Skip Navigation LinksHome > April 23, 2008 - Volume 22 - Issue 7 > CD4+ count and risk of non-AIDS diseases following initial t...
AIDS:
doi: 10.1097/QAD.0b013e3282f7cb76
Clinical Science

CD4+ count and risk of non-AIDS diseases following initial treatment for HIV infection

Baker, Jason Va,b; Peng, Gracea; Rapkin, Joshuaa; Abrams, Donald Ic; Silverberg, Michael Jd; MacArthur, Rodger De; Cavert, Winston Pa; Henry, W Keitha,b; Neaton, James Da; for the Terry Beirn Community Programs for Clinical Research on AIDS (CPCRA)

Free Access
Article Outline
Collapse Box

Author Information

From the aUniversity of Minnesota, Minneapolis, USA

bHennepin County Medical Center, Minneapolis, Minnesota, USA

cUniversity of California San Francisco, San Francisco, USA

dKaiser Permanente Northern California, Oakland, California, USA

eWayne State University, Detroit, Michigan, USA.

Correspondence to Dr Jason Baker, MD, MS, Hennepin County Medical Center, 701 Park Ave; Mail Code G5, Minneapolis, MN 55415, USA. Tel: +1 612 873 2705; fax: +1 612 904 4299; e-mail: baker459@umn.edu

Collapse Box

Abstract

Background: Reductions in AIDS-related morbidity and mortality following the advent of combination antiretroviral therapy have coincided with relative increases in chronic non-AIDS end-organ diseases among HIV+ patients.

Objective: To examine the association of latest CD4+ counts with risk of non-AIDS diseases in a cohort of 1397 patients who initiate antiretroviral therapy.

Methods: CD4+ counts and HIV RNA levels along with fatal, and non-fatal, AIDS and non-AIDS diseases (liver, cardiovascular, renal, and cancer) were assessed over a median follow-up of 5 years. Cox proportional regression models were used to study risk associations.

Results: A total of 227 patients experienced an AIDS event and 80 patients developed a non-AIDS disease event. Both AIDS and non-AIDS diseases rates (events/100 person-years), respectively, declined with higher latest CD4+ counts: 13.8 and 2.1 with latest CD4+ counts less than 200 cells/μl; 2.0 and 1.7 for counts of 200–350 cells/μl; and 0.7 and 0.7 for counts greater than 350 cells/μl. After adjusting for baseline covariates and the latest HIV RNA level, risk of AIDS and non-AIDS diseases were lowered by 44% (95% confidence interval for hazard ratio 0.50–0.62, P < 0.01) and 14% (95% confidence interval for hazard ratio 0.77–0.96, P = 0.01), respectively, for each 100 cell/μl higher latest CD4+ count.

Conclusion: Higher CD4+ counts on antiretroviral therapy are associated with lower rates of non-AIDS diseases and AIDS. These findings expand our understanding of the implications of HIV-related immunodeficiency and motivate randomized studies to evaluate the effects of antiretroviral therapy on a broad set of clinical outcomes at CD4+ counts greater than 350 cells/μl.

Back to Top | Article Outline

Introduction

Combination antiretroviral therapy (ART) as treatment for HIV-1 infection generally leads to CD4+ cell recovery [1], and corresponding reductions in AIDS-defining illnesses and mortality [2]. As a consequence of prolonged survival [3,4], morbidity and mortality among HIV-positive patients are increasingly due to non-AIDS diseases, including liver [5,6], cardiovascular [6–8], and renal [9] diseases, and certain cancers [10–12]. In fact, non-AIDS mortality is now the major cause of death among HIV-infected patients receiving ART [6,8,13,14].

Reasons for the apparent increased importance of non-AIDS diseases among patients with HIV are likely due to multiple factors. The HIV-infected population is aging, and higher risk of these diseases in the presence of reduced risk of AIDS would be expected. Non-AIDS disease risk may be increased by coinfection with viruses such as human papillomavirus (HPV) and hepatitis B or C [15–17], and a large fraction of HIV patients smoke cigarettes or have other risk factors for non-AIDS diseases [7,12,18,19]. Non-AIDS disease risk may also be increased as a consequence of HIV and ART. Concerning the latter, duration of protease inhibitor treatment has been associated with an increased risk of myocardial infarction [20]. Recommendations to defer ART until CD4+ counts decline to less than 350 cells/μl are largely because of concern about adverse events that include non-AIDS diseases associated with ART. Recent findings from the Strategies for the Management of Antiretroviral Therapy (SMART) study, however, raise questions about the balance of risks and benefits of ART for non-AIDS diseases. In SMART, episodic use of ART guided by CD4+ cell count was compared with continuous ART: episodic ART resulted in an increased risk of liver, cardiovascular, renal and cancer events, both fatal and non-fatal [21,22]. Thus, even though ART may increase the risk of some non-AIDS diseases, this risk may be greater if HIV infection is not treated.

Motivated by findings from SMART, we examined whether higher CD4+ counts with ART use are associated with a reduced risk of non-AIDS diseases (liver, cardiovascular, renal, and cancer) among HIV-infected patients taking ART. Our aim was to quantify this association and to compare it to the association of follow-up CD4+ count with risk of AIDS. The Flexible Initial Retrovirus Suppressive Therapies (FIRST) trial, conducted by the Community Program for Clinical Research on AIDS (CPCRA), was well suited to study this relationship in that both fatal and severe nonfatal AIDS and non-AIDS events were collected in a standardized manner over several years following initiation of ART.

Back to Top | Article Outline

Methods

Design

We used follow-up data (median of 5 years) for patients enrolled in FIRST. The study design and primary results of FIRST have been reported [23,24]. Briefly, between 1999 and 2002, 1397 ART-naïve HIV-infected participants were randomized equally to one of three ART strategies [nucleoside reverse transcriptase inhibitors (NRTI) plus protease inhibitors (PI), NRTI plus a non-nucleoside reverse transcriptase inhibitor (NNRTI), or the use of all three ART classes]. Following randomization and initiation of ART, participants were seen at month 1, month 4, and every 4 months thereafter for protocol-required data collection. At these visits, standardized data collection forms were completed for clinical endpoints, CD4+ counts were measured locally and HIV RNA levels were determined centrally (Roche Amplicor 1.0, Nutley, New Jersey, USA).

Back to Top | Article Outline
Outcomes

All new or recurrent AIDS events, deaths from any cause, non-fatal cardiovascular, renal, and liver disease events, malignancies, and other serious non-AIDS clinical events were ascertained. Qualifying AIDS events included presumed and definitive cases defined by US Centers for Disease Control and Prevention (CDC) AIDS criteria (1993) [25], adapted to include additional conditions related to immunodeficiency (footnote in Table 1). Non-AIDS disease events included the following fatal and non-fatal conditions: liver (cirrhosis by histology, ascites, esophageal/gastric varicies, hepatic encephalopathy or death from liver failure); cardiovascular (myocardial infarction, stroke, coronary artery intervention, or death from chronic atherosclerotic cardiovascular disease); renal (end-stage renal disease or death from chronic kidney disease); non-AIDS cancers (all cancers excluding Kaposi sarcoma, lymphoma, and invasive cervical cancer). Analyses were also considered for all-cause mortality and an expanded non-AIDS disease outcome that combined non-AIDS diseases (as above) with additional non-AIDS events ascertained in FIRST. Theses included congestive heart failure, coronary artery disease requiring drug treatment, myocarditis, pericarditis, pancreatitis, and bacterial pneumonia (single episode, non-AIDS defining). Structured case report forms were completed for AIDS and non-AIDS disease events. A Clinical Events Committee (CEC) reviewed and adjudicated AIDS events using prespecified criteria (see Appendix online). Deaths associated with both an AIDS and non-AIDS event were categorized as AIDS-related.

Table 1
Table 1
Image Tools
Back to Top | Article Outline
Statistical analysis

Cox proportional hazards regression models were used to study the relationship of AIDS, non-AIDS disease, and the other outcomes of interest, with baseline covariates corresponding to age, sex, race, baseline CD4+ count and HIV RNA level (log10 transformed), prior AIDS events, and coinfection with hepatitis B or C virus and time-dependent covariates corresponding to follow-up CD4+ count and HIV RNA levels (<50 versus ≥50 copies/ml). To examine a possible non-linear association with latest CD4+ count, we added a quadratic term and compared the fit of that model to the model with the linear term. Models were also fit using different CD4+ categories instead of continuous CD4+ count. Follow-up data were censored either when patients were lost to follow-up, on the closing date of the study (16 September 2005), or for death not attributable to the event considered. Patients who experienced both AIDS and non-AIDS diseases were counted for both outcomes when they were considered separately. Associations with latest CD4+ count did not vary significantly by randomized treatment group in FIRST, therefore analyses are pooled over the three treatment groups [26]. Laboratory measurements prior to events are referred to as ‘latest,’ and measurements prior to initiation of ART are referred to as ‘baseline’ (obtained at visits prior to randomization). Findings are summarized with hazard ratios (HR) and 95% confidence intervals (CI). HR for continuous latest CD4+ count corresponds to 100 cell/μl higher counts. Analyses were also carried out with log2 transformed CD4+ count. HRs from these models associated with a doubling of CD4+ count are cited. Statistical analyses were performed using SAS (Version 8.2). All rates are per 100 person-years of follow-up and all reported P-values are two-sided.

Back to Top | Article Outline

Results

Patient characteristics

The 1397 patients in FIRST had a median baseline CD4+ count of 163 cells/μl [interquartile range (IQR): 36, 332 cells/μl]. Of those assigned to a PI-based regimen, 62% were prescribed nelfinavir with another 24% using ritonavir-boosted PI. Ritonavir-boosted PI use increased during follow-up and was used in over 50% of patients by the end of the trial. As part of the initial ART regimen efavirenz accounted for 58% of NNRTI use, and the combination of zidovudine and lamivudine accounted for 53% of NRTI use.

Patients were followed for a median of 60 months; all patients were to be followed at least 42 months. Approximately 70% of patients achieved an HIV RNA level less than 50 copies/ml during the first year of ART. The mean of CD4+ counts after 32 months was 444 cells/μl for all patients and for those with baseline levels of less than 200, 200–350, and greater than 350 cells/μl, it was 335 (n = 660), 487 (n = 260), and 666 cells/μl (n = 276), respectively.

Baseline characteristics for all patients in FIRST and for those who developed an AIDS (227 patients) or non-AIDS disease event (80 patients) during follow-up are presented in Table 1. Non-AIDS events included seven cases of cirrhosis, eight myocardial infarctions, seven strokes, and 11 patients with end-stage renal disease. The most common malignancies were skin (six; includes two melanoma), lung (five), and anal cancer (five). Deaths not attributable to AIDS or the non-AIDS diseases considered in Table 1 numbered 72. Of these, 16 were a result of sepsis/shock, 17 from respiratory failure or pneumonia, 17 from other cardiovascular causes (arrhythmia, heart failure, pulmonary embolus, or aneurysm), and 20 were due to unknown causes.

Back to Top | Article Outline
Associations of baseline factors with AIDS and non-AIDS diseases

In univariate analyses, a 100 cells/μl higher CD4+ count and a 1 log10 lower HIV RNA level at baseline were associated with a lower risk of AIDS (CD4+ HR 0.60, 95% CI 0.53–0.67; HIV RNA HR 0.50, 95% CI 0.41–0.61) and non-AIDS disease (CD4+ HR 0.84, 95% CI 0.74–0.96; HIV RNA HR 0.80, 95% CI 0.59–1.07). A prior AIDS event before study entry and coinfection with hepatitis B or C virus was associated with a higher risk of AIDS (prior AIDS HR 3.89, 95% CI 2.95–5.13; hepatitis B or C coinfection HR 1.49, 95% CI 1.13–1.97) and non-AIDS events (prior AIDS HR 1.66, 95% CI 1.07–2.59; hepatitis B or C HR 2.17, 95% CI 1.39–3.40).

Multivariate models including all baseline covariates resulted in significant associations between prior AIDS diagnosis and AIDS (HR 2.12, 95% CI 1.55–2.89), and between older age (per 10 years) and non-AIDS diseases (HR 1.70, 95% CI 1.35–2.13). Further, older age (by 10 years) was independently associated with a greater risk of cardiovascular (HR 1.89, 95% CI 1.28–2.80) and non-AIDS cancer (HR 2.29, 95% CI 1.64–3.21) events. Hepatitis B or C virus coinfections were associated with liver events (HR 13.04, 95% CI 3.50–48.49); 9 out of the 14 events occurred in those coinfected with hepatitis B or C virus. Finally, black ethnicity was associated with a higher risk of renal events (HR 11.60, 95% CI 1.50–89.50).

Back to Top | Article Outline
Associations of latest HIV RNA levels with AIDS and non-AIDS diseases

In univariate analyses, a latest HIV RNA level less than 50 copies/ml, compared with at least 50 copies/ml, was also associated with lower risk for AIDS (HR 0.24, 95% CI 0.17–0.35) and non-AIDS diseases (HR 0.48, 95% CI 0.30–0.78). After adjusting for latest CD4+ count and baseline covariates, latest HIV RNA less than 50 copies/ml remained associated with a lower risk of AIDS (HR 0.46, 95% CI 0.32–0.68) and non-AIDS diseases (HR 0.52, 95% CI 0.31–0.87).

Back to Top | Article Outline
AIDS and non-AIDS disease risk by latest CD4+ count

Event rates were compared across three latest CD4+ categories (less than 200, 200–350, greater than 350 cells/μl; Figs. 1 and 2). Rates (and 95% CI) of AIDS and non-AIDS diseases, respectively, were 13.8 (11.8–15.9) and 2.1 (1.4–2.9) with latest CD4+ counts less than 200 cells/μl, 2.0 (1.3–2.8) and 1.7 (1.0–2.4) for counts of 200–350 cells/μl, and 0.7 (0.4–1.0) and 0.7 (0.4–1.0) for counts greater than 350 cells/μl. Non-AIDS disease rates decreased with increasing latest CD4+ levels, though to a lesser degree than for AIDS events. The steeper decline in risk for AIDS, compared with non-AIDS diseases, is evident in the unadjusted HRs. Above latest CD4+ counts of 350 cells/μl, rates for non-AIDS disease are similar to those for AIDS (Fig. 1). This is further illustrated in Fig. 2, which presents the proportion of total events that were due to AIDS or non-AIDS events by latest CD4+ count strata. AIDS events occurring at CD4+ counts greater than 350 cells/μl consisted primarily of severe/chronic herpes simplex disease (n = 3), esophageal candidiasis (n = 3), recurrent (less than 1 year) bacterial pneumonia (n = 4), and lymphoma (n = 3); non-AIDS events at higher CD4+ counts were more serious (11 non-AIDS cancer, three cirrhosis, and three coronary artery intervention). As expected events occurring at CD4+ counts less than 200 cells/μl tended to be more serious for AIDS (32 esophageal candidiasis, 25 Pneumocystis jirovedi pneumonia, 19 Mycobacterium avian complex, 17 crytococcosis, and 10 cytomegalovirus) and for non-AIDS (nine non-AIDS cancer, six stroke, and four end-stage renal disease).

Fig. 1
Fig. 1
Image Tools
Fig. 2
Fig. 2
Image Tools

Univariate and multivariate HR for AIDS and non-AIDS disease are shown in Fig. 3a. In multivariate analyses, a 100 cell/μl higher CD4+ count was associated with a 44% (95% CI for HR 0.50–0.62, P < 0.01) lower risk for AIDS and a 14% (95% CI for HR 0.77–0.96, P = 0.01) lower risk for non-AIDS diseases. A regression model with a quadratic term for CD4+ count fit better for AIDS (P < 0.0001) but not for non-AIDS events (P = 0.15). For AIDS, a 100 cell/μl higher CD4+ count was associated with a greater reduction in risk at lower CD4+ levels, for example, 54% for 200 versus 100 cells/μl, than higher levels, for example, 44% for 400 versus 300 cells/μl. This greater effect at lower levels is also evident from the HR cited in Fig. 1. We also considered the association with latest CD4+ after log2 transformation. A CD4+ count doubling was associated with a 38% (P < 0.01) lower risk of AIDS and a 20% (P < 0.01) lower risk of non-AIDS diseases.

Fig. 3
Fig. 3
Image Tools

A 100 cell higher CD4+ count was associated with a 35% (95% CI for HR 0.59–0.72) lower risk of death from any cause and a 30% (95% CI for HR 0.65–0.75, P < 0.01) lower risk for the composite outcome of AIDS, non-AIDS, or death (Fig. 3a). We also examined two additional composite outcomes for non-AIDS diseases. The multivariate HR was 0.90 (95% CI 0.83–0.97) for a composite that included non-AIDS diseases plus any death not attributable to AIDS (145 patients). Using an expanded non-AIDS event composite combining non-AIDS diseases with other nonfatal cardiovascular events, pancreatitis, bacterial infection, and any death not attributable to AIDS (253 patients), the adjusted HR was 0.91 (95% CI 0.85–0.96).

Because of the smaller number of events, CIs for HR estimates of individual non-AIDS diseases were wider (Fig. 3b). With the exception of liver disease, multivariate HRs for separate events were less than one.

We tested for an interaction between latest CD4+ levels and latest HIV RNA level. There was evidence of a significant interaction for AIDS (P = 0.01) but not for non-AIDS events (P = 0.06). When the latest HIV RNA level was less than 50 copies/ml, the HR associated with a 100 cell higher CD4+ count was 0.69 (95% CI: 0.58–0.83) for AIDS and 0.74 (95% CI: 0.61–0.91) for non-AIDS. When the HIV RNA was at least 50 copies/ml, the corresponding HRs for AIDS and non-AIDS events were 0.51 (95% CI: 0.45–0.58) and 0.93 (95% CI: 0.81–1.05).

Back to Top | Article Outline

Discussion

Serious non-AIDS diseases, such as liver, cardiovascular, renal, and non-AIDS cancers, have contributed significantly to morbidity and mortality among HIV-infected patients because of the introduction of potent combination ART. It is unclear to what extent this is due to chronic immunosuppression, complications of ART, coinfection, or other established risk factors [7,19,27]. We examined the relationship between HIV-related immune suppression (latest CD4+ count) and key serious non-AIDS diseases during a 5-year median follow-up after initiation of ART in a cohort of 1397 HIV-infected individuals. Our findings indicate that: rates of non-AIDS diseases decrease with increasing CD4+ counts, though to a lesser degree than for AIDS events, whereas AIDS events dominate at CD4+ counts less than 200 cells/μl, non-AIDS disease are as common and likely correspond to greater morbidity than AIDS events among those who achieve CD4+ counts greater than 200 cells/μl with ART; and latest CD4+ count is associated with risk of non-AIDS diseases even after adjusting for additional risk factors.

Decreases in mortality rates among HIV-infected patients have been driven primarily by reductions in AIDS events [2,8,14]. Future reductions in HIV-related morbidity and mortality will require a better understanding of the risk factors associated with common non-AIDS diseases. Our investigation was motivated by findings from the SMART study that found intermittent use of ART, compared to continuous ART, was associated with a higher risk of AIDS and non-AIDS diseases (liver, renal, cardiovascular, and cancer) [21,22]. Our findings, among patients followed after initiating ART, are consistent with SMART in that a given CD4+ count difference predicts a greater difference in AIDS than non-AIDS disease. Our findings also suggest the incidence of non-AIDS diseases are similar to the incidence of AIDS at higher CD4+ counts (greater than 350 cells/μl). These estimates are likely conservative, because of our use of unambiguous endpoints as evidence of chronic end-organ disease. When our definition of non-AIDS diseases was expanded, the association with latest CD4+ count did not change appreciably. Although proportional risk reductions associated with a given difference in CD4+ count are lower for non-AIDS disease than AIDS, absolute risk reductions may be greater at higher CD4+ counts. Thus, if the potential reduction in non-AIDS risk as well as AIDS risk could be realized through earlier initiation of ART (at counts greater than 350 cell/μl), thereby maximizing CD4+ cell recovery and minimizing time spent at lower CD4+ levels, the public health benefit would be substantial.

Our findings are also consistent with studies that have investigated non-AIDS causes of death with latest CD4+ count. In the DAD (Data Collection on Adverse Events of Anti-HIV Drugs) study, non-AIDS cancer death now exceeds mortality from AIDS defining cancers, and the risk of death from liver disease or non-AIDS cancer was increased for those with lower latest CD4+ count [27,28]. Similarly, in the CASCADE (Concerted Action on SeroConversion to AIDS and Death in Europe) collaboration, a 100 cell/μl higher CD4+ count was associated with a 14% lower risk of death from non-AIDS malignancy, a 10% lower risk of death from liver disease, and an 11% lower risk of death from cardiovascular disease [6]. It is possible that CD4+ counts may decline just prior to death, as a consequence of certain non-AIDS diseases. This appears to be the case for liver disease [29]. Accounting for disease incidence and deaths, as in the present analysis, minimizes but does not eliminate this potential problem.

Future studies should focus on mechanisms underlying the influence of HIV-related immune suppression on non-AIDS disease risk. Although CD4+ counts and HIV RNA levels are established prognostic markers for AIDS [30] in untreated HIV, there is little information on these relationships with non-AIDS diseases. Though the primary purpose of this study was to examine the influence of CD4+ counts, non-AIDS disease risk was lower with latest HIV RNA levels less than 50 copies/ml. We also found that the risk association for CD4+ counts and non-AIDS diseases was similar to AIDS when latest HIV RNA was less than 50 copies/ml, whereas risk for AIDS at a given latest CD4+ level was relatively greater when HIV RNA was at least 50 copies/ml. These findings indicate that both CD4+ count and HIV RNA level are important determinants of risk of AIDS and non-AIDS diseases. The interrelationship of CD4+ count and HIV RNA in untreated cohorts, in which the range in HIV RNA levels will be greater, requires further investigation. Immune activation is an important driver of both HIV viral replication and CD4+ depletion [31,32]. Inflammatory biomarkers elevated during HIV infection [33] are also associated with progression of renal disease [34] and risk for cardiovascular events [35] and certain cancers [36]. The influence of chronic inflammation on the pathogenesis of atherosclerosis and cancer has been an area of intense investigation for a number of years. Depletion of CD4+ and CD8+ cells during HIV infection also impairs viral-specific immunity leading to progression of associated comorbid diseases. Viral hepatitis-associated liver disease is a clear example of this, as progression of hepatitis B or C related liver disease is accelerated by the degree and duration of CD4+ depletion [27,37].

Coinfection with pro-oncogenic viruses and impaired immune surveillance due to sustained CD4+ depletion may work together to increase risk of certain cancers during HIV infection.

Cancers associated with Epstein–Barr virus (primary central nervous system lymphoma, Burkitt's lymphoma, primary effusion lymphoma, and Hodgkin's Disease) and human papillomavirus (anogenital and cervical cancer) have known associations with HIV infection [38–40]. In support of this mechanism, cancer incidence was recently examined in a cohort of 28 855 patients before and after kidney transplantation, and rates of several types of cancer, many with viral causes, increased two fold after transplantation [41]. Observational studies suggest that both degree of CD4+ depletion and duration of HIV infection may increase risk for anal cancer [39] and other colorectal neoplasms [11]. Further elucidation of these risk associations may come from recent research suggesting that immune surveillance within the gastrointestinal tract may be particularly impaired due to the preferential depletion, and lack of recovery with ART, of mucosal CD4+ cells during HIV infection [42,43].

Strengths of this study include the use of a well-defined cohort followed in a consistent manner after initiation of ART, and the ascertainment of both non-fatal and fatal non-AIDS events. Sample size limited accurate estimates of risks for individual types of non-AIDS disease. In addition, detailed descriptions of non-AIDS disease risk by HIV RNA level were limited in that most patients had HIV RNA levels less than 50 copies/ml during follow-up. Although ritonavir-boosted PI-based regimens were used as initial therapy in a minority of FIRST participants, CD4+ recovery was similar across randomized treatment strategies. In addition, treatment strategy did not alter non-AIDS disease risk by CD4+ count, but the risk assessment of specific drugs was limited as participants often changed the components of their ART regimen during follow-up. Finally, it should be emphasized that our finding of an association between latest CD4+ count and non-AIDS risk does not imply that use of ART to raise CD4+ count will reduce this risk. To establish that will require a randomized clinical trial.

In summary, we have established an association between latest CD4+ levels and risk for end-organ diseases not attributable to AIDS following initiation of ART. Further research is needed to establish whether HIV-related immune depletion truly leads to more frequent non-AIDS diseases, and to examine the underlying mechanisms. Ultimately, these findings support the need for a randomized clinical trial to determine the risk–benefit balance of starting ART at higher CD4+ counts.

Back to Top | Article Outline

Acknowledgements

The authors would like to sincerely thank all participants from the FIRST study, as well as investigators and staff from the Terry Beirn Community Programs for Clinical Research on AIDS for their dedication and commitment to conduct high-quality HIV trials. This study was supported by NIAID, NIH grants T32 AI055433, 5U01AI042170, 5U01AI046362, and U01AI068641.

Back to Top | Article Outline

References

1. Autran B, Carcelain G, Li TS, Blanc C, Mathez D, Tubiana R, et al. Positive effects of combined antiretroviral therapy on CD4+ T cell homeostasis and function in advanced HIV disease. Science 1997; 277:112–116.

2. Palella FJ Jr, Delaney KM, Moorman AC, Loveless MO, Fuhrer J, Satten GA, et al. Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators. N Engl J Med 1998; 338:853–860.

3. Centers for Disease Control and Prevention. Update: AIDS–United States, 2000. Morb Mortal Wkly Rep 2002; 51:592–595.

4. Walensky RP, Paltiel AD, Losina E, Mercincavage LM, Schackman BR, Sax PE, et al. The survival benefits of AIDS treatment in the United States. J Infect Dis 2006; 194:11–19.

5. Mocroft A, Soriano V, Rockstroh J, Reiss P, Kirk O, de Wit S, et al. Is there evidence for an increase in the death rate from liver-related disease in patients with HIV? AIDS 2005; 19:2117–2125.

6. Smit C, Geskus R, Walker S, Sabin C, Coutinho R, Porter K, et al. Effective therapy has altered the spectrum of cause-specific mortality following HIV seroconversion. AIDS 2006; 20:741–749.

7. Friis-Moller N, Sabin CA, Weber R, d'Arminio Monforte A, El-Sadr WM, Reiss P, et al. Combination antiretroviral therapy and the risk of myocardial infarction. N Engl J Med 2003; 349:1993–2003.

8. Sackoff JE, Hanna DB, Pfeiffer MR, Torian LV. Causes of death among persons with AIDS in the era of highly active antiretroviral therapy: New York City. Ann Intern Med 2006; 145:397–406.

9. Schwartz EJ, Szczech LA, Ross MJ, Klotman ME, Winston JA, Klotman PE. Highly active antiretroviral therapy and the epidemic of HIV+ end-stage renal disease. J Am Soc Nephrol 2005; 16:2412–2420.

10. Burgi A, Brodine S, Wegner S, Milazzo Mark, Wallace MR, Spooner K, et al. Incidence and risk factors for the occurrence of non-AIDS-defining cancers among human immunodeficiency virus-infected individuals. Cancer 2005; 104:1505–1511.

11. Bini EJ, Park J, Francois F. Use of flexible sigmoidoscopy to screen for colorectal cancer in HIV-infected patients 50 years of age and older. Arch Intern Med 2006; 166:1626–1631.

12. Chaturvedi AK, Pfeiffer RM, Chang L, Goedert JJ, Biggar RJ, Engels EA. Elevated risk of lung cancer among people with AIDS. AIDS 2007; 21:207–213.

13. Mocroft A, Brettle R, Kirk O, Blaxhult A, Parkin JM, Antunes F, et al. Changes in the cause of death among HIV positive subjects across Europe: results from the EuroSIDA study. AIDS 2002; 16:1663–1671.

14. Palella FJ Jr, Baker RK, Moorman AC, Chmiel JS, Wood KC, Brooks JT, et al. Mortality in the highly active antiretroviral therapy era: changing causes of death and disease in the HIV outpatient study. J Acquir Immune Defic Syndr 2006; 43:27–34.

15. Chiao EY, Krown SE, Stier EA, Schrag D. A population-based analysis of temporal trends in the incidence of squamous anal canal cancer in relation to the HIV epidemic. J Acquir Immune Defic Syndr 2005; 40:451–455.

16. Palefsky JM, Holly EA, Efirdc JT, da Costa M, Jay N, Berry JM, Darragh TM. Anal intraepithelial neoplasia in the highly active antiretroviral therapy era among HIV-positive men who have sex with men. AIDS 2005; 19:1407–1414.

17. Rockstroh JK. Influence of viral hepatitis on HIV infection. J Hepatol 2006; 44:S25–S27.

18. Giordano TP, Kramer JR. Does HIV infection independently increase the incidence of lung cancer? Clin Infect Dis 2005; 40:490–491.

19. Morse CG, Kovacs JA. Metabolic and skeletal complications of HIV infection: the price of success. JAMA 2006; 296:844–854.

20. Friis-Moller N, Reiss P, Sabin CA, Weber R, Monforte A, El-Sadr W, et al. Class of antiretroviral drugs and the risk of myocardial infarction. N Engl J Med 2007; 356:1723–1735.

21. El-Sadr WM, Lundgren JD, Neaton JD, Gordin F, Abrams D, Arduino RC, et al. CD4+ count-guided interruption of antiretroviral treatment. N Engl J Med 2006; 355:2283–2296.

22. Silverberg MJ, Neuhaus J, Bower M, Gey D, Hatzakis A, Henry K, et al. Risk of cancers during interrupted antiretroviral therapy in the SMART study. AIDS 2007; 21:1957–1963.

23. MacArthur RD, Chen L, Mayers D, Besch CL, Novak R, van den Berg-Wolf M, et al. The rationale and design of the CPCRA (Terry Beirn Community Programs for Clinical Research on AIDS) 058 FIRST (Flexible Initial Retrovirus Suppressive Therapies) Trial. Controlled Clin Trials 2001; 22:176–190.

24. MacArthur RD, Novak RM, Peng G, Chen L, Xiang Y, Hullsiek K, et al. A comparison of three highly active antiretroviral treatment strategies consisting of nonnucleoside reverse transcriptase inhibitors, protease inhibitors, or both in the presence of nucleoside reverse transcriptase inhibitors as initial therapy (CPCRA 058 FIRST Study): a long-term randomised trial. Lancet 2006; 368:2125–2135.

25. 1993 revised classification system for HIV infection and expanded surveillance case definition for AIDS among adolescents and adults. MMWR Recomm Rep 1992; 41(RR-17):1–19.

26. Kalbfleisch J, Prentice R. The Statistical Analysis of Failure Time Data. 2nd ed. New York: John Wiley; 2002.

27. Weber R, Sabin CA, Friis-Moller N, Reiss P, El-Sadr WM, Kirk O, et al. Liver-related deaths in persons infected with the human immunodeficiency virus: the DAD study. Arch Intern Med 2006; 166:1632–1641.

28. D'Arminio Monforte A, Abrams D, Pradier C, Weber R, Bonnet F, DeWit S, et al. HIV-induced immunodeficiency and risk of fatal AIDS-defining and non-AIDS defining malignancies: results from the D:A:D study. Fourteenth Conference on Retroviruses and Opportunistic Infections. Los Angeles, CA, February 2007 [abstract 84].

29. McGovern BH, Golan Y, Lopez M, Pratt D, Lawton A, Moore G, et al. The impact of cirrhosis on CD4+ T cell counts in HIV-seronegative patients. Clin Infect Dis 2007; 44:431–437.

30. Mellors JW, Munoz A, Giorgi JV, Margolick JB, Tassoni CJ, Gupta P, et al. Plasma viral load and CD4+ lymphocytes as prognostic markers of HIV-1 infection. Ann Intern Med 1997; 126:946–954.

31. Douek DC, Picker LJ, Koup RA. T cell dynamics in HIV-1 infection. Annu Rev Immunol 2003; 21:265–304.

32. Decrion AZ, Dichamp I, Varin A, Herbein G. HIV and inflammation. Curr HIV Res 2005; 3:243–259.

33. Lau B, Sharrett AR, Kingsley LA, Post W, Palella FJ, Visscher B, Gange SJ. C-Reactive protein is a marker for human immunodeficiency virus disease progression. Arch Intern Med 2006; 166:64–70.

34. Panichi V, Migliori M, De Pietro S, Taccola D, Bianchi AM, Norpoth M, et al. C-Reactive protein in patients with chronic renal diseases. Ren Fail 2001; 23:551–562.

35. Ridker PM, Rifai N, Rose L, Buring JE, Cook NR. Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events. N Engl J Med 2002; 347:1557–1565.

36. Erlinger TP, Platz EA, Rifai N, Helzlsouer KJ. C-Reactive protein and the risk of incident colorectal cancer. JAMA 2004; 291:585–590.

37. Rockstroh JK. Management of hepatitis B and C in HIV co-infected patients. J Acquir Immune Defic Syndr 2003; 34(Suppl 1):S59–S65.

38. Frisch M, Biggar RJ, Engels EA, Goedert JJ. Association of cancer with AIDS-related immunosuppression in adults. JAMA 2001; 285:1736–1745.

39. Chin-Hong PV, Palefsky JM. Natural history and clinical management of anal human papillomavirus disease in men and women infected with human immunodeficiency virus. Clin Infect Dis 2002; 35:1127–1134.

40. Grulich AE, van Leeuwen MT, Falster MO, Vajdic CM. Incidence of cancers in people with HIV/AIDS compared with immunosuppressed transplant recipients: a meta-analysis. Lancet 2007; 370:59–67.

41. Vajdic CM, McDonald SP, McCredie MR, van Leeuwen MT, Stewart JH, Law M, et al. Cancer incidence before and after kidney transplantation. JAMA 2006; 296:2823–2831.

42. Brenchley JM, Schacker TW, Ruff LE, Price DA, Taylor JH, Beilman GJ, et al. CD4+ T cell depletion during all stages of HIV disease occurs predominantly in the gastrointestinal tract. J Exp Med 2004; 200:749–759.

43. Mehandru S, Poles MA, Tenner-Racz K, Jean-Pierre P, Manuelli V, Lopez P, et al. Lack of mucosal immune reconstitution during prolonged treatment of acute and early HIV-1 infection. PLoS Med 2006; 3:e484.

Cited By:

This article has been cited 49 time(s).

Revista Chilena De Infectologia
Malignancies in HIV-infected patients. Descriptive study of 129 cases between 1993 and 2010
Meijide, H; Mena, A; Pernas, B; Castro, A; Lopez, S; Vazquez, P; Bello, L; Balinas, J; Rodriguez-Martinez, G; Pedreira, JD
Revista Chilena De Infectologia, 30(2): 156-161.

Cold Spring Harbor Perspectives in Medicine
HIV Pathogenesis: The Host
Lackner, AA; Lederman, MM; Rodriguez, B
Cold Spring Harbor Perspectives in Medicine, 2(9): -.
ARTN a007005
CrossRef
Cold Spring Harbor Perspectives in Medicine
Novel Cell and Gene Therapies for HIV
Hoxie, JA; June, CH
Cold Spring Harbor Perspectives in Medicine, 2(): -.
ARTN a007179
CrossRef
Bmc Medicine
When to start antiretroviral therapy: the need for an evidence base during early HIV infection
Lundgren, JD; Babiker, AG; Gordin, FM; Borges, AH; Neaton, JD
Bmc Medicine, 11(): -.
ARTN 148
CrossRef
Jama-Journal of the American Medical Association
Management of Human Immunodeficiency Virus Infection in Advanced Age
Greene, M; Justice, AC; Lampiris, HW; Valcour, V
Jama-Journal of the American Medical Association, 309(): 1397-1405.

Brazilian Journal of Infectious Diseases
Aging with HIV: a practical review
Cardoso, SW; Torres, TS; Santini-Oliveira, M; Monteiro, L; Marins, S; Veloso, VG; Grinsztejn, B
Brazilian Journal of Infectious Diseases, 17(4): 464-479.
10.1016/j.bjid.2012.11.007
CrossRef
Molecular Immunology
Promoting immunity during chronic infection-The therapeutic potential of common gamma-chain cytokines
Toe, JG; Pellegrini, M; Mak, TW
Molecular Immunology, 55(): 38-47.
10.1016/j.molimm.2013.04.008
CrossRef
Advances in Immunology, Vol 119
Residual Immune Dysregulation Syndrome in Treated HIV infection
Lederman, MM; Funderburg, NT; Sekaly, RP; Klatt, NR; Hunt, PW
Advances in Immunology, Vol 119, 119(): 51-83.
10.1016/B978-0-12-407707-2.00002-3
CrossRef
AIDS and Behavior
Predictors of Late Presentation for HIV Diagnosis: A Literature Review and Suggested Way Forward
Mukolo, A; Villegas, R; Aliyu, M; Wallston, KA
AIDS and Behavior, 17(1): 5-30.
10.1007/s10461-011-0097-6
CrossRef
AIDS Research and Human Retroviruses
Rate and Predictors of Non-AIDS Events in a Cohort of HIV-Infected Patients with a CD4 T Cell Count Above 500 Cells/mm(3)
Lucero, C; Torres, B; Leon, A; Calvo, M; Leal, L; Perez, I; Plana, M; Arnedo, M; Mallolas, J; Gatell, JM; Garcia, F
AIDS Research and Human Retroviruses, 29(8): 1161-1167.
10.1089/aid.2012.0367
CrossRef
Nanomedicine-Nanotechnology Biology and Medicine
Nanomedicine applications towards the cure of HIV
Lisziewicz, J; Toke, ER
Nanomedicine-Nanotechnology Biology and Medicine, 9(1): 28-38.
10.1016/j.nano.2012.05.012
CrossRef
Journal of Infectious Diseases
Cell-Based Measures of Viral Persistence Are Associated With Immune Activation and Programmed Cell Death Protein 1 (PD-1)-Expressing CD4(+) T cells
Hatano, H; Jain, V; Hunt, PW; Lee, TH; Sinclair, E; Do, TD; Hoh, R; Martin, JN; McCune, JM; Hecht, F; Busch, MP; Deeks, SG
Journal of Infectious Diseases, 208(1): 50-56.
10.1093/infdis/jis630
CrossRef
Clinical Infectious Diseases
CD4(+) T Cell Recovery with Antiretroviral Therapy: More Than the Sum of the Parts
Geng, EH; Deeks, SG
Clinical Infectious Diseases, 48(3): 362-364.
10.1086/595889
CrossRef
Clinical Infectious Diseases
The Paradox of Incomplete CD4(+) Cell Count Restoration Despite Successful Antiretroviral Treatment and the Need to Start Highly Active Antiretroviral Therapy Early
Julg, B; Walker, BD
Clinical Infectious Diseases, 48(6): 795-797.
10.1086/597094
CrossRef
Neurologia
Carotid artery disease and human immunodeficiency virus (HIV) infection
Serna-Candel, C; Portilla, J; Matias-Guiu, J
Neurologia, 24(5): 318-330.

Clinical Infectious Diseases
Incidence of Malignancies in HIV-Infected Patients and Prognostic Role of Current CD4 Cell Count: Evidence from a Large Italian Cohort Study
Prosperi, MCF; Cozzi-Lepri, A; Castagna, A; Mussini, C; Murri, R; Giacometti, A; Torti, C; Costantini, A; Narciso, P; Ghinelli, F; Antinori, A; Monforte, AD
Clinical Infectious Diseases, 50(9): 1316-1321.
10.1086/651688
CrossRef
Antiviral Therapy
Predicting the magnitude of short-term CD4(+) T-cell recovery in HIV-infected patients during first-line highly active antiretroviral therapy
Castagna, A; Galli, L; Torti, C; Monforte, AD; Mussini, C; Antinori, A; Cozzi-Lepri, A; Ladisa, N; De Luca, A; Seminari, E; Gianotti, N; Lazzarin, A
Antiviral Therapy, 15(2): 165-175.
10.3851/IMP1513
CrossRef
Revue De Medecine Interne
Antiretroviral therapy in human immunodeficiency virus infection: An update
Chaix, F; Goujard, C
Revue De Medecine Interne, 30(6): 543-554.
10.1016/j.revmed.2008.12.014
CrossRef
Current Atherosclerosis Reports
The Spectrum of Atherosclerotic Coronary Artery Disease in HIV Patients
Hakeem, A; Bhatti, S; Cilingiroglu, M
Current Atherosclerosis Reports, 12(2): 119-124.
10.1007/s11883-010-0089-4
CrossRef
Clinical Infectious Diseases
Universal Prophylaxis, Targeted Prophylaxis, and/or Preemptive Therapy for Opportunistic Infections at the Time of Initiation of Combination Antiretroviral Therapy for Patients with Advanced HIV Infection
DiNubile, MJ
Clinical Infectious Diseases, 49(5): 808-U168.
10.1086/605289
CrossRef
Clinical Infectious Diseases
Incomplete Reconstitution of T Cell Subsets on Combination Antiretroviral Therapy in the AIDS Clinical Trials Group Protocol 384
Robbins, GK; Spritzler, JG; Chan, ES; Asmuth, DM; Gandhi, RT; Rodriguez, BA; Skowron, G; Skolnik, PR; Shafer, RW; Pollard, RB
Clinical Infectious Diseases, 48(3): 350-361.
10.1086/595888
CrossRef
Clinical Infectious Diseases
Incomplete Peripheral CD4(+) Cell Count Restoration in HIV-Infected Patients Receiving Long-Term Antiretroviral Treatment
Kelley, CF; Kitchen, CMR; Hunt, PW; Rodriguez, B; Hecht, FM; Kitahata, M; Crane, HM; Willig, J; Mugavero, M; Saag, M; Martin, JN; Deeks, SG
Clinical Infectious Diseases, 48(6): 787-794.
10.1086/597093
CrossRef
Current Hiv Research
Risk Factors, CD4 Long-Term Evolution and Mortality of HIV-Infected Patients who Persistently Maintain Low CD4 Counts, Despite Virological Response to HAART
Pacheco, YM; Jarrin, I; Del Amo, J; Moreno, S; Iribarren, JA; Viciana, P; Parra, J; Gomez-Sirvent, JL; Gutierrez, F; Blanco, JR; Vidal, F; Leal, M
Current Hiv Research, 7(6): 612-619.

New England Journal of Medicine
When to Start Antiretroviral Therapy - Ready When You Are?
Sax, PE; Baden, LR
New England Journal of Medicine, 360(): 1897-1899.
10.1056/NEJMe0902713
CrossRef
Journal of Infectious Diseases
Plasma Levels of Bacterial DNA Correlate with Immune Activation and the Magnitude of Immune Restoration in Persons with Antiretroviral-Treated HIV Infection
Jiang, W; Lederman, MM; Hunt, P; Sieg, SF; Haley, K; Rodriguez, B; Landay, A; Martin, J; Sinclair, E; Asher, AI; Deeks, SG; Douek, DC; Brenchley, JM
Journal of Infectious Diseases, 199(8): 1177-1185.
10.1086/597476
CrossRef
American Journal of Epidemiology
The Study to Understand the Natural History of HIV and AIDS in the Era of Effective Therapy (SUN Study)
Vellozzi, C; Brooks, JT; Bush, TJ; Conley, LJ; Henry, K; Carpenter, CCJ; Overton, ET; Hammer, J; Wood, K; Holmberg, SD
American Journal of Epidemiology, 169(5): 642-652.
10.1093/aje/kwn361
CrossRef
Journal of Antimicrobial Chemotherapy
Unmet therapeutic needs in the new era of combination antiretroviral therapy for HIV-1
Taiwo, B; Hicks, C; Eron, J
Journal of Antimicrobial Chemotherapy, 65(6): 1100-1107.
10.1093/jac/dkq096
CrossRef
AIDS Research and Human Retroviruses
Evolution of CD4(+) T Cell Count in HIV-1-Infected Adults Receiving Antiretroviral Therapy with Sustained Long-Term Virological Suppression
Byakwaga, H; Murray, JM; Petoumenos, K; Kelleher, AD; Law, MG; Boyd, MA; Emery, S; Mallon, PW; Cooper, DA
AIDS Research and Human Retroviruses, 25(6): 569-576.
10.1089/aid.2008.0149
CrossRef
Antimicrobial Agents and Chemotherapy
Inhibition of Envelope-Mediated CD4(+)-T-Cell Depletion by Human Immunodeficiency Virus Attachment Inhibitors
Alexander, L; Zhang, SR; McAuliffe, B; Connors, D; Zhou, NN; Wang, T; Agler, M; Kadow, J; Lin, PF
Antimicrobial Agents and Chemotherapy, 53(): 4726-4732.
10.1128/AAC.00494-09
CrossRef
Hiv Medicine
Sub-optimal CD4 recovery on long-term suppressive highly active antiretroviral therapy is associated with favourable outcome
Onen, NF; Overton, ET; Presti, R; Blair, C; Powderly, WG; Mondy, K
Hiv Medicine, 10(7): 439-446.
10.1111/j.1468-1293.2009.00711.x
CrossRef
AIDS and Behavior
Mental Health Treatment to Reduce HIV Transmission Risk Behavior: A Positive Prevention Model
Sikkema, KJ; Watt, MH; Drabkin, AS; Meade, CS; Hansen, NB; Pence, BW
AIDS and Behavior, 14(2): 252-262.
10.1007/s10461-009-9650-y
CrossRef
Lancet
Life and death in the cART era
Cooper, DA
Lancet, 372(): 266-267.

Annals of Internal Medicine
Risk for opportunistic disease and death after reinitiating continuous antiretroviral therapy in patients with HIV previously receiving episodic therapy - a randomized trial
El-Sadr, WM; Grund, B; Neuhaus, J; Babiker, A; Cohen, CJ; Darbyshire, J; Emery, S; Lundgren, JD; Phillips, A; Neaton, JD
Annals of Internal Medicine, 149(5): 289-W62.

British Medical Journal
HIV infection, antiretroviral treatment, ageing, and non-AIDS related morbidity
Deeks, SG; Phillips, AN
British Medical Journal, 338(): -.
ARTN a3172
CrossRef
Journal of Clinical Investigation
Enhanced T cell recovery in HIV-1-infected adults through IL-7 treatment
Levy, Y; Lacabaratz, C; Weiss, L; Viard, JP; Goujard, C; Lelievre, JD; Boue, F; Molina, JM; Rouzioux, C; Avettand-Fenoel, V; Croughs, T; Beq, S; Thiebaut, R; Chene, G; Morre, M; Delfraissy, JF
Journal of Clinical Investigation, 119(4): 997-1007.
10.1172/JCI38052
CrossRef
Journal of Clinical Hypertension
Low Nadir CD4 Cell Count Predicts Sustained Hypertension in HIV-Infected Individuals
Manner, IW; Troseid, M; Oektedalen, O; Baekken, M; Os, I
Journal of Clinical Hypertension, 15(2): 101-106.
10.1111/jch.12029
CrossRef
Future Virology
Immunological nonresponse to antiretroviral drugs in HIV infection
Rusconi, S
Future Virology, 7(): 1145-1147.
10.2217/FVL.12.99
CrossRef
Hiv Clinical Trials
Immune Activation While on Potent Antiretroviral Therapy Can Predict Subsequent CD4+T-Cell Increases Through 15 Years of Treatment
Zhang, XY; Hunt, PW; Hammer, SM; Cespedes, MS; Patterson, KB; Bosch, RJ
Hiv Clinical Trials, 14(2): 61-67.
10.1310/hct1402-61
CrossRef
International Reviews of Immunology
Pathogenesis and Treatment of HIV Infection: The Cellular, the Immune System and the Neuroendocrine Systems Perspective
Chereshnev, VA; Bocharov, G; Bazhan, S; Bachmetyev, B; Gainova, I; Likhoshvai, V; Argilaguet, JM; Martinez, JP; Rump, JA; Mothe, B; Brander, C; Meyerhans, A
International Reviews of Immunology, 32(3): 282-306.
10.3109/08830185.2013.779375
CrossRef
Current Opinion in Hiv and AIDS
Study design issues in evaluating immune biomarkers
Bosch, RJ; Zhang, XY; Sandler, NG
Current Opinion in Hiv and AIDS, 8(2): 147-154.
10.1097/COH.0b013e32835d3259
CrossRef
AIDS
Efficacy and tolerability of initial antiretroviral therapy: a systematic review
Carr, A; Amin, J
AIDS, 23(3): 343-353.
10.1097/QAD.0b013e32831db232
PDF (203) | CrossRef
AIDS
Skewed T-cell maturation and function in HIV-infected patients failing CD4+ recovery upon long-term virologically suppressive HAART
Marchetti, G; Gazzola, L; Trabattoni, D; Bai, F; Ancona, G; Ferraris, L; Meroni, L; Galli, M; Clerici, M; Gori, A; d'Arminio Monforte, A
AIDS, 24(10): 1455-1460.
10.1097/QAD.0b013e328339cf40
PDF (220) | CrossRef
AIDS
Non-AIDS-defining deaths and immunodeficiency in the era of combination antiretroviral therapy
Marin, B; Thiébaut, R; Bucher, HC; Rondeau, V; Costagliola, D; Dorrucci, M; Hamouda, O; Prins, M; Walker, S; Porter, K; Sabin, C; Chêne, G
AIDS, 23(13): 1743-1753.
10.1097/QAD.0b013e32832e9b78
PDF (343) | CrossRef
AIDS
The role of HIV in serious diseases other than AIDS
Phillips, AN; Neaton, J; Lundgren, JD
AIDS, 22(18): 2409-2418.
10.1097/QAD.0b013e3283174636
PDF (248) | CrossRef
Current Opinion in Infectious Diseases
Cardiovascular disease and HIV infection: host, virus, or drugs?
Martínez, E; Larrousse, M; Gatell, JM
Current Opinion in Infectious Diseases, 22(1): 28-34.
10.1097/QCO.0b013e328320a849
PDF (122) | CrossRef
Current Opinion in Infectious Diseases
Should HIV therapy be started at a CD4 cell count above 350 cells/μl in asymptomatic HIV-1-infected patients?
Sabin, CA; Phillips, AN
Current Opinion in Infectious Diseases, 22(2): 191-197.
10.1097/QCO.0b013e328326cd34
PDF (119) | CrossRef
JAIDS Journal of Acquired Immune Deficiency Syndromes
Measurement of Naive CD4 Cells Reliably Predicts Potential for Immune Reconstitution in HIV
for the AIDS Clinical Trials Group (ACTG), ; Schacker, TW; Bosch, RJ; Bennett, K; Pollard, R; Robbins, GK; Collier, AC; Gulick, RM; Spritzler, J; Mildvan, D
JAIDS Journal of Acquired Immune Deficiency Syndromes, 54(1): 59-62.
10.1097/QAI.0b013e3181c96520
PDF (208) | CrossRef
JAIDS Journal of Acquired Immune Deficiency Syndromes
Poor Initial CD4+ Recovery With Antiretroviral Therapy Prolongs Immune Depletion and Increases Risk for AIDS and Non-AIDS Diseases
Baker, JV; Peng, G; Rapkin, J; Krason, D; Reilly, C; Cavert, WP; Abrams, DI; MacArthur, RD; Henry, K; Neaton, JD; for the Terry Beirn Community Programs for Clinical Research on AIDS (CPCRA),
JAIDS Journal of Acquired Immune Deficiency Syndromes, 48(5): 541-546.
10.1097/QAI.0b013e31817bebb3
PDF (936) | CrossRef
AIDS
AIDS-related and non-AIDS-related mortality in the Asia-Pacific region in the era of combination antiretroviral treatment
on behalf of the Australian HIV Observational Database, the TREAT Asia HIV Observational Database, ; Falster, K; Choi, JY; Donovan, B; Duncombe, C; Mulhall, B; Sowden, D; Zhou, J; Law, MG
AIDS, 23(17): 2323-2336.
10.1097/QAD.0b013e328331910c
PDF (11481) | CrossRef
Back to Top | Article Outline
Keywords:

AIDS; antiretroviral therapy; CD4 count; HIV morbidity and mortality; non-AIDS conditions

© 2008 Lippincott Williams & Wilkins, Inc.

Login

Search for Similar Articles
You may search for similar articles that contain these same keywords or you may modify the keyword list to augment your search.