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Vitamin D supplementation for the prevention of childhood acute respiratory infections: a systematic review of randomised controlled trials

Published online by Cambridge University Press:  27 August 2015

Limin Xiao
Affiliation:
Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui Province, People's Republic of China
Chao Xing
Affiliation:
Shaoxing Center for Disease Control and Prevention, Shaoxing 312000, Zhejiang Province, People's Republic of China
Zhongrong Yang
Affiliation:
Huzhou Center for Disease Control and Prevention, Huzhou 313000, Zhejiang Province, People's Republic of China
Shaojun Xu
Affiliation:
Department of Maternal and Child Health, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, People's Republic of China
Min Wang
Affiliation:
Anhui Institute of Schistosomiasis Control, Hefei 230061, Anhui Province, People's Republic of China
Huarong Du
Affiliation:
Anhui Provincial Family Planning Institute of Science and Technology, Hefei 230031, Anhui Province, People's Republic of China
Kai Liu
Affiliation:
Anhui Provincial Family Planning Institute of Science and Technology, Hefei 230031, Anhui Province, People's Republic of China
Zhaohui Huang*
Affiliation:
Anhui Provincial Family Planning Institute of Science and Technology, Hefei 230031, Anhui Province, People's Republic of China
*
* Corresponding author: Z. Huang, fax +86 551 65171426, email [email protected]
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Abstract

Results from recent trials assessing the effect of vitamin D supplementation on the prevention of childhood acute respiratory infections (ARI) have been inconsistent. In the present study, we determined whether vitamin D supplementation prevents ARI in healthy children and repeated infections in children with previous ARI. We conducted a systematic literature search using MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials. The search included only randomised controlled clinical trials (RCT) comparing vitamin D supplementation with either placebo or no intervention in children younger than 18 years of age. We identified seven RCT and found that the summary estimates were not statistically significantly associated with a reduction in the risk of ARI (relative risk (RR) 0·79, 95 % CI 0·55, 1·13), all-cause mortality (RR 1·18, 95 % CI 0·71, 1·94), or the rate of hospital admission due to respiratory infection in healthy children (RR 0·95, 95 % CI 0·72, 1·26). However, in children previously diagnosed with asthma, vitamin D supplementation resulted in a 74 % reduction in the risk of asthma exacerbation (RR 0·26, 95 % CI 0·11, 0·59; test of heterogeneity, I 2= 0·0 %). Our findings indicate a lack of evidence supporting the routine use of vitamin D supplementation for the prevention of ARI in healthy children; however, they suggest that such supplementation may benefit children previously diagnosed with asthma. Due to the heterogeneity of the included studies and possible publication biases related to this field, these results should be interpreted with caution.

Type
Review Article
Copyright
Copyright © The Authors 2015 

Acute respiratory infections (ARI) are the most important global cause of morbidity and mortality in young children. In 2010, an estimated 11·9 million episodes of severe ARI and 3·0 million episodes of very severe ARI in young children resulted in hospital admissions globally( Reference Nair, Simões and Rudan 1 ). Of the 7·6 million children worldwide who died within the first 5 years of life, almost two-thirds died of infectious diseases, among which pneumonia was the leading cause for a total of 1·396 million deaths( Reference Liu, Johnson and Cousens 2 ).

Although vitamin D is widely recognised for its importance in Ca metabolism and bone health, researchers have spent several years focusing on its growing number of possible non-calcaemic health effects( Reference Holick 3 ). One of the more promising areas of study is the relationship between vitamin D status and respiratory infection. Recent research has indicated that vitamin D may play a role in protecting against ARI by increasing the body's production of naturally acting antibiotics( Reference Esposito, Baggi and Bianchini 4 ). In some observational studies, low plasma levels of calcidiol, the accepted marker of vitamin D status, have been observed to be associated with both an increased risk and a greater severity of infection, particularly the infection of the respiratory tract( Reference Gibney, MacGregor and Leder 5 Reference Roth, Shah and Black 7 ). Although the exact mechanisms by which vitamin D may improve immune responses to infection remain unknown, vitamin D supplementation trials on the prevention and adjunct therapy for infection are ongoing. Given its influence on the immune system and inflammatory cascades, vitamin D may play an important role in both the prevention and treatment of infection( Reference Gunville, Mourani and Ginde 8 ).

Several recent trials investigating the effect of vitamin D supplementation on the prevention of childhood ARI have reported inconsistent results. Therefore, we conducted a study to determine whether vitamin D supplementation prevents ARI in healthy children and repeated episodes of ARI in children previously diagnosed with either asthma or pneumonia.

Materials and methods

Search strategy and selection criteria

We searched MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials (CENTRAL) to identify studies published before 14 March 2014 that evaluated vitamin D supplementation for the prevention of childhood ARI. We used several search terms, including trials (‘randomized controlled trial’, ‘controlled clinical trial’, ‘random allocation’, ‘double-blind method’, ‘single-blind method’, ‘placebo’, ‘randomly’, ‘clinical trial*’ and ‘trial*’), vitamin D (‘vitamin D’, ‘vitamin’, ‘cholecalciferol’, ‘hydroxycholecalciferol’, ‘calcifediol’, ‘ergocalciferol’, ‘calcidiol’, ‘vitamin D/blood/25-hydroxyvitamin D’, ‘1,25-dihydroxyvitamin D’, ‘1-α-hydroxyvitamin D’, ‘1-α-hydroxyvitamin D’, ‘calcitriol’, ‘alfacalcidol’, and ‘paricalcitol’), and ARI (‘pneumonia’, ‘respiratory infection*’, ‘respiratory tract infection*’, ‘lower respiratory tract infection*’, ‘LRTI’, and ‘lower respiratory infection*’). Additional search strategies included hand searches of journals not indexed by the aforementioned electronic sources, Web-based searches, and screening of the reference lists of retrieved studies for additional relevant articles.

The inclusion criteria were as follows: (1) randomised controlled trials (RCT) exploring the effect of vitamin D supplementation on the prevention of ARI, primarily focused on individuals younger than 18 years of age; (2) studies reporting the dosages, modes and durations of vitamin D supplementation; (3) studies reporting the definitions of ARI and the methods used to diagnose ARI or to determine the primary outcomes associated with ARI; (4) studies reporting either the prevalence or the relative risk (RR) estimates, along with either corresponding 95 % CI or raw data enabling the calculation of 95 % CI.

We collected data only from complete published papers, and excluded data from meetings, literature reviews, letters and news articles. We also excluded studies that contained overlapping data. When there were multiple publications involving the same population, the study containing the largest sample size was included. When a study reported results from different subpopulations, we treated the results for each subpopulation independently. We excluded trials that did not include a control group, observational studies and animal studies. We also excluded trials reporting a follow-up rate of < 50 % or not reporting a follow-up rate. Trials in which vitamin D was used in combination with other interventions were not included in the final analysis.

Both the titles and the abstracts of all identified studies were screened independently by two researchers (L. X. and Z. Y.). Studies that appeared to be relevant were selected, and full-text versions were subsequently assessed by the same two reviewers. Disagreements were resolved by either consensus or the involvement of a third reviewer (M. W.). Fig. 1 depicts a flow chart for the selection of the articles.

Fig. 1 Flow chart for the selection of studies for the present meta-analysis.

Data collection and methodological quality assessment

We developed and modified a data abstraction form following a training exercise for investigators. We extracted the following data from the eligible studies: (1) general characteristics (title, first author, journal and year of publication); (2) methodology (type of study, country of origin, sequence generation, allocation concealment, masking or blinding, incomplete outcome data, selective reporting and other sources of bias, follow-up duration, and loss to follow-up); (3) characteristics of participants (recruitment site, enrolment periods, mean age and proportion of male participants); (4) trial and control groups (number of eligible trial groups, vitamin D doses and routes of administration, trial duration, frequency, and details of comparison); (5) primary outcomes. We contacted the authors of the included studies to obtain additional information regarding data items that required clarification.

The methodological quality of sequence generation, allocation concealment, blinding, missing outcome data, selective reporting, and other biases was subsequently assessed using the Cochrane Collaboration's risk of bias method. Each domain was rated as low, high or unclear regarding the risk of bias, and the overall risk of bias was rated as low (low risk of bias for all domains), high (high risk of bias for one or more domains) or unclear (unclear risk of bias for one or more domains)( Reference Higgins and Green 9 ).

Discrepancies were resolved either through discussion with other team members (S. X., K. L. and H. D.) or contact with the original investigators, all of whom received data extraction sheets with requests for correction.

Outcomes

The primary outcome measures of the present study were the prevention of ARI (including influenza, pneumonia and asthma) in healthy children, asthma exacerbation in children with previous ARI, and recurrent pneumonia in children with a prior history of pneumonia. The secondary outcomes of the present study were the prevention of influenza and pneumonia in healthy children, all-cause mortality, the rate of hospital admission due to ARI, and changes in mean serum vitamin D levels.

Statistical analysis

For binary outcomes, we calculated risk ratios (RR); for continuous outcomes, we calculated weighted mean differences. A random-effects model was used to estimate the pooled RR and weighted mean differences to account for the heterogeneity of the estimates, and to provide more conservative estimates compared with those generated using the fixed-effects model( Reference Greenland 10 ). The heterogeneity of the outcome measures among the studies was assessed using the χ2 test-based Q statistic( Reference Cochran 11 ). A significant Q statistic (P< 0·10) indicated heterogeneity in the outcome measures between the studies. We quantified statistical heterogeneity with the I 2 statistic, and used ‘small’, ‘moderate’ and ‘large’ heterogeneity to correspond to I 2 values of 25, 50 and 75 %, respectively( Reference Higgins, Thompson and Deeks 12 , Reference Higgins and Thompson 13 ). We did not conduct subgroup analyses or meta-regression analyses because of the small number of included RCT. We performed sensitivity analyses to establish the robustness of the primary outcomes. To establish the robustness of the primary outcomes via sensitivity analyses, we utilised a fixed-effects model and excluded studies containing small sample sizes. Publication bias was investigated using a funnel plot, in which the standard error of log RR of each study was plotted against its RR, and plot asymmetry was subsequently assessed using Egger's linear regression test( Reference Egger, Davey Smith and Schneider 14 ). If the regression line did not pass through the origin, asymmetry was assigned; the intercept α provided a measure of asymmetry. The larger the deviation of α from zero, the more pronounced the asymmetry. The analyses were performed using Stata (version 11.0). All P values were two-sided. A P value of < 0·05 was considered to be statistically significant.

Results

Characteristics of the eligible studies

Fig. 1 shows the study profile. A total of 1329 papers were identified via the database search, and fifteen papers were identified via reference lists and hand searches. Following screening, 1276 papers were excluded, and the sixty-eight remaining full-text articles were assessed for eligibility. We excluded an ongoing trial that did not provide any usable data( Reference Maguire, Birken and Loeb 15 ). A total of seven RCT were ultimately included in the meta-analysis (Table 1) ( Reference Urashima, Segawa and Okazaki 16 Reference Camargo, Ganmaa and Frazier 22 ). Most of the trials (n 6/7) were conducted in Asian countries, and all study participants were younger than 18 years of age (Table 1). Of these included trials, six provided data regarding the incidence of ARI; four provided data regarding all-cause mortality; two provided data regarding the incidence of pneumonia; two provided data regarding the incidence of repeated episodes of pneumonia; two reported data regarding the rate of hospital admission; and one reported data regarding the incidences of influenza A and influenza-like illnesses.

Table 1 Characteristics of clinical trials included in the meta-analysis*

FLU, influenza; ILI, influenza-like illness; PNE, pneumonia; ARI, acute respiratory infection.

* The quality of each included trial was evaluated using the modified Jadad score.

1 μg vitamin D = 40 IU.

The risk of bias was assessed using a risk-of-bias graph (Fig. 2). All of the RCT exhibited adequate sequence generation, and most of the RCT exhibited good allocation concealment, reporting of blinding methods, and incomplete outcome data; however, the extent of selective reporting in three of the seven studies was unclear.

Fig. 2 (a) Risk-of-bias graph and (b) risk-of-bias-summary graph. , Low risk of bias; , unclear risk of bias; , high risk of bias. (A colour version of this figure can be found online at http://www.journals.cambridge.org/bjn).

Effect of vitamin D supplementation on the primary outcomes

Overall effects

Data regarding ARI were reported by four trials. We did not observe a statistically significant decrease in the incidence of ARI (RR 0·79, 95 % CI 0·55, 1·13). There was evidence of significant heterogeneity between the studies (I 2= 73·6 %, P= 0·010; Fig. 3).

Fig. 3 Effects of vitamin D supplementation on the primary outcomes. (A colour version of this figure can be found online at http://www.journals.cambridge.org/bjn).

Data regarding all-cause mortality were reported by four trials. We did not observe any statistically significantly association between the summary estimates for the vitamin D supplementation group and a reduction in the risk of all-cause mortality (RR 1·02, 95 % CI 0·92, 1·13). There was no significant heterogeneity observed between the studies (I 2= 0 %, P= 0·920; Fig. 3).

Data regarding pneumonia were reported by three trials. We did not observe any statistically significantly association between the summary estimates for the vitamin D supplementation group and a reduction in the risk of pneumonia (RR 1·06, 95 % CI 0·90, 1·25). There was no significant heterogeneity was observed between the studies (I 2= 0 %, P= 0·952; Fig. 3). Data regarding pneumonia recurrence were reported by two trials. Interestingly, pooled analyses demonstrated that vitamin D supplementation significantly increased the risk of pneumonia recurrence (RR 1·17, 95 % CI 1·00, 1·38). There was evidence of significant heterogeneity between the studies (I 2= 95·1 %, P< 0·001) (Fig. 3).

Data regarding asthma exacerbations triggered by respiratory infections among children with newly diagnosed asthma were reported by two trials. The summarised results indicated that treatment with vitamin D significantly reduces the risk of asthma exacerbation (RR 0·28, 95 % CI 0·12, 0·64). No significant heterogeneity was observed between the studies (I 2= 0·0 %, P= 0·355) (Fig. 3). Data regarding the rate of hospital admission due to respiratory infections were reported by two trials. The summary estimates for the vitamin D supplementation group were not statistically significantly associated with a reduction in the risk of hospital admission (RR 0·95, 95 % CI 0·71, 1·25). No significant heterogeneity was observed between the studies (I 2= 0 %, P= 0·358; Fig. 3).

Data regarding influenza A were reported by only one study. Influenza A occurred in eighteen (10·8 %) of the 167 children in the vitamin D supplementation group compared with thirty-one (18·6 %) of the 167 children in the placebo group (RR 0·58, 95 % CI 0·34, 0·99; Fig. 3).

Fig. 4 shows the changes in plasma 25-hydroxyvitamin D (25(OH)D) levels for both the intervention and control groups over a period of 3 months for the three trials from which such data were available. The plasma levels of 25(OH)D in the vitamin D supplementation group were significantly higher than those in either the control or placebo group after 3 months (weighted mean difference = 9·06, 95 % CI 5·43, 12·70). There was evidence of significant heterogeneity between the studies (I 2= 87·9 %, P< 0·001).

Fig. 4 Effects of vitamin D supplementation on plasma 25-hydroxyvitamin D levels more than 3 months later (z= 1·98, P= 0·048). To convert nmol/l to ng/ml for 25-hydroxyvitamin D concentrations, divide by 2·496. WMD, weighted mean difference. (A colour version of this figure can be found online at http://www.journals.cambridge.org/bjn).

Sensitivity analyses

The sensitivity analyses of ARI are included in Table 2. Using a fixed-effects model and excluding trials containing fewer than thirty participants per group yielded results similar to those of the primary analysis. The other sensitivity analyses demonstrated that the effect size was significantly reduced (RR 0·76, 95 % CI 0·54, 1·07 v. RR 1·02, 95 % CI 0·92, 1·13).

Table 2 Sensitivity analyses of acute respiratory infections after vitamin D supplementation (Risk ratios and 95 % confidence intervals)

Evaluation of publication bias

We assessed funnel plot asymmetry using Egger's linear regression test. There was no evidence of publication bias regarding either ARI (intercept α = − 2·12, 95 % CI − 9·09, 4·66) or all-cause mortality (intercept α = 0·37, 95 % CI − 1·39, 2·13). We also generated funnel plots and visually examined these plots for signs of asymmetry. We generated two funnel plots to assess the publication bias of the RR of both ARI and all-cause mortality. For all-cause mortality, the asymmetry observed in the funnel plots was minimal; in contrast, the asymmetry was significant for ARI, which may indicate either the absence of trials with negative results or publication bias (Fig. 5). We did not complete funnel plots for the other outcomes, as only a few studies contributed to the outcome measures.

Fig. 5 Funnel plots for (a) acute respiratory infections and (b) all-cause mortality. RR, risk ratio. (A colour version of this figure can be found online at http://www.journals.cambridge.org/bjn).

Discussion

We included and examined seven RCT to assess the effect of vitamin D supplementation on the prevention of ARI in children. Our findings revealed that vitamin D supplementation did not significantly reduce the risk of ARI, all-cause mortality, or the rate of hospital admission in healthy children. Due to the small number of included studies, there was a lack of evidence supporting the routine use of vitamin D supplementation for ARI prevention in healthy children. However, in children previously diagnosed with asthma, vitamin D supplementation may reduce the risk of asthma exacerbation triggered by a respiratory infection. Based on the primary analysis, the I 2 value was >50 %, primarily because the primary analysis consisted of a very heterogeneous mixture of endpoints. These results should be interpreted with caution due to the small number of included trials and the significant heterogeneity between them.

The observed lack of an effect of vitamin D supplementation on the prevention of ARI in the present study may have resulted from differences in the dosing regimens used in the included trials. Bergman et al. ( Reference Bergman, Lindh and Bjorkhem-Bergman 23 ) reported that the protective effect of vitamin D was larger in studies using once-daily dosing compared with bolus dosing; all studies using bolus dosing reported a null effect. Unfortunately, we did not perform subgroup analyses based on dosing regimens due to the small number of included trials. In all observational studies, the relationship between inadequate vitamin D status and susceptibility to an ARI was significant. For example, Jolliffe et al. ( Reference Jolliffe, Griffiths and Martineau 24 ) revealed evidence of a relationship between inadequate vitamin D status and susceptibility to an ARI based on observational studies involving large numbers of participants of all age groups in diverse geographical settings with wide distributions of serum 25(OH)D concentrations. Quraishi et al. ( Reference Quraishi, Bittner and Christopher 25 ) also observed a nearly linear relationship between vitamin D status and the cumulative frequency of childhood community-acquired pneumonia. Additional trials regarding vitamin D supplementation for the prevention of ARI should be conducted in populations with a high prevalence of vitamin D deficiency at baseline, using doses sufficient to induce sustained elevations in serum 25(OH)D concentrations and studies powered to detect clinically important subgroup effects( Reference Jolliffe, Griffiths and Martineau 24 ).

Regarding pneumonia, one of the two studies (Urashima et al. ( Reference Urashima, Segawa and Okazaki 16 )) had no discernible impact on the results. Thus, the present meta-analysis merely presented the results obtained by Manaseki-Holland et al. ( Reference Manaseki-Holland, Maroof and Bruce 18 ) in 2012, providing no further insight into the matter. Regarding pneumonia recurrence, heterogeneity was too large to meaningfully pool estimates (I 2= 95 %). Both included RCT were conducted by Semira Manaseki-Holland and utilised the same study population, inclusion criteria, and definitions of outcomes( Reference Manaseki-Holland, Qader and Isaq Masher 17 , Reference Manaseki-Holland, Maroof and Bruce 18 ). We believe that there was no clinical heterogeneity or methodological heterogeneity, and that statistical heterogeneity primarily accounted for the high level of heterogeneity observed between these studies. Additionally, Manaseki-Holland et al. ( Reference Manaseki-Holland, Qader and Isaq Masher 17 , Reference Manaseki-Holland, Maroof and Bruce 18 ) used a single dose of 100 000 units of oral vitamin D3 in their trials; the results of other studies indicated that a daily dose schedule exerts superior therapeutic effects to large bolus doses, and that vitamin D exerts immunosuppressive effects at higher doses( Reference Bergman, Lindh and Bjorkhem-Bergman 23 , Reference Heaney 26 Reference Martineau 28 ). The administration of large intermittent bolus doses of vitamin D results in both a steep and a rapid increase in circulating 25(OH)D levels, followed by a slow decline. Such peaks and troughs may have potentially deleterious effects on the immune response; concentrations of 25(OH)D >56 ng/ml have been linked to impaired immunity, which may indicate that vitamin D suppresses adaptive responses to infection and boosts innate responses( Reference Kimball, Vieth and Dosch 29 ). Given these conflicting results, as well as the small number of included studies, more rigorously designed clinical trials are necessary to ascertain the actual effects of vitamin D supplementation on the prevention of pneumonia recurrence in children.

Based on the results of recent cross-sectional and basic scientific studies( Reference Majak, Olszowiec-Chlebna and Smejda 19 ), we speculate that vitamin D supplementation may prevent the development of asthma. However, no meta-analysis of intervention trials regarding the prevention of asthma attacks using vitamin D supplements has been conducted; therefore, this hypothesis has not been tested. We determined that vitamin D supplementation may reduce the risk of asthma exacerbation triggered by ARI in children with asthma. Due to the small number of included studies and their small sample sizes, this result should be interpreted with caution; however, our preliminary analysis supports the implementation of full-scale RCT. As reported, vitamin D supplementation simultaneously enhances the effectiveness of the antimicrobial response of the innate immune system and diminishes the natural consequences of inflammation, which appear to exert an adverse effect on asthma pathogenesis( Reference Brightling, Berry and Amrani 30 ). A study conducted by Damera et al. ( Reference Damera, Fogle and Lim 31 ) demonstrated that vitamin D activity decreased the growth of airway smooth muscle cells stimulated by platelet-derived growth factor in vitro, and their result was not contradicted by our findings.

Each of the trials included in the present study was randomised, double-blinded and placebo-controlled. These criteria eliminated the possibility of reverse causation and minimised both recall and selection bias. The risk of bias was very low as a result of the use of a modified Jadad scale. However, the observational studies were characterised by a larger number of confounding factors; the incidence of ARI may have been influenced by recall bias, which may have exaggerated the effects of vitamin D supplementation.

The present meta-analysis has limitations. First, the serum concentrations of 25(OH)D were reported by only three trials; therefore, we do not know whether the baseline serum concentrations of 25(OH)D modified the effects of vitamin D supplementation. Second, we did not perform either subgroup analyses or meta-regression analyses investigating the influence of the characteristics of the trials on the observed effects of vitamin D because of the small number of trials included in the meta-analysis.

Conclusion

In summary, the present meta-analysis did not reveal sufficient evidence to support a beneficial effect of vitamin D supplementation on the prevention of ARI, the reduction of all-cause mortality, or the rate of hospital admission due to respiratory infections in healthy children. Among children previously diagnosed with asthma, vitamin D supplementation appears to significantly reduce the risk of asthma exacerbation triggered by a respiratory infection. However, these results should be interpreted with caution due to the small number of included trials and the significant heterogeneity observed between them.

Acknowledgements

The authors would like to thank each of their colleagues for their valuable contributions to this article; S. H. Xu and Huang Yong for kindly reviewing and correcting the manuscript; Y. Zhou and Y. R. Fang for their helpful comments and assistance in the literature search.

The present study was supported by the National Natural Science Foundation of China (S. X., grant number no. 81402700). The National Natural Science Foundation of China (S. X., grant number no. 81402700) had no role in the design and analysis of the study or in the writing of this article, but contributed to the interpretation of the findings or the preparation of the manuscript. The present review received no specific grant from any funding agency, commercial or not-for-profit sectors.

The authors' responsibilities were as follows: L. X. and Z. H. reviewed the literature and selected the eligible studies; C. X., Z. Y. and S. X. extracted the data; M. W. and H. D. performed the statistical analysis; L. X., Z. H. and K. L. wrote the manuscript. All authors reviewed and approved the final manuscript.

The authors declare that they have no conflicts of interest.

References

1 Nair, H, Simões, EA, Rudan, I, et al. (2013) Global and regional burden of hospital admissions for severe acute lower respiratory infections in young children in 2010: a systematic analysis. Lancet 381, 13801390.CrossRefGoogle ScholarPubMed
2 Liu, L, Johnson, HL, Cousens, S, et al. (2012) Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet 379, 21512161.Google Scholar
3 Holick, MF (2007) Vitamin D deficiency. N Engl J Med 357, 266281.Google Scholar
4 Esposito, S, Baggi, E, Bianchini, S, et al. (2013) Role of vitamin D in children with respiratory tract infection. Int J Immunopathol Pharmacol 26, 113.Google Scholar
5 Gibney, KB, MacGregor, L, Leder, K, et al. (2008) Vitamin D deficiency is associated with tuberculosis and latent tuberculosis infection in immigrants from sub-Saharan Africa. Clin Infect Dis 46, 443446.CrossRefGoogle ScholarPubMed
6 Laaksi, I, Ruohola, JP, Tuohimaa, P, et al. (2007) An association of serum vitamin D concentrations < 40 nmol/l with acute respiratory tract infection in young Finnish men. Am J Clin Nutr 86, 714717.Google Scholar
7 Roth, DE, Shah, R, Black, RE, et al. (2010) Vitamin D status and acute lower respiratory infection in early childhood in Sylhet, Bangladesh. Acta Paediatr 99, 389393.CrossRefGoogle ScholarPubMed
8 Gunville, CF, Mourani, PM & Ginde, AA (2013) The role of vitamin D in prevention and treatment of infection. Inflamm Allergy Drug Targets 12, 239245.Google Scholar
9 Higgins, JPT & Green, S (2008) Cochrane Handbook for Systematic Reviews of Interventions. Chichester: Wiley and Sons.CrossRefGoogle Scholar
10 Greenland, S (1987) Quantitative methods in the review of epidemiologic literature. Epidemiol Rev 9, 130.Google Scholar
11 Cochran, WG (1954) The combination of estimates from different experiments. Biometrics 10, 101129.CrossRefGoogle Scholar
12 Higgins, JP, Thompson, SG, Deeks, JJ, et al. (2003) Measuring inconsistency in meta-analyses. BMJ 327, 557560.Google Scholar
13 Higgins, JP & Thompson, SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21, 15391558.CrossRefGoogle ScholarPubMed
14 Egger, M, Davey Smith, G, Schneider, M, et al. (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629634.Google Scholar
15 Maguire, JL, Birken, CS, Loeb, MB, et al. (2014) DO IT Trial: vitamin D outcomes and interventions in toddlers – a TARGet Kids! randomized controlled trial. BMC Pediatr 14, 37.Google Scholar
16 Urashima, M, Segawa, T, Okazaki, M, et al. (2010) Randomized trial of vitamin D supplementation to prevent seasonal influenza A in schoolchildren. Am J Clin Nutr 91, 12551260.Google Scholar
17 Manaseki-Holland, S, Qader, G, Isaq Masher, M, et al. (2010) Effects of vitamin D supplementation to children diagnosed with pneumonia in Kabul: a randomised controlled trial. Trop Med Int Health 15, 11481155.Google Scholar
18 Manaseki-Holland, S, Maroof, Z, Bruce, J, et al. (2012) Effect on the incidence of pneumonia of vitamin D supplementation by quarterly bolus dose to infants in Kabul: a randomised controlled superiority trial. Lancet 379, 14191427.Google Scholar
19 Majak, P, Olszowiec-Chlebna, M, Smejda, K, et al. (2011) Vitamin D supplementation in children may prevent asthma exacerbation triggered by acute respiratory infection. J Allergy Clin Immunol 127, 12941296.Google Scholar
20 Kumar, GT, Sachdev, HS, Chellani, H, et al. (2011) Effect of weekly vitamin D supplements on mortality, morbidity, and growth of low birthweight term infants in India up to age 6 months: randomised controlled trial. BMJ 342, d2975.CrossRefGoogle ScholarPubMed
21 Choudhary, N & Gupta, P (2012) Vitamin D supplementation for severe pneumonia – a randomized controlled trial. Indian Pediatr 49, 449454.CrossRefGoogle ScholarPubMed
22 Camargo, CA Jr, Ganmaa, D, Frazier, AL, et al. (2012) Randomized trial of vitamin D supplementation and risk of acute respiratory infection in Mongolia. Pediatrics 130, e561e567.Google Scholar
23 Bergman, P, Lindh, AU, Bjorkhem-Bergman, L, et al. (2013) Vitamin D and respiratory tract infections: a systematic review and meta-analysis of randomized controlled trials. PLOS ONE 8, e65835.CrossRefGoogle ScholarPubMed
24 Jolliffe, DA, Griffiths, CJ & Martineau, AR (2013) Vitamin D in the prevention of acute respiratory infection: systematic review of clinical studies. J Steroid Biochem Mol Biol 136, 321329.Google Scholar
25 Quraishi, SA, Bittner, EA, Christopher, KB, et al. (2013) Vitamin D status and community-acquired pneumonia: results from the third National Health and Nutrition Examination Survey. PLOS ONE 8, e81120.Google Scholar
26 Heaney, RP (2012) Vitamin D – baseline status and effective dose. N Engl J Med 367, 7778.Google Scholar
27 Hollis, BW (2011) Short-term and long-term consequences and concerns regarding valid assessment of vitamin D deficiency: comparison of recent food supplementation and clinical guidance reports. Curr Opin Clin Nutr Metab Care 14, 598604.Google Scholar
28 Martineau, AR (2012) Bolus-dose vitamin D and prevention of childhood pneumonia. Lancet 379, 13731375.Google Scholar
29 Kimball, S, Vieth, R, Dosch, HM, et al. (2011) Cholecalciferol plus calcium suppresses abnormal PBMC reactivity in patients with multiple sclerosis. J Clin Endocrinol Metab 96, 28262834.Google Scholar
30 Brightling, C, Berry, M & Amrani, Y (2008) Targeting TNF-α: a novel therapeutic approach for asthma. J Allergy Clin Immunol 121, 510, quiz 1–2.CrossRefGoogle ScholarPubMed
31 Damera, G, Fogle, HW, Lim, P, et al. (2009) Vitamin D inhibits growth of human airway smooth muscle cells through growth factor-induced phosphorylation of retinoblastoma protein and checkpoint kinase 1. Br J Pharmacol 158, 14291441.Google Scholar
Figure 0

Fig. 1 Flow chart for the selection of studies for the present meta-analysis.

Figure 1

Table 1 Characteristics of clinical trials included in the meta-analysis*

Figure 2

Fig. 2 (a) Risk-of-bias graph and (b) risk-of-bias-summary graph. , Low risk of bias; , unclear risk of bias; , high risk of bias. (A colour version of this figure can be found online at http://www.journals.cambridge.org/bjn).

Figure 3

Fig. 3 Effects of vitamin D supplementation on the primary outcomes. (A colour version of this figure can be found online at http://www.journals.cambridge.org/bjn).

Figure 4

Fig. 4 Effects of vitamin D supplementation on plasma 25-hydroxyvitamin D levels more than 3 months later (z= 1·98, P= 0·048). To convert nmol/l to ng/ml for 25-hydroxyvitamin D concentrations, divide by 2·496. WMD, weighted mean difference. (A colour version of this figure can be found online at http://www.journals.cambridge.org/bjn).

Figure 5

Table 2 Sensitivity analyses of acute respiratory infections after vitamin D supplementation (Risk ratios and 95 % confidence intervals)

Figure 6

Fig. 5 Funnel plots for (a) acute respiratory infections and (b) all-cause mortality. RR, risk ratio. (A colour version of this figure can be found online at http://www.journals.cambridge.org/bjn).