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Research Letter

Point-of-care HIV RNA testing and immediate antiretroviral therapy initiation in young adults seeking out-patient care in Kenya

Sanders, Eduard J.a,b; Chirro, Oscara; Oduor, Clifforda; Mangi, Jumac; Wahome, Elizabetha; Price, Matthew A.d; Gelderblom, Hubert C.a; van der Elst, Elisabeth M.a; Graham, Susan M.a,e

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doi: 10.1097/QAD.0000000000002110
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Abstract

Many adults with acute HIV-1 infection (AHI) seek care for symptoms, whether at emergency departments in well resourced settings [1], or in outpatient clinics in resource-constrained settings [2]. Identifying these individuals is an important public health strategy that could limit HIV-1 transmission, provided they can be diagnosed [2], linked to care [3], and start immediate antiretroviral therapy (ART), as recommended by the WHO [4]. Unfortunately, AHI detection is not supported by policy in sub-Saharan Africa, where testing strategies focus exclusively on identifying adults with undiagnosed prevalent infection.

Acute HIV-1 infection is the phase of HIV-1 infection immediately after acquisition, during which 40–90% of patients develop symptoms [5]. During AHI, anti-HIV antibodies are undetectable, but HIV-1 RNA and p24 antigen are present. Once HIV antibodies develop, the phase is usually referred to as early HIV infection (EHI) [6]. Symptoms develop around 2 weeks after HIV-1 acquisition, just preceding the peak in viral load [7,8]. AHI symptoms are more common in patients infected with subtype A than subtype C or D [9]. In Kenya, where most infections are subtype A, we have found that most AHI patients (69%) seek care for symptoms [10].

In 2015, we developed a consensus risk score to target AHI screening using pooled cohort data from Kenya, Malawi, and South Africa [11]. The consensus risk score had 90.0% sensitivity and 74.1% specificity to identify AHI among MSM followed in a cohort study in Kenya, and reduced the proportion of MSM needing testing to 26.1% of the cohort [11]. The yield of this algorithm among general outpatients in Kenya is unknown.

In the present study, we assessed the outcomes of an HIV-testing intervention to diagnosis AHI, EHI, and chronic HIV infection among outpatients in a large Government Hospital in Malindi, coastal Kenya, who met the consensus risk score criteria. We report the yield of the HIV-testing intervention among individuals tested, and the time to ART initiation among individuals diagnosed.

Patients aged 18–35 years with unknown HIV status were screened to determine whether they met consensus risk score criteria [11]. Patients received a score of ‘1’ for young age (18–29 years), reported fever, fatigue, body pains, diarrhea, or sore throat, and a ‘3’ for reported genital ulcer disease. Patients with a risk score of at least 2 who agreed to the HIV-testing intervention were enrolled and received pretest counseling, after which a 4-ml blood sample was collected. Axillary temperature was measured in all patients, and documented fever defined as at least 37.5°C axillary. HIV testing was done in the presence of the patient using two rapid HIV antibody tests in parallel (Determine; Abbott Laboratories, Abbott Park, Illinois, USA; Unigold; Trinity Biotech plc, Bray, Ireland). Blood samples from participants whose rapid HIV antibody test results were HIV-negative or discordant were tested for HIV-1 RNA detection using the Xpert HIV-1 Qual assay (Cepheid, Sunnyvale, California, USA; prequalified by the WHO in 2016). Patients awaited Xpert results (∼1.5 h). All HIV-1-infected patients were offered immediate ART, in accordance with Kenyan guidelines [12].

From February to August 2016, 1063 (42.7%) of 2490 patients seeking care were screened for eligibility (Table 1). Approximately, one in three eligible patients refused research participation, and 706 patients enrolled in the study. Among patients with a documented refusal reason (54.4% of total refusals), the two most common reasons for refusing research participation were unwillingness to undergo HIV testing (41.1% in men, 30.3% in women; P = 0.15) and time constraints (17.9% in men, 21.8% in women; P = 0.5). Eligibility and enrolment did not differ by sex. The median age was 26 [interquartile range (IQR) 23–29) years in men and 25 (IQR 22–28) years in women. The median risk score was 3 (range 2–8) for men and 3 for women (range 2–7). Of the 706 participants, 74.1% had body pains, 70.7% fatigue, 50.1% reported fever, 24.5% sore throat, 11.6% diarrhea, and 8.5% ulcer disease (details in Table 1). In all, 107 (15.2%) patients had a documented fever.

Table 1
Table 1:
Screening outcomes of adult patients aged 18–35 years enrolled for acute HIV infection evaluation at outpatient care seeking, Kenya, 2016.

The HIV-1 antibody prevalence was 3.9% [95% confidence interval (CI) 1.6–7.5%) in men and 3.2% (95% CI 1.8–5.1%) in women, and 24 seropositive patients were newly diagnosed (8 men and 16 women). Of 682 patients (197 men and 485 women) who had negative or discordant rapid test results, 6 (0.9%) had acute and early HIV infection (AEHI), including 3 women with AHI and 3 women with EHI. The median risk score for AEHI patients was 5 [range 3–7, statistically significantly different from non-AEHI patients (P = 0.029)]. Of the 6 AEHI patients, 6 (100.0%) had body pains, 4 (66.7%) fatigue, 4 (66.7%) reported fever, 3 (50.0%) sore throat, 3 (50.0%) ulcer disease, and none had diarrhea. Five of the 6 AEHI patients were under 30 years of age. None of the AEHI patients had a documented fever.

Of the 30 newly diagnosed HIV patients, 23 (76.7%; 6 men and 17 women) registered for care after a median of 0 days (range 0–52) and 21 (70.0%; 6 men and 15 women) started ART after a median of 4 days (range 0–71). Five (83.3%) of the six AEHI patients started ART after a median of 0 day (range 0–11). Tracing attempts were unsuccessful for the two patients who registered for care, but did not initiate ART. Among the seven patients who failed to register, one requested referral to another HIV care facility and six were lost to follow-up shortly after diagnosis.

The HIV-testing intervention in the present study was carried out in approximately 43% of patients seeking care. The addition of Xpert HIV-1 Qual testing led to an increase in confirmed diagnoses by 25% (from 24 to 30 cases); 10% were in women who would not otherwise have been diagnosed and 10% were in women with discordant test results, who may not have followed up with repeat testing as recommended. In targeted risk groups, such as patients presenting with sexually transmitted infections (STIs), AHI prevalence can be as high as 1.0%, as reported in STI clinics in Malawi [13]. That study led to a recommendation for universal HIV-1 RNA testing at STI clinics [13]. In our study, the prevalence of AEHI combined was 0.9%, suggesting that HIV-1 RNA testing among young general outpatients targeted by our risk score algorithm is a sensible strategy for programmatic implementation. Because the cost of HIV-1 RNA testing (US $14.90 per assay since July 2018) is considerable, there is growing consensus that detection of AEHI in resource-limited countries should be guided by algorithms that identify at-risk individuals [6].

Our study was conducted in a town with a high HIV-1 prevalence, but low HIV testing and ART coverage, at a hospital in which provider-initiated testing and counseling was not routinely offered to outpatients. In contrast with earlier AHI screening in 2013, we did not find AEHI among patients with a documented fever [2], diarrhea, or among men. That we did not find AEHI among men may simply be chance, or due to the lower numbers of men participating in this study (29.1% of the total), the lower HIV incidence among young men than young women in Kenya [14], or that men had higher refusal rates than women for HIV testing. Attrition was relatively high, with nine patients (30.0%) lost to follow-up before initiating ART. It is possible that some of these patients linked to care elsewhere without our knowledge, not wanting to be associated with our research facility, which is known to serve key populations. Our consensus AHI algorithm identified AEHI patients who were more ill than non-AEHI patients seeking urgent care. Further studies on the yield of our AHI testing algorithm, including evaluation the cost-effectiveness of this approach, will be conducted in other areas of coastal Kenya in an NIH-funded proof-of-concept trial among adult patients seeking urgent care (R01AI124968). Finding patients with AEHI will remain a much needed but elusive target for public health interventions while costs of AHI tests remain high. HIV-1 RNA testing is recommended for emergency room screening in resource-rich countries [1], but AHI diagnosis considered a ‘common occurrence’ overlooked in resource-constrained settings [15]. Our study showed that AEHI screening using a POC HIV-1 RNA assay is feasible, led to a substantial increase in confirmed HIV-1 diagnoses, and allowed the majority of the AEHI patients to start on immediate ART.

Acknowledgements

We thank staff at the Malindi Subcounty Hospital and at KWTRP in Kilifi, Kenya. KWTRP is supported by core funding from the Wellcome Trust (#203077/Z/16/Z). This work was partially funded by the International AIDS Vaccine Initiative (IAVI) with the generous support of USAID and other donors; a full list of IAVI donors is available at www.iavi.org. EJS receives research funding from IAVI, NIH (grant R01AI124968), and the Wellcome Trust. SMG was supported by NIH (grant R01AI124968). This work was also supported through the Sub-Saharan African Network for TB/HIV Research Excellence (SANTHE), a DELTAS Africa Initiative [grant # DEL-15–006]. The contents are the responsibility of the study authors and do not necessarily reflect the views of USAID, the NIH, the United States Government, or the Wellcome Trust. This report was published with permission from KEMRI.

Conflicts of interest

There are no conflicts of interest.

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