02577nas a2200265 4500000000100000008004100001653003900042653003000081653001100111653001400122653001200136653002100148653001900169653002300188100001500211700001300226700001500239700001300254700002100267245008500288300001000373490000800383520190600391022001402297 2016 d10aNeglected tropical diseases (NTDs)10aLymphatic filariasis (LF)10aBrazil10aMorbidity10aPoverty10aLow endemic area10aHealth systems10aDisease Management1 aBrandão E1 aBonfim C1 aMedeiros Z1 aNetto MJ1 aAguiar-Santos AM00aBurden of lymphatic filariasis morbidity in an area of low endemicity in Brazil. a54-600 v1633 a

The Global Programme to Eliminate Lymphatic Filariasis has two main components: interrupting transmission of lymphatic filariasis (LF) and managing morbidity and preventing disability. However, interventions to prevent and manage LF-related disabilities in endemic communities have been of limited extent. The aim of this study was to describe the prevalence of morbidity and its correlation with filarial infection, thereby filling a gap that existed regarding the data on morbidity in Brazil. Presence of Wuchereria bancrofti microfilaria was investigated using the thick smear technique. Information on parasitosis-related clinical manifestations was obtained using a questionnaire applied by community health agents with previous training and capacitation to know about and identify the disease. To analyze correlations, Pearson's correlation coefficient was used with the corresponding statistical significance test. 23,673 individuals were investigated: 323 presented microfilaremia (1.36%) and 741 (3.13%) had clinical complaints that were attributable to LF. Acute dermatolymphangioadenitis (ADLA) was the most prevalent condition (2.2%). Lymphedema, ADLA and chyluria were more commonly reported among female patients. There were positive associations between all the clinical complaints reported and filarial infection. Hydrocele presented the most strongly positive association (r=0.699; p<0.001). The present study showed that there is an association between clinical condition reported and the rate of infection among people living in an area of low endemicity for LF. It contributes data that might provide support for healthcare systems and thus optimize disease management, through incorporating surveillance measures directed towards preventing disability and reducing the psychosocial and economic impact of the disease on poor populations living in areas endemic for LF.

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