Is leukopenia and lymphopenia a characteristic feature of COVID-19 in children?

A cross-sectional study on clinical characteristics and severity of children with COVID-19 admitted to a teaching institute in North India

Background

SARS-CoV-2 infection presentation in children is usually milder than in adults but can be severe and fatal as well. Data on the pediatric population regarding severity and clinical presentation are still limited, and there is a need to have a better understanding of clinical features, severity, and laboratory parameters.

Aims and Objective

To document clinical and laboratory characteristics and outcomes of children with SARS-CoV-2 in a low-middle-income country and to evaluate clinicodemographic factors and biochemical markers associated with severity and mortality.

Materials and Methods

A hospital-based cross-sectional study was conducted among 112 COVID-19-positive children at a designated Level-3 center in North India. Clinical characteristics, laboratory parameters, and severity of COVID-19 cases as well as factors associated with the severity of the disease, were analyzed by descriptive statistics and a Chi-square test.

Results

The adolescent age group (age 12-18 years) was affected most (64.3%). Male patients accounted for 56.3% of total cases. Fever was the most common symptom (41.1%) followed by cough. Presenting complaints were highest from the respiratory system (32.1%) followed by the gastrointestinal (8.9%) and the neurological system (7.1%). Majority of patients had mild disease (87%) while 13% had the moderate-severe disease. Spo2 < 95% (P = 0.00001), neutrophilia (P < 0.000001), lymphopenia (P < 0.000001), elevated values of C-reactive protein (P < 0.00001), Interleukin-6 (P = 0.002), D- dimer (P = 0.00014) and respiratory symptoms as presenting complaints (P < 0.000001) were found to be significantly associated with severity of disease.

Conclusion

The male and adolescent age group was affected most. Presenting complaints were highest from the respiratory system. Unusual presentation may have gastrointestinal or neurological presentation. Most children with COVID-19 had mild disease. Moderate to severe disease was not uncommon. Factors including neutrophilia, lymphopenia, elevated lab values of C-reactive protein, D-dimer, and interleukin-6 had a significant association with the severity of the disease. These biomarkers can help predict the severity of the disease.

Clinical presentation, diagnosis and management of multisystem inflammatory syndrome in children (MIS-C): a systematic review

BACKGROUND

Knowledge about multisystem inflammatory syndrome in children (MIS-C) is evolving, and evidence-based standardised diagnostic and management protocols are lacking. Our review aims to summarise the clinical and diagnostic features, management strategies and outcomes of MIS-C and evaluate the variances in disease parameters and outcomes between high-income countries (HIC) and middle-income countries (MIC).

METHODS

We searched four databases from December 2019 to March 2023. Observational studies with a sample size of 10 or more patients were included. Mean and prevalence ratios for various variables were pooled by random effects model using R. A mixed generalised linear model was employed to account for the heterogeneity, and publication bias was assessed via funnel and Doi plots. The primary outcome was pooled mean mortality among patients with MIS-C. Subgroup analysis was conducted based on the income status of the country of study.

RESULTS

A total of 120 studies (20 881 cases) were included in the review. The most common clinical presentations were fever (99%; 95% CI 99.6% to 100%), gastrointestinal symptoms (76.7%; 95% CI 73.1% to 79.9%) and dermatological symptoms (63.3%; 95% CI 58.7% to 67.7%). Laboratory investigations suggested raised inflammatory, coagulation and cardiac markers. The most common management strategies were intravenous immunoglobulins (87.5%; 95% CI 82.9% to 91%) and steroids (74.7%; 95% CI 68.7% to 79.9%). Around 53.1% (95% CI 47.3% to 58.9%) required paediatric intensive care unit admissions, and overall mortality was 3.9% (95% CI 2.7% to 5.6%). Patients in MIC were younger, had a higher frequency of respiratory distress and evidence of cardiac dysfunction, with a longer hospital and intensive care unit stay and had a higher mortality rate than patients in HIC.

CONCLUSION

MIS-C is a severe multisystem disease with better mortality outcomes in HIC as compared with MIC. The findings emphasise the need for standardised protocols and further research to optimise patient care and address disparities between HIC and MIC.

PROSPERO REGISTRATION NUMBER

CRD42020195823.

Vitamin D Levels in COVID-19 and NonCOVID-19 Pediatric Patients and Its Relationship with Clinical and Laboratory Characteristics

25-hydroxyvitamin D [25(OH)D] is a marker with an important role in regulating the inflammatory response. Low concentrations of this vitamin are often found among the population, correlated with increased risk of respiratory tract infections. The aim of the study is to evaluate the relationship between vitamin D levels and clinical and laboratory markers in children and adolescents hospitalized with and without COVID-19. A retrospective study, including all patients tested for SARS-CoV-2 and having vitamin D measured, was performed. All included hospitalized cases, 78 COVID-19 patients and 162 NonCOVID-19 patients, were divided into subgroups according to their 25(OH)D serum levels (<20 ng/mL-deficiency, 20-30 ng/mL-insufficiency, ≥30 ng/mL-normal or <30 ng/mL, ≥30 ng/mL) and age (≤2 years, >2 years). Vitamin D deficiency and insufficiency increased with age, in both COVID-19 and NonCOVID-19 groups. All symptoms were encountered more frequently in cases of pediatric patients with COVID-19 in comparison with NonCOVID-19 cases. The most frequently encountered symptoms in the COVID-19 group were fever, loss of appetite, and nasal congestion. In the NonCOVID-19 group, serum 25(OH)D concentrations were positively correlated with leukocytes, lymphocytes, and LMR and negatively correlated with neutrophils, NLR, and PLR while no significant correlation was observed in the case of COVID-19 group. Differences between vitamin D status and clinical and laboratory parameters were observed, but their clinical significance should be interpreted with caution. The results of this study may offer further support for future studies exploring the mechanisms of the relationship between vitamin D and clinical and laboratory markers as well as for studies investigating the implications of vitamin D deficiency/supplementation on overall health/clinical outcomes of patients with/without COVID-19.

COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador

The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many casualties worldwide. Immediate and precise screening of affected patients is critical for disease control. COVID-19 is often confused with various other respiratory disorders since the symptoms are similar. As of today, the reverse transcription-polymerase chain reaction (RT-PCR) test is utilized for diagnosing COVID-19. However, this approach is sometimes prone to producing erroneous and false negative results. Hence, finding a reliable diagnostic method that can validate the RT-PCR test results is crucial. Artificial intelligence (AI) and machine learning (ML) applications in COVID-19 diagnosis has proven to be beneficial. Hence, clinical markers have been utilized for COVID-19 diagnosis with the help of several classifiers in this study. Further, five different explainable artificial intelligence techniques have been utilized to interpret the predictions. Among all the algorithms, the k-nearest neighbor obtained the best performance with an accuracy, precision, recall and f1-score of 84%, 85%, 84% and 84%. According to this study, the combination of clinical markers such as eosinophils, lymphocytes, red blood cells and leukocytes was significant in differentiating COVID-19. The classifiers can be utilized synchronously with the standard RT-PCR procedure making diagnosis more reliable and efficient.

Innate immune dysregulation in multisystem inflammatory syndrome in children (MIS-C)

MIS-C is a systemic inflammation disorder with poorly characterised immunopathological mechanisms. We compared changes in the systemic immune response in children with MIS-C (n = 12, 5-13 years) to healthy controls (n = 14, 5-15 years). Analysis was done in whole blood treated with LPS. Expression of CD11b and Toll-like receptor-4 (TLR4) in neutrophils and monocytes were analysed by flow cytometry. Serum cytokines (IL-1β, IL-2, IL-6, IL-8, IL-10, IL-Ira, TNF-α, TNF-β, IFN-Υ, VEGF, EPO and GM-CSF) and mRNA levels of inflammasome molecules (NLRP3, ASC and IL-1β) were evaluated. Subpopulations of lymphocytes (CD3+, CD19+, CD56+, CD4+, CD8+, TCR Vδ1+, TCR Vδ2+) were assessed at basal levels. Absolute counts of neutrophils and NLR were high in children with MIS-C while absolute counts of lymphocytes were low. Children with MIS-C had increased levels of IL-6, IL-10, TNF-β and VEGF serum cytokines at the basal level, and significantly increased TNF-β post-LPS, compared to controls. IL-1RA and EPO decreased at baseline and post-LPS in MIS-C patients compared to controls. The percentage of CD3+ cells, NK cells and Vδ1 was lower while B cells were higher in children with MIS-C than in controls. Dysregulated immune response in children with MIS-C was evident and may be amenable to immunomodulation.

A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence

The coronavirus pandemic emerged in early 2020 and turned out to be deadly, killing a vast number of people all around the world. Fortunately, vaccines have been discovered, and they seem effectual in controlling the severe prognosis induced by the virus. The reverse transcription-polymerase chain reaction (RT-PCR) test is the current golden standard for diagnosing different infectious diseases, including COVID-19; however, it is not always accurate. Therefore, it is extremely crucial to find an alternative diagnosis method which can support the results of the standard RT-PCR test. Hence, a decision support system has been proposed in this study that uses machine learning and deep learning techniques to predict the COVID-19 diagnosis of a patient using clinical, demographic and blood markers. The patient data used in this research were collected from two Manipal hospitals in India and a custom-made, stacked, multi-level ensemble classifier has been used to predict the COVID-19 diagnosis. Deep learning techniques such as deep neural networks (DNN) and one-dimensional convolutional networks (1D-CNN) have also been utilized. Further, explainable artificial techniques (XAI) such as Shapley additive values (SHAP), ELI5, local interpretable model explainer (LIME), and QLattice have been used to make the models more precise and understandable. Among all of the algorithms, the multi-level stacked model obtained an excellent accuracy of 96%. The precision, recall, f1-score and AUC obtained were 94%, 95%, 94% and 98% respectively. The models can be used as a decision support system for the initial screening of coronavirus patients and can also help ease the existing burden on medical infrastructure.

Coronavirus Disease 2019 in Pediatric Emergency Room: The Dilemma of Cycle Threshold Value

Objective The havoc caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic could not have been predicted, with children being affected worldwide. Testing for SARS-CoV-2 infection helped to define the interventions against the spread of the disease. A polymerase chain reaction (PCR) test has been the mainstay of diagnostic testing. Cycle threshold (Ct) is a semiquantitative value that indicates approximately how much viral genetic material was in the sample. The aim of this study was to evaluate the impact of Ct values among children with SARS-CoV-2 infection.

Methods Between May 3, 2020 and August 3, 2020, clinical laboratory input and the data of patients with positive SARS-CoV-2 PCR tests were retrospectively studied.

Results There was no statistical significance between Ct values and the patient's status, symptoms other than fever, or other laboratory findings. However, the Ct value of patients who had symptoms at the time of admission to the hospital was significantly lower.

Conclusion In this study, symptomatic patients had lower Ct than asymptomatic patients that reflected higher viral loads. In evidence-based medicine applications, it might be useful to correlate the clinical history with laboratory test results. Even symptomatic patients with high Ct value coinfections, or an alternative acute infection, should be considered.

Biomarker Changes in Pediatric Patients With COVID-19: A Retrospective Study from a Single Center Database

BACKGROUND/AIM

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for generating a global pandemic with deadly consequences and life changes worldwide. With the appearance of the new variants of the virus, clinical manifestations have been reported in the pediatric population, some with severe evolution. The aim of this study was to identify the laboratory parameters necessary to establish an effective therapy.

PATIENTS AND METHODS

In the period from August 2020 to September 2021, 234 pediatric patients met the inclusion criteria and were selected for the study. After confirming the COVID-19 diagnosis, laboratory parameters were analyzed and compared to the severity of the illness.

RESULTS

Thrombocytopenia (p<0.001), leukocytosis (p<0.001), and lymphopenia (p<0.001) correlated with the severity of the disease. Also, D-dimer values were closely monitored due to the high association of this parameter with an unsatisfactory prognosis and a severe form of the disease.

CONCLUSION

The D-dimer values and complete blood count are useful parameters in COVID-19 evaluation in children.

Perioperative Course of COVID-19 in Pediatric Patients Undergoing Emergency Surgeries

OBJECTIVE

Adults with COVID-19 infection undergoing surgery have an increased risk of complications and mortality. However, literature mentioning the perioperative course and outcome of children with COVID-19 infection undergoing emergency surgery is still lacking. Therefore, we planned this study to observe the need for postoperative ventilation, oxygen requirements, and postoperative mortality in pediatric patients with COVID-19 infection scheduled for emergency surgery.

METHODS

After ethical committee approval, all the COVID-19-infected pediatric patients who underwent an emergency surgery from April 2020 to May 2021 were included. Data collected included details of COVID-19 disease, American Society of Anesthesiology (ASA) grading, comorbidities, perioperative details such as tachycardia or bradycardia, any oxygen desaturation (SpO2<90), need for postoperative oxygen therapy, postoperative ventilation, and recovery/death.

RESULTS

A total of 22 COVID-19-infected pediatric patients underwent emergency surgery in the study period. Fourteen (63.6%) were asymptomatic at the time of admission. Nineteen patients (86.4%) belonged to ASA grade IE and three (13.6%) patients belonged to ASA grade III E. Three patients (13.6%) had comorbidities. Only one patient had hypotension and tachycardia intraoperatively. The same patient needed postoperative ventilation and succumbed.

CONCLUSION

Our study shows that pediatric surgical patients with COVID-19 infection do not exhibit an increased need for oxygen or postoperative ventilation, postoperative pulmonary complications, or high mortality unless there is associated comorbidity.

A retrospective study of age-defined hematologic inflammatory markers related to pediatric COVID-19 diagnosis

Background

The aim of this study was to examine age‐related differences in hemogram parameters and hematologic inflammatory markers in pediatric patients with COVID‐19.

Methods

This retrospective study included children aged 2 months to 18 years (n = 208) who have a confirmed diagnosis of COVID‐19 and a control group comprising 117 healthy children between February 2021 and July 2021. The analysis of subgroup hematological values were performed according to the children's age cutoffs.

Results

The most significant difference between pediatric patients with COVID‐19 and controls were peripheral blood eosinophil counts and eosinophil‐to‐monocyte ratio (EMR) levels on admission. The levels of monocyte‐to‐lymphocyte ratio, aggeregate index of systemic inflammation (neutrophil × platelet × monocyte/lymphocyte), neutrophil‐to‐ lymphocyte × platelet ratio, and systemic inflammation response index (neutrophil × monocyte/ lymphocyte) were higher in patients than in controls. EMR had the highest area under the curve (AUC) value of 0.777, with a cutoff value of 0.26. The sensitivity for EMR was 75% under 2 years of age, and between 78.6–87.5% in the other age groups.

Conclusion

In children younger than 6 months, the discriminative power of hematological indices is low, while the discriminative power of EMR is high at all ages when age appropriate cutoffs are used. Hematological inflammatory parameters may be particularly practical in pediatric clinics to help identify COVID‐19 infection.

Comparison of Clinical and Diagnostic Features of Pediatric Oncology Patients With or Without COVID-19 Infection: A Retrospective Chart Review

There is a scarcity of data summarizing the clinical picture, laboratory, and imaging findings and outcome in children with malignancy and coronavirus disease 2019 (COVID-19) infection. This study characterizes a detailed comparison of pediatric oncology patients with and without COVID infection. A retrospective study was conducted at The Indus Hospital, Karachi, from March 2020 to June 2020. Clinical presentation, laboratory and imaging findings, disease severity, and outcome were compared between cohorts. The mean age of children with and without COVID was 8.0±4.9 and 7.4±4.1 years, respectively. Hematologic malignancy comprised the largest number of patients, followed by solid tumors. Lymphocytosis and low neutrophil-lymphocyte ratio was observed in the COVID positive group. Cardiac dysfunction (1.4% vs. 0%), acute respiratory distress syndrome (8% vs. 0%) and lower peripheral capillary oxygen saturation/fraction of inspired oxygen ratio (473 vs. 486) found to be associated with severe disease in COVID positive group (P<0.05). Overall mortality in children with COVID was 6.8% versus 2.7% in children without COVID. Pediatric patients with malignancy have different clinical features and laboratory parameters as compared with children without malignancy. Acute respiratory distress syndrome, absolute lymphocytosis and low neutrophil-lymphocyte ratio is associated with severe disease in children with malignancy and COVID infection. In contrast to adults, biochemical markers and complete blood count parameters do not help recognize COVID infection in pediatric patients with malignancy.

Prevalence of paediatric hyperinflammatory conditions in paediatric and adolescent hospitalized COVID-19 patients: a systematic review and meta-analysis

In the milieu of coronavirus disease 2019 (COVID-19), there are increasing reports of paediatric hyperinflammatory conditions (PHICs), including multisystem inflammatory syndrome in children (MIS-C), paediatric multisystem inflammatory syndrome temporally associated with SARS-CoV-2 (PIMS-TS) and Kawasaki disease (KD). Few analyses of PHIC prevalence in paediatric and adolescent hospitalized COVID-19 patients exist. The purpose of this study was to perform a meta-analysis to determine a pooled prevalence estimate of PHICs in paediatric and adolescent hospitalized patients admitted for treatment due to COVID-19. Individual studies were retrieved from PubMed/Medline, EMBASE and Cochrane databases. Relevant prevalence, baseline, treatment and outcome data were extracted using a standardized datasheet. The systematic review and meta-analysis were conducted as per the PRISMA and MOOSE guidelines. Overall, 14 studies with 2202 patients admitted for treatment due to COVID-19, among whom 780 were diagnosed with PHICs, were included. The crude estimate of prevalence was 35.42%, and the pooled estimate of prevalence was 29% (random pooled ES = 0.29; 95% CIs = 0.18-0.42; p < 0.0001; z = 7.45). A sizeable proportion of paediatric and adolescent hospitalized patients admitted for treatment due to COVID-19 are diagnosed with a PHIC warranting a high index of clinical suspicion for PHICs. Further studies are required to validate these findings.

Risk factors for poor prognosis in children and adolescents with COVID-19: A systematic review and meta-analysis

BACKGROUND

This study provides the first systematic review and meta-analysis to identify the predictors of unfavorable prognosis of COVID-19 in children and adolescents.

METHODS

We searched literature databases until July 2021 for studies that investigated risk factors for unfavorable prognosis of children and adolescents with COVID-19. We used random-effects models to estimate the effect size with 95% confidence interval (CI).

FINDINGS

We identified 56 studies comprising 79,104 individuals. Mortality was higher in patients with multisystem inflammatory syndrome (MIS-C) (odds ratio [OR]=58.00, 95% CI 6.39-526.79) and who were admitted to intensive care (OR=12.64, 95% CI 3.42-46.68). Acute respiratry distress syndrme (ARDS) (OR=29.54, 95% CI 12.69-68.78) and acute kidney injury (AKI) (OR=55.02, 95% CI 6.26-483.35) increased the odds to be admitted to intensive care; shortness of breath (OR=16.96, 95% CI 7.66-37.51) increased the need of respiratory support; and neurological diseases (OR=5.16, 95% CI 2.30-11.60), C-reactive protein (CRP) level ≥80 mg/L (OR=11.70, 95% CI 4.37-31.37) and D-dimer level ≥0.5ug/mL (OR=20.40, 95% CI 1.76-236.44) increased the odds of progression to severe or critical disease.

INTERPRETATION

Congenital heart disease, chronic pulmonary disease, neurological diseases, obesity, MIS-C, shortness of breath, ARDS, AKI, gastrointestinal symptoms, elevated CRP and D-dimer are associated with unfavourable prognosis in children and adolescents with COVID-19.

COVID-19 in Children: Clinical Presentations and Outcomes in Fayoum Governorate, Egypt

Background: The number of children with coronavirus disease 2019 (COVID-19) significantly increased with limited data available about Egyptian children infected with COVID-19. Objectives: The study was performed early in the pandemic to address and record different clinical presentations of COVID-19 in Egyptian children in Fayoum Governorate and determine the percentage of children with complicated COVID-19 infection. The present article describes some epidemiological characteristics, along with the clinical patterns, laboratory and radiological findings, and outcomes of pediatric patients with COVID-19 in Fayoum Governorate. Methods: A total of 200 Egyptian children with COVID-19 in Fayoum Governorate were included in this study. This study was conducted from the beginning of June 2020 to the end of October 2020. In this study, 192 children (96%) had a history of contact with either suspected or confirmed COVID-19 cases in relatives. The age, gender, clinical symptoms, signs, and laboratory results were estimated. Results: About a tenth of the patients (n = 19; 9.5%) were asymptomatic. Fever and diarrhea were the most common symptoms at presentation, as it was identified in 81 children (40.5%). Lymphopenia was observed in 46.5% of the patients. The majority of the patients with respiratory symptoms had normal findings in chest X-rays (92.5%). Chest opacity was reported in 11 patients (5.5%). According to chest computed tomography, bilateral ground-glass opacity was identified in 16 patients (8.0%). Five hospitalized cases (2.5%) developed severe non-respiratory complications. One death was reported in this study. Conclusions: The COVID-19 can affect children at any age with variable presentations ranging from asymptomatic to severe symptomatic phenotypes requiring intensive care interventions.