| Literature DB >> 29157211 |
Godfrey Bwire1, Christopher Garimoi Orach2, Dauda Abdallah3, Amanda Kay Debes4, Atek Kagirita5, Malathi Ram4, David A Sack4.
Abstract
BACKGROUND: Detection, confirmation and monitoring of cholera outbreaks in many developing countries including Uganda is a big challenge due to lack of the required resources and the time the test takes. Culture method which takes 24-48 h to get the feedback and requires highly skilled laboratory staff plus other complex resources is the standard test. This study evaluated the new cholera rapid detection method that relies on Crystal VC dipsticks after enrichment with alkaline peptone water (APW) against the culture method for monitoring the progress of cholera outbreaks in rural setting.Entities:
Keywords: Alkaline peptone water; Dipstick; Epidemic monitoring; Outbreak detection; RDT; Rapid test; Vibrio cholerae
Mesh:
Substances:
Year: 2017 PMID: 29157211 PMCID: PMC5696767 DOI: 10.1186/s12879-017-2824-8
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Interpretation of 1% APW enriched test and culture results for stool samples tested during the study period, 14th March to 26th June 2015
| Standard Diagnostic test (culture) | |||
|---|---|---|---|
| Enriched test with 1% APW | Positive | Negative | Total |
| Positive | 91 | 1 | 92 |
| Negative | 1 | 9 | 10 |
| Total | 92 | 10 | 102 |
| Sensitivity | 98.9%, (95% CI: 94.09–99.97%) | ||
| Specificity | 90%, (95% CI: 55.5–99.75%) | ||
| Positive Predictive Value (PPV) | 98.9% | ||
| Negative Predictive Value(NPV) | 90.0% | ||
Fig. 1Weekly reported cholera cases and deaths in the three cholera treatment centres in Kasese district, March–June 2015
Fig. 2Age and sex of the suspected cholera cases recorded in the three cholera treatment centres in Kasese district, March–June 2015
Cholera attack and case fatality rates stratified by the sub-counties of origin of cases during cholera outbreak in Kasese district, March–June 2015
| Place or Subcounty of Origin | Number of cases | Number of Deaths | Projected Population | Attack Rate Per 10,000 | Case Fatality Rate |
|---|---|---|---|---|---|
| DRC | 5 | 0 | – | 0.0 | 0.0% |
| Ihandiro | 20 | 0 | 13,549 | 14.8 | 0.0% |
| Isango | 3 | 0 | 8099 | 3.7 | 0.0% |
| Karambi | 19 | 1 | 8099 | 23.5 | 5.3% |
| Katwe TC | 1 | 0 | 6411 | 1.6 | 0.0% |
| Bwera | 7 | 0 | 17,455 | 4.0 | 0.0% |
| MLTC | 28 | 1 | 51,018 | 5.5 | 3.6% |
| Mukunyu | 1 | 0 | 1854 | 0.3 | 0.0% |
| Maliba | 8 | 0 | 47,585 | 1.7 | 0.0% |
| Kitswamba | 31 | 0 | 30,009 | 10.3 | 0.0% |
| Nyakiyumbu | 13 | 0 | 31,854 | 4.1 | 0.0% |
| Kitholhu | 10 | 0 | 17,131 | 5.8 | 0.0% |
| Total | 141 | 2 | 263,064 | 5.4 | 1.4% |
Note that five (5) patients came from the neighboring country, Democratic Republic of Congo (DRC)
Most of the cases came from the nearby sub-counties, close to the hospitals as shown in Fig. 3
Fig. 3The map of Kasese district showing distribution of cholera cases by their places of origin that were treated at the three cholera treatment centers, March–June 2015