Literature DB >> 28529048

Laboratory-based performance evaluation of PIMA CD4+ T-lymphocyte count point-of-care by lay-counselors in Kenya.

Clement Zeh1, Charles E Rose1, Seth Inzaule2, Mitesh A Desai1, Fredrick Otieno2, Felix Humwa2, Benta Akoth2, Paul Omolo2, Robert T Chen3, Yenew Kebede2, Taraz Samandari1.   

Abstract

BACKGROUND: CD4+ T-lymphocyte count testing at the point-of-care (POC) may improve linkage to care of persons diagnosed with HIV-1 infection, but the accuracy of POC devices when operated by lay-counselors in the era of task-shifting is unknown. We examined the accuracy of Alere's Pima™ POC device on both capillary and venous blood when performed by lay-counselors and laboratory technicians.
METHODS: In Phase I, we compared the perfomance of POC against FACSCalibur™ for 280 venous specimens by laboratory technicians. In Phase II we compared POC performance by lay-counselors versus laboratory technicians using 147 paired capillary and venous specimens, and compared these to FACSCalibur™. Statistical analyses included Bland-Altman analyses, concordance correlation coefficient, sensitivity, and specificity at treatment eligibility thresholds of 200, 350, and 500cells/μl.
RESULTS: Phase I: POC sensitivity and specificity were 93.0% and 84.1% at 500cells/μl, respectively. Phase II: Good agreement was observed for venous POC results from both lay-counselors (concordance correlation coefficient (CCC)=0.873, bias -86.4cells/μl) and laboratory technicians (CCC=0.920, bias -65.7cells/μl). Capillary POC had good correlation: lay-counselors (CCC=0.902, bias -71.2cells/μl), laboratory technicians (CCC=0.918, bias -63.0cells/μl). Misclassification at the 500 cells/μl threshold for venous blood was 13.6% and 10.2% for lay-counselors and laboratory technicians and 12.2% for capillary blood in both groups. POC tended to under-classify the CD4 values with increasingly negative bias at higher CD4 values.
CONCLUSIONS: Pima™ results were comparable to FACSCalibur™ for both venous and capillary specimens when operated by lay-counselors. POC CD4 testing has the potential to improve linkage to HIV care without burdening laboratory technicians in resource-limited settings. Published by Elsevier B.V.

Entities:  

Keywords:  Alere PIMA; Point of care CD4 evaluation

Mesh:

Year:  2017        PMID: 28529048      PMCID: PMC6118119          DOI: 10.1016/j.jim.2017.05.006

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  20 in total

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2.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

Review 3.  Diagnostic point-of-care tests in resource-limited settings.

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4.  Rates of disease progression by baseline CD4 cell count and viral load after initiating triple-drug therapy.

Authors:  R S Hogg; B Yip; K J Chan; E Wood; K J Craib; M V O'Shaughnessy; J S Montaner
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5.  Rapid point-of-care CD4 testing at mobile HIV testing sites to increase linkage to care: an evaluation of a pilot program in South Africa.

Authors:  Bruce A Larson; Kathryn Schnippel; Buyiswa Ndibongo; Thembisile Xulu; Alana Brennan; Lawrence Long; Matthew P Fox; Sydney Rosen
Journal:  J Acquir Immune Defic Syndr       Date:  2012-10-01       Impact factor: 3.731

6.  Initiation of antiretroviral therapy and viral suppression after home HIV testing and counselling in KwaZulu-Natal, South Africa, and Mbarara district, Uganda: a prospective, observational intervention study.

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Journal:  Lancet HIV       Date:  2014-11       Impact factor: 12.767

7.  High HIV testing uptake and linkage to care in a novel program of home-based HIV counseling and testing with facilitated referral in KwaZulu-Natal, South Africa.

Authors:  Heidi van Rooyen; Ruanne V Barnabas; Jared M Baeten; Zipho Phakathi; Philip Joseph; Meighan Krows; Ting Hong; Pamela M Murnane; James Hughes; Connie Celum
Journal:  J Acquir Immune Defic Syndr       Date:  2013-09-01       Impact factor: 3.731

8.  The prognostic value of cellular and serologic markers in infection with human immunodeficiency virus type 1.

Authors:  J L Fahey; J M Taylor; R Detels; B Hofmann; R Melmed; P Nishanian; J V Giorgi
Journal:  N Engl J Med       Date:  1990-01-18       Impact factor: 91.245

9.  Adoption of national recommendations related to use of antiretroviral therapy before and shortly following the launch of the 2013 WHO consolidated guidelines.

Authors:  Lisa J Nelson; Michael Beusenberg; Vincent Habiyambere; Nathan Shaffer; Marco A Vitoria; Raul Gonzalez Montero; Philippa J Easterbrook; Meg C Doherty
Journal:  AIDS       Date:  2014-03       Impact factor: 4.177

Review 10.  Quantifying and addressing losses along the continuum of care for people living with HIV infection in sub-Saharan Africa: a systematic review.

Authors:  Katharina Kranzer; Darshini Govindasamy; Nathan Ford; Victoria Johnston; Stephen D Lawn
Journal:  J Int AIDS Soc       Date:  2012-11-19       Impact factor: 5.396

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  5 in total

1.  Field Performance of PIMA Point-of-Care Machine for CD4 Enumeration Under a Mobile HIV Counseling and Testing Program in Remote Fishing Communities of Lake Victoria, Uganda.

Authors:  Annemarie Namuniina; Fredrick Lutwama; Victoria Menya Biribawa; David Kizza; Brian Roy Kabuubi; Paul Kato Kitandwe; Juliet Mpendo; Annet Nanvubya; Julius Ssempiira; Annet Nalutaaya; Ali Ssetaala; Sabrina Welsh; Matt A Price; Noah Kiwanuka; Bernard Ssentalo Bagaya
Journal:  AIDS Res Hum Retroviruses       Date:  2019-02-14       Impact factor: 2.205

2.  A flow-through cell counting assay for point-of-care enumeration of CD4 T-cells.

Authors:  Simon Bystryak; Rajiv P Bandwar; Rasa Santockyte
Journal:  J Virol Methods       Date:  2019-05-28       Impact factor: 2.014

3.  Performance of non-laboratory staff for diagnostic testing and specimen collection in HIV programs: A systematic review and meta-analysis.

Authors:  Lara Vojnov; Miriam Taegtmeyer; Caroline Boeke; Jessica Markby; Lindsay Harris; Meg Doherty; Trevor Peter; Nathan Ford
Journal:  PLoS One       Date:  2019-05-02       Impact factor: 3.240

4.  Onsite healthcare worker acceptability and performance of the point-of-care Pima CD4 assay in Dar es Salaam, Tanzania.

Authors:  Mary E Schmitz; Karen Chang; Nichole Arnett; Luciana Kohatsu; Ruth Lemwayi; Michael Mwasekaga; John Nkengasong; Omotayo Bolu; Fausta Mosha; Larry Westerman
Journal:  Afr J Lab Med       Date:  2019-11-21

Review 5.  Point of Care Diagnostics in Resource-Limited Settings: A Review of the Present and Future of PoC in Its Most Needed Environment.

Authors:  Benjamin Heidt; Williane F Siqueira; Kasper Eersels; Hanne Diliën; Bart van Grinsven; Ricardo T Fujiwara; Thomas J Cleij
Journal:  Biosensors (Basel)       Date:  2020-09-24
  5 in total

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