| Literature DB >> 23071851 |
Michal H Dick1, Martine Guillerm, Francis Moussy, Claire-Lise Chaignat.
Abstract
BACKGROUND: Cholera, an ancient scourge, continues to inflict high rates of mortality today. The rising incidence of epidemics in areas of poor sanitation and crowding highlight the need for better epidemic prevention and early response. Such interventions require the availability of rapid and accurate diagnostic techniques to trigger timely response and mitigate the scale of the outbreak. The current gold standard of bacterial culture is inadequate for rapid diagnosis, highlighting the overarching neglect of field diagnostic needs. This paper was written to support the World Health Organisation's Global Task Force on Cholera Control mandated Cholera and diarrhoeal disease laboratory Network (CholdiNet) in devising a protocol for the validation of Rapid Diagnostic Tests (RDTs) for Vibrio cholerae. The status of diagnostic tools for Vibrio cholerae is assessed, describing products that have been commercialised over the last two decades and discussing their peer-reviewed evaluation.Entities:
Mesh:
Year: 2012 PMID: 23071851 PMCID: PMC3469466 DOI: 10.1371/journal.pntd.0001845
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Figure 1Process of article selection for diagnostic evaluation.
Positive Predictive Value ranking.
| Rank | Product name | PPV |
| 1[18] (Arya) | COAT | 100 |
| 2[15] (Nato) | IP cholera dipstick | 95.6 |
| 3[15] (Nato) | IP cholera dipstick | 94.8 |
| 4[15] (Nato) | IP cholera dipstick | 86 |
| 5[14] (Kalluri) | SMART | 84 |
| 6[14] (Kalluri) | IP dipstick | 83 |
| 7[14] (Kalluri) | Medicos | 71 |
Negative Predictive Value ranking.
| Rank | Product name | NPV |
| 1[15] (Nato) | IP cholera dipstick | 100 |
| 2[15] (Nato) | IP cholera dipstick | 98.6 |
| 3[18] (Arya) | COAT | 95 |
| 4[15] (Nato) | IP cholera dipstick | 93.3 |
| 5[14] (Kalluri) | Medicos | 90 |
| 6[14] (kalluri) | IP dipstick | 88 |
| 7[14] (kalluri) | SMART | 84 |
Tables 1 and 2 highlight those tests that were evaluated under field conditions with over 100 samples, excluding tests where this information was insufficiently reported.DFA = Direct Fluorescent Antibody, IP = Institute Pasteur, COAT = Coagglutination Test, VC = Vibrio cholerae, SMART = Sensitive Membrane Antigen Rapid Test.
Specificity ranking.
| Rank | Product name | Value |
| 1[21] Colwell | Cholera Screen | 100 |
| 2[20] Hasan | Cholera SMART | 100 |
| 3[16] Hasan | Bengal Screen | 100 |
| 4[17] Islam | Cholera SMART | 100 |
| 5[19] Hasan | DFA COLTA | 100 |
| 6[18] Arya | COAT | 100 |
| 7[20] Hasan | Cholera SMART | 100 |
| 8[15] Nato | IP cholera dipstick | 96 |
| 9[14] Kalluri | SMART | 95 |
| 10[15] Nato | IP cholera dipstick | 92.5 |
| 11[16] Hassan | Bengal DFA | 89 |
| 12[13] Wang | IP O1 cholera dipstick | 89 |
| 13[15] Nato | IP cholera dipstick | 84 |
| 14[14] Kalluri | Medicos | 79 |
| 15[21] Colwell | Cholera Screen | 77.8 |
| 16[12] Harris | Crystal VC | 71–76 |
| 17[14] Kalluri | IP dipstick | 67 |
| 18[21] Colwell | Cholera Screen | 60 |
Sensitivity ranking.
| Rank | Product name | Value |
| 1[15] Nato | IP cholera dipstick | 100 |
| 2[16] Hassan | Bengal DFA | 100 |
| 3[21] Colwell | Cholera Screen | 100 |
| 4[20] Hasan | Cholera SMART | 100 |
| 5[19] Hasan | DFA COLTA | 100 |
| 6[17] Islam | Cholera SMART | 100 |
| 7[15] Nato | IP cholera dipstick | 98.5 |
| 8[21] Colwell | Cholera Screen | 98 |
| 9[12] Harris | Crystal VC | 97 |
| 10[20] Hasan | Cholera SMART | 95.6 |
| 11[13] Wang | IP O1 cholera dipstick | 95 |
| 12[16] Hasan | Bengal Screen | 95 |
| 13[15] Nato | IP cholera dipstick | 94.2 |
| 14[18] Arya | COAT | 92 |
| 15[21] Colwell | Cholera Screen | 85.7 |
| 16[14] Kalluri | Medicos | 84 |
| 17[14] Kalluri | IP dipstick | 83 |
| 18[14] Kalluri | SMART | 58 |
Tables 3 and 4 list cholera diagnostic tests' specificity and sensitivity values as reported by field and laboratory evaluations. SMART = Sensitive Membrane Antigen Rapid Test, DFA = Direct Fluorescent Antibody, IP = Institute Pasteur, COAT = Coagglutination Test, VC = Vibrio cholerae.
Recommendations made to address shortcomings of diagnostic test evaluations.
| PROBLEMS | PROPOSED SOLUTIONS | |
| STUDY DESIGN | ||
| 1 | Small sample size• Limits validity and reproducibility | Larger studies are feasible |
| 2 | Variable sample type• Fresh vs. archives | Controversial |
| 3 | Gold standard• Uncertain standard case definition• Newer tests outperforming old | Recommend reviewing gold standard according to accuracy, cognisant of different uses for different contexts |
| 4 | Testing stools vs. purified cultures• Affects specificity | Stool samples should be used |
| 5 | Not approximating field conditions• Population descriptors are essential for PPV, NPV | Population descriptors should be reported for every population studied |
| 6 | Specificity• Limited data against common gut organisms | Specificity testing against confounding gut microflora should be considered prior to commercialisation |
| TEST DESCRIPTORS | ||
| 7 | Little data available on stability• Importance of climate variations i.e. temperature, humidity on shelf life and accuracy | Manufacturers should perform stability studies (real time preferably) |
| 8 | Reporting of reproducibility• Between different users• As an inherent quality of the tools• Assessment of manufacturing and inter-lot variation | User reproducibility reported between at least three users and with sufficient number of samples |
| SCIENTIFIC RIGOR | ||
| 9 | Conflation sensitivity with lowest detectable dilution | Scientific rigor should be a criteria for further inclusion and re-evaluation of test |