Predictors of COVID-19 severity: a systematic review and meta-analysis

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

BACKGROUND

Previous 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.

PURPOSE

The 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.

METHODS

A 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.

RESULTS

COVID-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.

CONCLUSION

The 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.

Prospective Variation of Cytokine Trends during COVID-19: A Progressive Approach from Disease Onset until Outcome

COVID-19 is characterized by pronounced hypercytokinemia. The cytokine switch, marked by an imbalance between pro-inflammatory and anti-inflammatory cytokines, emerged as a focal point of investigation throughout the COVID-19 pandemic. However, the kinetics and temporal dynamics of cytokine release remain contradictory, making the development of new therapeutics difficult, especially in severe cases. This study collected serum samples from SARS-CoV-2 infected patients at 72 h intervals and monitored them for various cytokines at each timepoint until hospital discharge or death. Cytokine levels were analyzed based on time since symptom onset and patient outcomes. All cytokines studied prospectively were strong predictors of mortality, particularly IL-4 (AUC = 0.98) and IL-1β (AUC = 0.96). First-timepoint evaluations showed elevated cytokine levels in the mortality group (p < 0.001). Interestingly, IFN-γ levels decreased over time in the death group but increased in the survival group. Patients who died exhibited sustained levels of IL-1β and IL-4 and increased IL-6 levels over time. These findings suggest cytokine elevation is crucial in predicting COVID-19 mortality. The dynamic interplay between IFN-γ and IL-4 highlights the balance between Th1/Th2 immune responses and underscores IFN-γ as a powerful indicator of immune dysregulation throughout the infection.

Obesity Parameters as Predictor of Poor Outcomes in Hospitalized Patients with Confirmed Mild-to-Moderate COVID-19

(1) Background: This study aims to assess visceral fat values, waist circumference (WC), body mass index (BMI), and body fat percentage for their ability to predict poor outcomes during COVID-19 patients' hospitalization; (2) Methods: This study was a prospective cohort of mild-moderate COVID-19 patients hospitalized at Dr. Cipto Mangunkusumo National General Hospital from December 2020 to March 2021. This study includes hospitalized patients over 18 diagnosed with COVID-19 using RT-PCR. Patients who do not have chest radiography, waist circumference, a bioimpedance analyzer (BIA) error, or are unable to stand or mobilize during the examination are excluded from this study. Cox regression was used for multivariate analysis; (3) Results: The study included two hundred sixty-one patients. The median visceral fat value was 10 (equivalent to 100 cm2), the WC was 93.4 cm, the BMI was 26.1 kg/m2, and the body fat percentage was 31.5%. Based on multivariate Cox regression, WC was statistically significant as an independent factor influencing poor outcomes in COVID-19 patients (RR 1.037 [95% CI 1.011-1.064]) along with COVID-19 degree of severity (RR 3.063 [95% CI 1.537-6.104]) and comorbidities (RR 2.123 [95% CI 1.017-4.435]); (4) Conclusions: Waist circumference can influence poor outcomes in confirmed COVID-19 patients during hospitalization.

Do dynamic changes in haematological and biochemical parameters predict mortality in critically ill COVID-19 patients?

BACKGROUND

Critically ill COVID-19 patients are usually subjected to clinical, laboratory, and radiological diagnostic procedures resulting in numerous findings. Utilizing these findings as indicators for disease progression or outcome prediction is particularly intriguing.

OBJECTIVES

Exploring the significance of dynamic changes in haematological and biochemical parameters in predicting the mortality of critically ill COVID-19 patients.

METHODS

The present study was a prospective and observational study involving mechanically ventilated 75 critically ill adult COVID-19 patients with hypoxemic respiratory failure. The collected data included baseline patient characteristics, treatment options, outcome, and laboratory findings at admission and 7 days after. The dynamics of the obtained findings were compared between survivors and non-survivors.

RESULTS

The 28-day survival rate was 61.3%. In the group of non-survivors significant dynamic changes were found for C-reactive protein (p= 0.001), interleukin-6 (p< 0.001), lymphocyte (p= 0.003), neutrophil-lymphocyte ratio (p= 0.003), platelets (p< 0.001), haemoglobin (p< 0.001), iron (p= 0.012), and total iron-binding capacity (p< 0.001). Statistically significant changes over time were found for ferritin (p= 0.010), D-dimer (p< 0.001), hs-troponin T (p< 0.002), lactate dehydrogenase (p= 0.001), glucose (p= 0.023), unsaturated iron-binding capacity (p= 0.008), and vitamin D (p< 0.001).

CONCLUSION

The dynamic changes in inflammatory, haematological and biochemical parameters can predict disease severity, and outcome.

More severe comorbidities, advanced age, and incomplete vaccination increase the risk of COVID-19 mortality

Numerous studies have stated that comorbidities are risk factors for coronavirus disease 2019 (COVID-19) mortality, but few have considered the severity or stage of these comorbidities. The aim of this study was to determine the association between the severity of comorbidity, age, and number of COVID-19 vaccinations with COVID-19 mortality. This case-control study was conducted from July 2021 until December 2022 at the Dr. Soetomo General Academic Hospital, Surabaya, Indonesia. The patients were divided into non-survived patients (case group) and survived patients (control group). The inclusion criteria for cases were adult patients hospitalized with confirmed COVID-19, based on reverse transcriptase-polymerase chain reaction (RT-PCR) testing of nasopharyngeal swabs. Using total sampling, 1,046 confirmed COVID-19 patients, which consisted of 450 (43%) non-survived patients and 596 (57%) survived patients, were included. The most common comorbidity was diabetes mellitus (DM) (82.7%), chronic kidney disease (CKD) (43%), hypertension (25.7%), and obesity (23.6%). Our multivariate analysis indicated that older age (aOR: 1.03; 95%CI: 1.02-1.04, p<0.001), male sex (aOR: 1.29; 95%CI: 1.11- 2.00, p=0.007), severe COVID-19 at first admission (aOR: 3.13; 95%CI: 2.08-4.73, p<0.001), having pneumonia (aOR: 1.99; 95%CI: 1.21-3.33, p=0.005), poorly controlled DM with HbA1c≥9% (aOR: 2.90; 95%CI: 1.72-4.89, p<0.001), severe obesity with body mass index (BMI)≥30 (OR: 2.90; 95%CI: 1.72-4.89, p<0.001), hypertension stage 2 (aOR: 1.99; 95%CI: 1.12-3.53, p=0.019) or stage 3 (aOR: 6.59; 95%CI: 2.39-18.17, p<0.001), CKD stage 3 (aOR: 2.50; 95%CI: 1.36-4.59, p=0.003), stage 4 (aOR: 5.47; 95%CI: 2.18-13.69, p<0.001) or stage 5 (aOR: 1.71; 95%CI: 1.04-2.81, p=0.036), and having chronic lung disease (aOR: 3.08; 95%CI: 1.22-7.77, p=0.017) significantly increased the risk of COVID-19 mortality. In contrast, COVID-19 vaccination reduced the risk of COVID-19-associated death. This study highlights that more severe comorbidities, advanced age, and incomplete vaccination were associated with COVID-19 mortality.

Shock index and shock index, pediatric age-adjusted as predictors of mortality in pediatric patients with trauma: A systematic review and meta-analysis

This study aimed to assess the predictive ability of the shock index (SI) and the shock index, pediatric age-adjusted (SIPA) for mortality among pediatric patients with trauma (aged ≤ 18 years). A systematic search used PubMed, Embase, and Cochrane Library databases to identify pertinent articles published from their inception to 13 February 2023. For each SI and SIPA, the pooled sensitivity, specificity, diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic curve (AUC) with the corresponding 95% confidence intervals were calculated. We planned a priori meta-regression analyses to explore heterogeneity using the following covariates: country, clinical setting, type of center, data source, and cutoff value. Twelve studies were included based on the inclusion criteria. Among them, nine studies with 195,469 patients were included for the SIPA at the hospital, four studies with 4,970 patients were included for the pre-hospital SIPA, and seven studies with 606,445 patients were included to assess the ability of the SI in predicting mortality. The pooled sensitivity and specificity with 95% confidence interval for predicting mortality were as follows: 0.58 (0.44-0.70) and 0.72 (0.60-0.82), respectively, for the SIPA at the hospital; 0.61 (0.47-0.74) and 0.67 (0.61-0.73), respectively, for the pre-hospital SIPA; and 0.71 (0.59-0.81) and 0.45 (0.31-0.59), respectively for the SI. The DOR were 3.80, 3.28, and 2.06 for the SIPA at the hospital, pre-hospital SIPA, and SI, respectively. The AUC were 0.693, 0.689, and 0.618 for the SIPA at the hospital, pre-hospital SIPA, and SI, respectively. The SI and SIPA are simple predictive tools with sufficient accuracy that can be readily applied to pediatric patients with trauma, but SIPA and SI should be utilized cautiously due to their limited sensitivity and specificity, respectively.

Pre-Existing Atrial Fibrillation in Hospitalized Patients with COVID-19: Insights from the CARDIO COVID 19-20 Registry

Pre-existing (chronic) atrial fibrillation (AF) has been identified as a risk factor for cardiovascular complications and mortality in patients with COVID-19; however, evidence in Latin America (LATAM) is scarce. This prospective and multicenter study from the CARDIO COVID 19-20 database includes hospitalized adults with COVID-19 from 14 countries in LATAM. A parsimonious logistic regression model was used to identify the main factors associated with mortality in a simulated case-control setting comparing patients with a history of AF to those without. In total, 3260 patients were included, of which 115 had AF. The AF group was older, had a higher prevalence of comorbidities, and had greater use of cardiovascular medications. In the model, AF, chronic kidney disease, and a respiratory rate > 25 at admission were associated with higher in-hospital mortality. The use of corticosteroids did not reach statistical significance; however, an effect was seen through the confidence interval. Thus, pre-existing AF increases mortality risk irrespective of other concomitant factors. Chronic kidney disease and a high respiratory rate at admission are also key factors for in-hospital mortality. These findings highlight the importance of comorbidities and regional characteristics in COVID-19 outcomes, in this instance, enhancing the evidence for patients from LATAM.

Long term follow-up of heart rate variability in healthcare workers with mild COVID-19

Introduction

Prior investigations into post-COVID dysautonomia often lacked control groups or compared affected individuals solely to healthy volunteers. In addition, no data on the follow-up of patients with SARS-CoV-2-related autonomic imbalance are available.

Methods

In this study, we conducted a comprehensive clinical and functional follow-up on healthcare workers (HCWs) with former mild COVID-19 (group 1, n = 67), to delineate the trajectory of post-acute autonomic imbalance, we previously detected in a case-control study. Additionally, we assessed HCWs for which a test before SARS-CoV-2 infection was available (group 2, n = 29), who later contracted SARS-CoV-2, aiming to validate findings from our prior case-control investigation. We evaluated autonomic nervous system heart modulation by means of time and frequency domain heart rate variability analysis (HRV) in HCWs during health surveillance visits. Short-term electrocardiogram (ECG) recordings, were obtained at about 6, 13 months and both at 6 and 13 months from the negative SARS-CoV-2 naso-pharyngeal swab (NPS) for group 1 and at about 1-month from the negative NPS for group 2. HCWs who used drugs, had comorbidities that affected HRV, or were hospitalized with severe COVID-19 were excluded.

Results

Group 1 was split into three subgroups clinically and functionally followed at, about 6 months (subgroup-A, n = 17), 13 months (subgroup-B, n = 37) and both at 6 and 13 months (subgroup-C, n = 13) from the negative SARS-CoV-2 NPS. In subgroup-A, at 6-month follow-up compared with baseline, the spectral components in the frequency domain HRV parameters, showed an increase in normalized high frequency power (nHF) (t = 2.99, p = 0.009), a decrease in the normalized low frequency power (nLF) (t = 2.98, p = 0.009) and in the LF/HF ratio (t = 3.13, p = 0.006). In subgroup B, the comparison of the spectral components in the frequency domain HRV parameters, at 13-month follow-up compared with baseline, showed an increase in nHF (t = 2.54, p = 0.02); a decrease in nLF (t = 2.62, p = 0.01) and in the LF/HF ratio (t = 4.00, p = 0.0003). In subgroup-C, at both 6 and 13-month follow-ups, the spectral components in the frequency domain HRV parameters were higher than baseline in nHF (t = 2.64, p = 0.02 and (t = 2.13, p = 0.05, respectively); lower in nLF (t = 2.64, p = 0.02 and (t = 2.13, p = 0.05, respectively), and in LF/HF (t = 1.92, p = 0.08 and (t = 2.43, p = 0.03, respectively). A significant proportion of HCWs reported persistent COVID-19 symptoms at both the 6 and 13-month follow-ups, seemingly unrelated to cardiac autonomic balance. In group 2 HCWs, at 1-month follow-up compared with baseline, the spectral components in the frequency domain HRV parameters, showed a decrease in nHF (t = 2.19, p = 0.04); an increase in nLF (t = 2.15, p = 0.04) and in LF/HF (t = 3.49, p = 0.002).

Conclusion

These results are consistent with epidemiological data suggesting a higher risk of acute cardiovascular complications during the first 30 days after COVID-19. The SARS-CoV-2 associated autonomic imbalance in the post-acute phase after recovery of mild COVID-19 resolved 6 months after the first negative SARS-CoV-2 NPS. However, a significant proportion of HCWs reported long-term COVID-19 symptoms, which dot not seems to be related to cardiac autonomic balance. Future research should certainly further test whether autonomic imbalance has a role in the mechanisms of long-COVID syndrome.

Immunoglobulins in COVID-19 pneumonia: from the acute phase to the recovery phase

BACKGROUND

COVID-19 pneumonia causes hyperinflammatory response that culminates in acute respiratory syndrome (ARDS) related to increased multiorgan dysfunction and mortality risk. Antiviral-neutralizing immunoglobulins production reflect the host humoral status and illness severity, and thus, immunoglobulin (Ig) circulating levels could be evidence of COVID-19 prognosis.

METHODS

The relationship among circulating immunoglobulins (IgA, IgG, IgM) and COVID-19 pneumonia was evaluated using clinical information and blood samples in a COVID-19 cohort composed by 320 individuals recruited during the acute phase and followed up to 4 to 8 weeks (n = 252) from the Spanish first to fourth waves.

RESULTS

COVID-19 pneumonia development depended on baseline Ig concentrations. Circulating IgA levels together with clinical features at acute phase was highly associated with COVID-19 pneumonia development. IgM was positively correlated with obesity (ρb = 0.156, P = 0.020), dyslipemia (ρb = 0.140, P = 0.029), COPD (ρb = 0.133, P = 0.037), cancer (ρb = 0.173, P = 0.007) and hypertension (ρb = 0.148, P = 0.020). Ig concentrations at recovery phase were related to COVID-19 treatments.

CONCLUSIONS

Our results provide valuable information on the dynamics of immunoglobulins upon SARS-CoV-2 infection or other similar viruses.

Risk factors associated with severe COVID-19 outcomes in Jamaica: a cross-sectional study of national surveillance data

Objectives

To describe the characteristics and outcomes of COVID-19 cases in Jamaica and to explore the risk factors associated with severe COVID-19 from 9 March to 31 December 2020.

Methods

A cross-sectional analysis of national surveillance data was conducted using confirmed COVID-19 cases in Jamaica. Definitions of a confirmed case, disease severity, and death were based on World Health Organization guidelines. Chi-square and Fisher exact tests were used to determine association with outcomes. Logistic regression models were used to determine predictors of severe COVID-19.

Results

This analysis included 12 169 cases of COVID-19 (median age, 36 years; 6 744 females [ 55.4%]) of which 512 cases (4.2%) presented with severe disease, and of those, 318 patients (62.1%) died (median age at death, 71.5 years). Severe disease was associated with being male (OR 1.4; 95% CI, 1.2-1.7) and 40 years or older (OR, 6.5; 95% CI, 5.1-8.2). COVID-19 death was also associated with being male (OR, 1.4; 95% CI, 1.1-1.7), age 40 years or older (OR, 17.9; 95% CI, 11.6-27.7), and in the Western versus South East Health Region (OR 1.7; 95% CI, 1.2-2.3).

Conclusions

The findings of this cross-sectional analysis indicate that confirmed cases of COVID-19 in Jamaica were more likely to be female and younger individuals, whereas COVID-19 deaths occurred more frequently in males and older individuals. There is increased risk of poor COVID-19 outcomes beginning at age 40, with males disproportionately affected. COVID-19 death also varied by geographic region. This evidence could be useful to other countries with similar settings and to policymakers charged with managing outbreaks and health.

Hemostatic and liver function parameters as COVID-19 severity markers

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a disease newly discovered in December 2019 which affects coagulation cascade and liver functions. The aim of this study was to investigate the potential of hemostatic and liver function parameters as severity markers in COVID-19 patients. This study was an observational analytic with cohort retrospective design using total sampling method. Data were retrieved from medical record of COVID-19 patients admitted to provincial hospital in Banda Aceh, Indonesia from March 2020 to March 2022. There were 1208 data eligible for the study after applying certain criteria. Mann-Whitney, logistic regression, and receiving operating characteristic (ROC) analyses were used to analysis the data. Thrombocyte count (p<0.001), prothrombin time (p<0.001), activated partial thromboplastin time (p<0.001), D-dimer (p<0.001), fibrinogen (p<0.001), aspartate aminotransferase (p<0.001), and alanine transaminase (p<0.001) significantly increased in severe compared to mild COVID-19 patients. After being adjusted, age (odds ratio (OR); 1.026 (95% confidence interval (CI): 1.016-1.037) was the most significant factor in predicting COVID-19 severity. Fibrinogen (cut-off 526.5 mg/L) was the best parameter associated with COVID-19 severity with 70% sensitivity and 66.4% specificity. Meanwhile, D-dimer (cut-off 805 ng/mL) had a sensitivity of 72.3% and specificity of 66.4%. Combining the parameters resulted in improved sensitivity to 82.0% with a slight decline of specificity to 65.5%. In conclusion, fibrinogen and D-dimer level on admission could be used as biomarkers in predicting COVID-19 prognosis. Routine monitoring and evaluation of laboratory testing especially D-dimer and fibrinogen could be implemented in order to reduce morbidity and mortality rate of COVID-19.

Comparison of ELISA with automated ECLIA for IL-6 determination in COVID-19 patients: An Italian real-life experience

Objectives

Coronavirus disease 2019 (COVID-19) has a wide spectrum of clinical severity. A cytokine storm is associated with COVID-19 severity. Of these, IL-6 is significantly associated with higher mortality and is also a marker for predicting disease prognosis. IL-6 may act as a target for therapeutics and, a blockade of IL-6 function by Tocilizumab has been described as a treatment of the inflammatory process COVID-19-related. This study aims to describe our experience comparing two different methods, in detail Human IL-6 Instant ELISA and the Elecsys IL-6 based on ECLIA, for the IL-6 assessment.

Design and methods

IL-6 levels from serum samples of 104 COVID-19 patients, admitted to the AOU Careggi (Hospital in Florence -Italy), were assessed by using the two above-mentioned methods, and the results were analysed through Passing-Bablok regression fit and Bland-Altman plot.

Results

The regression exhibited a linear relation between the methods with a regression equation (y = - 0.13 + 0.63 x; 95 % C.I. intercept = - 0.13 to 4.55; 95 % C.I. slope = 1.03 to 1.26 with R2 = 0.89, p > 0.05), showing a positive slope. The agreement of the two methods reported a bias of -25.0 pg/mL. Thus, the two methods correlate but do not agree in terms of numeric results.

Conclusions

The two assays showed good comparability. However, because of the extremely wide linear range of the ECLIA, its throughput and its capacity for immune profiling, it represents an interesting emerging technology in the immunology field.

Correlation between interleukin-6 expression in post-mortem core liver biopsy and degree of liver injury in patients with fatal COVID-19

Excessive release of interleukin-6 (IL-6) during the progression of coronavirus disease 2019 (COVID-19) induces cytokine storms, resulting in multi-organ damages including liver injury, similar in nature with mechanism of viral hepatitis. Systemic IL-6 has been associated with the incidence of liver injury among COVID-19 patients; however, studies on IL-6 expression in the liver tissue are completely lacking. The aim of this study was to measure the IL-6 expression in the liver tissues and to determine its correlation with the degree of liver injury in fatal COVID-19 patients. Through this first cross-sectional study, IL-6 expression was measured through immunohistochemical staining and the degree of liver injury was identified based on level of serum alanine aminotransferase (ALT). The Spearman correlation test was used to identify the correlation between IL-6 expression and the degree of liver injury. A total of 47 deceased COVID-19 patients were included and IL-6 expression was observed in all post-mortem liver specimens, ranging from mild to strong expression. Liver injury at various degrees (mild to severe) was found in more than half (59.5%) of the cases. The Spearman correlation analysis suggested a statistically insignificant correlation between liver IL-6 expression and the degree of liver injury (r=0.152; p=0.309). In conclusion, even IL-6 expression was observed in all post-mortem liver specimens, there was an insignificant correlation between IL-6 expression in the liver tissue with the degree of liver injury among fatal COVID-19 patients, suggesting that IL-6 was not the only main factor contributing to liver damage in COVID-19 patients.

Clinical characteristics and predictors of COVID-19 in a community sample from urban areas of Chennai, Southern India

In early 2020, with the arrival of the first case of COVID-19 in India, the laboratory at The Tamil Nadu Dr. MGR Medical University was recognized as a national testing site and received samples from two zones of Greater Chennai Corporation. This descriptive study analyzed the testing outcomes, along with demographics, self-reported symptoms, potential exposure to COVID-19 that were recorded in Sample Report Forms between June and September 2020. Nasopharygeal/oropharyngeal swabs were tested for SARS CoV-2 by RT-PCR Test. Of the 18,082 samples that were tested, 18% (3267) received a COVID-19 positive RT-PCR result for COVID-19. Among the COVID-19 positives, 40.9% (1336) were females (p < 0.000). Individuals in the age groups 21-30 and 31-40 years included the largest number (767, 23.48% each) of COVID-19 positive cases. The largest number of cases were from those who were classified as Severe Acute Respiratory Illness (SARI) or Influenza Like Illness (ILI) (1657, 50.7%) followed by those who reported direct contact with a COVID-19 lab confirmed case (1163, 35.6%). Among those with symptoms, 1791 (28.9%) tested COVID-19 positive compared to 1476 who were COVID-19 positive and asymptomatic (p < 0.001). Main symptoms were cough (32.1%), fever (48.3%), body ache (21.04%) and sore throat (30.60%). In multivariable analysis, history of SARI/ILI, contact with a confirmed case and having fever, cough and sore throat were the main predictors of being COVID-19 positive. Therefore, clinical and demographic characteristics correlated with COVID-19 positivity. And classification of patients based on self-reported symptoms and risk categories offers a model to prioritize testing and vaccination efforts.

Incidence, severity and outcomes of COVID-19 in age and gender matched adults with and without epilepsy in Moscow: A historical cohort study

OBJECTIVE

We hypothesized that PWE have an increased risk to acquire COVID-19. This was a historical cohort study to determine COVID-19 incidence, severity, mortality and risk factors in adults with active epilepsy (PWE) compared to residents of Moscow without epilepsy matched by age, gender, and region of residence - Moscow Community Comparisons (MCC).

METHODS

Subjects were derived from a cohort of adult PWE and a cohort of age- and gender-matched population-based MCC without epilepsy identified in 2018. Incidence of COVID-19 was compared in each cohort from 01.03.2020 through 28.02.21. Influence of age, gender, comorbidities, and for the PWE cohort, epilepsy type, seizure frequency, and number/class of antiseizure medications was evaluated using Pearson's chi-squared test and logistic regression analysis.

RESULTS

We found 887 COVID-19 positive people in the two cohorts: 156 in PWE (51.8 ± 19.7 years) and 731 in MCC (52.0 ± 17.3 years,). COVID-19 incidence was lower in PWE: 13.8 % versus 18.7 % in MCC (p = 0.0002). In PWE no specific epilepsy related variables influenced incidence. Despite no difference in severity distribution in PWE versus MCC, hospitalization rate (37.6 % versus 25.5 %, p = 0.002), disease duration (57.1 % versus 47.1, p = 0.023), and mortality (10.9% versus 4.2 %, p = 0.0009) were significantly higher in PWE. Age and number of comorbidities significantly influenced COVID-19 incidence, severity, duration, and outcomes in both cohorts.

SIGNIFICANCE

Incidence of COVID-19 in PWE in Moscow was significantly lower compared to MCC. Age and comorbidities were strongly associated with severity, duration and outcomes of COVID-19 for all infected persons. Higher mortality in PWE may be explained by a higher number of comorbidities.

Normoblastemia in COVID-19 patients is associated with more severe disease and adverse outcome

OBJECTIVES

The clinical, pathological, and laboratory correlates of normoblastemia in COVID-19 patients have not been adequately explored. We sought to assess the frequency of normoblastemia in COVID-19, its association with other markers of disease, as well as other clinical outcomes.

METHODS

All COVID-19 patients seen at our institution with at least one automated complete blood count (aCBC) evaluation from March to May 2020 were included in this retrospective cohort analysis. Results of aCBC and tests for markers of the acute phase response performed within 5 days before the first COVID-19 positive test and 14 days after the last positive test were reviewed. We also evaluated histologic features of the reticuloendothelial system of COVID-19 decedents.

RESULTS

Among a total of 2501 COVID-19 patients, 715 (28.6%) were found to have normoblastemia. Patients with this abnormality had significantly higher (median, (1st quartile, 3rd quartile) WBC (15.7 (11.2, 23.1) u/L vs. 8.3 (6.2, 11.5) u/L), absolute neutrophil count (7.0 (5.1, 10.1) u/L vs. 5.1 (3.7, 7.3) u/L), immature granulocyte percentage (0.8 (0.5, 1.3)% vs. 0.5 (0.3, 0.8)%), ESR (76.0 (60.5, 100.0) mm/hr vs. 66.0 (45.0, 87.0) mm/hr), ferritin (1404.5 (645.0, 2871.0) ng/mL vs. 672.7 (313.4, 1348.0) ng/mL), INR (1.4 (1.2, 1.7) vs. 1.2 (1.1, 1.3)), D-dimer (8.2 (2.8, 20.0) ug/mL FEU vs. 1.5 (0.8, 3.7) µg/mL FEU), and IL-6 (216.6 (77.7, 315.0) pg/mL vs. 54.3 (23.2, 127.8) pg/mL) levels, and lower hemoglobin (12.5 (10.7, 14.2) g/dL vs. 13.2 (11.8, 14.6) g/dL) and absolute lymphocyte count (1.0 (0.7, 1.3) u/L vs. 1.1 (0.8, 1.5) u/L). The incidence of intubation and ventilation support (61.3% (65/106) vs. 10.5% (31/263)) and mortality rates (37.9%, 271/715 vs. 11.8%, 210/1786), were higher in normoblastemic patients. Multivariable logistic regression revealed normoblastemia to be an independent predictive biomarker of short-term mortality in COVID-19.

CONCLUSION

Normoblastemia in COVID-19 is associated with markers of severe disease, extramedullary erythropoiesis, and adverse clinical outcome.

Functional characteristics and subjective disease perception in patients with COVID-19 two months after hospital discharge

Introduction

Although early inpatient and post-hospital rehabilitation is recognized as necessary, not all COVID-19 patients have access to rehabilitation. There are no published reports in the literature that investigate the outcomes of patients who do not receive rehabilitation after COVID-19. Our aim was to evaluate possible improvements in determinate functional and psychological parameters in COVID-19 patients two months after their hospital discharge.

Methods

On both time points various motor, cognitive, and clinical measurements such as body composition, tensiomyography, blood pressure, spirometry, grip strength test, Timed Up and Go test, gait speed, 30-second chair-stand test, and Montreal Cognitive Assessment, were performed. Additionally, questionnaires such as the SARC-CalF test, Edmonton frail scale, International Physical Activity questionnaire andThe Mediterranean Lifestyle index were conducted to assess lifestyle characteristics.

Results

A total of 39 patients (87.2% male; mean age of 59.1 ± 10.3 years), who were hospitalized due to COVID-19 at the Izola General Hospital (IGH), Slovenia between December 2020 and April 2021, were included. Patients were assessed at two time points (T1 and T2): T1 was taken after receiving a negative COVID-19 test and T2 was taken two months after T1. After two months of self-rehabilitation, we have detected a BMI increase (p < .001), fat free mass increase (p < .001), better Edmonton frail scale (p < .001), SARC-CalF score (p = .014) and MoCA score (p = .014). There were no detected changes in lifestyle habits nor in physical performance tests.

Discussion

It is already known that COVID-19 has long-term negative consequences regardless of the stage of the disease. Our findings support the notion that patients cannot fully regain all their functions within a two-month period without receiving structured or supervised rehabilitation. Therefore, it is crucial to offer patients comprehensive and structured rehabilitation that incorporates clinical, cognitive, and motor exercises.

Predictors of disease severity in patients hospitalized with coronavirus disease 2019

BACKGROUND

Coronavirus disease 2019 (COVID-19), caused by a novel coronavirus, manifests as a respiratory illness primarily and symptoms range from asymptomatic to severe respiratory syndrome and even death. During the pandemic, due to overcrowding of medical facilities, clinical assessment to triage patients for home care or in-hospital treatment was an essential element of management.

OBJECTIVES

Study the demographic features, comorbidities and bio-markers that predict severe illness and mortality from COVID-19 infection.

DESIGN

Retrospective observational SETTING: Single tertiary care center PATIENTS AND METHODS: The study included all patients admitted with a positive PCR test for COVID-19 during the period from March 2020 to September 2020 (7 months). Data on demographics, clinical data and laboratory parameters was collected from medical records every 3 days during hospital stay or up until transfer to ICU.

MAIN OUTCOME MEASURES

Demographic, comorbidities and biochemical features that might predict severe COVID-19 disease.

SAMPLE SIZE

372 RESULTS: Of the 372 patients, 72 (19.4%) had severe disease requiring admission to intensive care unit (ICU); 6 (1.6%) died. Individuals over 62 years were more likely to be admitted to the ICU (P=.0001, while a BMI of 40 and higher increased the odds of severe disease (P=.032). Male gender (P=.042), hypertension (P=.006) and diabetes (P=.001) conferred a statistically significant increased risk of admission to ICU, while coexisting COPD, and ischemic heart disease did not. Laboratory features related to severe COVID-19 infection were: leukocytosis (P=.015), thrombocytopenia (P=.001), high levels of C-reactive protein (P=.0001), lactic dehydrogenase (P=.0001), D-dimer (P=.0001) and ferritin (P=.001). With the multivariate analysis, diabetes, high lac-tate dehydrogenase, C-reactive protein and thrombocytopenia were associated with severity of illness.

CONCLUSIONS

Particular demographic and clinical parameters may predict severe illness and need for ICU care.

LIMITATIONS

Single referral center, several cases of severe COVID-19 could not be included due to lack of consent and or data.

CONFLICT OF INTEREST

None.

Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram

This study introduces a novel method for detecting the post-COVID state using ECG data. By leveraging a convolutional neural network, we identify "cardiospikes" present in the ECG data of individuals who have experienced a COVID-19 infection. With a test sample, we achieve an 87 percent accuracy in detecting these cardiospikes. Importantly, our research demonstrates that these observed cardiospikes are not artifacts of hardware-software signal distortions, but rather possess an inherent nature, indicating their potential as markers for COVID-specific modes of heart rhythm regulation. Additionally, we conduct blood parameter measurements on recovered COVID-19 patients and construct corresponding profiles. These findings contribute to the field of remote screening using mobile devices and heart rate telemetry for diagnosing and monitoring COVID-19.

Prognostic Role of Clinical Features of Moderate Forms of COVID-19 Requiring Hospitalization

INTRODUCTION

We aimed to characterize the clinical features of moderate forms of COVID-19 requiring hospitalization and potentially identify predictors for unfavorable outcomes.

METHODS

Pooled anonymized clinical data from 452 COVID-19 patients hospitalized in two regional Romanian respiratory disease centers during the Alpha and Delta variant outbreaks were included in the analysis.

RESULTS

Cough and shortness of breath were the most common clinical features; older patients exhibited more fatigue and dyspnea and fewer upper airway-related symptoms such as smell loss or sore throat. The presence of confusion, shortness of breath and age over 60 years were significantly associated with worse outcomes (odds ratios 5.73, 2.08 and 3.29, respectively).

CONCLUSION

The clinical picture on admission may have a prognostic role for moderate forms of COVID-19. Clear clinical definitions and developing adequate informational infrastructure allowing complex data sharing and analysis might be useful for fast research response should a similar outbreak occur in the future.

[Validation of a symptom scale for COVID-19 patients in ambulatory care]

Background

A symptom scale can be useful for the standardization of clinical evaluations and follow-up of COVID-19 patients in ambultaroy care. Scale development should be accompanied by an assessment of its reliablility and validity.

Objective

To develop and measure the psychometric characteristics of a COVID-19 symptom scale to be answered by either healthcare personnel or adult patients in ambulatory care.

Material and methods

The scale was developed by an expert panel using the Delphi method. We evaluated inter-rater reliability, where we defined a good correlation if Spearman's Rho was ≥ 0.8; test-retest, where we defined a good correlation if Spearman's Rho was ≥ 0.7; factor analysis using principal component methodology; and discriminant validity using Mann-Whitney's U test. A p < 0.05 was considered statistically significant.

Results

We obtained an 8 symptom scale, each symptom is scored from 0-4, with a total minimum score of 0 and a maximum of 32 points. Inter-rater reliability was 0.995 (n = 31), test-retest showed correlation of 0.88 (n = 22), factor analysis detected 4 factors (n = 40) and discriminant capacity of healthy versus sick adults was significant (p < 0.0001, n = 60).

Conclusions

We obtained a reliable and valid Spanish (from Mexico) symptom scale for COVID-19 ambulatory care, answerable by patients and health care staff.

Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study

The Covid-19 pandemic has pushed the Intensive Care Units (ICUs) into significant operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the wide variety of patient profiles, and the imbalances within health supply chains still represent a challenge for policymakers. This paper aims to use Artificial Intelligence (AI) and Discrete-Event Simulation (DES) to support ICU bed capacity management during Covid-19. The proposed approach was validated in a Spanish hospital chain where we initially identified the predictors of ICU admission in Covid-19 patients. Second, we applied Random Forest (RF) to predict ICU admission likelihood using patient data collected in the Emergency Department (ED). Finally, we included the RF outcomes in a DES model to assist decision-makers in evaluating new ICU bed configurations responding to the patient transfer expected from downstream services. The results evidenced that the median bed waiting time declined between 32.42 and 48.03 min after intervention.

Risk of Thrombosis during and after a SARS-CoV-2 Infection: Pathogenesis, Diagnostic Approach, and Management

Coronavirus disease 2019 (COVID-19) increases the risk of thromboembolic events, especially in patients with severe infections requiring intensive care and cardiorespiratory support. COVID-19 patients with thromboembolic complications have a higher risk of death, and if they survive, these complications are expected to negatively affect these patients’ quality of life. Moreover, recent data reported that the risk of thromboembolism remains high months after a COVID-19 infection. Therefore, understanding the pathogenesis of thrombosis in the setting of COVID-19 may facilitate the early prevention and treatment of COVID-19-associated thromboembolism to reduce concomitant morbidity, mortality, and disability. This review will first discuss the clinical characteristics of COVID-19 infections, particularly with regard to the underlying pathophysiology. Then, the pathogenesis of COVID-19-associated thrombosis at the molecular and cellular levels will be comprehensively reviewed. Next, the clinical manifestations of venous and arterial thromboembolism in COVID-19 as well as the potential benefits of several laboratory markers of thrombosis will be further discussed. Lastly, the preventive and therapeutic management of thromboembolism during and after COVID-19 will also be explained.

Age, comorbidities, c-reactive protein and procalcitonin as predictors of severity in confirmed COVID-19 patients in the Philippines

Background

The Coronavirus Disease 2019 (COVID-19) pandemic has been affecting people globally, and the Philippines is one of the countries greatly struck by the virus. The continued rise of new positive cases has drawn attention to the urgent need for healthcare management to cope with this challenge. Severity prediction could help improve medical decision-making and optimise the patient's treatment plan with a good clinical outcome. This study aimed to identify the determinants of COVID-19 disease severity.

Methods

Demographic characteristics and laboratory findings were collected from electronic medical records and paper forms of all confirmed COVID-19 cases reported by the University of Perpetual Help DALTA Medical Center between the September 1, 2020 and the October 31, 2021. We performed statistical analyses and interpretation of data to compare severe and non-severe groups.

Results

5,396 confirmed cases were examined. Most of the severe cases were elderly, male, had blood type A, and with comorbidities. Cycle threshold (Ct) values were lower in the severe group. Most patients had higher-than-normal levels of all blood parameters except platelet, white blood cell (WBC), neutrophil, and lymphocyte counts. Age, sex, ABO blood groups, comorbidities, open reading frame 1 ab (ORF1ab) and nucleocapsid (N) gene Ct values, ferritin, C-reactive protein (CRP), procalcitonin (PCT), D-dimer, white blood cell (WBC) count, neutrophil count, and lymphocyte count were significantly associated with disease severity. In multivariate analysis, age groups >60 and 30-59 years, presence of comorbidities, CRP level >5 ng/mL, and PCT >0.05 ng/mL were identified as disease severity predictors.

Conclusions

Based on our results, age, comorbidities, CRP, and PCT level may be utilised as primary assessment factors for possible hospital admission and close monitoring upon testing. Early detection of these risk factors may provide strategic interventions that help reduce mortality, hospital admissions, and more expensive and extensive treatments.

Predictors of Mortality Among Post-COVID-19 Discharged Patients in Northern India: A Case-Control Study

Introduction The post-discharge all-cause mortality of COVID-19 disease is known, but predictors for the same have not been studied as much. The objective of this study was to develop an understanding of predictors of mortality to guide in prioritizing patient care and preventive approaches. Methods This current research is a single-center unmatched case-control study conducted at a tertiary care center in northern India, between April and September 2022. The data were extracted retrospectively from the hospital's electronic medical records of patients with the assistance of trained physicians using a standardized data extraction sheet. Results A total of 184 patients were enrolled and were segregated into two groups, cases and control, with 92 in each. The mean age of patients was 49.3 ± 17.53 years. The mortality group had a higher mean age (53.24 ± 18.53 yrs) as compared to the control group (45.37 ± 15.58 yrs, p=0.002). Bivariate analysis revealed a significant difference in the two groups with respect to O₂ saturation at the time of admission (case - 91.12 ± 12.49 %, control - 95.46 ± 5.01 %, p=0.003); maximum O₂ flow rate (L/min) (case - 11.01 ± 22.2, control - 6.41 ± 13.31, p=0.04); ICU need (p=0.005), cancer (p=0.001), O₂ requirement at discharge (p=0.001) and acute kidney injury (AKI; p=0.007). On multiple regression analysis, cancer (adjusted odds ratio (aOR) - 2.469; 95% CI 1.183-5.150, p=0.016), ICU admission (aOR - 2.446; 95% CI 1.212-4.938, p=0.013), oxygen at discharge (aOR - 2.340; 95% CI 0.971-5.640, p=0.0586) and AKI (aOR - 5.6; 95% CI 2.351- 13.370, p=0.00) only found to be significant. Conclusion Among the patients released from the hospital post-COVID-19 treatment, the following aspects oxygen requirement (2.3 times), malignancy (2.4 times), ICU admission (2.4 times), and AKI (5.6 times) are risk factors of mortality. The presence of these variables would warrant a close follow-up for these patients in order to decrease post-COVID mortality.

Does the variant positivity and negativity affect the clinical course in COVID-19?: A cohort study

The primary aim of the current study is to analyze the clinical, laboratory, and demographic data comparing the patients with Coronavirus Disease 2019 (COVID-19) admitted to our intensive care unit before and after the UK variant was first diagnosed in December 2020. The secondary objective was to describe a treatment approach for COVID-19. Between Mar 12, 2020, and Jun 22, 2021, 159 patients with COVID-19 were allocated into 2 groups: the variant negative group (77 patients before December 2020) and the variant positive group (82 patients after December 2020). The statistical analyses included early and late complications, demographic data, symptoms, comorbidities, intubation and mortality rates, and treatment options. Regarding early complications, unilateral pneumonia was more common in the variant (-) group (P = .019), whereas bilateral pneumonia was more common in the variant (+) group (P < .001). Regarding late complications, only cytomegalovirus pneumonia was observed more frequently in the variant (-) group (P = .023), whereas secondary gram (+) infection, pulmonary fibrosis (P = .048), acute respiratory distress syndrome (ARDS) (P = .017), and septic shock (P = .051) were more common in the variant (+) group. The therapeutic approach showed significant differences in the second group such as plasma exchange and extracorporeal membrane oxygenation which is more commonly used in the variant (+) group. Although mortality and intubation rates did not differ between the groups, severe challenging early and late complications were observed mainly in the variant (+) group, necessitating invasive treatment options. We hope that our data from the pandemic will shed light on this field. Regarding the COVID-19 pandemic, it is clear that there is much to be done to deal with future pandemics.

Nutritional biomarkers as predictors of clinical outcomes between COVID-19 severity groups in a tertiary government hospital

BACKGROUND

Malnutrition, as defined by the World Health Organization (WHO), includes undernutrition. In the Philippines, malnutrition is common due to several factors. The nutritional biomarkers can be used as an alternative indicator of dietary intake and nutritional status that can detect deficiencies in support to clinical management of COVID-19 patients. Apart from that, biomarkers are potentially useful for screening, clinical management, and prevention of serious complications of COVID-19 patients. Serum albumin, c-reactive protein (CRP), leukocyte count, lymphocyte count, blood urea nitrogen (BUN) to compute the nutritional prognostic indices (Prognostic nutritional index (PNI) score, BUN/Albumin ratio (BAR) and CRP/Albumin ratio (CAR).

OBJECTIVES

To compare the nutritional biomarkers of patients with COVID-19 based on case severity and determine the nutritional prognostic indices and associate to patients' clinical outcome during hospital stay.

METHODS

A single center, cross-sectional study was performed between June 2021 to August 2021 in a COVID-19 designated referral center in CALABARZON which comprised of 167 patients as part of the study. Clinicodemographic profile including patients' age, sex, co-morbidities, weight, height, laboratory, and serum biomarkers during the first 48 h of admission (serum albumin, leukocyte count, lymphocytes count, CRP, and BUN) were collated wherein the nutritional prognostic indices were computed and analyzed. Clinical outcomes of the patients were based on the patients' final diagnoses (recovered, length of hospital stay (LOHS), progression of severity and mortality).

RESULTS

167 non-critically ill COVID-19 patients were included in the analysis, of which 52.7% are admitted under the COVID-19 severe group and 47.3% for COVID-19 Mild/Moderate. Mostly are male (53.3%) with an average body mass index (BMI) of 24.26 (SD = 3.52) and have hypertension (55.1%) and diabetes (42.5%). Among the nutritional biomarker, albumin (p = 0.028; p = 0.004), total lymphocyte count (TLC) (p = 0.013; p = 0.005) and BUN (p = 0.001; p=<0.001) were shown to be significantly associated with progression of severity and mortality. Univariate logistic regression analysis showed the following nutritional prognostic score were correlated. (1.) progression of COVID-19 severity: PNI score (OR 0.928, 95% CI 0.886, 0.971, p=<0.001), and BAR value (OR 1.130, 95% CI 1.027, 1.242, p = 0.012); (2.) Mortality: PNI score (OR 0.926, 95% CI 0.878, 0.977, p = 0.005), CAR (OR 1.809, 95% CI 1.243, 2.632, p = 0.002), and BAR (OR 1.180, 95% CI 1.077, 1.292, p=<0.001). The average LOHS of COVID-19 patients was 12 days (SD = 7.72). However, it does not show any significant correlation between any nutritional biomarker, prognostic indices and LOHS.

CONCLUSION

This study demonstrated that deranged level of nutritional biomarkers can affect patient's COVID-19 severity and associated with patient's clinical outcome. Low albumin (≤2.5  g/dL), low level of TLC (≤1500 cells/mm3), elevated BUN (≥7.1 mmol/L) are associated with patient's case severity progression and mortality while low PNI score (<42.49), high BAR value (≥2.8) and CAR value (≥2.04) provided an important nutritional prognostic information and could predict mortality which can be a useful parameter in admission, hence it is recommended to screen all COVID-19 patients to reduce mortality.

Should We Interfere with the Interleukin-6 Receptor During COVID-19: What Do We Know So Far?

Severe manifestations of COVID-19 consist of acute respiratory distress syndrome due to an initially local reaction leading to a systemic inflammatory response that results in hypoxia. Many therapeutic approaches have been attempted to reduce the clinical consequences of an excessive immune response to viral infection. To date, systemic corticosteroid therapy is still the most effective intervention. More recently, new hope has emerged with the use of interleukin (IL)-6 receptor inhibitors (tocilizumab and sarilumab). However, the great heterogeneity of the methodology and results of published studies obfuscate the true value of this treatment, leading to a confusing synthesis in recent meta-analyses, and the persistence of doubts in terms of patient groups and the appropriate time to treat. Moreover, their effects on the anti-infectious or pro-healing response are still poorly studied. This review aims to clarify the potential role of IL-6 receptor inhibitors in the treatment of severe forms of COVID-19.

Factors associated with disease severity of COVID‑19 in patients with type 2 diabetes mellitus

Diabetes mellitus causes a decline in immunological function, an increase in proinflammatory cytokines, and a prothrombotic state, thus providing risk factors for the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM). The aim of the present study was to analyze the risk factors associated with the severity of COVID-19 in patients with T2DM. A cross-sectional observational study was performed on 201 patients with T2DM from May 1 to August 31, 2020 and admitted to the isolation ward of Dr Soetomo General Hospital (Surabaya, Indonesia). The patients were divided into severe (108 cases; 53.7%) and non-severe (93 cases; 46.3%) groups, which were considered the dependent variables. Univariate and multivariate analysis was performed. The independent variables were age, sex, diabetes onset, chronic complications, presence of hypertension, randomized blood glucose, HbA1c, albumin, and neutrophil-lymphocyte ratio (NLR). A P-value <0.05 was considered to be statistically significant. The median age of the 201 subjects was 56 years, with 70.1% <60 years old, 52.7% male, 76.1% with diabetes onset <10 years, and 108 patients (53.7%) in severe condition. The results of the bivariate analysis revealed that diabetes onset >10 years (OR 2.5; P=0.011) was associated with severity of COVID-19 in patients with T2DM, however hypoalbumin (OR 1.93; P=0.054) was not associated with disease severity. Furthermore, multivariate analysis revealed that male sex (OR 2.07; P=0.042), age (≥60 years) (OR 2.92; P=0.008), HbA1c (≥8%) (OR 3.55; P=0.001), hypertension (OR 4.07; P=0.001), and an NLR ≥7.36 (OR 6.39; P=0.001) were associated with severe COVID-19. Collectively, it was revealed that increased NLR, hypertension, poor glycemic control, older age, and male sex were risk factors associated with the severity of COVID-19 among diabetic patients.

Is Homocysteine Associated with the Prognosis of Covid-19 Pneumonia

Background/Aim. Coronavirus disease 2019 (COVID-19) is a life-threatening disease characterized by a prothrombotic state. Because homocysteine (Hcy) is a potential biomarker in thrombotic disease, this article aims to highlight the role of Hcy in the prognosis of COVID-19 pneumonia. Methods. This prospective study was conducted between April 2021 and December 2021 at the University of Health Sciences, Antalya Training and Research Hospital. 162 patients admitted to the emergency department for COVID-19 pneumonia and scheduled for hospitalization in the intensive care unit (ICU) or COVID-19 ward of the chest disease department were included in the study. Hcy levels and other necessary laboratory parameters were analyzed. Results. 134 patients were admitted to the COVID-19 ward and 28 to the ICU. Hcy levels were significantly higher in ICU patients than in ward patients (p : 0.001). Of the 134 patients, 55 later required ICU treatment for various reasons and were transferred to the ICU. Hcy (p : 0.010), ferritin (p : 0.041), and LDH (p : 0.010) were significantly higher in patients who were transferred to the ICU than in patients who remained in the ward. The Hcy level was associated with a poor prognosis. It was found that each unit increase in the Hcy level approximately doubled the risk of death in patients with COVID-19 (odds ratio: 1.753). Discussion. There are few studies examining the association between high Hcy levels and disease severity in COVID-19. Our study supports previous studies and shows the association between the need for intensive care and high Hcy levels. Conclusion. A high Hcy value is a helpful marker in determining the need for critical care on admission to the emergency department and a marker of poor prognosis in COVID-19 pneumonia.

COVID19 biomarkers: What did we learn from systematic reviews?

The coronavirus disease 2019 (COVID19) pandemic continues to represent a substantial public health concern. It can rapidly progress to severe disease, with poor prognosis and a high mortality risk. An early diagnosis and specific prognostic tools can help healthcare providers to start interventions promptly, understand the likely prognosis and to identify and treat timely individuals likely to develop severe disease with enhanced mortality risk. Here we focused on an impressive set of systematic reviews and meta-analyses that were performed since the start of the COVID19 pandemic and summarized their results related to the levels of hematologic, inflammatory, immunologic biomarkers as well as markers of cardiac, respiratory, hepatic, gastrointestinal and renal systems and their association with the disease progression, severity and mortality. The evidence outlines the significance of specific biomarkers, including inflammatory and immunological parameters (C-reactive protein, procalcitonin, interleukin-6), hematological (lymphocytes count, neutrophil-to-lymphocyte ratio, D-dimer, ferritin, red blood cell distribution width), cardiac (troponin, CK-MB, myoglobin), liver (AST, ALT, total bilirubin, albumin) and lung injury (Krebs von den Lungen-6) that can be used as prognostic biomarkers to aid the identification of high-risk patients and the prediction of serious outcomes, including mortality, in COVID19. Thus, these parameters should be used as essential tools for an early risk stratification and adequate intervention in improving disease outcomes in COVID19 patients.

Cardiac Injury in COVID-19: A Systematic Review of Relevant Meta-Analyses

Background

Cardiac injury (CI) is not a rare condition among hospitalized patients with coronavirus disease 2019 (COVID-19). Its prognostic value has been extensively reported through the literature, mainly in the context of observational studies. An impressive number of relevant meta-analyses has been conducted. These meta-analyses present similar and consistent results; yet interesting methodological issues emerge.

Methods

A systematic literature search was conducted aiming to identify all relevant meta-analyses on (i) the incidence, and (ii) the prognostic value of CI among hospitalized patients with COVID-19.

Results

Among 118 articles initially retrieved, 73 fulfilled the inclusion criteria and were included in the systematic review. Various criteria were used for CI definition mainly based on elevated cardiac biomarkers levels. The most frequently used biomarker was troponin. 30 meta-analyses reported the pooled incidence of CI in hospitalized patients with COVID-19 that varies from 5% to 37%. 32 meta-analyses reported on the association of CI with COVID-19 infection severity, with only 6 of them failing to show a statistically significant association. Finally, 46 meta-analyses investigated the association of CI with mortality and showed that patients with COVID-19 with CI had increased risk for worse prognosis. Four meta-analyses reported pooled adjusted hazard ratios for death in patients with COVID-19 and CI vs those without CI ranging from 1.5 to 3.

Conclusions

The impact of CI on the prognosis of hospitalized patients with COVID-19 has gained great interest during the pandemic. Methodological issues such as the inclusion of not peer-reviewed studies, the inclusion of potentially overlapping populations or the inclusion of studies with unadjusted analyses for confounders should be taken into consideration. Despite these limitations, the adverse prognosis of patients with COVID-19 and CI has been consistently demonstrated.

Prospects of using the nucleoside analogue riamilovir in patients with SARS-CoV-2 infection

Aim. To evaluate clinical efficacy of nucleoside analogues in therapy of moderate COVID-19 in in-patients. Materials and methods. Retrospective processing of 108 completed clinical cases with moderate novel coronavirus disease was carried out for the period 20202021. The duration of the disease at the time of admission did not exceed three days. Experimental group consisted of 53 patients who, in addition to standard therapy, were prescribed off-label riamilovir at a daily dosage of 1250 mg for 5 days by the decision of the medical commission. Comparison group included 55 patients who received a combination of umifenovir and ribavirin as antiviral therapy for 5 days. The duration of the main clinical manifestations of the disease, the indicators of clinical and biochemical blood tests, results of the SARS-CoV-2 virus RNA study using the nucleic acid amplification method (NAAT diagnostics). Results. Significantly faster achievement of clinical improvement in the group of patients treated with riamilovir was shown, as well as faster sanitation from SARS-CoV-2 virus based on the results of etiological testing. Conclusion. The use of riamilovir for the treatment of patients with moderate novel coronavirus infection (COVID-19) resulted in a significant reduction of general infectious syndromes and respiratory symptoms. Patients from the experimental group significantly faster achieved clinical recovery and sanitation from the pathogen according to the results of NAAT diagnostics.

Early predictors of clinical deterioration in a cohort of outpatients with COVID-19 in southern Italy: A multicenter observational study

Data regarding early predictors of clinical deterioration in patients with infection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is still scarce. The aim of the study is to identify early symptoms or signs that may be associated with severe coronavirus disease 2019 (COVID-19). We conducted a multicentre prospective cohort study on a cohort of patients with COVID-19 in home isolation from March 2020 to April 2021. We assessed longitudinal clinical data (fever, dyspnea, need for hospitalization) through video calls at three specific time points: the beginning of symptoms or the day of the first positivity of the nasopharyngeal swab for SARS-CoV-2-RNA (t0 ), and 3 (t3 ) and 7 (t7 ) days after the onset of symptoms. We included 329 patients with COVID-19: 182 (55.3%) males, mean age 53.4 ± 17.4 years, median Charlson comorbidity index (CCI) of 1 (0-3). Of the 329 patients enrolled, 171 (51.98%) had a mild, 81 (24.6%) a moderate, and 77 (23.4%) a severe illness; 151 (45.9%) were hospitalized. Compared to patients with mild COVID-19, moderate and severe patients were older (p < 0.001) and had more comorbidities, especially hypertension (p < 0.001) and cardiovascular diseases (p = 0.01). At t3 and t7 , we found a significant higher rate of persisting fever (≥37°C) among patients with moderate (91.4% and 58.0% at t3 and t7 , respectively; p < 0.001) and severe outcome (75.3% and 63.6%, respectively; p < 0.001) compared to mild COVID-19 outcome (27.5% and 11.7%, respectively; p < 0.001). Factors independently associated with a more severe outcome were persisting fever at t3 and t7 , increasing age, and CCI above 2 points. Persisting fever at t3 and t7 seems to be related to a more severe COVID-19. This data may be useful to assess hospitalization criteria and optimize the use of resources in the outpatient setting.

Global Prevalence and Potential Influencing Factors of COVID-19 Vaccination Hesitancy: A Meta-Analysis

Countries worldwide have deployed mass COVID-19 vaccination drives, but there are people who are hesitant to receive the vaccine. Studies assessing the factors associated with COVID-19 vaccination hesitancy are inconclusive. This study aimed to assess the global prevalence of COVID-19 vaccination hesitancy and determine the potential factors associated with such hesitancy. We performed an organized search for relevant articles in PubMed, Scopus, and Web of Science. Extraction of the required information was performed for each study. A single-arm meta-analysis was performed to determine the global prevalence of COVID-19 vaccination hesitancy; the potential factors related to vaccine hesitancy were analyzed using a Z-test. A total of 56 articles were included in our analysis. We found that the global prevalence of COVID-19 vaccination hesitancy was 25%. Being a woman, being a 50-year-old or younger, being single, being unemployed, living in a household with five or more individuals, having an educational attainment lower than an undergraduate degree, having a non-healthcare-related job and considering COVID-19 vaccines to be unsafe were associated with a higher risk of vaccination hesitancy. In contrast, living with children at home, maintaining physical distancing norms, having ever tested for COVID-19, and having a history of influenza vaccination in the past few years were associated with a lower risk of hesitancy to COVID-19 vaccination. Our study provides valuable information on COVID-19 vaccination hesitancy, and we recommend special interventions in the sub-populations with increased risk to reduce COVID-19 vaccine hesitancy.

When Outcomes Diverge: Age and Cardiovascular Risk as Determinants of Mortality and ICU Admission in COVID-19

Background: Hospital mortality and admission to the Intensive Care Unit (ICU) are markers of disease severity in COVID-19 patients. Cardiovascular co-morbidities are one of the main determinants of negative outcomes. In this study we investigated the impact of cardiovascular co-morbidities on mortality and admission to the ICU in first-wave COVID-19 patients. Methods: A multicenter, retrospective, cohort study. A total of 1077 patients were analyzed for mortality and ICU admission. Cardiovascular risk factors were explored as determinants of the outcomes after correction for other confounders. Results: In the multivariable model, after correction for age, only a history of heart failure remained independently associated (p = 0.0013) with mortality (hazard ratio 2.22, 95% confidence interval 1.37 to 3.62). Age showed a mortality risk increase of 8% per year (hazard ratio 1.08, 95% confidence interval 1.05 to 1.10, p = 0.001). The transition from ward to the ICU had, as a single determinant, the age, but in a reversed fashion (hazard ratio 0.96, 95% confidence interval 0.94 to 0.98, p = 0.0002). Conclusions: Once adjusted for the main determinant of mortality (age) heart failure only remained independently associated with mortality. Admission to the ICU was less likely for elderly patients. This may reflect the catastrophic impact of the first wave of COVID-19 pandemic in terms of ICU bed availability in Lombardy, leading to a selection process for ICU admission.

The impact of COVID 19 on the outcomes of thrombectomy in stroke patients: A systematic review and meta-analysis

We aimed to conduct the current meta-analysis to provide better insight into the efficacy of mechanical thrombectomy (MT) in managing COVID-19 patients suffering from a stroke. An electronic search was conducted through eight databases for collecting the current evidence about the efficacy of MT in stroke patients with COVID-19 until 18 December 2021. The results were reported as the pooled prevalence rates and the odds ratios (ORs), with their corresponding 95% confidence intervals (CI). Out of 648 records, we included nine studies. The prevalence of stroke patients with COVID-19 who received MT treatment was with TICI ≥2b 79% (95%CI: 73-85), symptomatic intracranial haemorrhage 6% (95%CI: 3-11), parenchymal haematoma type 1, 11.1% (95%CI: 5-23), and mortality 29% (95%CI: 24-35). On further comparison of MT procedure between stroke patients with COVID 19 to those without COVID-19, we found no significant difference in terms of TICI ≥2b score (OR: 0.85; 95%CI: 0.03-23; p = 0.9). However, we found that stroke patients with COVID-19 had a significantly higher mortality rate than stroke patients without COVID-19 after MT procedure (OR: 2.99; 95%CI: 2.01-4.45; p < 0.001). Stroke patients with COVID-19 can be safely and effectively treated with MT, with comparable reperfusion and complication rates to those without the disease.

Characteristics of COVID-19 Inpatients in Rehabilitation Units during the First Pandemic Wave: A Cohort Study from a Large Hospital in Champagne Region

Background: Data describing patients hospitalized in medical rehabilitation wards after the acute phase of COVID-19 could help to better understand the rehabilitation needs in the current pandemic situation. Methods: Cohort including all patients with COVID-19 hospitalized in a single, large university hospital in Northeast France from 25 February to 30 April 2020. Results: 479 patients were admitted with COVID-19 during the study period, of whom 128 died (26.7%). Among the 351 survivors, 111 were referred to rehabilitation units, including 63 (17.9%) referred to physical and rehabilitation medicine (PRM) units. The median age of patients referred to rehabilitation units was 72 years. Patients who had been in intensive care, or who had had a long hospital stay, required referral to PRM units. Two biomarkers were associated with referral to rehabilitation units, namely, elevated troponin (p = 0.03) and impaired renal function (p = 0.03). Age was associated with referral to PRM units (p = 0.001). Conclusions: Almost one-third of COVID-19 patients required post-acute care, but only one-fifth had access to PRM units. The optimal strategy for post-acute management of COVID-19 patients remains to be determined. The need for rehabilitation wards during a pandemic is a primary concern in enabling the long-term functioning of infected patients.

Assessment of COVID-19 prevention and protection measures in hospitals

This paper aims to develop an assessment framework for the Covid-19 prevention and protection measures in hospitals. The conceptual model is developed by using fifty-four attributes, fifteen criteria, and three enablers. The multi-grade fuzzy approach is used to develop the assessment framework, and Importance Performance Analysis (IPA) identifies the weaker attributes in the case organization. The case hospital's preventive and safety measures assessment level is 8.05, which is 'very highly focused on protection measures,' and fourteen weaker attributes were identified. The case hospital management should focus on the guidelines of Covid-19 preventive and protection measures, strict protocols, regular audits, education and training of the staff, and active surveillance. Case hospital managers should also focus on staffing and timings, the formulation of policies, and abiding by those policies without any fail. This proposed assessment model is a new initiative in-hospital assessment in preventive and safety measures in the healthcare sector during the Covid-19 era. This framework will enable hospital managers as a continuous assessment tool to improve their Covid-19 prevention operations.

Analysis of Risk Factors for In-Hospital Death Due to COVID-19 in Patients Hospitalised at the Temporary Hospital Located at the National Stadium in Warsaw: A Retrospective Analysis

The outbreak of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pandemic has affected all aspects of social life and brought massive changes to the healthcare sector. The aim of this study was to identify the factors affecting the mortality of COVID-19 patients at a temporary hospital in Warsaw (Poland). The present study was conducted based on a retrospective analysis of the medical records of patients hospitalised at the temporary hospital located at the National Stadium in Warsaw between 1 March 2020 and 30 April 2021. The study included all cases of patients who were brought directly or transferred to the National Hospital from other hospitals for further treatment. With regard to comorbidities, the analysis found that five comorbidities—namely, diabetes (OR = 1.750, 95% CI: 1.009−2.444, p < 0.05), stroke history (OR = 2.408, 95% CI: 1.208−4.801, p < 0.05), renal failure (OR = 2.141, 95% CI: 1.052−4.356, p < 0.05), chronic obstructive pulmonary disease (OR = 2.044, 95% CI: 1.133−3.690, p < 0.05) and heart failure (OR = 1.930, 95% CI: 1.154−3.227, p < 0.05)—had a significant impact on the survival of COVID-19 patients. The analysis identified 14 factors that had a significant impact on the prognosis and mortality of the COVID-19 patients studied.

Impact of Early Corticosteroids on Preventing Clinical Deterioration in Non-critically Ill Patients Hospitalized with COVID-19: A Multi-hospital Cohort Study

INTRODUCTION

While guidelines stronglyrecommend dexamethasone in critical COVID-19, the optimal threshold to initiate corticosteroids in non-critically ill patients with COVID-19 remains unclear. Using data from a state-wide COVID-19 registry, we evaluated the effectiveness of early corticosteroids for preventing clinical deterioration among non-critically ill patients hospitalized for COVID-19 and receiving non-invasive oxygen therapy.

METHODS

This was a target trial using observational data from patients hospitalized for COVID-19 at 39 hospitals participating in the MI-COVID19 registry between March 16, 2020 and August 24, 2020. We studied the impact of corticosteroids initiated within 2 calendar days of hospitalization ("early steroids") versus no early steroids among non-ICU patients with laboratory-confirmed SARS-CoV2 receiving non-invasive supplemental oxygen therapy. Our primary outcome was a composite of in-hospital mortality, transfer to intensive care, and receipt of invasive mechanical ventilation. We used inverse probability of treatment weighting (IPTW) and propensity score-weighted regression to measure the association of early steroids and outcomes.

RESULTS

Among 1002 patients meeting study criteria, 231 (23.1%) received early steroids. After IPTW, to balance potential confounders between the treatment groups, early steroids were not associated with a decrease in the composite outcome (aOR 1.1, 95%CI 0.8-1.6) or in any components of the primary outcome.

CONCLUSION

We found no evidence that early corticosteroid therapy prevents clinical deterioration among hospitalized non-critically ill COVID-19 patients receiving non-invasive oxygen therapy. Further studies are needed to determine the optimal threshold for initiating corticosteroids in this population.

Predictors of mortality among hospitalized COVID-19 patients and risk score formulation for prioritizing tertiary care-An experience from South India

Background

We retrospectively data-mined the case records of Reverse Transcription Polymerase Chain Reaction (RT-PCR) confirmed COVID-19 patients hospitalized to a tertiary care centre to derive mortality predictors and formulate a risk score, for prioritizing admission.

Methods and findings

Data on clinical manifestations, comorbidities, vital signs, and basic lab investigations collected as part of routine medical management at admission to a COVID-19 tertiary care centre in Chengalpattu, South India between May and November 2020 were retrospectively analysed to ascertain predictors of mortality in the univariate analysis using their relative difference in distribution among ‘survivors’ and ‘non-survivors’. The regression coefficients of those factors remaining significant in the multivariable logistic regression were utilised for risk score formulation and validated in 1000 bootstrap datasets.

Among 746 COVID-19 patients hospitalised [487 “survivors” and 259 “non-survivors” (deaths)], there was a slight male predilection [62.5%, (466/746)], with a higher mortality rate observed among 40–70 years age group [59.1%, (441/746)] and highest among diabetic patients with elevated urea levels [65.4% (68/104)]. The adjusted odds ratios of factors [OR (95% CI)] significant in the multivariable logistic regression were SaO₂<95%; 2.96 (1.71–5.18), Urea ≥50 mg/dl: 4.51 (2.59–7.97), Neutrophil-lymphocytic ratio (NLR) >3; 3.01 (1.61–5.83), Age ≥50 years;2.52 (1.45–4.43), Pulse Rate ≥100/min: 2.02 (1.19–3.47) and coexisting Diabetes Mellitus; 1.73 (1.02–2.95) with hypertension and gender not retaining their significance. The individual risk scores for SaO₂<95–11, Urea ≥50 mg/dl-15, NLR >3–11, Age ≥50 years-9, Pulse Rate ≥100/min-7 and coexisting diabetes mellitus-6, acronymed collectively as ‘OUR-ARDs score’ showed that the sum of scores ≥ 25 predicted mortality with a sensitivity-90%, specificity-64% and AUC of 0.85.

Conclusions

The ‘OUR ARDs’ risk score, derived from easily assessable factors predicting mortality, offered a tangible solution for prioritizing admission to COVID-19 tertiary care centre, that enhanced patient care but without unduly straining the health system.

European Respiratory Society Statement on Long COVID-19 Follow-Up

Patients diagnosed with coronavirus disease 2019 (COVID-19) associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection frequently experience symptom burden post-acute infection or post-hospitalisation. We aimed to identify optimal strategies for follow-up care that may positively impact the patient's quality of life (QoL). A European Respiratory Society (ERS) Task Force convened and prioritised eight clinical questions. A targeted search of the literature defined the timeline of “long COVID” as 1–6 months post-infection and identified clinical evidence in the follow-up of patients. Studies meeting the inclusion criteria report an association of characteristics of acute infection with persistent symptoms, thromboembolic events in the follow-up period, and evaluations of pulmonary physiology and imaging. Importantly, this statement reviews QoL consequences, symptom burden, disability and home care follow-up. Overall, the evidence for follow-up care for patients with long COVID is limited.

Follow-up care of patients infected with SARS-CoV-2 is crucial and may improve their quality of life. More evidence and research is emerging to understand the causes, mechanisms and risks of long COVID consequences.https://bit.ly/3J1WMWy

COVID-19 and chronic kidney disease: an updated overview of reviews

BACKGROUND

Coronavirus disease (COVID-19) has resulted in the death of more than 3.5 million people worldwide. While COVID-19 mostly affects the lungs, different comorbidities can have an impact on its outcomes. We performed an overview of reviews to assess the effect of Chronic Kidney Disease (CKD) on contracting COVID-19, hospitalization, mortality, and disease severity.

METHODS

We searched published and preprint databases. We updated the reviews by searching for primary studies published after August 2020, and prioritized reviews that are most updated and of higher quality using the AMSTAR tool.

RESULTS

We included 69 systematic reviews and 66 primary studies. Twenty-eight reviews reported on the prevalence of CKD among patients with COVID-19, which ranged from 0.4 to 49.0%. One systematic review showed an increased risk of hospitalization in patients with CKD and COVID-19 (RR = 1.63, 95% CI 1.03-2.58) (Moderate certainty). Primary studies also showed a statistically significant increase of hospitalization in such patients. Thirty-seven systematic reviews assessed mortality risk in patients with CKD and COVID-19. The pooled estimates from primary studies for mortality in patients with CKD and COVID-19 showed a HR of 1.48 (95% CI 1.33-1.65) (Moderate certainty), an OR of 1.77 (95% CI 1.54-2.02) (Moderate certainty) and a RR of 1.6 (95% CI 0.88-2.92) (Low certainty).

CONCLUSIONS

Our review highlights the impact of CKD on the poor outcomes of COVID-19, underscoring the importance of identifying strategies to prevent COVID-19 infection among patients with CKD.

Clinical Severity on Hospital Admission for COVID-19: An Analysis of Social Determinants of Health From an Early Hot Spot in the Southeastern U.S

INTRODUCTION

Disparities in COVID-19 infection, illness severity, hospitalization, and death are often attributed to age and comorbidities, which fails to recognize the contribution of social, environmental, and financial factors on health. The purpose of this study was to examine relationships between social determinants of health (SDOH) and COVID-19 severity.

METHODS

This multicenter retrospective study included adult patients hospitalized with COVID-19 in Southwest Georgia, U.S. The primary outcome was the severity of illness among patients on hospital admission for COVID-19. To characterize the effect of biological and genetic factors combined with SDOH on COVID-19, we used a multilevel analysis to examine patient-level and ZIP code-level data to determine the risk of COVID-19 illness severity at admission.

RESULTS

Of 392 patients included, 65% presented with moderate or severe COVID-19 compared to 35% with critical disease. Compared to moderate or severe COVID-19, increasing levels of Charlson Comorbidity Index (OR 1.15, 95% CI 1.07-1.24), tobacco use (OR 1.85, 95% CI 1.10-3.11), and unemployment or retired versus employed (OR 1.91, 95% CI 1.04-3.50 and OR 2.17, 95% CI 1.17-4.02, respectively) were associated with increased odds of critical COVID-19 in bivariate models. In the multi-level model, ZIP codes with a higher percentage of Black or African American residents (OR 0.94, 95% CI 0.91-0.97) were associated with decreased odds of critical COVID-19.

CONCLUSION

Differences in SDOH did not lead to significantly higher odds of presenting with severe COVID-19 when accounting for patient-level and ZIP code-level variables.

Utility of Walk Tests in the Progression of Mild COVID-19 Infection at a Tertiary Hospital in North India

INTRODUCTION

There have been 214 million confirmed cases of COVID-19 worldwide, with a total death tally of 4.4 million. The current study aims to determine the predictive value of various scores in the assessment of progression of mild COVID-19 infection at a tertiary care hospital in North India.

METHODS

The study population consisted of adults (age more than 18 years) with a confirmed diagnosis of COVID-19 by RT-PCR on nasopharyngeal specimens. Patients with only mild illness were enrolled. After the patients were admitted to the isolation ward, the presenting history, comorbidity status, vital signs and laboratory parameters were recorded. The 3 and 6 minutes walk test was performed daily from admission till discharge or progression of the severity of COVID- 19, and it was used to calculate Borg Dyspnoea Score (BDS) and National Early Warning Score (NEWS2) scores.

RESULTS

Our study consisted of 50 patients with 34 (68%) males, and the mean (SD) age of the patient population was 28.1 (6.4) years. The most common symptoms were fever, sore throat, and cough. All laboratory parameters were within normal ranges for all the patients. 96% recovered without progression, while only 4% of them progressed to moderate illness. Results of the 3 and 6 minutes walk tests, BDS and NEWS2 scores showed improvement over the course of the hospital stay.

CONCLUSION

Although the walk tests and the scores improved over time, they failed to predict the disease progression.

Free triiodothyronine levels and age influences the metabolic profile and COVID-19 severity parameters in euthyroid and levothyroxine-treated patients

Metabolic reprogramming is required to fight infections and thyroid hormones are key regulators of metabolism. We have analyzed in hospitalized COVID-19 patients: 40 euthyroid and 39 levothyroxine (LT4)-treated patients in the ward and 29 euthyroid and 9 LT4-treated patients in the intensive care unit (ICU), the baseline characteristics, laboratory data, thyroid-stimulating hormone (TSH), free thyroxine (FT4), free triiodothyronine (FT3), the FT3/FT4 ratio, 11 antiviral cytokines and 74 metabolomic parameters. No evidence for significant differences between euthyroid and LT4-treated patients were found in the biochemical, metabolomic and cytokines parameters analyzed. Only TSH (p=0.009) and ferritin (p=0.031) showed significant differences between euthyroid and LT4-treated patients in the ward, and TSH (p=0.044) and FT4 (p=0.012) in the ICU. Accordingly, severity and mortality were similar in euthyroid and LT4-treated patients. On the other hand, FT3 was negatively related to age (p=0.012), independently of sex and body mass index in hospitalized COVID-19 patients. Patients with low FT3 and older age showed a worse prognosis and higher levels of the COVID-19 severity markers IL-6 and IL-10 than patients with high FT3. IL-6 negatively correlated with FT3 (p=0.023) independently of age, body mass index and sex, whereas IL-10 positively associated with age (p=0.035) independently of FT3, body mass index and sex. A metabolomic cluster of 6 parameters defined low FT3 ward patients. Two parameters, esterified cholesterol (p=4.1x10^-4) and small HDL particles (p=6.0x10^-5) correlated with FT3 independently of age, body mass index and sex, whereas 3-hydroxybutyrate (p=0.010), acetone (p=0.076), creatinine (p=0.017) and high-density-lipoprotein (HDL) diameter (p=8.3x10^-3) were associated to FT3 and also to age, with p-values of 0.030, 0.026, 0.017 and 8.3x10^-3, respectively. In conclusion, no significant differences in FT3, cytokines, and metabolomic profile, or in severity and outcome of COVID-19, were found during hospitalization between euthyroid patients and hypothyroid patients treated with LT4. In addition, FT3 and age negatively correlate in COVID-19 patients and parameters that predict poor prognosis were associated with low FT3, and/or with age. A metabolomic cluster indicative of a high ketogenic profile defines non-critical hospitalized patients with low FT3 levels.

Association of serum interleukin-6 and C-reactive protein with depressive and adjustment disorders in COVID-19 inpatients

Background

Immune mechanisms are part of the pathophysiology of mental disorders, although their role remains controversial. In depressive disorders a chronic low-grade inflammatory process is observed, with higher interleukin-6 (IL-6) values. Furthermore, in SARS-CoV2 infection, which is closely related to depressive disorders, there is a proinflammatory cascade of cytokines that causes systemic inflammation.

Methods

The present study evaluates the relationship between IL-6 and C-reactive protein (CRP) serum levels and the presence of depressive and adjustment disorders in a sample of 1851 patients admitted to hospital for SARS-CoV2 infection from March to November 2020. Concentrations of IL-6 and CRP were determined within the first 72 ​h at admission and compared among groups of patients according to previous history and current presence of depression or adjustment disorders.

Results

IL-6 serum levels were significantly higher in the group of patients with depression and adjustment disorders compared to patients without such disorders (114.25 ​pg/mL (SD, 225.44) vs. 86.41 (SD, 202.97)), even after adjusting for several confounders. Similar results were obtained for CRP (103.94 ​mg/L (SD, 91.16) vs. 90.14 (SD, 85.73)). The absolute levels of IL-6 and CRP were higher than those of previous depression studies, and differences were only found for the subgroup of De Novo depressive or adjustment disorders.

Conclusions

Serum concentrations of IL-6 and CRP are higher in COVID-19 patients with De Novo but not persistent depressive or adjustment disorders. Clinical features such as fatigue, asthenia, anhedonia, or anxiety can be the basis for this finding.

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Inflammation markers are higher in COVID inpatients with affective symptoms and no previous psychiatric history.

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Sickness behavior overlaps with stress-related disorders symptomatology.

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Cytokine levels equalize in non-depressed and chronically depressed COVID inpatients.

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COVID inpatients with affective symptoms may show a worse prognosis.