| Literature DB >> 26812466 |
Rafael Van den Bergh, Pascale Chaillet, Mamadou Saliou Sow, Mathieu Amand, Charlotte van Vyve, Sylvie Jonckheere, Rosa Crestani, Armand Sprecher, Michel Van Herp, Arlene Chua, Erwan Piriou, Lamine Koivogui, Annick Antierens.
Abstract
Rapid diagnostic methods are essential in control of Ebola outbreaks and lead to timely isolation of cases and improved epidemiologic surveillance. Diagnosis during Ebola outbreaks in West Africa has relied on PCR performed in laboratories outside this region. Because time between sampling and PCR results can be considerable, we assessed the feasibility and added value of using the Xpert Ebola Assay in an Ebola control program in Guinea. A total of 218 samples were collected during diagnosis, treatment, and convalescence of patients. Median time for obtaining results was reduced from 334 min to 165 min. Twenty-six samples were positive for Ebola virus. Xpert cycle thresholds were consistently lower, and 8 (31%) samples were negative by routine PCR. Several logistic and safety issues were identified. We suggest that implementation of the Xpert Ebola Assay under programmatic conditions is feasible and represents a major advance in diagnosis of Ebola virus disease without apparent loss of assay sensitivity.Entities:
Keywords: Ebola; Ebola virus; Ebola virus disease; Guinea; Médecins Sans Frontières; PCR; Xpert Ebola Assay; diagnosis; diagnostic techniques; outbreak; viruses
Mesh:
Substances:
Year: 2016 PMID: 26812466 PMCID: PMC4734513 DOI: 10.3201/eid2202.151238
Source DB: PubMed Journal: Emerg Infect Dis ISSN: 1080-6040 Impact factor: 6.883
Figure 1Frequency of sampling for Ebola virus at Médecins Sans Frontières (MSF) Donka Ebola Treatment Center, Conakry, Guinea, May–June 2015.
Characteristics of 148 patients and 218 blood samples collected for analysis by Xpert Ebola Assay at Médecins Sans Frontières Donka Ebola Treatment Center, Conakry, Guinea, May–June 2015
| Characteristic | No. (%) |
|---|---|
| Patient sex | |
| F | 59 (40) |
| M | 89 (60) |
| Patient age, y | |
| 2–4 | 15 (10) |
| 5–18 | 19 (13) |
| 19–45 | 84 (57) |
| 46–64 | 16 (11) |
|
| 11 (7) |
| Not recorded | 3 (2) |
| Sample type | |
| Diagnosis 1* | 147 (67) |
| Diagnosis 2 (confirmation) | 52 (24) |
| After transfusion | 12 (6) |
| Convalescent phase | 7 (3) |
*One patient (2-year-old boy) did not have an initial diagnostic sample obtained for the study.
Timing of steps in Xpert Ebola Assay for blood samples collected at Médecins Sans Frontières Donka Ebola Treatment Center, Conakry, Guinea, May–June 2015*
| Step | Median (IQR), min |
|---|---|
| Sampling obtained to sample received at laboratory† | 11 (5–20) |
| Sample received to inactivation | 14 (8–28) |
| Inactivation to start of assay | 49 (43–56) |
| Start of assay to end of assay | 94 (94–95) |
| End of assay to result available | 2 (1–8) |
*IQR, interquartile range. †Only 67 samples were included; time of collection was not recorded for other samples.
Figure 2Tukey boxplot of time required from receiving sample in laboratory to obtaining results by Xpert Ebola assay and routine PCR at Médecins Sans Frontières Ebola Donka Treatment Center, Conakry, Guinea, May–June 2015. Boxes indicate first and third quartiles; vertical dashed lines indicate medians; whiskers indicate 1.5 times interquartile ranges (IQRs); asterisks indicate outliers >3 times the IQR; and circles indicate outliers 1.5–3 times the IQR.
Blood samples identified as positive for Ebola virus by Xpert Ebola Assay at Médecins Sans Frontières Donka Ebola Treatment Center, Conakry, Guinea, May–June 2015
| Sample type | No. positive by Xpert Ebola Assay | No. (%) positive by routine PCR |
|---|---|---|
| Total | 26 | 18 (69) |
| Diagnosis 1 | 8 | 8 (100) |
| Diagnosis 2 | 0 | 0 |
| After transfusion | 12 | 9 (75) |
| Convalescent phase | 6 | 1 (17) |
Figure 3Ebola virus cycle threshold (Ct) values for GeneXpert Ebola Assay (nucleocapsid protein [NP] and glycoprotein [GP] genes) and routine PCR (NP gene) for patient samples identified as positive for Ebola virus by Xpert Ebola Assay at Médecins Sans Frontières Donka Ebola Treatment Center, Conakry, Guinea, May–June 2015. ID, identification.
Figure 4Laboratory staff feedback on key aspects of implementation of Xpert Ebola assay at Médecins Sans Frontières Donka Ebola Treatment Center, Conakry, Guinea, May–June 2015.
Main user concerns for Xpert Ebola Assay at Médecins Sans Frontières Donka Ebola Treatment Center, Conakry, Guinea, May–June 2015
| Concern |
| Biosafety |
| • There were difficulties in preventing the rim of the inactivation vial from being touched by the tip of the pipette (which was contaminated with blood). Because material on the rim is not inactivated, this situation could be a considerable biohazard; the only strategy to avoid this situation was close observation of the vial rim by laboratory staff. |
| • Three incidents were reported in which vials containing inactivation fluid were dropped because of difficulties in handling vials with required biosecurity gloves; no incidents occurred with sample already added. |
| • The decontamination process for vials and transferring these vials to a low-risk zone did not compromise assay performance. |
| Instruments |
| • It was not possible to automatically export Xpert Ebola Assay data into an existing database; thus, manual coding was required. |
| • More detailed information on assay characteristics (e.g., PCR efficiency) was not available for users. |
| • Compatibility issues were identified when we attempted to set up a laboratory in which French was spoken; this problem remained unresolved throughout the study. |
| Logistics |
| • Power failures could usually be corrected by an uninterrupted power supply, which could support a full Xpert Ebola Assay run without depleting >25% of the power supply. However, the computer to which the Xpert Ebola Assay was linked could not be supported by the uninterrupted power supply and ran on its own battery. On several occasions, the uninterrupted power supply was reconfigured because of daily switching between day and night generators and failed to support the assay. |
| • Failure of air conditioning resulted in ambient temperatures of 28°C–31°C, but this failure did not have a major effect on instruments used (manufacturer’s recommendations are to work at a temperature <30°C); only 1 run failure was observed. |
| • At the time of the study, insufficient information was available on storage conditions for reagents. |
| • Sufficient space was needed to store all equipment and consumable materials and handle chemicals (e.g., chlorine solution) for sample processing. However, the field laboratory (area ≈2.5 m × 5.5 m) was too small for storage of all materials. |