Updates on postinfectious skin rashes in pediatric dermatology.

PURPOSE OF REVIEW: This review provides updates on postinfectious skin rashes in the pediatric population from recently published literature. RECENT FINDINGS: The COVID-19 pandemic and its sequelae remain a focus of research on pediatric infectious skin rashes. Multisystem inflammatory syndrome in children (MIS-C) and reactive infectious mucocutaneous eruption (RIME) are common complications of infection with SARS-COV-2 in the pediatric population. Most cases of MIS-C show low mortality and suggest mucocutaneous symptoms do not correlate with COVID-19 disease severity. Cases of papular acrodermatitis of childhood, also known as Gianotti-Crosti, have also been reported in association with SARS-COV-2, and can present similarly in reaction to other viral infection like molluscum contagiosum, known as a Gianotti-Crosti syndrome-like reaction (GCLR). Other relevant studies on postinfectious skin rashes include updates on the management of staphylococcal scalded skin syndrome (SSSS), with newer evidence advocating for beta-lactam monotherapy without clindamycin and reduced ancillary testing. Finally, the emergence of antifungal resistance due to Trichophyton indotinae is a growing global health concern emphasizing the need for improved antifungal stewardship. SUMMARY: It is prudent for clinicians to be informed of both common and rare diagnoses that have emerged more recently in association with the COVID-19 pandemic, in addition to other diseases with newer evidence-based recommendations to guide management.

Acute liver failure with a massive upper GI bleed meeting the criteria of MIS-C.

Multisystem inflammatory syndrome in children (MIS-C) is a known complication of COVID-19. There is still limited knowledge about this condition. Here, we report the case of a previously healthy toddler boy, who presented with acute liver failure and duodenal lesions resulting in severe haematemesis and haemorrhagic shock, requiring intensive care unit care. The patient had persistent transaminitis, a deranged coagulation profile, inflammatory markers were elevated, and laboratory tests were negative for common infectious hepatitis aetiologies as well as COVID-19 Reverse transcription polymerase chain reaction. His COVID-19 antibody was reactive. Upper gastrointestinal endoscopy revealed a Forrest grade III duodenal ulcer. Looking into the constellation of symptoms and laboratory findings a confirmed diagnosis of acute viral hepatitis caused by MIS-C was made. Hence, he was given intravenous methylprednisolone along with intravenous immunoglobulins, after which he improved clinically and transaminitis resolved. The patient was discharged on clinical improvement and was doing fine on follow-up up to 6 months.

Machine learning models to predict systemic inflammatory response syndrome after percutaneous nephrolithotomy.

OBJECTIVE: The objective of this study was to develop and evaluate the performance of machine learning models for predicting the possibility of systemic inflammatory response syndrome (SIRS) following percutaneous nephrolithotomy (PCNL). METHODS: We retrospectively reviewed the clinical data of 337 patients who received PCNL between May 2020 and June 2022. In our study, 80% of the data were used as the training set, and the remaining data were used as the testing set. Separate prediction models based on the six machine learning algorithms were created using the training set. The predictive performance of each machine learning model was determined by the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity and specificity using the testing set. We used coefficients to interpret the contribution of each variable to the predictive performance. RESULTS: Among the six machine learning algorithms, the support vector machine (SVM) delivered the best performance with accuracy of 0.868, AUC of 0.942 (95% CI 0.890-0.994) in the testing set. Further analysis using the SVM model showed that prealbumin contributed the most to the prediction of the outcome, followed by preoperative urine culture, systemic immune-inflammation (SII), neutrophil to lymphocyte ratio (NLR), staghorn stones, fibrinogen, operation time, preoperative urine white blood cell (WBC), preoperative urea nitrogen, hydronephrosis, stone burden, sex and preoperative lymphocyte count. CONCLUSION: Machine learning-based prediction models can accurately predict the possibility of SIRS after PCNL in advance by learning patient clinical data, and should be used to guide surgeons in clinical decision-making.

COVID-19, MIS-C, and long COVID in pediatric patients: an update.

COVID-19, the disease caused by SARS-CoV-2, has been disruptive worldwide. It was primarily a respiratory disease that affected many of the medically vulnerable, but the true impact of postacute sequelae of SARS-CoV-2 (PASC), which has been demonstrated to involve all organ systems, is now coming to light. In addition, a new disease entity emerged, multisystem inflammatory syndrome in children (MIS-C), which has had significant morbidity and mortality associated with it. This issue reviews the presentation, evaluation, and management of patients with COVID-19, MIS-C, and PASC. Additionally, the current literature supporting public health measures, as well as COVID-19 vaccinations and their complications are discussed.

Multisystem Inflammatory Syndrome in Neonates Associated with COVID-19 in Neonatal ICU of a Tertiary Care Hospital.

OBJECTIVE: Neonatal multisystem inflammatory syndrome (MIS-N) is a unique disease of neonates described in several case reports from all over the world with a myriad of presentations and the emergence of new cases. STUDY DESIGN: Retrospective case series. Place and Duration of the Study: Department of Paediatrics, Fazaia Medical College, Pakistan Air Force Hospital, Islamabad, Pakistan, from December 2021 to November 2022. METHODOLOGY: The study was conducted on neonates who were managed as MIS-N in the neonatal ICU. Data were collected and analysed on SPSS version 24. RESULTS: Patients in this study ranged from newborns to 13 days of age with a mean age of 3.27 ± 4.29 days and average gestational age of 35.18 ± 3.67 weeks. Among these neonates, 7 (63.6%) had bleeding diathesis, 11 (100%) had seizures, 8 (72.2%) presented with haemodynamic instability and shock, and 7 (63.3%) had signs of heart failure. All neonates (100%) had markedly raised SARS-CoV2 IgG antibodies, CRP, ferritin, D-dimers, interleukin 6, procalcitonin, 10 (90.9%) had hypoalbuminemia, and 7 (63.3%) had deranged coagulation profile. Cardiac involvement was seen in all neonates (100%) with raised proBNP and myocardial dysfunction on echocardiography. Pulmonary hypertension was present in 6 (54.4%) neonates. High mortality was observed at 6 (54.5%) among which 4 (66.6%) were premature neonates. CONCLUSION: MIS-N is a new disease entity which is still under research. There is a high propensity for cardiovascular system involvement and higher mortality among preterm neonates. KEY WORDS: Neonatal multisystem inflammatory syndrome (MIS-N), Multisystem inflammatory syndrome in children (MIS-C), SARS-CoV2 infection, SARS-CoV2 spike protein, SARS-CoV2 IgG antibodies.

Proteomic profiling reveals diagnostic signatures and pathogenic insights in multisystem inflammatory syndrome in children.

Multisystem inflammatory syndrome in children (MIS-C) is a severe disease that emerged during the COVID-19 pandemic. Although recognized as an immune-mediated condition, the pathogenesis remains unresolved. Furthermore, the absence of a diagnostic test can lead to delayed immunotherapy. Using state-of-the-art mass-spectrometry proteomics, assisted by artificial intelligence (AI), we aimed to identify a diagnostic signature for MIS-C and to gain insights into disease mechanisms. We identified a highly specific 4-protein diagnostic signature in children with MIS-C. Furthermore, we identified seven clusters that differed between MIS-C and controls, indicating an interplay between apolipoproteins, immune response proteins, coagulation factors, platelet function, and the complement cascade. These intricate protein patterns indicated MIS-C as an immunometabolic condition with global hypercoagulability. Our findings emphasize the potential of AI-assisted proteomics as a powerful and unbiased tool for assessing disease pathogenesis and suggesting avenues for future interventions and impact on pediatric disease trajectories through early diagnosis.

[Hyperinflammatory immune response syndrome PIMS-TS]. / «Nachwehen¼: Hyperinflammatorisches Immunreaktionssyndrom PIMS-TS.

INTRODUCTION: PIMS-TS is a rare hyperinflammatory immune response syndrome, usually occurring two to six weeks after SARS-CoV-2 infection, which mainly affects schoolchildren and is often associated with the need for intensive care (2). The most common clinical signs are high fever, gastrointestinal symptoms such as abdominal pain, vomiting and diarrhea, cardiovascular dysfunction (impaired LVEF, hypotension, shock) and neurological symptoms such as headache and encephalopathy (1, 2, 4). The definition criteria include various clinical and laboratory parameters, which vary slightly depending on the authors (4, 6, 7). With intensive care treatment with circulatory support and administration of methylprednisolone, mortality and long-term consequences remain low.

Are we overdiagnosing multisystem inflammatory syndrome in children (MIS-C)? A case series of children with bacterial infection mimicking MIS-C.

INTRODUCTION: Multisystem inflammatory syndrome in children (MIS-C) is a serious hyperinflammatory condition associated with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Usually, the diagnosis of MIS-C is made by criteria defined by international organizations, which include specific clinical features, laboratory findings, and evidence of SARS-CoV-2 infection. We hereby present a case series of three children. The objective of this case series, involving chart review of medical records of children admitted with MIS-C, is to emphasize that the features of MIS-C may overlap with other conditions. CASE PRESENTATION: Three children were presented with MIS-C based on World Health Organization (WHO) criteria and given treatment for the same. However, due to persistent symptoms, they were further worked up and diagnosed to have underlying bacterial infections which included liver abscess, enteric fever, or urinary tract infection. CONCLUSIONS: The criteria for MIS-C may overlap with other conditions, particularly bacterial infection that may lead to overdiagnosis of MIS-C. Therefore, one should be very careful in making an MIS-C diagnosis and other differential diagnoses should be considered when the symptoms persist or worsen.

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.

Programmed Cell Death Protein-1 Regulation in Response to SARS-CoV-2 in Paediatric Multisystem Inflammatory Syndrome Temporally Associated with SARS-CoV-2: A Prospective Cohort Study.

The role of programmed death cell protein 1 (PD-1) has already been described in a range of various diseases, including COVID-19. This study provides new, innovative data, related to the expression of PD-1 and the risk of Paediatric Inflammatory Multisystem Syndrome, temporally associated with SARS-CoV-2 infection (PIMS-TS)-a rare, but potentially life-threatening complication of COVID-19. In this study, we evaluated the expression of PD-1 protein in patients with PIMS. Blood samples were taken from patients at the time of diagnosis (n = 33), after 6 weeks (n = 33), 3 months (n = 24), 6 months (n = 24) and 12 months (n = 8). The immunophenotypes were evaluated in flow cytometry. The control group consisted of 35 healthy children with negative SARS-CoV-2 antigen/PCR test, who were asymptomatic and had no history of allergic, autoimmune or oncological diseases. The associations between immunophenotypes, biochemical findings and clinical data were analysed. Significant increases in the expression of PD-1 for CD4+ and CD8+ T cells, compared to the control group, were observed in the day of admission, with a gradual decrease during the first weeks from initiation of treatment. This study sheds new light on the pathogenesis of PIMS-TS, emphasizing the role of PD-1 protein. Future research is essential for early risk prediction in SARS-CoV-2 patients and for devising effective clinical prevention and management strategies.

Rocky Mountain Spotted Fever Mimicking Multisystem Inflammatory Syndrome in Hospitalized Children, Sonora, Mexico.

We describe 5 children who had Rocky Mountain spotted fever (RMSF) and manifested clinical symptoms similar to multisystem inflammatory syndrome in Sonora, Mexico, where RMSF is hyperendemic. Physicians should consider RMSF in differential diagnoses of hospitalized patients with multisystem inflammatory syndrome to prevent illness and death caused by rickettsial disease.

[Kawasaki disease versus Multisystem Inflammatory Syndrome COVID-19 with Kawasaki disease phenotype. Single-center experience]. / Enfermedad de Kawasaki versus Síndrome Inflamatorio Multisistémico COVID 19 con fenotipo enfermedad de Kawasaki. Experiencia de un centro.

In pediatrics, a process called Pediatric Inflammatory Multisystem Syndrome (PIMS) associated with recent infection by SARS-CoV-2 virus has been observed. One of its variants presents similarities with Kawasaki disease (KD). OBJECTIVE: to compare the clinical presentation, laboratory testing, and evolution of KD with PIMS Kawasaki phenotype (PIMS-KD) in patients hospitalized before the pandemic, compared with the pandemic period. PATIENTS AND METHOD: Cross-sectional study in two groups of patients at the Hospital Exequiel González Cortés: typical KD (group 1) and PIMS-KD (group 2). Data on demographic, clinical, and biochemical details were collected, as well as echocardiogram, treatment, and evolution records. IgG and IgM serology for SARS-CoV-2 was performed in both groups. RESULTS: In the KD group and the PIMS-KD group, 20 and 33 patients were analyzed, respectively. There were differences in age, days of fever, count of leukocytes, lymphocytes, and platelets, erythrocyte sedimentation rate (ESR), and hospital stay. In 25% of the KD group, there were alterations in the echocardiogram and, in the PIMS-K group, all patients received corticosteroids and 25 patients received intravenous immunoglobulin (IVIG). In both groups, a favorable clinical evolution was observed, characterized by the absence of complications and mortality. CONCLUSIONS: Based on the data obtained in our study, the importance of the epidemiological link is emphasized as an essential factor in differentiating between both pathologies, highlighting the need to consider factors such as age, duration of fever, count of leukocytes, lymphocytes, and platelets, and degree of cardiac involvement, for a differential evaluation between patients with PIMS-KD versus KD.

Comparison of Bedside Index for Severity in Acute Pancreatitis and Emergency Department SpO2, Age and Systemic Inflammatory Response Syndrome Scores in Predicting Severe Acute Pancreatitis in Patients with Acute Pancreatitis in the Emergency Department.

BACKGROUND: As the mortality of severe acute pancreatitis (SAP) is significantly higher than those with mild or moderate severity, it is of clinical significance to identify patients most likely to develop SAP at the time of emergency department (ED) presentation. OBJECTIVES: The aim of this study was to compare the performance of the Bedside Index for Severity in Acute Pancreatitis (BISAP) and the Emergency Department SpO2, Age and SIRS (ED-SAS) scoring systems as early risk assessment tools for identifying patients at high-risk of developing SAP. METHODS: We retrospectively reviewed adult patients with AP presented to ED between January 2019-September 2022. We calculated the scores of each patient with the parameters of the initial data. The primary outcome was SAP. The secondary outcomes were 30-day mortality, intensive care admission, and identifying low-risk patients without complications. RESULTS: Of 415 patients, 34 (8.2%) developed SAP and 15 (3.6%) died. With regard to predicting SAP, BISAP and ED-SAS scores had similar discriminative ability with area under the curves (AUCs) of 0.84 (95% confidence interval [CI]:0.80-0.88) and 0.83 (95% CI:0.79-0.86), respectively (p = 0.642). At a cut-off score of ≥2 for SAP, sensitivity/specificity values were 73.5%/82.4% for BISAP, 76.5%/83.2% for ED-SAS. BISAP and ED-SAS scores of ≥3, yielded sensitivity/specificity values of 50%/95.8% and 35.3%/95.5%, respectively. BISAP and ED-SAS were also similar in predicting mortality (AUCs of 0.92 vs. 0.90, respectively) and intensive care unit admission (AUCs 0.91 vs. 0.91). CONCLUSION: The BISAP and ED-SAS scores performed similarly in predicting SAP, mortality, and intensive care unit admission. As an easily calculated tool early in the ED, ED-SAS may be helpful in disposition decisions for emergency physicians.

The role of malnutrition on outcomes of multisystem inflammatory syndrome in children (MIS-C) due to COVID-19.

BACKGROUND: Malnutrition increases the complications and mortality in critically-ill children. We performed a retrospective analysis to define the impact of malnutrition on the outcomes of multisystem inflammatory syndrome in children (MIS-C) due to COVID-19. METHODS: Patients with MIS-C were evaluated for demographic features, anthropometric parameters, clinical findings and outcomes. Patients with z scores of body mass index (> 5 years) and weight-for-age (< 5 years) < -2 were considered malnourished. Sarcopenia was defined by total psoas muscle area (tPMA), calculated on abdominal computed tomography (CT) at the level of L3 and L4 vertebrae. The z scores <- 2 for tPMA were considered sarcopenia. The results of patients with and without malnutrition were compared. RESULTS: Twenty-seven patients were included. Forty-four percent (n=12) of patients had malnutrition. Malnutrition was classified as mild to moderate (1/3), severe (1/3) and overweight (1/3). Eighty-two % of cases had acute malnutrition. Among MIS-C symptom criteria, rash was significantly higher in children with malnutrition (p<0.05). Laboratory investigations showed higher ferritin levels in patients with malnutrition (p<0.05). The median tPMA and sarcopenia were significantly higher in patients with malnutrition when compared to patients without malnutrition (42% vs 7%, p<0.05). The oral feeding time, complication rates, and length of hospital stay were similar in both groups (p>0.05). CONCLUSION: Children with MIS-C already had mild to severe malnutrition at admission. Rash and higher ferritin levels were more common in patients with malnutrition. In addition to anthropometric parameters, sarcopenia calculated using tPMA can be used to predict malnutrition in critically-ill children.

Diagnostic markers of acute encephalitis syndrome and COVID-associated multisystem inflammatory syndrome in children from Southern India.

Acute encephalitis syndrome (AES) in children poses a significant public health challenge in India. This study aims to explore the utility of host inflammatory mediators and neurofilament (NfL) levels in distinguishing etiologies, assessing disease severity, and predicting outcomes in AES. We assessed 12 mediators in serum (n = 58) and 11 in cerebrospinal fluid (CSF) (n = 42) from 62 children with AES due to scrub typhus, viral etiologies, and COVID-associated multisystem inflammatory syndrome (MIS-C) in Southern India. Additionally, NfL levels in serum (n = 20) and CSF (n = 18) were examined. Clinical data, including Glasgow coma scale (GCS) and Liverpool outcome scores, were recorded. Examining serum and CSF markers in the three AES etiology groups revealed notable distinctions, with scrub typhus differing significantly from viral and MIS-C causes. Viral causes had elevated serum CCL11 and CCL2 compared with scrub typhus, while MIS-C cases showed higher HGF levels than scrub typhus. However, CSF analysis showed a distinct pattern with the scrub typhus group exhibiting elevated levels of IL-1RA, IL-1ß, and TNF compared with MIS-C, and lower CCL2 levels compared with the viral group. Modeling the characteristic features, we identified that age ≥3 years with serum CCL11 < 180 pg/mL effectively distinguished scrub typhus from other AES causes. Elevated serum CCL11, HGF, and IL-6:IL-10 ratio were associated with poor outcomes (p = 0.038, 0.005, 0.02). Positive CSF and serum NfL correlation, and negative GCS and serum NfL correlation were observed. Median NfL levels were higher in children with abnormal admission GCS and poor outcomes. Measuring immune mediators and brain injury markers in AES provides valuable diagnostic insights, with the potential to facilitate rapid diagnosis and prognosis. The correlation between CSF and serum NfL, along with distinctive serum cytokine profiles across various etiologies, indicates the adequacy of blood samples alone for assessment and monitoring. The association of elevated levels of CCL11, HGF, and an increased IL-6:IL-10 ratio with adverse outcomes suggests promising avenues for therapeutic exploration, warranting further investigation.

Early postoperative systemic inflammatory response as predictor of anastomotic leakage after esophagectomy: a systematic review and meta-analysis.

BACKGROUND AND PURPOSE: Postesophagectomy anastomotic leakage occurs in up to 16% of patients and is the main cause of morbidity and mortality. The leak severity is determined by the extent of contamination and the degree of sepsis, both of which are related to the time from onset to treatment. Early prediction based on inflammatory biomarkers such as C-reactive protein (CRP) levels, white blood cell counts, albumin levels, and combined Noble-Underwood (NUn) scores can guide early management. This review aimed to determine the diagnostic accuracy of these biomarkers. METHODS: This study was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and registered in the PROSPERO (International Prospective Register of Systematic Reviews) database. Two reviewers independently conducted searches across PubMed, MEDLINE, Web of Science, and Embase. Sources of bias were assessed, and a meta-analysis was performed. RESULTS: Data from 5348 patients were analyzed, and 13% experienced leakage. The diagnostic accuracy of the serum biomarkers was analyzed, and pooled cutoff values were identified. CRP levels were found to have good diagnostic accuracy on days 2 to 5. The best discrimination was identified on day 2 for a cutoff value < 222 mg/L (area under the curve = 0.824, sensitivity = 81%, specificity = 88%, positive predictive value = 38.6%, and negative predictive value = 98%). A NUn score of >10 on day 4 correlated with poor diagnostic accuracy. CONCLUSION: The NUn score failed to achieve adequate accuracy. CRP seems to be the only valuable biomarker and is a negative predictor of postesophagectomy leakage. Patients with a CRP concentration of <222 mg/L on day 2 are unlikely to develop a leak, and patients can safely proceed through their enhanced recovery after surgery protocol. Patients with a CRP concentration of <127 mg/L on day 5 can be safely discharged when clinically possible.

Relationship between gastrointestinal symptoms and COVID-19 infection in the pediatric population: a scoping review.

OBJECTIVE: To map the evidence in the literature about the relationship between gastrointestinal symptoms and COVID-19 in the pediatric population. METHOD: This is a scoping review following the recommendations of the Joanna Briggs Institute and PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. The search was carried out on the following bases: Embase, Google Scholar, PubMed, Scopus, LILACS, CINAHL, Scielo, Web of Science and Virtual Health Library Portal, between July and August 2023. Original studies available in full, in any language, were included. RESULTS: Ten studies were chosen that pointed to three premises: (1) the ACE2 receptor is found in the epithelial cells of the gastrointestinal tract; (2) gastrointestinal symptoms are mediated by stress and infection is justified by the gut-brain axis; (3) it develops the process of Multisystem Inflammatory Syndrome in children, affecting the gastrointestinal tract. CONCLUSION: The synthesis of evidence provided three assumptions which guide the origin of gastrointestinal symptoms. The identification of gastrointestinal symptoms in children affected by COVID-19 can assist in the clinical approach and management of care and treatments.

COVID-19 admissions: Trying to define the real impact of infection in hospitalized patients.

INTRODUCTION AND OBJECTIVE: Several studies have suggested that the hospitalization rate for COVID-19 in children and adolescents may reflect the prevalence of the infection rather than the severity of the disease. The aim of this study was to describe the clinical features of hospitalised paediatric patients with SARS-CoV-2 infection in order to understand if the infection was the reason for admission. METHODS: Retrospective cohort study including patients aged 0-18 years with SARS-CoV-2 infection or multisystem inflammatory syndrome in children (MIS-C) admitted to a tertiary care children's hospital in Spain between 01/01/2020 and 12/31/2021. RESULTS: 228 patients were included, corresponding to 150 cases of COVID-related admission (SARS-CoV-2 infection as main cause of hospitalization) and 78 of non-COVID-related admission (SARS-CoV-2 infection unrelated to the hospitalization). In the group of COVID-related admissions, 58 patients had comorbidities. Forty-nine patients had acute respiratory disease (pneumonia, bronchospasm or bronchiolitis). Multisystem inflammatory syndrome in children was diagnosed in 27 and was significantly more frequent in the first year of the pandemic (wild type virus). Eighty percent of patients with acute respiratory disease needed respiratory support, mostly low-flow oxygen therapy. The severity of the disease was similar in all virus variants. Two patients (both with severe comorbidities) died from COVID-related conditions. CONCLUSIONS: In our study, one third of the patients were admitted with SARS-CoV-2 infection but not because of it. Acute respiratory disease was less frequent and had a better prognosis compared to the adult population, while MIS-C was a major cause of morbidity and hospitalization. The fatality rate was extremely low.

Integrative analysis of metabolomics and transcriptomics to uncover biomarkers in sepsis.

To utilize metabolomics in conjunction with RNA sequencing to identify biomarkers in the blood of sepsis patients and discover novel targets for diagnosing and treating sepsis. In January 2019 and December 2020, blood samples were collected from a cohort of 16 patients diagnosed with sepsis and 11 patients diagnosed with systemic inflammatory response syndrome (SIRS). Non-targeted metabolomics analysis was conducted using liquid chromatography coupled with mass spectrometry (LC-MS/MS technology), while gene sequencing was performed using RNA sequencing. Afterward, the metabolite data and sequencing data underwent quality control and difference analysis, with a fold change (FC) greater than or equal to 2 and a false discovery rate (FDR) less than 0.05.Co-analysis was then performed to identify differential factors with consistent expression trends based on the metabolic pathway context; KEGG enrichment analysis was performed on the crossover factors, and Meta-analysis of the targets was performed at the transcriptome level using the public dataset. In the end, a total of five samples of single nucleated cells from peripheral blood (two normal controls, one with systemic inflammatory response syndrome, and two with sepsis) were collected and examined to determine the cellular location of the essential genes using 10× single cell RNA sequencing (scRNA-seq). A total of 485 genes and 1083 metabolites were found to be differentially expressed in the sepsis group compared to the SIRS group. Among these, 40 genes were found to be differentially expressed in both the metabolome and transcriptome. Functional enrichment analysis revealed that these genes were primarily involved in biological processes related to inflammatory response, immune regulation, and amino acid metabolism. Furthermore, a meta-analysis identified four genes, namely ITGAM, CD44, C3AR1, and IL2RG, which were highly expressed in the sepsis group compared to the normal group (P < 0.05). Additionally, scRNA-seq analysis revealed that the core genes ITGAM and C3AR1 were predominantly localized within the macrophage lineage. The primary genes ITGAM and C3AR1 exhibit predominant expression in macrophages, which play a significant role in inflammatory and immune responses. Moreover, these genes show elevated expression levels in the plasma of individuals with sepsis, indicating their potential as valuable subjects for further research in sepsis.