Performance of Cepheid Xpert HIV-1 viral load plasma assay to accurately detect treatment failure.


Journal

AIDS (London, England)
ISSN: 1473-5571
Titre abrégé: AIDS
Pays: England
ID NLM: 8710219

Informations de publication

Date de publication:
01 10 2019
Historique:
pubmed: 6 7 2019
medline: 13 8 2020
entrez: 6 7 2019
Statut: ppublish

Résumé

Coverage of viral load testing remains low with only half of the patients in need having adequate access. Alternative technologies to high throughput centralized machines can be used to support viral load scale-up; however, clinical performance data are lacking. We conducted a meta-analysis comparing the Cepheid Xpert HIV-1 viral load plasma assay to traditional laboratory-based technologies. Cepheid Xpert HIV-1 and comparator laboratory technology plasma viral load results were provided from 13 of the 19 eligible studies, which accounted for a total of 3790 paired data points. We used random effects models to determine the accuracy and misclassification at various treatment failure thresholds (detectable, 200, 400, 500, 600, 800 and 1000 copies/ml). Thirty percent of viral load test results were undetectable, while 45% were between detectable and 10 000 copies/ml and the remaining 25% were above 10 000 copies/ml. The median Xpert viral load was 119 copies/ml and the median comparator viral load was 157 copies/ml, while the log10 bias was 0.04 (0.02-0.07). The sensitivity and specificity to detect treatment failure were above 95% at all treatment failure thresholds, except for detectable, at which the sensitivity was 93.33% (95% confidence interval: 88.2-96.3) and specificity was 80.56% (95% CI: 64.6-90.4). The Cepheid Xpert HIV-1 viral load plasma assay results were highly comparable to laboratory-based technologies with limited bias and high sensitivity and specificity to detect treatment failure. Alternative specimen types and technologies that enable decentralized testing services can be considered to expand access to viral load.

Sections du résumé

BACKGROUND
Coverage of viral load testing remains low with only half of the patients in need having adequate access. Alternative technologies to high throughput centralized machines can be used to support viral load scale-up; however, clinical performance data are lacking. We conducted a meta-analysis comparing the Cepheid Xpert HIV-1 viral load plasma assay to traditional laboratory-based technologies.
METHODS
Cepheid Xpert HIV-1 and comparator laboratory technology plasma viral load results were provided from 13 of the 19 eligible studies, which accounted for a total of 3790 paired data points. We used random effects models to determine the accuracy and misclassification at various treatment failure thresholds (detectable, 200, 400, 500, 600, 800 and 1000 copies/ml).
RESULTS
Thirty percent of viral load test results were undetectable, while 45% were between detectable and 10 000 copies/ml and the remaining 25% were above 10 000 copies/ml. The median Xpert viral load was 119 copies/ml and the median comparator viral load was 157 copies/ml, while the log10 bias was 0.04 (0.02-0.07). The sensitivity and specificity to detect treatment failure were above 95% at all treatment failure thresholds, except for detectable, at which the sensitivity was 93.33% (95% confidence interval: 88.2-96.3) and specificity was 80.56% (95% CI: 64.6-90.4).
CONCLUSION
The Cepheid Xpert HIV-1 viral load plasma assay results were highly comparable to laboratory-based technologies with limited bias and high sensitivity and specificity to detect treatment failure. Alternative specimen types and technologies that enable decentralized testing services can be considered to expand access to viral load.

Identifiants

pubmed: 31274537
doi: 10.1097/QAD.0000000000002303
pmc: PMC7024604
mid: NIHMS1068776
doi:

Substances chimiques

Anti-HIV Agents 0

Types de publication

Evaluation Study Journal Article Meta-Analysis Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1881-1889

Subventions

Organisme : World Health Organization
ID : 001
Pays : International
Organisme : NIAID NIH HHS
ID : R01 AI122991
Pays : United States

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Auteurs

Jilian A Sacks (JA)

Clinton Health Access Initiative, Boston, Massachusetts.

Youyi Fong (Y)

Fred Hutchinson Cancer Research Center, Seattle, Washington.

Mercedes Perez Gonzalez (MP)

World Health Organization, Geneva, Switzerland.

Mauro Andreotti (M)

National Center for Global Health, Istituto Superiore di Sanita, Viale Regina Elena, Rome, Italy.

Shrikala Baliga (S)

Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Nigel Garrett (N)

Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.

Jeanne Jordan (J)

George Washington University, Washington, District of Columbia, USA.

Etienne Karita (E)

Project San Francisco/Rwanda-Zambia HIV Research Group, Kigali, Rwanda.

Smita Kulkarni (S)

ICMR-National AIDS Research Institute, Pune, Maharashtra, India.

Orna Mor (O)

Central Virology Laboratory, Public Health Services, Israel Ministry of Health, Tel - Hashomer, Israel.

Fausta Mosha (F)

National Health Laboratory Quality Assurance and Training Centre, Dar es Salaam, Tanzania.

Zibusiso Ndlovu (Z)

Medecins Sans Frontieres, Southern Medical Unit, Cape Town, South Africa.

Jean-Christophe Plantier (JC)

Normandie University, Unirouen, Rouen University Hospital, Laboratory of Virology, Rouen, France.

Shanmugam Saravanan (S)

Y. R. Gaitonde Centre for AIDS Research and Education, Taramani, Chennai, Tamil Nadu, India.

Lesley Scott (L)

Department of Molecular Medicine and Haemotology, School of Pathology, Faculty of Health Science, University of Witwatersrand, Johannesburg, South Africa.

Trevor Peter (T)

Clinton Health Access Initiative, Boston, Massachusetts.

Meg Doherty (M)

World Health Organization, Geneva, Switzerland.

Lara Vojnov (L)

World Health Organization, Geneva, Switzerland.

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