AI Article Synopsis

  • Efforts to control schistosomiasis have led to many people in endemic areas having low parasite loads, making traditional diagnostic methods like Kato-Katz less effective.
  • A study in a rural Brazilian community tested the accuracy of real-time polymerase chain reaction (RT-PCR) for detecting Schistosoma mansoni DNA in fecal samples, alongside other testing methods.
  • RT-PCR demonstrated high sensitivity (91.4%) and specificity (80.2%), successfully identifying individuals with low parasite loads better than the POC-CCA® method, making it a promising diagnostic tool for intestinal schistosomiasis.

Article Abstract

Due to the efforts to control schistosomiasis transmission in tropical countries, a large proportion of individuals from endemic areas present low parasite loads, which hinders diagnosis of intestinal schistosomiasis by the Kato-Katz (KK) method. Therefore, the development of more sensitive diagnostic methods is essential for efficient control measures. The aim was to evaluate the accuracy of a real-time polymerase chain reaction (RT-PCR) to detect Schistosoma mansoni DNA in fecal samples of individuals with low parasite loads. A cross-sectional population-based study was conducted in a rural community (n = 257) in Brazil. POC-CCA® was performed in urine and feces were used for RT-PCR. In addition, fecal exams were completed by 18 KK slides, saline gradient and Helmintex techniques. The combined results of the three parasitological tests detected schistosome eggs in 118 participants (45.9%) and composed the consolidated reference standard (CRS). By RT-PCR, 117 out of 215 tested samples were positive, showing 91.4% sensitivity, 80.2% specificity and good concordance with the CRS (kappa = 0.71). RT-PCR identified 86.9% of the individuals eliminating less than 12 eggs/g of feces, demonstrating much better performance than POC-CCA® (50.8%). Our results showed that RT-PCR is a valuable alternative for the diagnosis of intestinal schistosomiasis in individuals with very low parasite loads.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317740PMC
http://dx.doi.org/10.1017/S003118202000089XDOI Listing

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