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1.
J Pediatr (Rio J) ; 96 Suppl 1: 20-28, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31604059

RESUMO

OBJECTIVE: To restate the epidemiological importance of Shigella in acute diarrhea with blood, providing an overview of the treatment and stressing the need for the correct indication of antibiotic therapy. SOURCES OF DATA: A search was carried out in the Medline and Scopus databases, in addition to the World Health Organization scientific documents and guidelines, identifying review articles and original articles considered relevant to substantiate the narrative review. SYNTHESIS OF DATA: Different pathogens have been associated with acute diarrhea with blood; Shigella was the most frequently identified. The manifestations of shigellosis in healthy individuals are usually of moderate intensity and disappear within a few days. There may be progression to overt dysentery with blood and mucus, lower abdominal pain, and tenesmus. Conventional bacterial stool culture is the gold standard for the etiological diagnosis; however, new molecular tests have been developed to allow the physician to initiate targeted antibacterial treatment, addressing a major current concern caused by the increasing resistance of Shigella. Prevention strategies include breastfeeding, hygiene measures, health education, water treatment, and the potential use of vaccines. CONCLUSIONS: Acute diarrhea is an important cause of mortality in children under 5 years and shigellosis is the leading cause of acute diarrhea with blood worldwide. The current concern is the increase in microbial resistance to the recommended antibiotics, which brings an additional difficulty to therapeutic management. Although no vaccine is yet available against Shigella, several candidates are undergoing clinical trials, and this may be the most cost-effective preventative measure in future.


Assuntos
Diarreia , Diarreia/diagnóstico , Diarreia/tratamento farmacológico , Disenteria Bacilar/diagnóstico , Disenteria Bacilar/tratamento farmacológico , Fezes , Humanos , Preparações Farmacêuticas , Shigella
2.
J Pediatr Gastroenterol Nutr ; 67(3): e51-e56, 2018 09.
Artigo em Inglês | MEDLINE | ID: mdl-29762193

RESUMO

OBJECTIVES: The aim of the study is to assess STRONGkids as a tool for predicting weight loss and length of hospital stay in children and to determine whether the anthropometric diagnosis of nutritional status at the time of admission was associated with weight loss and length of hospital stay. METHODS: A methodological study recruiting 245 children age between 1 and 10 years of age admitted to a tertiary hospital. The participants were weighed daily until discharge. Validation of the STRONGkids tool for the identification of patients sustaining weight loss at the end of hospitalization involved the calculation of sensitivity, specificity, and positive and negative predictive values, and anthropometric assessment. RESULTS: A total of 129 (52.7%) children lost weight at the end of hospitalization. Of these, 73 (56.6%) lost over 2% of their weight on admission. The tool had a sensitivity of 55.8%, a specificity of 38.8% and a positive predictive value of 50.3% in identifying children who lost weight. The anthropometric assessment had a sensitivity of 26.5%, a specificity of 75.9%, and a positive predictive value of 49.1%. CONCLUSIONS: The model used to develop the STRONGkids tool incorporated clinical evaluation to a greater extent than the assessment of nutritional status. The tool, however, had a low sensitivity and a high percentage of false positives. Therefore, it should be considered as a preliminary evaluation tool and its use should be complemented with clinical data.


Assuntos
Transtornos da Nutrição Infantil/diagnóstico , Criança Hospitalizada/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Avaliação Nutricional , Estado Nutricional/fisiologia , Redução de Peso/fisiologia , Brasil , Criança , Transtornos da Nutrição Infantil/complicações , Pré-Escolar , Feminino , Humanos , Lactente , Masculino , Estudos Prospectivos , Reprodutibilidade dos Testes , Medição de Risco , Fatores de Risco , Sensibilidade e Especificidade
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