| Literature DB >> 25606851 |
Catherine A Gordon1, Luz P Acosta2, Geoffrey N Gobert3, Remigio M Olveda2, Allen G Ross4, Gail M Williams5, Darren J Gray6, Donald Harn7, Yuesheng Li3, Donald P McManus3.
Abstract
BACKGROUND: The Philippines has a population of approximately 103 million people, of which 6.7 million live in schistosomiasis-endemic areas with 1.8 million people being at risk of infection with Schistosoma japonicum. Although the country-wide prevalence of schistosomiasis japonica in the Philippines is relatively low, the prevalence of schistosomiasis can be high, approaching 65% in some endemic areas. Of the currently available microscopy-based diagnostic techniques for detecting schistosome infections in the Philippines and elsewhere, most exhibit varying diagnostic performances, with the Kato-Katz (KK) method having particularly poor sensitivity for detecting low intensity infections. This suggests that the actual prevalence of schistosomiasis japonica may be much higher than previous reports have indicated. METHODOLOGY/PRINCIPALEntities:
Mesh:
Year: 2015 PMID: 25606851 PMCID: PMC4301913 DOI: 10.1371/journal.pntd.0003483
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Figure 1Study profile and compliance among 3810 individuals from 6 schistosomiasis endemic barangay in Palapag, Northern Samar, the Philippines.
All individuals aged ≥4 were invited to participate in the study by providing stool samples for parasitological examination.
Figure 2Map of the Philippines showing Northern Samar province highlighted green (Left).
Map of the municipality of Palapag, showing barangay locations and rivers (Right). [48]
Prevalence and infection intensity (GMEPG**) of S. japonicum in subjects from Palapag by gender, age and barangay.
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| 560 | 505 | 90.2% (87.7–92.7) | 36.5 (32.0–41.7) | 128 | 22.9% (19.4–26.4) | 11.5 (9.4–13.9) |
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| Male | 267 | 246 | 92.1% (88.9–95.4) | 37.8 (31.2–45.8) | 81 | 30.3% (24.8–35.9) | 9.1 (6.7–12.4) |
| Female | 293 | 259 | 88.4% (84.7–92.1) | 35.4 (29.4–42.6) | 47 | 16.0% (11.8–20.3) | 13.1 (10.2–16.8) |
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| Under 10 | 128 | 120 | 94.6% (89.5–98.0) | 35.6 (27.3–46.5) | 23 | 17.9% (11.2–24.7) | 12.9 (8.2–20.4) |
| 10–20 | 135 | 126 | 93.3% (89.1–97.6) | 38.1 (29.8–48.5) | 30 | 22.4% (16.9–27.8) | 17.5 (10.6–28.8) |
| 20–35 | 91 | 81 | 89.0% (82.5–95.6) | 37.9 (26.4–54.4) | 25 | 27.5% (18.1–36.8) | 10.4 (6.8–15.8) |
| 35–50 | 119 | 104 | 87.4% (81.3–93.5) | 34.4 (25.2–47.1) | 31 | 26.1% (18.1–34.1) | 9.8 (6.7–14.5) |
| Over 50 | 87 | 74 | 85.1% (77.4–92.7) | 37.1 (25.7–53.4) | 19 | 21.8% (12.9–30.7) | 7.42 (5.0–11.0) |
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| Capacujan | 96 | 82 | 85.4% (78.2–92.6) | 61.7 (44.0–86.5) | 23 | 24.0% (15.3–32.7) | 16.5 (9.4–29.1) |
| Napo | 93 | 84 | 90.3% (84.2–96.4) | 85.3 (63.6–114.3) | 19 | 20.4% (12.1–28.8) | 12.4 (6.9–22.2) |
| Matambag | 95 | 80 | 84.2% (76.7–91.7) | 26.7 (20.3–35.1) | 18 | 19.0% (16.9–27.0) | 10.7 (6.1–18.5) |
| Mabaras | 86 | 82 | 95.4% (90.8–99.9) | 21.0 (16.5–26.7) | 16 | 18.6% (10.2–27.0) | 13.4 (7.1–25.2) |
| Manajao | 96 | 93 | 96.9% (93.3–100) | 24.5 (18.0–33.4) | 28 | 29.2% (19.9–38.4) | 9.3 (6.5–13.3) |
| Magsaysay | 94 | 84 | 90.4% (84.4–96.5) | 33.9 (23.0–49.7) | 24 | 25.5% (16.6–34.5) | 9.24 (6.2–13.8) |
*95% Confidence Interval
** Geometric Mean Eggs per Gram of feces in infected people
Cross tabulation comparison of Kato-Katz and qPCR results.
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| 121 | 7 | 128 |
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| 384 | 48 | 432 |
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| 505 | 55 | 560 |
Association between the EPG determined by the KK and qPCR.
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| KK egg count |
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| Negative | 432 | 384 (88.9%) | 7.78–21.99 | 16.52 | 17.0 (16.6–17.3) | 1.25–500 | 25 | 34.9 (29.8–40.8) |
| 1–100 | 123 | 116 (94.3%) | 9.73–21.95 | 16.43 | 16.4 (15.9–17.0) | 1.25–500 | 25 | 35.3 (27.1–45.9) |
| 100–400 | 5 | 5 (100%) | 11.39–16.12 | 14.17 | 14.0 (11.9–16.6) | 25–500 | 100 | 109.3 (24.5–487.2) |
| >400 | 0 | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
#Range and Median of the qPCR positive samples
*KK first stool sample count only
**N of KK(Kato-Katz) samples
*** 95% Confidence interval
aGeometric mean eggs per gram calculated by qPCR Ct (cycle threshold)
bGeomeric mean eggs per gram calculated by KK
Egg recovery for microscopic validation of qPCR and comparison with the KK and qPCR.
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| 1A | 1.2 | 2 | 129.2 | 260 | 500 |
| 2A | 2.43 | 1 | 6.2 | 0 | 100 |
| 3A | 1.3 | 1 | 38.5 | 260 | 500 |
| 4A | 1.22 | 2 | 0 | 0 | 100 |
| 5A | 0.8 | 1 | 0 | 6.7 | 250 |
| 6A | 0.6 | 1 | 4.2 | 193.3 | 250 |
| 7A | 2 | 1 | 7.5 | 23.3 | 10 |
| 8A | 1.9 | 1 | 0 | 0 | 0 |
| 9A | 1.54 | 2 | 9.7 | 0 | 10 |
| 10A | 1.7 | 2 | 2.9 | 0 | 250 |
| 11A | 1.23 | 1.5 | 3.1 | 0 | 25 |
| 12A | 1.62 | 2.5 | 19.3 | 6.7 | 50 |
| 13A | 2.2 | 1 | 0 | 0 | 0 |
| 14A | 1.33 | 2 | 22.6 | 63.3 | 25 |
| 15A | 2.8 | 2 | 5 | 0 | 0 |
| 16A | 2.1 | 2.5 | 9.22 | 10 | 25 |
| 17A | 1.7 | 2 | 7.9 | 0 | 250 |
| 18A | 1.8 | 2.5 | 9.7 | 0 | 25 |
| 19A | 2.1 | 2.5 | 12.2 | 0 | 250 |
| 20A | 2 | 2.5 | 9.4 | 0 | 10 |
Microscopic validation used a modified FEA-SD (Formalin ethyl-acetate sedimentation) technique applied to 20 randomly selected samples. The total weight used for the modified FEA-SD is shown in column 2. Column 3 shows the remaining volume of re-suspended sediment after processing by the modified FEA-SD. Column 4 shows the calculated EPG using the modified FEA-SD. EPG determined by the KK (Kato-Katz) and qPCR for the corresponding samples is also shown.
aCalculated EPG of the modified FEA-SD used for microscopic validation of qPCR
bEggs Per Gram of feces.