02671nas a2200385 4500000000100000008004100001260001300042653002600055653002400081653001100105653001600116653001100132653002100143653001200164653003600176653002500212653001000237653001200247653002600259653003200285100002200317700001800339700001400357700001300371700001400384700001400398700001200412245013400424856005000558300000900608490000700617050003200624520161500656022001402271 2007 d c2007 Mar10aAntibodies, Bacterial10aAntigens, Bacterial10aBrazil10aGlycolipids10aHumans10aImmunoglobulin M10aleprosy10aMolecular Diagnostic Techniques10aMycobacterium leprae10aNepal10aNigeria10aPoint-of-Care Systems10aSensitivity and Specificity1 aBührer-Sékula S1 aVisschedijk J1 aGrossi MA1 aDhakal K1 aNamadi AU1 aKlatser P1 aOskam L00aThe ML flow test as a point of care test for leprosy control programmes: potential effects on classification of leprosy patients. uhttps://leprosyreview.org/article/78/1/07-079 a70-90 v78 aInfolep Library - available3 a

OBJECTIVE: To evaluate the use of the ML Flow test as an additional, serological, tool for the classification of new leprosy patients.

DESIGN: In Brazil, Nepal and Nigeria, 2632 leprosy patients were classified by three

METHODS: : (1) as multibacillary (MB) or paucibacillary (PB) according to the number of skin lesions (WHO classification), (2) by slit skin smear examination, and (3) by serology using the ML Flow test detecting IgM antibodies to Mycobacterium leprae-specific phenolic glycolipid-I.

RESULTS: The proportion of MB leprosy patients was 39.5, 35.6 and 19.4% in Brazil, Nepal and Nigeria, respectively. The highest seropositivity in patients was observed in Nigeria (62.9%), followed by Brazil (50.8%) and Nepal (35.6%). ML Flow test results and smears were negative in 69.1 and 82.7% of PB patients, while smears were positive in 58.6% of MB patients in Brazil and 28.3% in Nepal. In MB patients, both smears and ML Flow tests were negative in 15.6% in Brazil and 38.3%, in Nepal. Testing all PB patients with the ML Flow test to prevent under-treatment would increase the MB group by 18, 11 and 46.2% for Brazil, Nepal and Nigeria, respectively. Using the ML Flow test as the sole criterion for classification would result in an increase of 11.3 and 43.5% of patients requiring treatment for MB leprosy in Brazil and Nigeria, respectively, and a decrease of 3.7% for Nepal.

CONCLUSIONS: The ML Flow test could be used to strengthen classification, reduce the risk of under-treatment and minimize the need for slit skin smears.

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