Home |
Current Issue |
Past Issues |
In the Clinic |
ACP Journal Club |
CME |
Collections |
Audio/Video |
Mobile |
Subscribe |
Tools |
Help |
ACP Online
|
15 February 1995 | Volume 122 Issue 4 | Pages 262-270
Objective: To develop a human immunodeficiency virus (HIV) staging system for sub-Saharan Africa on the basis of an evaluation of the World Health Organization (WHO) system and predictors of mortality.
Design: Prospective cohort study with 4 years of follow-up.
Setting: Kigali, Rwanda.
Patients: 412 HIV-infected women recruited from prenatal and pediatric clinics.
Measurements: Clinical signs and symptoms of HIV disease, laboratory assays (including complete blood count and erythrocyte sedimentation rate), and cumulative mortality.
Results: The WHO staging system includes a clinical and a laboratory axis. The clinical axis was revised by inclusion of oral candidiasis, chronic oral or genital ulcers, and pulmonary tuberculosis as "severe" disease (clinical stage IV); in addition, body mass index was substituted for weight loss in the definition for the wasting syndrome. The 36-month cumulative mortality was 7% for women in modified clinical stage I ("asymptomatic"), 15% for those in stage II, 19% for those in stage III, and 36% for those in stage IV (P < 0.001). The laboratory axis was revised by replacing lymphocyte count with hematocrit and erythrocyte sedimentation rate. The 36-month mortality was 10% for women in modified stage A ("normal" laboratory results) and 33% for those in stage B (erythrocyte sedimentation rate >65 mm/h or hematocrit <0.38) (P < 0.001). A single staging system combining clinical and laboratory criteria is proposed, with a 36-month mortality of 7% for women in combined stage I, 10% for those in stage II, 29% for those in stage III, and 62% for those in stage IV (P < 0.001).
Conclusions: On the basis of this analysis, a staging system relevant for sub-Saharan Africa is proposed that reflects the range of HIV-related outcomes, has strong prognostic significance, includes inexpensive and available laboratory tests, and can be used by both clinicians and researchers.
A staging system for HIV should ideally have several important characteristics. First, mutually exclusive categories should reflect the entire range of clinical outcomes, from asymptomatic infection to serious illness. Second, the staging system should be clinically relevant and reflect increasing severity of illness. Third, clinicians or researchers for whom the staging system is intended should be able to apply that system under their usual working conditions. A system based on sophisticated immunologic testing might offer good prognostic information but would be impractical for most physicians caring for patients in settings with limited resources. Finally, a staging system should be associated with prognosis. A system reflecting prognosis and severity of illness could provide assistance with counseling and clinical management of patients, including the decision to introduce certain medical interventions. Different stages could be used to provide standardized criteria to evaluate HIV disease progression in efficacy trials of therapeutic drugs or vaccines.
Several studies evaluating the WHO staging system have been done, primarily in North America, Europe, and South America [11-15]. A need exists for additional studies evaluating HIV staging systems (including the WHO system) in persons from developing countries, particularly sub-Saharan Africa, where approximately two thirds of the world's HIV-infected population resides [16]. A need also exists to validate any staging system in women, especially in sub-Saharan Africa, which contains more than 80% of all HIV-infected women [16].
Since 1988, a cohort of urban women recruited from prenatal and pediatric outpatient clinics in Kigali, Rwanda, has been followed with regular clinical and laboratory evaluations [17-21]. We evaluated the proposed WHO HIV-staging system in this cohort. On the basis of this and previous analyses, we propose a series of revisions and a modified staging system that can be used in sub-Saharan Africa and possibly other developing countries.
Details of the sampling design and participant recruitment have been published [17-21]. Briefly, during 1986 and 1987, a consecutive sample of 3702 women aged 18 to 35 years was recruited from pediatric and perinatal care outpatient clinics in Kigali, Rwanda, and tested for HIV antibody [17, 18]. From this group, a random sample stratified by HIV status was selected for prospective cohort studies; this sample included 460 HIV-positive and 998 HIV-negative women [19-21]. As in previous studies [19], the follow-up rate after 4 years was approximately 90%.
Evaluation
Clinical evaluation of these women included a semi-annual medical history and weight measurement and an annual physical examination. Body mass index was evaluated using the Quetelet index (weight in kilograms/height in meters2). Testing for HIV was initially done using an enzyme-linked immunosorbent assay (Wellcome Diagnostics, Research Triangle Park, North Carolina), with confirmation by immunofluorescence (Virion, Lucerne, Switzerland) or Western blot (DuPont, Wilmington, Delaware). Other laboratory testing included an annual complete blood count with differential and a Westergren erythrocyte sedimentation rate.
Outpatient medical care was provided at the project site between scheduled visits. Inpatient care was provided at the Kigali Central Hospital, the city's only community hospital, which is located 500 meters from the project site. Information from outpatient and hospital records was incorporated into the clinical data base. For women who died and those for whom these data were not available, family members were interviewed about symptoms before death.
Statistical Analysis
To evaluate the prognostic significance of a staging system, women were classified at baseline into mutually exclusive stages. We evaluated time to death using the Kaplan-Meier survival analysis. Survival curves were compared using the Wilcoxon test of equality over strata; this test is more sensitive than the log-rank test to losses that occur early in the survival distribution [22]. We defined the second follow-up visit in this cohort study (which occurred 12 months after enrollment) as the "baseline date"; this allowed us to include in our "baseline" data all medical conditions that had been diagnosed within the preceding year. Thirty-six months of follow-up were available after this new baseline date.
We did four types of analyses. First, we evaluated survival using the current WHO HIV staging system. Second, we did a series of exploratory analyses to evaluate the prognostic significance of various clinical characteristics and laboratory measurements; these were mostly chosen on the basis of previous analyses of morbidity and mortality in this cohort [19]. We also evaluated prognosis associated with chronic or acute oral or genital ulcers, even if the cause was unknown. Third, we evaluated the subset of women who died during the follow-up period and described the time from first report of certain clinical conditions until the date of death. Fourth, we proposed some revisions to the WHO staging system and evaluated the effect of these modifications.
For evaluation of hematocrit, women were categorized as having values above or below the lower quartile (the lower 25% of results); for erythrocyte sedimentation rate, women were categorized as having values above or below the upper quartile (the upper 25% of results). We chose three categories for body mass index because the WHO staging system has three "weight loss" categories; cut-points were selected using whole numbers that would reflect the distribution of body mass index results and allow sufficient numbers in each category for analysis.
Operational Modifications in the WHO Staging System
For purposes of analysis and because of the methods of data collection, we made several operational adaptations to the WHO clinical staging system. We did not include a formal performance scale, as suggested in the revised WHO staging system [8]. We also did not specifically evaluate women in this cohort for HIV-related encephalopathy. The remaining key features of the WHO system are summarized in the Appendix. The wasting syndrome (for clinical stage IV) was defined as documented weight loss (during any 6- to 12-month interval) of greater than 10% of body weight plus either chronic diarrhea or chronic fever and asthenia. For clinical stage III, pneumonia, meningitis, and pyomyositis were considered severe bacterial infections.
Clinical stage II was adapted in four ways: 1) The WHO proposal includes persons with unintentional weight loss less than 10% of body weight. Because this could theoretically include persons with weight loss of 1% to 2% of body weight [within the range of normal weight fluctuations or variability in measurement], we included in stage II persons with weight loss of 5% to 10% of body weight. 2) Minor mucocutaneous manifestations included oral or genital ulcers of any duration and dermatitis [including pruritic dermatitis]. 3) Because of the way questions were asked, we included women who had had herpes zoster within the preceding 6 years [rather than within the preceding 5 years as suggested by WHO]. 4) Recurrent upper respiratory tract infections were defined as recurrent sinusitis noted on two consecutive medical histories that were obtained 6 months apart; we did not include minor illnesses such as colds.
In the WHO laboratory axis, stage A includes a CD4+ lymphocyte count greater than 500 x 106/Lor a total lymphocyte count greater than 2000 x 106/L. Stage B includes a CD4+ count of 200 to 500 x 106/L or a lymphocyte count of 1000 to 2000 x 106/L. Stage C includes a CD4+ count less than 200 x 106/Lor a lymphocyte count less than 1000 x 106/L[7]. Because CD4+ counts were not available, we based the laboratory staging solely on the total lymphocyte count.
We included in our analysis 412 women who were HIV seropositive at baseline; the median age was 28 years (range, 19 to 38 years). Most were involved in a stable relationship, either a legal (26%) or a common-law marriage (43%). Forty-four percent reported only one lifetime sexual partner, and another 26% reported only two lifetime partners. Ten percent of women were pregnant. Ninety-six women (23%) died after a median of 27 months (range, 3 to 51 months) from baseline evaluation. Among women who did not die, the median length of follow-up was 36 months.
Survival Based on the WHO Staging System
At the time of baseline evaluation, 35% of women were in WHO clinical stage I, 39% were in clinical stage II, 19% were in stage III, and 8% were in stage IV. Of the stage IV diseases listed in the Appendix, the only conditions diagnosed among women in our analysis were the HIV wasting syndrome, extrapulmonary cryptococcosis, esophageal candidiasis, extrapulmonary tuberculosis, and Kaposi sarcoma. Although stages I and II were associated with the best prognosis, stages III and IV overlapped, with stage III associated with a worse prognosis at 12 months (Figure 1). The 12-month cumulative mortality was 1% for women in WHO clinical stage I, 3% for those in clinical stage II, 16% for those in stage III, and 6% for those in stage IV; the 36-month cumulative mortality was 9% for women in stage I, 15% for those in stage II, 25% for those in stage III, and 27% for those in stage IV (P = 0.001). ARTICLE
Classification of HIV Infection and Disease in Women from Rwanda: Evaluation of the World Health Organization HIV Staging System and Recommended Modifications
As the human immunodeficiency virus (HIV) continues to spread globally, increasing attention is being given to the entire spectrum of HIV infection. Although several case definitions for the acquired immunodeficiency syndrome (AIDS) in adults and adolescents have been developed [1-3], these definitions include only the most severe manifestations of HIV-induced immunodeficiency. To describe the full range of HIV-related outcomes, various HIV staging systems have been proposed [3-10]. In one staging system developed by the World Health Organization (WHO), persons are categorized into one of four clinical stages and into one of three laboratory stages; laboratory staging is based on either the total lymphocyte count or the CD4+ lymphocyte count [7, 8]. In another system proposed by the Centers for Disease Control and Prevention (CDC), three clinical stages and three laboratory stages are used; laboratory staging is based entirely on the CD4+ count [3].
Methods
![]()
Top
Methods
Results
Discussion
Author & Article Info
References
Study Cohort
Results
![]()
Top
Methods
Results
Discussion
Author & Article Info
References
Study Population
|
In 391 women (95%), total lymphocyte counts were measured at baseline (median lymphocyte count, 2604 x 106/L; lower and upper quartiles, 1968 x 106/L and 3591 x 106/L, respectively). Seventy-three percent of women were in WHO laboratory stage A, 24% were in stage B, and 3% were in stage C. Although stage C was associated with the worst prognosis, stages A and B overlapped, particularly during the first 18 months of follow-up (Figure 2). The 12-month cumulative mortality was 5% for women in WHO laboratory stage A, 4% for those in stage B, and 18% for those in stage C; the 36-month cumulative mortality was 15% for women in stage A, 19% for those in stage B, and 36% for those in stage C (P = 0.088).
|
Exploratory Analyses
Clinical Measurements
On the basis of previous studies of predictors of mortality [19], we selected four conditions for evaluation. Although only 3% of women had microscopically confirmed oral candidiasis in the year before baseline evaluation, this condition was associated with a significantly worse prognosis; the 36-month cumulative mortality was 50% for those with oral candidiasis and 15% for those without oral candidiasis (Table 1). Women with a history of herpes zoster in the preceding 6 years had a worse survival, although differences between women with and without such a history were not significant.
|
To study variables that might reflect the wasting syndrome, we evaluated both weight loss and body mass index. In 402 women, weight was measured at least twice in 1 year; these women were categorized as having a weight loss greater than 10% of body weight, a weight loss of 5% to 10% of body weight, or a weight loss of 5% or less of body weight. Differences in survival among these categories were not significant (Table 1). In contrast, body mass index was a strong predictor of mortality. In 390 women, both height and weight were measured at the baseline evaluation; the median body mass index was 21.5 kg/m2 (lower and upper quartiles, 19.9 kg/m2 and 23.4 kg/m2, respectively). These women were categorized as having an index of 19 kg/m2 or less, an index greater than 19 kg/m2 but
21 kg/m2, and an index greater than 21 kg/m2. The 36-month cumulative mortality was 29%, 19%, and 12%, respectively; these differences in survival were statistically significant.
Although chronic mucocutaneous herpes simplex virus infection is considered a clinical stage IV condition, microbiological diagnosis of ulcerative lesions was not possible. We therefore evaluated a history of chronic (lasting at least 1 month) oral or genital ulcers, regardless of cause; acute (lasting less than 1 month) ulcers; or no ulcers. A history of an ulcerative lesion was associated with decreased survival; chronic ulcers were associated with the worst prognosis. The 36-month cumulative mortality was 32% for women with chronic ulcers, 21% for those with acute ulcers, and 14% for those with no ulcers (Table 1).
Laboratory Measurements
We evaluated four laboratory measurements. In 396 (96%) women, total leukocyte counts were measured at baseline evaluation (median count, 6125 x 106/L; lower and upper quartiles, 4750 x 106/L and 7775 x 106/L, respectively). Mortality in women with leukocyte counts greater than and less than 5000 x 106/Ldid not differ significantly (Table 1). As noted above, the stratification of women into three stages on the basis of total lymphocyte count was not significantly associated with prognosis. Stratifying women into groups with lymphocyte counts greater than or less than 2000 x 106/Lalso did not result in significant differences.
In 395 women (96%), hematocrit was measured at the baseline evaluation (median hematocrit, 0.41; lower and upper quartiles, 0.38 and 0.43, respectively). The survival of women with measurements above and below the lower quartile significantly differed; the 36-month cumulative mortality was 42% for those with a hematocrit less than 0.38 and 11% for those with a hematocrit of 0.38 or more (Table 1).
In 390 women (95%), the erythrocyte sedimentation rate was measured at baseline (median rate, 39.5 mm/h; lower and upper quartiles, 15 mm/h and 65 mm/h, respectively). Women with rates above and below the upper quartile significantly differed in survival; the 36-month cumulative mortality was 32% for women with an erythrocyte sedimentation rate greater than 65 mm/h and 11% for those with an erythrocyte sedimentation rate of 65 mm/h or less (Table 1).
Selected Opportunistic Infections and Malignancies in Women Who Died
Among the 96 women who died, pulmonary or extrapulmonary tuberculosis developed after enrollment in 12 (median time to death after this diagnosis, 10.2 months). Kaposi sarcoma was diagnosed after enrollment in 6 women who died (median time to death, 4.6 months). Four women who died were reported to have cryptococcal meningitis (median time to death, 4.1 months), and 3 were reported to have esophageal candidiasis (median time to death, 0.9 months).
Revised Staging System
Clinical Staging
A revised clinical staging system was developed on the basis of modifications to the WHO proposal (see Appendix). We expanded the criteria for stage IV to include oral candidiasis, all chronic (lasting at least 1 month) oral or genital ulcerative lesions, and all cases of tuberculosis (whether pulmonary or extrapulmonary). Acute oral or genital ulcers were retained as stage II conditions (minor mucocutaneous manifestations). We also replaced the criterion of weight loss greater than 10% of body weight (in clinical stages III and IV) with that of a body mass index of 19 kg/m (2) or less and replaced the criterion of a weight loss less than 10% of body weight (in clinical stage II) with that of a body mass index between 19 kg/m2 and 21 kg/m2.
At baseline evaluation, 30% of women were in modified clinical stage I, 41% were in stage II, 18% were in stage III, and 12% were in stage IV (Figure 3). According to this system, women were differentiated in terms of survival, with no overlap. The 12-month cumulative mortality was 1% for women in modified clinical stage I, 3% for those in stage II, 7% for those in stage III, and 17% for those in stage IV; the 36-month cumulative mortality was 7% for women in modified stage I, 15% for those in stage II, 19% for those in stage III, and 36% for those in stage IV (P < 0.001).
|
Laboratory Staging
In contrast to the total lymphocyte count, an elevated erythrocyte sedimentation rate and a low hematocrit were both strongly associated with mortality. In our two-stage laboratory system, laboratory stage A was defined as an erythrocyte sedimentation rate of 65 mm/h or less and a hematocrit of 0.38 or more, and laboratory stage B was defined as an erythrocyte sedimentation rate greater than 65 mm/h or a hematocrit less than 0.38. On the basis of laboratory data, 392 women (95%) could be classified into one of two revised laboratory stages: 273 women (70%) were in modified laboratory stage A, and 119 (30%) were in modified laboratory stage B (on the basis of at least one abnormal laboratory value). The prognoses in the two stages differed for all time periods, and the differences were significant (Figure 4). The 12-month cumulative mortality was 1% for women in modified laboratory stage A and 13% for women in stage B; the 36-month cumulative mortality was 10% for women in modified stage A and 33% for women in stage B (P < 0.001).
|
Among the 390 women in whom both laboratory assays were done, the prognosis was worst for 47 women with a hematocrit less than 0.38 and an erythrocyte sedimentation rate greater than 65 mm/h (24-month cumulative mortality, 37%), followed by 23 women with a hematocrit less than 0.38 and an erythrocyte sedimentation rate of 65 mm/h or less (24-month mortality, 27%), 47 women with a hematocrit of 0.38 or more and an erythrocyte sedimentation rate greater than 65 mm/h (24-month mortality, 11%), and 273 women with a hematocrit of 0.38 or more and an erythrocyte sedimentation rate of 65 mm/h or less (24-month mortality, 4%) (P < 0.001).
Interaction of Clinical and Laboratory Stages
We next evaluated the prognostic significance of our modified laboratory staging system within each modified clinical stage. The survival for women stratified by both clinical and laboratory status at baseline evaluation is shown in Table 2. Because of small numbers and wide confidence intervals at 36 months, results are shown only through 24 months of follow-up. Within modified clinical stage I, laboratory stage did not significantly affect prognosis. Within modified clinical stages II through IV, however, laboratory stage B was associated with a significantly worse prognosis. Among women in laboratory stage A, mortality rates were similar in stages II through IV.
|
Combined Clinical and Laboratory Staging System
Because clinical status and laboratory results both have prognostic significance, we developed a single staging system that combines both clinical and laboratory criteria. We defined Kigali stage I as modified clinical stage I (asymptomatic infection), regardless of laboratory results. Kigali stage II was defined as modified clinical stage II or III ["mild" or "moderate" disease] and modified laboratory stage A. Kigali stage III was defined as either 1) modified clinical stage II or III and modified laboratory stage B or 2) modified clinical stage IV ("severe" disease) and modified laboratory stage A. Kigali stage IV was defined as modified clinical stage IV ("severe" disease) and modified laboratory stage B.
Four hundred two women (98%) could be classified into one of these four stages on the basis of clinical and laboratory criteria; 123 (31%) were in stage I, 160 (40%) were in stage II, 98 (24%) were in stage III, and 21 (5%) were in stage IV. These stages were significantly associated with prognosis (Figure 5). The 12-month cumulative mortality was 1% for women in combined stage I, 2% for those in stage II, 8% for those in stage III, and 33% for those in stage IV; the 36-month cumulative mortality was 7% for women in combined stage I, 10% for those in stage II, 29% for those in stage III, and 62% for those in stage IV (P < 0.001).
|
Discussion
|
|---|
|
|
|---|
Second, we replaced the weight loss criterion with that of body mass index, which was a better predictor of subsequent mortality. Our measure of body mass index, the Quetelet index, has been used as an indicator of body adiposity [26] and of adult chronic energy deficiency [27]. Use of this index requires only height and weight, thus allowing clinicians and researchers to determine status at a single point in time rather than relying on weight change over an unspecified interval. We selected our lower cut-point of 19.0 kg/m2 on the basis of the body mass index distribution in this cohort; other investigators have suggested different index values as indicating chronic energy deficiency in developing countries [27]. Developing an appropriate measure of undernutrition is important for HIV staging systems in sub-Saharan Africa because the wasting syndrome is a major cause of HIV-related deaths [19].
Third, we defined any chronic oral or genital ulcer as a stage IV condition. This is in part a recognition that microbiological resources used to diagnose specific infectious agents such as herpes simplex virus are limited in many developing countries, particularly in settings outside urban or tertiary hospitals. In addition, if HIV-induced immune suppression impairs healing or response to standard therapy for other genital ulcer diseases such as chancroid [28], a chronic ulcer may still reflect advanced HIV disease. We retained acute ulcers as a stage II condition, which is consistent with the inclusion of minor mucocutaneous manifestations; of interest, a history of acute ulcers was associated with a prognosis somewhat worse than that for women with no ulcers.
Fourth, we included pulmonary tuberculosis as a stage IV condition. This is consistent with the current CDC and WHO classifications of pulmonary tuberculosis as an AIDS-defining disease in adults and adolescents [1, 3]. Tuberculosis is a common cause of pulmonary disease among HIV-infected persons in Rwanda [21, 29, 30]. Tuberculosis has developed at different degrees of immune suppression among HIV-infected African patients [31], causing some investigators to suggest that pulmonary tuberculosis may be of limited use as a marker of HIV disease stage. Although tuberculosis may develop at an earlier stage of immune suppression, it may also be associated with a worse survival once it occurs. According to previous data from this cohort, 5 (42%) of 12 HIV-infected women with pulmonary tuberculosis and no known extrapulmonary disease died within 15 months [21]. Investigators of a clinical trial of different regimens in Ugandan HIV-infected patients with pulmonary tuberculosis (excluding those who were severely debilitated) reported a 1-year survival rate of 65% to 72% [32]. In addition to death directly caused by tuberculosis, progression of HIV disease may be accelerated if tuberculosis adversely affects the immune system or enhances HIV expression [33, 34]. If so, this accelerated progression may lead to an increased risk for death from other immunodeficiency-associated illnesses.
Women with a history of herpes zoster had a somewhat worse prognosis than those who did not, although this difference was not significant. Previous studies from Rwanda have suggested that herpes zoster may be an early manifestation of HIV-induced immunosuppression that occurs before other HIV-related signs and symptoms develop [35].
This analysis was based on a cohort of African women, a group in whom the natural history of HIV disease is not completely understood. Data on gynecologic manifestations in these women are also being evaluated. On the basis of these and other analyses, clinical staging criteria may be expanded to include cervical neoplasia or other abnormalities.
With respect to laboratory criteria, CDC and WHO staging systems both include CD4+ lymphocyte counts [3, 7]. Although the CD4+ count provides important prognostic information, determinations of lymphocyte subsets require resources and technical expertise not routinely available in many settings in developing countries. In the WHO staging system, the total lymphocyte count is used as an alternative to the CD4+ count [7]. Studies from the United States indicating that the total lymphocyte count is a useful predictor of low CD4+ counts [36] suggest that this substitution may be reasonable in certain settings. However, in our cohort, classifications based on total lymphocyte count were not significantly associated with mortality. Our analysis does not support the use of a staging system that is based on total lymphocyte count in sub-Saharan Africa.
In contrast, both the erythrocyte sedimentation rate and hematocrit strongly predicted survival. Other studies have also shown that a low hematocrit or hemoglobin level and an elevated erythrocyte sedimentation rate are associated with progression of HIV disease or a decrease in CD4+ counts [37-40]. When these two measurements were combined, prognoses among women with symptomatic HIV infection could be differentiated, even within each clinical stage. One caution about the use of laboratory measures such as erythrocyte sedimentation rate and hematocrit in an HIV staging system is that they are relatively nonspecific and may be affected by various underlying illnesses, including conditions (such as malaria) that are not directly related to advanced HIV disease. However, our data suggest that laboratory results abnormal for any reason were associated with a significantly worse survival; therefore, these measures provide important prognostic information. Many of the clinical criteria proposed for use in developing countries (such as fever, diarrhea, and weight loss) are also fairly nonspecific and may be caused by various diseases. Because the laboratory tests we propose are inexpensive, routinely available in many clinical settings in developing countries, and provide prognostic information among symptomatic HIV-infected women, we believe they are useful additions to an HIV staging system. Additional researchers evaluating this system may wish to examine the effect of excluding persons with abnormal laboratory values that can be explained by diseases not related to HIV infection. As HIV staging systems become further refined, researchers may also wish to consider the utility of other prognostic laboratory assays such as ß2-µglobulin [41].
Use of any laboratory assay may be associated with both measurement and individual variability. For this reason, some investigators have recommended that all abnormal laboratory values at a certain cutoff level be confirmed by retesting a second specimen; this has been suggested for CD4+ counts [42]. To improve the specificity of our staging system, we suggest that in persons tested for erythrocyte sedimentation rate and hematocrit, at least two consecutive specimens should be obtained at least 1 month apart; for a given assay, both specimens would need to be abnormal.
Current CDC and WHO staging systems have separate clinical and laboratory axes, resulting in 9 possible combinations in the CDC system [3] and 12 in the WHO system [7]. This creates a potentially confusing situation as clinicians compare, for example, the relative prognosis of patients in category 3B with that of patients in category 4A. Our modified system consists of four clinical and two laboratory stages. We have also proposed a four-stage system that combines clinical and laboratory criteria and reflects the worse prognosis associated with both clinically severe disease and abnormal laboratory values. Having fewer stages may also help increase acceptance of a staging system.
Our staging system was developed on the basis of predictors of mortality in a cohort of HIV-infected women in Rwanda. This cohort was drawn from outpatient community-based clinics rather than from inpatient hospitals or specialized settings. We specifically developed our system for use in sub-Saharan Africa, which has been heavily affected by the HIV pandemic. This system should be considered a proposal for additional discussion and evaluation. In determining the applicability of this system, it is important that it be independently validated in different groups of HIV-infected persons in sub-Saharan Africa, including those persons enrolled in prospective cohort studies. On the basis of additional analyses and considerations, this initial proposal may be further modified and refined.
Our revised HIV staging system reflects the range of clinical outcomes from asymptomatic infection through serious illness, includes inexpensive and available laboratory assays, is related to prognosis, and can be used in sub-Saharan Africa. We recommend that additional investigators evaluate this staging system for use in both clinical management and research in developing countries, including trials of vaccines and therapies to prevent the progression of HIV disease.
Appendix
|
|---|
WHO clinical stage I: 1) asymptomatic infection; 2) persistent generalized lymphadenopathy; 3) acute retroviral syndrome; and 4) performance scale level at which patients can perform normal activities (not included in this analysis).
Modified clinical stage I: Same as WHO clinical stage I (adaptations as noted in the text).
WHO clinical stage II ["mild" disease]: 1) unintentional weight loss less than 10% of body weight; 2) minor mucocutaneous manifestations; 3) herpes zoster developing within the previous 5 years; 4) recurrent upper respiratory tract infections [for example, bacterial sinusitis]; and 5) performance scale level at which symptoms are present but patients are almost fully ambulatory (not included in this analysis).
Modified clinical stage II: Same as WHO clinical stage II (adaptations noted in the text), but body mass index between 19 kg/m2 and 21 kg/m2 is substituted for weight loss. Minor mucocutaneous manifestations include acute oral or genital ulcers.
WHO clinical stage III ["moderate" disease]: 1) unintentional weight loss greater than 10% of body weight; 2) chronic [lasting >1 month] diarrhea; 3) prolonged (lasting >1 month) fever [intermittent or constant]; 4) oral candidiasis; 5) oral hairy leukoplakia; 6) pulmonary tuberculosis developing within the previous year; 7) severe bacterial infections [for example, pneumonia or pyomyositis]; 8) vulvovaginal candidiasis that is chronic [lasting >1 month] or poorly responsive to therapy; and 9) performance scale level at which patients remain in bed less than 50% of daytime but more than normal (not included in this analysis).
Modified clinical stage III: Same as WHO clinical stage III [adaptations noted in text] but with the following changes: 1) Oral candidiasis is not included; 2) body mass index of 19 kg/m2 or less is substituted for weight loss; and 3) pulmonary tuberculosis is not included.
WHO clinical stage IV ["severe" disease]: 1) the HIV wasting syndrome, defined as unexplained weight loss greater than 10% and either chronic diarrhea or chronic weakness and unexplained fever; 2) Pneumocystis carinii pneumonia; 3) toxoplasmosis of the brain; 4) cryptosporidiosis with diarrhea lasting longer than 1 month; 5) isosporiasis with diarrhea lasting longer than 1 month; 6) extrapulmonary cryptococcosis; 7) cytomegalovirus disease affecting organs other than the liver, spleen, or lymph nodes; 8) visceral or chronic [lasting >1 month] mucocutaneous herpes simplex virus infection; 9) progressive multifocal leukoencephalopathy; 10] any disseminated endemic mycosis; 11) candidiasis of the esophagus, trachea, bronchi, or lungs; 12] disseminated atypical Mycobacterium infection; 13) nontyphoidal Salmonella septicemia; 14] extrapulmonary tuberculosis; 15) lymphoma; 16] Kaposi sarcoma; 17) HIV-related encephalopathy [not included in this analysis]; and 18) performance scale level at which patients remain in bed more than 50% of daytime (not included in this analysis).
Modified clinical stage IV: Same as WHO clinical stage IV [adaptations noted in text] but with the following changes: 1) addition of oral candidiasis; 2) substitution of body mass index of 19 kg/m2 or less for weight loss; 3) addition of chronic [lasting
1 month] oral or genital ulcer; and 4) addition of pulmonary tuberculosis.
Author and Article Information
|
|---|
|
|
|---|
References
|
|---|
|
|
|---|
1. World Health Organization. WHO case definitions for AIDS surveillance in adults and adolescents. Wkly Epidemiol Rec. 1994; 69:273-5.
2. Weniger BG, Quinhoes EP, Sereno AB, de Perez MA, Krebs JW, Ismael C, et al. A simplified surveillance case definition of AIDS derived from empirical clinical data. The Clinical AIDS Study Group, and the Working Group on AIDS case definition. J Acquir Immune Defic Syndr. 1992; 5:1212-23.
3. Centers for Disease Control and Prevention. 1993 revised classification system for HIV infection and expanded surveillance case definition for AIDS among adolescents and adults. MMWR Morb Mortal Wkly Rep. 1992; 41(RR-17):1-19.
4. Haverkos HW, Gotlieb MS, Killen JY, Edelman R. Classification of HTLV-III/LAV-related diseases (Letter). J Infect Dis. 1985; 152:1095.
5. Redfield RR, Wright DC, Tramont EC. The Walter Reed staging classification for HTLV-III/LAV infection. N Engl J Med. 1986; 314:131-2.
6. Centers for Disease Control. Classification system for human T-lymphotropic virus type III/lymphadenopathy-associated virus infections. MMWR Morb Mortal Wkly Rep. 1986; 35:334-9.
7. World Health Organization. Acquired immunodeficiency syndrome (AIDS): interim proposal for a WHO staging system for HIV infection and disease. Wkly Epidemiol Rec. 1990; 65:221-4.
8. The WHO International Collaborating Group for the Study of the WHO Staging System. Proposed "World Health Organization Staging system for HIV infection and disease": preliminary testing by an international collaborative cross-sectional study. AIDS. 1993; 7:711-8.
9. Royce RA, Luckmann RS, Fusaro RE, Winkelstein W Jr. The natural history of HIV-1 infection: staging classifications of disease. AIDS. 1991; 5:355-64.
10. Rabeneck L, Crane MM, Risser JM, Lacke CE, Wray NP. A simple clinical staging system that predicts progression to AIDS using CD4 count, oral thrush, and night sweats. J Gen Intern Med. 1993; 8:5-9.
11. Montaner JS, Le TN, Le N, Craib KJ, Schechter MT. Application of the World Health Organization system for HIV infection in a cohort of homosexual men in developing a prognostically meaningful staging system. AIDS. 1992; 6:719-24.
12. Lima LA, May SB, Perez MA, Schechter M. Survival of HIV-infected Brazilians: a model based on the World Health Organization staging system (Letter). AIDS. 1993; 7:295-6.
13. Vandenbruaene M, Colebunders R, Goeman J, Alary M, Farber CM, Kestens L, et al. Evaluation of two staging systems for HIV infection for use in developing countries. AIDS. 1993; 7:1613-5.
14. Schechter M, Zajdenverg R, Machado LL, Pinto ME, Lima LA, Perez MA. Predicting CD4 counts in HIV-infected Brazilian individuals: a model based on the World Health Organization staging system. J Acquir Immune Defic Syndr. 1994; 7:163-8.
15. Aylward RB, Vlahov D, Munoz A, Rapiti E. Validation of the proposed WHO staging system for HIV disease and infection in a cohort of intravenous drug users. AIDS. 1994; 8:1129-33.
16. Mann JM, Tarantola DJ, Netter TW. AIDS in the World. Cambridge: Harvard University Press; 1992:11-108.
17. Allen S, Van de Perre P, Serufilira A, Lepage P, Carael M, DeClercq AP, et al. Human immunodeficiency virus and malaria in a representative sample of childbearing women in Kigali, Rwanda. J Infect Dis. 1991; 164:67-71.
18. Allen S, Lindan C, Serufilira A, Van de Perre P, Chen-Rundle A, Nsengumuremyi F, et al. Human immunodeficiency virus infection in urban Rwanda. Demographic and behavioral correlates in a representative sample of childbearing women. JAMA. 1991; 266:1657-63.
19. Lindan CP, Allen S, Serufilira A, Lifson AR, Van de Perre P, Chen-Rundle A, et al. Predictors of mortality among HIV-infected women in Kigali, Rwanda. Ann Intern Med. 1992; 116:320-8.
20. Allen S, Serufilira A, Bogaerts J, Van de Perre P, Nsengumuremyi F, Lindan C, et al. Confidential HIV testing and condom promotion in Africa. Impact on HIV and gonorrhea rates. JAMA. 1992; 268:3338-43.
21. Allen S, Batungwanayo J, Kerlikowske K, Lifson AR, Wolf W, Granich R, et al. Two-year incidence of tuberculosis in cohorts of HIV-infected and uninfected urban Rwandan women. Am Rev Respir Dis. 1992; 146:1439-44.
22. Dawson-Saunders B, Trapp RG. Basic and Clinical Biostatistics. Norwalk, Connecticut: Appleton & Lange; 1990:186-206.
23. Katz MH, Greenspan D, Westenhouse J, Hessol NA, Buchbinder SP, Lifson AR, et al. Progression to AIDS in HIV-infected homosexual and bisexual men with hairy leukoplakia and oral candidiasis. AIDS. 1992; 6:95-100.
24. Selwyn PA, Alcabes P, Hartel D, Buono D, Schoenbaum EE, Klein RS, et al. Clinical manifestations and predictors of disease progression in drug users with human immunodeficiency virus infection. N Engl J Med. 1992; 327:1697-703.
25. Lin RY, Goodhart P. The role of oral candidiasis in survival and hospitalization patterns: analysis of an inner city hospital human immunodeficiency virus/acquired immune deficiency syndrome registry. Am J Med Sci. 1993; 305:345-53.
26. Revicki DA, Israel RG. Relationship between body mass indices and measures of body adiposity. Am J Public Health. 1986; 76:992-4.
27. Ferro-Luzzi A, Sette S, Franklin M, James WP. A simplified approach of assessing adult chronic energy deficiency. Eur J Clin Nutr. 1992; 46:173-86.
28. Centers for Disease Control and Prevention. 1993 sexually transmitted diseases treatment guidelines. MMWR Morb Mortal Wkly Rep. 1993; 42(RR-14):1-102.
29. Batungwanayo J, Taelman H, Allen S, Bogaerts J, Kagame A, Van de Perre P. Pleural effusion, tuberculosis and HIV-1 infection in Kigali, Rwanda. AIDS. 1993; 7:73-9.
30. Batungwanayo J, Taelman H, Lucas S, Bogaerts J, Alard D, Kagame A, et al. Pulmonary disease associated with the human immunodeficiency virus in Kigali, Rwanda. A fiberoptic bronchoscopic study of 111 cases of undetermined etiology. Am J Respir Crit Care Med. 1994; 149:1591-6.
31. Mukadi Y, Perriens JH, St. Louis ME, Brown C, Prignot J, Willame JC, et al. Spectrum of immunodeficiency in HIV-1-infected patients with pulmonary tuberculosis in Zaire. Lancet. 1993; 342:143-6.
32. Okwera A, Whalen C, Byekwaso F, Vjecha M, Johnson J, Huebner R, et al. Randomised trial of thiacetazone and rifampicin-containing regimens for pulmonary tuberculosis in HIV-infected Ugandans. Lancet. 1994; 344:1323-8.
33. Wallis RS, Vjecha M, Amir-Tahmasseb M, Okwera A, Byekwaso F, Nyole S, et al. Influence of tuberculosis on human immunodeficiency virus (HIV-1): enhanced cytokine expression and elevated ß 2-µglobulin in HIV-1-associated tuberculosis. J Infect Dis. 1993; 167:43-8.
34. Lederman MM, Georges DL, Kusner DJ, Mudido P, Giam CZ, Toossi Z.Mycobacterium tuberculosis and its purified protein derivative activate expression of the human immunodeficiency virus. J Acquir Immune Defic Syndr. 1994; 7:727-33.
35. Van de Perre P, Bakkers E, Batungwanayo J, Kestelyn P, Lepage P, Nzaramba D, et al. Herpes zoster in African patients: an early manifestation of HIV infection. Scand J Infect Dis. 1988; 20:277-82.[Medline]
36. Blatt SP, Lucey CR, Butzin CA, Hendrix CW, Lucey DR. Total lymphocyte count as a predictor of absolute CD4+ count and CD4+ percentage in HIV-infected persons. JAMA. 1993; 269:622-6.
37. Moss AR, Bacchetti P, Osmond D, Krampf W, Chaisson RE, Stites D, et al. Seropositivity for HIV and the development of AIDS or AIDS related condition: three year follow up of the San Francisco General Hospital cohort. Br Med J (Clin Res Ed). 1988; 296:745-50.
38. Lefrere JJ, Salmon D, Doinel C, Rouger P, Courouce AM, Lambin P, et al. Sedimentation rate as a predictive marker in HIV infection. AIDS. 1988; 2:63-4.
39. Munoz A, Carey V, Saah AJ, Phair JP, Kingsley LA, Fahey JL, et al. Predictors of decline in CD4 lymphocytes in a cohort of homosexual men infected with human immunodeficiency virus. J Acquir Immune Defic Syndr. 1988; 1:396-404.
40. Schwartlander B, Bek B, Skarabis H, Koch J, Burkowitz J, Koch MA. Improvement of the predictive value of CD4+ lymphocyte count by ß 2-µglobulin, immunoglobulin A, and erythrocyte sedimentation rate. The Multicentre Cohort Study Group. AIDS. 1993; 7:813-21.
41. Kerlikowske KM, Katz MH, Allen S, Wolf W, Hudes ES, Karita E, et al. Beta 2 µglobulin as a predictor of death in HIV-infected women from Kigali, Rwanda. AIDS. 1994; 8:963-9.
42. Hoover DR. Would confirmatory retesting of CD4+ cells to verify AIDS status be too expensive? (Letter) J Acquir Immune Defic Syndr. 1993; 6:537-9.
This article has been cited by other articles:
![]() |
E. C. JONES-LOPEZ, A. OKWERA, H. MAYANJA-KIZZA, J. J. ELLNER, R. D. MUGERWA, C. C. WHALEN, and THE UGANDA-CASE WESTERN RESERVE UNIVERSITY RESEARC DELAYED-TYPE HYPERSENSITIVITY SKIN TEST REACTIVITY AND SURVIVAL IN HIV-INFECTED PATIENTS IN UGANDA: SHOULD ANERGY BE A CRITERION TO START ANTIRETROVIRAL THERAPY IN LOW-INCOME COUNTRIES? Am J Trop Med Hyg, January 1, 2006; 74(1): 154 - 161. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. MODJARRAD, I. ZULU, D. T. REDDEN, L. NJOBVU, D. O. FREEDMAN, and S. H. VERMUND PREVALENCE AND PREDICTORS OF INTESTINAL HELMINTH INFECTIONS AMONG HUMAN IMMUNODEFICIENCY VIRUS TYPE 1-INFECTED ADULTS IN AN URBAN AFRICAN SETTING Am J Trop Med Hyg, October 1, 2005; 73(4): 777 - 782. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. T. Merchant, G. Msamanga, E. Villamor, E. Saathoff, M. O'Brien, E. Hertzmark, D. J. Hunter, and W. W. Fawzi Multivitamin Supplementation of HIV-Positive Women during Pregnancy Reduces Hypertension J. Nutr., July 1, 2005; 135(7): 1776 - 1781. [Abstract] [Full Text] [PDF] |
||||
![]() |
Staging of HIV Disease in Women AIDS Clinical Care, April 1, 1995; 1995(401): 8 - 8. [Full Text] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||