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1.
Front Cell Infect Microbiol ; 13: 1182257, 2023.
Article in English | MEDLINE | ID: mdl-37588055

ABSTRACT

Introduction: Despite the existing data on the Multisystem Inflammatory Syndrome in Children (MIS-C), the factors that determine these patients evolution remain elusive. Answers may lie, at least in part, in genetics. It is currently under investigation that MIS-C patients may have an underlying innate error of immunity (IEI), whether of monogenic, digenic, or even oligogenic origin. Methods: To further investigate this hypothesis, 30 patients with MIS-C were submitted to whole exome sequencing. Results: Analyses of genes associated with MIS-C, MIS-A, severe covid-19, and Kawasaki disease identified twenty-nine patients with rare potentially damaging variants (50 variants were identified in 38 different genes), including those previously described in IFNA21 and IFIH1 genes, new variants in genes previously described in MIS-C patients (KMT2D, CFB, and PRF1), and variants in genes newly associated to MIS-C such as APOL1, TNFRSF13B, and G6PD. In addition, gene ontology enrichment pointed to the involvement of thirteen major pathways, including complement system, hematopoiesis, immune system development, and type II interferon signaling, that were not yet reported in MIS-C. Discussion: These data strongly indicate that different gene families may favor MIS- C development. Larger cohort studies with healthy controls and other omics approaches, such as proteomics and RNAseq, will be precious to better understanding the disease dynamics.


Subject(s)
COVID-19 , Child , Humans , Brazil , COVID-19/genetics , Cohort Studies , Apolipoprotein L1
2.
J Pediatr (Rio J) ; 98(2): 126-135, 2022.
Article in English | MEDLINE | ID: mdl-34509427

ABSTRACT

OBJECTIVE: To evaluate current practices of tracheostomy in children regarding the ideal timing of tracheostomy placement, complications, indications, mortality, and success in decannulation. SOURCE OF DATA: The authors searched PubMed, Embase, Cochrane Library, Google Scholar, and complemented by manual search. The guidelines of PRISMA and MOOSE were applied. The quality of the included studies was evaluated with the Newcastle-Ottawa Scale. Information extracted included patients' characteristics, outcomes, time to tracheostomy, and associated complications. Odds ratios (ORs) with 95% CIs were computed using the Mantel-Haenszel method. SYNTHESIS OF DATA: Sixty-six articles were included in the qualitative analysis, and 8 were included in the meta-analysis about timing for tracheostomy placement. The risk ratio for "death in hospital outcome" did not show any benefit from performing a tracheostomy before or after 14 days of mechanical ventilation (p = 0.49). The early tracheostomy before 14 days had a great impact on the days of mechanical ventilation (-26 days in mean difference, p < 0.00001). The authors also found a great reduction in hospital length of stay (-31.4 days, p < 0.008). For the days in PICU, the mean reduction was of 14.7 days (p < 0.007). CONCLUSIONS: The meta-analysis suggests that tracheostomy performed in the first 14 days of ventilation can reduce the time spent on the ventilator, and the length of stay in the hospital, with no effect on mortality. The decision to perform a tracheostomy early or late may be more dependent on the baseline disease than on the time spent on ventilation .


Subject(s)
Respiration, Artificial , Tracheostomy , Critical Illness , Humans , Length of Stay , Time Factors , Tracheostomy/methods
3.
J Pediatr (Rio J) ; 96(5): 582-592, 2020.
Article in English | MEDLINE | ID: mdl-32781034

ABSTRACT

OBJECTIVE: To describe the clinical characteristics of children and adolescents admitted to intensive care with confirmed COVID-19. METHOD: Prospective, multicenter, observational study, in 19 pediatric intensive care units. Patients aged 1 month to 19 years admitted consecutively (March-May 2020) were included. Demographic, clinical-epidemiological features, treatment, and outcomes were collected. Subgroups were compared according to comorbidities, age < 1 year, and need for invasive mechanical ventilation. A multivariable logistic regression model was used for predictors of severity. RESULTS: Seventy-nine patients were included (ten with multisystemic inflammatory syndrome). Median age 4 years; 54% male (multisystemic inflammatory syndrome, 80%); 41% had comorbidities (multisystemic inflammatory syndrome, 20%). Fever (76%), cough (51%), and tachypnea (50%) were common in both groups. Severe symptoms, gastrointestinal symptoms, and higher inflammatory markers were more frequent in multisystemic inflammatory syndrome. Interstitial lung infiltrates were common in both groups, but pleural effusion was more prevalent in the multisystemic inflammatory syndrome group (43% vs. 14%). Invasive mechanical ventilation was used in 18% (median 7.5 days); antibiotics, oseltamivir, and corticosteroids were used in 76%, 43%, and 23%, respectively, but not hydroxychloroquine. The median pediatric intensive care unit length-of-stay was five days; there were two deaths (3%) in the non- multisystemic inflammatory syndrome group. Patients with comorbidities were older and comorbidities were independently associated with the need for invasive mechanical ventilation (OR 5.5; 95% CI, 1.43-21.12; p = 0.01). CONCLUSIONS: In Brazilian pediatric intensive care units, COVID-19 had low mortality, age less than 1 year was not associated with a worse prognosis, and patients with multisystemic inflammatory syndrome had more severe symptoms, higher inflammatory biomarkers, and a greater predominance of males, but only comorbidities and chronic diseases were independent predictors of severity.


Subject(s)
Coronavirus Infections/therapy , Intensive Care Units, Pediatric/statistics & numerical data , Pandemics , Pneumonia, Viral/therapy , Respiration, Artificial/methods , Systemic Inflammatory Response Syndrome , Adolescent , Betacoronavirus , Brazil , COVID-19 , Child , Child, Preschool , Coronavirus Infections/epidemiology , Female , Hospitalization , Humans , Infant , Infant, Newborn , Length of Stay/statistics & numerical data , Male , Pneumonia, Viral/epidemiology , Prospective Studies , Respiration, Artificial/statistics & numerical data , SARS-CoV-2
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