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Original Research Communications |
1 From the Center for Human Nutrition, The Johns Hopkins University School of Hygiene and Public Health, Baltimore, and the International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B): Centre for Health and Population Research, Dhaka, Bangladesh.
2 Supported by cooperative agreements between The Johns Hopkins University School of Hygiene and Public Health, Baltimore, and the Office of Health and Nutrition, US Agency for International Development, Washington, DC (DAN-5116-1-00-8051-00 and HRN-A-00-97-00015-00). The study was a collaborative project between The Johns Hopkins University and the ICDDR,B: Centre for Health and Population Research. The ICDDR,B Centre for Health and Population Research is supported by agencies that share its concern for the health and population problems of developing countries. These are listed at the end of the text.
3 Address reprint requests to AL Rice, Division of Human Nutrition, Room W2041, The Johns Hopkins University School of Hygiene and Public Health, 615 North Wolfe Street, Baltimore, MD 21205. E-mail: arice{at}jhsph.edu.
See corresponding editorial on page 672.
| ABSTRACT |
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Objective: We used receiver operating characteristic analyses and standardized differences to compare the ability of these indicators to detect a response to postpartum vitamin A supplementation in lactating Bangladeshi women.
Design: At 2 wk postpartum, women were randomly assigned to receive either a single dose of vitamin A [200000 IU (60000 retinol equivalents); n = 74] or placebo (n = 73). Data from maternal serum and breast milk collected 3 mo postpartum and from infant serum collected 6 mo postpartum were used to examine the ability of serum retinol, the MRDR ratio, and breast-milk vitamin A to discriminate between individuals in the supplemented and unsupplemented groups. Breast milk was collected by expressing the entire contents of one breast that had not been used to feed an infant for
2 h (full samples) or without controlling the time since the last breast-feeding episode (casual samples).
Results: Casual breast-milk samples performed better than full breast-milk samples in detecting a response to maternal supplementation. The MRDR ratio performed better than serum retinol in both the women and their infants. Overall, the most responsive indicator was the measurement of breast-milk vitamin A per gram of fat in casual breast-milk samples.
Conclusions: Breast-milk vitamin A and the MRDR ratio are responsive indicators of vitamin A status, especially in women with mild vitamin A deficiency.
Key Words: Vitamin A supplementation serum retinol modified-relative-dose-response test breast milk lactation women Bangladesh
| INTRODUCTION |
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The following indicators were used in previous studies to assess the vitamin A status of lactating women: serum retinol concentration, the relative-dose-response ratio, the modified-relative-dose-response (MRDR) ratio, conjunctival impression cytology, night blindness, and breast-milk vitamin A concentration, expressed either per volume or per gram of milk fat (110). These indicators have been used to characterize the extent of deficiency in populations by estimating the proportion of individuals with indicator values classified as abnormal or to detect differences in the vitamin A status of populations after an intervention. Indicators used for the latter purpose are called indicators of response (11).
Conflicting results have emerged regarding the relative performance of serum retinol, the MRDR ratio, and breast-milk vitamin A as indicators of response in women. The MRDR ratio was found to be more responsive than serum retinol in one study (9) but not in another (2). When comparing the responsiveness of the breast-milk indicators derived from samples collected
1 h after the last breast-feeding episode, one group of investigators found breast-milk vitamin A concentration per gram of fat to perform better than the concentration per volume (7), whereas other investigators found the opposite (2).
Because the vitamin A in breast milk is found almost exclusively in the milk fat globules, factors that affect breast-milk fat content affect the vitamin A concentration as well. A recent report by the World Health Organization (12) proposed 2 methods to either control or adjust for sampling-induced variations in breast-milk fat and vitamin A concentrations. First, to obtain representative breast-milk samples from individuals, the entire contents of one breast that has not been used to feed an infant for a set amount of time can be collected (full samples). For population-based studies, small amounts of breast milk can be collected from women at various times of day without controlling for the time since the last breast-feeding episode (casual samples). Alternatively, the fat content of breast-milk samples can be measured and the breast-milk vitamin A content expressed per gram of milk fat, rather than per volume. The effectiveness of these different methods for controlling sampling-induced variation in breast-milk fat and vitamin A concentrations has not been widely evaluated.
In the present report we used data collected in a postpartum maternal vitamin A supplementation trial conducted in a population of mildly deficient Bangladeshi women to compare the performance of serum retinol, the MRDR ratio, breast-milk vitamin A content per volume, and breast-milk vitamin A content per gram of milk fat as indicators of response. To examine the effect of the breast-milk sampling method on indicator performance, we also compared the breast-milk indicator data obtained from milk samples collected by the full and casual sampling methods.
| SUBJECTS AND METHODS |
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2 h. Casual breast-milk collection occurred during home visits when mothers manually expressed
5 mL breast milk into glass collection jars without controlling for the time since the last breast-feeding episode. Over the course of the study, each woman provided 2 full and 2 casual breast-milk samples according to a schedule that resulted in an equal distribution of the women in each treatment group to the 2 collection methods over time (Table 1
Breast-milk vitamin A concentrations were assayed by the HPLC method described in detail elsewhere (13). The fat content of each breast-milk sample was measured in triplicate by using the creamatocrit method and Lucas et al's (14) equation for converting the volume measurement to grams of milk fat per liter milk. Breast-milk vitamin A content was calculated as the concentration per volume (µmol/L) and as the concentration per gram of milk fat (µg/g). The latter value was obtained by dividing the vitamin A concentration per volume (µg/L) by the fat concentration (g/L). According to criteria established by the World Health Organization, values
1.05 µmol/L and
8 µg/g fat were considered indicative of low breast-milk vitamin A content (12). Breast-milk data from the 2-wk and 3-mo visits were used for the analyses in this report.
Serum retinol concentrations and the modified-relative-dose-response test
During the supplementation study, the MRDR test was conducted at each visit on the 50% of women assigned to full breast-milk collection (Table 1
) and on all infants at 6 mo of age. The field protocol for the MRDR test and the details of the HPLC assay used in measuring serum retinol concentrations and MRDR ratios are described elsewhere (13). MRDR ratios
0.06 were considered indicative of inadequate liver stores in both women and infants (12). Serum retinol concentrations <0.70 µmol/L and <1.05 µmol/L were considered indicative of vitamin A deficiency in infants and women, respectively (12, 15). Data from serum samples collected from women at 2 wk and 3 mo and from infants at 6 mo were used for the analyses in this report.
Statistical methods
The comparability of baseline characteristics in the vitamin A and placebo groups was examined by using Student's t test for continuous variables and the chi-square test for categorical variables. P values < 0.05 were considered statistically significant. To obtain normally distributed data for the t test, the values for breast-milk vitamin A content per volume, breast-milk vitamin A content per gram of fat, and maternal MRDR ratios were transformed by using the natural log function and the transformed values were tested. However, for ease of understanding, the untransformed values of the baseline data are reported. Statistical analyses were conducted with SPSS 7.5 for WINDOWS 95 (SPSS Inc, Chicago).
The performance of the indicators of response to supplementation was assessed by using standardized differences (11), calculations of sensitivity and specificity, receiver operating characteristic (ROC) curves (7, 1618), and the corresponding areas under the ROC curves (19). Standardized differences were calculated from normally distributed data as d/SD, where d is the absolute difference in means between the 2 treatment groups and SD is the average of the SDs of the groups. The calculation for the standardized difference is related to the more familiar t test for between-group differences, which incorporates the observed sample size into the denominator of the equation (20). For the present analysis, the natural logtransformed values of breast-milk vitamin A content per volume, breast-milk vitamin A content per gram of fat, and maternal and infant MRDR ratios were used in the calculation of standardized differences. In this type of analysis, larger standardized differences represent more responsive indicators.
For the calculations of sensitivity and specificity, individuals in the placebo and vitamin A groups were considered as "diseased" and "nondiseased," respectively, and the standard formulas (21) were applied to nontransformed data. Sensitivity and specificity are traditionally defined as the probabilities that a test (an indicator with a given cutoff value) will correctly identify the diseased and nondiseased individuals, respectively. Sensitivity was calculated as TP/(TP + FN) and specificity was calculated as TN/(TN + FP), where TP is true positive [placebo group members with a positive test result (ie, low breast-milk vitamin A)], FN is false negative [placebo group members with a negative test result (ie, adequate breast-milk vitamin A)], FP is false positive (vitamin A group members with a positive test result), and TN is true negative (vitamin A group members with a negative test result).
ROC curves were plotted to compare graphically the ability of the indicators to discriminate between the vitamin A and placebo groups over a range of vitamin A status. The curves were constructed by using the sensitivity and specificity data obtained when the cutoff for each indicator was varied over the entire range of indicator results. The data were plotted as sensitivity versus 1 - specificity. In this type of plot, points in the lower left portion of the curve reflect cutoffs at lower vitamin A status and those in the upper right portion reflect cutoffs at higher status. When comparing indicators, the higher the sensitivity is for any given level of specificity, the more responsive the indicator is at that level of status.
The diagonal line running from the lower left to the upper right corner of the ROC curve is called the line of indifference and represents an indicator that does not discriminate between groups better than chance alone. In qualitative terms, the closer a curve is to the upper left corner of the graph, the better the indicator discriminates between the 2 groups. The curve for a perfectly discriminating indicator passes through the point of 100 - specificity and 100 - sensitivity. Indicators that are equally responsive over the entire range of cutoff values in a data set are represented by a symmetric curve.
The area under the curve and corresponding 95% CI was calculated for each indicator of response as a quantitative measure of discriminating ability (16). Indicators that discriminate perfectly between groups have an area of 1.0, whereas those that discriminate no better than chance alone have an area of 0.5. To compare the performance of indicators measured in the same individuals, the difference in the areas under the curve was also calculated for the following pairs of indicators: maternal MRDR ratio and maternal serum retinol concentration, infant MRDR ratio and infant serum retinol concentration, breast-milk vitamin A content per volume and breast-milk vitamin A content per gram of fat in casual breast-milk samples, and breast-milk vitamin A content per volume and breast-milk vitamin A content per gram of fat in full breast-milk samples. The MEDCALC software package (version 4.0; MedCalc, Brussels) was used to create the ROC curves and to calculate and test differences in the areas under the curves (22).
| RESULTS |
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The response to postpartum maternal vitamin A supplementation is shown in Table 3
, in which the indicators are listed in descending order of their ability to discriminate between the 2 treatment groups 2.5 mo after supplementation. On the basis of the absolute values of the standardized differences, the most responsive indicator was breast-milk vitamin A content per gram of fat in casual breast-milk samples. The maternal MRDR ratio, breast-milk vitamin A content per volume in casual samples, and the infant MRDR ratio were somewhat less discriminating, followed by serum retinol concentrations. The least discriminating indicators were the breast-milk vitamin A indicators from full breast-milk samples.
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± SD) and 31.9 ± 12.4 g/L in the vitamin A and placebo groups, respectively. The corresponding values for the casual samples were 46.3 ± 21.2 and 46.4 ± 16.8 g/L, respectively. The 95% CIs for the areas under the ROC curve for the maternal MRDR ratio, infant MRDR ratio, and breast-milk indicators derived from casual breast-milk samples did not include 0.50. This finding suggests that, over the entire range of vitamin A status, these were discriminating indicators of response. No significant differences in the areas under the curve were found when the following indicators were directly compared with each other: maternal MRDR ratio and maternal serum retinol, infant MRDR ratio and infant serum retinol, breast-milk vitamin A content per volume and breast-milk vitamin A content per gram of fat in casual breast-milk samples, and breast-milk vitamin A content per volume and breast-milk vitamin A content per gram of fat in full breast-milk samples. However, the 95% CIs for maternal serum retinol, infant serum retinol, and breast-milk vitamin A content per volume and per gram of fat in full breast-milk samples all included 0.50, suggesting that these indicators did not discriminate between the 2 treatment groups better than chance alone.
The ability of the indicators to discriminate between the vitamin A and placebo groups over a range of vitamin A status is shown in a series of ROC graphs (Figures 14![]()
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). In qualitative terms, curves further away from the line of indifference represent more responsive indicators at a given vitamin A status. In these plots, points in the lower left portion of the curve reflect lower vitamin A status whereas those in the upper right portion reflect higher status. To provide a frame of reference, selected points on the graph have been labeled with the indicator values.
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1.40 µmol/L and
80% had concentrations
1.05 µmol/L. In contrast, the mean serum retinol concentration of infants in both groups combined was
0.80 µmol/L and nearly all (90%) had MRDR ratios indicative of low liver stores. At this overall lower vitamin A status, the responsiveness of the MRDR ratio did not differ markedly across the range of observed values.
The ability of breast-milk vitamin A content per volume and per gram of fat to discriminate between the treatment groups is shown for full (Figure 3
) and casual (Figure 4
) breast-milk samples separately. In full breast-milk samples, neither indicator was very informative (ie, curves for both were close to the line of indifference). In casual breast-milk samples, both indicators were responsive and breast-milk vitamin A content per gram of fat was more responsive than breast-milk vitamin A content per volume at low status.
| DISCUSSION |
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Our analysis of the postintervention data from the trial in Bangladesh showed that the indicators we evaluated differed in their ability to detect a response to postpartum maternal vitamin A supplementation. This analysis relied on the randomized nature of the trial to ensure that there were no important baseline differences in the vitamin A status of the women who contributed data to the 3-mo follow-up visit. If such imbalances existed, our conclusions about the responsiveness of the indicators could be biased. However, the available data do not suggest that this occurred. There were no statistically significant between-group differences in the baseline characteristics assessed in all women nor were there significant differences in the vitamin A status indicators for the subset of the women who completed the same type of visit at the baseline and 3-mo time points (data not shown).
In this study, the lactating women were mildly vitamin A deficient at 2 wk postpartum and responded to supplementation with one 200000-IU (600000-RE) dose of vitamin A. We found that the MRDR ratio was more responsive than serum retinol, especially in women with low vitamin A status. The standardized differences and areas under the ROC curve showed that the MRDR ratio could detect differences in vitamin A status even when serum retinol concentrations fell in a range generally considered adequate for adults.
Our findings are consistent with the theoretical mechanism involved in the MRDR test. The MRDR ratio assesses liver vitamin A stores by measuring the buildup of apo-retinol binding protein (apo-RBP) that occurs as vitamin A stores decline (8). Although serum retinol concentrations are homeostatically controlled over a wide range of liver stores, the appearance of the vitamin A2 analog bound to accumulated apo-RBP, which occurs during the MRDR test, appears to be less tightly regulated. Therefore, the MRDR ratio should detect differences in vitamin A status when serum retinol concentrations do not.
Among infants, the MRDR ratio was also a more discriminating indicator than serum retinol. However, in contrast with that in the women, the responsiveness of the MRDR ratio in the infants did not differ markedly over the observed range of vitamin A status. Many infants had MRDR ratios that far exceeded the cutoff (
0.06) considered indicative of low liver stores. In addition, the mean serum retinol concentration for infants was lower and the range of values was smaller than that observed in the women. The increase in breast-milk vitamin A intake may have been large enough to cause a response in the infant's MRDR ratio, but insufficient to build liver stores to a level that would influence serum retinol concentrations. Alternatively, the serum retinol concentrations of these infants may have been high enough to be under homeostatic control.
In a study in which Indonesian children aged 6 mo to 6.6 y with serum retinol concentrations of
0.80 µmol/L were supplemented with 210 µmol retinyl palmitate, a response toward improved MRDR ratios was also observed in the absence of a significant increase in serum retinol concentrations (27). The authors noted that the circulating serum retinol concentrations of Asian children are quite low in comparison with those of American children and suggested that secondary factors, such as macronutrient or micronutrient deficiencies or infections, may also act to maintain serum retinol concentrations at an overall lower level.
The finding that the responsiveness of breast-milk vitamin A content per volume and per gram of fat differed markedly according to the breast-milk sampling method was unexpected. We had hypothesized that the full sampling method would result in samples that were more representative of individual women, but that at a population level, both the full and casual sampling methods would produce groups of samples that were equally effective in detecting a response to the intervention. This was not the case. Although both sampling methods and both indicators showed that women who received vitamin A produced breast milk with a higher vitamin A content than that in their unsupplemented counterparts, the observed differences were much smaller in the full breast-milk samples.
This finding may be explained by the variability in the fat content and therefore in the vitamin A content of the breast-milk samples collected. Throughout the study, the more controlled protocol of full breast-milk collection produced samples consistently lower in fat than did the casual sampling protocol. The fat content of the full breast-milk samples was similar to results published for mature breast milk (33 g/L) (23), whereas the fat content of the casual breast-milk samples was
35% higher. When the breast-milk samples were stratified by fat content rather than collection method, the treatment groups remained balanced with respect to fat content but the standardized differences were larger for the higher-fat samples. In these samples (containing >36 g fat/L, the median value for all breast-milk samples), the standardized differences between the treatment groups were 0.81 and 0.78 for the natural logtransformed values of breast-milk vitamin A content per volume and per gram of fat, respectively. For the lower-fat samples (those containing
36 g fat/L), the corresponding standardized differences were 0.04 and 0.05.
Our analysis showed that the indicators studied differed in their ability to detect a response to postpartum maternal vitamin A supplementation. We conclude that the MRDR ratio is more efficient than serum retinol in detecting a response to an intervention in populations of women in whom serum retinol concentrations are close to the homeostatically controlled range. In infants, the MRDR ratio is more responsive than serum retinol among populations with extremely poor liver stores, but only marginally low serum retinol concentrations. However, when the dynamics of vitamin A storage and transfer are of interest, both of these indicators will provide valuable information.
Our evaluation of the breast-milk indicators supports the World Health Organization recommendation that the logistically simpler method of casual breast-milk collection can be used to obtain data for evaluating interventions targeted to women (12). We found that the indicators derived from casual breast-milk samples were more informative as indicators of response than were those derived from full breast-milk samples. In the casual samples, expressing breast-milk vitamin A content per gram of fat rather than per volume improved the discriminating ability of the indicator. Because breast-milk fat content is relatively easy to measure by the creamatocrit method (14), even under field conditions, it should be measured whenever possible.
| ACKNOWLEDGMENTS |
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| REFERENCES |
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