Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 May 1.
Published in final edited form as: Int J STD AIDS. 2020 Apr 15;31(6):510–516. doi: 10.1177/0956462419898324

Older Age at Infection and Nulliparity are Associated with Long-term Non-progression in Female Sex Workers Infected with Non-Subtype B HIV-1

Vernon MOCHACHE 1,*, Barbra A RICHARDSON 1, Linnet N MASESE 1, Susan M GRAHAM 1, Kishorchandra MANDALIYA 1, John KINUTHIA 2,3, Walter JAOKO 3, Julie OVERBAUGH 4, R Scott McCLELLAND 1,3
PMCID: PMC7375799  NIHMSID: NIHMS1597115  PMID: 32295475

Abstract

Background:

Studies have reported on HIV-infected, antiretroviral therapy (ART)-naïve individuals who show minimal disease progression despite prolonged infection. The characteristics of these long-term non-progressors (LTNPs) are not well-characterized in populations predominantly infected with non-subtype-B HIV-1.

Methods:

Female sex workers in Mombasa, Kenya who acquired HIV-1 were studied to ascertain immunological disease progression. Long-term non-progression was defined as an ART-naïve duration of infection ≥7 years and a majority of CD4+ counts ≥600 cells/µL with a non-declining CD4+ trend. Correlates of long-term non-progression were determined using multivariable logistic regression.

Results:

Between February 1993 and March 2014, 332 women acquired HIV-1. Of these, 77 (23%) had ≥7 years of follow-up and 13 (17%) were categorised as LTNPs. Factors associated with long-term non-progression included age >30 years at infection (aOR=9.41, 95% CI: 1.48–59.86, P=0.005) and nulliparity (aOR=20.19, 95% CI: 1.36–299.90, P=0.03). Each log10 increase in viral set point was associated with a lower likelihood of being a LTNP (aOR=0.31, 95% CI: 0.12–0.79, P=0.01).

Conclusion:

These findings suggest that age and parity may influence the likelihood of long-term non-progression through mechanisms that are not mediated by the effects of these variables on viral load. Future studies should seek to determine whether the associations presented are reproducible.

Keywords: Age, parity, HIV-1, non-subtype B, long-term non-progression, female sex workers, Kenya

Introduction

In the early 1990’s, a small proportion of antiretroviral therapy (ART)-naïve individuals were described who showed little or no evidence of immunologic decline despite being infected with HIV-1 for ≥7 years14. These individuals were referred to as long-term non-progressors (LTNPs). Studies of LTNPs have contributed to understanding the pathogenesis of HIV-1 and are relevant in advancing the HIV cure research agenda5, 6.

There is however, paucity of data describing the phenomenon of long-term non-progression among individuals infected with non-B HIV-1 subtypes7, 8. The present study sought to describe the presence and characteristics of long-term non-progression in a population of female sex workers (FSWs) who remained ART-naïve for ≥7 years after HIV-1 infection in Mombasa, Kenya. The predominant infecting HIV-1 subtypes in this setting are A, C, and D911.

Methods

Study procedures for the Mombasa Cohort of FSWs have been published12. Briefly, at enrollment and monthly follow-up visits, participants completed face-to-face interviews to ascertain demographic information as well as sexual and reproductive history. A pelvic examination was performed with collection of specimens for genital tract infection screening. In HIV-1-seronegative women, blood was collected monthly for HIV-1 screening, and an aliquot of plasma was stored at −80°C. In those who seroconverted for antibodies to HIV-1, blood was collected quarterly to determine CD4+ counts and plasma viral load (PVL).

Women were eligible for this analysis if they were ART-naïve, had accrued ≥7 years of follow-up after HIV-1 infection, and had ≥2 results from CD4+ counts available, excluding those in the first year after seroconversion (period of acute infection). To estimate the time of HIV-1 infection, stored plasma samples obtained prior to seroconversion were tested to identify any that were HIV-1 RNA positive. If ≥1 pre-seroconversion sample was HIV-1 RNA positive, the estimated time of infection was considered to be 17 days prior to the first RNA-positive sample13. If no pre-seroconversion samples were HIV-1-RNA-positive, the estimated time of infection was considered to be the midpoint between the last seronegative visit and the first seropositive visit.

HIV-1 RNA in stored plasma samples was measured using the Gen-Probe (Gen-Probe Inc., San Diego, CA, USA) first-generation viral load assay with a lower limit of quantitation of 100 copies/mL. Set point viral load was defined as the first PVL measurement between 120 – 730 days (2 years) after the estimated time of HIV-1 infection. Infecting HIV-1 subtype was determined as previously described14.

Based on previous studies, LTNPs were defined as having a majority (at least two-thirds) of available CD4+ counts ≥600cells/µL1518. Follow-up was measured from the estimated time of infection to the last available visit before loss to follow-up, initiation of ART, death, or administrative censoring on 31st March 2014. For each potential LTNP, a manual review of the linear change in CD4+ counts over time (trend) was required to show a pattern consistent with non-progression (i.e. rising or constant/non-declining).

Screening for HIV-1 was performed using an enzyme linked immunosorbent assay (ELISA): Detect-HIV 1–2 (BioChem ImmunoSystems, Montreal, Canada) was used between February 1993 and January 2010. A second ELISA assay, Pishtaz HIV 1–2 (Pishtaz Teb Diagnostics, Tehran, Iran) was used between February 2010 and March 2014. Positive screening results were confirmed with a second ELISA. Recombigen HIV 1–2 (Cambridge Biotech, Worcester, MA, USA) was used from February 1993 through August 2004, Biorad HIV 1–2 (Biorad Laboratories, Hercules, CA, USA) from September 2004 through May 2006, and Vironostika HIV-1 Uni-Form II Ag/Ab (Biomeriux, Marcy-l’Etoile, France) after June 2006.

Enumeration of CD4+ counts from April 1993 until January 1998 was performed using Cytosphere (Coulter, Haileah, FL, USA). Between February 1998 and October 2004, the Zymmune (Zynaxis Inc., Malvern, PA, USA) system was used. Thereafter, CD4+ counts were performed using FACSCount (Becton Dickinson, Franklin Lakes, NJ, USA).

For this analysis, baseline characteristics were summarized as median (interquartile range [IQR]) for continuous data and counts (N [%]) for categorical data. Univariate logistic regression was used to compare variables in LTNPs versus non-LTNPs. Comparison categories were formed by dichotomizing continuous data at the median. The outcome of interest was LTNP status, as defined above. While multiple CD4 cell counts were evaluated to determine outcome status, each participant had only one outcome assigned (i.e. LTNP or non-LTNP).

To identify independent predictors of LTNP status, exposures associated with long-term non-progression in univariate analyses with P≤0.10 were included in a multivariable model. The analysis evaluated correlates associated with a single outcome (i.e. LTNP or non-LTNP) without violating the assumption of independent observations. Data were analyzed using STATA Version 12 (StataCorp LP, College Station, TX, USA) and IBM SPSS Statistics Version 25 (IBM Corp, Armonk, NY, USA).

Beginning in March 2004, all participants who were eligible were offered ART according to Kenyan guidelines. Under these guidelines, ART was initially recommended for patients with CD4 counts <200 cells/µL. This threshold was raised to <350 cells/µL between October 2010 and June 2014 then <500 cells/µL until July 2016 when the universal test-and-start guideline was adopted. Until this time, women being followed as LTNPs were not eligible to initiate ART since, by definition, they continued to have CD4 counts well above the thresholds used to define ART eligibility.

Ethical approval for this study was obtained from the review committees of Kenyatta National Hospital, the University of Washington, and the Fred Hutchinson Cancer Research Center. All participants provided written informed consent.

Results

Between February 1993 and March 2014, there were 332 new HIV-1 infections in the Mombasa Cohort. Seventy-seven (23%) newly infected women were eligible for this analysis based on having ≥7 years of ART-naïve follow-up. Of these, 13 (17%) were categorized as LTNPs (Figure 1).

Figure 1.

Figure 1.

Identification of LTNPs among HIV-1 seroconverters in the Mombasa Cohort of FSWs. LTNP: long-term non-progressor.

Among the 77 eligible women, the median age at sexual debut was 17 (interquartile range, IQR 15–18) years. The median age at time of HIV-1 infection was 29 (IQR 26–34) years (Table 1). The women reported a median of 3 (IQR 2–6) years of sex work and 2 (IQR 1–3) prior live births. The median viral load set point was 4.43 log10 copies/mL (IQR 3.86–5.17). Among 52 (68%) seroconverters with infecting HIV-1 subtype data available, 39 (75%) were infected with subtype A, 7 (13%) with subtype D, and 4 (7%) with subtype C.

Table 1:

Characteristics of female sex workers who seroconverted to HIV-1 and were evaluated for long-term non-progression in the Mombasa Cohort

All women evaluable as LTNPs Women identified as LTNPs Women evaluable but not identified as LTNPs
N (%) or Median (IQR) N (%) or Median (IQR) N (%) or Median (IQR)
(N=77) (N=13) (N=64)
Age at infection 29 (26–34) 33 (31–36) 28 (25–32)
Age at sexual debut 17 (15–18) 18 (17–19) 17 (15–18)
Number of prior births 2 (1–3) 1 (1–2) 2 (1–3)
Years of education 8 (7–10) 8 (6–11) 8 (7–10)
Years of sex work 3 (2–6) 7 (2–11) 3 (2–6)
Alcohol use 66 (86) 12 (92) 54 (84)

Genital tract infections
 HSV-2 70 (91) 10 (77) 60 (94)
 TV 4 (5) 0 (0) 4 (6)
 VVC 6 (8) 0 (0) 6 (9)
 BV 15 (19) 2 (15) 13 (20)
 GC 4 (5) 0 (0) 4 (6)

Contraceptive use
 None 20 (26) 4 (31) 16 (25)
 DMPA 28 (36) 2 (15) 26 (41)
 OCP 15 (19) 2 (15) 13 (20)

Infecting HIV subtype*
 A 39 (75) 6 (86) 33 (73)
 A-recombinant 2 (3) 1 (14) 1 (2)
 C 4 (8) 0 (0) 4 (9)
 D 7 (14) 0 (0) 7 (16)

Viral load set point (log10 copies/mL) 4.43 (3.86–5.17) 3.91 (3.27–4.68) 4.59 (3.94–5.23)

Among 52, 7 and 45 women respectively, with infecting HIV-1 subtype data available; TV; Trichomonas vaginalis, VVC; vulvovaginal candidiasis; BV; bacterial vaginosis, GC; gonococcus, DMPA; depot medroxyprogesterone acetate, OCP; oral contraceptive pill

In univariate analyses, older age (≥16 versus <16 years) at sexual debut (OR 3.53, 95% confidence interval, CI: 0.72–17.26, P=0.1), older age (>30 versus ≤30 years) at HIV-1 infection (OR 9.17, 95% CI: 1.87–44.92, P=0.006), more years (>3 versus ≤3 years) of sex work (OR 2.67, 95% CI: 0.73–9.78, P=0.1), and nulliparity (OR 11.46, 95% CI: 0.96–137.39, P=0.05) were associated with significantly increased odds of being a LTNP. Each log10 copies/mL increase in viral set point was associated with 54% lower odds of being a LTNP (OR 0.46, 95% CI: 0.22–0.96, P=0.04) (Table 2).

Table 2:

Correlates of long-term non-progression among female sex workers with ≥7 years of ART-naïve follow-up in the Mombasa Cohort

Exposure LTNPs
N (%)/median (IQR)
(N=13)
Non-LTNPs
N (%)/median (IQR)
(N=64)
Univariate OR
(95% CI)
P-value Multivariate aOR* (95% CI) P-value
Age at sexual debut
 ≥16 years 11 (85) 39 (61) 3.53 (0.72 – 17.26) 0.1 5.94 (0.91 – 38.88) 0.06
Age at HIV-1 infection
 >30 years 11 (85) 24 (38) 9.17 (1.87 – 44.92) 0.006 9.41 (1.48 – 59.86) 0.005
Years of sex work
 >3 years 8 (67) 27 (42) 2.67 (0.73 – 9.78) 0.1 1.84 (0.44 – 7.66) 0.4
Parity at enrollment
 No previous birth 2 (15) 1 (2) 11.46 (0.96 – 137.39) 0.05 20.19 (1.36 – 299.9) 0.03
Viral load set-point (log10 copies/mL) 3.91 (3.27 – 4.68) 4.59 (3.94 – 5.23) 0.46 (0.22 – 0.96) 0.04 0.31 (0.12 – 0.79) 0.01
Infecting HIV subtype
 Subtypes C/D/recombinant compared to subtype A 1 (14) 12 (27) 0.44 (0.05 – 4.09) 0.5
Contraceptive use at infection
 None/Condoms/IUCD 5 (56) 17 (29) 1.0
 Depo-Provera 2 (22) 26 (45) 0.28 (0.05 – 1.59) 0.2
 Norplant/OCPs 2 (11) 15 (26) 0.51 (0.09 – 3.06) 0.5
Any genital infection
 Yes 0 (0) 8 (18) N/A
*

Adjusted for age at HIV-1 infection, years of sex work, parity and PVL set point. Due to collinearity, age at HIV-1 infection and parity were excluded from the multivariate models

In multivariate analyses, older age at HIV-1 infection (aOR 9.41, 95% CI: 1.48–59.86, P=0.005) and nulliparity (aOR 20.19, 95% CI: 1.36–299.90, P=0.03) remained significantly associated with increased odds of being a LTNP. Conversely, each log10 copies/mL increase in viral set point was associated with 69% lower odds of being a LTNP (OR 0.31, 95% CI: 0.12–0.79, P=0.01).

Table 3 presents results from a sensitivity analysis that retains the following exposures (age at sexual debut, age at HIV-1 infection, years of sex work and number of prior live births) as continuous variables in the logistic regression model. In multivariate analyses, each 1-year increment in age at HIV-1 infection was significantly associated with increased odds of being a LTNP (aOR 1.28, 95% CI: 1.09–1.51, P=0.003). Conversely, each additional live birth (aOR 0.32, 95% CI: 0.13–0.80, P=0.02) as well as each log10 copies/mL increase in viral set point (aOR 0.46, 95% CI: 0.19–1.08, P=0.07) was associated with lower odds of being a LTNP.

Table 3:

Correlates of long-term non-progression among female sex workers with ≥7 years of ART-naïve follow-up in the Mombasa Cohort (sensitivity analysis without dichotomizing continuous exposures)

Exposure LTNPs
N (%)/median (IQR)
(N=13)
Non-LTNPs
N (%)/median (IQR)
(N=64)
Univariate OR
(95% CI)
P-value Multivariate aOR* (95% CI) P-value
Age at sexual debut
 1-year increment 18 (17 – 19) 17 (15 – 18) 0.99 (0.93 – 1.05) 0.7
Age at HIV-1 infection
 1-year increment 33 (31 – 36) 29 (26 – 33) 1.15 (1.01 – 1.30) 0.03 1.28 (1.09 – 1.51) 0.003
Years of sex work
 1-year increment 6.5 (2.3 – 11.0) 3.0 (2.0 – 6.0) 1.00 (0.97, 1.04) 0.9
Parity at enrollment
 Per live birth 1 (1 – 2) 2 (1 – 3) 0.54 (0.28 – 1.03) 0.06 0.32 (0.13, 0.80) 0.02
Viral load set-point (log10 copies/mL) 3.91 (3.27 – 4.68) 4.59 (3.94 – 5.23) 0.46 (0.22 – 0.96) 0.04 0.46 (0.19, 1.08) 0.07
Infecting HIV subtype
 Subtypes C/D/recombinant compared to subtype A 1 (14) 12 (27) 0.44 (0.05 – 4.09) 0.5
Contraceptive use at infection
 None/Condoms/IUCD 5 (56) 17 (29) 1.0
 Depo-Provera 2 (22) 26 (45) 0.28 (0.05 – 1.59) 0.2
 Norplant/OCPs 2 (11) 15 (26) 0.51 (0.09 – 3.06) 0.5
Any genital infection
 Yes 0 (0) 8 (18) N/A
*

Adjusted for age at HIV-1 infection, parity and PVL set point. Due to collinearity, age at HIV-1 infection and parity were excluded from the multivariate models

Discussion

In this prospective study of FSWs predominantly infected with HIV-1 subtype A and with ≥7 years of ART-naïve follow-up, 17% were identified as LTNPs. Women were significantly more likely to be LTNPs if they were older at the time of HIV-1 infection and if they were nulliparous at enrolment into the cohort. These findings were independent of the effect of PVL on HIV-1 progression, suggesting that age and parity may influence the likelihood of being a LTNP through mechanisms that are not mediated entirely by the effects of these variables on PVL.

Previous studies on age and HIV-1 progression have had mixed results1921. Generally, older age has been associated with more rapid progression, which is hypothesized to result from weaker immunologic responses due to age-related immunosenescence2224. In contrast, this study found that women who were older at the time of HIV-1 infection were more likely to be LTNPs. In this FSW population, an interesting hypothesis to explain this observation is that women may have acquired immunologic responses to the virus from multiple prior mucosal exposures before becoming HIV-infected, resulting in delayed disease progression25, 26.

Studies of HIV-1-seropositive women who become pregnant have suggested that pregnancy-mediated immune alterations can lead to rapid disease progression27. It is possible that similar immunologic mechanisms among women who acquire HIV-1 following one or more prior pregnancies might explain the lower likelihood of LTNP status associated with prior pregnancies in this cohort.

A key strength of this study was that long-term follow-up in the Mombasa Cohort provided an ideal opportunity to answer this unique research question. Follow-up procedures included longitudinal collection of data and biological specimens before and after HIV-1 infection, facilitating the study of various potential correlates. Due to the global shift toward immediate ART initiation for all HIV-infected individuals, it is unlikely that such a group would be studied in the future. Nonetheless, it may be possible to examine questions related to LTNPs in existing datasets with extended follow-up of populations prior to initiation of ART.

This study analyzed correlates of long-term non-progression in the population of women with ≥7 years of ART-naïve follow up. Excluding women who died or were lost to follow-up <7 years following infection would predictably generate an estimate of the proportion of LTNPs that is higher than the proportion that would have been identified among all women who initially acquired HIV-1. Based on the high rate of long-term attrition due a variety of factors including migration and death28, estimates in the full dataset could have been biased in ways that are difficult to predict. The present analysis, while it does not estimate the proportion of LTNPs among all FSWs infected with HIV, had the advantage of including a clearly identifiable group that could be used for comparison in the analysis for correlates.

These findings need to be interpreted in the context of several limitations. First, the small number of LTNPs identified, including only 3 who were nulliparous (two LTNP and one non-LTNP), provided limited statistical power, leading to wide CIs. Given that LTNPs are a rare population, the structure of this analysis meant that the risk of limited statistical power was inevitable. Second, due to the nature of data collection in the cohort, parity was evaluated at the time of cohort enrollment and not when infection was acquired. Third, known immunogenetic correlates of long-term non-progression such as human leukocyte antigen type were not assessed. Despite these limitations, it is notable that the present analysis represents one of the largest cohorts of LTNPs infected with non-B subtypes described to date.

In conclusion, this analysis found that older age (>30 years) at time of HIV-1 infection and nulliparity were associated with increased likelihood of being a LTNP. These effects were independent of the effect of PVL on HIV-1 progression. Future research using historical datasets should determine whether these associations are reproducible. If so, it will be important to explore potential mechanisms linking older age and nulliparity with long-term non-progression.

Acknowledgements

The authors would like to acknowledge the clinical, laboratory, and administrative staff in Mombasa and Seattle, as well as the research participants in the Mombasa Cohort.

Footnotes

Declaration of interests

RSM receives research funding, paid to the University of Washington, from Hologic Corporation, and has received honoraria for consulting from Lupin Pharmaceuticals. All other authors declare that they have no conflicts of interest.

References

  • 1.Buchbinder SP, Katz MH, Hessol NA, et al. Long-term HIV-1 infection without immunologic progression. AIDS 1994; 8: 1123–1128. 1994/08/01. [DOI] [PubMed] [Google Scholar]
  • 2.Levy JA. HIV pathogenesis and long-term survival. AIDS 1993; 7: 1401–1410. 1993/11/01. [DOI] [PubMed] [Google Scholar]
  • 3.Sheppard HW, Lang W, Ascher MS, et al. The characterization of non-progressors: long-term HIV-1 infection with stable CD4+ T-cell levels. AIDS 1993; 7: 1159–1166. 1993/09/01. [PubMed] [Google Scholar]
  • 4.Strathdee SA, Craib KJ, Hogg RS, et al. Long-term non-progression in HIV infection. Lancet 1995; 346: 1372 1995/11/18. [DOI] [PubMed] [Google Scholar]
  • 5.Lopez-Galindez C, Pernas M, Casado C, et al. Elite controllers and lessons learned for HIV-1 cure. Curr Opin Virol 2019; 38: 31–36. 2019/06/30 DOI: 10.1016/j.coviro.2019.05.010. [DOI] [PubMed] [Google Scholar]
  • 6.Deeks SG, Lewin SR and Bekker LG. The end of HIV: Still a very long way to go, but progress continues. PLoS Med 2017; 14: e1002466 2017/12/01 DOI: 10.1371/journal.pmed.1002466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Laeyendecker O, Redd AD, Lutalo T, et al. Frequency of long-term nonprogressors in HIV-1 seroconverters From Rakai Uganda. J Acquir Immune Defic Syndr 2009; 52: 316–319. 2009/09/04 DOI: 10.1097/QAI.0b013e3181bc08f5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lutalo T, Gray RH, Wawer M, et al. Survival of HIV-infected treatment-naive individuals with documented dates of seroconversion in Rakai, Uganda. AIDS 2007; 21 Suppl 6: S15–19. 2008/01/11 DOI: 10.1097/01.aids.0000299406.44775.de. [DOI] [PubMed] [Google Scholar]
  • 9.Nyamache AK, Muigai AW and Khamadi SA. Circulating trends of non-B HIV type 1 subtypes among Kenyan individuals. AIDS Res Hum Retroviruses 2013; 29: 400–403. 2012/08/25 DOI: 10.1089/AID.2012.0213. [DOI] [PubMed] [Google Scholar]
  • 10.Khamadi SA, Lihana RW, Osman S, et al. Genetic diversity of HIV type 1 along the coastal strip of Kenya. AIDS Res Hum Retroviruses 2009; 25: 919–923. 2009/09/16 DOI: 10.1089/aid.2009.0005. [DOI] [PubMed] [Google Scholar]
  • 11.Tovanabutra S, Sanders EJ, Graham SM, et al. Evaluation of HIV type 1 strains in men having sex with men and in female sex workers in Mombasa, Kenya. AIDS Res Hum Retroviruses 2010; 26: 123–131. 2010/02/17 DOI: 10.1089/aid.2009.0115. [DOI] [PubMed] [Google Scholar]
  • 12.Martin HL Jr., Nyange PM, Richardson BA, et al. Hormonal contraception, sexually transmitted diseases, and risk of heterosexual transmission of human immunodeficiency virus type 1. J Infect Dis 1998; 178: 1053–1059. 1998/11/07. [DOI] [PubMed] [Google Scholar]
  • 13.Baeten JM, Richardson BA, Martin HL Jr., et al. Trends in HIV-1 incidence in a cohort of prostitutes in Kenya: implications for HIV-1 vaccine efficacy trials. J Acquir Immune Defic Syndr 2000; 24: 458–464. 2000/10/18. [DOI] [PubMed] [Google Scholar]
  • 14.Rainwater S, DeVange S, Sagar M, et al. No evidence for rapid subtype C spread within an epidemic in which multiple subtypes and intersubtype recombinants circulate. AIDS Res Hum Retroviruses 2005; 21: 1060–1065. 2005/12/29 DOI: 10.1089/aid.2005.21.1060. [DOI] [PubMed] [Google Scholar]
  • 15.Buchbinder S and Vittinghoff E. HIV-infected long-term nonprogressors: epidemiology, mechanisms of delayed progression, and clinical and research implications. Microbes Infect 1999; 1: 1113–1120. 1999/12/03. [DOI] [PubMed] [Google Scholar]
  • 16.Easterbrook PJ and Schrager LK. Long-term nonprogression in HIV infection: methodological issues and scientific priorities. Report of an international European community-National Institutes of Health Workshop, The Royal Society, London, England, November 27–29, 1995. Scientific Coordinating Committee. AIDS Res Hum Retroviruses 1998; 14: 1211–1228. 1998/10/09 DOI: 10.1089/aid.1998.14.1211. [DOI] [PubMed] [Google Scholar]
  • 17.Easterbrook PJ. Long-term non-progression in HIV infection: definitions and epidemiological issues. J Infect 1999; 38: 71–73. 1999/05/26. [DOI] [PubMed] [Google Scholar]
  • 18.Strathdee SA, Veugelers PJ, Page-Shafer KA, et al. Lack of consistency between five definitions of nonprogression in cohorts of HIV-infected seroconverters. AIDS 1996; 10: 959–965. 1996/08/01. [DOI] [PubMed] [Google Scholar]
  • 19.Becherer PR, Smiley ML, Matthews TJ, et al. Human immunodeficiency virus-1 disease progression in hemophiliacs. Am J Hematol 1990; 34: 204–209. 1990/07/01. [DOI] [PubMed] [Google Scholar]
  • 20.Hessol NA, Lifson AR, O’Malley PM, et al. Prevalence, incidence, and progression of human immunodeficiency virus infection in homosexual and bisexual men in hepatitis B vaccine trials, 1978–1988. Am J Epidemiol 1989; 130: 1167–1175. 1989/12/01. [DOI] [PubMed] [Google Scholar]
  • 21.Coates RA, Farewell VT, Raboud J, et al. Cofactors of progression to acquired immunodeficiency syndrome in a cohort of male sexual contacts of men with human immunodeficiency virus disease. Am J Epidemiol 1990; 132: 717–722. 1990/10/01. [DOI] [PubMed] [Google Scholar]
  • 22.Phillips AN, Lee CA, Elford J, et al. More rapid progression to AIDS in older HIV-infected people: the role of CD4+ T-cell counts. J Acquir Immune Defic Syndr 1991; 4: 970–975. 1991/01/01. [PubMed] [Google Scholar]
  • 23.Ferro S and Salit IE. HIV infection in patients over 55 years of age. J Acquir Immune Defic Syndr 1992; 5: 348–353. 1992/01/01. [PubMed] [Google Scholar]
  • 24.Appay V and Sauce D. Assessing immune aging in HIV-infected patients. Virulence 2017; 8: 529–538. 2016/06/17 DOI: 10.1080/21505594.2016.1195536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Fowke KR, Nagelkerke NJ, Kimani J, et al. Resistance to HIV-1 infection among persistently seronegative prostitutes in Nairobi, Kenya. Lancet 1996; 348: 1347–1351. 1996/11/16 DOI: 10.1016/S0140-6736(95)12269-2. [DOI] [PubMed] [Google Scholar]
  • 26.Fang G, Kuiken C, Weiser B, et al. Long-term survivors in Nairobi: complete HIV-1 RNA sequences and immunogenetic associations. J Infect Dis 2004; 190: 697–701. 2004/07/24 DOI: 10.1086/421504. [DOI] [PubMed] [Google Scholar]
  • 27.French R and Brocklehurst P. The effect of pregnancy on survival in women infected with HIV: a systematic review of the literature and meta-analysis. Br J Obstet Gynaecol 1998; 105: 827–835. 1998/09/24. [DOI] [PubMed] [Google Scholar]
  • 28.Lavreys L, Baeten JM, Chohan V, et al. Higher set point plasma viral load and more-severe acute HIV type 1 (HIV-1) illness predict mortality among high-risk HIV-1-infected African women. Clin Infect Dis 2006; 42: 1333–1339. 2006/04/06 DOI: 10.1086/503258. [DOI] [PubMed] [Google Scholar]

RESOURCES