed current literatures on OD and GD in long COVID-19 including the prevalence, risk factors, possible mechanisms, and potential therapies.

RECENT FINDINGS

Although the prevalence of OD and GD has declined continuously after acute COVID-19, a considerable number of patients had persistent chemosensory disorders 3 months to 2 years after symptom onset. Female gender, initial severity of dysfunction, nasal congestion, emotional distress and depression, and SARS-CoV-2 variants have been identified as risk factors for persistent OD and GD in long COVID-19. The pathogenesis of OD and GD in long COVID-19 remains unknown, but may be analogous to the persistent OD and GD post common respiratory viral infection. Corticosteroids and olfactory training might be a potential choice regarding the treatment of lasting OD and GD after SARS-CoV-2 infection; however, more studies are needed to prove it. OD and GD are common long-term consequences of COVID-19 and influenced by gender, initial severity of dysfunction, emotional distress and depression, and SARS-CoV-2 variants. More studies are needed to illustrate their pathogenesis and to establish therapeutic strategies.

Association between COVID-19 and subsequent vascular events in primary care patients in Germany

OBJECTIVES

The aim of this study was to investigate the relationship between COVID-19 diagnosis and the risk of developing a first-ever vascular event (VE) compared with the same risk in those with respiratory tract infection (RTI).

STUDY DESIGN

This was a retrospective cohort study.

METHODS

This study using data from Disease Analyzer Database (IQVIA) included patients aged ≥18 years with at least one visit to a German practice during the index period. VEs were defined as cardiovascular or cerebrovascular events. Two cohorts were created: patients with a diagnosis of COVID-19 and those diagnosed with RTI. These were matched using propensity scores. Kaplan-Meier curves were created for the purposes of time to event analysis. A Poisson model was used to calculate incidence rates and derive incidence rate ratios (IRRs).

RESULTS

A total of 58,904 patients were matched. There was no significant association between COVID-19 diagnosis and increased incidence of VE events among females (IRR [95% confidence interval (CI)]: 0.96 [0.82-1.11] and 1.30 [0.88-1.81]) or males (IRR, 95% CI: 0.91 [0.78-1.05] and 1.13 [0.80-1.62]). Overall, no significant association between COVID-19 diagnosis and incidence of VE was observed across age categories except for cardiovascular vascular events in the age category ≥70 years (IRR [95% CI]: 0.78 [0.67-0.94]).

CONCLUSIONS

Overall, our study suggests that COVID-19 diagnosis was not associated with an increased risk of developing VE compared with RTI diagnosis. However, further research in a variety of healthcare settings and regions is needed to confirm these preliminary findings from our cohort, which is a good reflection of routine clinical practice in Germany.