Evaluation and clinical laboratory of patients with suspected dengue served in Hospital of the State of Cearà reference

• Autor(a) principal: Dyana Alves da Silva
• Data de Publicação: 2014
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFC
• Texto Completo: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16567
• topic: ANATOMIA PATOLOGICA E PATOLOGIA CLINICA

Dengue is considered the most important arboviral disease and has a wide clinical spectrum, can present asymptomatically or as undifferentiated fever and may progress to severe forms such as dengue hemorrhagic fever and dengue shock syndrome. WHO suggested a new classification , because the diagnostic criteria were very strict and too based on laboratory results which hampered clinical management , and medical interventions are essential to conduct most appropriate to each case . The present study aimed to : identify laboratory abnormalities through specific and non specific in patients with suspected dengue fever treated at a referral hospital in the year 2012. The diagnosis was based on clinical, epidemiological and laboratory criteria . Among the laboratory tests used, the non specific tests: blood count, coagulation profile, liver function test, serum albumin and owned confirmation performed by specific tests, using molecular methods, virus isolation and serological methods to demonstrate the presence of antibodies IgM detecting the NS1 nonstructural glycoprotein, might be used as a marker during the acute phase of the disease as well as ELISA immunoassays, of the 95 patients, 65 ( 68.48 % ) had dengue fever according to the traditional classification, but to apply the new classification proposed by the WHO noted a change in profile with 53 ( 55 , 78 % ) patients with dengue with warning signs. Non specific tests in a constant change was observed in platelet and RBC indices as hematocrit, among the specific tests we observed a higher positivity of ELISA-IgM anti-dengue. Dengue fever is a difficult endemic infectious disease diagnosis. Therefore, it is necessary to invest in a deeper analysis of clinical and epidemiological data to arrive at a more accurate diagnosis in an early and proper treatment to each patient.