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Role of multivitamins and mineral supplements in preventing infections
http://www.100md.com 《英国医生杂志》
     1 Chemical Pathology Department, Royal Hallamshire Hospital, Sheffield S10 2JF, 2 Department of Health Sciences, University of Leicester, Leicester LE1 6TP

    Correspondence to: A El-Kadiki alia@elkadiki.fsnet.co.uk

    Objective To evaluate the effectiveness of multivitamins and mineral supplements in reducing infections in an elderly population.

    Design Systematic review and meta-analysis of randomised controlled trials.

    Data sources Medline and other databases. Reference lists of identified articles were inspected for further relevant articles.

    Selection of studies Trials were included if they evaluated the effect of multivitamins and mineral supplements on infections in an elderly population.

    Review methods Studies were assessed for the methodological quality by using the Jadad instrument. If the data required for the analyses were not available from the published articles we requested them from the original study authors. Meta-analysis was undertaken on three outcomes: the mean difference in number of days spent with infection, the odds ratio of at least one infection in the study period, and the incidence rate ratio for the difference in infection rates. Data on adverse events were also extracted.

    Results Eight trials met our inclusion criteria. Owing to inconsistency in the outcomes reported, only a proportion of the trials could be included in each meta-analysis. Multivitamins and mineral supplements were found to reduce the mean annual number of days spent with infection (three studies) by 17.5 (95% confidence interval 11 to 24, P < 0.001). The odds ratio for at least one infection in the study period (three studies) was 1.10 (0.81 to 1.50, P = 0.53). The infection rate ratio (four studies) was 0.89 (0.78 to 1.03, P = 0.11). Reporting of adverse events was poor.

    Conclusion The evidence for routine use of multivitamin and mineral supplements to reduce infections in elderly people is weak and conflicting. Study results are heterogeneous, and this is partially confounded by outcome measure.

    Elderly people constitute the fastest growing population segment of societies in the developed world.1 In the United Kingdom the number of people older than 85 will continue to double every 30 years (1961: 300 000; 1991: 800 000; 2021: 1 500 000).2 Ageing is associated with physiological and economical changes that compromise nutritional status.3 In addition, ageing has long been associated with an increased susceptibility to infections, which are very common in older people. Moreover, elderly people are two to 10 times more likely to die of a variety of infections than are young adults.4

    Public interest in vitamin supplements is enormous: 20-30% of the population in developed countries currently use such supplements.5 Millions of people worldwide take multivitamin and mineral supplements, hoping to promote health, but few studies have documented their benefits, which has raised concern in the literature recently.5 6 It has been shown that in elderly people, supplementation with different nutrients improves immune status. Most of these studies looked at the effect of micronutrients on vaccine responses and other surrogate markers of immune response.7–16 The clinical importance of these findings is still a subject of debate; some believe that the micronutrients have a major role17 and others believe that they have only a minor role18 in reducing the frequency of infections in elderly people.

    We undertook a systematic review and meta-analysis of randomised controlled trials evaluating the use of multivitamin and mineral supplements to prevent infections in an elderly population. We focus on studies that evaluate multivitamin and mineral supplements and exclude those that investigate single vitamins or minerals since multivitamin supplements are more widely used.

    Methods

    We searched computerised publication databases to identify relevant randomised controlled trials (AMED, Biological s, British Nursing Index, CINAHL, Citation Indexes (Science and Social Sciences), Cochrane Database of Systematic Reviews (CDSR), Database of s of Reviews of Effects (DARE), EBM Reviews, Embase, International Bibliographic Information on Dietary Supplements (IBIDS), Medline, NHS Centre for Reviews and Dissemination databases, and PreMedline). The searches covered the period from 1966 to the first week of January 2004. We supplemented this search by examining published reviews, guidelines, Health Evidence Bulletin Wales, and conference s (for details of the specific search strategies used, see appendix 1 on bmj.com). We scrutinised the reference lists of identified relevant articles to identify any further studies missed by the previous searches.

    Selection

    In order to be included in the review, a study had to be a randomised placebo controlled trial, evaluating a combination of multivitamins and mineral supplements in an elderly population. Studies also had to report an infection related outcome.

    Data extraction and quality assessment

    After an initial scoping exercise on the included trial reports, we decided to focus our attention on the three most widely used and reported outcomes: the mean difference in number of days spent with infection, the odds ratio of at least one infection in the study period, and the incidence rate ratio for the difference in infection rates. Additionally, we extracted any data on adverse events. The authors extracted all outcome data relating to infections and where disagreements existed they reached consensus through discussion. If data required for the planned analyses were not available from the published reports, we wrote to the corresponding authors of the primary studies and requested the necessary information. We used the Jadad scoring system to assess the methodological quality of the individual randomised controlled trials.19

    Quantative data synthesis

    We used random effects models to perform meta-analyses if the heterogeneity between studies was estimated to be greater than zero; otherwise we used the model reduced to a fixed effect model. We used weighted Poisson regression to combine the continuous outcome (the mean difference in number of days of infection over 12 months) on the mean difference scale, the binary outcome (one or more infections during the study period) on the (log) odds ratio scale, and the incidence rate (the rate of infections during the study period).

    Although we intended to use funnel plots to assess the possibility of publication bias, the relatively small number of studies reporting each outcome precluded such an assessment. Similarly, we had planned to use meta-regression to assess heterogeneity between studies, but this was not possible because of the limited data available. We undertook this review and reported it in accordance with the guidelines set out in the QUOROM statement.20 We used Stata, version 8.2 (StataCorp, College Station, TX: StataCorp LP, 2003) for all statistical analyses.

    Results

    Figure 1 outlines the results of the trial selection process. We screened a total of 1490 s from the combined searches. This identified 36 potentially relevant studies, but on obtaining and reading the articles, only eight met the inclusion criteria.21–28 All eight trials were placebo controlled. Table 1 provides details on design characteristics and quality assessment scores for the included studies. Variability between studies is considerable with respect to duration of follow-up, infections assessed, and number of subjects. Jadad scores were reasonable for all studies except one,27 but this probably, at least in part, reflects the brevity of the study report. Table 1 also notes that three of the trials28 25 22 used a 2x2 factorial trial, and only the two most relevant arms are included in this meta-analysis. Table 2 gives the exact formulation of the multivitamin and mineral interventions given in each trial and indicates where differences between trials exist (these differences are considered further in the discussion).

    Fig 1 Results of literature search and selection of randomised controlled trials for the meta-analyses. Values are numbers of trials (QUOROM statement flow diagram)

    Table 1 Characteristics of the trials included in the meta-analyses

    Table 2 Details of composition of multivitamin and mineral supplements given in each trial

    As indicated in the methods, the outcome measures reported across the trials were not standardised. Table 3 provides a matrix indicating which trials reported which outcomes and could therefore be included in each meta-analysis.

    Table 3 Reporting of infections by different definition of outcome (binary)

    Meta-analysis of first outcome

    Three trials23 26 27 reported mean difference of number of days spent with infections on multivitamins and minerals compared with placebo over 12 months. Data are provided in figure 2, indicating that all three trials individually show a (significant) reduction in days of infection for the multivitamin and mineral group and the pooled estimate of a benefit of approximately 17.5 days (95% confidence interval 11 to 24) is highly significant (P < 0.001). Although the direction of results is consistent, studies are heterogeneous (the I2 statistic, which indicates the proportion of variability in the weighted mean differences attributable to heterogeneity, is estimated to be 97.3%, which is considered (very) large).29 We had a concern that the reported standard deviations for this outcome seemed to be very small and may in fact be standard errors. Hence we performed an extreme sensitivity analysis in which we re-analysed the data under the assumption that this error had been made (by inflating the reported values by multiplying them by the number of subjects minus 1) in all three trials; the pooled estimate remained similar and still significant (14 day benefit, 10 to 18, P < 0.001).

    Fig 2 Random effects meta-analysis of outcome: mean difference in number of days of infection between multivitamin+supplement and placebo groups in 12 months

    Meta-analysis of second outcome

    Three trials22 24 25 reported at least one infection during the study period for vitamins and minerals compared with placebo. As figure 3 indicates, the odds ratios for two of the three studies included are greater than one, and the pooled odds ratio is 1.10 (0.81 to 1.50) (this is a fixed effect analysis as the between study heterogeneity was estimated as zero). Hence this meta-analysis provides little support for the benefit of multivitamin and minerals; however, the wide confidence interval makes the findings inconclusive (P = 0.53).

    Fig 3 Fixed effect meta-analysis of outcome: odds ratio for at least one infection during the study period between multivitamin+supplement and placebo groups

    Meta-analysis of third outcome

    Four trials21 25 27 28 reported the incidence rate ratio of infection for vitamins and minerals compared with placebo. The pooled incident risk ratio for the fixed effect model is 0.89 (0.78 to 1.03; fig 4). Hence there is an indication that multivitamins and minerals may reduce the number of infections, but this does not reach conventional significance levels (P = 0.11).

    Fig 4 Fixed effect meta-analysis of outcome: incidence rate ratio for infection between multivitamin+supplement and placebo groups

    Reporting of adverse events

    Reporting of adverse event outcomes for the trials was so incomplete that meta-analysis was not possible. We summarise the data that could be extracted. One trial reported some dropouts (four in the treatment group and one in the placebo group) because of nausea, which in our interpretation could be attributable to the intervention.24 Two further trials indirectly implied that no adverse events causing dropout occurred (by citing the presence of adverse events in other studies using higher doses).22 28 Two more trials stated clearly that there were no dropouts owing to the effects of the intervention.25 26 No mention of adverse events was given in the remaining three trials.21 23 27

    Discussion

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