Evaluation of PIMA point-of-care CD4 testing in a large UK HIV service

Herbert, Sophie; Edwards, Simon; Carrick, G; Copas, Andrew; Sandford, Christopher; Amphlett, Marc; Benn, Paul

doi:10.1136/sextrans-2012-050507

Cited by 38 publications

(39 citation statements)

References 3 publications

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“…Whereas previous studies assessed the performance of FACSCount CD48 and Pima CD4,21–26,35,44,45 our study is the first independent study conducted by the WHO to evaluate the operational characteristics of these systems together with their performance, including error rates.…”

Section: Discussionmentioning

confidence: 99%

“…Misclassification of HIV patients at these thresholds may sometimes have grave outcomes. Very few studies have reported the ability of these assays to correctly classify patients at these critical thresholds 20,23,25,35. Laboratory and field evaluation of the CD4 systems is part of the prequalification of diagnostic program and is conducted after a successful review of the product dossier by the WHO.…”

Section: Introductionmentioning

confidence: 99%

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WHO Multicenter Evaluation of FACSCount CD4 and Pima CD4 T-Cell Count Systems

Wade

Daneau

Aboud

et al. 2014

JAIDS Journal of Acquired Immune Deficiency Syndromes

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

WHO Multicenter Evaluation of FACSCount CD4 and Pima CD4 T-Cell Count Systems

Wade

Daneau

Aboud

et al. 2014

JAIDS Journal of Acquired Immune Deficiency Syndromes

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“…Similarly, another new entrant for POC teasing called PIMA R is being used for the measurement of T-helper cells (also known as CD4 counts). Measurement of these cells is very crucial for antiretroviral HIV therapy and monitoring of immunosuppression [40]. A descriptive list of various existing POC testing devices can be found in [41].…”

Section: Open Source Ehr/emr Systemsmentioning

confidence: 99%

How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare?

et al. 2017

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Abstract:The need to have equitable access to quality healthcare is enshrined in the United Nations (UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of the UN for the next 15 years. In particular, the third SDG focuses on the need to "ensure healthy lives and promote well-being for all at all ages". In this paper, we build the case that 5G wireless technology, along with concomitant emerging technologies (such as IoT, big data, artificial intelligence and machine learning), will transform global healthcare systems in the near future. Our optimism around 5G-enabled healthcare stems from a confluence of significant technical pushes that are already at play: apart from the availability of high-throughput low-latency wireless connectivity, other significant factors include the democratization of computing through cloud computing; the democratization of Artificial Intelligence (AI) and cognitive computing (e.g., IBM Watson); and the commoditization of data through crowdsourcing and digital exhaust. These technologies together can finally crack a dysfunctional healthcare system that has largely been impervious to technological innovations. We highlight the persistent deficiencies of the current healthcare system and then demonstrate how the 5G-enabled healthcare revolution can fix these deficiencies. We also highlight open technical research challenges, and potential pitfalls, that may hinder the development of such a 5G-enabled health revolution.

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“…Subsequent fluorescent image cytometry is used to obtain the CD4+ and CD8+ T cell counts. The Alere Pima CD4 counter uses a similar method to label CD4+ T cells using cartridges containing a lyophilized antibody pellet [93], [94], and has shown some success in field testing including sites in Harare, Zimbabwe [95], Maputo, Mozambique [96], Gauteng Province, South Africa [97], Kampala, Uganda [98], and London, U.K. [99]. However, in some situations, it has operational costs similar to or more expensive than standard lab flow cytometric analysis [97], [100].…”

Section: B Global Health Solutions 1) Optical Methodsmentioning

confidence: 99%