Pulmonary long-term consequences of COVID-19 infections after hospital discharge

A Nomogram for Predicting Survival in Patients with SARS-CoV-2 Omicron Variant Pneumonia Based on Admission Data

Purpose

Patients with severe SARS-CoV-2 omicron variant pneumonia pose a serious challenge. This study aimed to develop a nomogram for predicting survival using chest computed tomography (CT) imaging features and laboratory test results based on admission data.

Patients and Methods

A total of 436 patients with SARS-CoV-2 pneumonia (323 and 113 in the training and validation groups, respectively) were enrolled. Pneumonitis volume, assessed on chest CT scans at admission, was used to identify low- and high-risk groups. Risk analysis was performed using clinical symptoms, laboratory findings, and chest CT imaging features. A predictive algorithm was developed using Cox multivariate analysis.

Results

The high-risk group had a shorter survival duration than the low-risk group. Significant differences in mortality rate, neutrophil and lymphocyte counts, C-reactive protein (CRP) concentration, and urea nitrogen level were observed between the two groups. In the training group, age, pneumonia volume, total bilirubin, and blood urea nitrogen were independent prognostic factors. In the validation group, age, pneumonia volume, neutrophil count, and CRP were independent prognostic factors. A personalized prediction model for survival outcomes was developed using independent predictors.

Conclusion

A personalized prediction model was created to forecast the 5-, 10-, 15-, 20-, and 30-day survival rates of patients with COVID-19 omicron variant pneumonia based on admission data, and can be used to determine the survival rate and early treatment of severe patients.

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

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

A Subgroup Reanalysis of the Efficacy of Bufei Huoxue Capsules in Patients With "Long-Covid-19"

Bufei huoxue capsules (BFHX), manufactured products of traditional Chinese medicine, have demonstrated anti-inflammatory properties and efficacy against chronic pulmonary diseases and COVID-19. This study was designed to further determine the clinical efficacy of BFHX in diverse patient subgroups during the convalescent phase of COVID-19, extending upon previously reported findings from a multicenter randomized controlled trial. Patients who had clinically recovered from COVID-19 were blindly assigned to BFHX or placebo groups. All enrolled patients underwent chest computed tomography (CT) imaging, 6-min walking distance (6MWD) test, and fatigue assessment inventory (FAI) at monthly follow-up for 3 months. A post hoc subgroup reanalysis was performed on subgroups of sex, age, severity of acute illness, and positive/negative IgG antibody against S antigen variants. A total of 129 patients were enrolled in BFHX (N = 64) and placebo groups (N = 65). The 6MWD and FAI scores were more significantly improved in females and mild patients than in males and severe patients after BFHX treatment. Lung CT image evaluated by the change in whole lung volume and mean CT value showed that the patients below 60 years gained more therapeutic effects after 3 months of BFHX treatment (p = 0.0008; p = 0.017; p = 0.0313, respectively). The subgroup reanalysis implies that the therapeutic effectiveness of BFHX in managing COVID-19 convalescence could potentially be influenced by factors including gender, age, and disease severity. Trial registration: This study was registered with the China Clinical Trial Registration Center (registration number: ChiCTR2000032573).

Maximal oxygen uptake, pulmonary function and walking economy are not impaired in patients diagnosed with long COVID

INTRODUCTION

SARS-CoV-2 may result in the development of new symptoms, known as long COVID, a few months after the original infection.

PURPOSE

It is elusive to what extent physical capacity in patients diagnosed with long COVID is impacted.

METHODS

We compared maximal oxygen uptake (V̇O2max), one of the single most important factors for cardiovascular health and mortality, expired lung volumes and air flow, oxygen cost of walking and 6-min-walking-test (6MWT), in 20 patients diagnosed with long COVID (11 males and 9 females; 44 ± 16 years (SD); 26.7 ± 3.8BMI, duration of acute phase 1.7 ± 1.2 weeks, tested 4 ± 3 months after long COVID diagnosis) with 20 healthy age and sex matched controls (11 males and 9 females; 44 ± 16 years; 25.9 ± 4.0BMI).

RESULTS

Long COVID patients had a V̇O2max of 41.4 ± 16.2 mL∙kg-1∙min-1(men) and 38.2 ± 7.5 (women) and this was not different from controls. Similarly, mean spirometry measures in the patient group (VC; FVC; FEV1; FEV1/FVC) were also not different (85-106%) from predicted healthy values. Finally, inclined treadmill (5%, 4 km∙h-1) walking economy was not different between the groups (long COVID: 15.2 ± 1.1 mL∙kg-1∙min-1; controls: 15.2 ± 1.2 mL∙kg-1∙min-1), while the 6MWT revealed a difference (long COVID: 606 ± 118 m; controls: 685 ± 85 m; p = 0.036).

CONCLUSION

V̇O2max, oxygen cost of walking, and spirometry measurements did not appear to be impaired in patients diagnosed with long COVID with a prior mild to moderate SARS-CoV-2 infection. The typical outcomes in these essential factors for health and longevity implies that while long COVID can present with a range of symptoms, caution should be made when attributing these symptoms directly to compromised pulmonary function or V̇O2max.

The Predictive Role of C-Reactive Protein, Leukocyte Cell Count, and Soluble Urokinase Plasminogen Activator Receptor for Pulmonary Sequelae in Hospitalized COVID-19 Survivors: A Prospective Single-Center Cohort Study

Background: Pulmonary function impairment significantly affects quality of life, work ability, and healthcare utilization. Among patients with COVID-19, respiratory symptoms vary in severity. This study aimed to assess whether biomarkers related to respiratory function and inflammation at emergency department (ED) admittance can predict long-term pulmonary function impairment in COVID-19 survivors. Methods: This prospective single-center study recruited patients 4-5 months post-COVID-19 infection using consecutive sampling. All attendees at the respiratory outpatient clinic were invited to participate. Pulmonary function tests, including diffusing capacity of the lungs for carbon monoxide (DLCO), total lung capacity (TLC), forced expiratory volume in the first second (FEV1), and forced vital capacity (FVC), were performed, with DLCO < 80% as the key indicator of impairment. Baseline biomarkers-C-Reactive Protein (CRP), leukocyte counts, and soluble urokinase Plasminogen Activator Receptor (suPAR)-were correlated with post-discharge DLCO values. Results: This study enrolled 110 patients with COVID-19; 58.2% were female, the median age was 61.5, and the average BMI was 27.2. Smoking history showed that 53.7% were never smokers, 43.5% were former smokers, and 2.8% were current smokers. A diffusion deficit (DLCO < 80%) was present in 48.6% of patients. Leukocyte counts and suPAR had the highest sensitivity (>0.80) for predicting DLCO impairment but showed low specificity and a positive predictive value (PPV) of around 0.50. However, combining all biomarkers improved prediction accuracy, with a negative predictive value (NPV) of 0.93. Conclusions: The chosen inflammatory biomarkers by themselves had a limited ability to predict long-term pulmonary function impairment in COVID-19 survivors. However, when combined, they demonstrated a high negative predictive value (NPV) for identifying DLCO impairment. This strategy could help clinicians better tailor follow-up care for patients with COVID-19.

Pioneering Respiratory and Emergency Medicine Research During the COVID-19 Era

Respiratory and emergency medicine have undergone significant transformations in recent years, shaped by advancements in critical care, the integration of artificial intelligence (AI), and the evolving understanding of post-infectious sequelae [...].

Cluster analysis of post-COVID-19 physical and mental health outcomes 3-6 months after SARS-CoV-2 infection: results of the French Prospective ALCOVID Cohort Study

OBJECTIVES

This study aims to characterise the diversity of post-COVID-19 physical and mental health outcomes, known as the post-COVID-19 condition (PCC), and the determining factors 3-6 months after acute SARS-CoV-2 infection.

DESIGN

This is a prospective cohort study.

SETTING

This study took place at the European Hospital of Marseille, France.

PARTICIPANTS

Participants include patients with acute COVID-19 treated as inpatients or outpatients.

INTERVENTIONS

Interventions include face-to-face assessment of physical and mental health symptoms.

MAIN OUTCOME MEASURES

Main outcome measures include symptom scores and scales, as well as paraclinical elements (thoracic CT scan, pulmonary functional tests). Multiple component analysis was used to identify clinical phenotypic clusters of PCC patients, as well as their initial comorbidity groups. A multinomial regression model was used to evaluate the association between the initial comorbidities and disease severity with PCC phenotype.

RESULTS

A total of 210 patients agreed to participate, of which 157 (75%) reported at least one symptom at the 3-6 months visit; mostly asthenia, dyspnoea, psychiatric disorders such as anxiety, depression, post-traumatic stress disorder and cognitive disorders. Four PCC clusters were recognised: (1) paucisymptomatic PCC (n=82, 39%); (2) physical sequelae PCC (n=39, 18.6%), (3) pre-existing pulmonary comorbidities PCC (n=29, 13.8%); and (4) functional somatic and/or mental symptoms PCC (n=60, 28.6%). In addition to their PCC symptoms, the patients in these clusters differed in terms of their demographic characteristics (sex), comorbidities and severity of COVID-19.

CONCLUSIONS

The four identified PCC clusters corresponded to distinct and coherent clinical and paraclinical entities, making it possible to consider adapted and personalised prognosis and therapeutic interventions.

Prevalence of cardiovascular symptoms in post-acute COVID-19 syndrome: a meta-analysis

BACKGROUND

Since its emergence in 2019, COVID-19 has continued to pose significant threats to both the physical and mental health of the global population, as well as to healthcare systems worldwide (Raman et al., Eur Heart J 43:1157-1172, 2022). Emerging evidence indicates that COVID-19 may lead to post-acute COVID-19 syndrome (PACS) with cardiovascular implications, potentially driven by factors such as ACE2 interaction with viruses, systemic inflammation, and endothelial dysfunction. However, there remains a limited amount of research on the cardiovascular manifestations of PACS, which may delay the development of optimal treatment strategies for affected patients. Therefore, it is crucial to investigate the prevalence of cardiovascular sequelae in COVID-19 patients and to determine whether COVID-19 infection acts as an independent risk factor for these outcomes.

METHODS

This meta-analysis adhered to PRISMA guidelines and was registered in PROSPERO (CRD42024524290). A systematic search of PubMed, Embase, and the Cochrane Library was conducted up to March 17, 2024. The primary outcomes included hypertension, palpitations, and chest pain, with pooled effect estimate reported as proportions and odds ratios (ORs) with 95% confidence intervals (CIs). Sensitivity and subgroup analysis were performed to assess the robustness of the results and to identify sources of heterogeneity.

RESULTS

A total of 37 studies, encompassing 2,965,467 patients, were included in the analysis. Pooled results from case-control studies revealed that, compared to the control group, the ORs of chest pain in the COVID-19 group was 4.0 (95% CI: 1.6, 10.0). The ORs for palpitation and hypertension were 3.4 (95% CI: 1.1, 10.2) and 1.7 (95% CI: 1.6, 1.8), respectively. The proportions of PACS patients experiencing chest pain, palpitation, and hypertension as sequelae were 22% (95% CI: 14%, 33%), 18% (95% CI: 13%, 24%), and 19% (95% CI: 12%, 31%), respectively.

CONCLUSIONS

Our findings indicate that 15% of COVID-19 patients experience cardiovascular sequelae. Furthermore, COVID-19 infection significantly increases the likelihood of developing these sequelae compared to uninfected individuals. Future research should prioritize investigating the underlying pathological mechanisms and developing targeted preventive and management strategies.

TRIAL REGISTRATION

CRD42024524290.

Functional Recovery of Adults Following Acute COVID-19: A Systematic Review and Meta-Analysis

OBJECTIVE

This systematic review and meta-analysis aimed to investigate the objective, functional recovery of patients more than 3 months after acute coronavirus disease 2019 (COVID-19) infection.

METHODS

Comprehensive database searches of EMBASE, PubMed/MEDLINE, Cochrane COVID-19 Study Register, CINAHL, and Google Scholar in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement were carried out until October 19, 2022. Data were extracted and agreed in duplicate. Data were narratively synthesized, and a series of meta-analyses were performed using the random-effects inverse variance method.

RESULTS

One-hundred six papers covering 20,063 patients, who were either hospitalized or not hospitalized with acute COVID-19 and were followed-up between 3 and 24 months, were included. Percentage predicted 6-minute walk distance at 3 months to <5 months was 84.3% (95% CI = 79.2-89.3; n = 21; I2 = 98.3%) and 92.5% (95% CI = 89.8-95.3; n = 9; I2 = 94.5%) at ≥11 months. Cardiopulmonary exercise testing revealed the percentage predicted peak oxygen consumption rate ($peak\dot{\mathsf{V}}{\mathsf{o}}_{\mathsf{2}}$) at 3 months to <5 months was 77.3% (95% CI = 71.0-83.7; n = 6; I2 = 92.3%) and 95.4% (95% CI = 87.1-103.6; n = 2; I2 = 77.3%) at ≥11 months. Mean handgrip strength was greatest at ≥11 months at 31.16 kg (95% CI = 19.89-42.43; n = 2; I2 = 98.3%) of all time points. All analyses showed marked heterogeneity.

CONCLUSION

Patients have reduced physical function more than 3 months after COVID-19 infection. Better physical function in multiple physical domains is found after a longer recovery time.

IMPACT

Physical function as measured by the 6-minute walk test, hand grip strength, and cardiopulmonary exercise testing is reduced at 3 months after COVID-19 infection and can remain over 11 months of follow-up. This protracted recovery following acute COVID-19 infection supports the need to assess physical function at any clinical follow-up, and further research into rehabilitation programs and intervention for patients who have not recovered.

Supplemental oxygen prescriptions after hospitalization for coronavirus disease 2019

BACKGROUND

The role of home oxygen therapy for patients recovering from Coronavirus Disease 2019 (COVID-19) pneumonia, characterized by impaired gas exchange, is not well-defined.

OBJECTIVES

To compare the characteristics, duration, odds of receiving, and continuing to receive home oxygen prescriptions between patients discharged home after COVID-19 pneumonia hospitalization and those discharged after non-COVID-19 pneumonia.

METHODS

From April 2020 to March 2021, 52,951 patients with COVID-19 pneumonia (53.6 % women, 64 % White) were identified, and from January 2019 to December 2019, 26,701 patients with non-COVID pneumonia (53.9 % women, 76.7 % White) were identified, using the Optum Clinformatics Data Mart Database. New oxygen prescriptions were identified through Healthcare Common Procedure Coding Systems codes. Propensity score matching adjusted for confounders, and Cox regression analysis was conducted to compare post-discharge oxygen use.

RESULTS

Following hospitalization, oxygen was prescribed to 52,951 patients with COVID-19 pneumonia and 26,701 patients with non-COVID pneumonia in the United States. The COVID-19 pneumonia group were four times more likely to be prescribed supplemental oxygen compared to the non-COVID-19 pneumonia group (OR 4.22; 95 % confidence interval [CI] 3.76-4.74). This trend persisted in sensitivity analyses: ICU patients (OR 4.05; 95 % CI 3.36-4.88) and those who received both ICU admission and mechanical ventilation (OR 3.84; 95 % CI 2.32-6.37). Hispanic patients had the highest likelihood of receiving a supplemental oxygen prescription after discharge (OR 6.75; 95 % CI 5.03-9.05).

CONCLUSIONS

Post-hospitalization, one in five patients with COVID-19 received prescriptions for supplemental oxygen, which was significantly higher than the proportion of patients with non-COVID-19 pneumonia.

Mexican Hispanics show significant improvement in lung function approximately 1 year after having severe COVID-19

The long-term effects of COVID-19 on lung function are not understood, especially for periods extending beyond 1 year after infection. This observational, longitudinal study investigated lung function in Mexican Hispanics who experienced severe COVID-19, focusing on how the length of recovery affects lung function improvements. At a specialized COVID-19 follow-up clinic in Yucatan, Mexico, lung function and symptoms were assessed in patients who had recovered from severe COVID-19. We used z-scores, and Wilcoxon's signed rank test to analyse changes in lung function over time. Lung function was measured twice in 82 patients: the first and second measurements were taken a median of 94 and 362 days after COVID-19 diagnosis, respectively. Initially, 61% of patients exhibited at least one of several pulmonary function abnormalities (lower limit of normal = -1.645), which decreased to 22% of patients by 390 days post-recovery. Considering day-to-day variability in lung function, 68% of patients showed improvement by the final visit, while 30% had unchanged lung function from the initial assessment. Computed tomography (CT) scans revealed ground-glass opacities in 33% of patients. One year after infection, diffusing capacity of the lungs for carbon monoxide z-scores accounted for 30% of the variation in CT fibrosis scores. There was no significant correlation between the length of recovery and improvement in lung function based on z-scores. In conclusion, 22% of patients who recovered from severe COVID-19 continued to show at least one lung function abnormality 1 year after recovery, indicating a prolonged impact of COVID-19 on lung health.

Understanding the mechanisms and treatments of long COVID to address future public health risks

The 2019 coronavirus disease (COVID-19), triggered by the severe acute respiratory syndrome coronavirus (SARS-CoV-2), has seen numerous individuals undergo and recover from it, drawing extensive attention to their health conditions. Extensive studies indicate that even after surpassing the acute phase of infection, patients continue to experience persistent symptoms such as fatigue, pain, depression, weakening, and anosmia. COVID-19 appears not to have concluded but rather to persist long-term in certain individuals, termed as "long COVID." This represents a heterogeneous ailment involving multiple organ systems, with a perceived complex and still elusive pathogenesis. Among patients with long COVID, observations reveal immune dysregulation, coagulation impairments, and microbial dysbiosis, considered potential mechanisms explaining sustained adverse outcomes post COVID-19. Based on the multifactorial nature, varied symptoms, and heterogeneity of long COVID, we have summarized several categories of current therapeutic approaches. Furthermore, the symptoms of long COVID resemble those of other viral illnesses, suggesting that existing knowledge may offer novel insights into long-term COVID implications. Here, we provide an overview of existing literature associated with long COVID and summarize potential mechanisms, treatment modalities, and other analogous conditions. Lastly, we underscore the inadequacies in long COVID treatment approaches and emphasize the significance of conducting further research and clinical trials.

Arterial stiffness in adults with Long COVID in sub-Saharan Africa

Severe acute coronavirus-2 (SARS-CoV-2) infection has been associated with endothelial damage, and impaired nitric oxide production, which results in arterial stiffness and increased risk of cardiovascular disease. Long COVID is a term used to describe the persistence or the development of new symptoms that can occur after an acute infection. Little is known about the association between arterial stiffness and Long COVID. An observational, cross-sectional study in which arterial stiffness was measured with pulse wave velocity (PWV) was carried out in 74 participants between 19 and 40 years old (53 with Long COVID, 21 age and gender-matched controls). Data was collected from participants between 1 and 9 months after acute COVID-19 infection using the Complior analyze unit protocol. The Long COVID group had higher carotid-radial-PWV (crPWV) than controls (10 m/s interquartile range [IQR] 8.5-11.2 m/s) versus 8.8 m/s (IQR 7.7-9.2 m/s) as was their carotid-radial-arterial stiffness index (crASI) (2.26 cm/ms (IQR 1.9-2.56 cm/ms) vs. 2.01 cm/ms (IQR 1.82-2.27 cm/ms); p < 0.05) in both. They also had more type-A waveforms, indicating increased arterial stiffening. Peripheral arterial stiffness was higher in adults with Long COVID than in controls who were never infected with SARS-CoV-2 as noted by the elevated levels of crPWV and crASI among adults with Long COVID.

Causal associations between severe COVID-19 and diseases of seven organs: a proteome-wide mendelian randomization study

The coronavirus disease 2019 (COVID-19) pandemic poses an enormous threat to public health worldwide. Many retrospective studies and case reports to date have shown associations between severe COVID-19 and diseases of multi-organs. However, the research on the causal mechanisms behind this phenomenon is neither extensive nor comprehensive. We conducted a proteome-wide Mendelian randomization (MR) study using summary statistics from a Genome-Wide Association Studies (GWAS) of severe COVID-19 and diseases related to seven organs: lung, spleen, liver, heart, kidney, testis, and thyroid, based on the European ancestry. The primary analytical method used is the radial inverse variance-weighted (radial IVW) method, supplemented with the inverse variance-weighted (IVW), weighted-median (WM), MR-Egger methods. Our findings have confirmed the association between severe COVID-19 and multiple organ-related diseases, such as Hypothyroidism, strict autoimmune (HTCBSA), Thyroid disorders (TD), and Graves' disease (GD). And we have also identified certain proteins that are associated with organ-related diseases, such as Superoxide Dismutase 2 (SOD2) and TEK Receptor Tyrosine Kinase (TEK), which are also considered potential drug targets. Phenotype scanning and sensitivity analyses were implemented to consolidate the results for Mendelian randomization. This study provides a compelling foundation for investigating COVID-19 caused diseases in future studies.

Association of pulmonary function test abnormalities and quality-of-life measures after COVID-19 infection

BACKGROUND

Long-COVID is a multisystem disease that can lead to significant impairments in health-related quality of life (HRQoL). Following COVID-19 infection, abnormalities on pulmonary function tests (PFT) are common. The primary aim of this study is to evaluate for any correlation between PFT abnormalities and impairment in HRQoL scores following COVID-19 infection.

METHODS

This is an analysis of a prospective cohort of patients in Louisville, KY who were infected with COVID-19. Data collected included demographics, past medical history, laboratory tests, PFTs, and several HRQoL questionnaires such as the EuroQol 5 Dimension HRQoL questionnaire (EQ-5D-5 L), Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire (PHQ-9), and Posttraumatic stress disorder checklist for DSM-5 (PCL-5). Descriptive statistics were performed, comparing PFTs (normal vs abnormal) and time since COVID-19 infection (3- vs 6- vs ≥ 12 months).

RESULTS

There were no significant differences in FEV1, FVC, or the percentage of patients with abnormal PFTs over time after COVID-19 infection. Following COVID-19, patients with normal PFTs had worse impairment in mobility HRQoL scores and change in GAD-7 scores over time. There were no differences over time in any of the HRQoL scores among patients with abnormal PFTs.

CONCLUSIONS

Among patients with an abnormal PFT, there was no temporal association with HRQoL scores as measured by EQ-5D-5 L, GAD-7, PHQ-9, and PCL-5. Among patients with a normal PFT, mobility impairment and anxiety may be associated with COVID-19 infection. Following COVID-19 infection, impairment in HRQoL scores is not completely explained by the presence of abnormalities on spirometry.

[Dyspnea in post-COVID-19 patients: A review]

New coronavirus infection may lead to long-term consequences, particularly to post-COVID syndrome, one of the most common manifestations of which is dyspnea. Post-COVID-19 shortness of breath may persist from one to several months and even years that results in low quality of life of patients. The review highlights possible risk factors and causes of dyspnea in post-COVID period such as lung damage, cardiovascular pathology, hyperventilation syndrome, dysfunction of the autonomic nervous system, detraining, anemia, etc. The authors present data about COVID-19-associated causes of dyspnea and severity of acute COVID-19. The review emphasizes the importance of a multidisciplinary approach to the diagnosis and treatment of patients with shortness of breath in post-COVID-19 period.

Impacts of COVID-19 pandemic prevention measures to the palliative care in Taiwan

Background

Prevention measures for palliative care and the provision of discharge planning services for inpatients in Taiwan before and during the COVID-19 pandemic had not been investigated. This study was aimed to investigate the factors associated with heightened palliative care needs and increased mortality rates.

Methods

This research adopts a retrospective case-control study design. The investigation encompasses patients admitted before the pandemic (from January 1, 2019, to May 31, 2019) and during the COVID-19 pandemic (from January 1, 2020, to May 31, 2020). The case group consisted of 231 end-of-life inpatients during the pandemic, control group was composed of the pool of inpatients with pre-pandemic and matched with cases by sex and age in a 1:1 ratio.

Results

The results showed that the prevalence of respiratory failure symptoms (p = 0.004), residing in long-term care facilities (p = 0.017), palliative care needs assessment scores (p = 0.010), as well as the provision of guidance for nasogastric tube feeding (p = 0.002), steam inhalation (p = 0.003), turning and positioning (p < 0.001), percussion (p < 0.001), passive range of motion (p < 0.001), and blood pressure measurement (p < 0.001). Furthermore, the assessment of the necessity for assistive devices, including hospital beds, also exhibited statistically significant variations (p < 0.001). Further investigation of the factors associated with high palliative care needs and the risk of mortality for both the case and control groups. Risk factors for high palliative care needs encompassed assessments of daily activities of living, the presence of pressure ulcers, and the receipt of guidance for ambulation. Risk factors for mortality encompassed age, a diagnosis of cancer, palliative care needs assessment scores, and the provision of guidance for disease awareness.

Conclusion

This research highlights the heightened risk of COVID-19 infection among end-of-life inpatients during the COVID-19 pandemic. The findings of this study may advance care planning to alleviate avoidable suffering. To meet the needs of inpatients during pandemic, healthcare professionals should undergo comprehensive palliative care training and receive policy support.

Healthcare utilization 9 months pre- and post- COVID-19 hospitalization among patients discharged alive

BACKGROUND

Emerging evidence suggests that there is an increase in healthcare utilization (HCU) in patients due to Coronavirus Disease 2019 (COVID-19). We investigated the change in HCU pre and post hospitalization among patients discharged home from COVID-19 hospitalization for up to 9 months of follow up.

STUDY DESIGN AND METHODS

This retrospective study from a United States cohort used Optum® de-identified Clinformatics Data Mart; it included adults discharged home post hospitalization with primary diagnosis of COVID-19 between April 2020 and March 2021. We evaluated HCU of patients 9 months pre and post -discharge from index hospitalization. We defined HCU as emergency department (ED), inpatient, outpatient (office), rehabilitation/skilled nursing facility (SNF), telemedicine visits, and length of stay, expressed as number of visits per 10,000 person-days.

RESULTS

We identified 63,161 patients discharged home after COVID-19 hospitalization. The cohort of patients was mostly white (58.8%) and women (53.7%), with mean age 72.4 (SD± 12) years. These patients were significantly more likely to have increased HCU in the 9 months post hospitalization compared to the 9 months prior. Patients had a 47%, 67%, 65%, and 51% increased risk of ED (rate ratio 1.47; 95% CI 1.45-1.49; p < .0001), rehabilitation (rate ratio 1.67; 95% CI 1.61-1.73; p < .0001), office (rate ratio1.65; 95% CI 1.64-1.65; p < .0001), and telemedicine visits (rate ratio 1.5; 95% CI 1.48-1.54; p < .0001), respectively. We also found significantly different rates of HCU for women compared to men (women have higher risk of ED, rehabilitation, and telemedicine visits but a lower risk of inpatient visits, length of stay, and office visits than men) and for patients who received care in the intensive care unit (ICU) vs those who did not (ICU patients had increased risk of ED, inpatient, office, and telemedicine visits and longer length of stay but a lower risk of rehabilitation visits). Outpatient (office) visits were the highest healthcare service utilized post discharge (64.5% increase). Finally, the risk of having an outpatient visit to any of the specialties studied significantly increased post discharge. Interestingly, the risk of requiring a visit to pulmonary medicine was the highest amongst the specialties studied (rate ratio 3.35, 95% CI 3.26-3.45, p < .0001).

CONCLUSION

HCU was higher after index hospitalization compared to 9 months prior among patients discharged home post-COVID-19 hospitalization. The increases in HCU may be driven by those patients who received care in the ICU.

Lung Ultrasonography in the Evaluation of Late Sequelae of COVID-19 Pneumonia-A Comparison with Chest Computed Tomography: A Prospective Study

The onset of the COVID-19 pandemic allowed physicians to gain experience in lung ultrasound (LUS) during the acute phase of the disease. However, limited data are available on LUS findings during the recovery phase. The aim of this study was to evaluate the utility of LUS to assess lung involvement in patients with post-COVID-19 syndrome. This study prospectively enrolled 72 patients who underwent paired LUS and chest CT scans (112 pairs including follow-up). The most frequent CT findings were ground glass opacities (83.3%), subpleural lines (72.2%), traction bronchiectasis (37.5%), and consolidations (31.9%). LUS revealed irregular pleural lines as a common abnormality initially (56.9%), along with subpleural consolidation >2.5 mm ≤10 mm (26.5%) and B-lines (26.5%). A strong correlation was found between LUS score, calculated by artificial intelligence percentage involvement in ground glass opacities described in CT (r = 0.702, p < 0.05). LUS score was significantly higher in the group with fibrotic changes compared to the non-fibrotic group with a mean value of 19.4 ± 5.7 to 11 ± 6.6, respectively (p < 0.0001). LUS might be considered valuable for examining patients with persistent symptoms after recovering from COVID-19 pneumonia. Abnormalities identified through LUS align with CT scan findings; thus, LUS might potentially reduce the need for frequent chest CT examinations.

What Role Does Microthrombosis Play in Long COVID?

Soon after the outbreak of coronavirus disease 2019 (COVID-19), unexplained sustained fatigue, cognitive disturbance, and muscle ache/weakness were reported in patients who had recovered from acute COVID-19 infection. This abnormal condition has been recognized as "long COVID (postacute sequelae of COVID-19 [PASC])" with a prevalence estimated to be from 10 to 20% of convalescent patients. Although the pathophysiology of PASC has been studied, the exact mechanism remains obscure. Microclots in circulation can represent one of the possible causes of PASC. Although hypercoagulability and thrombosis are critical mechanisms of acute COVID-19, recent studies have reported that thromboinflammation continues in some patients, even after the virus has cleared. Viral spike proteins and RNA can be detected months after patients have recovered, findings that may be responsible for persistent thromboinflammation and the development of microclots. Despite this theory, long-term results of anticoagulation, antiplatelet therapy, and vascular endothelial protection are inconsistent, and could not always show beneficial treatment effects. In summary, PASC reflects a heterogeneous condition, and microclots cannot explain all the presenting symptoms. After clarification of the pathomechanisms of each symptom, a symptom- or biomarker-based stratified approach should be considered for future studies.

Crucial role played by CK8+ cells in mediating alveolar injury remodeling for patients with COVID-19

The high risk of SARS-CoV-2 infection and reinfection and the occurrence of post-acute pulmonary sequelae have highlighted the importance of understanding the mechanism underlying lung repair after injury. To address this concern, comparative and systematic analyses of SARS-CoV-2 infection in COVID-19 patients and animals were conducted. In the lungs of nine patients who died of COVID-19 and one recovered from COVID-19 but died of unrelated disease in early 2020, damage-related transient progenitor (DATP) cells expressing CK8 marker proliferated significantly. These CK8+ DATP cells were derived from bronchial CK5+ basal cells. However, they showed different cell fate toward differentiation into type I alveolar cells in the deceased and convalescent patients, respectively. By using a self-limiting hamster infection model mimicking the dynamic process of lung injury remodeling in mild COVID-19 patients, the accumulation and regression of CK8+ cell marker were found to be closely associated with the disease course. Finally, we examined the autopsied lungs of two patients who died of infection by the recent Omicron variant and found that they only exhibited mild pathological injury with no CK8+ cell proliferation. These results indicate a clear pulmonary cell remodeling route and suggest that CK8+ DATP cells play a primary role in mediating alveolar remodeling, highlighting their potential applications as diagnostic markers and therapeutic targets.

Incidence and risk factors for long COVID in children with COVID-19 pneumonia

BACKGROUND AND OBJECTIVE

There are only a few reports of long COVID including pulmonary function in children after COVID-19 pneumonia. We determined the incidence of long COVID and abnormal pulmonary function in those children and identify risk factors.

METHODS

This cohort study enrolled children admitted with COVID-19 pneumonia during 2021-2022. We gathered clinical characteristics during admission and at follow-up 3 months after.

RESULTS

We determined the incidence of long COVID at 39.7% (95% confidence interval [CI]: 30.7%-49.1%). All severe pneumonia cases consistently reported persistent symptoms. Exercise intolerance, cough, and fatigue were the three most common persistent symptoms in 26 (22.4%), 21 (18.1%), and 18 (15.5%) of the patients, respectively. At the follow-up, 21 cases (18.1%) demonstrated persistent abnormal chest radiographs. Three cases (6.9%) demonstrated restrictive ventilatory defects. Among those, one case (2.3%) demonstrated concomitant diffusion defect. Three cases (6.0%) demonstrated exercise-induced hypoxemia after the 6-minute walk test. Comparing spirometry variables between children with long COVID and without revealed significant difference of FEF25-75 (z score) between two groups. Age [adjusted OR (95% CI): 1.13 (1.05-1.22), p value 0.002], allergic diseases [adjusted OR (95% CI): 4.05 (1.36-12.06), p value 0.012], and living in polluted areas [adjusted OR (95% CI): 2.73 (1.18-6.33), p value 0.019] were significantly associated with long COVID.

CONCLUSION

A significant percentage of children developed long COVID after COVID-19 pneumonia. We should give additional attention to those who have exercise intolerance, chronic cough, or fatigue, especially older children, severe cases, children with allergic diseases, and those living in polluted areas.

One-year follow-up of COVID-19 recoverees with impaired pulmonary function: A prospective cohort study

Decreased diffusion capacity for carbon monoxide (DLCO) is the most prevalent pulmonary testing abnormality among COVID-19 recoverees. We prospectively followed 51 individuals with impaired DLCO at an average of ∼3 months following COVID-19 and re-examined them at one year. At follow-up, mean DLCO increased from 68.0 % to 72.6 % (p = 0.002); while 33 % of the cohort experienced a clinically significant rise (>10 points) in DLCO, only 29 % normalized their values. While DLCO change did not correlate with symptoms, lack of improvement was more prevalent among individuals with obesity. Regardless of COVID-19 severity, a substantial proportion continued to exhibit DLCO impairment at 1-year.

Integrated Bioinformatics Exploration and Preliminary Clinical Verification for the Identification of Crucial Biomarkers in Severe Cases of COVID-19

Background

Coronavirus disease 2019 (COVID-19) is a respiratory infectious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The objective of this study is to identify reliable and accurate biomarkers for the early stratification of disease severity, a crucial aspect that is currently lacking for the impending phases of the next COVID-19 pandemic.

Methods

In this study, we identified important module and hub genes related to clinical severe COVID-19 using differentially expressed genes (DEGs) screening combing weighted gene co-expression network analysis (WGCNA) in dataset GSE213313. We further screened and confirmed these hub genes in another two new independent datasets (GSE172114 and GSE157103). In order to evaluate these key genes' stability and robustness for diagnosing or predicting the progression of illness, we used RT-PCR validation of selected genes in blood samples obtained from hospitalized COVID-19 patients.

Results

A total of 968 and 52 DEGs were identified between COVID-19 patients and normal people, critical and non-critical patients, respectively. Then, using WGCNA, 10 modules were constructed. Among them, the blue module positively associated with clinic disease severity of COVID-19. From overlapped section between DEGs and blue module, 12 intersected common differential genes were obtained. Subsequently, these hub genes were validated in another two new independent datasets as well and 9 genes that overlapped showed a highly correlation with disease severity. Finally, the mRNA expression levels of these hub genes were tested in blood samples from COVID-19 patients. In severe cases, there was increased expression of MCEMP1, ANXA3, CD177, and SCN9A. In particular, MCEMP1 increased with disease severity, which suggested an unfavorable development and a frustrating prognosis.

Conclusion

Using comprehensive bioinformatical analysis and the validation of clinical samples, we identified four major candidate genes, MCEMP1, ANXA3, CD177, and SCN9A, which are essential for diagnosis or development of COVID-19.

Pathophysiological, immunological, and inflammatory features of long COVID

The COVID-19 pandemic continues to cause severe global disruption, resulting in significant excess mortality, overwhelming healthcare systems, and imposing substantial social and economic burdens on nations. While most of the attention and therapeutic efforts have concentrated on the acute phase of the disease, a notable proportion of survivors experience persistent symptoms post-infection clearance. This diverse set of symptoms, loosely categorized as long COVID, presents a potential additional public health crisis. It is estimated that 1 in 5 COVID-19 survivors exhibit clinical manifestations consistent with long COVID. Despite this prevalence, the mechanisms and pathophysiology of long COVID remain poorly understood. Alarmingly, evidence suggests that a significant proportion of cases within this clinical condition develop debilitating or disabling symptoms. Hence, urgent priority should be given to further studies on this condition to equip global public health systems for its management. This review provides an overview of available information on this emerging clinical condition, focusing on the affected individuals' epidemiology, pathophysiological mechanisms, and immunological and inflammatory profiles.

Early outcomes of radical surgery in non-small-cell lung cancer patients with and without COVID-19 history: a multi-center real-world study

BACKGROUND

Coronavirus disease (COVID)-19 can lead to chronic lung damage and respiratory issues, potentially increasing surgical difficulty and risk for patients with non-small-cell lung cancer (NSCLC). However, the impacts of a COVID-19 history on early outcomes in NSCLC patients remain controversial.

OBJECTIVES

To evaluate the effect of COVID-19 history on early outcomes in NSCLC patients and identify high-risk groups undergoing radical resection based on the largest Chinese multi-center real-world data to date.

DESIGN

Multi-center retrospective cohort study.

METHODS

NSCLC patients with (POCVD group) or without (NCVD group) a history of COVID-19 who underwent radical surgery at six institutions from January 2022 to January 2024 were retrospectively reviewed from a prospectively maintained database. Propensity-score matching (PSM) was utilized to minimize patient selection bias.

RESULTS

Out of 7932 cases included, PSM resulted in 3021 cases per group. The two groups were comparable regarding the proportion of male patients (52.0% vs 51.6%) and those aged ⩾70 years (13.3% vs 13.8%). Although the two groups had comparable incidences of complications with Clavien-Dindo grades ⩾II (13.0% vs 14.4%, p = 0.117), the POCVD group had longer surgical durations (120.87 ± 40.23 min vs 110.74 ± 38.76 min, mean difference (95% confidence interval (CI) = 10.13 (8.138-12.122)) and higher rates of respiratory complications than the NCVD group. Subgroup logistic regression analysis indicated that patients aged ⩾70 years (odds ratio (OR) (95% CI) = 1.322 (1.022-1.876)) and those with a smoking history (OR (95% CI) = 1.235 (1.008-1.543)) had an increased risk of developing complications with Clavien-Dindo grades ⩾II. Further analysis confirmed that these high-risk patients experienced extended surgical durations, longer chest tube drainage, and prolonged postoperative hospital stay, along with increased postoperative respiratory complications following COVID-19.

CONCLUSION

Generally, radical resection is safe for NSCLC patients with a COVID-19 history. However, these patients experienced prolonged surgical durations and a higher incidence of postoperative respiratory complications compared to those without a COVID-19 history. In addition, individuals aged ⩾70 years or with a smoking history faced elevated surgical risks following COVID-19.

The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID

There have been hundreds of millions of cases of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With the growing population of recovered patients, it is crucial to understand the long-term consequences of the disease and management strategies. Although COVID-19 was initially considered an acute respiratory illness, recent evidence suggests that manifestations including but not limited to those of the cardiovascular, respiratory, neuropsychiatric, gastrointestinal, reproductive, and musculoskeletal systems may persist long after the acute phase. These persistent manifestations, also referred to as long COVID, could impact all patients with COVID-19 across the full spectrum of illness severity. Herein, we comprehensively review the current literature on long COVID, highlighting its epidemiological understanding, the impact of vaccinations, organ-specific sequelae, pathophysiological mechanisms, and multidisciplinary management strategies. In addition, the impact of psychological and psychosomatic factors is also underscored. Despite these crucial findings on long COVID, the current diagnostic and therapeutic strategies based on previous experience and pilot studies remain inadequate, and well-designed clinical trials should be prioritized to validate existing hypotheses. Thus, we propose the primary challenges concerning biological knowledge gaps and efficient remedies as well as discuss the corresponding recommendations.

Lactate dehydrogenase contribution to symptom persistence in long COVID: A pooled analysis

There's critical need for risk predictors in long COVID. This meta-analysis evaluates the evidence for an association between plasma lactate dehydrogenase (LDH) and long COVID and explores the contribution of LDH to symptoms persistent across the distinct post-acute sequelae of COVID-19 (PASC) domains. PubMed, EMBASE, Web of Science, and Google Scholar were searched for articles published up to 20 March 2023 for studies that reported data on LDH levels in COVID-19 survivors with and without PASC. Random-effect meta-analysis was employed to estimate the standardized mean difference (SMD) with corresponding 95% confidence interval of each outcome. There were a total of 8289 study participants (3338 PASC vs. 4951 controls) from 46 studies. Our meta-analysis compared to the controls showed a significant association between LDH elevation and Resp-PASC [SMD = 1.07, 95%CI = 0.72, 1.41, p = 0.01] but not Cardio-PASC [SMD = 1.79, 95%CI = -0.02, 3.61, p = 0.05], Neuro-PASC [SMD = 0.19, 95%CI = -0.24, 0.61, p = 0.40], and Gastrointestinal-PASC [SMD = 0.45, 95%CI = -1.08, 1.98, p = 0.56]. This meta-analysis suggests elevated LDH can be used for predicting Resp-PASC, but not Cardio-PASC, Neuro-PASC or gastrointestinal-PASC. Thus, elevated plasma LDH following COVID infection may be considered as a disease biomarker.

[The profile of serum inflammatory biomarkers in patients with SARS-CoV-2 infection: how well do they reflect the presence of pulmonary involvement?]

INTRODUCTION

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is associated with inflammatory and imaging alterations that vary depending on the disease severity.

OBJECTIVE

Monitoring changes in inflammatory biomarkers may offer insights into the extent of pulmonary alterations observed in chest-CT. This study aimed to evaluate the profile of different inflammatory biomarkers, widely available and routinely measured in COVID-19 patients, and to determine whether alterations in their activity at admission and discharge correlate with lung involvement assessed through CT scans.

METHODS

We conducted a retrospective observational study, wherein chest-CT scans were performed upon admission, and blood tests were conducted at admission and discharge. Treatment and monitoring adhered to national and international guidelines.

RESULTS

The profile of serum inflammatory markers (including values at admission and discharge, as well as their evolution during hospitalization) demonstrated a correlation with lung involvement as assessed by the total severity score. The high activity of serum inflammatory markers upon admission, accompanied by minimal changes during hospitalization, indicated a severe form of COVID-19 with notable lung involvement. While statistically significant differences were observed in C-reactive protein, fibrinogen, erythrocyte sedimentation rate, lactate dehydrogenase, and neutrophil-to-lymphocyte ratio, C-reactive protein emerged as the most reliable marker for assessing pulmonary involvement.

CONCLUSION

Changes in serum inflammatory markers during hospitalization exhibited a weak to moderate negative correlation with the severity of lung involvement. Orv Hetil. 2023; 164(41): 1607-1615.

Genomic communication via circulating extracellular vesicles and long-term health consequences of COVID-19

COVID-19 continues to affect an unprecedented number of people with the emergence of new variants posing a serious challenge to global health. There is an expansion of knowledge in understanding the pathogenesis of Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the impact of the acute disease on multiple organs. In addition, growing evidence reports that the impact of COVID-19 on different organs persists long after the recovery phase of the disease, leading to long-term consequences of COVID-19. These long-term consequences involve pulmonary as well as extra-pulmonary sequelae of the disease. Noteably, recent research has shown a potential association between COVID-19 and change in the molecular cargo of extracellular vesicles (EVs). EVs are vesicles released by cells and play an important role in cell communication by transfer of bioactive molecules between cells. Emerging evidence shows a strong link between EVs and their molecular cargo, and regulation of metabolism in health and disease. This review focuses on current knowledge about EVs and their potential role in COVID-19 pathogenesis, their current and future implications as tools for biomarker and therapeutic development and their possible effects on long-term impact of COVID-19.

Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 on metabolic unhealthy obese patients

Introduction: The severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) has posed a significant challenge to individuals' health. Increasing evidence shows that patients with metabolic unhealthy obesity (MUO) and COVID-19 have severer complications and higher mortality rate. However, the molecular mechanisms underlying the association between MUO and COVID-19 are poorly understood. Methods: We sought to reveal the relationship between MUO and COVID-19 using bioinformatics and systems biology analysis approaches. Here, two datasets (GSE196822 and GSE152991) were employed to extract differentially expressed genes (DEGs) to identify common hub genes, shared pathways, transcriptional regulatory networks, gene-disease relationship and candidate drugs. Results: Based on the identified 65 common DEGs, the complement-related pathways and neutrophil degranulation-related functions are found to be mainly affected. The hub genes, which included SPI1, CD163, C1QB, SIGLEC1, C1QA, ITGAM, CD14, FCGR1A, VSIG4 and C1QC, were identified. From the interaction network analysis, 65 transcription factors (TFs) were found to be the regulatory signals. Some infections, inflammation and liver diseases were found to be most coordinated with the hub genes. Importantly, Paricalcitol, 3,3',4,4',5-Pentachlorobiphenyl, PD 98059, Medroxyprogesterone acetate, Dexamethasone and Tretinoin HL60 UP have shown possibility as therapeutic agents against COVID-19 and MUO. Conclusion: This study provides new clues and references to treat both COVID-19 and MUO.

From Emergence to Endemicity: A Comprehensive Review of COVID-19

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), later renamed coronavirus disease 2019 (COVID-19), was first identified in Wuhan, China, in early December 2019. Initially, the China office of the World Health Organization was informed of numerous cases of pneumonia of unidentified etiology in Wuhan, Hubei Province at the end of 2019. This would subsequently result in a global pandemic with millions of confirmed cases of COVID-19 and millions of deaths reported to the WHO. We have analyzed most of the data published since the beginning of the pandemic to compile this comprehensive review of SARS-CoV-2. We looked at the core ideas, such as the etiology, epidemiology, pathogenesis, clinical symptoms, diagnostics, histopathologic findings, consequences, therapies, and vaccines. We have also included the long-term effects and myths associated with some therapeutics of COVID-19. This study presents a comprehensive assessment of the SARS-CoV-2 virology, vaccines, medicines, and significant variants identified during the course of the pandemic. Our review article is intended to provide medical practitioners with a better understanding of the fundamental sciences, clinical treatment, and prevention of COVID-19. As of May 2023, this paper contains the most recent data made accessible.

Clinical standards for diagnosis, treatment and prevention of post-COVID-19 lung disease

BACKGROUND: The aim of these clinical standards is to provide guidance on 'best practice' care for the diagnosis, treatment and prevention of post-COVID-19 lung disease.METHODS: A panel of international experts representing scientific societies, associations and groups active in post-COVID-19 lung disease was identified; 45 completed a Delphi process. A 5-point Likert scale indicated level of agreement with the draft standards. The final version was approved by consensus (with 100% agreement).RESULTS: Four clinical standards were agreed for patients with a previous history of COVID-19: Standard 1, Patients with sequelae not explained by an alternative diagnosis should be evaluated for possible post-COVID-19 lung disease; Standard 2, Patients with lung function impairment, reduced exercise tolerance, reduced quality of life (QoL) or other relevant signs or ongoing symptoms ≥4 weeks after the onset of first symptoms should be evaluated for treatment and pulmonary rehabilitation (PR); Standard 3, The PR programme should be based on feasibility, effectiveness and cost-effectiveness criteria, organised according to local health services and tailored to an individual patient's needs; and Standard 4, Each patient undergoing and completing PR should be evaluated to determine its effectiveness and have access to a counselling/health education session.CONCLUSION: This is the first consensus-based set of clinical standards for the diagnosis, treatment and prevention of post-COVID-19 lung disease. Our aim is to improve patient care and QoL by guiding clinicians, programme managers and public health officers in planning and implementing a PR programme to manage post-COVID-19 lung disease.

Persistent Endothelial Lung Damage and Impaired Diffusion Capacity in Long COVID

Since the beginning of the pandemic, both COVID-19-associated coagulopathy biomarkers and a plethora of endothelial biomarkers have been proposed and tested as prognostic tools of severity and mortality prediction. As the pandemic is gradually being controlled, attention is now focusing on the long-term sequelae of COVID-19. In the present study, we investigated the role of endothelial activation/dysfunction in long COVID syndrome. This observational study included 68 consecutive long COVID patients and a healthy age and sex-matched control group. In both groups, we measured 13 endothelial biomarkers. Moreover, in the long COVID patients, we evaluated fatigue and dyspnea severity, lung diffusion capacity (DLCO), and the 6-min walk (6MWT) test as measures of functional capacity. Our results showed that markers of endothelial activation/dysfunction were higher in long COVID patients, and that soluble intracellular adhesion molecule 1 (sICAM-1) and soluble vascular adhesion molecule 1 (sVCAM-1) negatively correlated with lung diffusion and functional capacity (sICAM-1 vs. DLCO, r = -0.306, p = 0.018; vs. 6MWT, r = -0.263, p = 0.044; and sVCAM-1 vs. DLCO, r= -0.346, p = 0.008; vs. 6MWT, r = -0.504, p < 0.0001). In conclusion, evaluating endothelial biomarkers alongside clinical tests might yield more specific insights into the pathophysiological mechanisms of long COVID manifestations.

Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment

INTRODUCTION

The COVID-19 patients in the convalescent stage noticeably have pulmonary diffusing capacity impairment (PDCI). The pulmonary diffusing capacity is a frequently-used indicator of the COVID-19 survivors' prognosis of pulmonary function, but the current studies focusing on prediction of the pulmonary diffusing capacity of these people are limited. The aim of this study was to develop and validate a machine learning (ML) model for predicting PDCI in the COVID-19 patients using routinely available clinical data, thus assisting the clinical diagnosis.

METHODS

Collected from a follow-up study from August to September 2021 of 221 hospitalized survivors of COVID-19 18 months after discharge from Wuhan, including the demographic characteristics and clinical examination, the data in this study were randomly separated into a training (80%) data set and a validation (20%) data set. Six popular machine learning models were developed to predict the pulmonary diffusing capacity of patients infected with COVID-19 in the recovery stage. The performance indicators of the model included area under the curve (AUC), Accuracy, Recall, Precision, Positive Predictive Value(PPV), Negative Predictive Value (NPV) and F1. The model with the optimum performance was defined as the optimal model, which was further employed in the interpretability analysis. The MAHAKIL method was utilized to balance the data and optimize the balance of sample distribution, while the RFECV method for feature selection was utilized to select combined features more favorable to machine learning.

RESULTS

A total of 221 COVID-19 survivors were recruited in this study after discharge from hospitals in Wuhan. Of these participants, 117 (52.94%) were female, with a median age of 58.2 years (standard deviation (SD) = 12). After feature selection, 31 of the 37 clinical factors were finally selected for use in constructing the model. Among the six tested ML models, the best performance was accomplished in the XGBoost model, with an AUC of 0.755 and an accuracy of 78.01% after experimental verification. The SHAPELY Additive explanations (SHAP) summary analysis exhibited that hemoglobin (Hb), maximal voluntary ventilation (MVV), severity of illness, platelet (PLT), Uric Acid (UA) and blood urea nitrogen (BUN) were the top six most important factors affecting the XGBoost model decision-making.

CONCLUSION

The XGBoost model reported here showed a good prognostic prediction ability for PDCI of COVID-19 survivors during the recovery period. Among the interpretation methods based on the importance of SHAP values, Hb and MVV contributed the most to the prediction of PDCI outcomes of COVID-19 survivors in the recovery period.

Prevalence, Risk Factors, Prognosis, and Management of Pericardial Effusion in COVID-19

Background: There is limited data in the literature about the clinical importance and prognosis of pericardial effusion (PE) in patients discharged after recovering from COVID-19, but large-scale studies have yet to be available. This study investigated the prevalence, risk factors, prognosis, late clinical outcomes, and management of PE in COVID-19. Materials and Methods: Between August 2020 and March 2021, 15,689 patients were followed up in our pandemic hospital due to COVID-19. Patients with positive polymerase chain reaction (PCR) test results and PE associated with COVID-19 in computed tomography (CT) were included in the study. The patients were divided into three groups according to PE size (mild, moderate, and large). Transthoracic echocardiography (TTE) records, laboratory data, clinical outcomes, and medical treatments of patients discharged from the hospital were retrospectively reviewed. Results: According to the PE size (mild, moderate, large) of 256 patients with PE at admission or discharge, the mean age was 62.17 ± 16.34, 69.12 ± 12.52, and 72.44 ± 15.26, respectively. The mean follow-up period of the patients was 25.2 ± 5.12 months. Of the patients in the study population, 53.5% were in the mild group, 30.4% in the moderate group, and 16.1% in the large group. PE became chronic in a total of 178 (69.6%) patients at the end of the mean three months, and chronicity increased as PE size increased. Despite the different anti-inflammatory treatments for PE in the acute phase, similar chronicity was observed. In addition, as the PE size increased, the patients' frequency of hospitalization, complications, and mortality rates showed statistical significance between the groups. Conclusions: The clinical prognosis of patients presenting with PE was quite poor; as PE in size increased, cardiac and noncardiac events and mortality rates were significantly higher. Patients with large PE associated with COVID-19 at discharge should be monitored at close intervals due to the chronicity of PE and the increased risk of tamponade.

Comorbidities of COVID-19 Patients

The novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) responsible for the coronavirus disease outbreak initiated in 2019 (COVID-19) has been shown to affect the health of infected patients in a manner at times dependent on pre-existing comorbidities. Reported here is an overview of the correlation between comorbidities and the exacerbation of the disease in patients with COVID-19, which may lead to poor clinical outcomes or mortality. General medical issues are also reviewed, such as the types of symptoms present in people infected with SARS-CoV-2, the long-term effects of COVID-19 disease, and the types of treatment that are currently used.

Systematic Review of the Prevalence of Long COVID

Background

Long COVID occurs in those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) whose symptoms persist or develop beyond the acute phase. We conducted a systematic review to determine the prevalence of persistent symptoms, functional disability, or pathological changes in adults or children at least 12 weeks postinfection.

Methods

We searched key registers and databases from January 1, 2020 to November 2, 2021, limited to publications in English and studies with at least 100 participants. Studies in which all participants were critically ill were excluded. Long COVID was extracted as prevalence of at least 1 symptom or pathology, or prevalence of the most common symptom or pathology, at 12 weeks or later. Heterogeneity was quantified in absolute terms and as a proportion of total variation and explored across predefined subgroups (PROSPERO ID CRD42020218351).

Results

One hundred twenty studies in 130 publications were included. Length of follow-up varied between 12 weeks and 12 months. Few studies had low risk of bias. All complete and subgroup analyses except 1 had I² ≥90%, with prevalence of persistent symptoms range of 0%-93% (pooled estimate [PE], 42.1%; 95% prediction interval [PI], 6.8% to 87.9%). Studies using routine healthcare records tended to report lower prevalence (PE, 13.6%; PI, 1.2% to 68%) of persistent symptoms/pathology than self-report (PE, 43.9%; PI, 8.2% to 87.2%). However, studies systematically investigating pathology in all participants at follow up tended to report the highest estimates of all 3 (PE, 51.7%; PI, 12.3% to 89.1%). Studies of hospitalized cases had generally higher estimates than community-based studies.

Conclusions

The way in which Long COVID is defined and measured affects prevalence estimation. Given the widespread nature of SARS-CoV-2 infection globally, the burden of chronic illness is likely to be substantial even using the most conservative estimates.

Exhaled Breath Condensate and Respiratory Sequelae in Children Post-COVID-19

BACKGROUND

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes an acute respiratory illness. A substantial proportion of adults experience persistent symptoms. There is a paucity of data on respiratory sequelae in children. Exhaled breath condensate (EBC) is a non-invasive tool used to assess airway inflammation.

OBJECTIVES

This study aimed to evaluate EBC parameters, respiratory, mental and physical ability among children post COVID-19 infection.

METHODS

Observational study of confirmed SARS-CoV-2 infection cases among children, aged 5-18 years, evaluated once, 1-6 months post positive SARS-CoV-2 PCR testing. All subjects performed spirometry, 6-min walk test (6MWT), EBC (pH, interleukin-6), and completed medical history questionnaires, Depression, Anxiety, and Stress Scale (DASS-21), and physical activity scores. Severity of COVID-19 disease was classified according to WHO criteria.

RESULTS

Fifty-eight children were included and classified asymptomatic (n = 14), mild (n = 37), and moderate (n = 7) disease. The asymptomatic group included younger patients compared to the mild and moderate groups (8.9 ± 2.5y vs. 12.3 ± 3.6y and 14.6 ± 2.5y, respectively, p = 0.001), as well as lower DASS-21 total scores (3.4 ± 4 vs. 8.7 ± 9.4 and 8.7 ± 0.6 respectively, p = 0.056), with higher scores in proximity to positive PCR (p = 0.011). No differences were found between the 3 groups regarding EBC, 6MWT, spirometry, body mass index percentile, and activity scores.

CONCLUSIONS

COVID-19 is an asymptomatic-mild disease in most young healthy children, with gradually diminishing emotional symptoms. Children without prolonged respiratory symptoms revealed no significant pulmonary sequelae as evaluated by EBC markers, spirometry, 6MWT, and activity scores. Larger studies are required to assess long-term pediatric consequences of post SARS-CoV-2 infection, to assess the need for pulmonology surveillance.

Prevalence and risk for symptoms of PTSD among survivors of a COVID-19 infection

COVID-19 pandemic has profound psychological effects worldwide and the psychological sequelae will persist for a long time among COVID-19 survivors. This cross-sectional study aimed to explore the prevalence of PTSD and its associated risk factors in COVID-19 survivors of the first wave pandemic. Demographics questionnaire, the Impact of Events Scale-Revised, the Pittsburgh Sleep Quality Index, the Fatigue Scale-14, the Resilience Style Questionnaire, the Short Version of COVID-19 Stigma Scale, the Peace of Mind Scale, and the Perceived Social Support Questionnaire were used to collect relevant information of the participants. The propensity score-matching (PSM) method was employed to adjust covariate or confounding variables in order to derive more accurate conclusions. After PSM, adjusted odds ratios and 95% confidence intervals were determined by binary conditional logistic regression. A total of 1541 COVID-19 survivors were included firstly and 15.2% reported PTSD symptoms, 1108 participants left after PSM. Four risk factors were identified: higher severity of COVID-19 infection, fatigue, COVID-19 related stigma and poor sleep quality. When designing psychological interventions to alleviate PTSD symptoms of COVID-19 survivors, reducing stigma and fatigue, and improve their sleep quality are suggested.

A systematic review on physical function, activities of daily living and health-related quality of life in COVID-19 survivors

OBJECTIVE

To analyze the published studies that investigated the physical function, activities of daily living and health-related quality of life in COVID-19 survivors.

DESIGN

Systematic review.

METHODS

We searched MEDLINE/PubMed, Scopus, SciELO, and Cochrane Library for studies that evaluated the physical function, activities of daily living and health-related quality of life after COVID-19 from the earliest date available to July 2021. Two independent reviewers screened and selected the studies. The Newcastle Ottawa Scale was used to evaluate methodological quality.

RESULTS

We included 35 studies in this systematic review. Of the 35 studies included, 28 were cohort, and 7 cross-sectional studies The studies demonstrated that COVID-19 survivors had reduced levels of physical function, activities of daily living, and health-related quality of life. Furthermore, incomplete recovery of physical function, and performance in activities of daily living were observed 1 to 6 months post-infection.

DISCUSSION

Physical disability and reduction in health-related quality of life is a common condition in post-COVID-19 and impairments may persist up to 1 to 6 months. Researchers and clinicians can use these findings to understand the potential disabilities and rehabilitation needs of people recovering from the COVID-19.

Impact of admission viral load on respiratory outcomes in hospitalized SARS-CoV-2 infected patients with cancer and without cancer: A 2-, 4- and 6-months follow-up prospective study

BACKGROUND

This prospective follow-up study aimed to determine the temporal changes in respiratory outcomes over 6 months period in patients with and without cancer hospitalized for severe COVID-19 and to determine the associated risk factors based on admission viral load.

METHODS

All adult patients hospitalized with a confirmed diagnosis of severe SARS-CoV-2 infection were investigated using rRT-PCR on nasopharyngeal swab specimens. Patients were divided into three arbitrary groups according to their cycle threshold (C_T) values obtained at admission as high (C_T < 25.0), medium (C_T between 25.0 and 30.0), and low (C_T > 30.0) viral load. Patients had pulmonary function tests, chest high-resolution computed tomography (HRCT), and a 6-minute walking time distance measured at each follow-up visit.

RESULTS

This follow-up study had a total of 112 participants, of which 75 were cancer-free and 37 had active cancer. Overall, 29.5% had a low viral load, compared to 48.2% who had a high viral load, and 22.3% had a medium viral load. For patients who did not have cancer, the mean age was 57.3 (SD 15.4) and for those who had cancer, it was 62.3 (SD 18.4). Most patients had overall better temporal changes in pulmonary function and tolerance, as well as exercise capacity, even though severe and chronic respiratory abnormalities persisted in a fraction of the patients. In patients without cancer who had a high viral load, we have seen a substantial reduction in diffusion capacity of the lungs for carbon monoxide (DLCO) predicted value with a median of 65 (IQR 63-70) while in patients with cancer, it was 60 (IQR 56-67) at 2 months. At 4 and 6 months, the predicted DLCO values for patients without cancer were 65 (IQR 61-70), whereas the predicted DLCO values for patients with active cancer were 62 (IQR 60-67) and 67 (59-73). Importantly, radiological abnormalities persisted in 22 (29%) non-cancer patients and 16 (43%) cancer patients. Multivariate regression analysis showed an increased odds ratio of impaired HRCT associated with a high viral load of 3.04 (95% CI:1.68-6.14; p < 0.001) for patients without cancer and 5.07 (95% CI: 4.04-10.8; p < 0.0001) for patients with cancer. The CT pneumonia score at hospitalization was 2.25 (95% CI:1.76-3.08; p = 0.041) and 2.85 (95% CI:1.89-5.14; p = 0.031) for non-cancer and cancer patients respectively.

CONCLUSIONS

The evidence of persistent pulmonary abnormalities and radiographic changes was found in both patient groups who had high viral load at hospital admission and suggesting that SARS-CoV-2 viral load might serve as a useful indicator to predict the development of respiratory complications in patients with COVID-19.

Corrigendum to "The prevalence and long-term health effects of long Covid among hospitalised and non-hospitalised populations: a systematic review and meta-analysis"

[This corrects the article DOI: 10.1016/j.eclinm.2022.101762.].

Physical activity levels respiratory and peripheral muscle strength and pulmonary function in young post-COVID-19 patients : A cross-sectional study

OBJECTIVE

Coronavirus disease 2019 (COVID-19) causes permanent problems, even mild severity. The long-term consequences of COVID-19 are still unknown. This study aimed to investigate physical activity levels, respiratory and peripheral muscle strength, and pulmonary function in the long term in young adult COVID-19 patients who recovered from mild disease.

METHODS

This cross-sectional study was carried out at least 6 months after the COVID-19 diagnosis, 54 patients with COVID-19 (median age: 20 years) and 46 controls (median age: 21 years) were compared. Functional status (post-COVID-19 functional status scale), respiratory (maximum inspiratory and expiratory pressures (MIP, MEP)) and peripheral muscle strength (dynamometer), pulmonary function (Spirometry), dyspnea and fatigue (modified Borg scale), and physical activity levels (International Physical Activity Questionnaire) were evaluated.

CLINICALTRIAL NUMBER

NCT05381714.

RESULTS

Patients with COVID-19 measured and percent predicted MIP and MEP were statistically decreased compared with the controls (p < 0.05). Shoulder abductors muscle strength (p < 0.001) and the number of individuals with low physical activity levels were significantly higher in patients compared with controls (p = 0.048). Pulmonary function, quadriceps muscle strength, exertional dyspnea, and fatigue scores were similar in groups (p > 0.05).

CONCLUSION

Respiratory and peripheral muscle strength and physical activity levels are adversely affected in patients with COVID-19, even though the patients were mildly affected in the long term. Also, symptoms such as dyspnea and fatigue may persist. Therefore, these parameters should be evaluated in the long term, even in young adults who are mildly affected by COVID-19.

Long-Term Sequelae of severe COVID-19: outpatient assessment of radiological and pulmonary function tests

Objective: Identify lung sequelae of COVID-19 through radiological and pulmonary function assessment.

Design: Prospective, longitudinal, cohort study from March 2020 to March 2021.

Setting: Intensive Care Units (ICU) in a tertiary hospital in Portugal.

Patients: 254 patients with COVID-19 admitted to ICU due to respiratory illness.

Interventions: A chest computed tomography (CT) scan and pulmonary function tests (PFT) were performed at 3 to 6 months.

Main variables of interest: CT-scan; PFT; decreased diffusion capacity of carbon monoxide (DLCO).

Results: All CT scans revealed improvement in the follow-up, with 72% of patients still showing abnormalities, 58% with ground glass opacities and 62% with evidence of fibrosis. PFT had abnormalities in 94 patients (46%): thirteen patients (7%) had an obstructive pattern, 35 (18%) had a restrictive pattern, and 58 (30%) had decreased DLCO. There was a statistically significant association between abnormalities in the follow-up CT scan and older age, more extended hospital and ICU stay, higher SAPS II and APACHE scores and invasive ventilation. Mechanical ventilation, especially with no lung protective parameters, was associated with abnormalities in PFT. Multivariate regression showed more abnormalities in lung function with more extended ICU hospitalization, chronic obstructive pulmonary disease (COPD), chronic kidney disease, invasive mechanical ventilation, and ventilation with higher plateau pressure, and more abnormalities in CT-scan with older age, more extended ICU stay, organ solid transplants and ventilation with higher positive end-expiratory pressure (PEEP).

Conclusions: Most patients with severe COVID-19 still exhibit abnormalities in CT scans or lung function tests three to six months after discharge.

Long-term effects of COVID-19 on lungs and the clinical relevance: a 6-month prospective cohort study

Background: We aimed to explore the prevalence of prolonged symptoms, pulmonary impairments and residual disease on chest tomography (CT) in COVID-19 patients at 6 months after acute illness. Methods: In this prospective, single-center study, hospitalized patients with radiologically and laboratory-confirmed COVID-19 were included. Results: A high proportion of the 116 patients reported persistent symptoms (n = 54; 46.6%). On follow-up CT, 33 patients (28.4%) demonstrated residual disease. Multivariate analyses revealed that only neutrophil-to-lymphocyte ratio was an independent predictor for residual disease. Conclusion: Hospitalized patients with mild/moderate COVID-19 still had persistent symptoms and were prone to develop long-term pulmonary sequelae on chest CT. However, it did not have a significant effect on long-term pulmonary functions.

Influence of Deep Sedation in Intensive Care Medicine Memories of Critical COVID-19 Survivors

Introduction: Critical care survivors sustain a variety of sequelae after intensive care medicine (ICM) admission, and the Coronavirus Disease 2019 (COVID-19) pandemic has added further challenges. Specifically, ICM memories play a significant role, and delusional memories are associated with poor outcomes post-discharge including a delayed return to work and sleep problems. Deep sedation has been associated with a greater risk of perceiving delusional memories, bringing a move toward lighter sedation. However, there are limited reports on post-ICM memories in COVID-19, and influence of deep sedation has not been fully defined. Therefore, we aimed to evaluate ICM-memory recall in COVID-19 survivors and their relation with deep sedation. Materials/Methods: Adult COVID-19 ICM survivors admitted to a Portuguese University Hospital between October 2020 and April 2021 (second/third "waves") were evaluated 1 to 2 months post-discharge using "ICU Memory Tool," to assess real, emotional, and delusional memories. Results: The study included 132 patients (67% male; median age = 62 years, Acute Physiology and Chronic Health Evaluation [APACHE]-II = 15, Simplified Acute Physiology Score [SAPS]-II = 35, ICM stay = 9 days). Approximately 42% received deep sedation (median duration = 19 days). Most participants reported real (87%) and emotional (77%) recalls, with lesser delusional memories (36.4%). Deeply sedated patients reported significantly fewer real memories (78.6% vs 93.4%, P = .012) and increased delusional memories (60.7% vs 18.4%, P < .001), with no difference in emotional memories (75% vs 80.4%, P = .468). In multivariate analysis, deep sedation had a significant, independent association with delusional memories, increasing their likelihood by a factor of approximately 6 (OR = 6.274; 95% confidence interval = 1.165-33.773, P = .032), without influencing real (P = .545) or emotional (P = .133) memories. Conclusions: This study contributes to a better understanding of the potential adverse effects of deep sedation on ICM memories in critical COVID-19 survivors, indicating a significant, independent association with the incidence of delusional recalls. Although further studies are needed to support these findings, they suggest that strategies targeted to minimize sedation should be favored, aiming to improve long-term recovery.

Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort

OBJECTIVE

COVID-19 survivors are at risk for long-term health effects, but assessing the sequelae of COVID-19 at large scales is challenging. High-throughput methods to efficiently identify new medical problems arising after acute medical events using the electronic health record (EHR) could improve surveillance for long-term consequences of acute medical problems like COVID-19.

MATERIALS AND METHODS

We augmented an existing high-throughput phenotyping method (PheWAS) to identify new diagnoses occurring after an acute temporal event in the EHR. We then used the temporal-informed phenotypes to assess development of new medical problems among COVID-19 survivors enrolled in an EHR cohort of adults tested for COVID-19 at Vanderbilt University Medical Center.

RESULTS

The study cohort included 186 105 adults tested for COVID-19 from March 5, 2020 to November 1, 2021; of which 30 088 (16.2%) tested positive. Median follow-up after testing was 412 days (IQR 274-528). Our temporal-informed phenotyping was able to distinguish phenotype chapters based on chronicity of their constituent diagnoses. PheWAS with temporal-informed phenotypes identified increased risk for 43 diagnoses among COVID-19 survivors during outpatient follow-up, including multiple new respiratory, cardiovascular, neurological, and pregnancy-related conditions. Findings were robust to sensitivity analyses, and several phenotypic associations were supported by changes in outpatient vital signs or laboratory tests from the pretesting to postrecovery period.

CONCLUSION

Temporal-informed PheWAS identified new diagnoses affecting multiple organ systems among COVID-19 survivors. These findings can inform future efforts to enable longitudinal health surveillance for survivors of COVID-19 and other acute medical conditions using the EHR.