To the Editors
Expert guidelines now recommend immediate antiretroviral therapy (ART) for all HIV-infected persons regardless of CD4 cell count, to reduce the risk of disease progression and prevent HIV transmission.1, 2 There is also increasing evidence that very early ART benefits the individual infected with HIV by leading to more rapid and robust immunologic recovery, lower inflammation and reduced viral reservoir size compared to a later start.3–12 However, in low and middle income countries universal immediate ART is rarely available. To assist clinicians in regions were universal ART is not available in prioritizing provision of immediate ART to patients that benefit most, Braun and colleagues recently developed the Acute Retroviral Syndrome Severity Score (ARSSS). Following the hypothesis that severity of primary HIV infection correlates with disease progression13–17, the score includes mostly clinical variables which reflect the intensity of the clinical presentation of primary HIV infection.18 The score was evaluated retrospectively among 290 individuals of the Zurich primary HIV infection study and correlated well with validated surrogate markers associated with HIV-1 disease progression, i.e. baseline CD4+ cell count, baseline viral load and setpoint viral load.18 External validation of the ARSSS is still missing, however. Further it remains unclear if the score has predictive validity also in individuals at the earliest stage of HIV infection, as only 3 out of these 290 individuals fulfilled the earliest criteria of acute HIV infection (AHI; i.e. Fiebig I or II).18, 19
In this retrospective analysis of a prospective observational cohort study, we evaluated performance of the ARSSS18 in persons diagnosed with AHI between 2007 and 2014 by the San Diego Primary HIV Infection Consortium.20 A total of 90 persons were identified with AHI and provided questionnaire responses on signs and symptoms of ARS at the time of AHI diagnosis, though only the subset of 48 individuals who provided information on whether they had sought medical attention for signs or symptoms of acute retroviral syndrome (i.e., a substantial 3-point component of the ARSSS) were included in this analysis (the question was not included in the questionnaire used between 2010 and 2012). All individuals were diagnosed with AHI with the “Early Test” that included routine individual donation (ID), HIV nucleic acid amplification testing (ID-NAT) to all rapid antibody–negative participants.21–26 AHI was defined as having a negative or indeterminate HIV antibody test result with a positive ID-NAT, corresponding to Fiebig stages I–II, and a mean estimated duration of infection of 10 days.19 At each participant’s first visit after documentation of AHI diagnosis (median 4 days, interquartile range [IQR] 3–6 days after AHI testing), blood samples were collected for CD4 and viral load testing. Detailed information related to occurrence, duration, and start and stop dates for signs and symptoms associated with AHI were also collected.27, 28 Participants were asked if they had sought medical attention for any of these signs or any symptoms. In persons who reported symptoms that were ongoing, the date on which symptoms resolved as well as additional signs or symptoms occurring within 4 weeks after the AHI test were collected during follow-up.20 The viral setpoint was defined as the first HIV-RNA measurement ≥90 days after the estimated date of infection in treatment-naive patients.18
We evaluated two versions of the ARSSS, the complete six variable27 ARSSS assessment (ARSSS-full) in a subset of 19 participants and a shorted version (ARSSS-short) consisting of four variables in all 48 participants (Table 1).
Table 1.
Short version and full version of the Acute Retroviral Syndrome Severity (ARSS) Score, demographics and clinical characteristics of the study population and comparison of sub-cohorts with Short ARSSS >2 and ≤2.
Scores | Variables | Individuals fulfilling variables of the score (n, %) | ||
---|---|---|---|---|
| ||||
Short ARSS Score (maximum value 8 points) |
|
12/48 (25%) | ||
|
1/48 (2%) | |||
|
4/48 (8%) | |||
|
30/48 (63%) | |||
| ||||
Full ARSS Score (maximum value 10 points) | All variables of the short ARSS score PLUS | |||
|
6/19 (32%) | |||
|
2/19 (11%) | |||
| ||||
Demographics and Clinical Characteristics | Study cohort | Sub-cohort with ARSSS-short ≤2 | Sub-cohort with ARSSS-short >2 | p-value if <0.1# |
| ||||
N | 48 | 36 | 12 | – |
Sex (Male/Female) | 48 (100%) / 0 | 36 (100%) / 0 | 12 (100%) / 0 | – |
Age, years (median, interquartile range) | 34 (18–69) | 35 (25–44) | 32 (27–44) | – |
Hispanic Ethnicity | 14 (29%) | 10 (28%) | 4 (33%) | – |
Caucasian Race | 25 (52%) | 19 (53%) | 6 (50%) | – |
Asian Race | 3 (6%) | 2 (6%) | 1 (8%) | – |
Black Race | 3 (6%) | 2 (6%) | 1 (8%) | – |
Pacific Islander Race | 3 (6%) | 3 (8%) | 0 | – |
| ||||
Clinical Characteristics at the time of sample collection |
Study cohort (median, range) |
Sub-cohort with ARSSS-short ≤2 (median, interquartile range) |
Sub-cohort with ARSSS-short >2 (median, interquartile range) |
p-value if <0.1# |
| ||||
CD4+ cell count (cells/μL) | 465 (120–972) | 474 (280–625) | 458 (342–555) | – |
CD8+ cell count (cells/μL) | 602 (91–2831) | 545 (269–862) | 943 (422–1451) | 0.048 |
CD4+/CD8+ cell ratio | 0.76 (0.13–2.84) | 0.92 (0.59–1.24) | 0.55 (0.33–0.72) | 0.032 |
Viral load log10 RNA | 5.07 (2.53–7.47) | 4.12 (3.60–4.86) | 5.56 (3.66–6.19) | 0.002 |
Set-point Viral load log10 RNA (n=25) | 4.45 (3.32–6.00) | § | § | § |
Number of signs and symptoms | 5 (1–10) | 5 (2–6) | 7 (5–8) | 0.056 |
Duration of signs and symptoms (days) | 11 (2–32) | 7 (4–12) | 14 (11–22) | 0.006 |
Abbreviations: ALT, alanine aminotransferase; ARS, acute respiratory syndrome; AST aspartate aminotransferase.
Modification from original score necessary as “inpatient treatment because of signs and symptoms of ARS” was not available.
P value calculated using Mann-Whitney U test.
Set-point Viral load was determined in only 2 patients with ARSSS-short >2. Therefore results are not displayed.
For this evaluation one of the originally proposed variables, “inpatient treatment” (i.e. 3 points in ARSSS), was replaced by “seeking medical attention because of signs and symptoms of acute retroviral syndrome (ARS)”, as inpatient treatment was not assessed in our cohort undergoing community based testing. The other three variables of the ARSSS-short, namely presence of severe neurological symptoms (e.g., encephalitis, meningitis; 3 points), age ≥ 50 years (1 point), and fever (self-reported or documented ≥38˚ degrees celsius; 1 point) remained unchanged and were assessed at the first visit after AHI diagnosis in all 48 individuals.
The ARSSS-full consisting of all six variables was assessed in the subset of 19/48 (40%) of participants who had safety lab results available (i.e. those who initiated ART immediately after AHI diagnosis; lab results were always obtained before ART start).
For statistical analysis, SPSS version 23 (SPSS, Inc., Chicago, IL, USA) was used. Correlation between ARSSS-short and ARSSS-full and viral loads, CD4/CD8 cell ratios, setpoint viral loads and number and duration of symptoms of ARS were calculated using Spearman correlation analysis due to the non-normal distributions of ARSSS and lab values. The University of California San Diego’s Human Research Protections Program approved the study protocol, consent process, and all study-related procedures.
The study cohort was composed of 48 participants with AHI. All 48 were men who have sex with men (MSM) Characteristics of the study cohort are displayed in Table 1. The most frequently reported symptom was fever (71%), followed by fatigue (67%) and myalgia (58%).
The cohort had a median ARSSS-short of 1 (range 0–7; 23% had a score of 0, 48% a score of 1, each 4% a score of 2 and 3, and 21% a score of 4 or above; Table 1). The ARSSS-short was significantly negatively correlated with CD4/CD8 cell ratio (Spearman ρ= −0.293; p=0.043) and positively correlated with viral load (ρ= 0.505; p<0.001). Significant positive correlations were also observed between the ARSSS-short and number of signs and symptoms of ARS (ρ= 0.567; p<0.001) and the total duration of signs and symptoms of ARS (ρ= 0.398; p=0.007). No significant correlations were observed between ARSSS-short and CD4 cell count (ρ= −0.045; p>0.2) and set point viral load (available in those 25/48 participants who started ART ≥ 90 days after EDI; ρ= −0.064; n.s.). Those with ARSSS-short > 2 had significantly lower CD4/CD8 cell ratios, higher viral loads, longer duration of symptoms and a trend towards more signs and symptoms than those with scores ≤ 2 (results and p values calculated using Mann-Whitney U test are depicted in Table 1).
In the 19 individuals with available safety labs, the ARSSS-full (median 1, range 0–8) did not correlate significantly with viral load (ρ= 0.315; p=0.19), CD4/CD8 cell ratio (ρ= 0.037; p>0.2) or CD4 count (ρ= −0.039; p>0.2). While a significant correlation was observed between ARSSS-full and number of signs and symptoms (ρ= 0.543; p=0.024), there was no significant correlation with duration of signs and symptoms (ρ= 0.300; p>0.2). Correlations of the ARSSS-short in the subset were as follows: viral loads (ρ= 0.463; p=0.046), CD4/CD8 ratios (ρ= −0.073; n.s.), CD4 (ρ= −0.063; n.s.), number of signs and symptoms (ρ= 0.418; n.s.), and duration of signs and symptoms (0.433; n.s.).
We evaluated the ARSSS, a score to identify individuals with the most severe clinical presentations of ARS who might profit most of immediate ART, among 48 individuals with AHI with an EDI of 10 days at the time of HIV diagnosis. We found that the short version of the score, limited to age and clinical variables that can all be collected at the time of HIV diagnosis, correlated well with severity of ARS in our study cohort, with significant positive correlations between ARSSS-short and viral load, number of ARS signs and symptoms and total duration of signs and symptoms, and a negative correlation between ARSSS-short and CD4/CD8 cell ratios. After being validated in another study the ARSSS-short may therefore be used to predict diseases severity at the time of HIV diagnosis and therefore significantly earlier than other markers of disease severity. While immediate ART for all AHI cases is clearly preferable and reflects current recommendations1, 2, a ARSSS cutoff >2 may be used for immediate treatment in resource limited setting, where drug use has to be triaged and is available for only about 25% of AHI cases.
The ARSSS-full (which includes the ARSSS-short variables, plus platelet count and transaminases18) could only be evaluated in the subset of participants. Interestingly, integration of laboratory variables into the score in this subset did not improve performance of the score when compared to the ARSSS-short (i.e. consisting of clinical variables only). This finding may relate to the small sample size of the subset with safety labs. Previous studies have shown that low platelet count29,30 and elevated transaminases31 correlate with HIV 1 disease progression in individuals with recent and chronic HIV infection. However, the prognostic potential of these two laboratory values specifically in the earliest stages of HIV infection (i.e. Fiebig I and II) has not been evaluated.
In conclusion, the ARSSS-short, which includes four easily assessed clinical and demographic variables, may provide a simple and reliable severity score for ARS, and may help identify individuals with the greatest risk of disease progression who would benefit the most from early ART. After validation in another study the ARSSS-short may therefore help to prioritize treatment in regions where ART is not universally available.
Acknowledgments
Funding:
This work was supported by funds from the following: MH was supported by the Interdisciplicinary Research Fellowship in NeuroAIDS (R25-MH081482), Developmental grant from the UC San Diego Center for AIDS Research (NIAID 5 P30 AI036214), TMARC pilot study (P50DA026306), the Max Kade Foundation, New York (Max Kade Postdoctoral Research grant), and grants from the National Institutes of Health: AI106039, and MH100974. SJL was supported by grants from the National Institutes of Health: AI106039, AI043638, AI074621, AI108351, AI03624 and MH100974. Furthermore, HFG, DLB and RDK were supported by the Clinical Research Priority Program, Viral Infectious Diseases, Zurich Primary HIV Infection Study and HFG was supported by the Swiss National Science Foundation grant # 320030_159868. RDK was supported by the Swiss National Science Foundation grant # BSSGI0_155851. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
MH served on the speakers’ bureau of Merck. SJL reported grant funding from Gilead Sciences, Inc. HFG has been an adviser and/or consultant for Gilead, Boehringer Ingelheim, Merck, and Bristol-Myers Squibb and has received unrestricted research and educational grants from Roche, Gilead, GlaxoSmithKline, and Merck Sharp and Dohme.
Footnotes
Conflicts of interest
All other authors reported no conflicts.
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