Evidence map›Paper›PMID 27593529›Full record

ArticleInfectious diseases of poverty2016

Maintenance of demographic and hematological profiles in a long-lasting dengue fever outbreak: implications for management.

Andréia Moreira Dos Santos Carmo, Rodrigo Buzinaro Suzuki, Michele Marcondes Riquena, André Eterovic, Márcia Aparecida Sperança

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Article in Infectious diseases of poverty, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Andréia Moreira Dos Santos CarmoCenter for Natural and Human Sciences, Universidade Federal do ABC, Campus São Bernardo do Campo, 09606-070, São Bernardo Do Campo, São Paulo, Brasil.
Rodrigo Buzinaro SuzukiCenter for Natural and Human Sciences, Universidade Federal do ABC, Campus São Bernardo do Campo, 09606-070, São Bernardo Do Campo, São Paulo, Brasil.
Michele Marcondes RiquenaCenter for Natural and Human Sciences, Universidade Federal do ABC, Campus São Bernardo do Campo, 09606-070, São Bernardo Do Campo, São Paulo, Brasil.
André EterovicCenter for Natural and Human Sciences, Universidade Federal do ABC, Campus Santo André, Santo André, 09210-170, São Paulo, Brazil.
Márcia Aparecida SperançaCenter for Natural and Human Sciences, Universidade Federal do ABC, Campus São Bernardo do Campo, 09606-070, São Bernardo Do Campo, São Paulo, Brasil. marcia.speranca@ufabc.edu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue fever (DF) outbreaks present regionally specific epidemiological and clinical characteristics. In certain medium-sized cities (100 000-250 000 inhabitants) of São Paulo State, Brazil, and after reaching an incidence of 150 cases/100 000 inhabitants ("epidemiological threshold"), clinical diagnosis indicated dengue virus (DENV) infection. During this period, other seasonally infectious diseases with symptoms and physical signs mimicking DF can simultaneously occur, with the consequential overcrowding of health care facilities as the principal drawbacks. Confirmation of clinical diagnosis of DF with serological tests may help in avoiding faulty diagnosis in patients, who might later undergo dengue hemorrhagic fever (DHF) and the dengue-shock syndrome (DSS). Furthermore, demographic and hematological profiles of patients are useful in detecting specific early characteristics associated to DF, DHF and DSS.

methodsFrom March to June, 2007, 456 patients from Marilia in northwest São Paulo State who had only been diagnosed for DF by clinical criteria, underwent serologic testing for non-structural 1 (NS1) DENV antigens. Individual results were used in comparative analysis according to demographic (gender, age) and hematological (leukocyte and platelet counts, percentage of atypical lymphocytes) profiles. Temporal patterns were evaluated by subdividing data according to time of initial attendance, using recorded variables as predictors of DENV infection in logistic regression models and ROC curves.

resultsSerologic DENV detection was positive in 70.6 % of the patients. Lower leukocyte and platelet counts were the most important factors in predicting DENV infection (respective medians DENV + = 3 715 cells/ml and DENV- = 6 760 cells/ml, and DENV + = 134 896 cells/ml and DENV- = 223 872 cells/ml). Furthermore, all demographic and hematological profiles presented a conservative temporal pattern throughout this long-lasting outbreak.

conclusionsAs consistency throughout the epidemic facilitated defining the conservation pattern throughout the early stages, this was useful for improving management during the remaining period.

Indexed as

Disease OutbreaksAdolescentAdultAgedAged, 80 and overBrazilChildChild, PreschoolDemographyDengueDengue VirusFemaleHematologic TestsHumansIncidenceInfantClinical diagnosisDemographic profileDengue feverDengue- outbreak patternEpidemiological thresholdHematological profile

Identifiers

PMID27593529
PMCPMC5011355

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