COVID-19 Group Research Articles

A Comparison of Clinical and Laboratory Features in Neonatal Proven Sepsis and COVID-19

Background: The clinical manifestations of COVID-19 in neonates are generally mild and commonly require only supportive treatment. However, it is important to note that they can sometimes present with symptoms like bacterial sepsis, which can lead to confusion in diagnosis. In this study, our objective was to compare laboratory data and clinical manifestations between 2 groups to identify opportunities for reducing the unnecessary use of antibiotics. Methods: The study was conducted as a cross-sectional study between January 2020 and 2023 on neonates who were admitted to the neonatal intensive care unit or the neonatal ward of Children’s Medical Center in Tehran, Iran. We specifically compared the laboratory data and clinical characteristics of neonates who tested positive for either a blood culture or a reverse transcription polymerase chain reaction for COVID-19. Results: Sixty-seven neonates in COVID-19 group and 68 neonates in the bacterial sepsis group entered. Prominent symptoms in the bacterial sepsis group include vomiting, seizure, apnea, mottling, increased need for ventilation and laboratory findings showing elevated levels of C-reactive protein and thrombocytopenia. In the COVID-19 group, patient exhibit symptoms such as cough, diarrhea, fever and laboratory findings that indicate neutropenia and leukopenia. Symptoms of nervous involvement were rare in this group. Conclusion: It is crucial to carefully assess the symptoms, laboratory results and overall condition of the patient before deciding on antibiotic initiation. By combining rapid COVID-19 testing and clinical variables, it is possible to identify low-risk infants who are unlikely to have bacterial infections.

Longitudinal 1H NMR-Based Metabolomics in Saliva Unveils Signatures of Transition from Acute to Post-Acute Phase of SARS-CoV-2 Infection

COVID-19 can range from a mild to severe acute respiratory syndrome and also could result in multisystemic damage. Additionally, many people develop post-acute symptoms associated with immune and metabolic disturbances in response to viral infection, requiring longitudinal and multisystem studies to understand the complexity of COVID-19 pathophysiology. Here, we conducted a 1H Nuclear Magnetic Resonance metabolomics in saliva of symptomatic subjects presenting mild and moderate respiratory symptoms to investigate prospective changes in the metabolism induced after acute-phase SARS-CoV-2 infection. Saliva from 119 donors presenting non-COVID and COVID-19 respiratory symptoms were evaluated in the acute phase (T1) and the post-acute phase (T2). We found two clusters of metabolite fluctuation in the COVID-19 group. Cluster 1, metabolites such as glucose, (CH3)3 choline-related metabolites, 2-hydroxybutyrate, BCAA, and taurine increased in T2 relative to T1, and in cluster 2, acetate, creatine/creatinine, phenylalanine, histidine, and lysine decreased in T2 relative to T1. Metabolic fluctuations in the COVID-19 group were associated with overweight/obesity, vaccination status, higher viral load, and viral clearance of the respiratory tract. Our data unveil metabolic signatures associated with the transition to the post-acute phase of SARS-CoV-2 infection that may reflect tissue damage, inflammatory process, and activation of tissue repair cascade. Thus, they contribute to describing alterations in host metabolism that may be associated with prolonged symptoms of COVID-19.

Long COVID and recovery from Long COVID: quality of life impairments and subjective cognitive decline at a median of 2 years after initial infection

BackgroundRecovery from SARS CoV-2 infection is expected within 3 months. Long COVID occurs after SARS-CoV-2 when symptoms are present for more than 3 months that are continuous, relapsing and remitting, or progressive. Better understanding of Long COVID illness trajectories could strengthen patient care and support.MethodsWe characterized functional impairments, quality of life (QoL), and cognition among patients who recovered from SARS-CoV-2 infection within 3 months (without Long COVID), after 3 months (Recovered Long COVID), or remained symptomatic (Long COVID). Among 7305 patients identified with previous SARS-CoV-2 infection between March 2020 and December 2021, confirmed in the medical record with laboratory test or physician diagnosis, 435 (6%) completed a single self-administered survey between March 2022 and September 2022. Multi-domain QoL and cognitive concerns were evaluated using PROMIS-29 and the Cognitive Change Index-12.ResultsNearly half the participants (47.7%) were surveyed more than 2 years from initial infection (median = 23.3 months; IQR = 18.6, 26.7) and 86.7% were surveyed more than 1 year from infection. A significantly greater proportion of the Long COVID (n = 215) group, (Current and Recovered combined), had moderate-to-severe impairment in all health domains assessed compared to those Without Long COVID (n = 220; all p < 0.05). The Recovered Long COVID group (n = 34) had significantly lower prevalence of fatigue, pain, depression, and physical and social function impairment compared to those with Current Long COVID (n = 181; all p < 0.05). However, compared to patients Without Long COVID, the Recovered Long COVID group had greater prevalences of fatigue, pain (p ≤ 0.06) and subjective cognitive decline (61.8% vs 29.1%; p < 0.01). Multivariate relative risk (RR) regression indicated Long COVID risk was greater for older age groups (RR range 1.46–1.52; all p ≤ 0.05), those without a bachelor’s degree (RR = 1.33; 95% CI = 1.03–1.71; p = 0.03), and those with 3 or more comorbidities prior to SARS-CoV-2 infection (RR = 1.45; 95% CI = 1.11–1.90; p < 0.01).ConclusionsLong COVID is associated with long-term subjective cognitive decline and diminished quality of life. Clinically significant cognitive complaints, fatigue, and pain were present even in those who reported they had recovered from Long COVID. These findings have implications for the sustainability of participation in work, education, and social activities.

Differential gene expression of immune response in COVID-19 and its relationship with progression of COVID-19

Human immune response evolved in virus clearance and gene expression levels of immune response may be associated with progression of Coronavirus disease 2019 (COVID-19). Our current study aims to investigate the relationship between differential gene expression of immune response and progression of COVID-19. A total of 50 participants of COVID-19 group were studied, compared with 39 participants of healthy control group. There were different gene expression profiles in pathways of activation of neutrophil, defense response and adaptive immune response for COVID-19 group before treatment compared to the healthy control group. Distinct gene expression profiles showed that pathways of chemotaxis, immune response and antibacterial humoral response involved in rehabilitation of severe COVID-19 group while pathways of immune system process, defense response to virus and negative regulation of viral genome replication involved in rehabilitation of moderate COVID-19 group. Both protein expression of ATP-binding cassette transporter A1 levels and protein expression of low affinity Fc-receptor FcγRIIIb levels were significantly and positively correlated with COVID-19-IgM levels and might be suitable as biomarkers for monitoring of COVID-19. This study showed that differential gene expression of immune response predicted onset and rehabilitation of COVID-19.

Risk factors of hypotension during cesarean section with spinal anesthesia in parturients with COVID-19: a retrospective study in comparison with pregnant women without COVID-19.

The incidence of hypotension in parturients with coronavirus disease (COVID-19) undergoing regional anesthesia remains controversial. This study aimed to investigate the incidence of hypotension during spinal anesthesia in parturients infected with COVID-19, as well as to identify associated risk factors. This retrospective study compared COVID-19-positive parturients who underwent cesarean section under spinal anesthesia (COVID-19 group) with a control group between January 2017 and June 2022. We reviewed the medical records and collected the following information: basic patient characteristics, spinal anesthesia, and newborn-related data. Compared with the control group, the COVID-19 group did not show any significant differences in terms of hypotension occurrence and vasopressor usage. A positive correlation was noted in the COVID-19 group between heart rate and duration of hospital stay (P < 0.001, Spearman's rho = 0.422). In subgroup analysis of the COVID-19 group, group with a baseline heart rate ≥ 100 (group H) had lower Apgar scores at 1 min, longer hospital stays, and more severe COVID-19 symptoms than the with a baseline heart rate < 100 (group L). Moreover, in group H, there was a positive correlation between the heart rate and the lowest systolic blood pressure after spinal anesthesia (P = 0.012, Spearman's rho = 0.528). Parturients with COVID-19 do not appear to have a higher risk of hypotension during cesarean section under spinal anesthesia than those without COVID-19. Given the close association between preoperative heart rate and extent of hypotension in parturients with COVID-19 undergoing spinal anesthesia, vigilant monitoring of vital signs by anesthesiologists is crucial during the perioperative period.

Social health gradient and risk factors among patients hospitalized for COVID-19 and pre-pandemic respiratory infections. A linked national individual case-control study in Belgium

IntroductionThe literature establishes a clear social gradient in health for transmissible respiratory diseases. However, this gradient’s extent remains largely unexplored in the context of COVID-19, and it is uncertain whether the pandemic has exacerbated this gradient. The study aims to compare the socio-economic profiles and comorbidities during the COVID-19 pandemic with a control population affected by viral pneumonia/respiratory disease in 2019.MethodsThis case-control study analyzed linked data from all patients hospitalized for COVID-19 in 2020 (n = 22,087) and for respiratory diseases in 2019 (n = 7,586). Socio-economic data from the social security database were linked to clinical data from the hospital registry. We analyzed the socio-demographic and clinical factors associated with COVID-19 hospitalization (control group, wave 1, and wave 2) using multinomial regressions and logistic regression models and the length of stay during hospitalization using binomial negative regressions.ResultsA social health gradient was observed in both the COVID-19 and control groups, with a significant increase across waves for COVID-19 (p-trend &amp;lt; 0.0001). Men, people over the age of 45, those with comorbidities, high population density, lower income, lower socio-economic status, and people living in Brussels capital were at higher risk of COVID-19 hospitalization and longer length of stay compared to the control group. Except for sub-Saharan Africans, all patients of foreign nationality had a significantly increased risk of hospitalization (p &amp;lt; 0.001), but a shorter length of stay compared to Belgians.ConclusionThe socio-health gradient for COVID-19 followed the same pattern as that observed in pre-pandemic respiratory diseases, intensifying in the second wave and among the most deprived groups. This study emphasizes the importance of collecting social data alongside clinical data for a better understanding of social health inequalities and for tailoring health prevention policies.

Prevalence of Anxiety and Suicidal Ideation in Nurses Working in COVID-19 Wards Compared to Nurses From Other Hospital Wards During the Pandemic

Background and Objectives: Investigating the level of anxiety and suicidal thoughts in nurses during the COVID-19 pandemic can play an important role in helping them clinically to prevent the development of psychological symptoms in them. In this regard, this study aims to investigate the prevalence of anxiety and suicidal ideation in nurses working in COVID-19 wards compared to nurses from other departments. Methods: In this analytical cross-sectional study, participants were 347 nurses from two hospitals (Shahid Beheshti and Kamkar) in Qom, Iran in 2021. Nurses were divided into two groups working in COVID-19 and non-COVID wards. The data collection tools were a demographic form, Beck’s anxiety inventory, and the Beck scale for suicidal ideation. The data was analyzed in SPSS software version 22 using independent t-test or ANOVA for quantitative data and chi-square test for qualitative data. The significance level was set at 0.05. Results: Among participants, 139(40.1%) were in the COVID group and 208(59.9%) were in the non-COVID group. Nurses in the COVID group had significantly higher anxiety scores than nurses in the non-COVID group (P&lt;0.001), but there was no significant difference between COVID and non-COVID groups in suicidal ideation (P=0.979). Conclusion: There is a high prevalence of anxiety among nurses working in COVID-19 wards compared to nurses from other wards. Therefore, it is recommended to use psychological treatments to reduce the anxiety and suicidal thoughts of these nurses during the COVID-19 pandemic.

The association of increased incidence of congenital heart disease in newborns with maternal COVID-19 infection during pregnancy

This paper aims to examine the potential link between maternal COVID-19 infection during pregnancy and the increased risk of congenital heart disease (CHD) in newborns. A comparative analysis was conducted involving two groups: mothers infected with COVID-19 during pregnancy and a control group. Data on maternal characteristics, pregnancy-related complications, and newborn outcomes were collected and analyzed. Additionally, the annual incidence rates of CHD from 2020 to 2023 were evaluated to assess trends over time. No significant differences were found between the COVID-19 cases and the control group in terms of maternal age, BMI, gravidity, parity, use of assisted reproductive technology, adverse obstetric history, or complications during pregnancy, including diabetes mellitus, preeclampsia, and thyroid abnormalities. For newborn outcomes, there were no significant differences in sex distribution, rate of cesarean delivery, Apgar scores, or birth weight. However, a significantly higher prevalence of cardiac ultrasound abnormalities was observed in the COVID-19 group (10.08%) compared to the control group (4.13%, p = 0.012). Further analysis revealed that the majority of cardiac abnormalities in the COVID-19 group occurred in mothers infected before 8 weeks of pregnancy. The annual incidence rates of CHD showed a significant increase during the COVID-19 pandemic, with the highest rate in 2023 (5.46%) compared to previous years. Maternal COVID-19 infection during pregnancy may adversely affect the development of the newborn’s heart. This could be due to the inflammatory response caused by the viral infection or other pathological processes. The findings underscore the importance of vigilant prenatal care and early detection of cardiac abnormalities during the pandemic and suggest the need for further research to explore potential mechanisms and intervention strategies.

Cognitive recovery of post critical care patients with and without COVID-19: differences and similarities, an observational study

BackgroundCoronavirus disease (COVID-19) patients treated in an intensive care unit (ICU) are at high risk of developing cognitive impairments of a “post-intensive care syndrome” (PICS). We explored whether critically ill COVID-19 and non-COVID-19 survivors differ in their post-ICU recovery course in terms of severity and affected cognitive domains.MethodsAn observational prospective study was conducted in a German post-acute neurological early rehabilitation clinic. Critically ill patients with or without SARS-CoV-2 infection (at least mechanically ventilated for one week) underwent repeated standardized assessments during their subsequent inpatient rehabilitation stay. Cognitive functions (information processing speed, learning, recognition, short-term and working-memory, word fluency, flexibility) assigned to different domains (attention, memory, executive functions) were assessed as primary outcome. Secondary outcomes included mental (depression, anxiety) and physical (Barthel index, modified ranking scale) state.ResultsOut of 92 eligible patients (screened between June 2021 and August 2023), 34 were examined, and 30 were available for analysis (15 per group). Both groups were ventilated for a similar period (COVID-19 vs. Non-COVID-19: median: 48 vs. 53 days). Patients of COVID-19 group spend on average 10 days longer at ICU and developed slightly more complications, but subsequent inpatient rehabilitation was of comparable duration (median: 36.5 vs. 37 days). On the group-level both groups showed similar cognitive dysfunctions with striking impairments (normative T-scores < 41) in information processing speed, word fluency, flexibility, and recognition memory on admission. Significant gains until discharge were only revealed for information processing speed in both groups (main effect visit, mean difference [95%CI] − 7.5 [− 13.1, − 2.0]). Physical and mental state were also similarly affected in both groups on admission, but improved over time, indicating that overall recovery for higher-order cognitive functions is slowest. Interestingly, majority of patients stated correctly being still physically disabled, while a discrepancy was found between subjective and objective evaluation of cognitive health.ConclusionsResults suggest a substantial overlap of cognitive, mental and physical dysfunction in post-acute recovery of ICU survivors independent of SARS-CoV-2 infection which warrants further monitoring to reduce the risk of long-term burden and enable a return to previous functionality.Trial registrationRetrospectively registered at https://drks.de/search/de/trial/DRKS00025523, 21.06.2021.

Neuroinflammation in Severe COVID-19: The Dynamics of Inflammatory and Brain Injury Markers During Hospitalization.

Patients with COVID-19 can develop excessive inflammation in the brain and consequent neurological complications. The aim of this study was to evaluate the inflammatory, endothelial and brain injury markers in hospitalized COVID-19 patients and compare those with or without neurological symptoms. A total of 30 intensive care unit (ICU) COVID-19 patients were allocated into COVID-19 (without neurological symptoms) or neuro-COVID-19 (with neurological symptoms) groups. Patients with respiratory infection symptoms but negative for COVID-19 were included as a control group. Peripheral blood samples were collected at hospital admission (T1) (controls and ICU patients) and during hospitalization (T2: last 72h before hospital discharge or in-hospital death) (ICU COVID-19 patients) to analyze inflammatory markers. Higher ICAM-1, CCL26 and VEGF at T1 were identified in both COVID-19 groups compared with control. Neuro-COVID-19 patients presented lower systemic BDNF levels compared with the control group and increased S100B compared with the control and COVID-19 groups. BDNF levels in survivors were lower in the neuro-COVID-19 group compared to the COVID-19 group, while S100B were higher, regardless of the outcome. In addition, all COVID-19 patients presented increased ICAM-1 and CCL26 levels over the hospitalization period (T2 > T1). Furthermore, S100B, ICAM-1, CCL26 and VEGF levels increased in relation to T1 in neuro-COVID-19 patients, with S100B and CCL26 being significantly higher in relation to the COVID-19 group. In conclusion, high levels of brain injury biomarkers were found in patients with neuro-COVID-19, indicating neuroinflammatory and consequent brain injury in the last 72h of hospitalization.

Quantitative Evaluation of Microcirculatory Alterations in Patients with COVID-19 and Bacterial Septic Shock through Remote Photoplethysmography and Automated Capillary Refill Time Analysis.

Background and Objectives: Sepsis, a leading global health challenge, accounts for around 20% of deaths worldwide. The complexity of sepsis, especially the difference between bacterial and viral etiologies, requires an effective assessment of microcirculation during resuscitation. This study aimed to evaluate the impact of infusion therapy on microcirculation in patients with sepsis, focusing on bacterial- and COVID-19-associated sepsis using remote photoplethysmography (rPPG) and the automated capillary refill time (aCRT). Materials and Methods: This single-center prospective study was conducted in the ICU of Pauls Stradins Clinical University Hospital, including 20 patients with sepsis/septic shock. The patients were selected based on hemodynamic instability and divided into COVID-19 and Bacterial Septic Shock groups. Fluid responsiveness was assessed using the Passive Leg Raising Test (PLRT). Systemic hemodynamics and microcirculation were monitored through MAP CRT, rPPG, and serum lactate levels. Statistical analyses compared responses within and between the groups across different stages of the protocol. Results: The Bacterial group exhibited higher initial serum lactate levels and more pronounced microcirculatory dysfunction than the COVID-19 group. rPPG was more sensitive in detecting perfusion changes, showing significant differences between the groups. The automated CRT demonstrated greater sensitivity compared to the manual CRT, revealing significant differences during PLRT stages between bacterial- and COVID-19-associated sepsis. Both groups had a transient hemodynamic response to PLRT, with subsequent stabilization upon fluid infusion. Conclusions: When managing patients with sepsis in intensive care, monitoring microcirculation is of paramount importance in infusion therapy. Our study highlights the potential of rPPG and aCRT as tools for this purpose. These techniques can be used in conjunction with routine parameters, such as lactate levels and systemic hemodynamic parameters, to provide a comprehensive assessment of a patient's condition.

Insulin requirement trajectories during COVID-19 versus non-COVID-19 critical illness-A retrospective cohort study.

The glycemic response to critical COVID-19 remains uncertain. We aimed to assess the association between COVID-19, insulin requirements, glycemic control, and mortality in intensive care unit (ICU) patients. We conducted a retrospective observational study of 350 COVID-19 patients and 1067 non-COVID-19 patients admitted to the ICU. Insulin requirement was defined as the total units of exogenous insulin required to cover one gram of administered carbohydrates (insulin-to-carbohydrate ratio, ICR). We used multivariable generalized linear mixed-model (GLMM) analysis to assess the association of the interaction between COVID-19 and ICU-day with daily ICR, adjusted for fixed and time-dependent covariates. Glycemic control was assessed after stratification on diabetes and COVID-19. We used multivariable logistic regression analysis to assess the association between ICR and 90-day mortality. The mean (95% CI) of the mean daily ICR among patients without diabetes was 0.09 (0.08-0.11) U/g and 0.15 (0.11-0.18) U/g in the non-COVID-19 group and COVID-19 group (p = .01), respectively. In diabetes patients, the corresponding ICRs were 0.52 (0.43-0.62) U/g and 0.59 (0.50-0.68) U/g (p = .32). In multivariable GLMM analysis, the interaction between COVID-19 and ICU-day was independently associated with ICR (risk estimate 1.22, 95% CI 1.15-1.31, p < .001). COVID-19 was associated with higher hypoglycemia prevalence irrespective of diabetes status, higher average glucose levels, more pronounced glucose variability, and a lower proportion of glucose values within target range among patients without diabetes. On multivariable logistic regression analysis, the adjusted odds ratio for 90-day mortality was 1.77 (95% CI 0.94-3.34, p = .076) per one unit increase in mean ICR. In our cohort of ICU patients, COVID-19 was associated with higher daily insulin requirements per gram of administered carbohydrates, and worse glycemic control. We found no robust association between ICR and increased odds of death at 90 days.

The severity assessment and nucleic acid turning-negative-time prediction in COVID-19 patients with COPD using a fused deep learning model

BackgroundPrevious studies have shown that patients with pre-existing chronic obstructive pulmonary diseases (COPD) were more likely to be infected with coronavirus disease (COVID-19) and lead to more severe lung lesions. However, few studies have explored the severity and prognosis of COVID-19 patients with different phenotypes of COPD.PurposeThe aim of this study is to investigate the value of the deep learning and radiomics features for the severity evaluation and the nucleic acid turning-negative time prediction in COVID-19 patients with COPD including two phenotypes of chronic bronchitis predominant patients and emphysema predominant patients.MethodsA total of 281 patients were retrospectively collected from Hohhot First Hospital between October 2022 and January 2023. They were divided to three groups: COVID-19 group of 95 patients, COVID-19 with emphysema group of 94 patients, COVID-19 with chronic bronchitis group of 92 patients. All patients underwent chest computed tomography (CT) scans and recorded clinical data. The U-net model was pretrained to segment the pulmonary involvement area on CT images and the severity of pneumonia were evaluated by the percentage of pulmonary involvement volume to lung volume. The 107 radiomics features were extracted by pyradiomics package. The Spearman method was employed to analyze the correlation of the data and visualize it through a heatmap. Then we establish a deep learning model (model 1) and a fusion model (model 2) combined deep learning with radiomics features to predict nucleic acid turning-negative time.ResultsCOVID-19 patients with emphysema was lowest in the lymphocyte count compared to COVID-19 patients and COVID-19 companied with chronic bronchitis, and they have the most extensive range of pulmonary inflammation. The lymphocyte count was significantly correlated with pulmonary involvement and the time for nucleic acid turning negative (r=-0.145, P < 0.05). Importantly, our results demonstrated that model 2 achieved an accuracy of 80.9% in predicting nucleic acid turning-negative time.ConclusionThe pre-existing emphysema phenotype of COPD severely aggravated the pulmonary involvement of COVID-19 patients. Deep learning and radiomics features may provide more information to accurately predict the nucleic acid turning-negative time, which is expected to play an important role in clinical practice.

CLINICAL AND EPIDEMIOLOGICAL FEATURES OF THE COURSE OF CORONAVIRUS INFECTION DEPENDING ON THE PERIOD OF ILLNESS

After the COVID-19 pandemic, the persistence of Long COVID symptoms is of particular concern, which significantly affects the quality of life and ability to work. The aim of the study is to establish the peculiarities of clinical and epidemiological data in patients infected with SARS-CoV-2 depending on the period of illness. Patients and methods. We examined 108 patients divided into three groups: those with confirmed COVID-19, those with Long COVID, and practically healthy persons. The epidemiological and clinical features of the course were determined based on the analysis of medical records and the developed questionnaire. Results. Women predominated among the study subjects (56 %) with an average age of 41.44 years. The main symptoms that characterized the clinical picture of COVID-19 were generalized weakness/fatigue (94 %), headache (74 %), fever/body aches and cough in 71 % of patients (p&lt;0.05). In the Long COVID group, compared to the COVID-19 group, generalized weakness/fatigue (40 %), headache (29 %), fever/body aches (3 %), and cough (9 %) were significantly less common, sleep disorders / insomnia (17 %), muscle pain (11 %), shortness of breath (17 %), runny nose / sneezing (6 %), loss (worsening) of appetite (3 %), sore throat (6 %), difficulty concentrating (6 %), abdominal pain (3 %) (p&lt;0.05). Conclusions. Reduced access to healthcare services leads to delayed hospitalization, prolonged treatment, and complications. The level of vaccination does not affect the risk of Long COVID. Clinical signs of Long COVID: generalized weakness/fatigue, anxiety, mood disturbance, headache are detected in one third of patients and cause a decrease in overall quality of life. The most persistent are general weakness/fatigue, headache, shortness of breath, sleep disorders/insomnia and persist in 34-42 % of patients from the moment COVID-19 is confirmed.

Comparative analyses of post-infectious olfactory dysfunction between COVID-19 and non-COVID-19 cases

To identify the differences between COVID-19-associated and non-COVID-19-associated olfactory dysfunction (OD), we analyzed demographic and clinical characteristics based on the causative virus (COVID versus non-COVID groups) in patients with post-infectious olfactory dysfunction (PIOD) who underwent the olfactory questionnaire and olfactory function test. Out of 169 patients with PIOD, 99 were diagnosed with COVID-19 (COVID group), while 70 were not (non-COVID group). The COVID group was younger and had a higher percentage of male patients as well as patients with parosmia than the non-COVID group. In the initial olfactory function tests, the TDI, discrimination and identification scores were significantly higher in the COVID group than in the non-COVID group. TDI scores were significantly increased in patients with PIOD after treatment, regardless of the group. The threshold score was significantly increased by 1.38 in the COVID group while the identification score was significantly increased by 2.67 in the non-COVID group. Patients with COVID-19-associated OD were younger in age, tended to be male, had a higher incidence of parosmia, and had better initial olfactory function test results compared to those with non-COVID-19-associated OD. Following treatment, odor detection threshold improved in the COVID group, whereas odor identification improved in the non-COVID group.

COVID-19 is associated with cardiac structural and functional remodelling in healthy middle-aged and older individuals.

Coronavirus disease 2019 (COVID-19) was declared a global pandemic in 2019. It remains uncertain to what extent COVID-19 effects the heart in heathy individuals. To evaluate the effect of the COVID-19 on cardiac structure and function in middle-aged and older individuals. A single-centre prospective observational study enroled a total of 124 participants (84 with history of COVID-19 [COVID-19 group] and 40 without a history of COVID-19 [non-COVID group]). All participants underwent echocardiography with speckle tracking to assess cardiac structure and function at rest and during peak exercise. There were no differences in left and right ventricular diastolic function (p ≥ 0.05) between the COVID-19 and non-COVID-19 groups. Participants in COVID-19 group demonstrated higher left ventricular mass (130 ± 39.8 vs. 113 ± 27.2 g, p = 0.008) and relative wall thickness (0.38 ± 0.07 vs. 0.36 ± 0.13, p = 0.049). Left ventricular global longitudinal strain was reduced in the COVID-19 group at rest and at peak-exercise (rest: 18.3 ± 2.01 vs. 19.3 ± 1.53%, p = 0.004; peak exercise: 19.1 ± 2.20 vs. 21.0 ± 1.58%, p ≤ 0.001). However, no difference was seen in resting left ventricular ejection fraction (58 ± 2.89 vs. 59 ± 2.51%, p = 0.565) between groups. Right ventricular fractional area change was reduced in the COVID-19 group (p = 0.012). Cardiac structural and functional remodelling was observed in middle-aged and older otherwise healthy individuals with a history of COVID-19.

Effects of school closure on lifestyle behaviours and health outcomes in children during the COVID-19 pandemic in Chile: A time-matched analysis.

The COVID-19 pandemic led to school closures, potentially impairing children's behaviours and health. We aimed to explore the effects of school closure on lifestyle behaviours (dietary habits, physical activity) and health outcomes (adiposity, fitness, self-esteem, self-concept) in children. We measured 247 children before school closure (October-November 2019) and after school reopening (October-November 2021) (COVID-19 group). To distinguish the changes due to school closure from changes due to growth, we included 655 age-matched children with cross-sectional measurements in October-November 2019 (control group). The response of this group (i.e., differences between children with 2 years of difference) was considered the expected response to growth. Two-way ANOVA was used to test age-by-group interactions, indicating an effect of school closure. In 7-to-9-year-old children, the COVID-19 group had larger-than-expected decreases in physical activity (by 0.4 points), resulting in higher physical inactivity prevalence (by 19 percent points) at 9 years. This was accompanied by larger-than-expected increases in fat percentage (by 6.1 percent point). In 8-to-10-year-old children, the COVID-19 group had higher physical inactivity prevalence at 10 years (by 20 percent points). This was accompanied by larger-than-expected increases in fat percentage (by 8.3 percent points), z-score BMI (by 0.90 units), and waist circumference (by 6.1 cm). In 9-to-11-year-old children, the COVID-19 group had larger-than-expected decreases in physical activity (by 0.3 points) and increases in self-concept (by 0.2 points). The response in dietary habits, fitness, or self-esteem was not different between groups. Overall, school closure negatively impacted physical activity and adiposity, particularly in the youngest children.

Metabolic Profiles of Critically Ill COVID-19 Patients: A Comparative Analysis of Energy Expenditure.

Introduction and aims The COVID-19 pandemic has placed a significant burden on healthcare systems worldwide, especially in the management of critically ill patients. Accurate assessment of energy expenditure (EE) is crucial for providing optimal nutritional support and improving clinical outcomes in these patients. Indirect calorimetry (IC) is the preferred method for measuring EE, yet its use in critically ill COVID-19 patients has not been extensively documented. This study aims to evaluate EE in critically ill patients with and without COVID-19 to identify differences that may impact nutritional support strategies. Methods We conducted a retrospective observational study at a large tertiary university hospital, focusing on critically ill patients. The study compared calorimetry data between patients with and without COVID-19. Data collected included resting energy expenditure, energy expenditure per kilogram, and respiratory exchange rate quotient using IC. Statistical analysis was conducted using SPSS Version 28, with a significance level set at p < 0.05. Results The study included 95 critically ill patients, comprising 61 non-COVID-19 patients and 34 COVID-19 patients. It was found that COVID-19 patients had significantly lower Simplified Acute Physiology Score (SAPS) II compared to their non-COVID-19 counterparts. Although no significant differences in energy needs over time were detected between the two groups or within the COVID-19 group alone, there was a trend towards lower energy needs in COVID-19 patients. Significant differences were noted in respiratory quotient among COVID-19 patients, particularly between those with and without pulmonary thromboembolism, with the latter group exhibiting lower RQ values. Conclusion Our study suggests that while overall EE may not significantly differ between critically ill COVID-19 and non-COVID-19 patients, there are potential differences in substrate use that underline the necessity for individualized nutritional support. These findings highlight the importance of tailoring nutritional interventions to meet the specific needs of critically ill patients, particularly those with COVID-19.

When Chinese patients with plasma cell disorders encountered the nationwide Omicron outbreak (December 2022): a real-world multicenter and multiregional study.

This study aims to assess the impact of the nationwide Omicron outbreak in December 2022 on Chinese patients with plasma cell disorders (PCD), focusing on the clinical characteristics of PCD patients with COVID-19 and the risk factors contributing to adverse clinical courses (severity and hospitalization) and outcomes. A multicenter retrospective study was performed from December 1, 2022, to January 19, 2023. The study population includes 404 PCD patients, divided into a COVID-19 group (n = 342) and an uninfected group (n = 62). The frequency of COVID-19 infection was 84.7% (342/404), and 16.4% (56/342) were severe COVID-19. Among the 277 patients with complete follow-up, 2 deaths (0.7%) were reported, while 231 (83.4%) recovered from COVID-19. Age > 65 (P = 0.02) and prior anti-CD38 monoclonal antibody (mAb) treatment within six months (P = 0.03) were independent risk factors for severe infection. Additionally, previous chimeric antigen receptor T-cell (CAR-T) therapy within six months was correlated with a higher risk of hospitalization (P = 0.04) and prolonged recovery time (P = 0.03). No significant protective effect of vaccination on infection or severe infection was observed (P > 0.05). The latest Omicron outbreak results in higher rates of severe infection and mortality in PCD patients compared with the general population in China, highlighting the need to protect this vulnerable population during the pandemic. Recent use of anti-CD38 mAb and CAR-T therapy are associated with poorer clinical courses and outcomes of PCD patients with COVID-19.

Comparing personality traits of healthcare workers with and without long COVID: Cross-sectional study.

Pathological mechanisms of "long COVID" after recovery from the main symptoms of COVID-19 are unclear. We compared psychological differences between individuals with and without long COVID symptoms after initial COVID-19 infections. This study includes medical workers with and without history of COVID-19. We assessed the degree of depression, health-related quality of life (HRQOL), the degree of anxiety and fear of COVID-19, and we used an original questionnaire. In the COVID-19 group, we also assessed personality traits and anxiety. The COVID-19 group was subclassified into those with and without long COVID to examine differences in circumstantial and psychological examinations. Of 310 participants (141 men, 169 women, median age: 40 years), 167 had history of COVID-19 (83/84, 37 years) and 143 did not (58 men/85 women, 46 years). In the COVID-19 group, 26 had long COVID (12/14, 32 years) and 141 did not (58/85, 46 years). Fewer participants in the COVID-19 group had had COVID-19 vaccinations. The long COVID group had higher number of symptoms at the time of illness and higher NEO Five Factor Inventory Neuroticism scores than the non-long COVID group. They also had poorer mental health according to HRQOL than those without. Risk factors for long COVID may include the number of symptoms at the time of illness and neurotic tendency on NEO Five Factor Inventory. Participants with long COVID had poorer mental health according to HRQOL. People with long COVID might be especially sensitive to and pessimistic about the symptoms that interfere with their daily lives, resulting in certain cognitive and behavioral patterns. They may benefit from early psychiatric intervention.