CO-RADS: Coronavirus Classification Review

Differentiating Leukostasis From COVID-19 Pneumonia: Clinical and Radiological Perspectives for the Right Decision-Making

Leukostasis is a non-infectious complication of acute leukemia. Pathophysiologically, it is characterized by an accumulation of blasts in the pulmonary capillaries. Clinically, this syndrome of hyperleukocytosis or leucocytosis leads to pulmonary and/or neurological lesions. This is why it must be treated urgently to prevent it from progressing to acute respiratory distress. In 2020, the World Health Organization (WHO) declared a pandemic caused by a novel coronavirus called SARS-CoV-2, which may cause respiratory distress or other clinical, biological, and radiological signs that some may confuse with those of leukostasis. In this context, we present a compelling case study of a 64-year-old patient with no notable pathological antecedents and not vaccinated against COVID-19, who presented with acute respiratory distress. The purpose of our article is to succeed in differentiating between the two pneumopathies, thus making it possible to orient the doctor toward the right decision-making. As known, early recognition enables timely interventions, reducing disease progression and associated complications while also preventing unnecessary treatments, optimizing healthcare resources, and advancing medical knowledge for improved patient care in both acute leukemia and COVID-19 management.

COVID-19 frequency and clinical course in children with asthma

BACKGROUND

The epidemic of severe acute respiratory syndrome coronavirus 2 infection, known as the coronavirus disease 2019 (COVID-19), has caused a global health concern. Since its emergence, numerous studies have focused on various clinical manifestations and outcomes in different populations. However, studies are ongoing as the consequences and impact of COVID-19 in children with chronic diseases such as asthma are controversial.

AIM

To fill this research gap by retrospectively evaluating the course, laboratory, and clinical findings of COVID-19 among 414 asthmatic children followed up from the pediatric allergy outpatient clinic and known to have had COVID-19.

METHODS

The data of 5510 patients over the age of 5 diagnosed with asthma in our hospital's data were retrospectively scanned with specific parameters using protocol numbers from the hospital filing system. The data included retrospective evaluation of pulmonary function test results before and after COVID-19, routine hematological and biochemical parameters, sensitization states (total IgE, specific IgE, and skin prick test results), and radiological (computed tomography) findings. To inquire about the course and symptoms of COVID-19, asthma patients or their parents were then called and evaluated with a questionnaire.

RESULTS

As a result of retrospectively scanning the data of 5510 asthma patients over the age of 5, it was determined that 414 (7.5%) patients had COVID-19. The mean age of 414 patients was 17.18 ± 4.08 (min: 6; max: 28) years. Two hundred and three of our 414 patients are male, and 211 are female. When their vaccination status was questioned, 21.5% were vaccinated. When the symptoms of our 290 patients were questioned, it was stated that 59.0% had fever symptoms. The rate of using regular prophylactic asthma medications was 19%. The rate of using salbutamol in asthma was found to be 22%. The rate of patients using methylprednisolone was 1%. Emergency service admission was 17.2%, and hospitalization was found to be 4.8%. Leukopenia (< 4000) was found in 14.1% of patients, and 8.08% of our patients had neutropenia (< 1500). Lymphopenia (< 1500) was detected in 44.4% of patients, and lymphocytosis (> 4000) was found in 5.05% of patients. In 65% of our patients, the C-reactive protein value was elevated. A high aspartate aminotransferase and alanine aminotransferase value was detected in 3.2% and 5.4% of patients were found, respectively. 31% of patients had an elevated lactate dehydrogenase value. Typical radiological findings for COVID-19 were detected in 3/309 of patients.

CONCLUSION

According to our study, there is a correlation between the severity of COVID-19 and asthma symptoms and the course of the disease. However, it is worth noting that the retrospective nature of the study and the differences in sample size, age, and demographic characteristics between the two groups do not allow for an optimal comparison. Therefore, further investigation is needed to explore the relationship between COVID-19 and asthma, and it can be suggested that COVID-19 may trigger asthma attacks and asthma may impact the course of COVID-19.

Effect of vaccination status on CORADS and computed tomography severity score in hospitalized COVID-19 patients: A retrospective study

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic is continuing. The disease most commonly affects the lungs. Since the beginning of the pandemic thorax computed tomography (CT) has been an indispensable imaging method for diagnosis and follow-up. The disease is tried to be controlled with vaccines. Vaccination reduces the possibility of a severe course of the disease.

AIM

The aim of this study is to investigate whether the vaccination status of patients hospitalized due to COVID-19 has an effect on the CT severity score (CT-SS) and CORADS score obtained during hospitalization.

METHODS

The files of patients hospitalized between April 1, 2021 and April 1, 2022 due to COVID-19 were retrospectively reviewed. A total of 224 patients who were older than 18 years of age, whose vaccination status was accessible, whose severe acute respiratory syndrome coronavirus 2 polymerase chain reaction result was positive, and who had a Thorax CT scan during hospitalization were included in the study.

RESULTS

Among the patients included in the study, 52.2% were female and the mean age was 61.85 years. The patients applied to the hospital on the average 7th day of their complaints. While 63 patients were unvaccinated (Group 1), 20 were vaccinated with a single dose of CoronaVac (Group 2), 24 with a single dose of BioNTech (Group 3), 38 with 2 doses of CoronaVac (Group 4), 40 with 2 doses of BioNTech (Group 5), and 39 with 3 doses of vaccine (2 doses of CoronaVac followed by a single dose of BioNTech, Group 6). CT-SS ranged from 5 to 23, with a mean of 12.17.CT-SS mean of the groups were determined as 14.17, 13.35, 11.58, 10.87, 11.28, 10.85, respectively. Accordingly, as a result of the comparisons between the groups, the CT-SS levels of the unvaccinated patients found to be significantly higher than the other groups. As the vaccination rates increased, the rate of typical COVID-19 findings on CT was found to be significantly lower.

CONCLUSION

Increased vaccination rates in COVID-19 patients reduce the probability of typical COVID-19 symptoms in the lungs. It also reduces the risk of severe disease and decreases CT Severity Scores. This may lead to a loss of importance of Thorax CT in the diagnosis of COVID-19 pneumonia as the end of the pandemic approaches.

Inter-observer Variability in the Analysis of CO-RADS Classification for COVID-19 Patients

During the early stages of the pandemic, computed tomography (CT) of the chest, along with serological and clinical data, was frequently utilized in diagnosing COVID-19, particularly in regions facing challenges such as shortages of PCR kits. In these circumstances, CT scans played a crucial role in diagnosing COVID-19 and guiding patient management. The COVID-19 Reporting and Data System (CO-RADS) was established as a standardized reporting system for cases of COVID-19 pneumonia. Its implementation necessitates a high level of agreement among observers to prevent any potential confusion. This study aimed to assess the inter-observer agreement between physicians from different specialties with variable levels of experience in their CO-RADS scoring of CT chests for confirmed COVID-19 patients, and to assess the feasibility of applying this reporting system to those having little experience with it. All chest CT images of patients with positive RT-PCR tests for COVID-19 were retrospectively reviewed by seven observers. The observers were divided into three groups according to their type of specialty (three radiologists, three house officers, and one pulmonologist). The observers assessed each image and categorized the patients into five CO-RADS groups. A total of 630 participants were included in this study. The inter-observer agreement was almost perfect among the radiologists, substantial among a pulmonologist and the house officers, and moderate-to-substantial among the radiologists, the pulmonologist, and the house officers. There was substantial to almost perfect inter-observer agreement when reporting using the CO-RADS among observers with different experience levels. Although the inter-observer variability among the radiologists was high, it decreased compared to the pulmonologist and house officers. Radiologists, house officers, and pulmonologists applying the CO-RADS can accurately and promptly identify typical CT imaging features of lung involvement in COVID-19.

MTOR gene variants are associated with severe COVID-19 outcomes: A multicenter study

BACKGROUND

The worst outcomes linked to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have been attributed to the cytokine storm, which contributes significantly to the immunopathogenesis of the disease. The mammalian target of rapamycin (mTOR) pathway is essential for orchestrating innate immune cell defense including cytokine production and is dysregulated in severe Coronavirus Disease 2019 (COVID-19) individuals. The individual genetic background might play a role in the exacerbated immune response.

OBJECTIVE

In this study, we aimed to investigate the association between MTOR genetic variants and COVID-19 outcomes.

METHODS

This study enrolled groups of individuals with severe (n = 285) and mild (n = 207) COVID-19 from Brazilian states. The MTOR variants, rs1057079 and rs2536, were genotyped. A logistic regression analysis and Kaplan-Meier survival curves were performed. We applied a genotyping risk score to estimate the cumulative contribution of the risk alleles. Tumor necrosis factor (TNF) and interleukin-6 (IL-6) plasma levels were also measured.

RESULTS

The T allele of the MTOR rs1057079 variant was associated with a higher likelihood of developing the most severe form of COVID-19. In addition, higher levels of IL-6 and COVID-19 death was linked to the T allele of the rs2536 variant. These variants exhibited a cumulative risk when inherited collectively.

CONCLUSIONS

These results show a potential pathogenetic role of MTOR gene variants and may be useful for predicting severe outcomes following COVID-19 infection, resulting in a more effective allocation of health resources.

Doubts and concerns about COVID-19 uncertainties on imaging data, clinical score, and outcomes

BACKGROUND

COVID-19 is a pandemic disease affecting predominantly the respiratory apparatus with clinical manifestations ranging from asymptomatic to respiratory failure. Chest CT is a crucial tool in diagnosing and evaluating the severity of pulmonary involvement through dedicated scoring systems. Nonetheless, many questions regarding the relationship of radiologic and clinical features of the disease have emerged in multidisciplinary meetings. The aim of this retrospective study was to explore such relationship throughout an innovative and alternative approach.

MATERIALS AND METHODS

This study included 550 patients (range 25-98 years; 354 males, mean age 66.1; 196 females, mean age 70.9) hospitalized for COVID-19 with available radiological and clinical data between 1 March 2021 and 30 April 2022. Radiological data included CO-RADS, chest CT score, dominant pattern, and typical/atypical findings detected on CT examinations. Clinical data included clinical score and outcome. The relationship between such features was investigated through the development of the main four frequently asked questions summarizing the many issues arisen in multidisciplinary meetings, as follows 1) CO-RADS, chest CT score, clinical score, and outcomes; 2) the involvement of a specific lung lobe and outcomes; 3) dominant pattern/distribution and severity score for the same chest CT score; 4) additional factors and outcomes.

RESULTS

1) If CT was suggestive for COVID, a strong correlation between CT/clinical score and prognosis was found; 2) Middle lobe CT involvement was an unfavorable prognostic criterion; 3) If CT score < 50%, the pattern was not influential, whereas if CT score > 50%, crazy paving as dominant pattern leaded to a 15% increased death rate, stacked up against other patterns, thus almost doubling it; 4) Additional factors usually did not matter, but lymph-nodes and pleural effusion worsened prognosis.

CONCLUSIONS

This study outlined those radiological features of COVID-19 most relevant towards disease severity and outcome with an innovative approach.

Coronavirus disease 2019 and lung cancer: where are we?

Oncology patients are more susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection due to hospital contact and an immunological system that can be compromised by antineoplastic therapy and supportive treatments. Certain similarities have been described in the physiopathology of coronavirus disease 2019 (COVID-19) and lung cancer (LC) that may explain the higher probability of these patients of developing a more serious disease with more frequent hospitalizations and even death, especially with the addition of smoking, cardiovascular and respiratory comorbidities, old age and corticosteroids use. Pre-existing lesions and cancer therapies change the normal architecture of the lungs, so diagnostic scales such as COVID-19 Reporting and Data System (CO-RADS) are of vital importance for a correct diagnosis and patient homogenization, with a high inter-observer correlation. Moreover, anticancer treatments have required an adaptation to reduce the number of visits to the hospital [hypofractionated radiotherapy (RT), larger intervals between chemotherapy cycles, delay in follow-up tests, among others]. In a way, this has also caused a delay in the diagnosis of new cancers. On the other hand, vaccination has had a positive impact on the mortality of these patients, who maintain a similar seroprevalence to the rest of the population, with a similar impact in mortality.

Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course

The mechanisms underlying the immune response to coronavirus disease 2019 (COVID-19) and the recovery process have not been fully elucidated. The aim of the study was to analyze leukocyte subpopulations in patients at significant time points (at diagnosis, and 3 and 6 months after infection) selected according to the analysis of changes in the lungs by the CT classification system, considering the severity of the disease. The study groups consisted of severe and non-severe COVID-19 patients. There was a significant decrease in CD8+ T cells, NK and eosinophils, with an increasing percentage of neutrophils during hospitalization. We noticed lower levels of CD4 and CD8 T lymphocytes, eosinophils, basophils, and CD16+ monocytes and elevated neutrophil levels in severe patients relative to non-severe patients. Three months after infection, we observed higher levels of basophils, and after 6 months, higher CD4/CD8 ratios and T cell levels in the severe compared to non-severe group. Non-severe patients showed significant changes in the leukocyte populations studied at time of hospitalization and both within 3 months and 6 months of onset. The CT CSS classification with parameters of the flow cytometry method used for COVID-19 patients determined changes that proved useful in the initial evaluation of patients.

The daily updated Dutch national database on COVID-19 epidemiology, vaccination and sewage surveillance

The Dutch national open database on COVID-19 has been incrementally expanded since its start on 30 April 2020 and now includes datasets on symptoms, tests performed, individual-level positive cases and deaths, cases and deaths among vulnerable populations, settings of transmission, hospital and ICU admissions, SARS-CoV-2 variants, viral loads in sewage, vaccinations and the effective reproduction number. This data is collected by municipal health services, laboratories, hospitals, sewage treatment plants, vaccination providers and citizens and is cleaned, analysed and published, mostly daily, by the National Institute for Public Health and the Environment (RIVM) in the Netherlands, using automated scripts. Because these datasets cover the key aspects of the pandemic and are available at detailed geographical level, they are essential to gain a thorough understanding of the past and current COVID-19 epidemiology in the Netherlands. Future purposes of these datasets include country-level comparative analysis on the effect of non-pharmaceutical interventions against COVID-19 in different contexts, such as different cultural values or levels of socio-economic disparity, and studies on COVID-19 and weather factors.

Current and Emerging Knowledge in COVID-19

COVID-19 has emerged as a pandemic leading to a global public health crisis of unprecedented morbidity. A comprehensive insight into the imaging of COVID-19 has enabled early diagnosis, stratification of disease severity, and identification of potential sequelae. The evolution of COVID-19 can be divided into early infectious, pulmonary, and hyperinflammatory phases. Clinical features, imaging features, and management are different among the three phases. In the early stage, peripheral ground-glass opacities are predominant CT findings, and therapy directly targeting SARS-CoV-2 is effective. In the later stage, organizing pneumonia or diffuse alveolar damage pattern are predominant CT findings and anti-inflammatory therapies are more beneficial. The risk of severe disease or hospitalization is lower in breakthrough or Omicron variant infection compared with nonimmunized or Delta variant infections. The protection rates of the fourth dose of mRNA vaccination were 34% and 67% against overall infection and hospitalizations for severe illness, respectively. After acute COVID-19 pneumonia, most residual CT abnormalities gradually decreased in extent, but they may remain as linear or multifocal reticular or cystic lesions. Advanced insights into the pathophysiologic and imaging features of COVID-19 along with vaccine benefits have improved patient care, but emerging knowledge of post-COVID-19 condition, or long COVID, also presents radiology with new challenges.

COVID-19 in a group of children with asthma: presentation, severity, and outcome

BACKGROUND

There are insufficient data concerning COVID-19 severity among asthmatic children.

AIM

to evaluate the impact of asthma on COVID-19 severity and outcome.

PATIENTS AND METHODS

We carried out an observational study that comprised 2 matched groups of children with confirmed/probable COVID-19: 30 with and 32 without asthma aged 6-18 years, who were enrolled consecutively from Children's Hospital, Ain Shams University, Egypt. COVID-19 clinical presentations, laboratory and radiological abnormalities, severity and outcome were compared between the 2 groups. Asthma severity and control were assessed based on GINA 2020.

RESULTS

The asthmatic COVID-19 children were 9 boys and 21 girls, with median age 9 years, IQR: 8-12 years. The non-asthmatic COVID-19 group included 18 males and 14 females with median age 9.5 years, IQR: 7-12.5 years. Clinical manifestations of COVID-19 were comparable among the 2 groups, except for wheezes which were more frequently encountered as a COVID-19 manifestation among the asthmatics (p=0.001). Multisystem inflammatory syndrome (MIS-c) was diagnosed in one asthmatic and 3 non-asthmatic patients. The asthmatic group had higher frequency of serum ferritin, LDH and D-dimer elevations compared to the non-asthmatic peers (p values 0.014, 0.001, and 0.015 respectively). Based on CO-RAD classification, 70% of the asthmatic patients had CO-RAD score of 5 versus 6.3 % among the non-asthmatic group with significant differences between the 2 groups in their CO-RAD scores (P=0.002). COVID-19 severity was comparable among the studied groups (P=0.775), as well as COVID-19 outcome and duration of hospital stay (p values 0.999, and 0.655, respectively).

CONCLUSION

From our limited sample sized study, childhood asthma did not pose a significant impact on COVID-19 severity and outcome. Further longitudinal studies are warranted to validate our conclusion and investigate the relation of COVID-19 severity and outcome to allergen immunotherapy and the use of biologicals for asthma treatment.

Aspects scanographiques de la pneumopathie à COVID-19 à Ouagadougou: Étude multicentrique à propos de 1017 cas

OBJECTIVE

To study the chest CT profile of SARS-CoV-2 pneumonia in patients in the city of Ouagadougou.

PATIENTS AND METHODS

descriptive cross-sectional study with retrospective collection of 1017 patients of both sexes. Included were patients aged 15 and over who had performed a chest CT scan without or with injection of contrast product, suspected or positive for COVID -19. The variables analyzed were: the history, the nature of the examination, the socio-demographic, clinical, CT data including the description of the tomodensitometric lesions and their characteristics, the extent of the parenchymal lesions according to the visual estimate of the French thoracic Imaging Society, complications, other lesions on the chest CT scan and CORADS classification. All parameters (age, sex on the one hand and clinical and CT findings on the other) were subjected to statistical analysis.

RESULTS

The mean age of the patients was 56.95 years, predominantly male (1.47). Dyspnea was the most frequent symptomatology, at 46.26% (n = 506). Diabetes was the most common comorbidity with 29.37% (n = 94). Frosted glass opacity accounted for 90.95% of elementary lesions which were predominantly in plaque in 44.35% (n = 451), bilateral in (82.79%) and peripheral subpleural in (81.51%). The lower lobes were the most affected and postero-basal involvement predominant with greater involvement in the right lung. The extent was severe in 28.42% (n = 289). Thirty-nine point twenty-three (39.23)% or 399 of cases presented with complications dominated by pleural effusion at 56.39% (n = 225) and pulmonary embolism at 34.08% (n = 136 ). The lesions were classified as CORADS type in 815 CT reports. CORADS 5 type lesions were found in 47% of patients. Five hundred and ninety-two (592) PCRs of our patients were undetermined, in 58.21%. The PCR was positive in 342 cases or 33.63%. The bi- and multivariate analysis noted: a statistically significant link between the age and the extent of the lesions, between the extent of the lesions and the clinical context, between the extent of the lesions and comorbidities such as diabetes, Hypertension and renal failure. There was also a link between the PCR result and basic lesions such as ground glass and crazy paving and between the occurrence of pulmonary embolism and the presence of hypertension.

DISCUSSION

The scanographic profile corresponded to that described in the literature. Frosted glass was the most common elementary lesion. The impairment was severe to critical in patients over 65 with comorbidity. CT angiography was the most requested in front of signs such as dyspnea and desaturation CONCLUSION: A study on CT specificities with precision on the onset of symptoms and the notion of vaccination would complement these results.

Applicability of CO-RADS in an Anonymized Cohort Including Early and Advanced Stages of COVID-19 in Comparison to the Recommendations of the German Radiological Society and Radiological Society of North America

PURPOSE

Classifications were created to facilitate radiological evaluation of the novel coronavirus disease 2019 (COVID-19) on computed tomography (CT) images. The categorical CT assessment scheme (CO-RADS) categorizes lung parenchymal changes according to their likelihood of being caused by SARS-CoV-2 infection. This study investigates the diagnostic accuracy of diagnosing COVID-19 with CO-RADS compared to the Thoracic Imaging Section of the German Radiological Society (DRG) classification and Radiological Society of North America (RSNA) classification in an anonymized patient cohort. To mimic advanced disease stages, follow-up examinations were included as well.

METHOD

This study includes all patients undergoing chest CT in the case of a suspected SARS-CoV-2 infection or an already confirmed infection between March 13 and November 30, 2020. During the study period, two regional lockdowns occurred due to high incidence values, increasing the pre-test probability of COVID-19. Anonymized CT images were reviewed retrospectively and in consensus by two radiologists applying CO-RADS, DRG, and RSNA classification. Afterwards, CT findings were compared to results of sequential real-time reverse transcriptase polymerase chain reaction (qPCR) test performed during hospitalization to determine statistical analysis for diagnosing COVID-19.

RESULTS

536 CT examinations were included. CO-RADS, DRG and RSNA achieved an NPV of 96 %/94 %/95 % (CO-RADS/DRG/RSNA), PPV of 83 %/80 %/88 %, sensitivity of 86 %/76 %/80 %, and specificity of 96 %/95 %/97 %. The disease prevalence was 20 %.

CONCLUSION

All applied classifications can reliably exclude a SARS-CoV-2 infection even in an anonymous setting. Nevertheless, pre-test probability was high in our study setting and has a great influence on the classifications. Therefore, the applicability of the individual classifications will become apparent in the future with lower prevalence and incidence of COVID-19.

KEY POINTS

· CO-RADS, DRG, and RSNA classifications help to reliably detect infected patients in an anonymized setting. · Pre-test probability has a great influence on the individual classifications. · Difficulties in an anonymized study setting are severe pulmonary changes and residuals..

CITATION FORMAT

· Valentin B, Steuwe A, Wienemann T et al. Applicability of CO-RADS in an Anonymized Cohort Including Early and Advanced Stages of COVID-19 in Comparison to the Recommendations of the German Radiological Society and Radiological Society of North America. Fortschr Röntgenstr 2022; 194: 862 - 872.

Ferritin, blood urea nitrogen, and high chest CT score determines ICU admission in COVID-19 positive UAE patients: A single center retrospective study

Coronavirus Disease (COVID-19) was declared a pandemic by WHO in March 2020. Since then, additional novel coronavirus variants have emerged challenging the current healthcare system worldwide. There is an increased need for hospital care, especially intensive care unit (ICU), for the patients severely affected by the disease. Most of the studies analyzed COVID-19 infected patients in the hospitals and established the positive correlation between clinical parameters such as high levels of D-dimer, C-reactive protein, and ferritin to the severity of infection. However, little is known about the course of the ICU admission. The retrospective study carried out at University Hospital Sharjah, UAE presented here reports an integrated analysis of the biochemical and radiological factors among the newly admitted COVID-19 patients to decide on their ICU admission. The descriptive statistical analysis revealed that patients with clinical presentations such as acute respiratory distress syndrome (ARDS) (p<0.0001) at the time of admission needed intensive care. The ROC plot indicated that radiological factors including high chest CT scores (>CO-RADS 4) in combination with biochemical parameters such as higher levels of blood urea nitrogen (>6.7 mg/dL;66% sensitivity and 75.8% specificity) and ferritin (>290 μg/mL, 71.4% sensitivity and 77.8% specificity) may predict ICU admission with 94.2% accuracy among COVID-19 patients. Collectively, these findings would benefit the hospitals to predict the ICU admission amongst COVID-19 infected patients.

Identifying Immunological and Clinical Predictors of COVID-19 Severity and Sequelae by Mathematical Modeling

Since its emergence as a pandemic in March 2020, coronavirus disease (COVID-19) outcome has been explored via several predictive models, using specific clinical or biochemical parameters. In the current study, we developed an integrative non-linear predictive model of COVID-19 outcome, using clinical, biochemical, immunological, and radiological data of patients with different disease severities. Initially, the immunological signature of the disease was investigated through transcriptomics analysis of nasopharyngeal swab samples of patients with different COVID-19 severity versus control subjects (exploratory cohort, n=61), identifying significant differential expression of several cytokines. Accordingly, 24 cytokines were validated using a multiplex assay in the serum of COVID-19 patients and control subjects (validation cohort, n=77). Predictors of severity were Interleukin (IL)-10, Programmed Death-Ligand-1 (PDL-1), Tumor necrosis factors-α, absolute neutrophil count, C-reactive protein, lactate dehydrogenase, blood urea nitrogen, and ferritin; with high predictive efficacy (AUC=0.93 and 0.98 using ROC analysis of the predictive capacity of cytokines and biochemical markers, respectively). Increased IL-6 and granzyme B were found to predict liver injury in COVID-19 patients, whereas interferon-gamma (IFN-γ), IL-1 receptor-a (IL-1Ra) and PD-L1 were predictors of remarkable radiological findings. The model revealed consistent elevation of IL-15 and IL-10 in severe cases. Combining basic biochemical and radiological investigations with a limited number of curated cytokines will likely attain accurate predictive value in COVID-19. The model-derived cytokines highlight critical pathways in the pathophysiology of the COVID-19 with insight towards potential therapeutic targets. Our modeling methodology can be implemented using new datasets to identify key players and predict outcomes in new variants of COVID-19.

Chest Computed Tomography Is an Efficient Method for Initial Diagnosis of COVID-19: An Observational Study

Coronavirus disease (COVID-19) is an infectious disease that can lead to pneumonia, pulmonary oedema, acute respiratory distress syndrome, multiple organ and system dysfunction, and death. This study aimed to verify the efficacy of chest computed tomography (CT) for the initial diagnosis of COVID-19. This observational, retrospective, cross-sectional study included 259 individuals who underwent clinical evaluation, blood collection, chest CT, and a reverse transcription polymerase chain reaction (RT-PCR) diagnostic test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during their course of treatment at a reference hospital in Belém, Pará, Brazil between April and June 2020. Inclusion criteria were flu-like symptoms in adults of both sexes. Individuals with an inconclusive COVID-19 molecular test or who had artifacts in the chest CT images were excluded. Parametric data were analyzed using Student-t-test and non-parametric data were analyzed using average test and Fisher exact test. Participants were divided into two groups: Group 1 (COVID-19 positive), n = 211 (124 males, 87 females), 51.8 ± 17.9 years old and Group 2 (COVID-19 negative), n = 48 (22 males, 26 females), 47.6 ± 18.6 years old. Most frequent symptoms were cough [Group 1 n = 199 (94%)/Group 2 n = 46 (95%)], fever [Group 1 n = 154 (72%)/Group 2 n = 28 (58%)], myalgia [Group 1 n = 172 (81%)/Group 2 n = 38 (79%)], dyspnoea [Group 1 n = 169 (80%) / Group 2 n = 37 (77%)], headache [Group 1 n = 163 (77%)/Group 2 n = 32 (66%)], and anosmia [Group 1 n = 154 (73%)/Group 2 n = 29 (60%)]. Group 1 had a higher proportion of ground-glass opacity [Group 1 n = 175 (83%)/Group 2 n = 24 (50%), 0.00], vascular enhancement sign [Group 1 n = 128 (60%)/Group 2 n = 15 (31%), 0.00], septal thickening [Group 1 n = 99 (47%)/Group 2 n = 13 (27%), 0.01], crazy-paving pattern [Group 1 n = 98 (46%) / Group 2 n = 13 (27%), 0.01], consolidations [Group 1 n = 92 (43%)/Group 2 n = 8 (16%), 0.00], and CO-RADS 4 and 5 [Group 1 n = 163 (77.25%)/Group 2 n = 24 (50%), 0.00] categories in chest CT. Chest CT, when available, was found to be an efficient method for the initial diagnosis and better management of individuals with COVID-19.

Management of severe neonatal respiratory distress due to vertical transmission of severe acute respiratory syndrome coronavirus 2: a case report

Background

Neonates with severe acute respiratory syndrome coronavirus 2 infection are usually asymptomatic or have mild to moderate symptoms. Acute respiratory distress syndrome due to severe acute respiratory syndrome coronavirus 2 with respiratory insufficiency is rare. Therefore, information about the best intensive care strategy for neonates requiring mechanical ventilation is lacking. We report a neonatal case of severe acute respiratory distress syndrome, probably due to vertical transmission of severe acute respiratory syndrome coronavirus 2, complicated by Staphylococcus aureus sepsis. We aim to inform pediatric providers on the clinical course and acute management considerations in coronavirus disease-related neonatal acute respiratory distress syndrome.

Case presentation

A late preterm (gestational age 36 0/7 weeks) Caucasian girl was born from a severe acute respiratory syndrome coronavirus 2-positive mother and tested positive for severe acute respiratory syndrome coronavirus 2 at 19 hours after birth. She developed acute respiratory distress syndrome requiring intensive care admission and mechanical ventilation. The clinical course was complicated by S. aureus pneumonia and bacteremia. Multimodal management included well-established interventions for respiratory distress syndrome such as surfactant therapy, high-frequency oscillatory ventilation, and inhaled nitric oxide, combined with therapies extrapolated from adult care for severe acute respiratory syndrome coronavirus 2 patients such as dexamethasone, coronavirus disease 2019-specific immunoglobins, and prophylactic low-molecular-weight heparin. The neonate was successfully weaned from the ventilator and improved clinically.

Conclusion

This case shows a rare but serious neonatal severe acute respiratory syndrome coronavirus 2 infection, leading to severe acute respiratory distress syndrome. Because of limited therapy guidelines for neonates, we suggest multimodal management with awareness of the possibility of S. aureus coinfection, to treat this age group successful.

COVID 19 disease independently predicted endothelial dysfunction measured by flow-mediated dilatation

The systemic effects of COVID-19 disease are still largely uncertain and needs to be scrutinized with further trials. Endothelial dysfunction (ED) is responsible for the majority of adverse cardiovascular events. Flow-mediated dilation (FMD) is easily obtainable method to assess ED accurately. It is aimed to evaluate ED by measuring FMD following COVID-19 disease. Patients diagnosed with COVID-19 disease were recruited to the hospital two month after the discharge. Sex and age-matched healthy subjects were determined as the control group. Blood samples and FMD measurements were obtained from each participant. All subjects were divided into two groups according to the presence of ED determined by FMD measurements. These two groups were compared in terms of demographic features and the presence of recovered COVID-19 disease. A total of 92 subjects consisting of 59 without ED and 33 with ED were included in the study. ED (+) group was older (p = 0.015) and more likely to have hypertension (p = 0.044) and COVID-19 rate was higher in ED (+) group (p = 0.009). While neutrophil count (p = 0.047) and CRP (p = 0.036) were higher, eGFR (p = 0.044) was lower in ED (+) group. In the backward multivariable regression analysis, COVID-19 disease [OR = 3.611, 95% CI 1.069-12.198, p = 0.039] and BMI [OR = 1.122, 95% CI 1.023-1.231, p = 0.015] were independent predictors of ED. COVID-19 disease may cause ED which is the major underlying factor of cardiovascular diseases. Furthermore, COVID-19 disease may deteriorate the existing cardiovascular disease course. Detecting ED in the early phase or preventing by new treatment modalities may improve short and long-term outcome.

Thyroid Hormone Levels During Hospital Admission Inform Disease Severity and Mortality in COVID-19 Patients

Background: Illness severity in patients infected with COVID-19 is variable. Methods: Here, we conducted an observational, longitudinal, and prospective cohort study to investigate serum thyroid hormone (TH) levels in adult COVID-19 patients, admitted between June and August 2020, and to determine whether they reflect the severity or mortality associated with the disease. Results: Two hundred forty-five patients [median age: 62 (49-75) years] were stratified into non-critical (181) and critically ill (64) groups. Fifty-eight patients (23.6%) were admitted to the intensive care unit, and 41 (16.7%) died. Sixteen (6.5%) exhibited isolated low levels of free triiodothyronine (fT3). fT3 levels were lower in critically ill compared with non-critical patients [fT3: 2.82 (2.46-3.29) pg/mL vs. 3.09 (2.67-3.63) pg/mL, p = 0.007]. Serum reverse triiodothyronine (rT3) was mostly elevated but less so in critically ill compared with non-critical patients [rT3: 0.36 (0.28-0.56) ng/mL vs. 0.51 (0.31-0.67) ng/mL, p = 0.001]. The univariate logistic regression revealed correlation between in-hospital mortality and serum fT3 levels (odds ratio [OR]: 0.47; 95% confidence interval [CI 0.29-0.74]; p = 0.0019), rT3 levels (OR: 0.09; [CI 0.01-0.49]; p = 0.006) and the product fT3 × rT3 (OR: 0.47; [CI 0.28-0.74]; p = 0.0026). Serum thyrotropin, free thyroxine, and fT3/rT3 values were not significantly associated with mortality and severity of the disease. A serum cutoff level of fT3 (≤2.6 pg/mL) and rT3 (≤0.38 ng/mL) was associated with 3.46 and 5.94 OR of mortality, respectively. We found three COVID-19 mortality predictors using the area under the receiver operating characteristic (ROC) curve (AUC score): serum fT3 (AUC = 0.66), rT3 (AUC = 0.64), and the product of serum fT3 × rT3 (AUC = 0.70). Non-thyroidal illness syndrome (fT3 < 2.0 pg/mL) was associated with a 7.05 OR of mortality ([CI 1.78-28.3], p = 0.005) and the product rT3 × fT3 ≤ 1.29 with an 8.08 OR of mortality ([CI 3.14-24.2], p < 0.0001). Conclusions: This prospective study reports data on the largest number of hospitalized moderate-to-severe COVID-19 patients and correlates serum TH levels with illness severity, mortality, and other biomarkers to critical illness. The data revealed the importance of early assessment of thyroid function in hospitalized patients with COVID-19, given the good prognostic value of serum fT3, rT3, and fT3 × rT3 product. Further studies are necessary to confirm these observations.