Skip to main content
PLOS One logoLink to PLOS One
. 2022 Feb 11;17(2):e0262071. doi: 10.1371/journal.pone.0262071

Performance of a novel rapid test for recent HIV infection among newly-diagnosed pregnant adolescent girls and young women in four high-HIV-prevalence districts—Malawi, 2017–2018

Elfriede A Agyemang 1,*, Andrea A Kim 1, Trudy Dobbs 1, Innocent Zungu 2, Danielle Payne 2, Andrew D Maher 3, Kathryn Curran 1, Evelyn Kim 2, Hastings Kwalira 4, Henry Limula 4, Amitabh Adhikari 1, Susie Welty 3, James Kandulu 4, Rose Nyirenda 4, Andrew F Auld 2, George W Rutherford 3, Bharat S Parekh 1,*
Editor: John S Lambert5
PMCID: PMC8836306  PMID: 35148312

Abstract

Tests for recent HIV infection (TRI) distinguish recent from long-term HIV infections using markers of antibody maturation. The limiting antigen avidity enzyme immunoassay (LAg EIA) is widely used with HIV viral load (VL) in a recent infection testing algorithm (RITA) to improve classification of recent infection status, estimate population-level HIV incidence, and monitor trends in HIV transmission. A novel rapid test for recent HIV infection (RTRI), Asanté™, can determine HIV serostatus and HIV recency within minutes on a lateral flow device through visual assessment of test strip or reader device. We conducted a field-based laboratory evaluation of the RTRI among pregnant adolescent girls and young women (AGYW) attending antenatal clinics (ANC) in Malawi.We enrolled pregnant AGYW aged <25 years testing HIV-positive for the first time at their first ANC visit from 121 ANCs in four high-HIV burden districts. Consenting participants provided blood for recency testing using LAg EIA and RTRI, which were tested in central laboratories. Specimens with LAg EIA normalized optical density values ≤2.0 were classified as probable recent infections. RTRI results were based on: (1) visual assessment: presence of a long-term line (LT) indicating non-recent infection and absence of the line indicating recent infection; or (2) a reader; specimens with LT line intensity units <3.0 were classified as probable recent infections. VL was measured for specimens classified as a probable recent infections by either assay; those with HIV-1 RNA ≥1,000 copies/mL were classified as confirmed recent infections. We evaluated the performance of the RTRI by calculating correlation between RTRI and LAg EIA results, and percent agreement and kappa between RTRI and LAg EIA RITA results.Between November 2017 to June 2018, 380 specimens were available for RTRI evaluation; 376 (98.9%) were confirmed HIV-positive on RTRI. Spearman’s rho between RTRI and LAg EIA was 0.72 indicating strong correlation. Percent agreement and kappa between RTRI- and LAg EIA-based RITAs were >90% and >0.65 respectively indicating substantial agreement between the RITAs.This was the first field evaluation of an RTRI in sub-Saharan Africa, which demonstrated good performance of the assay and feasibility of integrating RTRI into routine HIV testing services for real-time surveillance of recent HIV infection.

Introduction

In an effort to accelerate the global AIDS response to end the HIV epidemic, the Joint United Nations Programme on HIV/AIDS (UNAIDS) set an ambitious target in 2014 for 90% of people living with HIV (PLHIV) to know their HIV status, 90% of those PLHIV diagnosed to be on treatment, and 90% of those on treatment to have viral suppression (“90-90-90” target) by 2020 [1]. In addition, a fast-track goal of reducing the levels of new HIV infections among adults in 2010 by 75% to 500,000 annually by 2020 was also set [2]. With this mandate, countries demonstrated a strong will and commitment to end the epidemic by rapidly adopting and scaling up new strategies in their HIV policies and programming [35]. In 2018, an estimated 37.9 million people in the world were living with HIV, of whom 23 million people were on antiretroviral therapy (ART), an increase from 7.7 million in 2010; and 770,000 people died from AIDS-related illnesses, a decline by 33% since 2010. New HIV infections had been reduced by 40% since their peak in 1997 and by 16% since 2010 to 1.7 million in 2018 [6,7]. Despite these significant advances toward the 90-90-90 targets, there remain gaps that call for innovative approaches in order to end the epidemic. For example, the reduction in the annual number of new HIV infections is occurring at a slower pace than what is needed to reach the goal of less than 50,000 new infections per year by 2020 [8], and there is a possibility of epidemic rebound with the current rate of population growth without novel global HIV response strategies [9]. Monitoring and understanding the epidemiology and distribution of new and recent HIV infections can inform effective HIV prevention programs [10].

Antibody-based tests for recent infection (TRI), which are based on the ability to measure biomarkers detected in the early phase of HIV infection, can distinguish recent (i.e., seroconversion within the past 6–12 months) from non-recent infection and have been used to evaluate the impact of large-scale HIV prevention interventions and to estimate population-level HIV incidence for the past two decades [1113]. TRIs are designed to be performed in laboratories and results are often used in a recent infection testing algorithm (RITA) that includes supplemental information on viral load (VL), ART use, and other clinical information such as CD4 cell count, and presence of AIDS-defining illness to confirm recency status [14,15]. It is well known that recent infection assays occasionally misclassify individuals with long-term infections who are on ART or elite controller with suppressed VL (<1000 copies/mL). This misclassification occurs because antibody decays when viral load is suppressed. Therefore including viral load criteria to the RITA improves accuracy of recent infection detection [16]. RITA has been integrated into routine HIV testing services (HTS) and as part of HIV surveillance in England and other European countries [17]. In one study surveying 42 HIV specialists from 32 HIV centers on the role of RITA in clinical practice and contact tracing, 83% reported that RITA was a standard of care at their clinics and 90% endorsed the usefulness of recency results to assist with contact tracing [18]. The limiting antigen avidity enzyme immunoassay (LAg EIA) is the most commonly used TRI globally because it provides the most accurate classification of recency status compared with other TRIs [15,19], and has been used in a RITA to assess the impact of community-based HIV prevention interventions on population-level HIV incidence and to monitor trends in national HIV incidence, which have provided vital information to inform HIV program planning [20]. In addition, a LAg EIA-based RITA has been piloted in facilities providing HIV-related services to assess the feasibility and value of different recent HIV testing approaches in routine HIV programs [20].

Despite the established role that laboratory-based TRIs and RITAs have played in informing prevention efforts and monitoring public health impact through integration in surveillance and their potential role in direct HIV service delivery, they are not easy to incorporate into routine operations due to the intensive resources required to conduct the test and long turnaround time for returning results to the referring testing facility or site. Rapid tests for recent infection (RTRIs) are novel lateral flow devices that work on the same principle as rapid HIV tests and the LAg EIA and can simultaneously diagnose HIV and differentiate between recent and non-recent HIV infection [21]. The performance of one RTRI, Asanté™ HIV-1 Rapid Recency™ assay (Sedia Biosciences, Portland, OR, USA) (hereafter referred to as the Asanté assay), has been evaluated in a controlled laboratory setting in the United States using well-characterized panels of cross-sectional specimens with known HIV serological status and recent infection status based on the LAg EIA [22,23]. The Asanté assay, whose results are available in less than 30 minutes, could provide further public health benefit when incorporated into routine HTS with both a programmatic and surveillance use case, for real-time identification of recent infection to facillitate rapid public health investigation and response [24]. The Central America Region was the first region globally, and Malawi was the first country in Africa, to pilot the use of the Asanté assay in routine clinical settings for real-time identification of transmission hot spots and targeting responses to break the chain of transmission [25].

Malawi, a county in southern Africa with high HIV prevalence, has made significant progress towards achieving the UNAIDS 90-90-90 targets. The 2015–2016 Malawi Population-based HIV Impact Assessment (MPHIA) showed that 72.7% of adult PLHIV aged 15–64 were aware of their diagnosis, 89.6% of those with known HIV diagnosis were on ART, and 91.2% of those on ART were virally suppressed [26]. The annual incidence of HIV infection among adults was 0.37 per 100 person-years in 2015 and 2016, which corresponded to approximately 30,000 new HIV infections among adults per year in Malawi [26]. MPHIA results highlighted the continuing challenges in HIV diagnosis and ongoing HIV transmissions, and the critical need for innovative approaches to close the gap in HIV diagnosis and reduce transmission.

Successful implementation of RTRI in routine HTS will require strong laboratory systems to support quality control and training. However, there are limited data on the performance of RTRI when conducted by laboratory technicians in sub-Saharan Africa where HIV burden is high and laboratory infrastructure is weak. We sought to evaluate the performance of the Asanté assay in two Malawian central laboratories among adolescent girls and young women (AGYW) seeking public-sector antenatal care (ANC) services in Malawi. The study focused on this population because they were likely to be at high risk for HIV incidence compared to the general population and would reliably seek care in the peripartum period. This study was the first step to better understand performance of the test in the field and assess the training needs as countries plan to roll out recency test at the testing sites for real-time surveillance of new infections.

Methods

Study design

The Malawi Recency Study was a cross-sectional study that was implemented in public health facilities in four high-HIV burden districts in Malawi, namely, Lilongwe, Blantyre, Machinga, and Zomba (HIV prevalence ranging from 11.5% to 17.7%) from November 2017 through June 2018 [26]. The overall aim of the study was to establish a surveillance system to detect and characterize recent HIV infections among AGYW receiving ANC in the four districts. Pregnant AGYW aged 15 to 24 years who were newly diagnosed with HIV at their first ANC visit for that pregnancy were consecutively enrolled into the survey after providing informed consent. All informed consent was conducted in either the local language (Chichewa) or English. AGYW were diagnosed with HIV by the Alere Determine™ HIV-1/2 (Abbott, Abbott Park, IL, USA) and Uni-Gold™ HIV (Trinity Biotech, Wicklow, Ireland) rapid tests using Malawi’s routine national HIV testing algorithm [27]. Venous blood specimens were collected from consenting HIV-positive AGYW and transported daily to a satellite laboratory in each district, namely Machinga District Hospital, Queen Elizabeth Central Hospital, Kamuzu Central Hospital, and Zomba Central Hospital, for centrifugation into plasma. Plasma samples were aliquoted and stored in -20 degrees Celsius until there were transported once weekly to two central laboratories for testing for recent infection and VL [28].

Target sample size

The number of eligible AGYW expected to participate in the overall study in the four districts was based on routine ANC and prevention of mother-to-child transmission of HIV (PMTCT) program data collected from April to June 2016 (3 months) and adjusted to the six-month study period. We expected a similar scale of HIV positivity among AGYW, with about 400 HIV-positives, during implementation of the Malawi Recency Study.

Laboratory methods

Testing for recent HIV infection was conducted in the Kamuzu Central Hospital and the Zomba Central Hospital laboratories located in Lilongwe and Zomba districts, respectively. Master trainers from the International Laboratory Branch, Division of Global HIV and TB, Center for Global Health, of the United States Centers for Disease Control and Prevention (CDC) trained laboratory technicians on use of the RTRI and LAg EIA. Plasma was prepared from all viable venous specimens and tested with the LAg EIA (HIV-1 LAg-Avidity EIA, SEDIA Biosciences Corporation, Portland, OR, USA), using previously described methods [29]. Specimens with normalized optical density (ODn) value ≤2.0 were classified as testing recent on the LAg EIA, otherwise they were classified as testing non-recent. The LAg EIA ODn cutoff of 2.0 corresponded to a mean duration of recent infection of 177–183 days [23,30]. The LAg-Avidity EIA runs include multiple controls and calibrator on each plate to validate the assay. In addition, all the laboratory data was reviewed by International Laboratory Branch, CDC-Atlanta.

The same plasma specimens that were tested with the LAg EIA were tested with the Asanté assay, which is based on the same principle as the LAg EIA [21]. QA measures included hands-on training of all testers and periodic testing of QC specimens. The Asanté assay is a lateral flow device with three lines, a control (C) line, a diagnostic verification (V) line and a long-term (LT) line, to distinguish recent from long-term infection [22] and can be read qualitatively by visual inspection of the test strip or quantitatively using a reader and measured in line intensity units [23]. The reader is a portable, hand-held, battery-powered device that can provide quantitative results in 20 minutes [31]. Presence of only the C line indicated the client was Asanté-assay seronegative, while presence of C and V lines indicated probable recent infection (mean duration~ 6 months). The presence of all three lines indicated diagnosis of long-term HIV infection (≥6 months). On quantitative read, V line intensity units ≥2.8 indicated that specimen was Asanté assay HIV-positive; otherwise they were Asanté assay HIV-negative. If the LT line had <3.0 line intensity units, then the specimen was a probable recent infection by the Asanté assay; otherwise they were Asanté assay long-term. If the C line was absent on visual interpretation of the Asanté assay or the reader had line intensity units <2.8 for C line, the test was considered invalid, and the specimen was excluded [23]. For the purposes of this analysis, specimens that were recent by either assay were classified as probable recent infections. HIV VL was measured for all specimens with probable recent infection by quantifying HIV-1 RNA using the, Roche Cobas Ampliprep/Cobas Taqman (Roche Diagnostics USA, Indianapolis, IN, USA).

Case definition for a recent and long-term HIV infection

We defined a case of recent HIV infection as a person who did not self-report current or previous ART, from whom a specimen was classified as a probable recent infection, and who was found to not be virally suppressed (defined as HIV-1 RNA ≥1000 copies/ml). A long-term HIV infection was defined as a person from whom specimen collected 1) tested long-term on either assay or 2) classified as a probable recent infection but was subsequently found to be virally suppressed (HIV-1 RNA <1000 copies/ml). VL is included in these case definitions to improve the accuracy of recent infection detection. A case with recent HIV infection implied that the infection was acquired within approximately 12 months of blood specimen collection, whereas a case with long-term HIV infection implied the infection was acquired 12 months or longer prior to blood specimen collection.

Ethical review

The study protocol and all data collection tools were approved by the National Health Sciences Research Committee of Malawi, and the Institutional Review Boards at the CDC and the Committee for Human Research at the University of California, San Francisco.

Data analysis

First, we calculated the sensitivity of the Asanté assay, by both visual inspection and reader, in verifying HIV seropositivity among specimens that had been determined to be HIV-positive using the Malawi rapid HIV testing algorithm. Second, we evaluated the performance of the Asanté assay reader for recent HIV infection detection by comparing it with the LAg EIA. We determined the overall correlation between the LAg EIA ODn and the Asanté assay reader results by calculating the Spearman’s rho overall and stratified by laboratory (hereafter identified as laboratory A and laboratory B). Specimens collected and initially tested in laboratory A were retested in laboratory B; however, two participants’ specimens did not have sufficient volume remaining and were therefore excluded from retesting. Third, we assessed the agreement between RITA using LAg EIA and RITA using Asanté assay (visual inspection and reader) in confirming recent HIV infections. We categorized specimens into confirmed recent and long-term HIV infection based on the RITA and calculated the agreement between the LAg EIA-based RITA and Asanté-based RITA. We computed the percent agreement and kappa statistics, and their associated 95% confidence intervals (95% CI). Participants without sufficient amount of specimen to complete the entire RITA were excluded from the final analysis. All statistical analyses were done using Stata 14.1 (Stata Corporation, College Station, TX, USA). Because there is no gold standard assay for recent infection, we did not calculate sensitivity, specificity, and positive and negative predictive values.

Results

Evaluation of RTRI HIV diagnosis verification among confirmed HIV-seropositive specimens using the national HIV testing algorithm

Overall, 380 plasma specimens from persons diagnosed with HIV using the routine Malawi testing algorithm were tested with Asanté assay. Of those 380 specimens, 377 were HIV positive (had both the C and V lines present) on visual interpretation and 376 specimens were HIV positive using the reader (had a V line intensity units of ≥2.8). Compared to the national HIV testing algorithm, the Asanté assay has a sensitivity of 99.2% (377/380) using visual interpretation and 98.9% (376/380) using the reader.

Performance of RTRI versus LAg EIA for recent HIV infection detection

Specimens from 376 participants were tested with both the LAg EIA and the Asanté assay reader originally in two separate laboratories. The overall Spearman’s rho between the two assays was 0.657 (N = 376), suggesting a moderate correlation (Fig 1). In a subset analysis stratified by laboratories A and B, the Spearman’s rho between the LAg EIA ODn and the Asanté assay long-term line intensity units for specimens tested in laboratory A was 0.560 (n = 133), and the Spearman’s rho for specimens tested in laboratory B was 0.747 (n = 243) (Fig 2), suggesting moderate and strong correlations, respectively.

Fig 1. Correlation between the recency component of Asanté (reader) and LAg EIA (using original data from the testing in the two separate laboratories).

Fig 1

Fig 2. Correlation between the recency component of Asanté (reader) and LAg EIA (original data stratified by laboratory).

Fig 2

Specimens from 131 participants originally tested for recent HIV infection by both the LAg EIA and the Asanté assay in laboratory A were retested in laboratory B. Fig 3 shows the scatterplot comparing LAg EIA ODn values and the LT line intensity units of the Asanté assay reader for overall 374 specimens (includes 131 retested samples) tested in laboratory B. The Spearman’s rho between the two variables was 0.715, suggesting a strong correlation between the two assays [32,33]. The Spearman’s rho between the two variables for the retested samples alone improved to 0.69 (n = 131), suggesting a moderate correlation [32,33].

Fig 3. Correlation between the recency component of Asanté (reader) and LAg EIA (combined data including samples retested in laboratory B).

Fig 3

Performance of RITA using Asanté assay versus RITA using LAg EIA

All enrolled participants self-reported new HIV diagnosis and presumably had no prior ART use. As outlined in Fig 4, LAg EIA was applied to 380 specimens, of which 75 (19.7%) tested recent and were classified as probable recent infection. Eighteen (24.0%) of these specimens had suppressed VL and were reclassified as long-term infections; 4 specimens that tested recent on LAg EIA did not have VL test completed. Using the Asanté assay on 376 specimens, 66 (17.6%) tested recent on the Asanté based on quantitative results from the reader and were classified as probable recent infection. Of these 18 (27.3%) had suppressed VL and were reclassified as long-term infections; 3 specimens that tested probable recent did not have VL test completed. Based on visual interpretation of the Asanté assay on 377 specimens, 63 (16.7%) tested recent on the Asanté and classified as probable recent infection; of these 19 (30.1%) had suppressed VL and were reclassified as long-term infections, 3 specimens that tested probable recent did not have VL test completed.

Fig 4. RITA using LAg EIA versus RITA using Asanté assay.

Fig 4

There were 372 specimens that were used to evaluate RITA performance based on quantitative results of the Asanté assay reader and the LAg EIA (Table 1). Of the 45 specimens that classified as confirmed recent infection on the Asanté-based RITA (based on quantitative results from the reader), 37 (82.2%) specimens were similarly classified as confirmed recent infection using LAg EIA-based RITA. Three hundred eleven (95.4%) of the 327 specimens classified as long-term infections on the Asanté-based RITA (based on the reader’s quantitative results) were similarly classified as long-term infections on the LAg EIA-based RITA. The percent agreement was 93.6% (95% CI 90.6%-95.9%) with a Kappa statistic of 0.718 (95% CI 0.226–0.807) indicating substantial agreement between the Asanté-based RITA based on quantitative results from the reader and LAg EIA-based RITA [34].

Table 1. Concordance of recent infection testing algorithm results using the LAg EIA and Asanté reader.

Recent Infection Testing Algorithm (RITA)using the Asanté reader
RITA using LAg EIA Recent Long-term Total
Recent 37 16 53
Long-term 8 311 319
Total 45 327 372
Percent agreementKappa
93.6% (95% CI 90.6%-95.9%)
0.718 (95% CI 0.226–0.807)

Three hundred seventy-three specimens were used to evaluate RITA performance using the Asanté visual assessment and the LAg EIA (Table 2). Of the 41 specimens that had confirmed recent infection on the Asanté-based RITA (based on visual assessment), 33 (80.5%) had confirmed recent infection on the LAg EIA-based RITA. Overall, 312 (94.0%) of the 332 specimens that had confirmed long-term infection on the Asanté-based RITA (based on visual assessment) had confirmed long-term infection on the LAg EIA-based RITA. This comparison yielded a percent agreement of 92.6% (95% CI 89.4%-95.0%) and a Kappa statistic of 0.667 (0.16–0.763), indicating substantial agreement between the visually assessed Asanté assay RITA and Lag EIA RITA [34].

Table 2. Concordance of recent infection testing algorithm results using the LAg EIA and Asanté visual inspection.

Recent Infection Testing Algorithm (RITA) using Asanté visual inspection
RITA using LAg EIA Recent Long-term Total
Recent 33 20 53
Long-term 8 312 320
Total 41 332 373
Percent agreement
Kappa
92.6% (95% CI 89.4%-95.0%)
0.667 (0.160–0.763)

Discussion

Our study is the first field laboratory evaluation of a RTRI in sub-Saharan Africa and showed the feasibility of using an RTRI in the laboratory among specimens collected from routine clinical services to detect recent HIV infection among AGYW newly diagnosed with HIV. The Asanté assay had high test sensitivity for detecting HIV antibodies (positive V line) among participants with confirmed HIV infection using the Malawi rapid HIV testing algorithm when conducted in a well-controlled laboratory setting. The Asanté assay achieved a test sensitivity similar to that observed by Parekh et al. in an evaluation of the Asanté assay compared against EIA plus Western blot testing on a large, well-characterized, world-wide specimen panel, conducted in a United States-based laboratory [23]. The Asanté assay also meets the sensitivity threshold for World Health Organization (WHO) prequalified HIV serology diagnostics [23,3537]. Using the Asanté assay reader, performance for positive verification was slightly lower because one specimen had a V line intensity unit of 2.64 and fell just below reader threshold for positive verification, though the specimen was verified as HIV-positive on visual interpretation of the test strip. Comparatively, the DetermineTM HIV1/2 Ag/Ab Combo Rapid Test had been shown in prior studies to have a sensitivity of 94% among HIV-positive pregnant women [36] and 99% among HIV-1 United States seroconverters and HIV-2-infected individuals from Côte d’Ivoire [37]. Collectively, these results highlight the potential for the inclusion of the Asanté assay as part of the national HIV testing algorithms.

The Asanté assay was also highly correlated with the LAg EIA in the detection of recent HIV infection among clinical specimens from pregnant AGYW when conducted in a central laboratory in Malawi. Initially, the 376 specimens were tested in two separate central laboratories where the specimens were received. The overall Spearman’s rho showed a lower correlation than was observed in the CDC in-house evaluation of the assay on a well-characterized panel of cross-sectional specimens [23]. In sub-analyses separated by laboratory, we observed a lower correlation in laboratory A than in laboratory B. These differential results between the two laboratories suggested an issue with the testing process as opposed to the test performance of the Asanté assay. To confirm this hypothesis, we retested the samples originally received in laboratory A in laboratory B and observed improved correlation between the two assays. These results suggest challenges in quality assurance of testing quality in laboratory A and highlight the importance of high-quality training and re-training of laboratory technicians on how to conduct the Asanté assay and laboratory quality control (QC) methods, as well as systematic and frequent laboratory data monitoring as part of routine monitoring and evaluation programs.

When the Asanté assay was incorporated into a RITA and compared against the routinely used LAg EIA RITA, there was substantial agreement between the two RITAs, whether by reader or visual assessment of the Asanté assay results. Since there is often a turnaround time of a few weeks in receiving VL test results to confirm recency status, the Asanté assay results alone may be useful to rapidly inform follow up of probable recent infection and prompt investigation into suspected transmission networks and interventions to rapidly treat and prevent further transmission to contacts.

The results of this evaluation directly led to the establishment of the United States President’s Emergency Plan for AIDS Relief (PEPFAR)’s surveillance and public health response initiative through “Tracking with recency assays to control the epidemic” (TRACE), which is being implemented in over 20 countries worldwide with plans of expanding to additional countries [24]. Some countries have implemented the TRACE initiative at HTS sites with testing conducted by either HTS counselors or trained phlebotomists, while other countries have implemented the laboratory-based model where RTRI is performed at a laboratory hub. Testing at HTS sites by counselors or phlebotomists allows for rapid turn-around of results for action; however, this approach makes incorporating other tests that have longer turnaround times, such as VL, to confirm recent infection a challenge, and efforts should be made to include other routinely-collected information in patient charts, such as previous HIV diagnosis or ART use, prior to acting on probable recent infection results. In addition, staff at the HTS sites would require improved, more frequent training and site-level monitoring to succeed at conducting RTRI in even less controlled environments as shown by results of this pilot [38]. Testing at a laboratory hub has the advantage of high-quality testing but would require strong sample referral networks (given the Asante assay must be done using whole blood or plasma), high-quality training and QC methods to ensure accurate results. Moreover, results would not be readily available for immediate programmatic intervention. Given the importance of high testing quality and QC methods on RTRI performance, laboratory hub testing model where testing is conducted by trained laboratory staff could be considered in settings with large numbers of HTS sites where ensuring high-quality testing at all sites might be challenging. Early data from TRACE scale-up in various countries in sub-Saharan Africa should provide evidence on best testing models for ensuring high-quality data from routine recency testing.

Our results are comparable to the results from the evaluation of the assay on a well-characterized specimen panel from around the world [23]. A limitation is that the HIV verification component of the Asanté assay was conducted in a study sample that was comprised of individuals who were infected with HIV; as such, we were unable to evaluate the specificity of the assay in identifying HIV-uninfected individuals. Nevertheless, the high sensitivity observed was similar to assays used in current rapid HIV testing algorithms in PEPFAR-supported countries and meets the WHO prequalification threshold for HIV diagnostic tests [3537]. Thus, the assay has the potential to provide both HIV diagnosis and determination of the recency of HIV infection, if incorporated into national testing algorithms.

Our study has demonstrated the feasibility of integrating RTRI into routine HIV services using a central laboratory testing model and established a framework for establishing recent HIV infection surveillance in Malawi. We have also shown the real-world performance of the Asanté assay and its utility in the rapid detection of recent HIV infections, which may help identify areas with high HIV transmissions to inform effective prevention interventions to achieve HIV epidemic control.

Acknowledgments

The authors are grateful to the Machinga District Hospital Laboratory Manager Dorothy Moyo and Queen Elizabeth Central Hospital Laboratory Manager Joseph Bitilinyu-Bangoh for their support in processing participants’ specimens for recency testing, and to the Malawi Recency Study participants and staff.

Data Availability

All relevant data are within the manuscript. All study data remain the property of Malawi Ministry of Health and can be requested by contacting the HTS Team at the Malawi Department of HIV and AIDS (mailto:hts@hivmw.org).

Funding Statement

This study was supported by the President’s Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention (CDC) under the terms of cooperative agreement U2GGH000977. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the funding agencies.

References

  • 1.UNAIDS. 90-90-90 An ambitious treatment target to help end the AIDS epidemic. Joint United Nations Programme on HIV/AIDS (UNAIDS). 2014;UNAIDS / JC2684 (English original, October 2014). doi: 10.1152/ajplegacy.1975.229.3.570 [DOI] [PubMed] [Google Scholar]
  • 2.UNAIDS. Fast-Track: Ending the AIDS epidemic by 2030. 2014. [Google Scholar]
  • 3.Kenya HIV Prevention Revolution Road Map: Count Down to 2030. Ministry of Health, Nairobi, Kenya; June 2014. 2014.
  • 4.Thailand Ending AIDS. Reporting Period: Fiscal Year of 2014. Thailand AIDS Response Progress Report. 2015. [Google Scholar]
  • 5.National AIDS Commission, Malawi. 2015–2020 National Strategic Plan for HIV and AIDS. 2014.
  • 6.UNAIDS. Global HIV & AIDS statistics—2019 fact sheet.
  • 7.UNAIDS. 2018 Global HIV Statistics. Fact Sheet—Global AIDS Update. 2019. [Google Scholar]
  • 8.UNAIDS. Data 2018 reference. 2018. [Google Scholar]
  • 9.McGillen JB, Anderson SJ, Dybul MR, Hallett TB. Optimum resource allocation to reduce HIV incidence across sub-Saharan Africa: a mathematical modelling study. Lancet HIV. 2016;3(9):e441–e8. doi: 10.1016/S2352-3018(16)30051-0 [DOI] [PubMed] [Google Scholar]
  • 10.Wilson D, Halperin DT. "Know your epidemic, know your response": a useful approach, if we get it right. Lancet. 2008;372(9637):423–6. doi: 10.1016/S0140-6736(08)60883-1 [DOI] [PubMed] [Google Scholar]
  • 11.Mermin J, Musinguzi J, Opio A, Kirungi W, Ekwaru JP, Hladik W, et al. Risk factors for recent HIV infection in Uganda. Jama. 2008;300(5):540–9. doi: 10.1001/jama.300.5.540 [DOI] [PubMed] [Google Scholar]
  • 12.Brookmeyer R, Quinn TC. Estimation of current human immunodeficiency virus incidence rates from a cross-sectional survey using early diagnostic tests. American journal of epidemiology. 1995;141(2):166–72. doi: 10.1093/oxfordjournals.aje.a117404 [DOI] [PubMed] [Google Scholar]
  • 13.Janssen RS, Satten GA, Stramer SL, Rawal BD, O’Brien TR, Weiblen BJ, et al. New testing strategy to detect early HIV-1 infection for use in incidence estimates and for clinical and prevention purposes. Jama. 1998;280(1):42–8. doi: 10.1001/jama.280.1.42 [DOI] [PubMed] [Google Scholar]
  • 14.When and how to use assays for recent infection to estimate HIV incidence at a population level. UNAIDS/WHO Working Group on Global HIV/AIDS and STI Surveillance, 2011. [Google Scholar]
  • 15.Kassanjee R, Pilcher CD, Busch MP, Murphy G, Facente SN, Keating SM, et al. Viral load criteria and threshold optimization to improve HIV incidence assay characteristics. Aids. 2016;30(15):2361–71. doi: 10.1097/QAD.0000000000001209 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Duong YT, Dobbs T, Mavengere Y, Manjengwa J, Rottinghaus E, Saito S, et al. Field Validation of Limiting-Antigen Avidity Enzyme Immunoassay to Estimate HIV-1 Incidence in Cross-Sectional Survey in Swaziland. AIDS Res Hum Retroviruses. 2019;35(10):896–905. doi: 10.1089/AID.2018.0284 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Aghaizu A, Murphy G, Tosswill J, DeAngelis D, Charlett A, Gill ON, et al. Recent infection testing algorithm (RITA) applied to new HIV diagnoses in England, Wales and Northern Ireland, 2009 to 2011. Euro surveillance: bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin. 2014;19(2). doi: 10.2807/1560-7917.es2014.19.2.20673 [DOI] [PubMed] [Google Scholar]
  • 18.Garrett N, Lattimore S, Gilbart V, Aghaizu A, Mensah G, Tosswill J, et al. The Recent Infection Testing Algorithm (RITA) in clinical practice: a survey of HIV clinicians in England and Northern Ireland. HIV Med. 2012;13(7):444–7. doi: 10.1111/j.1468-1293.2012.00990.x [DOI] [PubMed] [Google Scholar]
  • 19.Kassanjee R, Pilcher CD, Keating SM, Facente SN, McKinney E, Price MA, et al. Independent assessment of candidate HIV incidence assays on specimens in the CEPHIA repository. AIDS. 2014;28(16):2439–49. doi: 10.1097/QAD.0000000000000429 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Measurement and Surveillance of HIV Epidemics (MeSH) Consortium. The feasibility and utility of HIV recent infection testing in a range of routine service-provision contexts. July 2019. [Google Scholar]
  • 21.Granade TC, Nguyen S, Kuehl DS, Parekh BS. Development of a novel rapid HIV test for simultaneous detection of recent or long-term HIV type 1 infection using a single testing device. AIDS Res Hum Retroviruses. 2013;29(1):61–7. doi: 10.1089/aid.2012.0121 [DOI] [PubMed] [Google Scholar]
  • 22.Smith PR, Placentini S.C., Jackson M.N., Mink R.W. Characterization of a rapid HIV-1 incidence assay based on a CDC-developed multisubtype antigen in a commercial HIV lateral flow assay format. 2014 AIDS Conference 2014 AIDS Conference, Durban, South Africa; ABSTRACT WEPE105. 2014. [Google Scholar]
  • 23.Parekh B, Detorio M., Shanmugam V., Yufenyuy E., Dobbs T., Kim A. Performance evaluation of Asante™ Rapid Recency Assay for HIV diagnosis and detection of recent infection: potential for surveillance and prevention. IAS 2017 9th IAS Conference on HIV Science Paris, France; Abstract TUPEC0849. 2017. [Google Scholar]
  • 24.Kim AA, Behel S, Northbrook S, Parekh BS. Tracking with recency assays to control the epidemic: real-time HIV surveillance and public health response. Aids. 2019;33(9):1527–9. doi: 10.1097/QAD.0000000000002239 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.PEPFAR Solutions Platform. Surveillance of Recent HIV Infections: Using Point-of-Care Recency Tests to Rapidly Detect and Respond to Recent Infections.
  • 26.Ministry of Health Malawi. Malawi Population-based HIV Impact Assessment (MPHIA) 2015–16: First Report. Lilongwe, Ministry of Health. November 2017. [Google Scholar]
  • 27.©2016 Ministry of Health, Malawi. Malawi HIV Testing Services Guidelines.
  • 28.Ministry of Health Malawi. Estimating HIV Incidence and Detecting Recent Infection among Pregnant Adolescent Girls and Young Women in Malawi, 2017–18: Final Report. Lilongwe, Ministry of Health. 2019. [unpublished]. [Google Scholar]
  • 29.Wei X, Liu X, Dobbs T, Kuehl D, Nkengasong JN, Hu DJ, et al. Development of Two Avidity Based Assays to Detect Recent HIV-1 Seroconversion Using a Multi-subtype gp41 Recombinant Protein. AIDS Research & Human Retroviruses. 2010;26(1):61–71. [DOI] [PubMed] [Google Scholar]
  • 30.Duong YT, Kassanjee R, Welte A, Morgan M, De A, Dobbs T, et al. Recalibration of the limiting antigen avidity EIA to determine mean duration of recent infection in divergent HIV-1 subtypes. PloS one. 2015;10(2):e0114947. doi: 10.1371/journal.pone.0114947 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sedia Biosciences Corporation. Asanté™ HIV-1 Rapid Recency® Assay for Identification of Recent HIV-1 Infections.
  • 32.Mukaka MM. Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Med J. 2012;24(3):69–71. [PMC free article] [PubMed] [Google Scholar]
  • 33.Schober P, Boer C, Schwarte LA. Correlation Coefficients: Appropriate Use and Interpretation. Anesth Analg. 2018;126(5):1763–8. doi: 10.1213/ANE.0000000000002864 [DOI] [PubMed] [Google Scholar]
  • 34.Cohen J. A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement. 1960;20(1):37–46. [Google Scholar]
  • 35.Technical Specifications Series for submission to WHO Prequalification–Diagnostic Assessment: Human immunodeficiency virus (HIV) rapid diagnostic tests for professional use and/or self-testing. Geneva: World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. [Google Scholar]
  • 36.Chetty V, Moodley D, Chuturgoon A. Evaluation of a 4th generation rapid HIV test for earlier and reliable detection of HIV infection in pregnancy. Journal of clinical virology: the official publication of the Pan American Society for Clinical Virology. 2012;54(2):180–4. doi: 10.1016/j.jcv.2012.02.021 [DOI] [PubMed] [Google Scholar]
  • 37.Masciotra S, Luo W, Youngpairoj AS, Kennedy MS, Wells S, Ambrose K, et al. Performance of the Alere Determine HIV-1/2 Ag/Ab Combo Rapid Test with specimens from HIV-1 seroconverters from the US and HIV-2 infected individuals from Ivory Coast. Journal of clinical virology: the official publication of the Pan American Society for Clinical Virology. 2013;58 Suppl 1:e54–8. doi: 10.1016/j.jcv.2013.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Maher AK AA; Parekh BS; et al. Assessment of the Point-of-Care Asanté™ HIV-1 Rapid Recency™ performed by nurses in antenatal clinics in Malawi, 2017. –18 [in preparation]. [Google Scholar]

Decision Letter 0

John S Lambert

8 Jul 2021

PONE-D-20-31833

Performance of a novel rapid test for recent HIV infection among newly-diagnosed pregnant adolescent girls and young women in four high-HIV-prevalence districts — Malawi, 2017–2018

PLOS ONE

Dear Dr. Agyemang,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Aug 22 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

John S Lambert

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. We note that the grant information you provided in the ‘Funding Information’ and ‘Financial Disclosure’ sections do not match.

When you resubmit, please ensure that you provide the correct grant numbers for the awards you received for your study in the ‘Funding Information’ section.

3. Thank you for stating the following in the Competing Interests section:

"I have read the journal's policy and the authors of this manuscript have the following competing interests: As an inventor of LAg EIA and rapid test for recent infection, BSP receives a portion of royalties from the sale of these tests as per policy of the United States government. "

Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: "This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests).  If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

Please include your updated Competing Interests statement in your cover letter; we will change the online submission form on your behalf.

Please know it is PLOS ONE policy for corresponding authors to declare, on behalf of all authors, all potential competing interests for the purposes of transparency. PLOS defines a competing interest as anything that interferes with, or could reasonably be perceived as interfering with, the full and objective presentation, peer review, editorial decision-making, or publication of research or non-research articles submitted to one of the journals. Competing interests can be financial or non-financial, professional, or personal. Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests

4. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: N/A

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Performance of a novel rapid test for recent HIV infection among newly-diagnosed pregnant adolescent girls and young women in four high-HIV-prevalence districts — Malawi, 2017–2018.

In this study, Elfriede et al. conducted a field-based laboratory evaluation of

a test for recent HIV infection (RTRI) among pregnant adolescent girls and young women (AGYW). This study evaluates the performance of this test in the field and establish a surveillance system to detect and characterize recent HIV infections among AGYW. The study is of great importance as it helps to estimate HIV incidence and monitor transmission.

The paper is well written and easy to follow with very few typos.

Nevertheless, we have 4 minor comments:

1. Usually test performance includes sensitivity and specificity of the new testing tool as compared to a gold standard: Authors only evaluated the specificity but not the sensitivity, should they not only mention specificity and not performance in the manuscript?

2. In the methods section, authors should indicate the statistical formula used to estimate the sample size in this study.

3. It is not clear to the readers why participant tested with RTRI who had LT line intensity units <3.0 and suppressed HIV-1 RNA viral load (<1000 copies/ml) were classified as non-recent infection while those who did not virally suppressed the virus (HIV-1 RNA viral load ≥1000 copies/ml) were classified as recent infection.

4. It would be desirable that the authors also make an evaluation on the estimated costs of this new test for recent HIV infection, the performance must be accompanied by the accessibility for a wide use. Low cost tests are the most needed for resource limited settings.

Reviewer #2: For discordant results laboratory A -B the impementation of these test could be compormised by the non reproducibility of the results test , it would be mandatory to have strict quality control in the labs.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2022 Feb 11;17(2):e0262071. doi: 10.1371/journal.pone.0262071.r002

Author response to Decision Letter 0


6 Aug 2021

We would like to thank the reviewers and editors for their review of our manuscript, “Performance of a novel rapid test for recent HIV infection among newly-diagnosed pregnant adolescent girls and young women in four high-HIV-prevalence districts — Malawi, 2017–2018”, for consideration as an original contribution to PLOS ONE.

In this revised manuscript, we have incorporated feedback received from the reviewers as appropriate. We have also included below responses to each point raised by journal editors and our reviewers.

Journal Requirements

Comment 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

Response: We have reviewed the manuscript and reformatted to meet PLOS ONE’s style requirements

Comment 2. We note that the grant information you provided in the ‘Funding Information’ and ‘Financial Disclosure’ sections do not match. When you resubmit, please ensure that you provide the correct grant numbers for the awards you received for your study in the ‘Funding Information’ section.

Response: We have ensured the grant information in the “Funding Information” and “Financial Disclosure” sections align. “This study was supported by the President’s Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention (CDC) under the terms of cooperative agreement U2GGH000977”.

Comment 3. Thank you for stating the following in the Competing Interests section:

"I have read the journal's policy and the authors of this manuscript have the following competing interests: As an inventor of LAg EIA and rapid test for recent infection, BSP receives a portion of royalties from the sale of these tests as per policy of the United States government”.

Response: We have included that “This does not alter our adherence to PLOS ONE policies on sharing data and materials”.

Competing Interests: As an inventor of LAg EIA and rapid test for recent infection, BSP receives a portion of royalties from the sale of these tests as per policy of the United States government. This does not alter our adherence to PLOS ONE policies on sharing data and materials. All study data remain the property of Malawi Ministry of Health and can be requested by contacting Danielle Payne (ywb9@cdc.gov).

Reviewer #1

Comment 1. Usually test performance includes sensitivity and specificity of the new testing tool as compared to a gold standard: Authors only evaluated the specificity but not the sensitivity, should they not only mention specificity and not performance in the manuscript?

Response: Recent or long-term (LT) classification with this assay is based on maturation of antibody avidity which varies from person to person. Therefore, sensitivity is not a common parameter used in the performance analysis of this assay, but specificity remains important. Here, we compared the rapid test for recent infection (RTRI) with another widely used validated laboratory-based LAg-Avidity EIA in this field evaluation.

Comment 2. In the methods section, authors should indicate the statistical formula used to estimate the sample size in this study.

Response: The number of eligible AGYW expected to participate in the overall study in the four districts was based on routine ANC and prevention of mother-to-child transmission of HIV (PMTCT) program data collected from April to June 2016 (3 months) and adjusted to the six-month study period. We assumed a similar scale of HIV positivity, with about 400 HIV-positive cases, among AGYW during implementation of the Malawi Recency Study. We have included this in the methods section of the manuscript.

Comment 3. It is not clear to the readers why participant tested with RTRI who had LT line intensity units <3.0 and suppressed HIV-1 RNA viral load (<1000 copies/ml) were classified as non-recent infection while those who did not virally suppressed the virus (HIV-1 RNA viral load ≥1000 copies/ml) were classified as recent infection.

Response: It is well known that recent infection assays occasionally misclassify individuals with long-term infections who are on ART or elite controller with suppressed VL (<1000 copies/mL). This occurs because antibody decays when viral load is suppressed. Adding the viral load criteria to the recency results improves accuracy of recent infection detection(1). We have included this explanation and reference citation in the introduction where we describe recent infection testing algorithm, and briefly in methods where we provide case definitions for recent and LT HIV infections.

Comment 4. It would be desirable that the authors also make an evaluation on the estimated costs of this new test for recent HIV infection, the performance must be accompanied by the accessibility for a wide use. Low cost tests are the most needed for resource limited settings.

Response: The technology is transferred to a commercial partner and the assay is available as a kit. Malawi was one of the first countries to pilot the assay but now it is implemented in more than 20 countries. Currently the cost of the test is about $5 per test but is likely to go down over time and more countries come on board to implement recent infection surveillance.

Reviewer #2

Comment 1: For discordant results laboratory A -B the implementation of these test could be compromised by the non-reproducibility of the test results, it would be mandatory to have strict quality control in the labs.

Response: We agree with this observation. We have now strengthened our training and monitoring program and implement multiple quality assurance elements in the rollout of this assay in several countries supported by the U.S. President’s Emergency Plan for AIDS Relief.

We believe we have addressed all outstanding comments from our editors and reviewers. Please don’t hesitate to contact us for any additional clarifications. We believe our findings are timely as several countries are implementing RTRI in their HIV programs and would appeal to the readership of the PLOS ONE Journal.

Thank you for your consideration.

Sincerely,

Elfriede A. Agyemang, MD, MPH

Division of Global HIV and Tuberculosis

U.S. Centers for Disease Control and Prevention

Corresponding Author:

Bharat S. Parekh, PhD (bsp1@cdc.gov)

Elfriede A. Agyemang, MD, MPH (eagyemang@cdc.gov)

Division of Global HIV and Tuberculosis

U.S. Centers for Disease Control and Prevention

Reference:

1. Duong YT, Dobbs T, Mavengere Y, Manjengwa J, Rottinghaus E, Saito S, et al. Field Validation of Limiting-Antigen Avidity Enzyme Immunoassay to Estimate HIV-1 Incidence in Cross-Sectional Survey in Swaziland. AIDS Res Hum Retroviruses. 2019;35(10):896-905.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

John S Lambert

19 Dec 2021

Performance of a novel rapid test for recent HIV infection among newly-diagnosed pregnant adolescent girls and young women in four high-HIV-prevalence districts — Malawi, 2017–2018

PONE-D-20-31833R1

Dear Dr. Agyemang,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

John S Lambert

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

John S Lambert

4 Feb 2022

PONE-D-20-31833R1

Performance of a novel rapid test for recent HIV infection among newly-diagnosed pregnant adolescent girls and young women in four high-HIV-prevalence districts — Malawi, 2017–2018

Dear Dr. Agyemang:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. John S Lambert

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript. All study data remain the property of Malawi Ministry of Health and can be requested by contacting the HTS Team at the Malawi Department of HIV and AIDS (mailto:hts@hivmw.org).


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES