Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients

Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study

Severe COVID-19 can lead to extensive lung disease causing lung architectural distortion. In this study we employed machine learning and statistical atlas-based approaches to explore possible changes in lung shape among COVID-19 patients and evaluated whether the extent of these changes was associated with COVID-19 severity. On a large multi-institutional dataset (N = 3443), three different populations were defined; a) healthy (no COVID-19), b) mild COVID-19 (no ventilator required), c) severe COVID-19 (ventilator required), and the presence of lung shape differences between them were explored using baseline chest CT. Significant lung shape differences were observed along mediastinal surfaces of the lungs across all severity of COVID-19 disease. Additionally, differences were seen on basal surfaces of the lung when compared between healthy and severe COVID-19 patients. Finally, an AI model (a 3D residual convolutional network) characterizing these shape differences coupled with lung infiltrates (ground-glass opacities and consolidation regions) was found to be associated with COVID-19 severity.

Association of vitamin B12, folate, and homocysteine with COVID-19 severity and mortality: A systematic review and meta-analysis

Objective

We aimed to review the available evidence on the association between vitamin B12, folate, and homocysteine levels with worse outcomes among COVID-19 patients.

Methods

The search was carried out in ten databases simultaneously run on 10 May 2023, without language restrictions. We included cross-sectional, case-control, and cohort studies. The random-effects meta-analysis was performed using the Sidik-Jonkman method and corrected 95% confidence intervals using the truncated Knapp-Hartung standard errors. Standardized mean difference and 95% CI was used as the measure effect size.

Results

Thirteen articles were included in this review (n = 2134). Patients with COVID-19 who did not survive had the highest serum vitamin B12 values (SMD: 1.05; 95% CI: 0.31-1.78; p = 0.01, I2 = 91.22%). In contrast, low serum folate values were associated with patients with severe COVID-19 (SMD: -0.77; 95% CI: -1.35 to -0.19; p = 0.02, I2 = 59.09%). The remaining tested differences did not yield significant results.

Conclusion

Elevated serum levels of vitamin B12 were associated with higher mortality in patients with COVID-19. Severe cases of COVID-19 were associated with low serum folate levels. Future studies should incorporate a larger sample size.

Thrombophilia genetic mutations and their relation to disease severity among patients with COVID-19

OBJECTIVES

Patients with COVID-19 infection appear to develop virus-induced hypercoagulability resulting in numerous thrombotic events. The aim of the present study was to determine the relationship between the thrombophilia genes mutations (prothrombin G20210A, factor V Leiden, and methyltetrahydrofolate reductase (MTHFR)) and the severity of COVID-19 patients.

DESIGN

Prospective cross-sectional study.

METHOD

One hundred and forty patients (80 adults and 60 children) were included in the current study. They were divided into the severe COVID-19 group and the mild COVID-19 group, with each group comprising 40 adults and 30 children. The patients were assessed for FV R506Q, FV R2H1299R, MTHFR A1298C, MTHFR C677T, and prothrombin gene G20210A polymorphisms. CBC, D-dimer, renal and liver function tests, hs-CRP, ferritin, and LDH were also assessed. Thrombotic events were clinically and radiologically documented.

RESULTS

Severe COVID-19 cases were significantly more frequent to have a heterozygous mutation for all the studied genes compared to mild COVID-19 cases (p<0.05 for all). Being mutant to gene FV R506Q carried the highest risk of developing a severe disease course (p<0.0001). Patients with abnormally high D-dimer levels were significantly more frequent to be heterozygous for FV R506Q, FV R2H1299R, and prothrombin gene G20210A (p = 0.006, 0.007, and 0.02, respectively).

CONCLUSION

We concluded that there is an evident relationship between severe COVID-19 and inherited thrombophilia. In the current study, FV R506Q gene mutation carried the highest risk of developing a severe COVID-19 disease course.

Investigation of homocysteine, D-dimer and platelet count levels as potential predictors of thrombosis risk in COVID-19 patients

Thrombosis plays an important role in induction of Coronavirus disease 19 (COVID-19) complications including heart attack and stroke. Reliable biomarkers are needed to predict thrombosis risk for better management and improve patient outcomes. This study aimed to investigate the relationship between homocysteine, a thrombosis-related biomarker, and other thrombosis-related parameters, such as D-dimer and platelet count with disease outcome in COVID-19 patients. This case-control study including 50 intensive care unit hospitalized patients with Covid-19 with a positive RT-PCR test for SARS-CoV-2 infection and 50 healthy individuals as a control group was conducted. Both groups were matched for age and body mass index (BMI) and had no history of underlying diseases such as cardiovascular, liver, kidney or smoking. Blood samples were collected from both groups to measure serum homocysteine, platelet count and D-dimer levels. Data were analyzed using GraphPad Prism version 8.3 software. The study found no statistically significant difference in homocysteine levels between COVID-19 patients and the control group. However, D-dimer levels were significantly higher in the patient group. Platelet count analysis revealed a significant difference between patients who died and those who were discharged from the hospital (P < 0.05). Despite previous studies suggesting a link between homocysteine and thrombosis, this study found no significant difference in homocysteine levels between COVID-19 patients and the control group. The significantly elevated D-dimer levels in the death group patient suggest that D-dimer and thrombocytopenia may be more reliable predictors of thrombosis and worse outcome in COVID-19 patients without underlying diseases.

Risk Factor Analysis and Nomogram for Early Progression of COVID-19 Pneumonia in Older Adult Patients in the Omicron Era

Background and Objective

Timely recognition of risk factors for early progression in older adult patients with COVID-19 is of great significance to the following clinical management. This study aims to analyze the risk factors and create a nomogram for early progression in older adult patients with COVID-19 in the Omicron era.

Methods

A total of 272 older adults infected with COVID-19 admitted from December 2022 to February 2023 were retrospectively recruited. Risk factor selection was determined using the logistic and the least absolute shrinkage and selection operator (LASSO) regression. A nomogram was then created to predict early progression, followed by the internal validation and assessment of its performance through plotting the receiver operating characteristic (ROC), calibration, and decision curves.

Results

A total of 83 (30.5%) older adult patients presented an early progression on chest CT after 3-5 days of admission under standard initiate therapy. Six independent predictive factors were incorporated into the nomogram to predict the early progression, including CRP > 10 mg/L, IL-6 > 6.6 pg/mL, LDH > 245 U/L, CD4+ T-lymphocyte count <400/µL, the Activities of Daily Living (ADL) score ≤40 points, and the Mini Nutritional Assessment Scale-Short Form (MNA-SF) score ≤7 points. The area under the curve (AUC) of the nomogram in discriminating older adult patients who had risk factors in the training and validation cohort was 0.857 (95% CI 0.798, 0.916) and 0.774 (95% CI 0.667, 0.881), respectively. The calibration and decision curves demonstrated a high agreement in the predicted and observed risks, and the acceptable net benefit in predicting the early progression, respectively.

Conclusion

We created a nomogram incorporating highly available laboratory data and the Comprehensive Geriatric Assessment (CGA) findings that effectively predict early-stage progression in older adult patients with COVID-19 in the Omicron era.

[Potential for infusion correction of COVID-19-associated endotheliopathy]

AIM

To evaluate the relationship between the systemic inflammatory response and the severity of COVID-19-associated endotheliopathy and the effect of succinate-containing crystalloid solution (sodium meglumine succinate) on it in patients with severe COVID-19.

MATERIALS AND METHODS

Clinical and laboratory parameters of 53 intensive care unit's patients with COVID-19 complicated by community-acquired bilateral multisegmental pneumonia were analyzed. Intensive therapy complex of 27 patients (study group) included daily infusion of 1.5% solution of sodium meglumine succinate (Reamberin) in the daily dose of 10 ml/kg for at least 11 days (or during the whole stay in the unit). A similar volume of Ringer's solution was present in the control group of 26 patients. The levels of endotheliocytosis, homocysteine, and systemic inflammatory response were determined at all stages of the study.

RESULTS

The evaluation of endotheliopathy degree in the meglumine succinate group showed a significant reduction of initially elevated levels of endotheliemia and homocysteinemia at all study stages. The pattern of changes in the study group was highly correlated (r=0.90-0.96) with the dynamics of systemic inflammatory response parameters-fibrinogenemia, C-reactive protein and interleukin-6 levels. As normalization of the immune imbalance, we regarded the termination of lymphopenia in the Reamberin group.

CONCLUSION

Early inclusion of Reamberin infusion into intensive therapy of severe COVID-19, in comparison with Ringer's solution, leads to significant and stable correction of the severity of systemic inflammatory response, which in turn is naturally reflected in the severity of endothelial dysfunction, multiple organ failure, and also leads to a decrease in 28-day mortality.

Serum cystatin C and inflammatory factors related to COVID-19 consequences

BACKGROUND

Besides impaired respiratory function and immune system, COVID-19 can affect renal function from elevated blood urea nitrogen (BUN) or serum creatinine (sCr) levels to acute kidney injury (AKI) and renal failure. This study aims to investigate the relationship between Cystatin C and other inflammatory factors with the consequences of COVID-19.

METHODS

A total of 125 patients with confirmed Covid-19 pneumonia were recruited in this cross-sectional study from March 2021 to May 2022 at Firoozgar educational hospital in Tehran, Iran. Lymphopenia was an absolute lymphocyte count of less than 1.5 × 109/L. AKI was identified as elevated serum Cr concentration or reduced urine output. Pulmonary consequences were evaluated. Mortality was recorded in the hospital one and three months after discharge. The effect of baseline biochemical and inflammatory factors on odds of death was examined. SPSS, version 26, was used for all analyses. P-vale less than 0.05 was considered significant.

RESULTS

The highest amount of co-morbidities was attributed to COPD (31%; n = 39), dyslipidemia and hypertension (27%; n = 34 for each) and diabetes (25%; n = 31). The mean baseline cystatin C level was 1.42 ± 0.93 mg/L, baseline creatinine was 1.38 ± 0.86 mg/L, and baseline NLR was 6.17 ± 4.50. Baseline cystatin C level had a direct and highly significant linear relationship with baseline creatinine level of patients (P < 0.001; r: 0.926). ). The average score of the severity of lung involvement was 31.42 ± 10.80. There is a direct and highly significant linear relationship between baseline cystatin C level and lung involvement severity score (r = 0.890, P < 0.001). Cystatin C has a higher diagnostic power in predicting the severity of lung involvement (B = 3.88 ± 1.74, p = 0.026). The mean baseline cystatin C level in patients with AKI was 2.41 ± 1.43 mg/L and significantly higher than patients without AKI (P > 0.001). 34.4% (n = 43) of patients expired in the hospital, and the mean baseline cystatin C level of this group of patients was 1.58 ± 0.90 mg/L which was significantly higher than other patients (1.35 ± 0.94 mg/L, P = 0.002).

CONCLUSION

cystatin C and other inflammatory factors such as ferritin, LDH and CRP can help the physician predict the consequences of COVID-19. Timely diagnosis of these factors can help reduce the complications of COVID-19 and better treat this disease. More studies on the consequences of COVID-19 and knowing the related factors will help treat the disease as well as possible.

Prognostic potential of creatinine and Cystatin C in COVID-19 - a retrospective cohort study from Karolinska University Hospital

Acute kidney injury (AKI) is common in COVID-19 and is diagnosed using relative serum creatinine increase. Estimated GFR (eGFR) is a more accurate measure of glomerular filtration due to compensation for age and sex. Serum Cystatin-C, less affected by non-renal factors than creatinine, may further improve renal function estimation and add prognostic information. Our aim is to investigate the importance of a calculated eGFR in relation to creatinine as well as the value of Cystatin-C in patients with severe COVID-19. This study is a retrospective cohort study investigating levels and trends of routine laboratory parameters combined with clinical data from 286 consecutive patients with severe COVID-19 from Karolinska University Hospital. AKI developed in 38% of the patients and 15% were treated with hemodialysis. Mortality in the AKI group was 42% compared to 5% in the non-AKI group. At admission, eGFR_, but not creatinine, was significantly associated with AKI development, need of intubation and mortality. Moreover, discrepant results between eGFR creatinine (eGFR_CR) and eGFR Cystatin-C (eGFR_CYS) was common in the ICU patients compared to non-ICU patients and related to outcome. In addition, we found that daily median Cystatin-C levels during the hospital stay were correlated to neutrophil count. eGFR_CR was found to be an overall better prognostic marker than creatinine regarding AKI development and prognosis in severe COVID-19. Fulfillment of Shrunken pore syndrome criteria indicated a higher mortality risk. Cystatin-C may be related to neutrophil count, which could be a clue to the discrepant eGFR results.

Association of ACE ID, MTHFR C677T, and MIF-173GC variants with the clinical course of COVID-19 patients

The course of coronavirus disease-2019 (COVID-19) differs from person to person. The relationship between the genetic variations of the host and the course of COVID-19 has been a matter of interest. In this study, we investigated whether Angiotensin-Converting Enzyme (ACE) ID, Methylenetetrahydrofolate Reductase (MTHFR) C677T, and Macrophage Migration Inhibitory Factor (MIF)-173GC variants are risk factors for the clinical course of COVID-19 disease in Turkish patients. One hundred COVID-19 patients were included in the study. The diagnosis of COVID-19 was made using Reverse Transcription Polymerase Chain Reaction (RT-PCR) and Chest Computed Tomography (CT). The patients were evaluated in 3 groups: intensive care, service, and outpatient treatment. ACE ID, MTHFR C677T, and MIF-173GC variants were genotyped by PCR-Restriction Fragment Length Polymorphism (RFLP) methods. When the genotype distribution between the groups was examined, it was found that the frequency of the ACE DD genotype and the D allele was higher in the intensive care group compared to the hospitalized and outpatient groups. MTHFR C677T CT genotype T allele and MIF-173GC, CC genotype C allele were more prevalent in the intensive care group compared to other groups. Patients with PCR-positive results had a higher MTHFR C677T C/C genotype and C allele. In CT-positive patients, the MTHFR C677T CT genotype and the MIF-173GC, G allele were more common. It is predicted that genetic predisposition may contribute to COVID-19 morbidity and mortality. Our results show that ACE ID, MTHFR C677T, and MIF-173GC variants affect the course of COVID-19 disease in the Turkish population.

Contribution of vitamin D3 and thiols status to the outcome of COVID-19 disease in Italian pediatric and adult patients

The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARSCoV-2), was declared a global pandemic by the World Health Organization (WHO) on March 2020, causing unprecedented disease with million deaths across the globe, mostly adults. Indeed, children accounted for only a few percent of cases. Italy was the first Western country struck by the COVID-19 epidemic. Increasing age, which is one of the principal risk factors for COVID-19 mortality, is associated with declined glutathione (GSH) levels. Over the last decade, several studies demonstrated that both vitamin D (VD) and GSH have immunomodulatory properties. To verify the association between VD, GSH and the outcome of COVID-19 disease, we conducted a multicenter retrospective study in 35 children and 128 adult patients with COVID-19. Our study demonstrated a hypovitaminosis D in COVID-19 patients, suggesting a possible role of low VD status in increasing the risk of COVID-19 infection and subsequent hospitalization. In addition, we find a thiol disturbance with a GSH depletion associated to the disease severity. In children, who fortunately survived, both VD and GSH levels at admission were higher than in adults, suggesting that lower VD and thiols levels upon admission may be a modifiable risk factor for adverse outcomes and mortality in hospitalized patients with COVID-19.

Prognostic biomarkers for cardiovascular injury in patients with COVID-19: a review

Investigations into the causes of adverse outcomes of the novel coronavirus infection (COVID-19) have been ongoing since the beginning of the pandemic. There is evidence that coronavirus-induced cardiovascular injury is as important to a risk of adverse outcome as respiratory injury. Many studies have shown that concomitant cardiovascular disease aggravates the course of COVID-19. However, in some patients who did not have cardiovascular diseases before COVID-19, they are detected during hospitalization or after discharge from the hospital. The review examines data on the effect of serum biomarkers of cardiovascular disease determined during COVID-19 on the risk of adverse outcomes in the near and long-term follow-up periods. Among such biomarkers are considered: troponins, N-terminal pro B-type natriuretic peptide, creatine phosphokinase-MB, lactate dehydrogenase, myoglobin, growth stimulation expressed gene 2, pentraxin 3, angiotensin II, as well as D-dimer and homocysteine. Threshold values have been set for some of these biomarkers, which allow predicting the risk of an unfavorable outcome. At the same time, in most prognostic models, these markers are considered in association with cytokine storm indicators and other risk factors.

Immune Response to Vaccination against COVID-19 at Different Second-Dose Intervals and Their Associations with Metabolic Parameters

Obesity and diabetes are associated with severe outcomes of coronavirus disease (COVID-19). Vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been proven protective against infection and severe COVID-19. However, the immune response of metabolically burdened individuals to the vaccines remains unclear. Thus, we aimed to assess whether the metabolic status of individuals affects their humoral immune responses to the vaccination. Moreover, we evaluated whether the interval between the first two doses influenced antibody concentration. Sixty-seven individuals (21 males, 46 females) were vaccinated with the BNT162b2 mRNA COVID-19 vaccine. Fifty-four individuals were vaccinated with the second dose after 3 weeks and 13 after 5 weeks. We measured the antibody titers in all participants during the 19-week follow-up period. Patients diagnosed with COVID-19 were excluded. In the 5-week interval group, a significantly higher level of maximal antibody titers was observed. However, there were no differences in antibody concentrations after 19 weeks and no significant correlation between cardiometabolic factors and humoral response. The elongation of second-dose timing to 5 weeks leads to a higher acute antibody response but does not change long-term levels of antibody titers. Moreover, dysregulation of metabolic parameters does not lead to a diminished immune response to vaccination.

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.

SARS-CoV-2 Infection: What Is Currently Known about Homocysteine Involvement?

Since December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly throughout the world causing health, social and economic instability. The severity and prognosis of patients with SARS-CoV-2 infection are associated with the presence of comorbidities such as cardiovascular disease, hypertension, chronic lung disease, cerebrovascular disease, diabetes, chronic kidney disease, and malignancy. Thrombosis is one of the most serious complications that can occur in patients with COVID-19. Homocysteine is a non-proteinogenic α-amino acid considered a potential marker of thrombotic diseases. Our review aims to provide an updated analysis of the data on the involvement of homocysteine in COVID-19 to highlight the correlation of this amino acid with disease severity and the possible mechanisms by which it intervenes.

Correlation between vitamin D level and severity of prognostic markers in Egyptian COVID-19 patients: a cohort study

The outbreak of coronavirus disease 2019 (COVID-19), which is caused by the highly contagious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was announced a pandemic in March 2020 by the World Health Organization. The disease can be diagnosed on the basis of clinical symptoms, polymerase chain reaction positivity, and the presence of ground-glass opacities on computed tomography (CT) scans.

Recent studies have focused on the role of serum inflammatory markers that predict COVID-19, such as lymphocyte counts and C-reactive protein (CRP), homocysteine, and D-dimer levels. Vitamin D is thought to reduce the risk of viral infections through several mechanisms.

Our aim was to evaluate the correlation between serum vitamin D level and inflammatory markers and severity in Egyptian patients with COVID-19 infection. Serum vitamin D level had a positive correlation with hemoglobin level and lymphocytes.

As results, serum vitamin D had a negative correlation with serum ferritin, CRP, and D-dimer and was not correlated with CORAD scoring in the CT chest.

In conclusion, serum vitamin D was inversely correlated with inflammatory markers (ferritin, CRP, and D-dimer) which mean that participants with symptoms of COVID-19 had a high level of inflammatory markers and a low level of vitamin D.

Participants without symptoms of COVID-19 had normal inflammatory markers and normal vitamin D level.

Prognostic Performance of Cystatin C in COVID-19: A Systematic Review and Meta-Analysis

Cystatin C is a specific biomarker of kidney function. We perform this meta-analysis to determine the association of Cystatin C with the COVID-19 severity. In this systematic review and meta-analysis, we searched PubMed, EMBASE, Cochrane library, and Web of Science for studies published until 2nd September 2022 that reported associations between Cystatin C levels and COVID-19 severity. The analysis was performed using a random-effects model to calculate pooled standard mean difference (SMD). Twenty-five studies were included in the meta-analysis. Pooled analysis showed statistically significant differences of Cystatin C levels among survive vs. decreased patients (0.998 ± 0.225 vs. 1.328 ± 0.475 mg/dL, respectively; SMD = -2.14; 95%CI: -3.28 to -1.01; p < 0.001). Cystatin C levels in COVID-19 severe vs. non-severe groups varied and amounted to 1.485 ± 1.191 vs. 1.014 ± 0.601 mg/dL, respectively (SMD = 1.81; 95%CI: 1.29 to 2.32; p < 0.001). Additionally, pooled analysis showed that Cystatin C levels in patients with acute kidney injury (AKI) was 1.562 ± 0.885 mg/dL, compared to 0.811 ± 0.108 mg/dL for patients without AKI (SMD = 4.56; 95%CI: 0.27 to 8.85; p = 0.04). Summing up, Cystatin C is a potentially very good marker to be used in the context of COVID-19 disease due to the prognosis of patients' serious condition, risk of AKI and mortality. In addition, Cystatin C could be used as a marker of renal complications in COVID-19 other than AKI due to the need to monitor patients even longer after leaving the hospital.

Serum homocysteine level in pediatric patients with COVID-19 and its correlation with the disease severity

BACKGROUND

Thrombosis and embolism are possible complications in coronavirus disease 2019 (COVID)-19-positive pediatric patients. Although the risk is lesser in children than it is in adults, it does exist during acute infection and multi-inflammatory syndrome in children. Biomarkers such asd-dimer, prothrombin time, and fibrinogen degradation products are ineffective at detecting disease severity. Homocysteine (Hcy) is a prothrombotic factor that has been reported to be higher in adult COVID-19 patients, leading to speculation that it could be used as a biomarker for disease severity.

PURPOSE

To detect the correlation between serum total homocysteine (tHcy) level and the severity of COVID-19 in pediatrics.

METHODS

A cross-sectional study was conducted on 40 children with COVID-19 and 40 healthy control subjects. Serum tHcy was measured by enzyme-linked immunosorbent assay and correlated with the clinical, laboratory, and radiological parameters of the patients.

RESULTS

The median serum tHcy level in COVID-19 patients was 27.5 (interquartile range [IQR]: 23-31.75) μmol/L, while that in the controls was 1.8 (IQR: 1.6-1.875) μmol/L. There was a statistically significant increase in the tHcy level in cases compared to controls (p < 0.001). There was a statistically significant positive correlation between serum tHcy and d-dimer, ferritin, alanine transaminase, aspartate transaminase, blood urea nitrogen, and a highly significant positive correlation between tHcy and COVID-19 reporting and data system score, pediatric intensive care unit admission, and the disease severity classification.

CONCLUSION

Hcy could be a biomarker of importance in predicting the severity of COVID-19 in pediatrics.

Homocysteine in coronavirus disease (COVID-19): a systematic literature review

OBJECTIVES

Coronavirus disease 2019 (COVID-19) is a life-threatening infectious disorder characterized by a sustained prothrombotic state. Since homocysteine is a potential biomarker of thrombotic diseases, the aim of this article is to provide an updated overview on the possible role played by hyperhomocysteinemia in influencing an unfavorable COVID-19 progression.

METHODS

We carried out an electronic search in Medline (PubMed interface) using the keywords ("COVID-19" OR "SARS-CoV-2") AND "homocysteine", between 2019 and the present time, with no language restrictions, to identify all articles which explored the concentration of homocysteine in COVID-19 patients with or without unfavorable disease progression.

RESULTS

Three studies, totaling 694 hospitalized COVID-19 patients, were included in our systematic review. Overall, the differences between the mean homocysteine values in non-severe vs. severe COVID-19 patients were always positive (i.e., 15.1%, 24.1% and 22.8%, generating a positive weight mean difference of 1.75 μmol/L (95%CI, 1.26-2.25 μmol/L; p=0.011), which translates into a cumulative difference of approximately ∼1.2 μmol/L.

CONCLUSIONS

Despite the limited evidence that has been garnered so far, increased homocysteine ​​levels may be a potentially useful marker for predicting the risk of unfavorable progression in patients with COVID-19.

Possibility of blood test parameters usage in the evaluation of COVID-19 patients’ inflammatory status

Background: C-reactive protein (CRP) is a key laboratory biomarker for anti-inflammatory treatment initiation. Unfortunately, biochemical blood analyzers are not always easily accessible in medical institutions located far from major regional health facilities. Aim: To develop an approach for inflammatory status estimation based on blood test results in patients with COVID-19 in cases with limited laboratory equipment availability. Methods: The present retrospective study included 423 patients (male 54.6%; female 45.4%; mean age 59.1 years) receiving hospital treatment due to COVID-19 in Medical Research and Educational Center of Lomonosov Moscow State University from April 21st to June 13th 2020. All patients donated blood for full biochemistry and hematology testing and underwent chest computer tomography (CT). Results: CRP levels (60 mg/L) qualitative estimation model was developed based on hematologic test results. It included erythrocyte sedimentation rate and neutrophils to lymphocytes ratio. According to the results of Receiver Operating Characteristic (ROC) analysis present model was characterized by sensitivity of 70.2%, specificity of 74.6%, and area under the ROC-curve of 0.781. Comparison of key clinical parameters reflecting COVID-19 severity, such as length of hospitalization, lung damage at CT (hospital admission and discharge), revealed statistically significant difference between groups with routinely measured CRP levels 60 mg/L and 60 mg/L for all the above-mentioned parameters (p 0.05). These differences remained significant when measured CRP levels were substituted with estimated CRP values, indicating interchangeability of these approaches to CRP levels determination, regarding clinically important parameters. Conclusions: Presented model for inflammatory status estimation based on hematologic test results might be used to overcome clinical challenges in cases with limited laboratory equipment availability.

COVID-19: Are We Facing Secondary Pellagra Which Cannot Simply Be Cured by Vitamin B3?

Immune response to SARS-CoV-2 and ensuing inflammation pose a huge challenge to the host’s nicotinamide adenine dinucleotide (NAD⁺) metabolism. Humans depend on vitamin B3 for biosynthesis of NAD⁺, indispensable for many metabolic and NAD⁺-consuming signaling reactions. The balance between its utilization and resynthesis is vitally important. Many extra-pulmonary symptoms of COVID-19 strikingly resemble those of pellagra, vitamin B3 deficiency (e.g., diarrhoea, dermatitis, oral cavity and tongue manifestations, loss of smell and taste, mental confusion). In most developed countries, pellagra is successfully eradicated by vitamin B3 fortification programs. Thus, conceivably, it has not been suspected as a cause of COVID-19 symptoms. Here, the deregulation of the NAD⁺ metabolism in response to the SARS-CoV-2 infection is reviewed, with special emphasis on the differences in the NAD⁺ biosynthetic pathway’s efficiency in conditions predisposing for the development of serious COVID-19. SARS-CoV-2 infection-induced NAD⁺ depletion and the elevated levels of its metabolites contribute to the development of a systemic disease. Acute liberation of nicotinamide (NAM) in antiviral NAD⁺-consuming reactions potentiates “NAM drain”, cooperatively mediated by nicotinamide N-methyltransferase and aldehyde oxidase. “NAM drain” compromises the NAD⁺ salvage pathway’s fail-safe function. The robustness of the host’s NAD⁺ salvage pathway, prior to the SARS-CoV-2 infection, is an important determinant of COVID-19 severity and persistence of certain symptoms upon resolution of infection.

COVID-19 and One-Carbon Metabolism

Dysregulation of one-carbon metabolism affects a wide range of biological processes and is associated with a number of diseases, including cardiovascular disease, dementia, neural tube defects, and cancer. Accumulating evidence suggests that one-carbon metabolism plays an important role in COVID-19. The symptoms of long COVID-19 are similar to those presented by subjects suffering from vitamin B₁₂ deficiency (pernicious anemia). The metabolism of a cell infected by the SARS-CoV-2 virus is reshaped to fulfill the need for massive viral RNA synthesis, which requires de novo purine biosynthesis involving folate and one-carbon metabolism. Many aspects of host sulfur amino acid metabolism, particularly glutathione metabolism underlying antioxidant defenses, are also taken over by the SARS-CoV-2 virus. The purpose of this review is to summarize recent findings related to one-carbon metabolism and sulfur metabolites in COVID-19 and discuss how they inform strategies to combat the disease.

Homocysteine as a marker for predicting disease severity in patients with COVID-19

Aim: Our study was designed on the hypothesis that homocysteine levels are a prognostic parameter that can predict the severity of COVID-19 disease. Materials & methods: 117 COVID-19 patients and 34 non COVID-19 individuals were included in the study. Receiver operating characteristic (ROC) analysis was performed for homocysteine, D-dimer and monocyte/lymphocyte ratio (MLR) levels. Results: According to the ROC analysis, in COVID-19 patients group, Area under curve (AUC) values were 0.835 for homocysteine, 0.859 for D-dimer and 0.882 for MLR. According to the ROC analysis, in which homocysteine, MLR and D-dimer parameters were evaluated together, AUC values were 0.951 in the mild disease group, 1,000 in severe disease group and 0.967 in COVID-19 patients group. Conclusion: It was concluded that homocysteine level is an important parameter in the follow-up of COVID-19 disease.

РОЗРОБЛЕННЯ ЗАСОБУ ДЛЯ ПОКРАЩЕННЯ КОГНІТИВНИХ ФУНКЦІЙ ТА ЗНИЖЕННЯ РІВНЯ ГОМОЦИСТЕЇНУ

Вступ. Гіпергомоцистеїнемія є небезпечним метаболічним порушенням, що призводить до виникнення низки захворювань.Проблематика. Нагальним завданням є розроблення препаратів, які здатні знижувати рівень гомоцистеїну, не спричиняючи побічних ефектів.Мета. Розробити дієтичну добавку, що при мінімальному вмісті компонентів, які здатні викликати побічні реакції, знижує рівень гомоцистеїну; а також дослідити, чи впливає розроблена добавка на когнітивні здібності тварин, та впровадити її у виробництво.Матеріали й методи. До складу розробленої дієтичної добавки «Альфакогнітин» включено вітаміни В6, В9, В12, С і холін. Моделювання експериментальної гіпергомоцистенемії у щурів проводили шляхом утримання тварин наL-метіоніновій дієті. Вміст гомоцистеїну у крові визначали за допомогою іонообмінної рідинно-колонної хроматографії з використанням автоматичного аналізатору амінокислот. Поведінкові реакції та когнітивні здібності щурів досліджували за допомогою поведінкових тестів «Відкрите поле», «Електрична стимуляція кінцівки» і «Соціальнавзаємодія». Роботи щодо впровадження у виробництво виконано за участі компанії ТОВ «Нутрімед» (Київ).Результати. Показано, що у тварин із гіпергомоцистеїнемією «Альфакогнітин» знижував рівень гомоцистеїну, підвищував когнітивні здібності, ефективність соціальної взаємодії та комунікабельність, а також нормалізував функціональні порушення пам’яті та здатності до навчання. Затверджено технічні умови виробництва дієтичної добавки,відпрацьовано пілотну технологію отримання її капсульованої форми та виготовлено дослідну партію.Висновки. «Альфакогнітин» може знижувати рівень гомоцистеїну, що дозволяє використовувати його з метою нормалізації функціонального стану серцево-судинної та нервової систем за гіпергомоцистеїнемії, а також для покращення когнітивних функцій, зокрема після захворювання на COVID-19.

Serum amyloid A, ferritin and carcinoembryonic antigen as biomarkers of severity in patients with COVID-19

In view of the rapid spread of COVID-19 and the high mortality rate of severe cases, reliable risk stratifying indicators of prognosis are necessary to decrease morbidity and mortality. The aim of the present study was to evaluate the value of serum amyloid A (SAA) and carcinoembryonic antigen (CEA) as prognostic biomarkers in comparison to other predictors, including C-reactive protein (CRP) and ferritin levels. This study included 124 patients diagnosed with COVID-19, and they were assigned to one of two groups: Mild and severe, based on the severity of the infection. Radiological and laboratory investigations were performed, including evaluation of CRP, ferritin, D-Dimer, SAA and CEA levels. Significantly higher levels of CRP, ferritin, D-Dimer, SAA and CEA were observed in severe cases. SAA was significantly correlated with CRP (r=0.422, P<0.001), ferritin (r=0.574, P<0.001), CEA (r=0.514, P<0.001) and computed tomography severity score (CT-SS; r=0.691, P<0.001). CEA was correlated with CRP (r=0.441, P<0.001), ferritin (r=0.349, P<0.001) and CT-SS (r=0.374, P<0.001). Receiver operator characteristic (ROC) curves for performance of SAA, CEA, ferritin, CRP and SAA showed the highest AUC value of 0.928, with a specificity of 93.1%, and a sensitivity of 98.5% at a cut-off of 16 mg/l. The multi-ROC curve for SAA and ferritin showed 100% specificity, 100% sensitivity and 100% efficiency, with an AUC of 1.000. Thus, combining SAA and ferritin may have guiding significance for predicting COVID-19 severity. SAA alone showed the highest prognostic significance. Both SAA and CEA were positively correlated with the CT-SS. Early monitoring of these laboratory markers may thus provide significant input for halting disease progression and reducing mortality rates.

Associations between CT pulmonary opacity score on admission and clinical characteristics and outcomes in patients with COVID-19

This study investigated associations between chest computed tomography (CT) pulmonary opacity score on admission and clinical features and outcomes in COVID-19 patients. The retrospective multi-center cohort study included 496 COVID-19 patients in Jiangsu province, China diagnosed as of March 15, 2020. Patients were divided into four groups based on the quartile of pulmonary opacity score: ≤ 5%, 6-20%, 21-40% and 41% +. CT pulmonary opacity score was independently associated with age, single onset, fever, cough, peripheral capillary oxygen saturation, lymphocyte count, platelet count, albumin level, C-reactive protein (CRP) level and fibrinogen level on admission. Patients with score ≥ 41% had a dramatic increased risk of severe or critical illness [odds ratio (OR), 15.58, 95% confidence interval (CI) 3.82-63.53), intensive care unit (ICU)] admission (OR, 6.26, 95% CI 2.15-18.23), respiratory failure (OR, 19.49, 95% CI 4.55-83.40), and a prolonged hospital stay (coefficient, 2.59, 95% CI 0.46-4.72) compared to those with score ≤ 5%. CT pulmonary opacity score on admission, especially when ≥ 41%, was closely related to some clinical characteristics and was an independent predictor of disease severity, ICU admission, respiratory failure and long hospital stay in patients with COVID-19.

Plasma S-Adenosylmethionine Is Associated with Lung Injury in COVID-19

Objective

S-Adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) are indicators of global transmethylation and may play an important role as markers of severity of COVID-19.

Methods

The levels of plasma SAM and SAH were determined in patients admitted with COVID-19 (n = 56, mean age = 61). Lung injury was identified by computed tomography (CT) in accordance with the CT0-4 classification.

Results

SAM was found to be a potential marker of lung damage risk in COVID-19 patients (SAM > 80 nM; CT3,4 vs. CT 0-2: relative ratio (RR) was 3.0; p = 0.0029). SAM/SAH > 6.0 was also found to be a marker of lung injury (CT2-4 vs. CT0,1: RR = 3.47, p = 0.0004). There was a negative association between SAM and glutathione level (ρ = −0.343, p = 0.011). Interleukin-6 (IL-6) levels were associated with SAM (ρ = 0.44, p = 0.01) and SAH (ρ = 0.534, p = 0.001) levels.

Conclusions

A high SAM level and high methylation index are associated with the risk of lung injury in patients with COVID-19. The association of SAM with IL-6 and glutathione indicates an important role of transmethylation in the development of cytokine imbalance and oxidative stress in patients with COVID-19.

Which hematological markers have predictive value as early indicators of severe COVID-19 cases in the emergency department?

Background/aim

Coronavirus 2019 disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pandemic infectious disease that causes morbidity and mortality. As a result of high mortality rate among the severe COVID-19 patients, the early detection of the disease stage and early effective interventions are very important in reducing mortality. Hence, it is important to differentiate severe and nonsevere cases from each other. To date, there are no proven diagnostic or prognostic parameters that can be used in this manner. Due to the expensive and not easily accessible tests that are performed for COVID-19, researchers are investigating some parameters that can be easily used. In some recent studies, hematological parameters have been evaluated to see if they can be used as predictive parameters.

Materials and methods

In the current study, almost all hematological parameters were used, including the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, monocyte/lymphocyte ratio, mean platelet volume to lymphocyte ratio, mean platelet volume to platelet ratio, plateletcrit, and D-dimer/fibrinogen ratio, neutrophil/lymphocyte/platelet scoring system, and systemic immune-inflammation index. A total of 750 patients, who were admitted to Ankara City Hospital due to COVID-19, were evaluated in this study. The patients were classified into 2 groups according to their diagnosis (confirmed or probable) and into 2 groups according to the stage of the disease (nonsevere or severe).

Results

The values of the combinations of inflammatory markers and other hematological parameters in all of the patients with severe COVID-19 were calculated, and the predicted values of these parameters were compared. According to results of the study, nearly all of the hematological parameters could be used as potential diagnostic biomarkers for subsequent analysis, because the area under the curve (AUC) was higher than 0.50, especially for the DFR and NLR, which had the highest AUC among the parameters.

Conclusion

Our findings indicate that, the parameters those enhanced from complete blood count, which is a simple laboratory test, can help to identify and classify COVID-19 patients into non-severe to severe groups.

A close-up view of dynamic biomarkers in the setting of COVID-19: Striking focus on cardiovascular system

Based on the recent reports, cardiovascular events encompass a large portion of the mortality caused by the COVID‐19 pandemic, which drawn cardiologists into the management of the admitted ill patients. Given that common laboratory values may provide key insights into the illness caused by the life‐threatening SARS‐CoV‐2 virus, it would be more helpful for screening, clinical management and on‐time therapeutic strategies. Commensurate with these issues, this review article aimed to discuss the dynamic changes of the common laboratory parameters during COVID‐19 and their association with cardiovascular diseases. Besides, the values that changed in the early stage of the disease were considered and monitored during the recovery process. The time required for returning biomarkers to basal levels was also discussed. Finally, of particular interest, we tended to abridge the latest updates regarding the cardiovascular biomarkers as prognostic and diagnostic criteria to determine the severity of COVID‐19.

Immune dysregulation and system pathology in COVID-19

The coronavirus disease 19 (COVID-19) caused by the novel coronavirus known as SARS-CoV-2 has caused a global public health crisis. As of 7 January 2021, 87,640,402 confirmed cases and 1,891,692 mortalities have been reported worldwide. Studies focusing on the epidemiological and clinical characteristics of COVID-19 patients have suggested a dysregulated immune response characterized by lymphopenia and cytokine storm in these patients. The exaggerated immune response induced by the cytokine storm causes septic shock, acute respiratory distress syndrome (ARDS), and/or multiple organs failure, which increases the fatality rate of patients with SARS-CoV-2 infection. Herein, we review the recent research progress on epidemiology, clinical features, and system pathology in COVID-19. Moreover, we summarized the recent therapeutic strategies, which are either approved, under clinical trial, and/or under investigation by the local or global health authorities. We assume that treatments should focus on the use of antiviral drugs in combination with immunomodulators as well as treatment of the underlying comorbidities.

The Potential Role of Vitamin B12 in the Prevention of COVID-19 Complications: A Narrative Review

The elderly are more prone to mortality from COVID-19 infection, as they are susceptible to develop acute respiratory distress syndrome (ARDS). For COVID-19 patients with ARDS caused by sepsis or septic shock, high-dose parenteral vitamin B12 appears to be a potential new treatment option. Vitamin B12 may play a substantial impact in COVID-19 morbidity and mortality reduction owing to its function in DNA synthesis, cellular control, improvement of anti-inflammatory immune responses, and decrease of pro-inflammatory responses. This review aims to assess the functional role of Vitamin B12 in COVID-19 in terms of its immunomodulatory effect, role in cellular and humoral immunity and maintaining the gut microbe homeostasis. From data inception to June 2021, accessible electronic databases were searched for research/review articles reporting on the function of Vitamin B12 in COVID-19. Scopus, Web of Science, PubMed, WHO worldwide research on COVID-19 and the clinical trials registration “https://clinicaltrials.gov/” were used to conduct the systematic search by using keywords: “COVID-19 and “Vitamin B12”. Also, based on these outcomes, it can be concluded that Vitamin B12 may have a potential role in preventing COVID-19 complications. Further, studies evaluating the role of Vitamin B12 in COVID-19 may open a new array of ideas on the optimal and the well-tolerated dose and timing of its administration in COVID-19 patients.

Review on oxidative stress relation on COVID-19: Biomolecular and bioanalytical approach

COVID-19 disease has put life of people in stress worldwide from many aspects. Since the virus has mutated in absolutely short period of time the challenge to find a suitable vaccine has become harder. Infection to COVID-19, especially at severe life threatening states is highly dependent on the strength of the host immune system. This system is partially dependent on the balance between oxidative stress and antioxidant. Besides, this virus still has unknown mechanism of action companied by a probable commune period. From another hand, some reactive oxygen species (ROS) levels can be helpful on the state determination of the disease. Thus it could be possible to use modern bioanalytical techniques for their detection and determination, which could indicate the disease state at the golden time window since they have the potential to show whether specific DNA, RNA, enzymes and proteins are affected. This also could be used as a preclude study or a reliable pathway to define the best optimized time of cure beside effective medical actions. Herein, some ROS and their relation with SARS-CoV-2 virus have been considered. In addition, modern bioelectroanalytical techniques on this approach from quantitative and qualitative points of view have been reviewed.

Association of Low Molecular Weight Plasma Aminothiols with the Severity of Coronavirus Disease 2019

Objective

Aminothiols (glutathione (GSH), cysteinylglycine (CG)) may play an important role in the pathogenesis of coronavirus disease 2019 (COVID-19), but the possible association of these indicators with the severity of COVID-19 has not yet been investigated.

Methods

The total content (t) and reduced forms (r) of aminothiols were determined in patients with COVID-19 (n = 59) on admission. Lung injury was characterized by computed tomography (CT) findings in accordance with the CT0-4 classification.

Results

Low tGSH level was associated with the risk of severe COVID-19 (tGSH ≤ 1.5 μM, mild vs. moderate/severe: risk ratio (RR) = 3.09, p = 0.007) and degree of lung damage (tGSH ≤ 1.8 μM, CT < 2 vs. CT ≥ 2: RR = 2.14, p = 0.0094). The rGSH level showed a negative association with D-dimer levels (ρ = -0.599, p = 0.014). Low rCG level was also associated with the risk of lung damage (rCG ≤ 1.3 μM, CT < 2 vs. CT ≥ 2: RR = 2.28, p = 0.001). Levels of rCG (ρ = -0.339, p = 0.012) and especially tCG (ρ = -0.551, p = 0.004) were negatively associated with platelet count. In addition, a significant relationship was found between the advanced oxidation protein product level and tGSH in patients with moderate or severe but not in patients with mild COVID-19.

Conclusion

Thus, tGSH and rCG can be seen as potential markers for the risk of severe COVID-19. GSH appears to be an important factor to oxidative damage prevention as infection progresses. This suggests the potential clinical efficacy of correcting glutathione metabolism as an adjunct therapy for COVID-19.

Comparison of clinical characteristics in patients with coronavirus disease and influenza A in Guangzhou, China

BACKGROUND

This study aims to compare the epidemiological, clinical and laboratory characteristics between patients with coronavirus disease (COVID-19) and influenza A (H1N1), and to develop a differentiating model and a simple scoring system.

METHODS

We retrospectively analyzed the data from patients with COVID-19 and H1N1. The logistic regression model based on clinical and laboratory characteristics was constructed to distinguish COVID-19 from H1N1. Scores were assigned to each of independent discrimination factors based on their odds ratios. The performance of the prediction model and scoring system was assessed.

RESULTS

A total of 236 patients were recruited, including 20 COVID-19 patients and 216 H1N1 patients. Logistic regression revealed that age >34 years, temperature ≤37.5 °C, no sputum or myalgia, lymphocyte ratio ≥20% and creatine kinase-myocardial band isoenzyme (CK-MB) >9.7 U/L were independent differentiating factors for COVID-19. The area under curves (AUCs) of the prediction model and scoring system in differentiating COVID-19 from H1N1 were 0.988 and 0.962, respectively.

CONCLUSIONS

There are certain differences in clinical and laboratory features between patients with COVID-19 and H1N1. The simple scoring system may be a useful tool for the early identification of COVID-19 patients from H1N1 patients.

Development and Validation of a Nomogram for Predicting the Disease Progression of Nonsevere Coronavirus Disease 2019

Background and Objectives

The majority of coronavirus disease 2019 (COVID-19) cases are nonsevere, but severe cases have high mortality and need early detection and treatment. We aimed to develop a nomogram to predict the disease progression of nonsevere COVID-19 based on simple data that can be easily obtained even in primary medical institutions.

Methods

In this retrospective, multicenter cohort study, we extracted data from initial simple medical evaluations of 495 COVID-19 patients randomized (2:1) into a development cohort and a validation cohort. The progression of nonsevere COVID-19 was recorded as the primary outcome. We built a nomogram with the development cohort and tested its performance in the validation cohort.

Results

The nomogram was developed with the nine factors included in the final model. The area under the curve (AUC) of the nomogram scoring system for predicting the progression of nonsevere COVID-19 into severe COVID-19 was 0.875 and 0.821 in the development cohort and validation cohort, respectively. The nomogram achieved a good concordance index for predicting the progression of nonsevere COVID-19 cases in the development and validation cohorts (concordance index of 0.875 in the development cohort and 0.821 in the validation cohort) and had well-fitted calibration curves showing good agreement between the estimates and the actual endpoint events.

Conclusions

The proposed nomogram built with a simplified index might help to predict the progression of nonsevere COVID-19; thus, COVID-19 with a high risk of disease progression could be identified in time, allowing an appropriate therapeutic choice according to the potential disease severity.

Redox imbalance links COVID-19 and myalgic encephalomyelitis/chronic fatigue syndrome

Although most patients recover from acute COVID-19, some experience postacute sequelae of severe acute respiratory syndrome coronavirus 2 infection (PASC). One subgroup of PASC is a syndrome called "long COVID-19," reminiscent of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). ME/CFS is a debilitating condition, often triggered by viral and bacterial infections, leading to years-long debilitating symptoms including profound fatigue, postexertional malaise, unrefreshing sleep, cognitive deficits, and orthostatic intolerance. Some are skeptical that either ME/CFS or long COVID-19 involves underlying biological abnormalities. However, in this review, we summarize the evidence that people with acute COVID-19 and with ME/CFS have biological abnormalities including redox imbalance, systemic inflammation and neuroinflammation, an impaired ability to generate adenosine triphosphate, and a general hypometabolic state. These phenomena have not yet been well studied in people with long COVID-19, and each of them has been reported in other diseases as well, particularly neurological diseases. We also examine the bidirectional relationship between redox imbalance, inflammation, energy metabolic deficits, and a hypometabolic state. We speculate as to what may be causing these abnormalities. Thus, understanding the molecular underpinnings of both PASC and ME/CFS may lead to the development of novel therapeutics.

Cystatin C, COVID-19 severity and mortality: a systematic review and meta-analysis

Background

Combined markers of renal dysfunction and inflammation, e.g., cystatin C, might assist with risk stratification and clinical decisions in patients with coronavirus disease 19 (COVID-19). We conducted a systematic review and meta-analysis with meta-regression of serum cystatin C in COVID-19.

Methods

We searched PubMed, Web of Science and Scopus, between January 2020 and February 2021, for studies reporting serum cystatin C concentrations, measures of clinical severity and survival outcomes in hospitalized COVID-19 patients (PROSPERO registration number: CRD42021245295).

Results

Thirteen studies in 2510 COVID-19 patients, 1972 with low severity or survivor status and 538 with high severity or non-survivor status during follow up, were included in the meta-analysis. The pooled results showed that serum cystatin C concentrations were higher in patients with high disease severity or non-survivor status (standard mean deviation, SMD, 1.71, 95% CI 0.95 to 2.46, p < 0.001). Extreme between-study heterogeneity was observed (I² = 97.5%, p < 0.001). Sensitivity analysis, performed by sequentially removing each study and re-assessing the pooled estimates, showed that the magnitude and direction of the effect size was not substantially modified. The Begg’s and Egger’s t tests did not show publication bias. In meta-regression, the SMD of serum cystatin C was not associated with age, proportion of males, C-reactive protein, neutrophils, lymphocytes, aspartate aminotransferase, alanine aminotransferase, albumin, creatinine, creatine kinase-MB, lactate dehydrogenase, and proportion of patients with diabetes or hypertension.

Conclusions

Higher concentrations of serum cystatin C were associated with higher COVID-19 severity and mortality.

Graphic abstract

Cardiovascular diseases burden in COVID-19: Systematic review and meta-analysis

BACKGROUND

High rate of cardiovascular disease (CVD) have been reported among patients with novel coronavirus disease (COVID-19). Meanwhile there were controversies among different studies about CVD burden in COVID-19 patients. Hence, we aimed to study CVD burden among COVID-19 patients, using a systematic review and meta-analysis.

METHODS

We have systematically searched databases including PubMed, Embase, Cochrane Library, Scopus, Web of Science as well as medRxiv pre-print database. Hand searched was also conducted in journal websites and Google Scholar. Meta-analyses were carried out for Odds Ratio (OR) of mortality and Intensive Care Unit (ICU) admission for different CVDs. We have also performed a descriptive meta-analysis on different CVDs.

RESULTS

Fifty-six studies entered into meta-analysis for ICU admission and mortality outcome and 198 papers for descriptive outcomes, including 159,698 COVID-19 patients. Results of meta-analysis indicated that acute cardiac injury, (OR: 13.29, 95% CI 7.35-24.03), hypertension (OR: 2.60, 95% CI 2.11-3.19), heart Failure (OR: 6.72, 95% CI 3.34-13.52), arrhythmia (OR: 2.75, 95% CI 1.43-5.25), coronary artery disease (OR: 3.78, 95% CI 2.42-5.90), and cardiovascular disease (OR: 2.61, 95% CI 1.89-3.62) were significantly associated with mortality. Arrhythmia (OR: 7.03, 95% CI 2.79-17.69), acute cardiac injury (OR: 15.58, 95% CI 5.15-47.12), coronary heart disease (OR: 2.61, 95% CI 1.09-6.26), cardiovascular disease (OR: 3.11, 95% CI 1.59-6.09), and hypertension (OR: 1.95, 95% CI 1.41-2.68) were also significantly associated with ICU admission in COVID-19 patients.

CONCLUSION

Findings of this study revealed a high burden of CVDs among COVID-19 patients, which was significantly associated with mortality and ICU admission. Proper management of CVD patients with COVID-19 and monitoring COVID-19 patients for acute cardiac conditions is highly recommended to prevent mortality and critical situations.

Vitamin D deficiency as a predictor of severity in patients with COVID-19 infection

BACKGROUND

As an immune modulator, vitamin D has been implicated in the coronavirus disease 2019 (COVID-19) severity. This study aimed to investigate the association between vitamin D levels and the severity of COVID-19 infection.

METHODS

A cross-sectional study, which included 124 patients diagnosed with COVID-19 and were selected from Ain Shams University Hospitals and assigned to two groups; mild and severe COVID-19. All patients underwent detailed history taking, clinical data, and different laboratory investigations as complete blood count, blood urea nitrogen, serum creatinine, liver enzymes, C-reactive protein, D-dimer, ferritin and serum vitamin D concentration. In addition to findings of initial chest computed tomography (CT) were recorded. COVID-19 Reporting and Data System (CO-RADS) and CT chest severity scores (CT SS) were reported.

RESULTS

In this study of 124 COVID-19-positive individuals, a high prevalence of hypovitaminosis D was found (97.6%). Lower vitamin D levels were significantly associated with more severe COVID-19 cases (p-value < 0.001), higher blood levels of inflammatory markers including (D-dimer, CRP, and ferritin), a higher CT SS and longer disease duration. Serum vitamin D can be used as a predictor for the severity of COVID-19 infection with a specificity of 96.6%, and sensitivity of 45.5%.

CONCLUSION

The high frequency of hypovitaminosis D in severe COVID-19 patients provides further evidence of a potential link to poor prognosis and severity of the disease, so vitamin D deficiency may be a marker of poor prognosis in these patients.

Medical imaging and computational image analysis in COVID-19 diagnosis: A review

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. The disease presents with symptoms such as shortness of breath, fever, dry cough, and chronic fatigue, amongst others. The disease may be asymptomatic in some patients in the early stages, which can lead to increased transmission of the disease to others. This study attempts to review papers on the role of imaging and medical image computing in COVID-19 diagnosis. For this purpose, PubMed, Scopus and Google Scholar were searched to find related studies until the middle of 2021. The contribution of this study is four-fold: 1) to use as a tutorial of the field for both clinicians and technologists, 2) to comprehensively review the characteristics of COVID-19 as presented in medical images, 3) to examine automated artificial intelligence-based approaches for COVID-19 diagnosis, 4) to express the research limitations in this field and the methods used to overcome them. Using machine learning-based methods can diagnose the disease with high accuracy from medical images and reduce time, cost and error of diagnostic procedure. It is recommended to collect bulk imaging data from patients in the shortest possible time to improve the performance of COVID-19 automated diagnostic methods.

COVID-19 spreading across world correlates with C677T allele of the methylenetetrahydrofolate reductase (MTHFR) gene prevalence

Background

Homocysteine assessment has been proposed as a potential predictive biomarker for the severity of COVID‐19 infection. The purpose of this review was to analyze the correlation between the prevalence of MTHFR C677 T gene polymorphism and COVID‐19 incidence and mortality worldwide.

Methods

Data regarding MTHFR C677 T gene mutation were obtained from the interrogation of the Genome Aggregation Database (genomAD), which is publicly available from the web“https://gnomad.broadinstitute.org.” COVID‐19 cases, including prevalence and mortality, were obtained from“https://www.worldometers.info/coronavirus” 27 August 2020.

Results

There is a clear trend toward the worldwide prevalence of MTHFR 677 T and COVID‐19 incidence and mortality. The prevalence of MTHFR677 T allele in the Latino population, and the incidence and mortality for COVID‐19 was higher for this ethnic group than that reported for most other populations globally. Statistical analysis showed a relatively strong correlation between C677 T and death from coronavirus.

Conclusions

Genetic polymorphism of MTHFR C677 T may modulate the incidence and severity of COVID‐19 pandemic infection.

An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China

Purpose: By analyzing the CT manifestations and evolution of COVID in non-epidemic areas of southeast China, analyzing the developmental abnormalities and accompanying signs in the early and late stages of the disease, providing imaging evidence for clinical diagnosis and identification, and assisting in judging disease progression and monitoring prognosis. Methods: This retrospective and multicenter study included 1,648 chest CT examinations from 693 patients with laboratory-confirmed COVID-19 infection from 16 hospitals of southeast China between January 19 and March 27, 2020. Six trained radiologists analyzed and recorded the distribution and location of the lesions in the CT images of these patients. The accompanying signs include crazy-paving sign, bronchial wall thickening, microvascular thickening, bronchogram sign, fibrous lesions, halo and reverse-halo signs, nodules, atelectasis, and pleural effusion, and at the same time, they analyze the evolution of the abovementioned manifestations over time. Result: There were 1,500 positive findings in 1,648 CT examinations of 693 patients; the average age of the patients was 46 years, including 13 children; the proportion of women was 49%. Early CT manifestations are single or multiple nodular, patchy, or flaky ground-glass-like density shadows. The frequency of occurrence of ground-glass shadows (47.27%), fibrous lesions (42.60%), and microvascular thickening (40.60%) was significantly higher than that of other signs. Ground-glass shadows increase and expand 3-7 days after the onset of symptoms. The distribution and location of lesions were not significantly related to the appearance time. Ground-glass shadow is the most common lesion, with an average absorption time of 6.2 days, followed by consolidation, with an absorption time of about 6.3 days. It takes about 8 days for pure ground-glass lesions to absorb. Consolidation change into ground glass or pure ground glass takes 10-14 days. For ground-glass opacity to evolve into pure ground-glass lesions, it takes an average of 17 days. For ground-glass lesions to evolve into consolidation, it takes 7 days, pure ground-glass lesions need 8 days to evolve into ground-glass lesions. The average time for CT signs to improve is 10-15 days, and the first to improve is the crazy-paving sign and nodules; while the progression of the disease is 6-12 days, the earliest signs of progression are air bronchogram signs, bronchial wall thickening, and bronchiectasis. There is no severe patient in this study. Conclusion: This study depicts the CT manifestation and evolution of COVID in non-epidemic origin areas, and provides valuable first-hand information for clinical diagnosis and judgment of patient's disease evolution and prediction.

Comparison of hematological parameters and perinatal outcomes between COVID-19 pregnancies and healthy pregnancy cohort

OBJECTIVES

To evaluate the relationship between Coronavirus Disease 2019 (COVID-19) in pregnancy and adverse perinatal outcomes. The secondary aim is to analyze the diagnostic value of hematologic parameters in COVID-19 complicated pregnancies.

METHODS

The current study is conducted in a high volume tertiary obstetrics center burdened by COVID-19 pandemics, in Turkey. In this cohort study, perinatal outcomes and complete blood count indices performed at the time of admission of 39 pregnancies (Study group) complicated by COVID-19 were compared with 69 uncomplicated pregnancies (Control group).

RESULTS

There was no significant difference between the obstetric and neonatal outcomes of pregnancies with COVID-19 compared to data of healthy pregnancies, except the increased C-section rate (p=0.026). Monocyte count, red cell distribution width (RDW), neutrophil/lymphocyte ratio (NLR), and monocyte/lymphocyte ratio (MLR) were significantly increased (p<0.0001, p=0.009, p=0.043, p<0.0001, respectively) whereas the MPV and plateletcrit were significantly decreased (p=0.001, p=0.008) in pregnants with COVID-19. ROC analysis revealed that the optimal cut-off value for MLR was 0.354 which indicated 96.7% specificity and 59.5% sensitivity in diagnosis of pregnant women with COVID-19. A strong positive correlation was found between the MLR and the presence of cough symptom (r=41.4, p=<0.0001).

CONCLUSIONS

The study revealed that, pregnancies complicated by COVID-19 is not related with adverse perinatal outcomes. MLR may serve as a supportive diagnostic parameter together with the Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) in assessment of COVID-19 in pregnant cohort.

Folic acid as placebo in controlled clinical trials of hydroxychloroquine prophylaxis in COVID-19: Is it scientifically justifiable?

Using folic acid (FA) as placebo complicates the interpretation of the findings of few RCTs evaluating safety and efficacy of hydroxychloroquine prophylaxis in COVID-19. FA is found to bind to furin-protease and spike: ACE2 interface of SARS-CoV-2. In clinical studies, FA level was lowest among severe patients compared to mild and moderate disease. A single controlled study reported the benefit of combination of folic acid with Pyridoxine & cyanocobalamin in terms of clinical and laboratory cure parameters. One hypothesis associates the differences in geographical variation of disease severity with prevalence of methyl tertahydrofolic acid reductase (MTHFR) C677T polymorphism. Other possible domains, where FA is hypothesized to be beneficial are COVID-19 associated pulmonary hypertension and hyper-homocystinemia. So, scientific justification of using folic acid as placebo in COVID-19 trials seems scientifically not credible and this may be one of the major factors for failure of many agents. We need to be more careful in choosing our placebo especially when conducting a placebo controlled trial.

Association between vitamin D deficiency and serum Homocysteine levels and its relationship with coronary artery disease

Homocysteine (Hcy) elevation and vitamin D deficiency have emerged as potential markers of coronary artery disease (CAD). However, even tough hypovitaminosis D has been suggested to interfere with Hcy catabolism, no study has so far addressed the interaction of vitamin D and Hcy and their impact on CAD, that was the aim of present study. A cohort of consecutive patients undergoing coronary angiography in a single center were included and analyzed within the year 2019. Significant CAD was defined as at least 1 vessel stenosis > 50%, while severe CAD as left main and/or three-vessel disease. Hcy and vitamin D levels were assesssed at admission. We included 3150 patients undergoing coronary angiography at our centre, who were divided according to the quartiles values of vitamin D. Patients with lower levels of Vitamin D displayed a higher cardiovascular risk profile and a higher prevalence of CAD. We observed an inverse linear relationship between lower levels of vitamin D and higher Hcy (r = − 0.092, p < 0.001) and a higher prevalence of hyperhomocysteinemia in patients with lower quartiles values of vitamin D (p < 0.001). By forward conditional regression model, low vitamin D appeared as independent predictors of Homocysteine levels above the median (OR[95%CI] = 1.79[1.37–2.33], p < 0.001). In addition, patients with low vitamin D (below the median) and increased Hcy displayed a non-significantly higher rate of CAD (81% vs 77.7%, p = 0.13, adjusted OR[95%CI] = 1.16[0.88–1.54], p = 0.29) but a significant increase in the rate of severe left main/3-vessel CAD (37.4% vs 30.5%, p = 0.005, adjusted OR[95%CI] = 1.29[1.02–1.67], p = 0.04). Among patients with vitamin D levels above the median, Hcy levels did not impact on the prevalence and extent of CAD (77.7 vs 77.2%, p = 0.81, adjusted OR[95%CI] = 0.94[0.73–1.20], p = 0.60 for CAD and 31.8% vs 27.7%, p = 0.08, adjusted OR[95%CI] = 0.97[0.75–1.25], p = 0.81 for severe left main/3-vessel CAD). No significant interaction between Hcy and vitamin D with CAD or severe CAD was observed. The present study shows an independent inverse linear relationship between vitamin D and Hcy values. Moreover, the association of Hcy with the extent of CAD was significant only among patients with hypovitaminosis D, and not in the cohort of subjects with vitamin D levels above the median, suggesting that a normal vitamin D status can prevent the deleterious effects of hyperhomocysteinemia on coronary atherosclerosis, a hypothesis that certainly needs further confirmation in larger randomized trials.

Chest CT findings of coronavirus disease 2019 (COVID-19): A comprehensive meta-analysis of 9907 confirmed patients

OBJECTIVES

We performed a systematic review and meta-analysis of the prevalence of chest CT findings in patients with confirmed COVID-19 infection.

METHODS

Systematic review of the literature was performed using PubMed, Scopus, Embase, and Google Scholar to retrieve original studies on chest CT findings of patients with confirmed COVID-19, available up to 10 May 2020. Data on frequency and distribution of chest CT findings were extracted from eligible studies, pooled and meta-analyzed using random-effects model to calculate the prevalence of chest CT findings.

RESULTS

Overall, 103 studies (pooled population: 9907 confirmed COVID-19 patients) were meta-analyzed. The most common CT findings were ground-glass opacities (GGOs) (77.18%, 95%CI = 72.23-81.47), reticulations (46.24%, 95%CI = 38.51-54.14), and air bronchogram (41.61%, 95%CI = 32.78-51.01). Pleural thickening (33.35%, 95%CI = 21.89-47.18) and bronchial wall thickening (15.48%, 95%CI = 8.54-26.43) were major atypical and airway findings. Lesions were predominantly distributed bilaterally (75.72%, 95%CI = 70.79-80.06) and peripherally (65.64%, 95%CI = 58.21-72.36), while 8.20% (95%CI = 6.30-10.61) of patients had no abnormal findings and pre-existing lung diseases were present in 6.01% (95%CI = 4.37-8.23).

CONCLUSIONS

The most common CT findings in COVID-19 are GGOs with/without consolidation, reticulations, and air bronchogram, which often involve both lungs with peripheral distribution. However, COVID-19 might present with atypical manifestations or no abnormal findings in chest CT, which deserve clinicians' notice.

The relation between serum D-dimer, ferritin and vitamin D levels, and dysgeusia symptoms, in patients with coronavirus disease 2019

Objective

This study aimed to evaluate the association between serum D-dimer, ferritin and vitamin D levels, and dysgeusia symptoms, in patients with coronavirus disease 2019.

Methods

The present study was conducted with the medical records of 300 patients positive for coronavirus disease 2019, hospitalised between 28 March and 15 August 2020. The patients were divided into two groups regarding the presence or absence of dysgeusia symptoms.

Results

Fever and sore throat rates, and the mean D-dimer level, were considerably higher in the dysgeusia group than in the non-dysgeusia group (32.1 vs 21.6 per cent, p = 0.04; 43.6 vs 20.7 per cent, p < 0.001; and 0.54 ± 0.32 vs 0.49 ± 0.51 mg/l FEU, p = 0.008, respectively). The mean age was significantly lower in the dysgeusia group than in the non-dysgeusia group (42.83 ± 12.31 vs 50.51 ± 13.67 years, p < 0.001).

Conclusion

Younger age, fever and shortness of breath could be observed in patients with dysgeusia symptoms. In addition, the D-dimer level was significantly higher in the dysgeusia group.

Thrombocytopenia Is Associated with COVID-19 Severity and Outcome: An Updated Meta-Analysis of 5637 Patients with Multiple Outcomes

The COVID-19 pandemic is persistent worldwide. A prior meta-analysis suggested the association of thrombocytopenia (TCP) with more severe COVID-19 illness and high mortality. Considering newly published studies, we updated the previous meta-analysis to confirm and explain the association of TCP with COVID-19 severity and multiple outcomes. Twenty-four studies with 5637 patients with COVID-19 were included in this study. The weighted incidence of TCP in COVID-19 was 12.4% (95% confidence interval [CI], 7.9%-17.7%). Data synthesis showed that the platelet number was lower in patients with either more severe illness or poor outcomes and even lower in nonsurvivors, with weighted mean differences of -24.56 × 109/L, -22.48 × 109/L, and -49.02 × 109/L, respectively. The meta-analysis of binary outcomes (with and without TCP) indicated the association between TCP and 3-fold enhanced risk of a composite outcome of intensive care unit admission, progression to acute respiratory distress syndrome, and mortality (odds ratio [OR], 3.49; 95% CI, 1.57-7.78). Subgroup analysis by endpoint events suggested TCP to be significantly associated with mortality (OR, 7.37; 95% CI, 2.08-26.14). Overall, the present comprehensive meta-analysis indicated that approximately 12% of hospitalized patients with COVID-19 have TCP, which also represents a sign of more severe illness and poor outcomes.

Association Between the Concentration and Rangeability of Cystatin C and Mortality of COVID-19 Patients With or Without Type 2 Diabetes Mellitus: A Retrospective Analysis

BACKGROUND

We investigated if the concentration and "rangeability" of cystatin C (CysC) influenced the prognosis of coronavirus disease 2019 (COVID-19) in patients suffering from, or not suffering from, type 2 diabetes mellitus (T2DM).

METHODS

A total of 675 T2DM patients and 572 non-T2DM patients were divided into "low" and "high" CysC groups and low and high CysC-rangeability groups according to serum CysC level and range of change of CysC level, respectively. Demographic characteristics, clinical data, and laboratory results of the four groups were analyzed.

RESULTS

COVID-19 patients with a high level and rangeability of CysC had more organ damage and a higher risk of death compared with those with a low level or low rangeability of CysC. Patients with a higher level and rangeability of CysC had more blood lymphocytes and higher levels of C-reactive protein, alanine aminotransferase, and aspartate aminotransferase. After adjustment for possible confounders, multivariate analysis revealed that CysC >0.93 mg/dL was significantly associated with the risk of heart failure (OR = 2.231, 95% CI: 1.125-5.312) and all-cause death (2.694, 1.161-6.252). CysC rangeability >0 was significantly associated with all-cause death (OR = 4.217, 95% CI: 1.953-9.106). These associations were stronger in patients suffering from T2DM than in those not suffering from T2DM.

CONCLUSIONS

The level and rangeability of CysC may influence the prognosis of COVID-19. Special care and appropriate intervention should be undertaken in COVID-19 patients with an increased CysC level during hospitalization and follow-up, especially for those with T2DM.

Obesity, malnutrition, and trace element deficiency in the coronavirus disease (COVID-19) pandemic: An overview

The world is currently facing the coronavirus disease (COVID-19) pandemic which places great pressure on health care systems and workers, often presents with severe clinical features, and sometimes requires admission into intensive care units. Derangements in nutritional status, both for obesity and malnutrition, are relevant for the clinical outcome in acute illness. Systemic inflammation, immune system impairment, sarcopenia, and preexisting associated conditions, such as respiratory, cardiovascular, and metabolic diseases related to obesity, could act as crucial factors linking nutritional status and the course and outcome of COVID-19. Nevertheless, vitamins and trace elements play an essential role in modulating immune response and inflammatory status. Overall, evaluation of the patient's nutritional status is not negligible for its implications on susceptibility, course, severity, and responsiveness to therapies, in order to perform a tailored nutritional intervention as an integral part of the treatment of patients with COVID-19. The aim of this study was to review the current data on the relevance of nutritional status, including trace elements and vitamin status, in influencing the course and outcome of the disease 3 mo after the World Health Organization's declaration of COVID-19 as a pandemic.