Changes in Total Lymphocyte Count as a Surrogate for Changes in CD4 Count Following Initiation of HAART: Implications for Monitoring in Resource-Limited Settings

Development and Validation of a Three-Parameter Scoring System for Monitoring HIV/AIDS Patients in Low-Resource Settings Using Hematological Parameters

Objective

This study aimed to test the validity of a composite score using complete blood count (CBC) for monitoring HIV patients receiving antiretroviral therapy (ART) in the absence of viral load and CD4 count.

Methods

This retrospective cohort study analyzed the laboratory data of 82 HIV patients who had pre- and post-treatment viral load, CD4 count, and CBC data. Pre- and post-treatment data were pooled to analyze the correlation of CBC parameters with Polymerase Chain Reaction (PCR) ranks and their performance in indicating a CD4 count<200 cells/mm3 using the Operating Characteristics Curve (ROC), with the determination of cutoffs. A score combining the significant parameters was tested to predict a CD4 count of <200.

Results

Total lymphocyte count (TLC), percentage (TLP), and hemoglobin concentration (Hb) were the most significant parameters, showing negative correlations with PCR (Spearman's Rho = -0.357 to -0.242). The risk of acquired immunodeficiency syndrome (AIDS) was independently associated with TLC<1345 cells/mm3 (OR=2.92), TLP<29.07% (OR=3.53), and Hb<10.55 mg/dL (OR=3.60). A combined score of 2-3 indicated a CD4 count<200 with an odds ratio of 8.3-86.7.

Conclusion

The proposed 3-parameter score combining the use of TLC, TLP, and Hb, is an affordable and practical approach that may have clinical utility in monitoring HIV patients receiving ART in low-resource settings.

CD4+ and CD8+ cell counts are significantly correlated with absolute lymphocyte count in hospitalized COVID-19 patients: a retrospective study

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a contagious respiratory illness that was declared a pandemic in March 2020. Lymphopenia is one of the specific laboratory results disturbance in COVID-19 patients. Such findings are frequently associated with substantial changes in T-cell counts, particularly CD4+ and CD8+ T-cells. This study aimed to examine the correlation between CD4+ and CD8+ cell counts and absolute lymphocyte count (ALC) in COVID-19 patients and analyze its difference based on the COVID-19 patients' severity.

METHODS

From March 2022 to May 2022, we conducted a retrospective cohort study using medical records and laboratory data from patients diagnosed with COVID-19 at our hospital who met the inclusion and exclusion criteria. The total sampling method was used to recruit study participants. We conducted bivariate analysis, which consisted of correlation and comparative analysis.

RESULTS

Thirty-five patients met the inclusion and exclusion criteria and were divided into two severity groups (mild-moderate and severe-critical). The findings of this study revealed a significant correlation between CD4+ cell count and ALC on admission (r = 0.69, p < 0.001) and the tenth day of onset (r = 0.559, p < 0.001). Similarly, there was a correlation between CD8+ and ALC at admission (r = 0.543, p = 0.001) and on the tenth day of onset (r = 0.532, p = 0.001). Individuals with severe-critical illness had lower ALC, CD4+, and CD8+ cell counts than those with mild-moderate illness.

CONCLUSION

According to the findings of this study, there is a correlation between CD4+ and CD8+ cell counts and ALC in COVID-19 patients. All lymphocyte subsets also showed a lower value in severe forms of the disease.

Clinical spectrum of renal disease in hospitalized HIV/AIDS patients: A teaching hospital experience

Background:

Renal involvement in HIV patients is relatively common and quite broad. However, despite an increasingly large number of HIV patients in Asia, systematic studies of renal involvement are lacking.

Objectives:

The study was carried out to delineate the clinical spectrum of renal disease in HIV/AIDS patients hospitalised in a tertiary care centre.

Patients and Methods:

A total of 510 consecutive hospitalised HIV/AIDS with age >18years were included in the study. Detailed demographic, clinical and laboratory data including urinalysis was obtained from all participants.

Results:

Electrolyte disorders were seen in 71% of patients, with the most frequent being hyponatremia (61%). Acute renal failure was seen in 15.8% and CKD was found in 13% of HIV patients. Dipstick proteinuria of grade ≥1+ was seen in 147 patients (29% of total). CD4 count had a significant positive correlation with creatinine clearance, hyponatremia and total leukocyte count, and significant negative correlation with duration of disease and proteinuria.

Conclusion:

Electrolyte disorders and renal involvement are quite common in HIV/AIDS patients from India. Prompt diagnosis and management is required as their presence carry higher morbidity and mortality.

Total Lymphocyte Count and Haemoglobin Concentration Combined as a Surrogate Marker for Initiating Highly Active Antiretroviral Therapy in a Resource-limited Setting as against CD4 Cell Count

AIM

To find a sensitive and low-cost surrogate marker for CD4 count for initiating highly active antiretroviral therapy (HAART) [CD4 < 200 /mm3], in the form of total lymphocyte count (TLC) < 1200 /mm3 combined with haemoglobin (Hb) with multiple Hb cut-offs.

METHOD

Two hundred and three consecutive treatment-naïve adult HIV positive outpatients attending the virology clinic in World Health Organization (WHO) clinical stage 1, 2 or 3 were enrolled in the study. Their complete blood counts and CD4 counts were done. Descriptive statistics was done by two methods correlating TLC alone with CD4 and the other using combined marker of TLC and Hb with CD4 count.

RESULT

Total lymphocyte count alone did not correlate well with CD4 counts (r = 0.13; p = 0.065). Sensitivity of TLC < 1200 /mm3 to predict CD4 < 200 /mm3 was low (23.27%) and the sensitivity of the combined marker (TLC + Hb) increased with higher Hb cut-offs.

CONCLUSION

Adding Hb to TLC markedly improved the sensitivity of the marker to predict CD4 count < 200/mm3. We also recommend a trade-off Hb cut-off of 10.5 g/dL for optimum sensitivity and specificity in this population subset.

Safety and effectiveness of HAART in tuberculosis-HIV co-infected patients in Brazil

BACKGROUND

Antiretroviral therapy (ART) significantly reduces tuberculosis (TB) incidence among persons with human immunodeficiency virus (HIV), but the safety and effectiveness of concomitant treatment for both diseases remain unclear.

OBJECTIVE

To evaluate the impact of ART and anti-tuberculosis treatment on survival and risk of adverse events (AE) among co-infected individuals.

METHODS

In a retrospective cohort study, clinical data were collected from 618 TB-HIV patients treated with rifampin, isoniazid and pyrazinamide ± ethambutol between 1 January 1995 and 31 December 2003. Patients were categorized into two groups: highly active ART (HAART) or no ART. Different HAART regimens were evaluated. Bivariate analysis, multivariate logistic regression and survival analysis using Cox proportional hazards regression were used.

RESULTS

One-year mortality was lower for patients receiving HAART (adjusted hazard ratio [aHR] 0.17, 95%CI 0.09-0.31) compared to no ART. HAART increased the risk of AE (aHR 2.08, 95%CI 1.29-3.36). The odds of AE when receiving a ritonavir + saquinavir HAART regimen was eight-fold higher compared to no ART (OR 8.31, 95%CI 3.04-22.69), while efavirenz-based HAART was not associated with a significantly increased risk of AE (OR 1.42, 95%CI 0.76-2.65).

CONCLUSION

HIV patients with TB have significantly better survival if they receive HAART during anti-tuberculosis treatment. Efavirenz-based HAART is associated with fewer AEs than protease inhibitor-based HAART.

Total lymphocyte count is a reliable surrogate marker for CD4 cell counts after the first year of antiretroviral therapy: data from an Indonesian cohort study

Many studies have evaluated the total lymphocyte count (TLC) as a cheap surrogate marker for CD4 cells in HIV-infected patients not receiving antiretroviral therapy (ART). We assessed whether TLC can replace CD4 cell counts in evaluating the immunological response to ART. In a cohort of patients in Indonesia TLC, if measured after at least 1-year ART, correctly identified patients with <200 CD4 cells, and reliably excluded immunological failure, obviating the need for CD4 cell measurement in 43% of patients.

Prioritizing CD4 count monitoring in response to ART in resource-constrained settings: a retrospective application of prediction-based classification

BACKGROUND

Global programs of anti-HIV treatment depend on sustained laboratory capacity to assess treatment initiation thresholds and treatment response over time. Currently, there is no valid alternative to CD4 count testing for monitoring immunologic responses to treatment, but laboratory cost and capacity limit access to CD4 testing in resource-constrained settings. Thus, methods to prioritize patients for CD4 count testing could improve treatment monitoring by optimizing resource allocation.

METHODS AND FINDINGS

Using a prospective cohort of HIV-infected patients (n=1,956) monitored upon antiretroviral therapy initiation in seven clinical sites with distinct geographical and socio-economic settings, we retrospectively apply a novel prediction-based classification (PBC) modeling method. The model uses repeatedly measured biomarkers (white blood cell count and lymphocyte percent) to predict CD4(+) T cell outcome through first-stage modeling and subsequent classification based on clinically relevant thresholds (CD4(+) T cell count of 200 or 350 cells/µl). The algorithm correctly classified 90% (cross-validation estimate=91.5%, standard deviation [SD]=4.5%) of CD4 count measurements <200 cells/µl in the first year of follow-up; if laboratory testing is applied only to patients predicted to be below the 200-cells/µl threshold, we estimate a potential savings of 54.3% (SD=4.2%) in CD4 testing capacity. A capacity savings of 34% (SD=3.9%) is predicted using a CD4 threshold of 350 cells/µl. Similar results were obtained over the 3 y of follow-up available (n=619). Limitations include a need for future economic healthcare outcome analysis, a need for assessment of extensibility beyond the 3-y observation time, and the need to assign a false positive threshold.

CONCLUSIONS

Our results support the use of PBC modeling as a triage point at the laboratory, lessening the need for laboratory-based CD4(+) T cell count testing; implementation of this tool could help optimize the use of laboratory resources, directing CD4 testing towards higher-risk patients. However, further prospective studies and economic analyses are needed to demonstrate that the PBC model can be effectively applied in clinical settings. Please see later in the article for the Editors' Summary.

Comparing absolute lymphocyte count to total lymphocyte count, as a CD4 T cell surrogate, to initiate antiretroviral therapy

Background:

The high cost of CD4 count estimation in resource-limited settings is a major obstacle in initiating patients on highly active antiretroviral therapy (HAART). Thus, there is a need to evaluate other less expensive surrogate markers like total lymphocyte count (TLC) and absolute lymphocyte count (ALC).

Objectives

To evaluate the correlation of TLC and ALC to CD4 count. To determine a range of TLC and ALC cut-offs for initiating HAART in HIV-infected patients in resource-limited settings.

Materials and Methods:

In a prospective observational cohort study of 108 ART-naive HIV-positive patients, Spearman correlation between ALC and CD4 cell count, and TLC and CD4 cell count were assessed. Sensitivity, specificity, positive and negative predictive values of various ALC and TLC cut-offs were computed for CD4 count <200 cells/cu.mm.

Results:

Good correlation was noted between ALC and CD4 (r=0.5604) and TLC and CD4 (r=0.3497). ALC of 1400 cells/cu.mm had a sensitivity of 71.08% and specificity of 78.26% for predicting CD4 cell counts less than 200 cells/cu.mm. Similarly, TLC of 1200 cells/cu.mm had a sensitivity of 63.41% and specificity of 69.57%.

Conclusion:

Either ALC or TLC may be helpful in deciding when to initiate antiretroviral therapy in resource-poor settings, though ALC is better than TLC as a surrogate for CD4 counts.

Utility of total lymphocyte count as a surrogate marker for CD4 counts in HIV-1 infected children in Kenya

Background

In resource-limited settings, such as Kenya, access to CD4 testing is limited. Therefore, evaluation of less expensive laboratory diagnostics is urgently needed to diagnose immuno-suppression in children.

Objectives

To evaluate utility of total lymphocyte count (TLC) as surrogate marker for CD4 count in HIV-infected children.

Methods

This was a hospital based retrospective study conducted in three HIV clinics in Kisumu and Nairobi in Kenya. TLC, CD4 count and CD4 percent data were abstracted from hospital records of 487 antiretroviral-naïve HIV-infected children aged 1 month - 12 years.

Results

TLC and CD4 count were positively correlated (r = 0.66, p < 0.001) with highest correlation seen in children with severe immuno-suppression (r = 0.72, p < 0.001) and children >59 months of age (r = 0.68, p < 0.001). Children were considered to have severe immuno-suppression if they met the following WHO set CD4 count thresholds: age below 12 months (CD4 counts < 1500 cells/mm³), age 12-35 months (CD4 count < 750 cells/mm3), age 36-59 months (CD4 count < 350 cells/mm³, and age above 59 months (CD4 count < 200 cells/mm³). WHO recommended TLC threshold values for severe immuno-suppression of 4000, 3000, 2500 and 2000 cells/mm³ for age categories <12, 12-35, 36-59 and >59 months had low sensitivity of 25%, 23%, 33% and 62% respectively in predicting severe immuno-suppression using CD4 count as gold standard. Raising TLC thresholds to 7000, 6000, 4500 and 3000 cells/mm³ for each of the stated age categories increased sensitivity to 71%, 64%, 56% and 86%, with positive predictive values of 85%, 61%, 37%, 68% respectively but reduced specificity to 73%, 62%, 54% and 68% with negative predictive values of 54%, 65%, 71% and 87% respectively.

Conclusion

TLC is positively correlated with absolute CD4 count in children but current WHO age-specific thresholds had low sensitivity to identify severely immunosuppressed Kenyan children. Sensitivity and therefore utility of TLC to identify immuno-suppressed children may be improved by raising the TLC cut off levels across the various age categories.

Total lymphocyte count is a good marker for HIV-related mortality and can be used as a tool for starting HIV treatment in a resource-limited setting

OBJECTIVES

Total lymphocyte counts (TLC) may be used as an alternative for CD4 cell counts to monitor HIV infection in resource-limited settings, where CD4 cell counts are too expensive or not available.

METHODS

We used prospectively collected patient data from an urban HIV clinic in Indonesia. Predictors of mortality were identified via Cox regression, and the relation between TLC and CD4 cell counts was calculated by linear regression. Receiver operating characteristics (ROC) curves were used to choose the cut-off values of TLC corresponding with CD4 cell counts <200 and ≤350 cells/μl. Based on these analyses, we designed TLC-based treatment algorithms.

RESULTS

Of 889 antiretroviral treatment (ART)-naïve subjects included, 66% had CD4 cell counts <200 and 81% had 350 ≤ cells/μl at baseline. TLC and CD4 cell count were equally strong predictors of mortality in our population, where ART was started based on CD4 cell count criteria. The correlation coefficient (R) between TLC and √CD4 was 0.70. Optimal cut-off values for TLC to identify patients with CD4 cell counts <200 and ≤350 cells/μl were 1500 and 1700 cells/μl, respectively. Treatment algorithms based on a combination of TLC, gender, oral thrush, anaemia and body mass index performed better in terms of predictive value than WHO staging or TLC alone. In our cohort, such an algorithm would on average have saved $14.05 per patient.

CONCLUSION

Total lymphocyte counts is a good marker for HIV-associated mortality. Simple algorithms including TLC can prioritize patients for HIV treatment in a resource-limited setting, until affordable CD4 cell counts will be universally available.

Correlation of CD4+ T cell Count with Total Lymphocyte Count, Haemoglobin and Erythrocyte Sedimentation Rate Levels in Human Immunodeficiency Virus Type-1 Disease

BACKGROUND

Studies in human immunodeficiency virus (HIV) infected adults have demonstrated association of total lymphocyte count (TLC) <1200/mm (3) and subsequent disease progression or mortality. The association of other surrogate makers such as haemoglobin (Hb), and erythrocyte sedimentation rate (ESR) with CD4 count and disease progression has also been suggested. This study was carried out to determine the relationship of CD4-positive T lymphocyte counts with TLC, Hb and ESR in HIV-infected individuals.

METHODS

The study population comprised of 215 antiretroviral treatment naïve HIV-1 infected adults. The CD4 positive T cell counts, TLC, Hb and ESR of study participants were measured. Spearman's rank order correlation and Receiver Operating Characteristic were used for statistical analyses.

RESULT

The sensitivity, specificity, positive and negative likelihood ratios for cut-off value of TLC <1200/mm (3) for predicting CD4 counts <200 cells/mm (3) and <350 cells/mm (3) were 9.4 %, 100 %, not measurable and 1.1, and 6.1 %, 98.8 %, 5.13 and 0.95, respectively. The association of Hb (<10,11,12 g/dl and <10,12,14 g/dl for CD4 counts <200 cells/mm (3) and <350 cells/mm (3) , respectively), and ESR (<10, 20 and 30 mm fall after 1 hour) with these two CD4 counts cut-off values were suboptimal.

CONCLUSION

This study reveals the poor association of TLC, Hb, and ESR with CD4 counts in HIV infected adults, thus highlighting the need to review the utility of these surrogate markers, for predicting CD4 counts in people living with HIV/AIDS.

Use of total lymphocyte count to predict absolute CD4 count in HIV-seropositive cases

We conducted an observational study to assess the use of total lymphocyte counts (TLC) alone and along with hemoglobin (Hb) as a predictor of CD4 count. A total of 103 antiretroviral therapy (ART)-naive HIV-1-infected patients were enrolled and divided in 2 groups (with CD4 count <200 cells/mm(3) and CD4 count ≥200 cells/mm(3)). The TLC and Hb were performed by automatic full digital cell counter. CD4 count was determined by flow cytometry. Among the World Health Organization (WHO) clinical stages 2 and 3, in the cases with CD4 count <200 cells/mm(3), 70.4% cases had TLC ≤1200 cells/mm( 3), whereas 63% cases had TLC ≤1200 cells/mm(3) + Hb ≤12 g/dL. In the cases with CD4 count >200 cells/mm(3), 2% cases had TLC ≤1200 cells/mm(3), whereas adding Hb ≤12 g/dL with TLC ≤1200 cells/mm(3), none of the cases would require initiation of ART. TLC + Hb can be used to treat all HIV-infected patients with WHO stages 2 and 3 who have a TLC <1200 cells/mm(3) + Hb ≤12 g/dL and to limit CD4 counts to patients who are symptomatic but have TLC + Hb values other than TLC <1200 cells/mm(3) + Hb ≤12 g/dL.

Prediction based classification for longitudinal biomarkers

Assessment of circulating CD4 count change over time in HIV-infected subjects on antiretroviral therapy (ART) is a central component of disease monitoring. The increasing number of HIV-infected subjects starting therapy and the limited capacity to support CD4 count testing within resource-limited settings have fueled interest in identifying correlates of CD4 count change such as total lymphocyte count, among others. The application of modeling techniques will be essential to this endeavor due to the typically non-linear CD4 trajectory over time and the multiple input variables necessary for capturing CD4 variability. We propose a prediction based classification approach that involves first stage modeling and subsequent classification based on clinically meaningful thresholds. This approach draws on existing analytical methods described in the receiver operating characteristic curve literature while presenting an extension for handling a continuous outcome. Application of this method to an independent test sample results in greater than 98% positive predictive value for CD4 count change. The prediction algorithm is derived based on a cohort of n = 270 HIV-1 infected individuals from the Royal Free Hospital, London who were followed for up to three years from initiation of ART. A test sample comprised of n = 72 individuals from Philadelphia and followed for a similar length of time is used for validation. Results suggest that this approach may be a useful tool for prioritizing limited laboratory resources for CD4 testing after subjects start antiretroviral therapy.

Provider-initiated HIV testing in health care settings: should it include client-centered counselling?

To increase access to HIV testing, the WHO and CDC have recommended implementing provider-initiated HIV testing (PITC). To address the resource limitations of the PITC setting, WHO and CDC suggest that patient-provider interactions during PITC may need to focus on providing information and referrals, instead of engaging patients in client-centered counselling, as is recommended during client-initiated HIV testing. Providing HIV prevention information has been shown to be less effective than client-centered counselling in reducing HIV-risk behaviour and STI incidence. Therefore, concerns exist about the efficacy of PITC as an HIV prevention approach. However, reductions in HIV incidence may be greater if more people know their HIV status through expanded availability of PITC, even if PITC is a less effective prevention intervention than is client-initiated HIV testing for individual patients. In the absence of an answer to this public health question, adaptation of effective brief client-centered counselling approaches to PITC should be explored along with research assessing the efficacy of PITC.

An algorithm to optimize viral load testing in HIV-positive patients with suspected first-line antiretroviral therapy failure in Cambodia

OBJECTIVE

To develop an algorithm for optimal use of viral load testing in patients with suspected first-line antiretroviral treatment (ART) failure.

METHODS

Data from a cohort of patients on first-line ART in Cambodia were analyzed in a cross-sectional way to detect markers for treatment failure. Markers with an adjusted likelihood ratio <0.67 or >1.5 were retained to calculate a predictor score. The accuracy of a 2-step algorithm based on this score followed by targeted viral load testing was compared with World Health Organization criteria for suspected treatment failure.

RESULTS

One thousand eight hundred three viral load measurements of 764 patients were available for analysis. Prior ART exposure, CD4 count below baseline, 25% and 50% drop from peak CD4 count, hemoglobin drop of > or =1 g/dL, CD4 count <100 cells per microliter after 12 months of treatment, new onset of papular pruritic eruption, and visual analog scale <95% were included in the predictor score. A score >or=2 had the best combination of sensitivity and specificity and required confirmatory viral load testing for only 9% of patients. World Health Organization criteria had a similar sensitivity but a lower specificity and required viral load testing for 24.9% of patients.

CONCLUSION

An algorithm combining a predictor score with targeted viral load testing in patients with an intermediate probability of failure optimizes the use of scarce resources.

Criteria for initiating highly active antiretroviral therapy and short-term immune response among HIV-1-infected patients in Côte d'Ivoire

OBJECTIVES

The aims of this study were to determine the predictors of CD4 count below 200 cells/microL and to propose an algorithm for antiretroviral therapy initiation; and to assess the determinants of immune response to highly active antiretroviral therapy (HAART) in Côte d'Ivoire.

METHODS

A total of 615 consecutive patients attending an HIV/AIDS day hospital were enrolled in the study. We constructed a score system based on the results of a multivariate logistic regression analysis of the predictors of CD4 count <200 cells/microL with the intention of proposing an algorithm able to accurately designate patients eligible for HAART. We also identified factors associated with a short-term increase in CD4 count >50 cells/microL after HAART initiation.

RESULTS

Total lymphocyte count <1200 cells/microL (P<0.0001), lower haemoglobin levels (P<0.0001), and Centers for Disease Control and Prevention (CDC) clinical stages C (P=0.005) and B (P=0.045), as compared with stage A, were associated with CD4 count <200 cells/microL. Nonetheless, no accurate algorithm for HAART initiation was found. Three hundred and three of the 615 patients were treated. Of these 303 patients, 79.5% showed an increase of >50 cells/microL in CD4 count 6 months after HAART initiation (median increase 128 cells/microL). Adherence >or=95% (P=0.022) and increase in absolute total lymphocyte count during follow-up (P<0.0001) were associated with a short-term positive immune response.

CONCLUSIONS

Our results support the effectiveness of generic drug combinations in sub-Saharan Africa. In order to enhance the management of HIV disease in sub-Saharan Africa, efforts should target the development of low-cost CD4 cell count laboratory tests.

Use of surrogate markers to predict the HIV disease stage and time to initiate antiretroviral therapy in developing countries

CD4 counting is the standard method for determining eligibility for antiretroviral therapy (ART) and HIV disease progression, but it is not widely available in developing countries. The aim of this study was to correlate the levels of beta-2 microglobulin and total lymphocyte count (TLC) with CD4 counts for monitoring disease progression and identify patients who require ART. The authors measured CD4 T-cell counts, TLC, and beta-2 microglobulin levels in 119 HIV seropositive patients. There was a significant negative correlation between CD4 counts and beta-2 microglobulin levels and significant positive correlation between TLC and CD4 counts. Taking a TLC cutoff of < or = 1600 and beta-2 microglobulin levels > or = 3.5 mg/l, the authors could identify 90.4% of patients with CD4 count < or = 200 cells/microl. These assays may allow reduction in the annual number of CD4 cell evaluation and the cost associated with monitoring the immune status of HIV-positive patients.

CD4+ T-lymphocytes natural decrease in HAART-naïve HIV-infected adults in Abidjan

OBJECTIVE

To study the CD4 natural decrease and its determinants in sub-Saharan African HIV-infected adults.

METHOD

We performed a 7-year prospective cohort study, with biannual CD4 measurement. Follow-up was censored at the first severe morbidity event or at HAART initiation. Changes in CD4 values were studied by jointly modelling (a) the correlation between repeated measures through a linear mixed model and (b) the time to drop-out through a survival model.

RESULTS

690 patients were followed up during 1,382 person-years. Contrasting with the baseline CD4 count and percentage, which were associated with numerous variables, the slopes of both CD4 count and CD4 percentage in the absence of severe morbidity episode were only associated with the follow-up time and with the baseline body mass index (BMI). The mean annual natural decrease in CD4 count (CD4%) was estimated at -81/mm3 (-2.2%), -69/mm3 (-1.7%), and -55/mm3 (-1.2%) for patients with baseline BMI at 16 kg/m2, 20.4 kg/m2, and 25 kg/m2, respectively (p < .001). A steeper decline in the CD4 count was independently associated with a shorter event-free follow-up time.

CONCLUSION

These estimates of the CD4 natural decrease in sub-Saharan African patients, while they did not experience any episode of severe morbidity and before they initiate HAART, are in the bracket of those previously reported in industrialized countries. In sub-Saharan African settings with CD4 count being measured less frequently than in industrialized countries, the CD4 should be monitored more closely among adults with low BMI.

Predicting CD4 lymphocyte count <200 cells/mm(3) in an HIV type 1-infected African population

Clinical criteria are recommended to select HIV-infected patients for initiation of antiretroviral therapy when CD4 lymphocyte testing is unavailable. We evaluated the performance characteristics of WHO staging criteria, anthropometrics, and simple laboratory measurements for predicting CD4 lymphocyte count (CD4 count) <200 cells/mm(3) among HIV-infected patients in Tanzania. A total of 202 adults, diagnosed with HIV infection through community-based testing, underwent a detailed evaluation including staging history and examination, anthropometry, complete blood count, erythrocyte sedimentation rate (ESR), and CD4 count. Univariable analysis and recursive partitioning were used to identify characteristics associated with CD4 count 200 cells/mm(3). Of 202 participants 109 (54%) had a CD4 count <200 cells/mm(3). Characteristics most strongly associated with CD4 count <200 cells/mm(3) (p-value <0.0001) were the presence of mucocutaneous manifestations (72% vs. 28%), lower total lymphocyte count (TLC) (median 1,450 vs. 2,200 cells/mm(3)), lower total white blood cell count (median 4,200 vs. 5,500 cells/mm(3)), and higher ESR (median 95 vs. 53 mm/h). In a partition tree model, TLC <1,200 cells/mm(3), ESR >or=120 mm/h, or the presence of mucocutaneous manifestations yielded a sensitivity of 0.85 and specificity of 0.63 for predicting CD4 count <200 cells/mm(3). The sensitivity of the 2006 WHO Staging system improved from 0.75 to 0.93 with inclusion of these parameters, at the expense of specificity (0.36 to 0.26). The presence of mucocutaneous manifestations, TLC <1,200 cells/mm(3), or ESR >or=120 mm/h was a strong predictor of CD4 count <200 cells/mm(3) and enhanced the sensitivity of the 2006 WHO staging criteria for identifying patients likely to benefit from antiretrovirals.

Audit of pneumocystis pneumonia in patients seen by the Christchurch Hospital rheumatology service over a 5-year period

AIM

The aim of the study was to review all cases of Pneumocystis carinii pneumonia (PCP) in patients seen by the Christchurch Hospital Rheumatology service over a 5-year period and to determine the annual incidence of PCP.

METHODS

The Canterbury Health Laboratory database was searched for rheumatology patients testing positive for PCP from 31 December 2000 to 31 December 2005. The rheumatology database was then searched to identify patients receiving the same immunosuppressant medication as those who developed PCP to determine the annual incidence of PCP in this group.

RESULTS

Four rheumatology patients were diagnosed with PCP during the 5-year period. Two were receiving oral methotrexate (MTX) for rheumatoid arthritis and two were receiving cyclophosphamide (CYC), one each for Wegener's granulomatosis and dermatomyositis. None of the four cases was receiving PCP chemoprophylaxis. Five hundred and forty-seven patients commenced MTX over the same 5-year period and 47 commenced CYC. Only 14 of 47 (29.7%) CYC-treated patients received PCP prophylaxis. The annual incidence of PCP was 0.17% (95% confidence interval (CI) 0.02-0.63) and 5.33% (95%CI 0.65-19.24) in patients prescribed MTX and CYC, respectively. For the 33 patients receiving CYC without concomitant PCP prophylaxis the annual incidence was 9.50% (95%CI 1.15-34.33).

CONCLUSION

In our study the annual incidence of PCP in patients taking MTX was low and would not support the use of routine PCP chemoprophylaxis. In patients receiving CYC without concomitant PCP chemoprophylaxis the annual incidence of PCP was higher although the number of cases was small. Given the high morbidity and mortality in this group, PCP chemoprophylaxis should be considered.

Response to highly active antiretroviral therapy among severely immuno-compromised HIV-infected patients in Cambodia

BACKGROUND

HAART efficacy was evaluated in a real-life setting in Phnom Penh (Médecins Sans Frontières programme) among severely immuno-compromised patients.

METHODS

Factors associated with mortality and immune reconstitution were identified using Cox proportional hazards and logistic regression models, respectively.

RESULTS

From July 2001 to April 2005, 1735 patients initiated HAART, with median CD4 cell count of 20 (inter-quartile range, 6-78) cells/microl. Mortality at 2 years increased as the CD4 cell count at HAART initiation decreased, (4.4, 4.5, 7.5 and 24.7% in patients with CD4 cell count > 100, 51-100, 21-50 and < or = 20 cells/microl, respectively; P < 10). Cotrimoxazole and fluconazole prophylaxis were protective against mortality as long as CD4 cell counts remained < or = 200 and < or = 100 cells/microl, respectively. The proportion of patients with successful immune reconstitution (CD4 cell gain > 100 cells/microl at 6 months) was 46.3%; it was lower in patients with previous ART exposure [odds ratio (OR), 0.16; 95% confidence interval (CI), 0.05-0.45] and patients developing a new opportunistic infection/immune reconstitution infection syndromes (OR, 0.71; 95% CI, 0.52-0.98). Similar efficacy was found between the stavudine-lamivudine-nevirapine fixed dose combination and the combination stavudine-lamivudine-efavirenz in terms of mortality and successful immune reconstitution. No surrogate markers for CD4 cell change could be identified among total lymphocyte count, haemoglobin, weight and body mass index.

CONCLUSION

Although CD4 cell count-stratified mortality rates were similar to those observed in industrialized countries for patients with CD4 cell count > 50 cells/microl, patients with CD4 cell count < or = 20 cells/microl posed a real challenge to clinicians. Widespread voluntary HIV testing and counselling should be encouraged to allow HAART initiation before the development of severe immuno-suppression.

Can routine clinical markers be used longitudinally to monitor antiretroviral therapy success in resource-limited settings?

Although routine clinical markers are used routinely to determine the stage of human immunodeficiency virus (HIV) disease, their use in monitoring response to antiretroviral therapy is poorly defined. Selected clinical markers were evaluated for their ability to predict first-line antiretroviral therapy success. No clinically meaningful variables were identified that predicted virologic or immunological success, implying that the CD4+ cell count and HIV type 1 RNA level data are required for optimal management of antiretroviral therapy.

Diagnosis of pediatric human immunodeficiency virus infection in resource-constrained settings

The majority of children infected with human immunodeficiency virus live in resource-constrained settings and die without an established diagnosis. Definitive laboratory diagnosis in children younger than 12-18 months requires virologic testing; however, antibody testing is often the only option available. Antibody testing provides a definitive diagnosis in older children but is frequently not used. Children meeting clinical criteria should be treated regardless of availability of laboratory diagnoses.

Predictors of early death in a cohort of Ethiopian patients treated with HAART

Background

HAART has improved the survival of HIV infected patients. However, compared to patients in high-income countries, patients in resource-poor countries have higher mortality rates. Our objective was to identify independent risk factors for death in Ethiopian patients treated with HAART.

Methods

In a district hospital in Ethiopia, we treated adult HIV infected patients with HAART based on clinical and total lymphocyte count (TLC) criteria. We measured body weight and complete blood cell count at baseline, 4 weeks later, then repeated weight every month and complete blood cell count every 12 weeks. Time to death was the main outcome variable. We used the Kaplan Meier and Cox regression survival analyses to identify prognostic markers. Also, we calculated mortality rates for the different phases of the follow-up.

Results

Out of 162 recruited, 152 treatment-naïve patients contributed 144.1 person-years of observation (PYO). 86 (57%) of them were men and their median age was 32 years. 24 patients died, making the overall mortality rate 16.7 per 100 PYO. The highest death rate occurred in the first month of treatment. Compared to the first month, mortality declined by 9-fold after the 18^th week of follow-up. Being in WHO clinical stage IV and having TLC<= 750/mcL were independent predictors of death. Haemoglobin (HGB) <= 10 g/dl and TLC<= 1200/mcL at baseline were not associated with increased mortality. Body mass index (BMI) <= 18.5 kg/m2 at baseline was associated with death in univariate analysis. Weight loss was seen in about a third of patients who survived up to the fourth week, and it was associated with increased death. Decline in TLC, HGB and BMI was associated with death in univariate analysis only.

Conclusion

The high mortality rate seen in this cohort was associated with advanced disease stage and very low TLC at presentation. Patients should be identified and treated before they progress to advanced stages. The underlying causes for early death in patients presenting at late stages should be investigated.

A new model to monitor the virological efficacy of antiretroviral treatment in resource-poor countries

Monitoring the efficacy of antiretroviral treatment in developing countries is difficult because these countries have few laboratory facilities to test viral load and drug resistance. Those that exist are faced with a shortage of trained staff, unreliable electricity supply, and costly reagents. Not only that, but most HIV patients in resource-poor countries do not have access to such testing. We propose a new model for monitoring antiretroviral treatment in resource-limited settings that uses patients' clinical and treatment history, adherence to treatment, and laboratory indices such as haemoglobin level and total lymphocyte count to identify virological treatment failure, and offers patients future treatment options. We believe that this model can make an accurate diagnosis of treatment failure in most patients. However, operational research is needed to assess whether this strategy works in practice.

Lessons learned from use of highly active antiretroviral therapy in Africa

BACKGROUND

Because antiretrovirals are becoming increasingly available in developing countries, we reviewed the findings of studies that have documented highly active antiretroviral therapy (HAART) use in Africa to identify lessons learned. With the World Health Organization (WHO) guidelines used as a frame of reference, we assessed the feasibility of implementing such programs in Africa. Moreover, clinical and laboratory outcomes were compiled to determine the effectiveness of HAART programs.

METHODS

We searched academic databases and recent conference abstracts for studies, and we included all studies that documented patients receiving HAART in Africa. In particular, we examined studies for such program features as type of regimen and frequency of monitoring, in addition to evaluations of patient outcomes.

RESULTS

Twenty-eight articles and abstracts involving studies from 14 African countries were reviewed. Overall, 6052 patients (96.4%) were receiving HAART, mainly consisting of 2 nucleoside reverse-transcriptase inhibitors (NRTIs) and 1 nonnucleoside reverse-transcriptase inhibitor. All studies reported an increase in mean and median CD4 cell counts, and a median of 73% of patients achieved undetectable viral loads by the end of the study period. Monitoring of CD4 cell count and viral load at 6-month intervals was completed by all studies. The median weight gained was 5.0 kg, and the median mortality rate was 7.4% (range, 0%-27%). Six studies reported that 68%-99% of patients took >95% of medications. Five studies measured drug resistance; most cases of resistance involved NRTIs.

CONCLUSIONS

Many studies reported positive health outcomes, including high levels of treatment adherence that were comparable to those of industrialized countries. Regimens and monitoring means based on WHO guidelines were implemented--and at times, exceeded--in all studies reviewed. We found compelling evidence that HAART can be feasibly administered in resource-limited settings.