Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19

Heterogeneity of the Immunological and Pathogenic Profiles in Patients Hospitalize Early Versus Late During an Acute Vital Illness as Shown in Native SARS-CoV-2 Infection

The immune system's response to an invading pathogen is the critical determinant in recovery from illness. Here, we hypothesize that the immune response will swiftly follow classical activation and a resolution trajectory in patients with the rapid evolution of symptoms if challenged by a viral pathogen for the first time. Alternatively, a dysregulated response will be signified by a protracted clinical trajectory. Consequently, we enrolled 106 patients during the first wave of COVID-19 and collected their blood within 24 h, 48 h, 7 days, and over 28 days from symptoms onset. The pathogenic burden was measured via serum levels of the S-spike protein and specific immunoglobulin titers against the S and N proteins of SARS-CoV-2. The nonspecific immunological response was gauged using interleukin 6, leukocytosis, and C-reactive protein. Coagulation status was assessed. Several serum biomarkers were used as surrogates of clinical outcomes. We identified four clusters depending on the onset of symptoms (immediate [A], 6 days [B], 12 days [C], and over 21 days [D]). High variability in the S-spike protein in cluster A was present. The corresponding immunoglobulin titer was random. Only procalcitonin differentiated clusters in terms of markers of nonspecific inflammation. Coagulation markers were not significantly different between clusters. Serum surrogates on cardiomyopathy and neuronal pathology exhibited significant variability. Implementation of ECMO or noninvasive ventilation was more prominent in cluster C and D. Interestingly, SOFA or APACHE II scores were not different between nominal (A and B) versus dysregulated clusters (C and D).

COVID-19 caused by the Omicron variant in lung transplant recipients: a single center case series

Background

Although coronavirus disease 2019 (COVID-19) is no longer classified as a Public Health Emergency of International Concern by World Health Organization, its global impact persists. Data on its impact in lung transplant recipients (LTRs) from China remain limited. This study aims to share clinical experiences and provide insights into managing LTRs with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

Methods

We conducted a study on LTRs with COVID-19 caused by the Omicron variant from November 17, 2022, to May 1, 2023. Clinical information was gathered retrospectively through electronic medical records, questionnaires, or follow-up telephone calls.

Results

A total of 227 LTRs were reviewed for infection with Omicron variant. After excluding 49 cases without confirmed SARS-CoV-2 infection, this left a final cohort of 178 infected LTRs, accounting for an infection rate of 78.4% (178/227). Of the patients, 50% (89/178) required hospitalization, with an average hospital stay of 16 days [interquartile range (IQR): 9.5-25.5 days]. Of the 89 hospitalized patients, 41.6% (37/89) eventually progressed to severe or critical disease, forming the severe/critical group (S/C group), while the remaining 58.4% (52/89) had mild or moderate disease (M/M group). In comparison to the M/M group, the S/C group had higher C-reactive protein (CRP) (59.6 vs. 16.8 mg/L, P<0.001), Erythrocyte sedimentation rate (45.5 vs. 22.5 mm/h, P=0.005) and D-dimer level (1.09 vs. 0.65 mg/L, P=0.01), but lower CD4+ T lymphocytes count (217 vs. 427 cells/µL, P=0.004). The S/C group had significantly higher rates of combined pulmonary bacterial infection (67.6% vs. 38.5%, P=0.006) and pulmonary fungal infection (73.0% vs. 38.5%, P=0.001) during the course of COVID-19, nearly double that of the M/M group. In a multivariate logistic analysis, elevated CRP (>41.8 mg/L), combined pulmonary fungal infection, and interstitial lung disease (ILD) as primary disease emerged as high-risk factors for developing the severe disease phenotype following Omicron variant infection in LTRs, with respective odds ORs values of 4.23 [95% confidence interval (CI): 1.68-11.23], 4.76 (95% CI: 1.59-15.64), and 5.13 (95% CI: 1.19-29.17). Receiver operating characteristic (ROC) curve analysis showed that CD4+ T lymphocyte count may be a strong marker for predicting death. At a cutoff of 404 cells/µL, sensitivity was 0.509, specificity 0.999, and area under the curve (AUC) was 0.806 (95% CI: 0.678-0.934). Ultimately, 13 recipients succumbed to COVID-19 related respiratory failure or secondary multiple organ dysfunction, resulting in an overall mortality rate of 7.3% (13/178).

Conclusions

LTRs are at high risk of secondary lung infections after Omicron. Key risk factors for severe disease include CRP >41.8 mg/L, ILD as primary disease, and pulmonary fungal infection. CD4+ T lymphocyte count may predict mortality risk in LTRs with COVID-19.

Trimethylamine N-oxide as a potential prognostic biomarker for mortality in patients with COVID-19 disease

PURPOSE

Trimethylamine N-oxide (TMAO) is suggested as a biomarker for inflammatory and cardiovascular diseases which are identified as risk factors for severe cases of coronavirus disease 2019 (COVID-19). Our primary aim was to assess prognostic potential of serum TMAO levels in predicting COVID-19-related mortality. The secondary aim was to examine the potential of various biochemical parameters, particularly those associated with inflammation or thrombosis, as predictors of mortality.

PATIENTS AND METHODS

In this prospective and single-centre study, COVID-19 patients were categorized as death (group 1) or discharged (group 2) based on their in-hospital mortality status. The characteristics of participants were documented, and clinical data, including TMAO, angiotensin-converting enzyme-2 (ACE2), and neutrophil to lymphocyte ratio (NLR), were determined. The association of these independent variables with the COVID-19-related mortality, was assessed by calculation of crude odds ratios (OR) in bivariate and logistic regression analysis. Receiver operation characteristic (ROC) analysis was used for cut-off values.

RESULTS

The serum levels of TMAO, ACE2 and NLR were markedly higher in group 1 on the days of hospital admission (p ​< ​0.05, p ​< ​0.05, and p ​< ​0.01, respectively). Serum TMAO levels (OR 1.422; 95 ​% CI [1.067-1.894]; p ​= ​0.016) and NLR (OR 1.166; 95 ​% CI [1.012-1.343]; p ​= ​0.033) were determined as independent predictors for COVID-19-related mortality with after multivariate logistic regression analysis. The optimal cut-off values were detected as 7.9 ​ng/ml for TMAO (71 ​% sensitivity, 68 ​% specificity, AUC ​= ​0.701).

CONCLUSIONS

The findings of this initial study indicate that serum TMAO levels and NLR may be useful in predicting mortality in the early stages of COVID-19.

A Systematic Review of Case Reports of New-Onset Atrial Fibrillation in COVID-19 Patients

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic posed a significant global public health challenge, affecting millions of individuals. While some COVID-19 patients remain asymptomatic, others experience severe complications, including multiorgan failure and death. Emerging evidence indicates that COVID-19 is associated with substantial cardiovascular complications, notably an increased risk of arrhythmias, with atrial fibrillation (AF) being particularly prevalent among hospitalized patients. This review analyzes case reports of new-onset AF in COVID-19 patients, synthesizing data on patient demographics, comorbidities, clinical presentations, and outcomes. The cases reviewed indicate that affected patients were predominantly male, covered a broad age range, and frequently had underlying conditions such as hypertension, type 2 diabetes mellitus, and hyperlipidemia. The main outcomes observed included a high incidence of severe complications such as ischemic stroke, acute respiratory failure, myocarditis, and heart failure. Mortality rates were notably elevated among patients with COVID-19-related AF, particularly in those requiring intensive care or mechanical ventilation. The findings emphasize the significant cardiovascular burden of COVID-19, with a focus on its association with increased AF risk. By integrating case-based evidence, this review highlights the complex interplay between COVID-19 and AF, underscoring the need for early recognition and targeted treatment strategies to mitigate cardiovascular complications and improve patient outcomes in this vulnerable population.

The effect of SARS-CoV-2 Omicron BA. 5.2 infection on perioperative physiological indicators in orthopedic patients

OBJECTIVE

The aim of this study was to investigate the effect of SARS-CoV-2 Omicron BA. 5.2 (hereafter referred to as Omicron BA. 5.2) infection on perioperative physiological indices and to provide clinical considerations for the precautions needed for patients who tested negative for SARS-CoV-2 infection perioperatively.

METHODS

Patients who underwent time-limited surgery (surgery that must be performed within a certain time) at the Department of Orthopedics of our hospital from September 1, 2022, to March 31, 2023, were divided into an observation group (those with Omicron BA 5.2 and a negative nucleic acid test after December 7, 2022, n = 100) and a control group (those negative for SARS-CoV-2 infection before December 7, 2022, n = 100). Changes in the following factors were compared within and between the two groups: heart rate, mean arterial pressure, oxygenation index at the time of entry into the operating room, incision of the skin and exit from the operating room and the neutrophil‒lymphocyte ratio (NLR), platelet‒lymphocyte ratio (PLR), systemic immune inflammation index (SII), D-dimer level, and fibrinogen degradation product (FDP) level. Changes in interleukin-6 and calcitonin levels were assessed the day after surgery, and multivariate regression analysis of the meaningful results was conducted.

RESULTS

Heart rate, mean arterial pressure, oxygenation index, NLR, PLR, SII, interleukin-6 and calcitonin were similar between the two groups (P > 0.05). The observation group had higher postoperative D-dimer and FDP levels (P < 0.05). Multivariate regression analysis revealed that Omicron BA 5.2 infection, older age and a history of cerebral infarction were associated with increased D-dimer and FDP levels, and their odds ratios (ORs) and confidence intervals are 3.339 [95% CI, 1.372-8.419], P = 0.008; OR, 1.080 [95% CI, 1.023-1.139]; P = 0.005; OR, 10.644 [95% CI, 1.352-83.320], P = 0.025, respectively.

CONCLUSION

Omicron BA. 5.2 Infection affects the perioperative coagulation function of orthopedic patients, thereby inducing a hypercoagulable state characterized by significant elevations in D-dimer and FDP levels and increasing the risk of venous thrombosis. This infection had no obvious effect on other physiological indices. Early surgery is feasible, but thrombotic events need to be considered.

Utility of plasma nucleocapsid protein in predicting severity and prognosis in severe COVID-19 patients with comorbidities

OBJECTIVES

The COVID-19 pandemic poses ongoing challenges to global public health systems, emphasizing the critical necessity for efficient diagnostic and prognostic markers. This study evaluates the MAGLUMI® SARS-CoV-2 Ag N protein chemiluminescent immunoassay (MAG-CLIA) for its analytical performance and its role in predicting disease severity and prognosis among severe COVID-19 patients with comorbidities.

METHODS

Analytical validation of plasma MAG-CLIA SARS-CoV-2 Ag N protein encompassed precision, interference, LoQ and linearity. Plasma N protein concentrations and other biomarkers were measured within 48 h of admission, tracked until discharge or death. The Mann-Whitney U test explored the association between plasma N protein and COVID-19 severity or prognosis. Longitudinal monitoring of plasma N protein dynamics was conducted in representative patients.

RESULTS

MAG-CLIA demonstrated precise quantification of plasma N protein with a CV below 10 % and minimal interference. The LoQ was 0.88 ng/L, with a broad linear range. Plasma N protein showed high diagnostic accuracy for COVID-19, achieving 95.42 % specificity and 78.32 % sensitivity at 2.388 ng/L. Plasma N protein emerged as a valuable prognostic indicator, correlating with mechanical ventilation need and patient survival. Plasma N protein concentrations ≥ 424.3 ng/L (AUC 0.8102, sensitivity 78.38 %, specificity 85.48 %) were associated with poor prognosis in severe COVID-19 patients with comorbidities.

CONCLUSIONS

MAG-CLIA's SARS-CoV-2 N protein detection in plasma demonstrates both analytical reliability and clinical relevance in our inaugural evaluation. As a promising prognostic biomarker for severe COVID-19 patients, it offers crucial insights into disease severity and progression, emphasizing the significance of early monitoring and intervention, especially for patients with comorbidities.

Extracellular acyl-CoA-binding protein as an independent biomarker of COVID-19 disease severity

Background

Factors leading to severe COVID-19 remain partially known. New biomarkers predicting COVID-19 severity that are also causally involved in disease pathogenesis could improve patient management and contribute to the development of innovative therapies. Autophagy, a cytosolic structure degradation pathway is involved in the maintenance of cellular homeostasis, degradation of intracellular pathogens and generation of energy for immune responses. Acyl-CoA binding protein (ACBP) is a key regulator of autophagy in the context of diabetes, obesity and anorexia. The objective of our work was to assess whether circulating ACBP levels are associated with COVID-19 severity, using proteomics data from the plasma of 903 COVID-19 patients.

Methods

Somalogic proteomic analysis was used to detect 5000 proteins in plasma samples collected between March 2020 and August 2021 from hospitalized participants in the province of Quebec, Canada. Plasma samples from 903 COVID-19 patients collected during their admission during acute phase of COVID-19 and 295 hospitalized controls were assessed leading to 1198 interpretable proteomic profiles. Levels of anti-SARS-CoV-2 IgG were measured by ELISA and a cell-binding assay.

Results

The median age of the participants was 59 years, 46% were female, 65% had comorbidities. Plasma ACBP levels correlated with COVID-19 severity, in association with inflammation and anti-SARS-CoV-2 antibody levels, independently of sex or the presence of comorbidities. Samples collected during the second COVID-19 wave in Quebec had higher levels of plasma ACBP than during the first wave. Plasma ACBP levels were negatively correlated with biomarkers of T and NK cell responses interferon-γ, tumor necrosis factor-α and interleukin-21, independently of age, sex, and severity.

Conclusions

Circulating ACBP levels can be considered a biomarker of COVID-19 severity linked to inflammation. The contribution of extracellular ACBP to immunometabolic responses during viral infection should be further studied.

The utility of procalcitonin as a biomarker of hospital-acquired infection in severe COVID-19

Background

Hospital-acquired infection (HAI) in patients with COVID-19 admitted to the intensive care unit (ICU) is associated with increased mortality. The 'cytokine storm' associated with COVID-19 leads to extreme elevation of inflammatory biomarkers, including C-reactive protein (CRP). Procalcitonin (PCT) has been shown to be more discriminative than CRP in distinguishing HAI from other inflammatory processes.

Objectives

To investigate the utility of PCT in detecting HAI in patients with severe COVID-19.

Methods

Clinical and laboratory data from all patients admitted to a dedicated ICU with confirmed severe COVID-19 from 1 April 2020 to 31 August 2020 were prospectively captured. HAI was confirmed by serial PCT and CRP measurements, as well as microbiological data (positive microbiological cultures in clinical context). Data from patients who were on antibiotics on ICU admission, had a positive culture for a presumed pathogen during the first 48 hours of ICU admission, or already had suspected or proven HAI on admission were excluded. Optimal cut-offs with the highest sensitivity and specificity were determined. The discriminative power of PCT was assessed for each outcome, using receiver operating characteristic (ROC) analysis describing the area under the curve. Similarly, negative predictive values (NPVs) and positive predictive values (PPVs) were determined. The sensitivity and specificity for different PCT cut-off levels were calculated.

Results

Of 92 patients, 35 had confirmed HAI, which was significantly associated with mechanical ventilation (p<0.001) and mortality (p<0.001). ROC analysis demonstrated that a threshold PCT level of 0.22 μg/L resulted in 97% sensitivity and 40% specificity for predicting HAI. Similarly, sensitivity and specificity for CRP were 91.4% and 38.6%, respectively, when the CRP level was 133 mg/L. In patients with a PCT level <0.25 μg/L, the NPV was 92%, whereas for PCT levels >1.00 μg/L, the PPV was >50%. For PCT levels >40 μg/L, the PPV was 100%.

Conclusion

During HAI, PCT levels >1.00 μg/L had a moderate PPV of 52%, whereas levels <0.26 μg/L ruled out HAI with an NPV of 92%. With increased PCT values, the PPV rose to 100%, making it a better biomarker than CRP.

Study synopsis

What the study adds. During an episode of hospital-acquired infection (HAI) in patients with severe COVID-19, procalcitonin (PCT) levels >1.00 μg/L had a moderate positive predictive value (PPV) of 52%, whereas levels <0.26 μg/L had a negative predictive value (NPV) of 92% for proven HAI. For PCT levels >40 μg/L, the PPV was 100%.Implications of the findings. At levels <0.26 μg/L, PCT had an NPV >90%. This 'rule-out' characteristic of PCT may be especially valuable in scenarios of diagnostic equipoise with regard to the presence of bacterial co-infection. Clinicians should take care to not unjustifiably associate elevations in PCT levels with the presence of bacterial co-infection, unless levels are extremely high, in which case the PPV rises significantly.

Dual Viral Infections and Para-Pneumonic Effusion in a Pediatric Patient: A Case of Respiratory Syncytial Virus and COVID-19 Complication

Para-pneumonic effusion in children is often associated with bacterial infections; however, dual viral infections, including respiratory syncytial virus (RSV) and COVID-19, can also lead to severe respiratory complications, as demonstrated in this case. This case report presents the clinical course of a pediatric patient with both RSV and COVID-19 infections, leading to para-pneumonic effusion.  A three-year-old girl with a history of asthma and prior febrile convulsions presented to the Emergency Department with fever, cough, vomiting, and fatigue. Chest X-ray revealed left-sided pleural effusion. Initial laboratory results showed elevated inflammatory markers, including a white blood cell count of 22 x 109/L, C-reactive protein (CRP) of 319 mg/L, and procalcitonin of 3.9 ng/mL. Nasal swab polymerase chain reaction confirmed RSV and COVID-19 co-infection. The patient was treated with intravenous ceftriaxone, azithromycin (to cover atypical pathogens), vancomycin (to address possible MRSA [methicillin-resistant Staphylococcus aureus]), and corticosteroids to manage severe inflammation with COVID-19. Following a six-day stay in the Pediatric Intensive Care Unit (PICU) for respiratory support and intravenous therapy, the patient showed significant clinical improvement. Serial imaging demonstrated a reduction in pleural effusion, and inflammatory markers decreased markedly. The patient was discharged after 29 days of hospitalization on oral antibiotics, in stable condition, with a follow-up scheduled. This case underscores the potential severity of dual viral infections in pediatric patients and the importance of prompt diagnosis and comprehensive management to prevent complications such as para-pneumonic effusion.

Neuropsychiatric Burden of SARS-CoV-2: A Review of Its Physiopathology, Underlying Mechanisms, and Management Strategies

The COVID-19 outbreak, caused by the SARS-CoV-2 virus, was linked to significant neurological and psychiatric manifestations. This review examines the physiopathological mechanisms underlying these neuropsychiatric outcomes and discusses current management strategies. Primarily a respiratory disease, COVID-19 frequently leads to neurological issues, including cephalalgia and migraines, loss of sensory perception, cerebrovascular accidents, and neurological impairment such as encephalopathy. Lasting neuropsychological effects have also been recorded in individuals following SARS-CoV-2 infection. These include anxiety, depression, and cognitive dysfunction, suggesting a lasting impact on mental health. The neuroinvasive potential of the virus, inflammatory responses, and the role of angiotensin-converting enzyme 2 (ACE2) in neuroinflammation are critical factors in neuropsychiatric COVID-19 manifestations. In addition, the review highlights the importance of monitoring biomarkers to assess Central Nervous System (CNS) involvement. Management strategies for these neuropsychiatric conditions include supportive therapy, antiepileptic drugs, antithrombotic therapy, and psychotropic drugs, emphasizing the need for a multidisciplinary approach. Understanding the long-term neuropsychiatric implications of COVID-19 is essential for developing effective treatment protocols and improving patient outcomes.

Clinical characteristics of diabetes patients complicated with COVID-19

Patients with both diabetes and coronavirus disease 2019 (COVID-19) are more likely to experience negative outcomes. This study aimed to identify the risk factors associated with these adverse outcomes that can assist clinicians in implementing suitable treatment strategies to minimize the occurrence of severe complications. A total of 92 patients with diabetes and COVID-19 in the Endocrine Department of Zhejiang Provincial Hospital of Chinese Medicine from December 2022 to February 2023 were enrolled and divided into the recovered group and the transfer to the intensive care unit (ICU) or death group. The clinical characteristics and infection indicators were compared between the 2 groups. Additionally, the patients were further divided into the normal group and the reduction group based on their glomerular filtration rate (GFR), and their clinical characteristics and infection indicators were also analyzed. Compared with the GFR normal group, the GFR reduction group exhibited worse outcomes, higher COVID-19 severity, a higher proportion of mechanical ventilation, and a longer hospital stay. However, there were no significant differences in leukocyte, lymphocyte, and neutrophil counts between these 2 groups. Compared with the recovered group, the transfer to ICU or death group demonstrated an increase in leukocytes and neutrophils, while lymphocytes decreased (P < .05). The C-reactive protein, procalcitonin, interleukin-6, and serum amyloid A levels in the transfer to ICU or death group were significantly higher than those in the Recovered group (P < .05). In addition, C-reactive protein, procalcitonin, and serum amyloid A levels in the GFR reduction group were significantly higher than those in the normal group (P < .05), while interleukin-6 levels were only slightly higher (P > .05). In clinical treatment, it is necessary to monitor infection indicators and GFR closely and intervene in time to reduce the occurrence of adverse events.

Early Elevated Inflammatory Markers in SARS-CoV-2 Vaccinated Patients Are Associated with Reduced Mortality, Morbidity, and Lung Injury

Background The development of vaccines against SARS-CoV-2 has proved to be a highly successful strategy. In this work, the aim is to study the effects of the SARS-CoV-2 vaccine on the production of inflammatory markers and how this affect morbidity and mortality. Electronic medical record (EMR) data from 210 patients diagnosed with COVID-19 from November 2020 to June 2021 were collected. The admitted patients were divided into three groups, the one-dose vaccinated, two-dose vaccinated, and the non-vaccinated. All patients were moderate or severe in disease level as defined by the WHO classification. The results show that CRP was 101 ± 5.3, 97 ± 10.8, and 145 ± 17.3 (p < 0.05), fibrinogen 529 ± 16.3, 397 ± 33.8, and 610 ± 15 (p < 0.05), D-dimer 1244 ± 89, 1279 ± 297, and 1615 ± 224 (p < 0.05), ferritin was 1170 ± 122, 999 ± 202, and 1663 ± 409 (p < 0.05), IL-6 was 196 ± 12, 96 ± 5, and 580 ± 402 (NS), for the non-vaccinated, one-dose vaccinated, and two-dose vaccinated groups, respectively. The high level of CRP up to 150-200 mg/dL was more common among the surviving vaccinated patients. Oxygen supplementation, mechanical ventilation, and mortality were higher in the non-vaccinated group. Blood urea nitrogen (BUN) level was higher in the vaccinated patients, 25 ± 0.14 vs. 33 ± 6.15, respectively (p < 0.05). Inflammation markers were significantly higher in the vaccinated groups compared to non-vaccinated groups. On the other hand, extremely high levels of CRP (>200 mg/dL) were correlated with high mortality incidence.

The Influence of COVID-19 on Antimicrobial Resistance Trends at a Secondary Care Hospital in Slovenia: An Interrupted Time Series Analysis

Background/Objectives. Our study aimed to determine the development of antibiotic resistance during the peri-pandemic period in a regional secondary care hospital using an interrupted time series analysis. Methods. We analyzed data from seven years, accounting for 441,149 patient days. The incidence density of multidrug-resistant bacteria (MDR) burden and infection was reported per 1000 patient days. Results. During the COVID-19 period, a significant increase in the mean incidence density of the total MDR burden from 4.93 to 5.81 per 1000 patient days was observed (p = 0.007). On the other hand, the mean incidence density of MDR infections decreased from 1.61 to 1.29 per 1000 patient days (p = 0.019). Using the interrupted time series analysis, the same trends were observed, namely the overall increasing trend in MDR burden and the overall decreasing trend in MDR infections. This divergent trend is mainly due to similar trends in several Gram-negative MDR, namely ESBL-EC, ESBL-KP and CRE. Conclusions. Due to the increasing burden of MDR, it is necessary to strengthen AMR surveillance. In addition, strict infection prevention and control measures, and antimicrobial stewardship programs continue to be important components in the fight against resistant bacteria.

Evaluation of Inflammatory Markers in Patients with COVID-19 Combined with Type 2 Diabetes Mellitus

Purpose

To explore the value of different inflammatory markers in predicting the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM).

Patients and Methods

A total of 116 patients with COVID-19 in patients with T2DM were collected from December 2022 to March 2023 and were divided into a mild case group (77 cases) and a severe case group (39 cases). The ratio of neutrophil to lymphocyte (NLR), platelet-to-lymphocyte ratio (PLR), neutrophil to lymphocyte × platelet ratio (NLPR), lymphocyte ratio to monocyte (LMR), systemic inflammatory response index (SIRI), systemic inflammatory index (SII), systemic inflammatory composite index (AISI), procalcitonin (PCT), C-reactive protein (CRP) and lactate dehydrogenase (LDH) were compared between the two groups. The screening effect of each variable on the progression of the disease was analyzed using receiver operating characteristic (ROC) curves.

Results

NLR, PLR, NLPR, MLR, SIRI, SII, AISI, LDH, CRP and PCT in severe case group were higher than those in mild case group (P<0.05), and LMR was lower than those in mild case group (P<0.05). ROC curve analysis further demonstrated the diagnostic performance of these biomarkers, with PCT having the largest area under the ROC curve (AUCROC) of 0.83.

Conclusion

NLR, PLR, NLPR, SIRI, SII, LDH, CRP and PCT demonstrate greater reliability in diagnostic value and clinical utility for predicting the severity of COVID-19 in patients with T2DM.

Evaluating Muscle Damage Biomarkers in Adolescent Athletes: Implications for Public Health in Tacna, Peru-2023

The success of an athlete is influenced by various factors, including nutritional status, physical condition, training level, recovery, psychological factors, and genetics. Studies on athletes often take a preventive approach to evaluate muscle fatigue caused by intense physical exercise, which can impair performance, particularly in soccer players. This study aims to determine the serum levels of biochemical markers of muscle damage in adolescents from sports centers in the city of Tacna. A sample of 326 adolescents who met the inclusion and exclusion criteria was analyzed for muscle damage markers, including CRP, LDH, CK-total, and CK-MB, to assess potential skeletal muscle injury. The results were as follows: for the LDH test, 2.5% had low-level values, 91.4% had values within the normal range, and 6.1% had high values; for the CK-total test, 74.8% were within normal limits, and 25.2% had elevated values; for the CK-MB test, 99.1% had normal values, and 0.9% had elevated values; and for the CRP test, 95.7% were negative, and 4.3% were positive. According to the CK-MB/CK relative index, 7.1% of adolescents were suspected of having muscle damage. This study concludes that there are alterations in the biochemical markers of muscle damage in adolescents from the sports centers in Tacna.

A Study of Hydroelectrolytic and Acid-Base Disturbances in MIS-C Patients: A Perspective on Antidiuretic Hormone Secretion

COVID-19-associated multisystem inflammatory syndrome in children (MIS-C) is a rare autoimmune disorder characterized by a range of polymorphic manifestations, similar to but distinct from other well-known inflammatory syndromes in children. We conducted a retrospective-descriptive study in which we summarized the clinical presentation of, biomarker variations in, and complications occurring in patients diagnosed with MIS-C, admitted to the Emergency Clinical Hospital for Children "Sf. Ioan", Galati, between July 2020 and June 2024. A total of 36 children met the MIS-C classification criteria according to the WHO-approved case definitions. A total of 41.7% (n = 15) were male and 58.3% (n = 21) were female. The median age of the study group was 4 years (IQR: 1.75-9.25 years). Surgical involvement was suspected in 16.7% (n = 6) of the patients, while 52.8% (n = 19) required intensive care. Clinically, fever was the most common symptom present in 89% (n = 32) of the cases. Gastrointestinal disorders were also common, with 50% (n = 18) presenting with inappetence, 42% (n = 15) with vomiting, and 39% (n = 14) with abdominal pain from admission, which worsened over time. Paraclinically, all patients exhibited signs of inflammation, and 86.1% (n = 31) had hydroelectrolytic and acid-base imbalances. The median hospital stay was 10 days (IQR: 7-12 days), with a stagnant clinical course in most cases. The inflammatory mechanisms in MIS-C, which can affect the secretion of antidiuretic hormone (ADH), were correlated with hydroelectrolytic disturbances and may lead to severe complications. For this reason, it is imperative to evaluate hydroelectrolytic disorders in the context of MIS-C and use diagnostic and prognostic biomarkers to develop effective therapeutic management strategies, ultimately improving the quality of life of affected children.

Utilizing press needle acupuncture to treat mild-to-moderate COVID-19: A single-blind, randomized controlled trial

BACKGROUND

In China, acupuncture has been employed as an adjunctive therapy for coronavirus disease 2019 (COVID-19). Press needle acupuncture is a special type of acupuncture that provides prolonged stimulation to acupuncture points and simultaneously reduces the pain associated with traditional acupuncture. This study assessed the effectiveness of integrating press needles alongside pharmacologic treatment in patients with mild-to-moderate COVID-19.

METHODS

Patients hospitalized with mild-to-moderate COVID-19 symptoms between December 2022 and January 2023 were included in the study. The enrolled patients were randomly assigned to receive pharmacologic treatment alone (control group) or both pharmacologic treatment and press needle acupuncture (intervention group). Patients were evaluated for clinical outcomes, including symptom scores, deterioration rates, fever durations, and nucleic acid test results. The patients' complete blood count and C-reactive protein levels were also analyzed using venous blood samples both before and after treatment.

RESULTS

Both groups exhibited a reduction in clinical symptom scores, but symptoms regressed faster in the intervention group. Nucleic acid test negativity was achieved faster in the intervention group than in the control group. The intervention group also had a lower deterioration rate. Furthermore, the increase in the lymphocyte count and decrease in C-reactive protein levels following treatment were more pronounced in the intervention group than in the control group.

CONCLUSION

This study suggests that utilizing press needle acupuncture as an adjunct to pharmacologic treatment can be effective in patients with mild-to-moderate COVID-19 symptoms.

DNA Damage in Moderate and Severe COVID-19 Cases: Relation to Demographic, Clinical, and Laboratory Parameters

The ability of the SARS-CoV-2 virus to cause DNA damage in infected humans requires its study as a potential indicator of COVID-19 progression. DNA damage was studied in leukocytes of 65 COVID-19 patients stratified by sex, age, and disease severity in relation to demographic, clinical, and laboratory parameters. In a combined group of COVID-19 patients, DNA damage was shown to be elevated compared to controls (12.44% vs. 5.09%, p < 0.05). Severe cases showed higher DNA damage than moderate cases (14.66% vs. 10.65%, p < 0.05), and males displayed more damage than females (13.45% vs. 8.15%, p < 0.05). DNA damage is also correlated with international normalized ratio (INR) (r = 0.471, p < 0.001) and creatinine (r = 0.326, p < 0.05). In addition to DNA damage, severe COVID-19 is associated with age, C-reactive protein (CRP), and creatinine. Receiver operating characteristic analysis identified age, INR, creatinine, DNA damage, and CRP as significant predictors of disease severity, with cut-off values of 72.50 years, 1.46 s, 78.0 µmol/L, 9.72%, and 50.0 mg/L, respectively. The results show that DNA damage correlates with commonly accepted COVID-19 risk factors. These findings underscore the potential of DNA damage as a biomarker for COVID-19 severity, suggesting its inclusion in prognostic assessments to facilitate early intervention and improve patient outcomes.

Non-Conventional Prognostic Markers in Life-Threatening COVID-19 Cases-When Less Is More

Background/Objectives: In this study, we aimed to compare the predictive power of non-conventional (neutrophil/lymphocyte ratio-NLR; platelet/lymphocyte ratio-PLR) and conventional markers (C-reactive protein-CRP; procalcitonin-PCT; interleukin-6-IL-6) in terms of disease progression and mortality in severe SARS-CoV-2 patients. Methods: In this prospective observatory study, blood samples were collected daily, focusing on the established inflammatory markers. Critically ill COVID-19 patients who required ICU admission were included. Patient treatment followed established COVID-19 protocols, and the data analysis was performed using SPSS with non-normal distribution methods. The study cohort primarily included patients infected with the delta variant. Results: A mortality rate of 76.6% was observed among 167 patients during the study period. Significant differences in conventional and non-conventional markers between survivor and non-survivor groups were observed. The PCT levels were significantly elevated (p < 0.005) in the deceased group. Among the non-conventional markers, the NLR was consistently higher in non-survivors and emerged as a significant predictor of mortality, whereas the PLR was not elevated among the non-survivors. ROC analyses indicated that PCT and the NLR were the markers with the highest predictive power for mortality. The multivariate logistic regression analysis identified NLR, PCT, CRP, and IL-6 as significant predictors of mortality across different days. The NLR showed a consistent, though not always statistically significant, association with increased mortality risk, particularly on Days 2 and 5. Conclusions: The NLR's accessibility and simplicity of determination make it a valuable and practical tool for monitoring inflammatory processes in viral infections. Our findings suggest that incorporating NLR analysis into routine clinical practice could enhance the early identification of high-risk patients, thereby improving patient management and outcomes.

Acute-phase proteins as indicators of disease severity and mortality in COVID-19 patients

The aim of the study was to conduct of relationship of acute-phase proteins (APPs) with the severity of COVID-19 defined by National Institutes of Health and according to the criteria of MEWS scale, with the presence of a cytokine storm, oxygen therapy and patient survival. We enrolled 96 patients with COVID-19 and 30 healthy people. The samples were taken on the day of admission and after 9 days on average. Not only commonly used APPs such as CRP, procalcitonin and ferritin and also rarely assayed proteins such as transferrin, haptoglobin, α1-acid glycoprotein and α1-antitrypsin, were tested in the study. The levels of APPs depends on the severity of COVID-19 disease, on the presence of cytokine storm and used oxygen therapy. The greatest APPs changes occurred in the most advanced form of the disease, with the presence of a cytokine storm and the most intense oxygen therapy. The results obtained from MEWS scale were not consistent with National Institutes of Health scores. Studies in the second samples showed the quenching of the acute phase reactions and the effectiveness of oxygen therapy. Only two of the examined APPs i.e. procalcitonin and transferrin, differed between surviving and non-surviving patients, and these two predispose to the role of prognostic factors in Covid-19. In conclusion, the concentration of not all acute-phase proteins depends on the severity of COVID-19 disease, presence of cytokine storm, the used of oxygen therapy and only some of them (procalcitonin and transferrin) are related to the survival outcomes. Of the newly tested acute-phase proteins, only transferrin shows significance as a marker of disease severity and mortality in COVID-19 disease.

A Retrospective Study: Evaluating the Impact of the COVID-19 Pandemic on Inflammatory Markers in Hospitalized Patients

BACKGROUND

The COVID-19 pandemic has had a significant impact globally, and understanding the relationship between inflammatory markers and disease progression is crucial for effective management. This retrospective study aimed to examine the association between various inflammatory markers, such as C-reactive protein (CRP), the erythrocyte sedimentation rate (ESR), lactate dehydrogenase (LDH), D-dimer, ferritin, and procalcitonin (PCT), and the characteristics of disease progression and outcomes in individuals affected by COVID-19.

METHODS

This study collected raw data from 470 patients who tested positive for SARS-CoV-2 using RT-PCR.

RESULTS

The logistic regression analysis revealed that elevated LDH levels were associated with male gender, ICU admission, low oxygen saturation (O2 < 93%), the need for mechanical ventilation, death, and the presence of lung infiltrates. Higher D-dimer levels were associated with older age, diabetes mellitus, cardiac disease, and low oxygen saturation. Ferritin levels were significantly associated with older age, ICU admission, low oxygen saturation, mechanical ventilation, and lung infiltrates. In contrast, CRP was only significant regarding lung infiltrates and procalcitonin levels were not significantly associated with any of the examined factors.

CONCLUSION

This study highlights the importance of monitoring key inflammatory markers, such as LDH, D-dimer, and ferritin, as they are significantly associated with the severity of COVID-19 illness. These findings can inform clinical decision-making and guide the development of targeted interventions to improve patient outcomes.

Using virtual patient cohorts to uncover immune response differences in cancer and immunosuppressed COVID-19 patients

The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) resulted in millions of deaths globally. Adults with immunosuppression (e.g., solid organ transplant recipients) and those undergoing active cancer treatments experience worse infections and more severe COVID-19. It is difficult to conduct clinical studies in these populations, resulting in a restricted amount of data that can be used to relate mechanisms of immune dysfunction to COVID-19 outcomes in these vulnerable groups. To study immune dynamics after infection with SARS-CoV-2 and to investigate drivers of COVID-19 severity in individuals with cancer and immunosuppression, we adapted our mathematical model of the immune response during COVID-19 and generated virtual patient cohorts of cancer and immunosuppressed patients. The cohorts of plausible patients recapitulated available longitudinal clinical data collected from patients in Montréal, Canada area hospitals. Our model predicted that both cancer and immunosuppressed virtual patients with severe COVID-19 had decreased CD8+ T cells, elevated interleukin-6 concentrations, and delayed type I interferon peaks compared to those with mild COVID-19 outcomes. Additionally, our results suggest that cancer patients experience higher viral loads (however, with no direct relation with severity), likely because of decreased initial neutrophil counts (i.e., neutropenia), a frequent toxic side effect of anti-cancer therapy. Furthermore, severe cancer and immunosuppressed virtual patients suffered a high degree of tissue damage associated with elevated neutrophils. Lastly, parameter values associated with monocyte recruitment by infected cells were found to be elevated in severe cancer and immunosuppressed patients with respect to the COVID-19 reference group. Together, our study highlights that dysfunction in type I interferon and CD8+ T cells are key drivers of immune dysregulation in COVID-19, particularly in cancer patients and immunosuppressed individuals.

Impact of COVID-19 infection on the in-hospital outcome of patients hospitalized for heart failure with comorbid atrial fibrillation: Insight from the National Inpatient Sample (NIS) database 2020

Introduction

Atrial fibrillation (AF) and heart failure (HF) commonly coexist, resulting in adverse health and economic consequences such as declining ventricular function, heightened mortality, and reduced quality of life. However, limited information exists on the impact of COVID-19 on AF patients that hospitalized for HF.

Methods

We analyzed the 2020 U.S. National Inpatient Sample to investigate the effects of COVID-19 on AF patients that primarily hospitalized for HF. Participants aged 18 and above were identified using relevant ICD-10 CM codes. Adjusted odds ratios for outcomes were calculated through multivariable logistic regression. The primary outcome was inpatient mortality, with secondary outcomes including system-based complications.

Results

We identified 322,090 patients with primary discharge diagnosis of HF with comorbid AF. Among them, 0.73% (2355/322,090) also had a concurrent diagnosis of COVID-19. In a survey multivariable logistic and linear regression model adjusting for patient and hospital factors, COVID-19 infection was associated with higher in-hospital mortality (aOR 3.17; 95% CI 2.25, 4.47, p < 0.001), prolonged length of stay (β LOS 2.82; 95% CI 1.71, 3.93, p < 0.001), acute myocarditis (aOR 6.64; 95% CI 1.45, 30.45, p 0.015), acute kidney injury (AKI) (aOR 1.48; 95% CI 1.21, 1.82, p < 0.001), acute respiratory failure (aOR 1.24; 95% CI 1.01, 1.52, p 0.045), and mechanical ventilation (aOR 2.00; 95% CI 1.28, 3.13, p 0.002).

Conclusion

Our study revealed that COVID-19 is linked to higher in-hospital mortality and increased adverse outcomes in AF patients hospitalized for HF.

Prediction of Clinical Severity of COVID-19 Using a Combination of Heparin-Binding Protein, Interleukin-6, and C-Reactive Protein: A Retrospective Study

BACKGROUND

Systemic inflammation stands as a pivotal factor tightly interwoven with the progression of COVID-19. This study endeavors to elucidate the significance of three key inflammatory molecules, that is, heparin-binding protein (HBP), interleukin-6 (IL-6), and C-reactive protein (CRP), in assessing the severity and prognostic implications of COVID-19.

METHODS

The demographic, clinical, and laboratory data were retrospectively collected from a cohort of 214 adult patients diagnosed with COVID-19. Patients were divided into two groups: nonsevere (n = 93; 43.5%) and severe (n = 121; 56.5%). Additionally, based on their organ function, patients were categorized into nonorgan failure (n = 137) and organ failure (n = 77) groups. The levels of inflammation-related cytokines were then compared among these defined groups.

RESULTS

The severe group was characterized by a higher proportion of males, older age, and longer hospital stays compared to nonsevere cases. Additionally, severe cases exhibited a higher prevalence of underlying diseases and organ failure. Statistical analysis revealed significantly elevated levels of HBP, IL-6, and CRP in the severe group. HBP, IL-6, and CRP were identified as independent risk factors for severe COVID-19. Furthermore, a combined assessment of these biomarkers demonstrated superior diagnostic sensitivity (85.10%) and specificity (95.70%) for predicting COVID-19 severity. A positive relationship between elevated HBP, IL-6, and CRP levels and impaired organ function was also observed. The predictive efficiency significantly increased (hazard ratio = 3.631, log-rank p = 0.003) when two or more of them were combinedly used. Notably, elevated levels of HBP, IL-6, and CRP were associated with an increased risk of mortality.

CONCLUSIONS

In conclusion, the combined assessment of HBP, IL-6, and CRP offers enhanced accuracy and specificity in predicting the severity, organ failure, and mortality risk associated with COVID-19.

Anti-inflammatory therapy with nebulized dornase alfa for severe COVID-19 pneumonia: a randomized unblinded trial

Background

Prinflammatory extracellular chromatin from neutrophil extracellular traps (NETs) and other cellular sources is found in COVID-19 patients and may promote pathology. We determined whether pulmonary administration of the endonuclease dornase alfa reduced systemic inflammation by clearing extracellular chromatin.

Methods

Eligible patients were randomized (3:1) to the best available care including dexamethasone (R-BAC) or to BAC with twice-daily nebulized dornase alfa (R-BAC + DA) for seven days or until discharge. A 2:1 ratio of matched contemporary controls (CC-BAC) provided additional comparators. The primary endpoint was the improvement in C-reactive protein (CRP) over time, analyzed using a repeated-measures mixed model, adjusted for baseline factors.

Results

We recruited 39 evaluable participants: 30 randomized to dornase alfa (R-BAC +DA), 9 randomized to BAC (R-BAC), and included 60 CC-BAC participants. Dornase alfa was well tolerated and reduced CRP by 33% compared to the combined BAC groups (T-BAC). Least squares (LS) mean post-dexamethasone CRP fell from 101.9 mg/L to 23.23 mg/L in R-BAC +DA participants versus a 99.5 mg/L to 34.82 mg/L reduction in the T-BAC group at 7 days; p=0.01. The anti-inflammatory effect of dornase alfa was further confirmed with subgroup and sensitivity analyses on randomised participants only, mitigating potential biases associated with the use of CC-BAC participants. Dornase alfa increased live discharge rates by 63% (HR 1.63, 95% CI 1.01-2.61, p=0.03), increased lymphocyte counts (LS mean: 1.08 vs 0.87, p=0.02) and reduced circulating cf-DNA and the coagulopathy marker D-dimer (LS mean: 570.78 vs 1656.96 μg/mL, p=0.004).

Conclusions

Dornase alfa reduces pathogenic inflammation in COVID-19 pneumonia, demonstrating the benefit of cost-effective therapies that target extracellular chromatin.

Funding

LifeArc, Breathing Matters, The Francis Crick Institute (CRUK, Medical Research Council, Wellcome Trust).

Clinical trial number

NCT04359654.

Microfluidic Immunoarray for Point-of-Care Detection of Cytokines in COVID-19 Patients

The "cytokine storm" often induced in COVID-19 patients contributes to the onset of "acute respiratory distress syndrome" (ARDS) accompanied by lung infection and damage, multiorgan failure, and even death. This large increase in pro-inflammatory cytokines in blood may be related to severity. Rapid, on-demand cytokine analyses can thus be critical to inform treatment plans and improve survival rates. Here, we report a sensitive, low-cost, semiautomated 3D-printed microfluidic immunoarray to detect 2 cytokines and CRP simultaneously in a single 10 μL serum sample in 25 min. Accuracy was validated by analyzing 80 COVID-19 patient serum samples, with results well correlated to a commercial Meso Scale protein immunoassay. Capture antibodies immobilized in detection microwells in a flat well plate-type flow chamber facilitate the immunoassay, with a programmable syringe pump automatically delivering reagents. Chemiluminescence signals were captured in a dark box with a CCD camera integrated for 30 s. This system was optimized to detect inflammation biomarkers IL-6, IFN-γ, and CRP simultaneously in blood serum. Ultralow limits of detection (LODs) of 0.79 fg/mL for IL-6, 4.2 fg/mL for CRP, and 2.7 fg/mL for IFN-γ with dynamic ranges of up to 100 pg/mL were achieved. ROC statistical analyses showed a relatively good diagnostic value related to the samples assigned WHO COVID-19 scores for disease severity, with the best results for IL-6 and CRP. Monitoring these biomarkers for coronavirus severity may allow prediction of disease severity as a basis for critical treatment decisions and better survival rates.

The long Pentraxin PTX3 serves as an early predictive biomarker of co-infections in COVID-19

BACKGROUND

COVID-19 clinical course is highly variable and secondary infections contribute to COVID-19 complexity. Early detection of secondary infections is clinically relevant for patient outcome. Procalcitonin (PCT) and C-reactive protein (CRP) are the most used biomarkers of infections. Pentraxin 3 (PTX3) is an acute phase protein with promising performance as early biomarker in infections. In patients with COVID-19, PTX3 plasma concentrations at hospital admission are independent predictor of poor outcome. In this study, we assessed whether PTX3 contributes to early identification of co-infections during the course of COVID-19.

METHODS

We analyzed PTX3 levels in patients affected by COVID-19 with (n = 101) or without (n = 179) community or hospital-acquired fungal or bacterial secondary infections (CAIs or HAIs).

FINDINGS

PTX3 plasma concentrations at diagnosis of CAI or HAI were significantly higher than those in patients without secondary infections. Compared to PCT and CRP, the increase of PTX3 plasma levels was associated with the highest hazard ratio for CAIs and HAIs (aHR 11.68 and 24.90). In multivariable Cox regression analysis, PTX3 was also the most significant predictor of 28-days mortality or intensive care unit admission of patients with potential co-infections, faring more pronounced than CRP and PCT.

INTERPRETATION

PTX3 is a promising predictive biomarker for early identification and risk stratification of patients with COVID-19 and co-infections.

FUNDING

Dolce & Gabbana fashion house donation; Ministero della Salute for COVID-19; EU funding within the MUR PNRR Extended Partnership initiative on Emerging Infectious Diseases (Project no. PE00000007, INF-ACT) and MUR PNRR Italian network of excellence for advanced diagnosis (Project no. PNC-E3-2022-23683266 PNC-HLS-DA); EU MSCA (project CORVOS 860044).

SARS-CoV-2 superinfection in CD14+ monocytes with latent human cytomegalovirus (HCMV) promotes inflammatory cascade

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of coronavirus disease 2019 (COVID-19), has posed significant challenges to global health. While much attention has been directed towards understanding the primary mechanisms of SARS-CoV-2 infection, emerging evidence suggests co-infections or superinfections with other viruses may contribute to increased morbidity and mortality, particularly in severe cases of COVID-19. Among viruses that have been reported in patients with SARS-CoV-2, seropositivity for Human cytomegalovirus (HCMV) is associated with increased COVID-19 risk and hospitalization. HCMV is a ubiquitous beta-herpesvirus with a seroprevalence of 60-90 % worldwide and one of the leading causes of mortality in immunocompromised individuals. The primary sites of latency for HCMV include CD14+ monocytes and CD34+ hematopoietic cells. In this study, we sought to investigate SARS-CoV-2 infection of CD14+ monocytes latently infected with HCMV. We demonstrate that CD14+ cells are susceptible and permissive to SARS-CoV-2 infection and detect subgenomic transcripts indicative of replication. To further investigate the molecular changes triggered by SARS-CoV-2 infection in HCMV-latent CD14+ monocytes, we conducted RNA sequencing coupled with bioinformatic differential gene analysis. The results revealed significant differences in cytokine-cytokine receptor interactions and inflammatory pathways in cells superinfected with replication-competent SARS-CoV-2 compared to the heat-inactivated and mock controls. Notably, there was a significant upregulation in transcripts associated with pro-inflammatory response factors and a decrease in anti-inflammatory factors. Taken together, these findings provide a basis for the heightened inflammatory response, offering potential avenues for targeted therapeutic interventions among HCMV-infected severe cases of COVID-19. SUMMARY: COVID-19 patients infected with secondary viruses have been associated with a higher prevalence of severe symptoms. Individuals seropositive for human cytomegalovirus (HCMV) infection are at an increased risk for severe COVID-19 disease and hospitalization. HCMV reactivation has been reported in severe COVID-19 cases with respiratory failure and could be the result of co-infection with SARS-CoV-2 and HCMV. In a cell culture model of superinfection, HCMV has previously been shown to increase infection of SARS-CoV-2 of epithelial cells by upregulating the human angiotensin-converting enzyme-2 (ACE2) receptor. In this study, we utilize CD14+ monocytes, a major cell type that harbors latent HCMV, to investigate co-infection of SARS-CoV-2 and HCMV. This study is a first step toward understanding the mechanism that may facilitate increased COVID-19 disease severity in patients infected with SARS-CoV-2 and HCMV.

Proteome analysis develops novel plasma proteins classifier in predicting the mortality of COVID-19

COVID-19 has been a global concern for 3 years, however, consecutive plasma protein changes in the disease course are currently unclear. Setting the mortality within 28 days of admission as the main clinical outcome, plasma samples were collected from patients in discovery and independent validation groups at different time points during the disease course. The whole patients were divided into death and survival groups according to their clinical outcomes. Proteomics and pathway/network analyses were used to find the differentially expressed proteins and pathways. Then, we used machine learning to develop a protein classifier which can predict the clinical outcomes of the patients with COVID-19 and help identify the high-risk patients. Finally, a classifier including C-reactive protein, extracellular matrix protein 1, insulin-like growth factor-binding protein complex acid labile subunit, E3 ubiquitin-protein ligase HECW1 and phosphatidylcholine-sterol acyltransferase was determined. The prediction value of the model was verified with an independent patient cohort. This novel model can realize early prediction of 28-day mortality of patients with COVID-19, with the area under curve 0.88 in discovery group and 0.80 in validation group, superior to 4C mortality and E-CURB65 scores. In total, this work revealed a potential protein classifier which can assist in predicting the outcomes of COVID-19 patients and providing new diagnostic directions.

Genetic Polymorphism of Interleukin-6 in Asymptomatic and ICU-Admitted COVID-19 Patients in Sulaymaniyah Province, Kurdistan Region of Iraq

Background: The global pandemic of Coronavirus Disease 2019 (COVID-19) has resulted in significant fatality rates. Clinical outcomes for affected individuals range from being asymptomatic to severe illnesses requiring intensive care unit (ICU) admission. Among the various factors contributing to the variation in clinical outcomes, host genetics play a prominent role. Interleukin-6 (IL6), a key player in immune responses, has been identified as having a crucial impact on viral infections, including the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Specifically, certain variations known as single nucleotide polymorphisms (SNPs) in the IL6 promoter region have been found to significantly influence IL6 expression and the severity of viral infections. Materials and Methods: To explore the relationship between these genetic variations and COVID-19 in asymptomatic and ICU-admitted Kurdish patients, genetic sequencing was performed to determine the genotypes of nine IL6 SNPs. Results: The study findings revealed that although the proportion of the GG genotype of rs1800795 was slightly higher in asymptomatic COVID-19 cases, the difference was not statistically significant (chi2 = 2.666, p = 0.236). Notably, Kurdish patients displayed a uniform genetic makeup (monomorphic) for the dominant alleles of rs2069830 (C), rs142759801 (C), rs2069857 (C), rs2069829 (G), rs2234683 (G), rs13447446 (T), rs527770772 (C), and rs13447445 (C). Furthermore, patients carrying the haplotype GCGGCTCCC were found to have a 0.481-fold higher likelihood of being asymptomatic with COVID-19 (p = 0.016, OR = 0.481). Conclusions: This study demonstrates that the rs1800795 SNP is not statistically associated with COVID-19 at the genotype level. However, the presence of the dominant G allele of rs1800795 in the haplotype was found to be statistically associated with asymptomatic COVID-19 patients.

Association between sequelae of COVID-19 with periodontal disease and obesity: A cross-sectional study

BACKGROUND

To assess the sequelae of coronavirus disease 2019 (COVID-19) and associated factors, such as obesity and periodontitis in adults.

METHODS

The study included 128 individuals aged ≥35 years with a history of a diagnosis of COVID-19 through real-time polymerase chain reaction (RT-PCR), from Pelotas, Brazil. Self-report sequelae from COVID-19 were defined as the primary outcome. A questionnaire containing sociodemographic, medical, behavioral and self-report of sequelae of COVID-19 was applied. A complete periodontal clinical examination was performed. Weight and height were assessed. Uni-, bi- and multivariate analyses were performed using Poisson regression with robust variance. Additional analyses were performed considering obesity as a subgroup.

RESULTS

When considering the whole sample, no statistically significant associations between sequelae of COVID-19 with periodontitis (prevalence ratio [PR]:1.14;95% confidence interval [95%CI]: 0.80-1.61) and obesity (0.93 [0.68-1.26]) were identified. In the subgroup analysis, considering only individuals with obesity, those diagnosed with generalized periodontitis had 86% higher probability to have sequelae of COVID-19 when compared to individuals with periodontal health or localized periodontitis. However, when only those without obesity were considered, no significant association with periodontal status was detected (0.82 [0.55-1.23). No significant association with periodontal status were observed when the severity of sequelae (no sequelae, 1 sequela, and >1 sequela) were considered (p > 0.05).

CONCLUSIONS

Individuals diagnosed with obesity and periodontitis have a higher PR of reporting sequelae from COVID-19 compared to individuals with only obesity.

Can Biomarkers Correctly Predict Ventilator-associated Pneumonia in Patients Treated With Targeted Temperature Management After Cardiac Arrest? An Exploratory Study of the Multicenter Randomized Antibiotic (ANTHARTIC) Study

IMPORTANCE

Ventilator-associated pneumonia (VAP) frequently occurs in patients with cardiac arrest. Diagnosis of VAP after cardiac arrest remains challenging, while the use of current biomarkers such as C-reactive protein (CRP) or procalcitonin (PCT) is debated.

OBJECTIVES

To evaluate biomarkers' impact in helping VAP diagnosis after cardiac arrest.

DESIGN SETTING AND PARTICIPANTS

This is a prospective ancillary study of the randomized, multicenter, double-blind placebo-controlled ANtibiotherapy during Therapeutic HypothermiA to pRevenT Infectious Complications (ANTHARTIC) trial evaluating the impact of antibiotic prophylaxis to prevent VAP in out-of-hospital patients with cardiac arrest secondary to shockable rhythm and treated with therapeutic hypothermia. An adjudication committee blindly evaluated VAP according to predefined clinical, radiologic, and microbiological criteria. All patients with available biomarker(s), sample(s), and consent approval were included.

MAIN OUTCOMES AND MEASURES

The main endpoint was to evaluate the ability of biomarkers to correctly diagnose and predict VAP within 48 hours after sampling. The secondary endpoint was to study the combination of two biomarkers in discriminating VAP. Blood samples were collected at baseline on day 3. Routine and exploratory panel of inflammatory biomarkers measurements were blindly performed. Analyses were adjusted on the randomization group.

RESULTS

Among 161 patients of the ANTHARTIC trial with available biological sample(s), patients with VAP (n = 33) had higher body mass index and Acute Physiology and Chronic Health Evaluation II score, more unwitnessed cardiac arrest, more catecholamines, and experienced more prolonged therapeutic hypothermia duration than patients without VAP (n = 121). In univariate analyses, biomarkers significantly associated with VAP and showing an area under the curve (AUC) greater than 0.70 were CRP (AUC = 0.76), interleukin (IL) 17A and 17C (IL17C) (0.74), macrophage colony-stimulating factor 1 (0.73), PCT (0.72), and vascular endothelial growth factor A (VEGF-A) (0.71). Multivariate analysis combining novel biomarkers revealed several pairs with p value of less than 0.001 and odds ratio greater than 1: VEGF-A + IL12 subunit beta (IL12B), Fms-related tyrosine kinase 3 ligands (Flt3L) + C-C chemokine 20 (CCL20), Flt3L + IL17A, Flt3L + IL6, STAM-binding protein (STAMBP) + CCL20, STAMBP + IL6, CCL20 + 4EBP1, CCL20 + caspase-8 (CASP8), IL6 + 4EBP1, and IL6 + CASP8. Best AUCs were observed for CRP + IL6 (0.79), CRP + CCL20 (0.78), CRP + IL17A, and CRP + IL17C.

CONCLUSIONS AND RELEVANCE

Our exploratory study shows that specific biomarkers, especially CRP combined with IL6, could help to better diagnose or predict early VAP occurrence in cardiac arrest patients.

Clinical efficacy of laparoscopic cholecystectomy combined with endoscopic papillary balloon dilation in treatment of gallbladder stones with common bile duct stones: A retrospective study

BACKGROUND

The incidence of cholelithiasis has been on the rise in recent years, but the choice of procedure is controversial.

AIM

To investigate the efficacy of laparoscopic cholecystectomy (LC) combined with endoscopic papillary balloon dilation (EPBD) in patients with gallbladder stones (GS) with common bile duct stones (CBDS).

METHODS

The clinical data of 102 patients with GS combined with CBDS were selected for retrospective analysis and divided into either an LC + EPBD group (n = 50) or an LC + endoscopic sphincterotomy (EST) group (n = 52) according to surgical methods. Surgery-related indexes, postoperative recovery, postoperative complications, and expression levels of inflammatory response indexes were compared between the two groups.

RESULTS

Total surgical time, stone free rate, rate of conversion to laparotomy, and successful stone extraction rate did not differ significantly between the LC + EPBD group and LC + EST group. Intraoperative hemorrhage, time to ambulation, and length of hospitalization in the LC + EPBD group were lower than those of the LC + EST group (P < 0.05). The rate of total complications of the two groups was 9.80% and 17.65%, respectively, and the difference was not statistically significant. No serious complications occurred in either group. At 48 h postoperatively, the expression levels of interleukin-6, tumor necrosis factor-α, high-sensitivity C-reactive protein, and procalcitonin were lower in the LC + EPBD group than in the LC + EST group (P < 0.05). At 3 d postoperatively, the expression levels of aspartate transaminase, alanine transaminase, and total bilirubin were lower in the LC + EPBD group than in the LC + EST group (P < 0.05).

CONCLUSION

LC combined with EPBD and LC combined with EST are both effective procedures for the treatment of GS with CBDS, in which LC combined with EPBD is beneficial to shorten the patient's hospitalization time, reduce the magnitude of elevated inflammatory response indexes, and promote postoperative recovery.

Syndecan-1 as a prognostic biomarker in COVID-19 patients: a retrospective study of a Japanese cohort

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had a profound global impact, with millions of confirmed cases and deaths worldwide. While most cases are mild, a subset progresses to severe respiratory complications and death, with factors such as thromboembolism, age, and underlying health conditions increasing the risk. Vascular endothelial damage has been implicated in severe outcomes, but specific biomarkers remain elusive. This study investigated syndecan-1 (SDC-1), a marker of endothelial damage, as a potential prognostic factor for COVID-19, focusing on the Japanese population, which is known for its aging demographics and high prevalence of comorbidities.

METHODS

A multicenter retrospective study of COVID-19 patients in Fukushima Prefecture in Japan who were admitted between February 2020 and August 2021 was conducted. SDC-1 levels were measured along with other clinical and laboratory parameters. Outcomes including thrombosis, 28-day survival, and disease severity were assessed, and disease severity was categorized according to established guidelines.

RESULTS

SDC-1 levels were correlated with disease severity. Patients who died from COVID-19 had greater SDC-1 levels than survivors, and the area under the receiver operating characteristic curve (AUC) analysis suggested the potential of the SDC-1 level as a predictor of mortality (AUC 0.714). K‒M analysis also revealed a significant difference in survival based on an SDC-1 cutoff of 10.65 ng/mL.

DISCUSSION

This study suggested that SDC-1 may serve as a valuable biomarker for assessing COVID-19 severity and predicting mortality within 28 days of hospitalization, particularly in the Japanese population. However, further investigations are required to assess longitudinal changes in SDC-1 levels, validate its predictive value for long-term survival, and consider its applicability to new viral variants.

CONCLUSIONS

SDC-1 is emerging as a potential biomarker for assessing the severity and life expectancy of COVID-19 in the Japanese population, offering promise for improved risk stratification and patient management in the ongoing fight against the virus.

Long COVID management: a mini review of current recommendations and underutilized modalities

Long COVID is a condition that develops in a subset of patients after COVID-19 infection comprising of symptoms of varying severity encompassing multiple organ systems. Currently, long COVID is without consensus on a formal definition, identifiable biomarkers, and validated treatment. Long COVID is expected to be a long-term chronic condition for a subset of patients and is associated with suffering and incapacity. There is an urgent need for clear management guidelines for the primary care provider, who is essential in bridging the gap with more specialized care to improve quality of life and functionality in their patients living with long COVID. The purpose of this mini review is to provide primary care providers with the latest highlights from existing literature regarding the most common long COVID symptoms and current management recommendations. This review also highlights the underutilized interventions of stellate ganglion blocks and low-dose naltrexone, both with well-established safety profiles demonstrated to improve quality of life and functionality for patients suffering with some symptoms of long COVID, and encourages prompt referral to interventional pain management.

Determinants of mortality in hypertensive patients admitted with COVID-19: a single-centre retrospective study at a tertiary hospital in South Africa

BACKGROUND

The Coronavirus Disease 2019 (COVID-19) pandemic has significantly impacted global health, with successive outbreaks leading to substantial morbidity and mortality. Hypertension, a leading cause of cardiovascular disease globally, has been identified as a critical comorbidity in patients with severe COVID-19, exacerbating the risk of adverse outcomes. This study aimed to elucidate the impact of hypertension on COVID-19 outcomes within the South African context.

METHODS

A retrospective analysis was conducted at King Edward VIII Hospital, KwaZulu-Natal, South Africa, encompassing patients aged 13 years and above admitted with laboratory-confirmed SARS-CoV-2 infection between June 2020 and December 2021. The study investigated the association between hypertension and COVID-19 outcomes, analysing demographic, clinical, and laboratory data. Statistical analysis involved univariate and multivariate logistic regression to identify predictors of mortality among the hypertensive cohort.

RESULTS

The study included 420 participants-encompassing 205 with hypertension. Hypertensive patients demonstrated significantly greater requirements for oxygen and steroid therapy (p < 0.001), as well as higher mortality rates (44.88%, p < 0.001)) compared to their non-hypertensive counterparts. Key findings demonstrated that a lower oxygen saturation (adjusted odds ratio (aOR) 0.934, p = 0.006), higher pulse pressure (aOR 1.046, p = 0.021), elevated CRP (aOR 1.007, p = 0.004) and the necessity for mechanical ventilation (aOR 5.165, p = 0.004) were independent risk factors for mortality in hypertensive COVID-19 patients. Notably, the study highlighted the pronounced impact of hypertension-mediated organ damage (HMOD) on patient outcomes, with ischemic heart disease being significantly associated with increased mortality (aOR 8.712, p = 0.033).

CONCLUSION

Hypertension significantly exacerbates the severity and mortality risk of COVID-19 in the South African setting, underscoring the need for early identification and targeted management of hypertensive patients. This study contributes to the understanding of the interplay between hypertension and COVID-19 outcomes, emphasising the importance of considering comorbidities in the management and treatment strategies for COVID-19. Enhanced pandemic preparedness and healthcare resource allocation are crucial to mitigate the compounded risk presented by these concurrent health crises.

Interplay of inflammatory markers and anti-SARS-CoV-2 antibodies in COVID-19 mortality: A prospective cohort study

OBJECTIVES

Despite high global vaccination coverage, it remains unclear how vaccination and anti-SARS-CoV-2 antibodies affect immune responses and inflammation levels in patients with COVID-19. It is further unclear whether the inflammatory response differs depending on antibody levels and whether the combination of antibody and inflammation levels in COVID-19 patients affects mortality rates.

METHODS

We conducted a prospective multicenter cohort study that included 1031 hospitalized COVID-19 patients from five hospitals. Anti-SARS-CoV-2-spike antibodies, interleukin-6 (IL6), and CRP were measured on hospital admission. The prespecified endpoint was all-cause in-hospital mortality.

RESULTS

We observed significantly lower levels of CRP (P<0.001) and IL6 (P<0.001) in patients with antibody levels above 1200 BAU/ml. After adjusting for potential confounders, patients with high levels of inflammatory markers (CRP>6 mg/dl or IL6>100 pg/ml) combined with low levels of anti-SARS-CoV-2-spike antibodies (<1200 BAU/ml) were approximately 8 times more likely to die than patients with low inflammatory responses and high antibody levels (CRP: aHR 7.973, 95% CI 2.744-23.169, P<0.001; IL6: aHR 8.973, 95% CI 3.549-22.688, P<0.001).

CONCLUSION

Hospitalized COVID-19 patients presenting with high inflammatory markers and low antibody levels exhibited the highest mortality risks. Higher antibody levels are associated with lower levels of inflammation in hospitalized COVID-19 patients.

Clinical outcomes of multidimensional association of type 2 diabetes mellitus, COVID-19 and sarcopenia: an algorithm and scoping systematic evaluation

BACKGROUND

The aim of this study was to provide a scoping and comprehensive review for the clinical outcomes from the cross-link of Type 2 diabetes mellitus (T2DM), COVID-19, and sarcopenia.

METHODS

By using PRISMA guidelines and searching through different databases that could provide findings of evidence on the association of T2DM, COVID-19, and sarcopenia.

RESULTS

Thirty-three studies reported a relationship between sarcopenia with T2DM, twenty-one studies reported the prognosis COVID-19 in patients with T2DM, ten studies reported the prognosis of COVID-19 in patients with sarcopenia, five studies discussed the outcomes of sarcopenia in patients with COVID-19, and one study reported sarcopenia outcomes in the presence of T2DM and COVID-19.

CONCLUSION

There is an obvious multidimensional relationship between T2DM, COVID-19 and sarcopenia which can cause prejudicial effects, poor prognosis, prolonged hospitalisation, lowered quality of life and a higher mortality rate during the current COVID-19 pandemic.

Is it possible to identify COVID-19 infection-related biomarkers during pregnancy?: A prospective study in Turkish population

The coronavirus disease 2019 (COVID-19) has raised concerns about the potential complications it may cause in pregnant women. Therefore, biomarkers that can predict the course of COVID-19 in pregnant women may be of great benefit as they would provide valuable insights into the prognosis and, thus, the management of the disease. In this context, the objective of this study is to identify the biomarkers that can predict COVID-19 progression in pregnant women, focusing on composite hemogram parameters and systemic inflammatory and spike markers. The population of this single-center prospective case-control study consisted of all consecutive pregnant women with single healthy fetuses who tested positive for COVID-19 and who were admitted to Bakirköy Dr Sadi Konuk Training and Research Hospital in Istanbul, Turkey, a COVID-19 referral hospital, between April 2020 and March 2021, with an obstetric indication, during their second or third trimester. The control group consisted of consecutive pregnant women with a single healthy fetus who were admitted to the same hospital within the same date range, had demographic and obstetric characteristics matching the patient group, but tested negative for COVID-19. The patient and control groups were compared in terms of platelet-to-lymphocyte ratio (PLR), platelet-to-neutrophil ratio (PNR), and neutrophil-to-lymphocyte ratio (NLR), and systemic inflammatory and spike markers, including C-reactive protein (CRP), interleukin-6 (IL-6), interleukin-10 (IL-10), cluster of differentiation 26 (CD26), and B7 homolog 4 (B7H4). There were 45 (51.1%) and 43 (48.8%) pregnant women in the patient and control groups, respectively. There was no significant difference between the groups in demographic and obstetric characteristics (P > .05). The PNR, PLR, and CRP values were significantly higher in the patient group than in the control group (P < .05). On the other hand, there was no significant difference between the groups in IL-6, IL-10, CD26, and B7H4 levels (P > .05). The findings of our study showed that specific inflammatory markers, such as CRP, PLR, and PNR, can potentially predict the course of COVID-19 in pregnant women. However, more comprehensive, well-controlled studies are needed to corroborate our study's findings and investigate other potential inflammatory markers.

Inflammatory Biomarkers for Assessing In-Hospital Mortality Risk in Severe COVID-19-A Retrospective Study

(1) Background: Our study aims to investigate the utility of inflammatory factors as prognostic indicators for disease severity and mortality in COVID-19 patients admitted to the Intensive Care Unit (ICU) Department of Pelican Clinical Hospital Oradea Romania. While elevated white blood cell (WBC) levels are associated with COVID-19 severity and mortality, they may not effectively predict the risk of death; (2) Methods: In our ICU department, we conducted assessments on the 10th and 14th days of COVID-19 patients' hospitalization, measuring the following markers: C-reactive protein (CRP) levels, procalcitonin (PCT) levels, granulocytes/lymphocytes (G/L) ratios, ferritin levels, age, and obesity status. We included a total of 209 eligible COVID-19 patients in the final analysis. Our goal was to identify biomarkers that could quickly identify high-risk patients with a potential for disease progression and mortality; (3) Results: Our study (a retrospective, single-center observational cohort study) demonstrated statistically significant differences in predicting mortality and disease severity based on G/L ratio (p < 0.0001), PCT (p < 0.0002), CRP (p < 0.0001), ferritin (p < 0.0001), age (p < 0.0001), and obesity (p < 0.0001); (4) Conclusions: Having a G/L ratio exceeding 20 units, along with elevated levels of PCR, PCT, and ferritin in older and obese patients on the 3rd day of ICU admission, represents significant risk factors for in-hospital mortality in severe COVID-19 patients.

Elevated pretreatment serum apolipoprotein E level associated with poor prognosis of patients with COVID-19 during the omicron BA.5 and BF.7 wave

The SARS-CoV-2 virus is responsible for the human disease known as COVID-19. This virus is capable of generating a spectrum of infections ranging from moderate to severe. Serum apolipoprotein E (ApoE) inhibits inflammation by preserving immune regulatory function. Nonetheless, the relationship between serum ApoE and clinical prognosis in omicron remains elusive. A cohort of 231 patients was observed for 65 days, with death as the primary outcome. Based on their ApoE levels, the patients were categorized into patients with elevated ApoE levels and those with lower ApoE levels. To do statistical comparisons, the log-rank test was utilized, and the Kaplan-Meier method was utilized to estimate survival rates. Cox hazard models, both univariate and multivariate, were employed to examine the prognostic relevance. According to our research, omicron had significantly greater ApoE levels. In mild-to-moderate and severe cases, the study identified a statistically significant variation in ApoE levels. Additionally, there was a drop in overall survival that is statistically significant (OS, p < 0.0001) for patients with greater ApoE levels. Multiple Cox proportional hazards regression analysis indicates that an elevated ApoE level was determined to be an adverse and independent prognostic factor of OS in patients with omicron. Taken together, our study found that the level of serum ApoE at the time of initial diagnosis was substantially connected to the severity and prognosis of omicron. Consequently, we propose that ApoE might be a poor prognostic factor in individuals afflicted with the omicron variant.

Proposed Mechanisms for the Relationship between Periodontal Diseases and the Severity of Covid-19: Common Pathogens, Inflammatory Mediators, and Risk Factors

Periodontal disease (PD) is a chronic inflammatory disease with some cytokine involvement, associated with several risk factors such as diabetes, obesity, etc., Corona Virus Disease 2019 (COVID-19), a new viral infection, also appears to be related to cytokine storm and similar risk factors. In this review, we intend to evaluate the possible relationship between PD and COVID-19. For data collection, English literature was searched in databases including PubMed and Google Scholar. The keywords searched were COVID-19, SARS-CoV-2, PD, respiratory Impact of Oral pathogens on respiratory diseases: Epidemiological studies indicated that oral pathogens are related to acute and chronic lung disease, and dental plaque is a likely reservoir for respiratory pathogens. Viral presence in the periodontal pocket: SARS-CoV-2 may be released from infected periodontal cells into periodontal pockets. Common inflammatory mediators: Several studies showed that the serum levels of interleukins (IL)-1, 6, 17, etc., increase in most patients with severe COVID-19. C-reactive protein (CRP) and endothelin 1(ET-1) may also be related to COVID-19 progression, and these mediators also increase in periodontitis. Common risk factors: Due to studies, diabetes mellitus (DM), obesity, aging, and male sex are the most important risk factors common between PDs and COVID-19 and may affect treatment outcomes and prognosis. PD seems to play a significant role in exacerbating COVID-19 and even affects the mortality rate of disease.

The role of vitamin D in outcomes of critical care in COVID-19 patients: evidence from an umbrella meta-analysis of interventional and observational studies

OBJECTIVES

Several meta-analyses have suggested the beneficial effect of vitamin D on patients infected with severe acute respiratory syndrome coronavirus-2. This umbrella meta-analysis aims to evaluate influence of vitamin D supplementation on clinical outcomes and the mortality rate of COVID-19 patients.

DESIGN

Present study was designed as an umbrella meta-analysis. The following international databases were systematically searched till March 2023: Web of Science, PubMed, Scopus, and Embase.

SETTINGS

Random-effects model was employed to perform meta-analysis. Using AMSTAR critical evaluation tools, the methodological quality of the included meta-analyses was evaluated.

PARTICIPANTS

Adult patients suffering from COVID-19 were studied.

RESULTS

Overall, 13 meta-analyses summarising data from 4 randomised controlled trial and 9 observational studies were identified in this umbrella review. Our findings revealed that vitamin D supplementation and status significantly reduced mortality of COVID-19 [Interventional studies: (ES = 0·42; 95 % CI: 0·10, 0·75, P < 0·001; I2 = 20·4 %, P = 0·285) and observational studies (ES = 1·99; 95 % CI: 1·37, 2·62, P < 0·001; I2 = 00·0 %, P = 0·944). Also, vitamin D deficiency increased the risk of infection and disease severity among patients.

CONCLUSION

Overall, vitamin D status is a critical factor influencing the mortality rate, disease severity, admission to intensive care unit and being detached from mechanical ventilation. It is vital to monitor the vitamin D status in all patients with critical conditions including COVID patients.

The Association of Serum Profile of Transferrin Isoforms with COVID-19 Disease Severity

Background/Objective: Bearing in mind the relationship of transferrin (TRF) microheterogeneity with the biological activity of its isoforms, we propose, in this study, to determine the association of the profile of TRF isoforms with COVID-19 disease severity and to compare this profile to the profiles of other diseases. Methods: The disease group consisted of 96 patients from whom blood was collected twice, upon admission to the ward and after treatment (on average on the ninth day). TRF isoforms were separated by capillary electrophoresis. The analysis included disease severity, cytokine storm, comorbidities, patient survival, oxygen therapy, and modified early warning scores (MEWSs). Results: The concentration of 5-sialoTRF was higher in patients compared to controls at the beginning and during COVID-19 treatment. The concentration of this isoform varies with the severity of disease and was higher in critical patients than those with a moderate condition. Additionally, the level of 5-sialoTRF was lower and the level of 4-sialoTRF was higher in patients with comorbidities than that in patients without them. The concentration of 5-sialoTRF was lower and the concentration of 4-sialoTRF was higher in surviving patients than in non-surviving patients. There were no statistical changes in TRF isoforms according to presence of cytokine storm, MEWS, and oxygen therapy. Conclusions: We conclude that the profile of TRF isoforms in COVID-19 patients differs from that in other diseases. An increase in the concentration of a sialic acid-rich isoform, 5-sialoTRF, may be a compensatory mechanism, the goal of which is to increase oxygen delivery to tissues and is dependent on the severity of the disease. Additionally, the concentration of 5-sialoTRF may be a prognostic marker of the survival of COVID-19 patients.

Sysmex-derived COVID-19 prognostic score as an early prognostic marker for severity of the COVID-19 disease

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a life-threatening disease with a heterogeneous course. Even some young patients are at increased risk of severe course or death, as they can face severe complications. It would be very useful to have a cheap and easily available marker to predict COVID-19 course in the early stages of the disease. The COVID-19 prognostic score could be a very useful clinical indicator available at the time of primary contact with the patient.

METHODS

The COVID-19 prognostic score and the clinical condition together with selected laboratory parameters were evaluated in patients with respiratory tract infection and a positive PCR test for the SARS-CoV-2 during the first contact with the patient. Prognostic significance was evaluated using receiver operating characteristic curves (ROC) and area under the curve (AUC). Selected parameters of the blood count and hemostasis, as well as selected biochemical indicators, were examined too.

RESULTS

Thirty-seven of 164 patients developed serious symptoms. The COVID-19 score had one of the highest AUC values (0.855) of all markers. The highest combination of sensitivity (91.9%) and specificity (71.7%) for identifying patients with a subsequent moderate and severe course of the disease was achieved at the threshold 1.5. The predictive value of a negative test is beneficial too (0.968).

CONCLUSIONS

The COVID-19 prognostic score is a promising indicator stratifying patients with COVID-19 into prognostic groups at the time of the first contact, thus allowing the timely provision of increased care in patients at high risk of severe development.

Role of C-reactive protein, IL-6, and D-dimers in prediction of severity of coronavirus disease 2019: A pilot study

Background

The global outbreak of coronavirus disease 2019 (COVID-19) presents numerous obstacles for healthcare professionals. The present study aimed to evaluate and compare the role of serum biomarkers like- C-reactive protein (CRP), interleukin-6 (IL-6), and D-dimers in the severity of COVID-19 infection.

Methodology

A cross-sectional, observational retrospective pilot study was conducted in Udaipur, Rajasthan, wherein data was collected from 250 subjects, out of which, data of 100 subjects were included as per the inclusion criteria. The data was recorded retrospectively among the health professionals via Google Forms in Udaipur, Rajasthan.

Results

There were 1 (1%), 3 (3%), 31 (31%) and 65 (65%) participants with minor elevation (0.3-1.0), moderate elevation (1-10), marked elevation (10-50) and severe elevation (>50) of CRP respectively. The difference between the groups was statistically highly significant with a significantly higher number of study participants with a severe elevation of CRP levels (χ2 = 107.84, P < 0.001). The results showed that there was a significant difference between the groups with IL6 in 0-7 range while 96 (96%) study participants had >7 IL6, and the difference was statistically highly significant (2 = 84.640, P 0.001).

Conclusion

In conclusion, the existing body of research indicates a discernible correlation between COVID-19 infection and the fluctuation of biomarker levels. This supplement has the potential to be utilised in clinical practice as a means of informing treatment decisions and determining the necessity of admission to the intensive care unit (ICU).

Mast cells in the autonomic nervous system and potential role in disorders with dysautonomia and neuroinflammation

Mast cells (MC) are ubiquitous in the body, and they are critical for not only in allergic diseases but also in immunity and inflammation, including having potential involvement in the pathophysiology of dysautonomias and neuroinflammatory disorders. MC are located perivascularly close to nerve endings and sites such as the carotid bodies, heart, hypothalamus, the pineal gland, and the adrenal gland that would allow them not only to regulate but also to be affected by the autonomic nervous system (ANS). MC are stimulated not only by allergens but also many other triggers including some from the ANS that can affect MC release of neurosensitizing, proinflammatory, and vasoactive mediators. Hence, MC may be able to regulate homeostatic functions that seem to be dysfunctional in many conditions, such as postural orthostatic tachycardia syndrome, autism spectrum disorder, myalgic encephalomyelitis/chronic fatigue syndrome, and Long-COVID syndrome. The evidence indicates that there is a possible association between these conditions and diseases associated with MC activation. There is no effective treatment for any form of these conditions other than minimizing symptoms. Given the many ways MC could be activated and the numerous mediators released, it would be important to develop ways to inhibit stimulation of MC and the release of ANS-relevant mediators.

Intelligent diagnosis of the severity of disease conditions in COVID-19 patients based on the LASSO method

Purpose

The purpose of this study is to develop an intelligent diagnosis model based on the LASSO method to predict the severity of COVID-19 patients.

Methods

The study uses the clinical data of 500 COVID-19 patients from a designated hospital in Guangzhou, China, and selects eight features, including age, sex, dyspnea, comorbidity, complication, lymphocytes (LYM), CRP, and lung injury score, as the most important predictors of COVID-19 severity. The study applies the LASSO method to perform feature selection and regularization, and compares the LASSO method with other machine learning methods, such as ridge regression, support vector machine, and random forest.

Results

The study finds that the ridge regression model has the best performance among the four models, with an AUROC of 0.92 in the internal validation and 0.91 in the external validation.

Conclusion

The study provides a simple, robust, and interpretable model for the intelligent diagnosis of COVID-19 severity, and a convenient and practical tool for the public and the health care workers to assess COVID-19 severity. However, the study also has some limitations and directions for future research, such as the need for more data from different sources and settings, and from prospective, longitudinal, multi-class classification models. The study hopes to contribute to the prevention and control of COVID-19, and to the improvement of the diagnosis and treatment of COVID-19 patients.

[Predictive value of C-reactive protein on hospital admission and mechanical ventilation requirement in adults hospitalized for COVID-19]

Introduction

During the COVID-19 pandemic, patients with worse evolution presented clinical deterioration 7-10 days after the onset of symptoms, which suggests that the inflammatory response could participate in the pathophysiology of the disease. The objective of this study was to evaluate the association between plasma C-reactive protein (PCr) on hospital admission and mechanical ventilation requirement during hospitalization in adults with COVID-19.

Methods

Retrospective, observational cohort at a private center in the province of Buenos Aires. Hospitalized adults diagnosed with COVID-19 by nasal swab using real time transcription polymerase chain reaction or antigen were included. The primary outcome was the association between high plasma PCr values on hospital admission (≥8 mg/L) and mechanical ventilation requirement during hospitalization.

Results

Of the 1,242 patients enrolled, 19.4% required mechanical ventilation and 11.7% died during the hospitalization. The PCr of the patients who required mechanical ventilation was higher than that of those who did not require mechanical ventilation (9.45 [5.20-18.70] mg/L vs 4.95 [1.80-10.70] mg/L; p < 0.01). PCr analyzed as a continuous variable (OR = 1.39; 95%CI 1.21-1.60; p < 0.001) and as a categorical variable (≥8 mg/L) (OR = 2.66; 95%CI 2.19 -3.78, p < 0.001) presented a significant association with the requirement of mechanical ventilation during hospitalization. Additionally, a significant association was found between PCr and in-hospital mortality.

Conclusion

Plasma PCr on hospital admission could predict clinical evolution in adult patients hospitalized for COVID-19.