Diagnosing schistosomiasis-induced liver morbidity: implications for global control

Summary Background Subclinical morbidity due to schistosomiasis was evaluated in 565 patients, and the enhanced liver fibrosis (ELF) test was assessed for the first time as a potential screening tool for disease. Methods The prevalence and intensity of infection were determined by Kato–Katz thick sm...

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Veröffentlicht in:International journal of infectious diseases 2017-01, Vol.54 (C), p.138-144
Hauptverfasser: Olveda, David U, Inobaya, Marianette, Olveda, Remigio M, Vinluan, Marilyn L, Ng, Shu-Kay, Weerakoon, Kosala, McManus, Donald P, Ramm, Grant A, Harn, Donald A, Li, Yuesheng, Lam, Alfred K, Guevarra, Jerric R, Ross, Allen G
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Sprache:eng
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Zusammenfassung:Summary Background Subclinical morbidity due to schistosomiasis was evaluated in 565 patients, and the enhanced liver fibrosis (ELF) test was assessed for the first time as a potential screening tool for disease. Methods The prevalence and intensity of infection were determined by Kato–Katz thick smear stool examination at baseline and 2 years after curative treatment. The degree of hepatic fibrosis was assessed by ultrasound. Non-invasive serum biomarkers of hepatic fibrosis were also evaluated. Results The baseline human prevalence and infection intensity were found to be moderately high at 34% and 123 eggs per gram, respectively. However, hepatic parenchymal fibrosis occurred in 50% of subjects, with grade II fibrosis in 19% and grade III in 6%. The ELF score and higher serum levels of tissue inhibitor of metalloproteinase 1 (TIMP-1) and hyaluronic acid (HA) correlated with the grade of liver fibrosis. Conclusions The findings of this study demonstrated that praziquantel treatment had a short-term impact on both the prevalence and intensity of infection, but less of an impact on established morbidity. Higher TIMP-1 and HA serum levels, and an ELF cut-off score of 8 were found to be correlated with the grade of liver fibrosis; these values may, therefore, assist physicians in identifying individuals at greater risk of disease.
ISSN:1201-9712
1878-3511
DOI:10.1016/j.ijid.2016.10.024