Viral load assay performs comparably to early infant diagnosis assay to diagnose infants with HIV in Mozambique: a prospective observational study

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Study Justification:
– Viral load testing is crucial for managing HIV disease, particularly in infants and children.
– Scaling up viral load and early infant diagnosis testing is challenging for resource-limited health systems.
– Streamlining laboratory systems can improve access to quality testing and increase efficiency of antiretroviral treatment programs.
– This study aims to evaluate the performance of viral load testing as an early infant diagnosis assay in children under 18 months.
Highlights:
– The study included 1021 infants born to HIV-positive mothers in Mozambique.
– Both viral load and early infant diagnosis assays were performed using dried blood spot specimens.
– The sensitivity and specificity of viral load testing to detect infection were 100% and 99.9% respectively.
– The positive and negative predictive values were 99.0% and 100% respectively.
– The performance of viral load testing was comparable to early infant diagnosis testing.
– Infants with low levels of viraemia or high cycle threshold values should be repeat tested before treatment initiation.
Recommendations:
– Viral load assays can be used as an infant diagnostic assay, potentially replacing traditional early infant diagnosis testing.
– This can streamline molecular laboratory services for children, lower costs, and provide baseline viral load results for antiretroviral treatment management.
Key Role Players:
– Health facilities in Maputo City and Maputo Province, Mozambique.
– National Institute of Health Reference laboratory in Maputo.
– Roche Molecular Diagnostics (manufacturer of the CAP/CTM HIV-1 Qualitative and Quantitative assays).
– Center for Disease Control and Prevention (provides external quality assessment programs).
– Mozambique National Health Bioethics Committee.
– Advarra Institutional Review Board (USA).
– Ethics Review Committee from the World Health Organization.
Cost Items for Planning Recommendations:
– Equipment and supplies for viral load testing (e.g., Roche CAP/CTM HIV-1 Quantitative Test v2).
– Training and capacity building for laboratory staff.
– Transportation and logistics for collecting and transporting dried blood spot specimens.
– Quality assurance and external quality assessment programs.
– Data management and analysis.
– Communication and dissemination of study findings.

Introduction: Viral load testing is essential to manage HIV disease, especially in infants and children. Early infant diagnosis is performed using nucleic-acid testing in children under 18 months. Resource-limited health systems face severe challenges to scale-up both viral load and early infant diagnosis to unprecedented levels. Streamlining laboratory systems would be beneficial to improve access to quality testing and to increase efficiency of antiretroviral treatment programmes. We evaluated the performance of viral load testing to serve as an early infant diagnosis assay in children younger than 18 months. Methods: This study was an observational, prospective study, including children between one and 18 months of age who were born to HIV-positive mothers in 134 health facilities in Maputo City and Maputo Province, Mozambique. Dried blood spot specimens from heel or toe pricks were collected between January and April 2018, processed using SPEX buffer for both assays, and tested for routine EID and VL testing using the Roche CAP/CTM HIV-1 Qualitative v2 and Roche CAP/CTM HIV-1 Quantitative v2 assays respectively. The sensitivity, specificity and positive and negative predictive values were estimated using the EID results as the reference standard. Results: A total of 1021 infants were included in the study, of which 47% were female. Over 95% of mothers and children were on antiretroviral treatment or received antiretroviral prophylaxis respectively. The sensitivity and specificity of using the viral load assay to detect infection were 100% (95% CI: 96.2 to 100%) and 99.9% (95% CI: 99.4 to 100%). The positive and negative predictive values were 99.0% (95% CI: 94.3 to 100%) and 100% (95% CI: 99.6 to 100%). The McNemar’s test was 1.000 and Cohen’s kappa was 0.994. Conclusions: The comparable performance suggests that viral load assays can be used as an infant diagnostic assay. Infants with either low levels of viraemia or high cycle threshold values should be repeat tested to ensure the result is truly positive prior to treatment initiation, regardless of assay used. Viral load assays could replace traditional early infant diagnosis testing, substantially streamlining molecular laboratory services for children and lowering costs, with the additional advantage of providing baseline viral load results for antiretroviral treatment management.

This was an observational, prospective study that included infants between one and 18 months of age born to HIV‐1‐positive mothers in need of a routine HIV Early Infant Diagnosis (EID) test. Infants excluded from the study were those less than one month and older than 18 months of age or with low quality specimen, according to the rejection criteria used for HIV EID routine testing in Mozambique. Samples were collected from 134 health facilities that attend to infants born to HIV‐positive mothers in Maputo City and Maputo Province between January and April 2018. Dried blood spot specimens were collected and referred to the National Institute of Health Reference laboratory in Maputo for EID routine testing and viral load testing. Demographic and clinical data for study participants were collected using a routine EID form, including gender, age and exposure to maternal treatment and infant prophylaxis. Because patient identifiers were not collected, remnant spots from routine clinical samples were used, and only standard clinical test results were provided to caregivers and clinicians, individual consent was waived and approval by the Institutional Review Boards that reviewed the protocol. Dried blood spot specimens (Whatman 903, GE Healthcare Biosciences, Pittsburgh, PA, USA) were drawn from the heel or toe pricks of eligible infants and transported within three weeks to the reference laboratory for early infant diagnosis HIV‐1 PCR testing using the Roche CAP/CTM 96 HIV‐1 Qualitative Test v2 (Roche Molecular Diagnostics, Branchburg, NJ, USA). Low quality specimens were excluded, including those without full dried blood spots and when two or more cards were in the same ziplock bag without glassine paper between the cards. This test detects extracellular and intracellular HIV‐1 RNA and proviral DNA in whole blood specimens. The Roche software automatically corrects for the haematocrit value in dried blood spot specimens. Infants were determined positive when the Roche CAP/CTM qualitative EID assay reported a detectable result with a cycle threshold less than 31. National policy states that laboratories should implement an indeterminate range that includes results with a cycle threshold (Ct) value of 31 or greater using the Roche CAP/CTM EID assay; infants with an initial EID cycle threshold value in this range received a second EID test, if possible, either on the same or a new sample before a definitive test result is determined. The EID definitive result was determined based on the test result of the second (repeat) Roche CAP/CTM EID test. If the repeat EID test result was target not detected, the infant was determined to be HIV negative. If the repeat EID test result was a detectable result, the infant was determined to be HIV positive. In this study, the viral load results were not used to determine positivity nor were they returned to the healthcare facility or caregiver. After the EID test result, HIV‐1 viral load testing was performed using the Roche CAP/CTM 96 HIV‐1 Quantitative Test v2 (Roche Molecular Diagnostics, Branchburg, NJ, USA) using remnant specimens. The Sample Pre‐Extraction (SPEX) solution was used for DBS elution for both qualitative and quantitative testing. The routine EID test results were returned to the healthcare facility and caregiver per national guidelines. Viral load test results were not provided to health care facilities or caregivers and were used for study purposes only. The reference laboratory routinely participated in and passed external quality assessment programmes for both EID and viral load (provided by the Center for Disease Control and Prevention, Atlanta, USA) prior to and during the study period. The sensitivity and specificity of quantitative testing (HIV viral load) as well as the positive and negative predictive values were estimated using the qualitative assay (EID) as the reference. Cohen’s kappa and McNemar’s test were also performed. Only valid results (detectable or undetectable) were used for these calculations; invalid results were excluded. Additionally, we conducted a sub‐analysis to determine the diagnostic accuracy of the viral load and EID assays if the indeterminate range is not implemented and the EID definitive result is based solely on the initial EID test result. We compared demographic data between HIV‐positive and HIV‐negative groups using the Chi‐square test. Data were analysed using SAS/STAT software version 9.4 (SAS Institute Inc, Cary, NC, USA). This study was approved by the Mozambique National Health Bioethics Committee, Advarra Institutional Review Board in the USA, and the Ethics Review Committee from the World Health Organization, Geneva, Switzerland.

The study mentioned in the title and description evaluates the performance of viral load testing as an early infant diagnosis (EID) assay for HIV in children under 18 months of age. The goal is to streamline laboratory systems and improve access to quality testing for infants born to HIV-positive mothers. Here are some potential recommendations based on the findings of the study:

1. Implement viral load testing as a substitute for traditional EID testing: The study found that viral load assays performed comparably to EID assays in diagnosing HIV infection in infants. Therefore, one recommendation would be to replace traditional EID testing with viral load testing, which can streamline molecular laboratory services for children and potentially lower costs.

2. Increase access to viral load testing: To improve access to maternal health, it is important to ensure that viral load testing is widely available in resource-limited health systems. This may involve expanding the availability of testing facilities, training healthcare providers on how to perform viral load testing, and ensuring an adequate supply of testing kits.

3. Improve efficiency of antiretroviral treatment programs: Viral load testing can provide baseline viral load results for antiretroviral treatment management. By incorporating viral load testing into routine care, healthcare providers can monitor the effectiveness of treatment and make necessary adjustments to ensure optimal outcomes for both mothers and infants.

4. Enhance data collection and reporting: To track progress and improve access to maternal health, it is important to collect accurate and comprehensive data on viral load testing and treatment outcomes. This data can help identify gaps in access and inform targeted interventions to improve maternal and infant health.

5. Strengthen quality assurance and external quality assessment programs: To ensure the reliability and accuracy of viral load testing, it is crucial to have robust quality assurance systems in place. This includes regular participation in external quality assessment programs and adherence to quality control measures.

Overall, the study suggests that viral load testing can be a valuable tool in improving access to maternal health. By implementing these recommendations, healthcare systems can streamline testing processes, improve treatment outcomes, and ultimately enhance the overall health and well-being of mothers and infants.
AI Innovations Description
The study mentioned in the description evaluated the performance of viral load testing as an early infant diagnosis (EID) assay for HIV in children under 18 months of age in Mozambique. The goal was to determine if viral load testing could be used as a replacement for traditional EID testing, in order to improve access to quality testing and increase the efficiency of antiretroviral treatment programs.

The study included 1021 infants born to HIV-positive mothers in 134 health facilities in Maputo City and Maputo Province. Dried blood spot specimens were collected from these infants between January and April 2018 and tested using both the Roche CAP/CTM HIV-1 Qualitative v2 assay for EID and the Roche CAP/CTM HIV-1 Quantitative v2 assay for viral load testing.

The results showed that the viral load assay had a sensitivity of 100% and a specificity of 99.9% in detecting HIV infection in infants. The positive predictive value was 99.0% and the negative predictive value was 100%. These results were comparable to the EID assay. The study concluded that viral load assays could be used as an infant diagnostic assay, potentially replacing traditional EID testing.

By using viral load assays instead of EID testing, molecular laboratory services for children could be streamlined, leading to lower costs and improved access to testing. Additionally, viral load testing provides baseline viral load results for antiretroviral treatment management.

Overall, this study suggests that implementing viral load assays as an innovation in maternal health could improve access to quality testing for infants and streamline the process of diagnosing and managing HIV in this population.
AI Innovations Methodology
The study you provided focuses on evaluating the performance of viral load testing as an early infant diagnosis (EID) assay for infants born to HIV-positive mothers in Mozambique. The goal is to determine if viral load testing can be used as a replacement for traditional EID testing, which would streamline laboratory services and lower costs.

To improve access to maternal health, here are some potential recommendations based on the study:

1. Integration of viral load testing into routine EID testing: The study found that viral load testing performed comparably to EID testing in diagnosing infants with HIV. Integrating viral load testing into routine EID testing can simplify the testing process and improve access to accurate diagnosis.

2. Strengthening laboratory systems: Resource-limited health systems face challenges in scaling up viral load and EID testing. Strengthening laboratory systems by improving infrastructure, training laboratory staff, and ensuring the availability of necessary equipment and supplies can enhance access to quality testing.

3. Streamlining specimen collection and transportation: The study collected dried blood spot specimens from heel or toe pricks. Implementing efficient and standardized procedures for specimen collection, transportation, and processing can help expedite testing and improve access to timely results.

4. Enhancing data management and reporting: Efficient data management systems can facilitate the tracking and reporting of test results, ensuring that healthcare facilities and caregivers receive the necessary information for appropriate treatment and management.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the baseline: Gather data on the current state of access to maternal health, including the availability and utilization of EID and viral load testing, as well as any existing challenges or bottlenecks.

2. Identify key indicators: Determine the key indicators that reflect access to maternal health, such as the number of women receiving EID testing, the turnaround time for test results, and the proportion of infants diagnosed with HIV.

3. Develop a simulation model: Create a simulation model that incorporates the recommended innovations and their potential impact on the identified indicators. This model should consider factors such as the population size, healthcare infrastructure, and resource availability.

4. Input data and assumptions: Input relevant data into the simulation model, such as the number of healthcare facilities, the capacity of laboratory systems, and the expected increase in testing efficiency due to the innovations. Make assumptions based on available evidence and expert knowledge.

5. Run simulations: Run multiple simulations using different scenarios, varying the parameters and assumptions to assess the potential impact of the recommendations on improving access to maternal health. Analyze the results to identify the most effective strategies.

6. Evaluate outcomes: Evaluate the outcomes of the simulations, considering the changes in key indicators and their implications for access to maternal health. Assess the feasibility, cost-effectiveness, and scalability of the recommended innovations.

7. Refine and implement recommendations: Based on the simulation results, refine the recommendations and develop an implementation plan. Consider factors such as resource allocation, stakeholder engagement, and monitoring and evaluation strategies.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of innovations on improving access to maternal health and make informed decisions on implementing these recommendations.

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