A Common Problem During the Pandemic Period; Multisystem Inflammatory Syndrome in Children or Gram-negative Sepsis?

Kara, Yalçın; KIZIL, Mahmut Can; Kaçmaz, Ebru; Arslanoğlu, Mehmet Özgür; Kılıç, Ömer; Kıral, Eylem; Bozan, Gürkan; Dinleyici, Ener Çağrı

doi:10.1097/inf.0000000000003345

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…A high degree of overlap in symptomatology and clinical presentation between severe manifestations of COVID-19 and other acute illnesses in hospitalized patients has been reported 3,4 . Acute syndromes that can mimic MIS-C include Kawasaki disease 3 , toxic shock syndrome 3 , bacterial or viral sepsis 4 , and even non-infectious conditions such as congestive heart failure, whether or not directly related to MIS-C 16 . In contrast, acute illnesses that can mimic severe COVID-19 include many infections 17-19 , including those caused by respiratory viruses (e.g., influenza virus, parainfluenza virus, adenovirus, etc.…”

Section: Discussionmentioning

confidence: 99%

“…Our study has some limitations. First, we had a very limited number of samples from patients with “MIS-C-like” illnesses – Kawasaki disease, toxic shock syndrome, and/or acute bacterial sepsis 3,4 . Comparisons between MIS-C and these aforementioned diseases is probably more useful than comparisons between MIS-C and COVID-19 or donor controls.…”

Section: Discussionmentioning

confidence: 99%

“…On average, symptoms of MIS-C first present two to four weeks after acute COVID-19 illness and can involve a constellation of respiratory, gastrointestinal, cardiac, renal, dermatologic, and neurological symptoms that in 60% of cases result in hospitalization and possible ICU stay with invasive mechanical ventilation required due to inadequate oxygenation 2 . Diagnosis of MIS-C is challenging due to overlapping clinical features with other hyperinflammatory illnesses, such as Kawasaki Disease (KD) and Toxic Shock Syndrome (TSS) 3,4 , and the lack of objective biomarker based diagnostic tests hinders accurate diagnosis and effective management and treatment for this condition 5 . As of August 2022, the CDC has reported 8,798 cases of MIS-C and 71 deaths attributed to MIS-C in children 6 , defined as individuals under 21 years of age.…”

Section: Introductionmentioning

confidence: 99%

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WITHDRAWN: A gene expression-based diagnostic classifier for identification of severe COVID-19 and multisystem inflammatory syndrome in children (MIS-C)

Sotomayor-González

Loy

Nguyen

et al. 2022

Preprint

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MIS-C is a severe hyperinflammatory condition with involvement of multiple organs that occurs in children who had COVID-19 infection. Accurate diagnostic tests are needed to guide management and appropriate treatment and to inform clinical trials of experimental drugs and vaccines, yet the diagnosis of MIS-C is highly challenging due to overlapping clinical features with other acute syndromes in hospitalized patients. Here we developed a gene expression-based classifier for MIS-C by RNA-Seq transcriptome profiling and machine learning based analyses of 195 whole blood RNA and 76 plasma cell-free RNA samples from 191 subjects, including 95 MIS-C patients, 66 COVID-19 infected patients with moderately severe to severe disease, and 30 uninfected controls. We divided the group into a training set (70%) and test set (30%). After selection of the top 300 differentially expressed genes in the training set, we simultaneously trained 13 classification models to distinguish patients with MIS-C and COVID-19 from controls using five-fold cross-validation and grid search hyperparameter tuning. The final optimal classifier models had 100% diagnostic accuracy for MIS-C (versus non-MIS-C) and 85% accuracy for severe COVID-19 (versus mild/asymptomatic COVID-19). Orthogonal validation of a random subset of 11 genes from the final models using quantitative RT-PCR confirmed the differential expression and ability to discriminate MIS-C and COVID-19 from controls. These results underscore the utility of a gene expression classifier for diagnosis of MIS-C and severe COVID-19 as specific and objective biomarkers for these conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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WITHDRAWN: A gene expression-based diagnostic classifier for identification of severe COVID-19 and multisystem inflammatory syndrome in children (MIS-C)

Sotomayor-González

Loy

Nguyen

et al. 2022

Preprint

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“…Boggio et al and Karbuz et al highlighted the higher rates of bocavirus infections, the need for intensive care and the severe course of the disease in the post-pandemic period [15,25]. Kara et al emphasized that in the post-lockdown period, bocavirus infections caused severe respiratory failure and air leakage syndromes with subsequent increase in both the need for intensive care and mechanical ventilation [26]. The increase in HBoV frequency may be related to different factors, such as increased virulence of HBoV, potential competition, and interaction between HBoV and other respiratory viruses.…”

Section: Discussionmentioning

confidence: 99%

Assessing the change in the epidemiology of seasonal respiratory viruses with the onset of the COVID-19 pandemic

Kara,

Kizil,

İşeri Nepesov

et al. 2024

Journal of General Virology

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Background. Respiratory tract infections are among the most important causes of mortality and morbidity in children worldwide. The COVID-19 pandemic has affected the distribution of seasonal respiratory viruses as in all areas of life. In this study, we have aimed to evaluate the changes in the rates of seasonal respiratory viruses with the onset of the pandemic. Methods. This study included patients who were admitted to the Pediatrics Clinic of Eskisehir Osmangazi University Faculty of Medicine Hospital between December 2018 and February 2022 with respiratory tract infections and in whom pathogens were detected from nasopharyngeal swab samples analysed by multiplex PCR method. Results. A total of 833 respiratory tract pathogens were detected in 684 cases consisting of male (55.3 %), and female (44.7 %), patients with a total mean age of 42 months. Single pathogen was revealed in 550, and multiple pathogens in 134 cases. Intensive care was needed in 14 % of the cases. Most frequently influenza A/B, rhinovirus and respiratory syncytial virus (RSV) were detected during the pre-pandemic period, while rhinovirus, RSV, and adenovirus were observed during the lockdown period. In the post-lockdown period, the incidence rates of rhinovirus, RSV, human bocavirus (HboV) (12 %), influenza virus infections increased, and patients with RSV and bocavirus infections required intensive care hospitalization. Conclusion. It is thought that the COVID-9 pandemic lockdown measures may have an impact on the distribution of seasonal respiratory viruses, especially RSV and influenza. Current, prospective and large case series regarding the mechanism of action and dynamics are needed.

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Síndrome inflamatorio multisistémico pediátrico en paciente con oxigenación por membrana extracorpórea, reporte de un caso

Valencia Garcia,

Porto Jaramillo,

Herrera Vargas

et al. 2024

Acta Colombiana de Cuidado Intensivo

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A Common Problem During the Pandemic Period; Multisystem Inflammatory Syndrome in Children or Gram-negative Sepsis?

Cited by 4 publications

References 3 publications

WITHDRAWN: A gene expression-based diagnostic classifier for identification of severe COVID-19 and multisystem inflammatory syndrome in children (MIS-C)

WITHDRAWN: A gene expression-based diagnostic classifier for identification of severe COVID-19 and multisystem inflammatory syndrome in children (MIS-C)

Assessing the change in the epidemiology of seasonal respiratory viruses with the onset of the COVID-19 pandemic

Síndrome inflamatorio multisistémico pediátrico en paciente con oxigenación por membrana extracorpórea, reporte de un caso

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