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Infection and Immunity, November 2006, p. 6398-6407, Vol. 74, No. 11
0019-9567/06/$08.00+0 doi:10.1128/IAI.00757-06
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
Center for International Health Research, Lifespan Hospitals, Providence, Rhode Island,1 Department of Pediatrics, Brown University Medical School, Providence, Rhode Island,2 Department of Immunology, Research Institute for Tropical Medicine, Department of Health, Manila, The Philippines,3 Department of Pathology and Laboratory Medicine, Brown University Medical School, Providence, Rhode Island,4 Center for Statistical Sciences, Brown University, Providence, Rhode Island,5 International Health Institute, Brown University, Providence, Rhode Island6
Received 12 May 2006/ Returned for modification 21 June 2006/ Accepted 11 August 2006
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The exact mechanisms involved in schistosomiasis-associated anemia are unclear (4). Schistosomiasis may cause intestinal blood loss and subsequent iron deficiency as eggs pass through the intestinal or bladder wall into the lumen or through the induction of inflammatory lesions of intestinal or bladder mucosa. However, there is little evidence that the quantity of blood lost is sufficient to produce iron deficiency and anemia in the context of S. japonicum infection, except possibly at high infection intensities (6, 33). Two studies have reported an association between schistosome egg counts and decreased iron stores (30). However, the traditional markers of iron status used in these studies (ferritin and erythrocyte protoporphyrin) are likely influenced by inflammation, complicating their interpretation. Moreover, because poverty increases the risk of both schistosomiasis and dietary deficiency of iron, studies that do not adjust for socioeconomic status (SES) may be confounded by poor iron intake.
Alternatively, schistosomiasis may cause anemia by inducing proinflammatory cytokine-mediated dyserythropoiesis, as seen in anemia associated with inflammation (10, 19). During S. japonicum infection, only a proportion of the 500 to 3,500 eggs shed daily by each female worm reach the intestine (29). The remainder of these heavily immunogenic eggs are trapped in the intestinal wall or the liver, causing an inflammatory reaction and granuloma formation. Anemia in the setting of acute/chronic inflammation is mediated by (i) decreased erythropoietin production and/or responsiveness of erythrocyte precursors in the bone marrow, (ii) a decreased erythrocyte life span, and (iii) shunting of bioavailable iron to storage forms and, possibly, a reduced uptake of dietary iron in the gut (19). In addition to anemia associated with inflammation, schistosomiasis may result in anemia secondary to increased sequestration of erythrocytes and/or increased hemolysis in the spleens of individuals with schistosomiasis-associated splenomegaly (5, 14, 36).
In a cohort of 580 7- to 30-year-old S. japonicum-infected individuals in a region of The Philippines where S. japonicum is endemic, we evaluated (i) the impact of reinfection with S. japonicum after treatment with praziquantel on the mean hemoglobin level and (ii) the contributions of potential mechanisms involved in S. japonicum-associated anemia, particularly iron deficiency and inflammation.
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In total, 616 participants living in 331 households were enrolled in two separate cohorts, in October 2002 and April 2003. Table 1 shows the baseline characteristics of the participants. After blood collection and physical examination, all participants were treated with a split dose of 60 mg of praziquantel/kg of body weight. Subsequently, participants were followed up at approximately 1, 3, 6, 9, 12, 15, and 18 months posttreatment. At each time point, stool and blood samples were collected and a physical examination was performed. All participants were transported to the study clinic by study staff for enrollment and follow-up visits. Brown University and The Philippines Research Institute of Tropical Medicine institutional review boards approved this study. All S. japonicum-reinfected subjects as well as subjects infected with geohelminths were treated at the end of the study.
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TABLE 1. Baseline characteristics of patients in this study
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SES. A summary SES score based on questionnaire data addressing parental and child educational status, occupation, ownership of home/land, and assets was calculated for each participant as described previously (12).
Blood collection. At each trimonthly follow-up visit, venipuncture was performed, and blood was collected into Vacutainer tubes (Becton Dickinson, Franklin Lakes, NJ) containing EDTA as an anticoagulant (for hemograms) or serum separator gel (for serum assays). A complete hemogram was obtained on a Serono Baker 9000 hematology analyzer (Serono Baker Diagnostics, Allentown, PA). The hematology analyzer was maintained in compliance with the College of American Pathologists guidelines, with daily controls and necessary calibration. Because 248/2,958 (8.4%) hemoglobin measurements were performed on a non-quality-controlled hematology analyzer outside of our main study lab, they were coded as missing and were excluded from analysis.
Serum samples were aliquoted and stored at 80°C. Serum ferritin (SF), serum transferrin receptor (sTfR), C-reactive protein (CRP), and serum cytokines (interleukin-1ß [IL-1ß], IL-6, gamma interferon, tumor necrosis factor alpha [TNF-
], TNF receptor I, and TNF receptor II) were analyzed using a multiplex bead-based platform (Bio-Rad, Hercules, CA) with custom sandwich- or competitive-style bead kits and commercial controls as described previously (2). SF is a measure of stored iron, and sTfR is a circulating form of the transferrin protein receptor, derived mostly from red blood cell precursors, that measures functional iron deficiency or increased erythropoiesis. Total and direct bilirubin levels were assayed using commercial kits (ThermoDMA, Louisville, CO), and indirect bilirubin was calculated and used as a measure of hemolysis.
Ultrasound. Study subjects were evaluated by ultrasound, using a Hitachi EUB-200 instrument with a 3.5-MHz probe (Hitachi Medical Corp., Tokyo, Japan), at baseline and at the 12-month follow-up. Spleen size was measured in the left intercostal oblique view and reported in centimeters.
Definitions. Reinfection was defined as having S. japonicum eggs in the stool after treatment. In total, 355/1,955 (18.2%) posttreatment stool results were intermittently negative following reinfection at a previous follow-up. These results were considered to be false-negative results (falling under the limit of detection for stool examination), and egg counts were imputed using the "last value carried over" method (31). The duration of reinfection was defined as the time since the first positive stool sample plus 1.5 months, the midpoint between observations. Individuals without a negative stool sample at 4 weeks posttreatment were considered reinfected shortly after treatment. Subjects who were not reinfected following successful treatment were regarded as the reference group in the analyses of reinfection.
All-cause anemia was defined based on the following age- and gender-specific Hgb cutoffs recommended by the WHO (35): Hgb level of <11.5 g/dl for children under 12 years old, Hgb level of <12 g/dl for children of 12 to 14 years and females of
15 years, and Hgb level of <13 g/dl for males of
15 years. Mild, moderate, and severe anemia were defined as hemoglobin levels below the WHO cutoff but
9 g/dl,
7 and <9 g/dl, and <7 g/dl, respectively.
Recent studies evaluating the usefulness of SF for determining iron deficiency in anemic individuals from different populations concluded that a single cutoff SF level of
30 ng/ml has a high sensitivity and specificity for detecting iron-deficiency anemia (IDA), even when there is concurrent inflammation (16, 32). IDA was defined as the presence of anemia with an SF level of
30 ng/ml. Non-iron-deficiency anemia (NIDA) was defined as the presence of anemia with an SF level of >30 ng/ml. Notwithstanding the good performance of the single SF measure, several studies have shown that the addition of an sTfR measure has a higher sensitivity than does using SF alone (20, 27). However, due to the lack of an international standard for sTfR and a lack of commercial control for our assay, we were unable to utilize sTfR for our definition of IDA. Nevertheless, to assess the effect of potential misclassification that occurs when using a single SF cutoff, we used an alternative SF cutoff of 70 ng/ml to define iron deficiency in individuals with concurrent inflammation (defined as a CRP level of >8.2 µg/ml).
IL-6 responders were defined as individuals with detectable levels of IL-6 in serum (>1.45 pg/ml). Hyperbilirubinemia was defined as an indirect (unconjugated) bilirubin level of >1 mg/dl. Splenomegaly was defined as a spleen size of >2 standard deviations (SD) above the reference mean for a healthy Chinese population (13).
Statistical analyses. Data forms collected in the field were bar coded and entered using Filemaker 5.5 software (Filemaker Inc., Santa Clara, CA). Variables that were not normally distributed (all egg counts and SF, sTfR, CRP, and all cytokine levels) were loge transformed [ln(n + 1)]. Analyses were implemented in SAS, version 9.1.3 (SAS Institute, Cary, NC). Cross-sectional comparisons of observations at baseline and at the final follow-up were made using linear and logistic regression. For longitudinal analyses, repeated-measure linear regression models and marginal logistic regression models with generalized estimating equations (GEE) were used to account for within-person correlations for continuous and dichotomous outcomes, respectively (3). ß-Estimates presented for linear regression models represent mean changes of the outcome per unit change of the exposure. ß-Estimates presented for logistic regression represent changes in log odds of the outcome per unit change of the exposure. All cross-sectional analyses and longitudinal linear regression analyses took clustering of observations within households into account, using hierarchical linear models (3). Adjustment for both within-household and within-person correlations was not technically possible for marginal logistic regression analyses and may have led to slightly smaller standard errors. Robust standard errors and P values are reported. P values of <0.05 were considered statistically significant.
Our analytic approach was to simultaneously model (i) the temporal pattern of effects of reinfection (duration of reinfection), (ii) the intensity-associated differences in effects (intensity of reinfection), and (iii) any effect modification between the two (interactions). By allowing nonlinear (quadratic) associations between the outcomes and durations of reinfection, we were able to differentiate between acute and delayed effects of reinfection. Model selection was based on the best fit of observed data. An a priori decision was made to adjust all models for potential confounding by age, sex, SES, concurrent hookworm infection, and S. japonicum egg count at baseline. The baseline egg count reflects the exposure to S. japonicum prior to treatment and was included as a proximate marker of susceptibility to infection and cumulative exposure, which may influence immunologic reactions to reinfection and thus susceptibility to anemia. Figure 1 presents estimated mean Hgb, SF, and sTfR levels for an "average" individual (individual with a median duration of reinfection and a mean value for each covariate) with different intensities of reinfection at the 12- and 18-month follow-ups, calculated using the regression model parameters presented in Table 2. Similarly, Fig. 2 presents estimated odds ratios for all-cause anemia, IDA, and NIDA for an average individual with different intensities of reinfection at the 12- and 18-month follow-ups, calculated using the regression model parameters presented in Table 3. The attributable fraction in the exposed population (AFE) was estimated for anemia outcomes, using adjusted prevalence estimates obtained from the GEE models described above. The AFE is interpreted as the proportion of anemia in the S. japonicum-infected group that would not have occurred if S. japonicum reinfection would have been prevented.
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FIG. 1. Effects of reinfection with S. japonicum on mean hemoglobin (A), geometric mean serum ferritin (B), and serum transferrin receptor (C) levels at 12 and 18 months posttreatment. Means (symbols) and 95% confidence limits (error bars) were estimated using multilevel repeated-measure linear regression and were adjusted for potential confounding influences of age, sex, socioeconomic status, baseline S. japonicum egg count, and concurrent hookworm infection and for within-person correlation and clustering within households. Means were estimated by assuming the median reinfection duration at each follow-up, i.e., 7.5 and 13.5 months at the 12- and 18-month follow-ups, respectively, for different representative infection intensities based on the distribution of egg counts at each follow-up (3, 10, 22, 73, 212, and 383 epg at the 12-month follow-up and 3, 10, 30, 83, 287, and 483 epg at the 18-month follow-up). Asterisks represent significant differences compared to the group not (yet) reinfected. In panel a, the horizontal line represents the overall mean hemoglobin level at baseline.
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TABLE 2. Multilevel repeated-measure linear regression models of the effects of reinfection with Schistosoma japonicum on mean hematological and iron status measures in 580 7- to 30-year-old patientsa
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FIG. 2. Effects of reinfection with S. japonicum on odds of all-cause anemia (A), iron-deficiency anemia (B), and non-iron-deficiency anemia (C) at 12 and 18 months posttreatment. Odds ratios (symbols) and 95% confidence limits (error bars) were estimated using marginal logistic (GEE) regression and were adjusted for potential confounding influences of age, sex, socioeconomic status, baseline S. japonicum egg count, and concurrent hookworm infection and for within-person correlation. Odds ratios were estimated by assuming the median reinfection duration at each follow-up, i.e., 7.5 and 13.5 months at the 12- and 18-month follow-ups, respectively, for different representative infection intensities based on the distribution of egg counts at each follow-up (3, 10, 22, 73, 212, and 383 epg at the 12-month follow-up and 3, 10, 30, 83, 287, and 483 epg at the 18-month follow-up). Numbers above the error bars represent the attributable fractions in the exposed population, given for significant comparisons only.
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TABLE 3. Marginal logistic regression models of the effects of reinfection with Schistosoma japonicum on the odds of anemia in 580 7- to 30-year-old patientsa
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Hemoglobin concentrations following treatment. Relative to baseline Hgb levels and after adjusting for the effect of reinfection with S. japonicum and other confounders, we saw a significant drop in the mean hemoglobin level at 3 months posttreatment (mean, 0.30 g/dl; 95% confidence interval [95% CI], 0.39 to 0.21) and a subsequent rise to a peak at 15 months posttreatment (mean, 0.52 g/dl; 95% CI, 0.33 to 0.70). Further details of the posttreatment nutritional responses in this cohort have been published elsewhere (1).
Reinfection with S. japonicum. After 12 months of follow-up, 410/496 individuals present (82.7%) were reinfected, and the median duration of reinfection after praziquantel treatment was 7.5 months. After 18 months, 434/486 individuals present (89.3%) were reinfected, and the median duration of reinfection was 13.5 months. Median egg counts for infected individuals were 22 epg (interquartile range, 10 to 73 epg) and 30 epg (interquartile range, 10 to 83 epg) at 12 and 18 months posttreatment, respectively.
Hemoglobin concentration and anemia at 18 months posttreatment. Individuals who were reinfected had a decreased mean Hgb level (0.49 g/dl; 95% CI, 0.82 to 0.16 [P = 0.004]) and increased odds of all-cause anemia (prevalence odds ratio [95% CI], 4.20 [1.65 to 10.65] [P = 0.003]) compared to individuals who were not reinfected at the end of the study. In total, 164/390 S. japonicum-reinfected individuals with a Hgb measurement at the final follow-up were anemic (42.1%); of these anemic, reinfected individuals, 50.6% were classified as having IDA and 49.4% were classified as having NIDA. Only 9/390 (2.3%) and 3/390 (0.8%) reinfected individuals had moderate and severe anemia, respectively.
Impact of reinfection on Hgb.
Using a repeated-measure linear regression model, we assessed the time-dependent relationships between the mean Hgb level and the duration and intensity of reinfection. There was a significant interaction between the duration and intensity of reinfection (egg count squared) (Table 2), indicating that the magnitude of the per-month drop in Hgb level after reinfection increased as a quadratic function of the reinfection intensity. Figure 1A compares pretreatment mean Hgb levels to the estimated mean Hgb levels at the 12- and 18-month follow-ups for uninfected individuals and individuals reinfected at various intensities (i.e., percentiles of the egg count distribution at that follow-up) for the median duration of reinfection at that follow-up. The mean hemoglobin level was lower for all intensities of infection in reinfected individuals than that in uninfected individuals. Importantly, the mean hemoglobin level was lower than or equal to the mean pretreatment hemoglobin level (12.49 g/dl) in the most heavily reinfected individuals (
95th percentile) at 12 months and in all reinfected individuals at 18 months, indicating a complete reversal or absence of treatment effect after 6 months of high-intensity reinfection or 12 months of reinfection at any intensity.
The decreased mean Hgb level in reinfected compared to uninfected individuals coincided with an increased risk of all-cause anemia in all but the lowest-intensity infections (
25th percentile) (Fig. 2A). On average, 30% of all-cause anemia cases in S. japonicum-reinfected individuals at the 18-month follow-up were attributable to reinfection (AFE = 0.30) (Fig. 2A).
Impact of reinfection on iron status.
Compared to that in uninfected individuals, the mean SF level was raised significantly after reinfection, regardless of infection intensity (Fig. 1B), likely as part of the acute-phase response (see below). There was a significant interaction between the duration (duration squared) and intensity of reinfection in the model of mean sTfR levels (Table 2). The mean sTfR level in the uninfected group was higher at 12 months than at 18 months (Fig. 1C). Although this difference was not significant, it may reflect increased erythropoiesis following treatment or a natural fluctuation in iron status. More importantly, after 13.5 months of reinfection, high-intensity infections (
75th percentile) were associated with higher mean sTfR levels than those in uninfected individuals (Fig. 1C). Because the increase in mean sTfR level in heavily infected individuals coincided with the decrease in mean Hgb level for this group (Fig. 1A), elevated sTfR in these individuals likely reflects iron deficiency, although compensatory erythropoiesis cannot be excluded.
Impact of reinfection on type of anemia.
To further evaluate the potential mechanisms involved in S. japonicum-associated anemia, we assessed the associations between different types of anemia and the duration and intensity of reinfection. There was a significant interaction between the duration and intensity of reinfection in the model assessing the probability of IDA but not in the model for NIDA (Table 3). The probability of IDA was not significantly different for reinfected than for uninfected individuals after 7.5 months of reinfection (Fig. 2B). However, the probability of IDA was significantly increased for the heaviest-intensity infections (
90th percentile) after 13.5 months of reinfection (Fig. 2B). This delayed effect suggests an S. japonicum-associated decrease in iron stores that is slowly progressive and leads to IDA only after prolonged exposure. The use of an alternative definition of IDA (see Materials and Methods) led to similar conclusions, with the only difference being that the increased probability of IDA for the heaviest-intensity infections was already apparent after 7.5 months of reinfection and that the odds ratios at 12 and 18 months were approximately 10% and 17% higher, respectively (data not shown).
The odds of NIDA were significantly raised at all reinfection intensities, but the odds and the AFE of NIDA increased with the duration and intensity of reinfection (Fig. 2C). The use of the alternative definition of NIDA resulted in similar conclusions, although the odds ratios at 12 and 18 months were approximately 4.5% and 9% lower, respectively (data not shown).
Impact of reinfection on CRP and serum cytokines. There was a significant interaction between the duration and intensity of reinfection in our repeated-measure model of serum CRP (for duration, ß = 0.013, standard error [SE] = 0.007, and P = 0.073; for S. japonicum egg count, ß = 0.038, SE = 0.011, and P < 0.001; and for duration x S. japonicum egg count, ß = 0.005, SE = 0.002, and P = 0.001). As expected, the mean CRP level for reinfected individuals was significantly raised relative to that for uninfected individuals, regardless of the duration or intensity of reinfection.
There was no interaction between the duration and intensity of reinfection in our model of the IL-6 response (P = 0.71). The intensity and duration of reinfection were both associated with the probability of the IL-6 response (P < 0.0001 and P = 0.002 for intensity and duration, respectively); the log odds of an IL-6 response increased 0.316 (95% CI, 0.212 to 0.420) for every log increase in S. japonicum egg count and decreased 0.081 (95% CI, 0.134 to 0.029) for every month of reinfection. Together, these findings indicate that the probability of an IL-6 response, for any infection intensity, is highest shortly after reinfection but decreases thereafter.
None of the other serum cytokines involved in anemia associated with inflammation (gamma interferon, TNF-
, TNF receptor I, TNF receptor II, and IL-1ß) were associated with reinfection with S. japonicum (data not shown).
Inflammation and anemia. To evaluate the potential mediating role of S. japonicum-associated inflammation in the etiology of anemia, we assessed whether CRP and IL-6 responses predicted mean Hgb and iron status measures and the probability of anemia (Table 4). CRP was significantly associated with all outcomes. Importantly, the positive association between CRP and the mean sTfR level was not confounded by S. japonicum intensity (data not shown), suggesting a direct effect of inflammation on the mean sTfR level. Serum IL-6 responses were associated with increased SF and increased odds of NIDA (Table 4).
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TABLE 4. Impact of S. japonicum-associated cytokines on hematological and iron status measures and prevalence of anemia
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By simultaneously measuring the impact of S. japonicum on hemoglobin, iron status, and inflammatory measures, we were able to assess the potential mechanisms involved with S. japonicum-associated anemia. It is generally held that iron deficiency due to extracorporeal blood loss is the main cause of schistosomiasis-associated anemia (29). A previously published cross-sectional study conducted with this cohort reported increased odds of detectable occult blood in the stools of individuals with high-intensity infection at baseline (
400 epg), suggesting that extracorporeal blood loss due to translocation of eggs through the bowel wall or through inflammatory lesions of intestinal mucosa occurs during high-intensity infections (6). In our current analyses, we found evidence of iron deficiency, increased odds of IDA, and increased mean sTfR levels, even for individuals with significantly lower intensities of reinfection (
80 epg). A lack of evidence of occult blood loss for individuals with <400 epg at baseline may be related to the poor sensitivity of the Hemoccult test. Alternatively, inflammation may be responsible for a reduced intake or absorption of iron, which is supported by the current finding of a positive association between CRP and mean sTfR levels, independent of the S. japonicum reinfection intensity.
Inflammation may mediate iron deficiency in two ways. First, proinflammatory cytokines, in particular TNF-
, IL-1, and IL-6, cause anorexia (11, 26) and thus lead to a decreased intake of dietary iron. Second, several recent studies have found that production of the novel iron regulatory protein hepcidin is up-regulated during inflammation through mediation of IL-6 (22), which in turn inhibits iron efflux from intestinal epithelial cells through its influence on ferroportin (23), thus reducing iron absorption through the gut (24, 34). Whether this mechanism leads to iron depletion in humans with chronic inflammatory disease remains to be investigated. Additional research is needed to assess whether infection with schistosomiasis negatively affects hematological responses to iron supplementation.
Although the overall prevalence of IDA was high (
20%) and we did find an association between S. japonicum and IDA, this type of anemia was only attributable to S. japonicum infection in a minority of individuals with higher-than-average intensities of reinfection, implying that iron deficiency was not a central mechanism in S. japonicum-associated anemia within this 18-month follow-up period. Conversely, approximately 50% of the non-iron-deficiency anemia cases in S. japonicum-reinfected individuals were attributable to S. japonicum. Note that increased odds of NIDA were apparent for all reinfected individuals, regardless of reinfection intensity or duration. We found no evidence that S. japonicum-associated anemia was due to hemolysis or sequestration of erythrocytes due to splenomegaly, nor was macrocytic anemia prevalent. Clinically relevant hemoglobinopathies are likely uncommon in this study area (8, 9). While there is no direct method to assess the presence of anemia associated with inflammation, the exclusion of iron deficiency and other causes of anemia, together with the associations we found between NIDA and inflammatory markers (CRP and IL-6), justifies the interpretation of NIDA as anemia associated with inflammation. In light of these results, the overall decline in hemoglobin 3 months after treatment may also be attributed to proinflammatory immune responses to worm antigens released as worms disintegrate after treatment with praziquantel.
The reliable assessment of iron status is difficult in situations where inflammation is prevalent. This is particularly problematic when attempting to assess whether iron deficiency plays a role in the etiology of an infectious disease. Although several recent clinical studies have provided compelling evidence supporting the use of the sTfR-to-SF ratio for the diagnosis of IDA when there is concurrent inflammation (15, 27), no population-based studies have validated its use in the tropics. The usefulness of different iron status measures in a tropical setting has been evaluated in several recent studies, but most of these are difficult to interpret due to the lack of a gold standard definition of iron deficiency. Although the precise magnitude of the effects of S. japonicum on different types of anemia is likely influenced by misclassification based on the definitions used, conclusions from our definition-based approach (type of anemia) and from our continuous-outcome approach (hemoglobin and sTfR levels) are consistent. In addition, analyses using alternative definitions of IDA and NIDA led to the same conclusions. Nevertheless, the lack of sensitivity and specificity in the definition of outcomes reduces the precision of our estimates and makes it difficult to detect subtle differences between groups.
While our study sample is likely representative of many S. japonicum-infected populations, generalizations of our findings to other populations should be made with care. In this study area, reinfection rates are very high, in part due to the abundance of nonhuman hosts for S. japonicum (18), and therefore the time-dependent associations presented are likely specific to areas with similar transmission ecology. The inflammation-mediated mechanisms discussed above may also apply to other human-specific Schistosoma species. Nevertheless, because differences in the numbers of eggs excreted and, possibly, differences in adaptation of the human host to different species may influence these mechanisms (25), more research is required to assess the proportions of these causes in other Schistosoma species. Another limitation lies in the definition of reinfection, as some patients classified as reinfected may represent individuals who did not experience a full cure. This should not affect the relationships between infection status and anemia type, unless one proposes a very different immune response for new infections versus continued old infections which may be down-modulated. Finally, given the 22% attrition rate from baseline to the final visit, potential bias in the loss of patients to follow up should be discussed. Overall, this might be due to poor subjects not returning, but this was minimized by the provision of transportation and compensation with a day's worth of lost wages. It may also be due to healthy subjects feeling well and not returning. Although either scenario can influence the prevalence of anemia, it is unlikely to affect relationships between the type of anemia and schistosomiasis reinfection, as these were based only on those who attended.
In general, national schistosomiasis control programs targeting communities and schools use annual treatment rounds. Although the mean hemoglobin level in reinfected individuals at 1 year posttreatment was higher than that at baseline, it was significantly lower than that for individuals who were not reinfected at 1 year. This implies that reinfection led to an attenuation of any potential treatment effect within the 1-year treatment interval. Importantly, for individuals reinfected shortly after treatment or at a higher intensity, no net treatment effect was observed after 1 year. Our findings suggest that individuals with high levels of exposure will need repeated chemotherapy, at least once per year, to treat and prevent anemia. However, in areas of intense transmission, schistosomiasis control based on treatment alone is unlikely to be sustainable. Measures to prevent reinfection by reducing exposure should be included, such as improved sanitation, vector (snail) control, and treatment of nonhuman hosts.
In conclusion, our results, together with those of others (17), provide strong evidence for the causal relationship between both chronic and acute S. japonicum infections and anemia. Schistosomiasis japonica, a readily treatable disease, may be responsible for approximately one-fifth of all-cause anemia cases in settings with a high prevalence of this infection. The principle mechanism involved in S. japonicum-associated anemia is that of proinflammatory cytokine-mediated anemia, with iron deficiency playing a role in high-intensity infections. Our findings highlight the complex nature of anemia in tropical settings and underscore the need for combined approaches to treatment, as iron therapy in the context of anemia associated with inflammation will be much less efficacious due to the alteration of iron metabolism.
We thank our field staff for their diligence and energy. We thank the study participants from Macanip, Buri, and Pitogo in Leyte, The Philippines.
Published ahead of print on 21 August 2006. ![]()
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