In the United States, more than 1.1 million individuals are infected with HIV, more than 200,000 remain undiagnosed, and approximately 50,000 new infections occur annually.1 Individuals with undiagnosed HIV infection are responsible for the majority of new infections,2 and those with acute HIV infection are most likely to transmit the virus because of accompanying high viral loads.3,4 Identifying HIV infection remains an important public health priority because it affords the opportunity to link patients into specialized care in which treatment may halt disease progression while reducing the likelihood of transmission.5
Since 2006, the Centers for Disease Control and Prevention (CDC) has recommended performing non–risk-based (nontargeted) opt-out screening in all health care settings, including emergency departments (EDs), where the undiagnosed HIV prevalence is 0.1% or greater.6 This ambitious approach was based on the notion that nontargeted opt-out screening would result in larger numbers of individuals tested and identified with HIV infection, and earlier in their course of disease.7 In 2010, the Office of National AIDS Policy published the National HIV/AIDS Strategy for the United States, in which for the first time the federal government took an aggressive stance in support of broad screening, with the dual goal of reducing the number of individuals with undiagnosed HIV infection to approximately 100,000 (ie, 10% undiagnosed of all individuals with HIV infection) and reducing the number of annual new infections to approximately 37,500 per year (ie, 25% relative reduction in incident cases) by 2015.8 More recently, in 2013 the US Preventive Services Task Force updated their recommendations in support of routine HIV screening, based principally on evidence that morbidity and transmission may be significantly reduced after diagnosis and initiation of antiretroviral treatment.9
EDs have been a major focus of HIV testing efforts in the United States, prompted by the fact that more than 125 million ED visits occur annually,10 EDs serve substantial numbers of underserved patients,11 and they are a common site of missed opportunities for diagnosing HIV infection.12 Although alignment of federal recommendations provides an important foundation for guiding HIV prevention practices and broad HIV testing initiatives have raised awareness,13,14 relatively little has been done to ensure translation of such practices into routine emergency medical care.15,16 It remains unclear which methods of HIV screening are most effective and efficient for use in both academic and community EDs. In fact, the majority of EDs nationally do not routinely screen for HIV infection,15,16 evidenced by the finding that only approximately 0.3% of all ED visits include HIV testing.17,18
Acute HIV infection, a nonspecific clinical mononucleosis-like syndrome that occurs approximately 1 to 6 weeks after infection, represents a highly infectious phase of disease due to its association with extremely high viral loads.3 To help identify acute infections, in 2010 the Food and Drug Administration approved the first 4th-generation HIV assay, the Architect HIV Ag/Ab Combo (Abbott Laboratories, Abbott Park, IL); since that time, two other 4th-generation platforms, GS HIV Combo Ag/Ab EIA (Bio-Rad Laboratories, Hercules, CA) and the Alere Determine HIV-1/2 Ag/Ab Combo (Alere Inc, Waltham, MA) have been approved for use in clinical settings. These assays, which detect both HIV-1 and HIV-2 immunoglobulin M and immunoglobulin G antibodies and HIV-1 p24 antigen, offer improved sensitivities (over 3rd generation assays) for identification of acute HIV infection while maintaining high sensitivities for established HIV infection, thereby affording the opportunity to increase the total number of patients identified with HIV infection. The CDC recently endorsed use of 4th generation assays when coupled with a single assay to differentiate between HIV-1 and HIV-2 (eg, Multispot HIV-1/HIV-2 Rapid Test [Bio-Rad Laboratories]), while using nucleic acid testing (NAT) (ie, viral load) for confirmation, when necessary.19 Notably, for the new testing algorithm, Western blot is no longer recommended for confirmatory HIV testing given its relatively low sensitivity during early stages of HIV infection.
In this volume of Annals, Geren et al20 contribute substantially to our understanding of HIV screening in EDs by reporting programmatic results of nontargeted opt-out screening in a high-volume, urban ED. This study is unique in that it reports, for the first time in an ED setting, the use of fourth-generation HIV testing. During the approximately 30-month study period, 71,556 eligible patients presented to the ED, resulting in 27,952 HIV tests performed and 78 (0.3%) confirmed positive results. Eligibility included patients aged 18 through 64 years, without previous HIV diagnoses, altered mentation, being residents of psychiatric or correctional facilities, or victims of severe trauma. Additionally, patients were not tested for HIV infection if blood was not drawn (32% of those who consented for HIV testing) or, in a very limited number of cases, an order was not entered into their electronic medical record. The results from this implementation study parallel findings from other studies reporting nontargeted opt-out HIV screening in EDs (Table 1),20–37 including the need to perform a large number of HIV tests to identify a relatively small number of infected individuals (ie, about 350 tests per positive result), a prevalence ranging from 0.2% to 0.6%, and the majority of patients not completing testing because they opted out or were ineligible for testing due to the clinical circumstance (eg, severe illness or injury), or because of another practical issue (eg, lack of a blood draw). These limitations raise questions about the overall system-level effectiveness of performing nontargeted HIV screening in an ED, particularly when external resources for integrating this preventive service into practice become increasingly limited.
Table 1.
Authors | Year Published | Setting* | External Staff | Eligible Patients,
|
Offered Testing
|
Patients Tested
|
Confirmed Positive
|
|||
---|---|---|---|---|---|---|---|---|---|---|
N† | N1 | % | N2 | % | N3 | % | ||||
Opt-in consent | ||||||||||
Silva et al21 | 2007 | U, I | Y | 3,030 | NR | – | 1,428 | 47 | 8 | 0.56 |
Mehta et al22 | 2007 | U, A, I | Y | NR | 2,924 | – | 1,428 | – | 8 | 0.56 |
Walensky et al23 | 2008 | U, A | Y | 2,356 | 1,397 | 59 | 854 | 36 | 5 | 0.59 |
White et al24 | 2009 | U, A, I | N | 118,324 | 45,159 | 38 | 7,923 | 7 | 55 | 0.69 |
White et al25‡ | 2011 | U, A, I | N | 23,236 | 6,479 | 28 | 4,053 | 17 | 8 | 0.20§ |
d’Almeida et al26 | 2011 | MI | N | 78,411 | 20,962 | 27 | 12,754 | 16 | 18 | 0.14§ |
Wilbur et al27 | 2011 | U, A, I | Y | 5,794 | 1,484 | 26 | 1,121 | 19 | 5 | 0.45 |
Casalino et al28 | 2012 | MI | N | 183,957 | 11,401 | 6 | 7,215 | 4 | 40 | 0.55§ |
Haukoos et al29‡ | 2012 | U, A, I | N | 5,985 | 5,781 | 97 | 389 | 6 | 0 | 0 |
Hack et al30 | 2013 | U, A, P | Y | 2,645 | 300 | 11 | 224 | 8 | 0 | 0 |
Haukoos et al31 | 2013 | U, A, I | N | 29,510 | 19,634 | 67 | 3,591 | 12 | 7 | 0.20§ |
Lyons et al32 | 2013 | U, A, I | Y | 5,501 | 4,692 | 85 | 1,911 | 35 | 6 | 0.31§ |
Median | 33 | 16 | 0.20§ | |||||||
Range | 6–97 | 4–47 | 0.14–0.55§ | |||||||
Opt-out consent | ||||||||||
Brown et al33 | 2007 | U, A, I | Y | 13,240 | 4,187 | 32 | 2,486 | 19 | 9 | 0.36 |
Haukoos et al34 | 2010 | U, A, I | N | 28,043 | NR | – | 6,933 | 25 | 15 | 0.22§ |
Sattin et al35|| | 2011 | U, A, I | Y | 13,035 | 9,343 | 72 | 8,504 | 65 | 35 | 0.41 |
Wheatley et al36 | 2011 | U, A | Y | NR | 8,922 | – | 7,616 | – | 129 | 1.7 |
White et al25‡ | 2011 | U, A, I | N | 26,757 | 20,280 | 76 | 4,679 | 18 | 21 | 0.45§ |
Hoxhaj et al37 | 2011 | U, A, I | N | 24,686 | NR | – | 14,093 | 57 | 80 | 0.57§ |
Haukoos et al29‡ | 2012 | U, A, I | N | 6,842 | 6,602 | 97 | 886 | 13 | 2 | 0.23§ |
Geren et al20 | 2014 | U, A, I | N | 71,556 | 55,500 | 78 | 27,952 | 39 | 78 | 0.28 |
Median | 76 | 25 | 0.34§ | |||||||
Range | 32–97 | 13–65 | 0.22–0.57§ |
–, Undefined; U, urban; I, Level I trauma center; NR, not reported; A, academic; MI, multiple institutions; P, pediatric only.
Setting.
Eligibility varied by study.
Reported in the same study.
Specifically indicates new HIV diagnoses.
Reports more complete results that overlap with those of a previous publication.44
The most striking finding reported in their article, however, was the number of those identified with acute infections. Of the 78 patients with confirmed positive results, 18 (23%) were identified with acute HIV infection and would not have been identified had an earlier-generation assay been used (ie, testing for antibody only). These patients, most of whom were highly infectious because of extremely elevated viral loads, would have otherwise been told they were uninfected and unknowingly continued to engage in behaviors that contribute to viral transmission. Use of fourth-generation HIV testing thus may significantly mitigate transmission of HIV infection. Furthermore, given the high diagnostic accuracy and comparable costs of fourth-generation testing compared with third-generation testing (ie, approximately $10 per test), we firmly believe that this newer technology should be integrated into ED-based HIV testing programs, if at all possible.
It is difficult, however, to clearly resolve the relatively high proportion of acute HIV infections identified in the Maricopa ED, and it remains uncertain whether these results are generalizable or if they represent a largely untested population or even a microepidemic. Although acute HIV infections represented only 0.06% of all tests performed (ie, approximately 1,667 tests per acute infection identified), the proportion of acute infections among all confirmed diagnoses was remarkably high.20 Recent programmatic findings from our institutions support the notion that acute infections are identifiable in EDs. However, the proportion of acute infections relative to all confirmed positive results was significantly lower (approximately 10%) than that reported by Geren et al20 (Table 2). This latter prevalence is similar to what has been reported in other studies, including 5% in an ED in New Orleans.19,38,39
Table 2.
Site | Date Range | Fourth-Generation Assay Type* | Total Tests Performed,
|
Confirmed HIV Positive
|
Acute HIV Infections
|
||
---|---|---|---|---|---|---|---|
N | N1 | % | N2 | % | |||
Alameda Health System, Highland Hospital, Oakland, CA | January 2014–April 2014 | Architect HIV Ag/Ab Combo | 1,930 | 23 | 1.2 | 2 | 0.09† |
Denver Health Medical Center, Denver, CO | April 2014–June 2014 | Determine HIV-1/2 Ag/Ab Combo | 1,985 | 11 | 0.6 | 0 | 0† |
Johns Hopkins Hospital, Baltimore, MD | July 2013–May 2014 | Architect HIV Ag/Ab Combo | 6,991 | 25 | 0.4 | 2 | 0.03‡ |
Maricopa Integrated Health System, Maricopa Medical Center, Phoenix, AZ20 | July 2011–January 2014 | Architect HIV Ag/Ab Combo | 27,952 | 78 | 0.3 | 18 | 0.06‡ |
Total | 38,858 | 137 | 0.4 | 22 | 0.06 |
Ag, Antigen; Ab, antibody.
Testing algorithms: Highland Hospital: Architect HIV Ag/Ab Combo, followed by Western blot and viral load. Denver Health Medical Center: Determine HIV-1/2 Ag/Ab Combo, followed by viral load. Johns Hopkins Hospital: Architect HIV Ag/Ab Combo, followed by Bio-Rad Multispot HIV-1/HIV-2 Rapid Test and viral load.
Acute HIV infection defined serologically as antigen positive, antibody negative, and detectable HIV nucleic acid.
Acute HIV infection defined serologically as antigen positive or immunoglobulin M antibody positive, immunoglobulin G antibody negative, and detectable HIV nucleic acid.
Although diagnosing acute HIV infection is important, we should not lose track of how much work remains to solve larger issues related to ED-based HIV screening in general (eg, broader dissemination and implementation and patient selection strategies). Unfortunately, data from across the United States suggest that even when efforts to integrate nontargeted HIV screening are implemented in EDs, only approximately 25% of eligible ED patients actually complete testing (Table 1). Likely contributing to this unsettling statistic is the finding from 2 recent studies that most individuals who opt out do so because they believe they are not at risk for HIV infection.34,40 In addition, a significant proportion of patients in these studies were still identified relatively late in their disease courses.
Given the reality of limited existing ED-based prevention resources, alternative screening approaches may be more appropriate, with a focused effort on at-risk subpopulations.41 As the proportion of undiagnosed HIV infection declines nationally, in accordance with goals of the National HIV/AIDS Strategy, the utility of non–risk-based HIV screening will likely diminish, making more targeted strategies reasonable, practical, and likely cost-effective.42 Though the results are complex and still controversial, recent preliminary work found that risk-based screening using an empirically developed clinical prediction instrument was more strongly associated with identification of newly diagnosed HIV-infected patients than non–risk-based screening.31 Further focused research is required, however. Of the 18 ED implementation studies published to date, few have directly compared nontargeted screening with alternative screening or testing methods (eg, targeted screening or diagnostic testing), and none have found nontargeted screening to be superior in terms of rates of identification of newly diagnosed HIV infection.25,32,34 A large multicentered clinical trial is currently under way to help further the understanding of the comparative effectiveness of targeted and nontargeted screening strategies in EDs.43
As with the diagnosis of any clinical condition, one must look to actually find it; this holds true for HIV infection and, in particular, acute HIV infection. Fourth-generation HIV testing will improve our ability to identify a small but important group of individuals who are highly infectious and who otherwise do not know about their infections. However, the broader issues of engaging EDs in HIV screening and determining which patients should be tested remain the more fundamental challenge.
Acknowledgments
The authors acknowledge Emily Caruso, MSPH (Denver Health, Denver, CO), Meggan Bucossi, BA (Denver Health, Denver, CO), and Mark Thrun, MD (Denver Public Health, Denver, CO), for their contributions to conceptual ideas included in this editorial.
Funding and support: By Annals policy, all authors are required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article as per ICMJE conflict of interest guidelines (see www.icmje.org). The authors have stated that no such relationships exist and provided the following details: Drs. Haukoos, Lyons, White, and Rothman are supported, in part, by the National Institute of Allergy and Infectious Diseases (NIAID) (R01AI106057). Drs. Haukoos, Lyons, and Rothman are supported, in part, by the Agency for Healthcare Research and Quality (R01HS021749). Dr. Hsieh is supported, in part, by the National Institute of Allergy and Infectious Diseases (K01AI100681). Drs. White, Hsieh, and Rothman are supported, in part, by the Gilead Sciences HIV Focus Program.
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