Immunologic Benefits of Enfuvirtide in Patients Enrolled in a Drug Assistance Program

2008 ◽  
Vol 42 (5) ◽  
pp. 621-626 ◽  
Author(s):  
Parya Saberi ◽  
Nikolai H Caswell ◽  
Cristina I Gruta ◽  
Jason N Tokumoto ◽  
Betty J Dong

Background: Randomized clinical trials have demonstrated that enfuvirtide plus an optimized background regimen can cause a significant increase in CD4+ cell counts and a reduction in HIV RNA levels. Objective: To describe and anaiyze CD4+ cell count and HIV RNA changes in HIV-infected patients receiving enfuvirtide and a prescribed background regimen (PBR) in a primarily clinical setting. Methods: A retrospective review from September 1998 through August 2005 of CD4+ cell counts and HIV RNA changes from baseline was conducted in patients receiving enfuvirtide. Data were stratified and analyzed according to baseline CD4+ cell count and HIV RNA. Results: A mean CD4+ cell count increase of approximately 102 cells/mm3 was observed, regardless of baseline CD4+ cell count, in 187 patients receiving enfuvirtide during a mean of 19.4 months of follow-up. During 3 years of follow-up, patients initiating enfuvirtide at CD4+ cell counts less than 100 cells/mm3 never achieved absolute CD4+ cell counts comparable to the counts in patients starting enfuvirtide at CD4+ cell counts of 100 cells/mm3 or more. In 38.3% of patients achieving an undetectable HIV RNA level, a mean CD4+ cell count increase of 185 cells/mm3 was observed. An unexpected finding was that a mean CD4+ cell count increase of 76 cells/mm3 occurred in 61.7% of patients not achieving complete viral suppression. Conclusions: Immunologic benefits were observed in subjects continuing enfuvirtide plus a PBR irrespective of baseline CD4+ cell count, complete viral suppression, or antiretroviral susceptibility data. Dala suggest that initiation of enfuvirtide at CD4+ cell counts greater than 100 celis/mm3 may be immunologically advantageous and independent of complete virologic response.

2021 ◽  
Author(s):  
Kingsley Kamvuma ◽  
Yusuf ademola ◽  
Warren Chanda ◽  
Christopher Newton Phiri ◽  
Sam Bezza Phiri ◽  
...  

Abstract Background: Human immunodeficiency virus (HIV) and M.tuberculosis are two intracellular pathogens that interact at the cellular, clinical and population levels. Since the recognition of AIDS in 1981, the number of reported cases of TB in the has increased substantially, especially in regions with high incidence of AIDS. The main aim of this study was to establish weather there is a relationship between sputum smear positives and low CD4 cell counts among HIV infected patients.Materials and methods: This was a retrospective study involving 473 participants. The patients recruited in this study were those who tested HIV positive and smear positive for TB. Their HIV status was determined by performing an HIV blood test, if they were HIV positive their CD4 cell count were then made.Results: This study examined the relation between smear positivity and low CD4 (below 200cells/µl) together with CD8 and CD3 markers as a measure of immune function among patients infected with HIV. The study participants’ constituted males 67% and females 33%. The overall mean age was 33.2 (SD 6.9) with the youngest and oldest participants being 18 and 60 respectively. It was found that smear positive results negatively (r=-0.13; p=0.021) correlated with CD4+ below 200 cells/µl. No correlation was observed between smear positives and CD8+ or CD3+ since the calculated correlation coefficient was not significant 0.007 (p=0.9) and 0.03 (p=0.6) respectively. There are more 3+ smear results below 200 cells/µl than the others while above 200 cells/µl 1+ was the most commonly reported smear result. The scanty smear positives were the least commonly reported result in the low and high CD4 counts. Conclusion: The smear positive result negatively correlated with a low CD4+ (r=-0.13; p=0.021) but no correlation with low CD+8 and CD+3 results was observed. The long held theory that low bacillary counts in patients with low CD4+ counts needs to be revisited. The reduction of CD4+ cell count parallels' that of the total lymphocyte count and is more marked in patients with high bacillary counts. Further, studies are required to confirm these findings


2011 ◽  
Vol 57 (5) ◽  
pp. 387-395 ◽  
Author(s):  
Hemant Kulkarni ◽  
Jason F Okulicz ◽  
Greg Grandits ◽  
Nancy F Crum-Cianflone ◽  
Michael L Landrum ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Belay Belete Anjullo ◽  
Derbachew Asfaw Teni

Background. Human immunodeficiency virus (HIV) is a major health problem in the world, and failure to implement prevention programs results in an increased number of infections among newborns. The goal of this study was to investigate the evolution and determinants of cluster of differentiation four (CD4) cell count among HIV-infected children who were under antiretroviral therapy (ART). Methods. We follow up a cohort of 201 children aged under fifteen years from October 2013 to March 2017 at Adama Hospital in Ethiopia. To get insight into the data, exploratory data analysis was performed on the change in the longitudinal CD4 cell count. Results. At the baseline, the average number of CD4 cell counts was 468.5 cells/mm3 of blood with a standard deviation of 319.11 cells/mm3. Here, we employed the random intercept and the random slope linear mixed-effects model to analyze the data. Among predictor variables, observation time, baseline age, WHO clinical stage, the history of tuberculosis (TB), and functional status were determinant factors for the mean change in the square root of the CD4 cell count. Conclusions. The finding revealed that the change in the square root of the CD4 cell count increases with an increment of age at diagnosis. Regarding WHO clinical stages of patients, those who were in stage III and stage IV of the HIV/AIDs disease stages relatively had lower CD4 cell counts than stage I patients. This shows the change in the square root of CD4 cell counts of stage III and stage IV patients was 6.43 and 9.28 times lower than stage I patients, respectively. Similarly, we noticed that observation time, the history of TB, and functional status were significantly associated with the mean change in the square root of the CD4 cell count.


Author(s):  
David S. LEWI ◽  
Jamal M. SULEIMAN ◽  
David E. UIP ◽  
Rogerio J. PEDRO ◽  
Rosa A. SOUZA ◽  
...  

Treatment with indinavir has been shown to result in marked decreases in viral load and increases in CD4 cell counts in HIV-infected individuals. A randomized double-blind study to evaluate the efficacy of indinavir alone (800 mg q8h), zidovidine alone (200 mg q8h) or the combination was performed to evaluate progression to AIDS. 996 antiretroviral therapy-naive patients with CD4 cell counts of 50-250/mm3 were allocated to treatment. During the trial the protocol was amended to add lamivudine to the zidovudine-containing arms. The primary endpoint was time to development of an AIDS-defining illness or death. The study was terminated after a protocol-defined interim analysis demonstrated highly significant reductions in progression to a clinical event in the indinavir-containing arms, compared to the zidovudine arm (p<0.0001). Over a median follow-up of 52 weeks (up to 99 weeks), percent reductions in hazards for the indinavir plus zidovudine and indinavir groups compared to the zidovudine group were 70% and 61%, respectively. Significant reductions in HIV RNA and increases in CD4 cell counts were also seen in the indinavir-containing groups compared to the zidovudine group. Improvement in both CD4 cell count and HIV RNA were associated with reduced risk of disease progression. All three regimens were generally well tolerated.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 878-878
Author(s):  
Julia Bohlius

Abstract Background: Following its introduction in 1996, combination antiretroviral therapy (cART) has led to a substantial reduction in HIV-associated morbidity and mortality. The decline has, however, been less pronounced for non-Hodgkin lymphoma (NHL) than for other HIV-related complications, and NHL has become the most common cancer associated with HIV. Within the framework of a large prospective European multi-cohort project, the Collaboration of Observational HIV Epidemiological Research Europe (COHERE), we studied the incidence and risk factors for the development and survival of NHL in HIV-infected patients in the cART era. Methods: We analyzed the data of HIV- infected adult patients (aged >16 years) who were cART naïve at inclusion and started cART after 01.01.1998, at a time when cART had become well established and widely used in Europe. cART was defined as a regimen of at least 3 antiretroviral drugs. Patients had to have CD4 count measurements available before the start of cART and the diagnosis of NHL. Patients developing NHL before receiving cART (“not on cART”) and patients developing NHL while receiving cART (“on cART”) were analyzed separately. Both patients with Primary Brain Lymphoma (PBL) and systemic NHL were included in the analysis. Incidence rates were calculated based on the Poisson distribution; risk factors were estimated using crude and adjusted Weibull models, with random effects to account for heterogeneity between cohorts. Models with time varying covariates were used to explore the effects of CD4 cell counts and plasma HIV-RNA loads over time. Survival was estimated using Kaplan-Meier life table probabilities, with 95% confidence intervals (95% CI). Results: For the incidence analysis 56,305 patients from 22 cohort studies across Europe with 212,042 person-years at risk were evaluated. The incidence for NHL (both systemic NHL and PBL) in patients not on cART was 519 (95% CI 448 to 602) per 100,000 personyears compared to 229 (95% CI 208 to 252) per 100,000 person-years in those on cART. The corresponding rates for PBL were 57 (95% CI 36 to 89) per 100,000 person-years and 24 (95% CI 18 to 33) per 100,000 person years. In cART naïve patients risk factors for NHL were older age and low CD4 cell count nadirs. When included as time up-dated variables, high plasma HIV-1 RNA loads and low CD4 cell counts emerged as important risk factors. In patients receiving cART risk factors included low CD4 cell count nadirs, older age, and groups associated with HHV-8 infection, i.e. men having sex with men and patients with a previous diagnosis of Kaposi Sarcoma. Time up-dated HIV-1 RNA plasma concentration and CD4 cell count were also associated with developing NHL while on cART. For the survival analysis 847 NHL patients were eligible. Of those, 364 (43%) were cART naïve at diagnosis of NHL. After one year 66% (95% CI 63%–70%) of patients with systemic NHL and 54% (95% CI 43%–65%) of patients with PBL were alive. Risk factors for death were diagnosis of PBL, low CD4 cell count nadir and history of injection drug use. Conclusions: Combined anti-retroviral therapy reduces the risk of developing NHL. In the era of cART more advanced immunodeficiency is the dominant risk factors for developing NHL both in patients receiving and not receiving cART. Two thirds of patients diagnosed with HIV-related NHL other than PBL survive for longer than one year after diagnosis. Survival is poorer in patients diagnosed with PBL.


2014 ◽  
Vol 11 (1) ◽  
pp. 21 ◽  
Author(s):  
Monica Basso ◽  
Marzia Franzetti ◽  
Renzo Scaggiante ◽  
Andrea Sattin ◽  
Carlo Mengoli ◽  
...  

2019 ◽  
pp. 10-14

Background of Study: Malnutrition is associated with repeated opportunistic infections, rapid disease progression, and an increase in the incidence of human immunodeficiency virus (HIV) related mortality. The ability of anti-retroviral therapy (ART) in boosting the immune system depends on the nutritional status of the HIV patient. Aim: The study aimed at investigating the protein status and CD4+ cell counts in HIV patients taking highly active ART. Materials and Methods: The case-control study comprising of a total of 80 participants, compared the protein status and CD4+ cell count among baseline (ART-naïve n=20), switch (ART-resistant n=20), ART follow-up (n=20) patients, and apparently healthy controls (n=20). Results: The total protein of baseline patients was significantly (P<0.01) higher than that of the switch, follow-up, and controls. The CD4+ cell count of baseline patients was significantly (P=0.000) low compared to follow-up patients and controls. Total protein level and CD4+ cell count of switch patients were significantly (P=0.000) lower than that of follow-up patients and controls. Total protein of follow-up patients was significantly (P<0.02) higher than that of controls, while the CD4+ cell count of follow-up patients was significantly (P=0.000) lower than that of controls. Conclusion: The present study observed low protein along with low CD4+ cell count in switch patients, while a good outcome was observed in follow up patients.


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