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      Point‐of‐care viral load tests to detect high HIV viral load in people living with HIV/AIDS attending health facilities

      systematic-review
      , , ,
      Cochrane Infectious Diseases Group
      The Cochrane Database of Systematic Reviews
      John Wiley & Sons, Ltd

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          Abstract

          Background

          Viral load (VL) testing in people living with HIV (PLHIV) helps to monitor antiretroviral therapy (ART). VL is still largely tested using central laboratory‐based platforms, which have long test turnaround times and involve sophisticated equipment. VL tests with point‐of‐care (POC) platforms capable of being used near the patient are potentially easy to use, give quick results, are cost‐effective, and could replace central or reference VL testing platforms.

          Objectives

          To estimate the diagnostic accuracy of POC tests to detect high viral load levels in PLHIV attending healthcare facilities.

          Search methods

          We searched eight electronic databases using standard, extensive Cochrane search methods, and did not use any language, document type, or publication status limitations. We also searched the reference lists of included studies and relevant systematic reviews, and consulted an expert in the field from the World Health Organization (WHO) HIV Department for potentially relevant studies. The latest search was 23 November 2020.

          Selection criteria

          We included any primary study that compared the results of a VL test with a POC platform to that of a central laboratory‐based reference test to detect high viral load in PLHIV on HIV/AIDS care or follow‐up. We included all forms of POC tests for VL as defined by study authors, regardless of the healthcare facility in which the test was conducted. We excluded diagnostic case‐control studies with healthy controls and studies that did not provide sufficient data to create the 2 × 2 tables to calculate sensitivity and specificity. We did not limit our study inclusion to age, gender, or geographical setting.

          Data collection and analysis

          Two review authors independently screened the titles, abstracts, and full texts of the search results to identify eligible articles. They also independently extracted data using a standardized data extraction form and conducted risk of bias assessment using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS‐2) tool. Using participants as the unit of analysis, we fitted simplified univariable models for sensitivity and specificity separately, employing a random‐effects model to estimate the summary sensitivity and specificity at the current and commonly reported World Health Organization (WHO) threshold (≥ 1000 copies/mL). The bivariate models did not converge to give a model estimate.

          Main results

          We identified 18 studies (24 evaluations, 10,034 participants) defining high viral loads at main thresholds ≥ 1000 copies/mL (n = 20), ≥ 5000 copies/mL (n = 1), and ≥ 40 copies/mL (n = 3). All evaluations were done on samples from PLHIV retrieved from routine HIV/AIDS care centres or health facilities. For clinical applicability, we included 14 studies (20 evaluations, 8659 participants) assessing high viral load at the clinical threshold of ≥ 1000 copies/mL in the meta‐analyses. Of these, sub‐Saharan Africa, Europe, and Asia contributed 16, three, and one evaluation respectively. All included participants were on ART in only nine evaluations; in the other 11 evaluations the proportion of participants on ART was either partial or not clearly stated. Thirteen evaluations included adults only (n = 13), five mixed populations of adults and children, whilst in the remaining two the age of included populations was not clearly stated. The majority of evaluations included commercially available tests (n = 18). Ten evaluations were POC VL tests conducted near the patient in a peripheral or onsite laboratory, whilst the other 10 were evaluations of POC VL tests in a central or reference laboratory setting. The test types evaluated as POC VL tests included Xpert HIV‐1 Viral Load test (n = 8), SAMBA HIV‐1 Semi‐Q Test (n = 9), Alere Q NAT prototype assay for HIV‐1 (n = 2) and m‐PIMA HIV‐1/2 Viral Load test (n = 1). The majority of evaluations (n = 17) used plasma samples, whilst the rest (n = 3) utilized whole blood samples.

          Pooled sensitivity (95% confidence interval (CI)) of POC VL at a threshold of ≥ 1000 copies/mL was 96.6% (94.8 to 97.8) (20 evaluations, 2522 participants), and pooled specificity (95% CI) was 95.7% (90.8 to 98.0) (20 evaluations, 6137 participants). Median prevalence for high viral load (≥ 1000 copies/mL) (n = 20) was 33.4% (range 6.9% to 88.5%).

          Limitations

          The risk of bias was mostly assessed as unclear across the four domains due to incomplete reporting.

          Authors' conclusions

          We found POC VL to have high sensitivity and high specificity for the diagnosis of high HIV viral load in PLHIV attending healthcare facilities at a clinical threshold of ≥ 1000 copies/mL.

          Plain language summary

          Point‐of‐care tests for detecting high viral load in people living with HIV attending healthcare facilities

          Why is improving the diagnosis of high HIV viral load infection important?

          It helps to monitor the HIV virus levels in people living with HIV (PLHIV) who are receiving antiretroviral therapy (ART). High virus levels indicate that the medications are failing to suppress the virus, a condition known as ART treatment failure, which has a risk of severe illness and death. Rapid diagnostic tests that detect high HIV virus levels quickly near the patient (point‐of‐care) can increase access to early changes in ART.

          What is the aim of this review?

          To determine the accuracy of point‐of‐care (POC) tests for diagnosing high HIV virus levels in PLHIV attending healthcare facilities.

          What was studied in this review?

          Point‐of‐care tests for viral load detection with results measured against central laboratory tests (reference test). We included all forms of tests with POC platforms for VL regardless of the healthcare facility in which the test was conducted.

          What are the main results in this review?

          Fourteen studies that completed 20 evaluations involving 8659 participants compared molecular POC tests for diagnosing high virus levels at the clinically recommended positivity threshold of ≥ 1000 copies/mL.

          What are the strengths and limitations of this review?

          The review included sufficient studies done on samples from PLHIV retrieved from routine HIV/AIDS care centres or health facilities, but it was unclear if all included participants were on ART. Also, none of the included tests was a true POC test conducted at the patient's side: half of the included studies (n = 10) evaluated POC tests in onsite laboratories near the patient, and the other half were tests with POC platforms evaluated in a central or reference laboratory (n = 10).

          To whom do the results of this review apply?

          PLHIV with suspected high viral loads attending healthcare facilities.

          What are the implications of this review?

          In theory, for a population of 1000 PLHIV where 100 have high virus levels, 136 people would receive a positive result with the molecular POC test; of these, 39 will not have high viral levels (false‐positive result) and would be incorrectly identified as not responding to ART treatment, possibly leading to unnecessary testing or further treatment; and 864 would receive a negative test result with the molecular POC test; of these, three will actually have high virus levels (false‐negative result) and would be missed whilst failing ART treatment.

          How up‐to‐date is this review?

          The evidence is current to 23 November 2020.

          Related collections

          Most cited references119

          • Record: found
          • Abstract: found
          • Article: not found

          QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

          In 2003, the QUADAS tool for systematic reviews of diagnostic accuracy studies was developed. Experience, anecdotal reports, and feedback suggested areas for improvement; therefore, QUADAS-2 was developed. This tool comprises 4 domains: patient selection, index test, reference standard, and flow and timing. Each domain is assessed in terms of risk of bias, and the first 3 domains are also assessed in terms of concerns regarding applicability. Signalling questions are included to help judge risk of bias. The QUADAS-2 tool is applied in 4 phases: summarize the review question, tailor the tool and produce review-specific guidance, construct a flow diagram for the primary study, and judge bias and applicability. This tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
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            • Record: found
            • Abstract: found
            • Article: not found

            Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews.

            Studies of diagnostic accuracy most often report pairs of sensitivity and specificity. We demonstrate the advantage of using bivariate meta-regression models to analyze such data. We discuss the methodology of both the summary Receiver Operating Characteristic (sROC) and the bivariate approach by reanalyzing the data of a published meta-analysis. The sROC approach is the standard method for meta-analyzing diagnostic studies reporting pairs of sensitivity and specificity. This method uses the diagnostic odds ratio as the main outcome measure, which removes the effect of a possible threshold but at the same time loses relevant clinical information about test performance. The bivariate approach preserves the two-dimensional nature of the original data. Pairs of sensitivity and specificity are jointly analyzed, incorporating any correlation that might exist between these two measures using a random effects approach. Explanatory variables can be added to the bivariate model and lead to separate effects on sensitivity and specificity, rather than a net effect on the odds ratio scale as in the sROC approach. The statistical properties of the bivariate model are sound and flexible. The bivariate model can be seen as an improvement and extension of the traditional sROC approach.
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              • Record: found
              • Abstract: found
              • Article: not found

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

              The aim of diagnostic point-of-care testing is to minimise the time to obtain a test result, thereby allowing clinicians and patients to make a quick clinical decision. Because point-of-care tests are used in resource-limited settings, the benefits need to outweigh the costs. To optimise point-of-care testing in resource-limited settings, diagnostic tests need rigorous assessments focused on relevant clinical outcomes and operational costs, which differ from assessments of conventional diagnostic tests. We reviewed published studies on point-of-care testing in resource-limited settings, and found no clearly defined metric for the clinical usefulness of point-of-care testing. Therefore, we propose a framework for the assessment of point-of-care tests, and suggest and define the term test efficacy to describe the ability of a diagnostic test to support a clinical decision within its operational context. We also propose revised criteria for an ideal diagnostic point-of-care test in resource-limited settings. Through systematic assessments, comparisons between centralised testing and novel point-of-care technologies can be more formalised, and health officials can better establish which point-of-care technologies represent valuable additions to their clinical programmes. Copyright © 2014 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Cochrane Database Syst Rev
                Cochrane Database Syst Rev
                14651858
                10.1002/14651858
                The Cochrane Database of Systematic Reviews
                John Wiley & Sons, Ltd (Chichester, UK )
                1469-493X
                10 March 2022
                2022
                10 March 2022
                : 2022
                : 3
                : CD013208
                Affiliations
                deptCentre for Global Health Research Kenya Medical Research Institute KisumuKenya
                deptCentre for Evidence-based Health Care, Department of Global Health, Faculty of Medicine and Health Sciences Stellenbosch University Cape TownSouth Africa
                deptSchool of Economics University of Nairobi NairobiKenya
                deptTest Evaluation Research Group, Institute of Applied Health Research University of Birmingham BirminghamUK
                deptUCL Centre for Medical Imaging, Division of Medicine, Faculty of Medical Sciences University College London LondonUK
                Article
                CD013208.pub2 CD013208
                10.1002/14651858.CD013208.pub2
                8908762
                35266555
                fa56b128-c383-4404-8f92-976d525fb919
                Copyright © 2022 The Authors. Cochrane Database of Systematic Reviews published by John Wiley & Sons, Ltd. on behalf of The Cochrane Collaboration.

                This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial Licence, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                Categories
                Diagnosis
                Infectious disease
                Reproductive & sexual health
                HIV

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