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1.
Article in English | LILACS-Express | LILACS | ID: biblio-1422778

ABSTRACT

ABSTRACT Amniotic fluid DNA samples were genotyped by multilocus-nested-PCR-RFLP, but only three of 11 markers amplified 113 of 122 (92.6%) samples, resulting in 12 untyped and 101 partial non-archetypal genotypes. The 101 typed samples were subdivided into four groups: G1 with 73 samples (5'and 3' SAG2 allele I + SAG3 allele III + GRA6 allele III), 53 had parasite load ≤ 102 parasites/mL (43 asymptomatic, 10 mild infections), 17 had load > 102 and ≤ 103 (one mild, 13 moderate and three severe), and three had load > 103 parasites/mL (three severe); G2 with 22 samples (5'and 3' SAG2 allele I + SAG3 allele III), all parasite load levels ≤ 102 parasites/mL (18 asymptomatic and four mild); G3 with five samples (5' and 3' SAG2 allele I + SAG3 allele II), parasite load ≤ 102 parasites/mL (three asymptomatic and two mild); G4 with one sample (5' and 3' SAG2 allele II + SAG3 allele II + GRA6 allele I), a parasite load < 102 parasites/mL in an asymptomatic infant. After DNA sequencing, restriction sites confirmed SAG2, SAG3 and GRA6 alleles in 98.7%, 100% and 100% of the cases, respectively, while single nucleotide polymorphisms confirmed 90% of 5'-SAG2 allele I; 98.7% of 3'-SAG2 allele I; 98% of SAG-3 allele III, but only 40% of GRA6 allele III results. For the moment, partial non-archetypal genotypes of parasites did not show any relationship with either parasite load in amniotic fluid samples or clinical outcome of infants at the age of 12 months.

2.
Article in English | LILACS-Express | LILACS | ID: biblio-1387338

ABSTRACT

ABSTRACT This study assessed the technical performance of a rapid lateral flow immunochromatographic assay (LFIA) for the detection of anti-SARS-CoV-2 IgG and compared LFIA results with chemiluminescent immunoassay (CLIA) results and an in-house enzyme immunoassay (EIA). To this end, a total of 216 whole blood or serum samples from three groups were analyzed: the first group was composed of 68 true negative cases corresponding to blood bank donors, healthy young volunteers, and eight pediatric patients diagnosed with other coronavirus infections. The serum samples from these participants were obtained and stored in a pre-COVID-19 period, thus they were not expected to have COVID-19. In the second group of true positive cases, we chose to replace natural cases of COVID-19 by 96 participants who were expected to have produced anti-SARS-CoV-2 IgG antibodies 30-60 days after the vaccine booster dose. The serum samples were collected on the same day that LFIA were tested either by EIA or CLIA. The third study group was composed of 52 participants (12 adults and 40 children) who did or did not have anti-SARS-CoV-2 IgG antibodies due to specific clinical scenarios. The 12 adults had been vaccinated more than seven months before LFIA testing, and the 40 children had non-severe COVID-19 diagnosed using RT-PCR during the acute phase of infection. They were referred for outpatient follow-up and during this period the serum samples were collected and tested by CLIA and LFIA. All tests were performed by the same healthcare operator and there was no variation of LFIA results when tests were performed on finger prick whole blood or serum samples, so that results were grouped for analysis. LFIA's sensitivity in detecting anti-SARS-CoV-2 IgG antibodies was 90%, specificity 97.6%, efficiency 93%, PPV 98.3%, NPV 86.6%, and likelihood ratio for a positive or a negative result were 37.5 and 0.01 respectively. There was a good agreement (Kappa index of 0.677) between LFIA results and serological (EIA or CLIA) results. In conclusion, LFIA analyzed in this study showed a good technical performance and agreement with reference serological assays (EIA or CLIA), therefore it can be recommended for use in the outpatient follow-up of non-severe cases of COVID-19 and to assess anti-SARS-CoV-2 IgG antibody production induced by vaccination and the antibodies decrease over time. However, LFIAs should be confirmed by using reference serological assays whenever possible.

3.
Marques, Heloisa Helena de Sousa; Pereira, Maria Fernanda Badue; Santos, Angélica Carreira dos; Fink, Thais Toledo; Paula, Camila Sanson Yoshino de; Litvinov, Nadia; Schvartsman, Claudio; Delgado, Artur Figueiredo; Gibelli, Maria Augusta Bento Cicaroni; Carvalho, Werther Brunow de; Odone Filho, Vicente; Tannuri, Uenis; Carneiro-Sampaio, Magda; Grisi, Sandra; Duarte, Alberto José da Silva; Antonangelo, Leila; Francisco, Rossana Pucineli Vieira; Okay, Thelma Suely; Batisttella, Linamara Rizzo; Carvalho, Carlos Roberto Ribeiro de; Brentani, Alexandra Valéria Maria; Silva, Clovis Artur; Eisencraft, Adriana Pasmanik; Rossi Junior, Alfio; Fante, Alice Lima; Cora, Aline Pivetta; Reis, Amelia Gorete A. de Costa; Ferrer, Ana Paula Scoleze; Andrade, Anarella Penha Meirelles de; Watanabe, Andreia; Gonçalves, Angelina Maria Freire; Waetge, Aurora Rosaria Pagliara; Silva, Camila Altenfelder; Ceneviva, Carina; Lazari, Carolina dos Santos; Abellan, Deipara Monteiro; Santos, Emilly Henrique dos; Sabino, Ester Cerdeira; Bianchini, Fabíola Roberta Marim; Alcantara, Flávio Ferraz de Paes; Ramos, Gabriel Frizzo; Leal, Gabriela Nunes; Rodriguez, Isadora Souza; Pinho, João Renato Rebello; Carneiro, Jorge David Avaizoglou; Paz, Jose Albino; Ferreira, Juliana Carvalho; Ferranti, Juliana Ferreira; Ferreira, Juliana de Oliveira Achili; Framil, Juliana Valéria de Souza; Silva, Katia Regina da; Kanunfre, Kelly Aparecida; Bastos, Karina Lucio de Medeiros; Galleti, Karine Vusberg; Cristofani, Lilian Maria; Suzuki, Lisa; Campos, Lucia Maria Arruda; Perondi, Maria Beatriz de Moliterno; Diniz, Maria de Fatima Rodrigues; Fonseca, Maria Fernanda Mota; Cordon, Mariana Nutti de Almeida; Pissolato, Mariana; Peres, Marina Silva; Garanito, Marlene Pereira; Imamura, Marta; Dorna, Mayra de Barros; Luglio, Michele; Rocha, Mussya Cisotto; Aikawa, Nadia Emi; Degaspare, Natalia Viu; Sakita, Neusa Keico; Udsen, Nicole Lee; Scudeller, Paula Gobi; Gaiolla, Paula Vieira de Vincenzi; Severini, Rafael da Silva Giannasi; Rodrigues, Regina Maria; Toma, Ricardo Katsuya; Paula, Ricardo Iunis Citrangulo de; Palmeira, Patricia; Forsait, Silvana; Farhat, Sylvia Costa Lima; Sakano, Tânia Miyuki Shimoda; Koch, Vera Hermina Kalika; Cobello Junior, Vilson; HC-FMUSP Pediatric COVID Study Group.
Clinics ; 76: e3488, 2021. tab, graf
Article in English | LILACS | ID: biblio-1350619

ABSTRACT

OBJECTIVES: To compare demographic/clinical/laboratory/treatments and outcomes among children and adolescents with laboratory-confirmed coronavirus disease 2019 (COVID-19). METHODS: This was a cross-sectional study that included patients diagnosed with pediatric COVID-19 (aged <18 years) between April 11, 2020 and April 22, 2021. During this period, 102/5,951 (1.7%) of all admissions occurred in neonates, children, and adolescents. Furthermore, 3,962 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection samples were processed in patients aged <18 years, and laboratory-confirmed COVID-19 occurred in 155 (4%) inpatients and outpatients. Six/155 pediatric patients were excluded from the study. Therefore, the final group included 149 children and adolescents (n=97 inpatients and 52 outpatients) with positive SARS-CoV-2 results. RESULTS: The frequencies of sore throat, anosmia, dysgeusia, headache, myalgia, nausea, lymphopenia, pre-existing chronic conditions, immunosuppressive conditions, and autoimmune diseases were significantly reduced in children and adolescents (p<0.05). Likewise, the frequencies of enoxaparin use (p=0.037), current immunosuppressant use (p=0.008), vasoactive agents (p=0.045), arterial hypotension (p<0.001), and shock (p=0.024) were significantly lower in children than in adolescents. Logistic regression analysis showed that adolescents with laboratory-confirmed COVID-19 had increased odds ratios (ORs) for sore throat (OR 13.054; 95% confidence interval [CI] 2.750-61.977; p=0.001), nausea (OR 8.875; 95% CI 1.660-47.446; p=0.011), and lymphopenia (OR 3.575; 95% CI 1.355-9.430; p=0.010), but also had less hospitalizations (OR 0.355; 95% CI 0.138-0.916; p=0.032). The additional logistic regression analysis on patients with preexisting chronic conditions (n=108) showed that death as an outcome was significantly associated with pediatric severe acute respiratory syndrome (SARS) (OR 22.300; 95% CI 2.341-212.421; p=0.007) and multisystem inflammatory syndrome in children (MIS-C) (OR 11.261; 95% CI 1.189-106. 581; p=0.035). CONCLUSIONS: Half of the laboratory-confirmed COVID-19 cases occurred in adolescents. Individuals belonging to this age group had an acute systemic involvement of SARS-CoV-2 infection. Pediatric SARS and MIS-C were the most important factors associated with the mortality rate in pediatric chronic conditions with COVID-19.


Subject(s)
Humans , Infant, Newborn , Child , Adolescent , COVID-19/complications , Cross-Sectional Studies , Cohort Studies , Systemic Inflammatory Response Syndrome , Tertiary Care Centers , SARS-CoV-2
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