Changes in total lymphocyte count as a surrogate for changes in CD4 count following initiation of HAART: implications for monitoring in resource-limited settings

BACKGROUND: A major obstacle to the administration of highly active antiretroviral therapy (HAART) in resource-limited settings is the high cost of CD4 count testing. The total lymphocyte count (TLC) has been proposed as a surrogate marker to monitor immune response to therapy. OBJECTIVE: To assess, in a developed country setting, the capability and clinical utility of TLC change as a surrogate marker for CD4 count change in monitoring patients on HAART. METHODS: Longitudinal co-variation between changes in TLC and concomitant changes in CD4 count following the initiation of HAART was examined using a retrospective cohort study of 126 HIV-positive patients attending The Miriam Hospital, Brown University, Providence, RI. Analyses included evaluation of the direction of TLC change as a marker for direction of CD4 change, using sensitivity and specificity; evaluation of absolute change in TLC as a marker for benchmark changes in CD4 (> or =50 over 6 months, > or =100 over 12 months), using receiver-operator characteristic (ROC) curves; and a regression model of change in TLC as a function of change in CD4, to understand within-individual variation of longitudinal TLC measures. RESULTS: In the first 24 months of HAART, the sensitivity of a TLC increase as a marker for CD4 count increase over the same time period ranged from 86-94%, and the specificity ranged from 80-85%. The median change in TLC among patients with a CD4 count rise of > or =100 cells/mm at 1 year of HAART was +766 cells/mm while that of patients with a CD4 count rise of <100 cells/m was +100 cells/mm. The area under the corresponding ROC curve was 0.89, suggesting that change in TLC discriminates well between those with 1-year CD4 change of > or =100 vs. those with change <+100. From a regression analysis, we found that mean change in TLC per 1 cell/mm change in CD4 count was 7.3 (SE 1.2, P < 0.001). The degree of this association varied from individual to individual but was positive for all individuals. CONCLUSIONS: Within the first 2 years of HAART, the direction of change in TLC appears to be a strong marker for direction of concomitant change in CD4 count (sensitivity 86-94% and specificity 80-85%, depending on length of interval). Positive and negative predictive values depend on the proportion of CD4 changes that are positive. In this cohort, that proportion is 87.9%, which yields high positive predictive value (96-98%) but lower negative predictive value (43-63%). Findings from the regression model suggest that taking multiple measurements of TLC at more frequent intervals may reduce variability and potentially improve predictive accuracy.     

Weight loss and disease progression in HIV infection

Weight loss and malnutrition continue to be important issues that clinicians face when treating patients with HIV infection. In addition to specific clinical consequences, weight loss in these patients is linked to a greater risk of death and opportunistic complications. A loss of as little as 5% to 1-% of baseline body weight can be associated with a risk of death that is 2.5 times that seen in patients with HIV infection who do not lose weight. Furthermore, weight loss in patients with HIV infection can increase the risk of individual opportunistic infections by as much as 61% to 176%. Future studies may help define the prognostic implications of lipodystrophy and changes in body cell mass in patients with HIV who are taking antiretroviral therapy.     

Surrogate markers for disease progression in treated HIV infection.

OBJECTIVE: To characterize the relationships among highly active antiretroviral therapy (HAART), HIV-1 RNA levels, immune system markers, and clinical outcome in a cohort of HIV-1-infected homosexual men. PATIENTS: A total of 123 men enrolled in the Amsterdam cohort study of HIV-1 infection and AIDS with a documented seroconversion for HIV-1 antibodies and known date of seroconversion were included in this study. METHODS: CD4 + /CD8 + T-cell counts and HIV-1 RNA levels in plasma were measured approximately every 6 months. Dates of starting and stopping antiretroviral therapy were also recorded. The relationship between HIV-1 RNA in plasma, CD4 + /CD8 + T-cell counts and HAART and their influence on clinical outcome were examined using a graphical chain modeling approach. Generalized estimating equations were used to examine correlations among the three disease markers. Hazards models with time-dependent covariates were used to examine the influence of HAART and the disease markers on progression to AIDS. RESULTS: HAART was significantly associated with reduced disease progression (relative hazard [RH] of AIDS, 0.20;, 95% confidence interval [CI], 0.05-0.85). The most recent HIV-1 RNA measurement and CD4 + T-cell count are independently associated with disease progression (adjusted RH for HIV-1 RNA 1.8 per log 10 increase; 95% CI, 1.2-2.6, p =.002; adjusted RH for CD4 + 0.48 per 100 x 10(6)/L increase; 95% CI, 0.40-0.58; p <.001). Depending on these measurements, HAART was no longer significantly associated with AIDS (adjusted RH, 0.81; 95% CI, 0.18-3.6; p =.78). CONCLUSIONS: HIV-1 RNA levels in plasma and CD4 + T-cell counts are currently considered as effective surrogate markers for the effect of HAART on disease progression in this cohort.     

Laboratory markers associated with progression of HIV infection

Infection with HIV may develop to AIDS at different rates in different individuals, with a spectrum varying from rapid progression to long term non-progression. The variable course of HIV-1 infection causes emotional trauma for the infected person and complicates the design and interpretation of therapeutic trials because of unrecognized differences in prognosis. Thus it is essential to have tests which can accurately assess the stage of infection in an individual, as well as predict its course and monitor its progression. These laboratory tests are very valuable during the period of clinical latency and subsequently supplement various clinical parameters.     

Total lymphocyte count of 1200 is not a sensitive predictor of CD4 lymphocyte count among patients with HIV disease in Kampala, Uganda

Introduction

Total Lymphocyte Count (TLC) has been found to be an inexpensive and useful marker for staging disease, predicting progression to AIDS and death and monitoring response to ART. However, the correlation between TLC and CD4 has not been consistent. Access to HAART is expanding in Kampala, Uganda, yet there are no published data evaluating the utility of TLC as inexpensive surrogate marker of CD4 cell count to help guide therapeutic decisions.

Objective

To evaluate clinical illnesses and total lymphocyte count (TLC) as surrogate markers of the CD4 cell count in HIV infected persons being considered for ART.

Methods

A total of 131 patients were enrolled and evaluated by clinical assessment, TLC and CD4 count. Clinical illnesses and TLC dichotomized at various cut-point values were used to determine the sensitivity, specificity, and positive and negative predictive values (PPV and NPV) for the diagnosis of CD4 count <200 cells/mm³ among 100 participants fulfilling criteria for WHO clinical stage 2 and 3.

Results

A strong correlation was observed between TLC and CD4 (r = 0.73, p<0.0001). For all clinical syndromes, except pulmonary tuberculosis, the positive predictive values (PPV) for a CD4 count <200 cells/mm³ were high (>80%) but the negative predictive values (NPV) were low. Using the WHO recommended TLC cut-off of 1200 cells/mm³ to diagnose a CD4 less than 200 cells/mm³, the PPV was 100%, and the NPV was 32%.

Conclusion

Our data showed a good correlation between TLC and CD4 cell count. However, the WHO recommended TLC cutoff of 1200 did not identify the majority of WHO stage 2 and 3 patients with CD4 counts less than 200 cells/mm³. A more rational use of TLC counts is to treat all patients with WHO stage 2 and 3 who have a TLC <1200 and to limit CD4 counts to patients who are symptomatic but have TLC of >1200.     

Predictors of disease progression in HIV infection: a review

During the extended clinically latent period associated with Human Immunodeficiency Virus (HIV) infection the virus itself is far from latent. This phase of infection generally comes to an end with the development of symptomatic illness. Understanding the factors affecting disease progression can aid treatment commencement and therapeutic monitoring decisions. An example of this is the clear utility of CD4+ T-cell count and HIV-RNA for disease stage and progression assessment.     

Genetic determinants of HIV-1 infection and progression to AIDS: susceptibility to HIV infection

Interindividual variability in susceptibility to HIV-1 infection, its transmission, disease progression, and response to antiviral therapy has been attributed to host determinants and variability in multiple genes. Although most people exposed to the virus go on to develop full-blown disease at variable intervals, a proportion of them, labeled as long-term nonprogressors or exposed uninfected, possess 'natural resistance' to infection. A better understanding of genetic and immunologic basis of such a natural resistance to infection would bear important implications in designing therapeutic vaccine designs. The genetic variants that could influence susceptibility to HIV-1 and limit AIDS vary in different populations and among individuals. Meta-analyses of large cohort studies have identified numerous 'AIDS restriction genes' that regulate HIV cell entry (particularly chemokine coreceptors and their ligands), acquired and innate immunity (major histocompatibility complex, killer cell immunoglobulin-like receptor, and cytokines), and others [tripartite interaction motif 5 α (TRIM5α) and apolipoprotein B mRNA-editing enzyme, catalytic polypeptide-like 3G] that influence outcome of HIV infection. Studies carried out in the Indian population with regard to genetic polymorphisms in chemokine receptors have shown that (i) the protective CCR5 Δ32 variant is rare, (ii) CCR5HHE carrying *59402A is associated with increased likelihood of infection and development of AIDS, and (iii) the Indian population generally has low CCL3L1 copy numbers (∼2.3). These data have implications in developing screening tests that could identify people at higher or lower risk of infection and rate of disease progression, predict vaccine responsiveness in clinical trials and understand the pathogenic mechanisms.     

Differential susceptibility of human lymphocyte cultures to infection by HIV.

We have assessed the ability of HIV to infect cultures of peripheral blood lymphocytes derived from different healthy donors, varying in age between 20 and 76. The results indicate that cells from all of these people can be infected, although the percentage of infected cells varied from case to case. A similar variation was observed when attempts were made to infect cells from the same donor on more than one occasion. In most cases, infection by HIV led to persistence of an activated cell state, as indicated by the presence of Tac Ag or IL-2 receptor, at the cell surface. Co-incubation of HIV-infected lymphocytes with uninfected cells did not affect the ability of the latter either to respond to phytohaemagglutinin (PHA) or to express Tac Ag.     

Chemokines and T lymphocyte recruitment to lymph nodes in HIV infection.

Recruitment of T lymphocytes to lymph nodes in patients with HIV infection is critical to the pathogenesis of disease. Chemokines are a family of cytokines, which are potent regulators of leukocyte migration. We studied the leukocyte populations and expression of chemokines known to be active upon T cells in lymph nodes of four HIV infected patients and seven control subjects using in situ hybridization, immunohistochemistry, and FACS analysis. The HIV lymph nodes showed CD8+ T lymphocyte accumulation and strongly enhanced chemokine expression, notably for the CD8+ T cell chemoattractant, macrophage inflammatory protein (MIP)-1 alpha. Resident macrophages appeared to be a major cellular source of chemokines in the HIV nodes. RANTES expression was present in both HIV and control lymph nodes, suggesting a physiological role for this chemokine in T lymphocyte recirculation. Chemokines may be important determinants of T lymphocyte accumulation in lymphoid tissue of patients with HIV/AIDS.     

Erythrocyte count and hemoglobin levels in diabetic women

Summary Fasting blood glucose, erythrocyte counts hemoglobin levels of 131 Libyan diabetic women of Tripoli, Libya were determined. The respective mean values were 223±7 mg·dl^–1, 4.97±0.034× 10⁶·mm^–3 and 14.4±0.127 g·dl^–1. Sixty-five percent of these diabetic women were obese. The highest percent of diabetics belong to the age group 46–55 years. The increase in prevalence of diabetes correlates with an increase in obesity.A significant positive correlation was found between body surface area and fasting blood glucose levels (r=0.65;P<0.001). Elevated levels of erythrocyte count and hemoglobin were present in these diabetic patients. Significant correlations were found between body surface area and erythrocyte count, as well as between fasting blood glucose levels and erythrocyte count, indicating the effect of obesity and diabetes on erythrocyte numbers.A significant correlation was found between fasting blood glucose levels and hemoglobin (r=0.35;P<0.001). The elevated levels of hemoglobin present in these patients may be the result of haemoconcentration due to polyuria, which is always present in poorly controlled diabetic patients.The results suggest a close relationship between diabetes and obesity. Regulation of body weight/surface area is an important factor in the control of diabetes. The elevated levels of erythrocyte count and hemoglobin reflect poor control of blood glucose levels in these diabetic patients.     

Diagnosis of HIV infection and laboratory monitoring of its therapy.

BACKGROUND: Serological diagnosis of human immunodeficiency virus (HIV) infection became available in 1985, with the rapid increase in sensitivity and specificity of enzyme-linked immunosorbent assays (ELISAs) and the supplement tests. Molecular tests for detection of HIV in the diagnosis of HIV infection in special settings and monitoring of HIV-1 infection followed this. OBJECTIVE AND DESIGN: In this review it is intended to give a brief overview of the diagnosis and monitoring of HIV infection. Results and conclusion: Serological methods and molecular methods for the detection and quantitation of HIV are discussed.     

慢性HIV/AIDS患者T淋巴细胞凋亡与疾病进展关系的研究

目的 探讨慢性未经抗病毒治疗的HIV/AIDS患者T淋巴细胞及各亚群凋亡与疾病进展的相关性.方法 以36例慢性未经抗病毒治疗的HIV/AIDS患者为研究对象,根据CD4细胞计数分为3组:<200个/μl组,200～350个/μl组,>350个/μl组,同时选取16例健康志愿者作对照,分离外周血单核细胞(PBMC)后,采用CD45RO及CD27标记T细胞亚群,Annexin V标记细胞凋亡,用流式细胞仪检测各项指标.其中4例患者及4例健康志愿者的PBMC在体外培养,比较分析体外培养0、3、6、12、24 h不同时间点T细胞凋亡的变化情况.结果 (1)HIV/AIDS患者CD4~+、CD8~+T细胞及各亚群上Annexin V表达百分比均显著高于健康人(P<0.05),但3组患者之间比较差异无统计学意义(P>0.05);(2)HIV/AIDS患者CD4~+、CD8~+T细胞及各业群上Annexin V表达百分比与CD4~+T细胞计数及病毒载显均无显著相关性(P>0.05);(3)随着体外细胞培养时间的延长,HIV/AIDS患者CD4~+T细胞的凋亡及死亡细胞百分比均显著高于健康人(P<0.05),并且HIV/AIDS患者CD4~+T细胞较CD8~+T细胞更易发生凋亡和死亡.结论 HIV/AIDS患者的T细胞凋亡水平显著高于健康人,并且CD4~+T细胞较CD8~+T细胞更易发生凋亡和死亡,但是T细胞凋亡水平与HIV的疾病进展程度并没有相关性.     

Complete blood cell count as a surrogate CD4 cell marker for HIV monitoring in resource-limited settings

BACKGROUND: A total lymphocyte count (TLC) of 1200 cells/mL has been used as a surrogate for a CD4 count of 200 cells/microL in resource-limited settings with varying results. We developed a more effective method based on a decision tree algorithm to classify subjects. METHODS: A decision tree was used to develop models with the variables TLC, hemoglobin, platelet count, gender, body mass index, and antiretroviral treatment status of subjects from the University of Alabama at Birmingham (UAB) observational database. Models were validated on data from the Birmingham Veterans Affairs Medical Center (BVAMC) and Zambia, with primary decision trees also generated from these data. RESULTS: A total of 1189 patients from the UAB observational database were included. The UAB decision tree classified a CD4 count < or =200 cells/microL as better than a TLC cut-point of 1200 cells/mL, based on the area under the curve of the receiver-operator characteristic curve (P < 0.0001). When applied to data from the BVAMC and Zambia, the UAB-based decision tree performed better than the TLC cut-point of 1200 cells/mL (BVAMC: P < 0.0001; Zambia: P = 0.0009) but worse than a decision tree based on local data (BVAMC: P < or = 0.0001; Zambia: P < or = 0.0001). CONCLUSION: A decision tree algorithm based on local data identifies low CD4 cell counts better than one developed from a different population or a TLC cut-point of 1200 cells/mL.