Journal List > Allergy Asthma Immunol Res > v.9(3) > 1052652

Feng, Xiang, Jin, Gao, Huang, Shi, Chen, and Chen: Efficacy of Sublingual Immunotherapy for House Dust Mite-Induced Allergic Rhinitis: A Meta-Analysis of Randomized Controlled Trials

Abstract

Purpose

Allergic rhinitis (AR) has become a global issue for a large part of the general population. Sublingual immunotherapy (SLIT) has been used extensively to treat persistent allergic rhinitis (PAR). Although systematic reviews have confirmed the effectiveness of SLIT for the treatment of AR, a considerable number of studies using extracts of house dust mites (HDMs) for immunotherapy found no consensus on basic treatment parameters and questioned the efficacy of SLIT.

Methods

In this study, we evaluated SLIT for PAR by a meta-analysis of randomized controlled trials (RCTs). Medline, Embase, and Cochrane Library database searches were performed for RCTs on the treatment of PAR by SLIT that assessed clinical outcomes related to efficacy through May 2016. Descriptive and quantitative information was abstracted. An analysis was performed with standardized mean differences (SMDs) under a fixed or random effects model. Subgroup analyses were performed. Heterogeneity was assessed using the I2 metric.

Results

In total, 25 studies were eligible for inclusion in the meta-analysis for symptom scores and 15 studies for medication scores. SLIT was significantly different from the controls for symptom scores (SMD=1.23; 95% confidence interval [CI]=1.74 to 0.73; P<0.001). For medication scores, significant differences for SLIT were also observed versus the controls (SMD=-1.39; 95% CI=-1.90 to -0.88; P<0.001).

Conclusions

Our meta-analysis indicates that SLIT provided significant symptom relief and reduced the need for medications in PAR. In this study, significant evidence was obtained despite heterogeneity with regard to the use of mite extract. Specifically, the mite extract used was provided by the patients with PAR. Furthermore, to confirm both the objective outcomes and the effective doses of HDM allergen extracts, experimental data should be obtained from large high-quality population-based studies.

INTRODUCTION

Allergic rhinitis (AR) has become a global health problem that affects a large part of the general population.1 According to previous reports, the house dust mite (HDM) is regarded as the most probable inhalant allergen.2 HDM-induced AR is also related to an increased risk of asthma.3 Additionally, compared with other kinds of aeroallergens, if people are exposed to HDM allergens for a long time, the symptoms seem to be more chronic and severe.4 In fact, the prototypic perennial allergen (i.e., HDMs) have not been confirmed, although more and less mite allergens can be found in the early autumn and winter, respectively.5 Symptomatic treatment remains the first treatment choice for patients with AR. However, these methods are costly and impose significant economic burdens on individuals and nations.67 Allergen immunotherapy is the guideline-recommended treatment for AR.8910 Unlike symptomatic drugs, specific immunotherapy provides unique and appropriate management that transforms the process of AR. Remarkably, early treatment of AR with specific immunotherapy may even prevent it from evolving into asthma.1112
Sublingual immunotherapy (SLIT) is regarded as an effective therapy, and is recommended by the World Allergy Organization (WAO) on the basis of relevant research.13 However, a later study on AR using extracts of HDMs demonstrated that there was no consensus on fundamental therapy parameters.14
In evidence-based medicine (EBM), data obtained from meta-analyses and randomized controlled trials (RCTs) are the most convincing regarding the efficacy of an intervention.1516 Both Cochrane's studies and reported meta-analyses171819 confirmed the effectiveness of AR-related immunotherapy. In 2009, to our knowledge, the first meta-analysis of RCTs examining SLIT for HDM-induced AR and allergic asthma20 showed that there was no apparent difference in the sub-analyses on children and adults, indicating that more persuasive data are required. The needed data may now be available because of the large number of reported trials since then. In this study, we investigated the efficacy of SLIT with HDM extracts for AR to resolve the controversy related to the efficacy of desensitisation to this kind of allergen.

MATERIALS AND METHODS

We searched for well-powered RCTs within the last 26 years (1990-2016) on the treatment of PAR. RCTs assessing outcomes of AR-related symptom and/or medication scores were enrolled. The Cochrane Library, Medline, and Embase were searched using Boolean combinations of the following: (“sublingual” or “swallow”) and (“immunotherapy” or “desensitization” or “immunologic”) and (“allergic” or “hay fever” or “rhinitis” or “rhinoconjunctivitis”). When reports pertained to the same patients at different follow-up periods, the one with the longest follow-up was enrolled to avoid duplication. Alternatively, we included all pertinent studies as long as there was no overlap in the information provided whenever multiple reports related to the same trial with different outcomes. Finally, whenever RCTs with multiple intervention and control arms were assessed, for the analysis we retained the placebo arm as the control group and the SLIT arm closest to the US Food and Drug Administration-ratified dosage scheme as the active comparator. Data were requested from authors and study sponsors in cases where data were not reported in published articles or were unsuitable for inclusion in the meta-analysis. Multiple available scores related to rhinitis symptoms were included (i.e., rhinitis symptoms only, rhinoconjunctivitis symptoms, or rhinoconjunctivitis and asthma symptoms) between rhinitis-only scores, which were preferred, followed by rhinoconjunctivitis symptom scores. Regardless of the type and number of outcomes, studies assessing SLIT were enrolled to estimate efficacy in the meta-analysis.

Data extraction

We extracted information on study characteristics and demographics, including investigators, publication year, and journal title, total and per-arm sample sizes, population characteristics, treatment indications, dose and modalities, study duration, rhinitis-related outcomes, and definitions thereof. Continuous outcomes were assessed by the mean difference and standard deviation, which included nasal symptom score and medication score. Data extraction was conducted by 2 investigators (B.F., H.X.) independently with differences resolved by consensus.

Quality assessment

It is essential to evaluate potential biases in the studies selected for a systematic literature review or meta-analysis. Risk of bias in the selected RCTs was assessed according to the Cochrane Collaboration's Risk of Bias tool in Review Manager (RevMan) 5.3 (The Nordic Cochrane Center, The Cochrane Collaboration, Copenhagen, Denmark).

Statistical analysis

The meta-analyses included outcomes of symptom scores and medication scores. The degree of heterogeneity in the estimates was measured, and sources of heterogeneity were explored by removing possible study outliers, and conducting subgroup and sensitivity analyses. Both random effects and fixed effects models were used. Direct pair-wise comparisons of each modality compared with a placebo were undertaken in RevMan 5.3 (The Nordic Cochrane Centre, The Cochrane Collaboration). Two main clinical outcomes for improvement in AR are decreases in symptoms and medication use, as reflected in composite summary scores. We quantified the extent of heterogeneity with the I2 metric (range, 0%-100%), with values of >75% indicating considerable heterogeneity. The observed between-study heterogeneity was explained by performing analyses in prior defined subgroups of trials, and subgroup-specific differences in the effect of the intervention were also defined. Publication bias was examined by funnel plots per assessed outcome and we further assessed asymmetry using Egger regression, which assesses whether there is a significant relationship between the effect sizes and their precision as well as through funnel plots.

RESULTS

Study selection

Briefly, of the 4,390 citations retrieved initially through the search algorithm, we finally included 25 eligible clinical trials21222324252627282930313233343536373839404142434445 assessing 3,674 randomized patients. The trials that we excluded from the meta-analysis were not RCTs; moreover, reports that were duplicates and studies with unsuitable data were excluded (Fig. 1).

Population and study characteristics

The characteristics of the included studies are summarised in Table 1. The trials were published from 1990 to 2016. The majority of the trials assessed patients of primarily European backgrounds (13 studies, 2,845 participants). Other patient backgrounds included Eastern Asia (5 studies, 590 participants), Western Asia (5 studies, 149 participants), Oceania (1 study, 30 participants), and Africa (1 study, 60 participants). The largest trial included 992 participants. The SLIT used in the studies in different units was standardized; 19 trials provided the allergens in drops, and 6 provided them in tablets. The period of study drug or placebo administration ranged from 6 to 36 months. The remaining 12 trials only included pediatric patients, with ages ranging from 3 to 18 years. Regarding the studies, patients were sensitised to house dust mites (Dermatophagoides farinae or Dermatophagoides pteronyssinus), cats, or dogs. The prevalence of AR-related comorbidities differed among the included studies. The cumulative doses were variable and measured in different units. Most studies were of high quality and double-blinded, and intention-to-treat analyses were conducted in four such studies. The risk of bias for all studies is shown in Fig. 2 and summarised in Fig. 3.

Patient adherence

In the overall population, 539 (14.6%) patients discontinued treatment. Treatment discontinuation was due to adverse events (AEs) in 109 (3.0%) patients, lack of compliance in 70 (1.9%), loss to follow-up in 75 (2.0%), and poor efficacy in 33 (0.9%). Two trials did not provide data regarding discontinuation.3941

Assessed outcomes and evidence synthesis

Symptom scores

The 25 studies provided enough data to allow a quantitative evidence synthesis based on the symptom scores. Overall, SLIT statistically significantly reduced the daily nasal severity symptom score (SMD=1.23; 95% CI=1.74 to 0.73; P<0.001; Fig. 4), indicating a 1.24 decrease in symptom scores. Significant heterogeneity was found among the studies. Visual inspection of the funnel plot indicated asymmetry (Fig. 5).

Medication scores

The type of rescue medication varied across the included studies: systemic antihistamines (available in all studies), naphazoline nitrate as a decongestant, topical antihistamines, topical nasal corticosteroids, and systemic corticosteroids. Information on the use of rescue medication was available in 18 studies. Nevertheless, the tools used to assess the use of rescue medication differed substantially among studies. Overall, SLIT reduced the use of rescue medication (SMD=-1.39; 95% CI=-1.90 to -0.88; P<0.001; Fig. 6), corresponding to a 1.12 reduction in the SD for the assessed scores. Significant heterogeneity was found among the studies. Visual inspection of the funnel plot indicated asymmetry (Fig. 7).

Subgroup and sensitivity analysis

We performed a subgroup analysis, evaluating the trials that used SLIT with different modalities. The reduction in symptom scores was significant with tablets compared with drops. Analyses of children who received SLIT did not show a significant effect on symptom scores (Table 2).
Post hoc sensitivity analyses using the fixed effects model did not substantially change the overall significance for AR symptoms or medication scores. When a sensitivity analysis was conducted in which small studies (n<30) were excluded, we did not find significant changes in any primary outcome of AR. Analogous results were obtained when excluding open label trials for AR symptoms and medication scores. Excluding those studies with dropout rates higher than 20%, the reduction was statistically significant for AR symptoms and rhinitis medication (Table 3).

Publication bias

Funnel plots showed some visual indications of asymmetry for SLIT symptom scores and medication scores. Egger regression produced P values of 0.046 and 0.061 for SLIT symptom scores and medication scores, respectively. Thus, the regression did not provide evidence of publication bias for the studies investigating SLIT medication scores; however, there was evidence of potential publication bias or asymmetry for SLIT symptom scores. The number of studies (25 for symptom scores and 15 for medication scores) also could limit the power of the Egger regression.

DISCUSSION

The present systematic review and meta-analysis was based on 25 RCTs examining the efficacy of SLIT for perennial AR that included 3,631 patients. In 2009, Compalati et al.20 published the first–to our knowledge–meta-analysis examining SLIT for PAR, mentioned limitations and the contrasting results, recommended the more persuasive data are required. Our meta-analysis showed that, in perennial allergic rhinitis, treatment with SLIT provides an improvement of AR symptoms (SMD=1.23; 95% CI=1.74 to 0.73; P<0.001) and a reduction of symptomatic medication use (SMD=1.39; 95% CI=1.90 to 0.88; P<0.001) compared with placebo. Although a review46 of studies found no consensus on basic treatment parameters and questioned the efficacy of SLIT, a considerable number of our included studies support our results. Moreover, multiple systematic reviews474849 have resulted in recommendations for the use of SLIT in the management of perennial AR. The author of a recent review49 also highlighted evidence supporting the efficacy of SLIT in the management of allergic respiratory diseases.
From forest plots for the subgroup of age (Supplementary Figure, we detected SLIT produced significant reductions in adult patients with AR, but not in children (P=0.060). Interestingly, if open-label randomized controlled trials were excluded, this tendency should more obviously (P=0.160). This may be due to the following reasons, suggested in the publications included in the present analysis: lack of effectiveness due to low dosage, poor compliance of children, and the small numbers of patients. The authors of another review50 argued that the severity of disease in patients included in some studies was insufficient to enable the detection of treatment effects. Thus, as has been suggested,46 more trials are needed for the development of recommendations regarding the use of SLIT for pediatric AR caused by dust mites.
The results of subgroup analysis demonstrated that SLIT administration in drop (P<0.001) or tablet (P=0.002) form resulted in significant differences in symptom scores. Most SLIT tablet studies showed significantly reduced AR symptoms. However, many of the included SLIT drop studies were unsatisfactory in terms of symptom scores. Doubtless, the immunologic mechanism of different SLIT modalities (drops and tablets) is similar, and the efficacy depends on allergen type, maintenance and cumulative dose. The information obtained from the literature on SLIT drop studies suggests they are undesirable, may due to the dosage is not applied under guidance and the short duration of immunotherapy-treatment period. Moreover, SLIT tablet studies are associated significantly with symptom relief and decreased rescue medication use in PAR. Unfortunately, the number of SLIT tablet studies is limited (n=6), so the efficacy of SLIT tablets requires further verification in additional, larger clinical trials, as suggested by others.4648
Immunotherapy is generally considered more effective in monosensitised than polysensitised patients. Our meta-analysis confirms this point of view because almost all studies of polysensitised children show insignificant results in terms of efficacy.
Reported treatment-related AEs occurred at comparable rates in patients receiving SLIT and a placebo. Oral pruritus and throat irritation were the most common treatment-related AEs, and no case of malignancy was reported. One review47 showed that SLIT was safer than SCIT, with no death reported during 23 years of testing and clinical use. Although anaphylactic reactions fall within the range of rare, life-threatening events, very large samples are required for their appropriate assessment, and their quantification requires the use of passive and active surveillance systems.
Our study has certain limitations. Initially, differences in the baseline severity of perennial AR, the prevalence of patients with respiratory allergic complications, the scores used for assessment, pharmaceutical preparations, and SLIT protocols among studies compromised comparability and may have limited the accuracy of this meta-analysis. For this reason, we used a robust measure (SMD) to control outcome diversity. To reduce bias due to inter-study heterogeneity, we used a random effects model. Furthermore, language and publication biases should be considered in analyses of efficacy trials. In our study, publication bias may have been attributable to the preferential publication of positive results, bias against the publication of negative results, and analyses of small samples in RCTs. Additionally, caution should be exercised in interpreting the results because the sensitivity analysis erased the statistical significance. Lastly, although the majority of eligible trials were double-blinded and placebo-controlled, the reporting of measures taken to safeguard the blinding process was far from adequate in the trials analysed, resulting in considerable uncertainty regarding important methodological aspects of these studies.
This meta-analysis demonstrates that SLIT was associated with significant symptom relief and decreased rescue medication use in patients. Finally, we stress the concept that SLIT for perennial AR would be more effective with homogeneity. Moreover, we assessed large numbers of clinical trials and explored the effects with statistics, objectivity, and consistency. Additional, large clinical trials are needed to address the effective doses of HDM allergen extracts.

ACKNOWLEDGMENTS

This study was supported by the National Key Clinical Opening Program on Pediatric Respiratory of China (No. 523302).

Notes

There are no financial or other issues that might lead to conflict of interest.

References

1. Salo PM, Calatroni A, Gergen PJ, Hoppin JA, Sever ML, Jaramillo R, et al. Allergy-related outcomes in relation to serum IgE: results from the National Health and Nutrition Examination Survey 2005-2006. J Allergy Clin Immunol. 2011; 127:1226–1235.e7. PMID: 21320720.
crossref
2. Bousquet PJ, Chinn S, Janson C, Kogevinas M, Burney P, Jarvis D, et al. Geographical variation in the prevalence of positive skin tests to environmental aeroallergens in the European Community Respiratory Health Survey I. Allergy. 2007; 62:301–309. PMID: 17298348.
crossref
3. Linneberg A, Henrik Nielsen N, Frølund L, Madsen F, Dirksen A, Jørgensen T, et al. The link between allergic rhinitis and allergic asthma: a prospective population-based study. The Copenhagen Allergy Study. Allergy. 2002; 57:1048–1052. PMID: 12359002.
crossref
4. Calderón MA, Linneberg A, Kleine-Tebbe J, De Blay F, Hernandez Fernandez de Rojas D, Virchow JC, et al. Respiratory allergy caused by house dust mites: What do we really know? J Allergy Clin Immunol. 2015; 136:38–48. PMID: 25457152.
crossref
5. Miyazawa H, Sakaguchi M, Inouye S, Ikeda K, Honbo Y, Yasueda H, et al. Seasonal changes in mite allergen (Der I and Der II) concentrations in Japanese homes. Ann Allergy Asthma Immunol. 1996; 76:170–174. PMID: 8595537.
crossref
6. Meltzer EO, Bukstein DA. The economic impact of allergic rhinitis and current guidelines for treatment. Ann Allergy Asthma Immunol. 2011; 106:S12–S16. PMID: 21277528.
crossref
7. Yoo KH, Ahn HR, Park JK, Kim JW, Nam GH, Hong SK, et al. Burden of respiratory disease in Korea: an observational study on allergic rhinitis, asthma, COPD, and rhinosinusitis. Allergy Asthma Immunol Res. 2016; 8:527–534. PMID: 27582404.
crossref
8. Brozek JL, Bousquet J, Baena-Cagnani CE, Bonini S, Canonica GW, Casale TB, et al. Allergic rhinitis and its impact on asthma (ARIA) guidelines: 2010 revision. J Allergy Clin Immunol. 2010; 126:466–476. PMID: 20816182.
9. Burks AW, Calderon MA, Casale T, Cox L, Demoly P, Jutel M, et al. Update on allergy immunotherapy: American Academy of Allergy, Asthma & Immunology/European Academy of Allergy and Clinical Immunology/PRACTALL consensus report. J Allergy Clin Immunol. 2013; 131:1288–1296.e3. PMID: 23498595.
10. Jutel M, Kosowska A, Smolinska S. Allergen immunotherapy: past, present, and future. Allergy Asthma Immunol Res. 2016; 8:191–197. PMID: 26922928.
crossref
11. Morjaria JB, Caruso M, Rosalia E, Russo C, Polosa R. Preventing progression of allergic rhinitis to asthma. Curr Allergy Asthma Rep. 2014; 14:412. PMID: 24408536.
crossref
12. Dong X, Huang N, Li W, Hu L, Wang X, Wang Y, et al. Systemic reactions to dust mite subcutaneous immunotherapy: a 3-year follow-up study. Allergy Asthma Immunol Res. 2016; 8:421–427. PMID: 27334780.
crossref
13. Canonica GW, Bousquet J, Casale T, Lockey RF, Baena-Cagnani CE, Pawankar R, et al. Sub-lingual immunotherapy: World Allergy Organization position paper 2009. Allergy. 2009; 64(Suppl 91):1–59.
14. Calderon MA, Casale TB, Nelson HS, Demoly P. An evidence-based analysis of house dust mite allergen immunotherapy: a call for more rigorous clinical studies. J Allergy Clin Immunol. 2013; 132:1322–1336. PMID: 24139829.
15. Shekelle PG, Woolf SH, Eccles M, Grimshaw J. Clinical guidelines: developing guidelines. BMJ. 1999; 318:593–596. PMID: 10037645.
crossref
16. Jørgensen AW, Hilden J, Gøtzsche PC. Cochrane reviews compared with industry supported meta-analyses and other meta-analyses of the same drugs: systematic review. BMJ. 2006; 333:782. PMID: 17028106.
crossref
17. Di Bona D, Plaia A, Leto-Barone MS, La Piana S, Di Lorenzo G. Efficacy of grass pollen allergen sublingual immunotherapy tablets for seasonal allergic rhinoconjunctivitis: a systematic review and meta-analysis. JAMA Intern Med. 2015; 175:1301–1309. PMID: 26120825.
18. Radulovic S, Calderon MA, Wilson D, Durham S. Sublingual immunotherapy for allergic rhinitis. Cochrane Database Syst Rev. 2010; CD002893. PMID: 21154351.
crossref
19. Wilson DR, Lima MT, Durham SR. Sublingual immunotherapy for allergic rhinitis: systematic review and meta-analysis. Allergy. 2005; 60:4–12. PMID: 15575924.
crossref
20. Compalati E, Passalacqua G, Bonini M, Canonica GW. The efficacy of sublingual immunotherapy for house dust mites respiratory allergy: results of a GA2LEN meta-analysis. Allergy. 2009; 64:1570–1579. PMID: 19796205.
21. Aydogan M, Eifan AO, Keles S, Akkoc T, Nursoy MA, Bahceciler NN, et al. Sublingual immunotherapy in children with allergic rhinoconjunctivitis mono-sensitized to house-dust-mites: a double-blind-placebo-controlled randomised trial. Respir Med. 2013; 107:1322–1329. PMID: 23886432.
crossref
22. Bahçeciler NN, Işik U, Barlan IB, Başaran MM. Efficacy of sublingual immunotherapy in children with asthma and rhinitis: a double-blind, placebo-controlled study. Pediatr Pulmonol. 2001; 32:49–55. PMID: 11416876.
crossref
23. Bergmann KC, Demoly P, Worm M, Fokkens WJ, Carrillo T, Tabar AI, et al. Efficacy and safety of sublingual tablets of house dust mite allergen extracts in adults with allergic rhinitis. J Allergy Clin Immunol. 2014; 133:1608–1614.e6. PMID: 24388010.
crossref
24. Bozek A, Ignasiak B, Filipowska B, Jarzab J. House dust mite sublingual immunotherapy: a double-blind, placebo-controlled study in elderly patients with allergic rhinitis. Clin Exp Allergy. 2013; 43:242–248. PMID: 23331565.
crossref
25. de Bot CM, Moed H, Berger MY, Röder E, Hop WC, de Groot H, et al. Sublingual immunotherapy not effective in house dust mite-allergic children in primary care. Pediatr Allergy Immunol. 2012; 23:150–158. PMID: 22017365.
crossref
26. Demoly P, Emminger W, Rehm D, Backer V, Tommerup L, Kleine-Tebbe J. Effective treatment of house dust mite-induced allergic rhinitis with 2 doses of the SQ HDM SLIT-tablet: results from a randomized, double-blind, placebo-controlled phase III trial. J Allergy Clin Immunol. 2016; 137:444–451.e8. PMID: 26292778.
crossref
27. Eifan AO, Akkoc T, Yildiz A, Keles S, Ozdemir C, Bahceciler NN, et al. Clinical efficacy and immunological mechanisms of sublingual and subcutaneous immunotherapy in asthmatic/rhinitis children sensitized to house dust mite: an open randomized controlled trial. Clin Exp Allergy. 2010; 40:922–932. PMID: 20100188.
crossref
28. Guez S, Vatrinet C, Fadel R, André C. House-dust-mite sublingual-swallow immunotherapy (SLIT) in perennial rhinitis: a double-blind, placebo-controlled study. Allergy. 2000; 55:369–375. PMID: 10782522.
crossref
29. Hirsch T, Sähn M, Leupold W. Double-blind placebo-controlled study of sublingual immunotherapy with house dust mite extract (D.pt.) in children. Pediatr Allergy Immunol. 1997; 8:21–27.
30. Huang S, Xie X, Chen Y, Wu L, Li R, Shen F, et al. Study on the efficacy and safety of sublingual immunotherapy with standardized Dermatophagoides farinae drops for allergic rhinitis. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2015; 29:618–621. PMID: 26201187.
31. Ippoliti F, De Santis W, Volterrani A, Lenti L, Canitano N, Lucarelli S, et al. Immunomodulation during sublingual therapy in allergic children. Pediatr Allergy Immunol. 2003; 14:216–221. PMID: 12787302.
crossref
32. Marcucci F, Sensi L, Frati F, Bernardini R, Novembre E, Barbato A, et al. Effects on inflammation parameters of a double-blind, placebo controlled one-year course of SLIT in children monosensitized to mites. Allergy. 2003; 58:657–662. PMID: 12823127.
crossref
33. Mosbech H, Canonica GW, Backer V, de Blay F, Klimek L, Broge L, et al. SQ house dust mite sublingually administered immunotherapy tablet (ALK) improves allergic rhinitis in patients with house dust mite allergic asthma and rhinitis symptoms. Ann Allergy Asthma Immunol. 2015; 114:134–140. PMID: 25624131.
crossref
34. Mungan D, Misirligil Z, Gürbüz L. Comparison of the efficacy of subcutaneous and sublingual immunotherapy in mite-sensitive patients with rhinitis and asthma--a placebo controlled study. Ann Allergy Asthma Immunol. 1999; 82:485–490. PMID: 10353581.
crossref
35. Nolte H, Maloney J, Nelson HS, Bernstein DI, Lu S, Li Z, et al. Onset and dose-related efficacy of house dust mite sublingual immunotherapy tablets in an environmental exposure chamber. J Allergy Clin Immunol. 2015; 135:1494–1501.e6. PMID: 25636947.
crossref
36. O'Hehir RE, Gardner LM, de Leon MP, Hales BJ, Biondo M, Douglass JA, et al. House dust mite sublingual immunotherapy: the role for transforming growth factor-beta and functional regulatory T cells. Am J Respir Crit Care Med. 2009; 180:936–947. PMID: 19696440.
37. Passalacqua G, Albano M, Fregonese L, Riccio A, Pronzato C, Mela GS, et al. Randomised controlled trial of local allergoid immunotherapy on allergic inflammation in mite-induced rhinoconjunctivitis. Lancet. 1998; 351:629–632. PMID: 9500318.
crossref
38. Passalacqua G, Pasquali M, Ariano R, Lombardi C, Giardini A, Baiardini I, et al. Randomized double-blind controlled study with sublingual carbamylated allergoid immunotherapy in mild rhinitis due to mites. Allergy. 2006; 61:849–854. PMID: 16792583.
crossref
39. Potter PC, Baker S, Fenemore B, Nurse B. Clinical and cytokine responses to house dust mite sublingual immunotherapy. Ann Allergy Asthma Immunol. 2015; 114:327–334. PMID: 25661658.
crossref
40. Shao J, Cui YX, Zheng YF, Peng HF, Zheng ZL, Chen JY, et al. Efficacy and safety of sublingual immunotherapy in children aged 3–13 years with allergic rhinitis. Am J Rhinol Allergy. 2014; 28:131–139. PMID: 24717951.
crossref
41. Tari MG, Mancino M, Monti G. Efficacy of sublingual immunotherapy in patients with rhinitis and asthma due to house dust mite. A double-blind study. Allergol Immunopathol (Madr). 1990; 18:277–284. PMID: 2097894.
42. Tseng SH, Fu LS, Nong BR, Weng JD, Shyur SD. Changes in serum specific IgG4 and IgG4/IgE ratio in mite-sensitized Taiwanese children with allergic rhinitis receiving short-term sublingual-swallow immunotherapy: a multicenter, randomized, placebo-controlled trial. Asian Pac J Allergy Immunol. 2008; 26:105–112. PMID: 19054928.
43. Wang DH, Chen L, Cheng L, Li KN, Yuan H, Lu JH, et al. Fast onset of action of sublingual immunotherapy in house dust mite-induced allergic rhinitis: a multicenter, randomized, double-blind, placebo-controlled trial. Laryngoscope. 2013; 123:1334–1340. PMID: 23616386.
crossref
44. Yonekura S, Okamoto Y, Sakurai D, Horiguchi S, Hanazawa T, Nakano A, et al. Sublingual immunotherapy with house dust extract for house dust-mite allergic rhinitis in children. Allergol Int. 2010; 59:381–388. PMID: 20864799.
crossref
45. Yukselen A, Kendirli SG, Yilmaz M, Altintas DU, Karakoc GB. Effect of one-year subcutaneous and sublingual immunotherapy on clinical and laboratory parameters in children with rhinitis and asthma: a randomized, placebo-controlled, double-blind, double-dummy study. Int Arch Allergy Immunol. 2012; 157:288–298. PMID: 22041501.
crossref
46. Nelson HS. Update on house dust mite immunotherapy: are more studies needed? Curr Opin Allergy Clin Immunol. 2014; 14:542–548. PMID: 25115684.
47. Cox LS, Larenas Linnemann D, Nolte H, Weldon D, Finegold I, Nelson HS. Sublingual immunotherapy: a comprehensive review. J Allergy Clin Immunol. 2006; 117:1021–1035. PMID: 16675328.
crossref
48. Klimek L, Mosbech H, Zieglmayer P, Rehm D, Stage BS, Demoly P. SQ house dust mite (HDM) SLIT-tablet provides clinical improvement in HDM-induced allergic rhinitis. Expert Rev Clin Immunol. 2016; 12:369–377. PMID: 26788764.
crossref
49. Lin SY, Erekosima N, Kim JM, Ramanathan M, Suarez-Cuervo C, Chelladurai Y, et al. Sublingual immunotherapy for the treatment of allergic rhinoconjunctivitis and asthma: a systematic review. JAMA. 2013; 309:1278–1288. PMID: 23532243.
50. Larenas-Linnemann D, Blaiss M, Van Bever HP, Compalati E, Baena-Cagnani CE. Pediatric sublingual immunotherapy efficacy: evidence analysis, 2009-2012. Ann Allergy Asthma Immunol. 2013; 110:402–415.e9. PMID: 23706708.
crossref

SUPPLEMENTARY MATERIAL

Supplementary Figure

Subgroup analysis of efficacy according to age.
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Fig. 1

Classification of material reviewed for this meta-analysis.

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Fig. 2

Risk of bias summary.

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Fig. 3

Risk of bias graph.

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Fig. 4

Nasal symptom scores.

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Fig. 5

Funnel plot for nasal symptom scores.

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Fig. 6

Nasal medication scores.

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Fig. 7

Funnel plot for nasal medication scores.

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Table 1

Characteristics of the included studies

aair-9-220-i001
Study (year) Country Mean age (year) Indication Modality Cumulative dose Follow-up (month) N (all) Not located Outcomes assessd
Tari 1990ǂ Italy (5–12) PAR Drops 363STU 18 66 8 SS
Hirsch 1997ǂ Germany 10.6 (6–16) PAR Drops 570 μg 12 30 12 SS
Passalacqua 1998є Italy 26.1 (15–46) PAR Tablets 47,225 AU 24 20 1 SS
Mungan 1999є Turkey 31.3 (18–46) PAR and asthma Drops NA 12 36 0 SS MS
Guez 2000§ France 26.4 (6–51) PAR Drops 90,000 IR 24 72 33 SS MS
Bahçeciler 2001ǂ Turkey 11.7 (7–18) PAR Drops 7,000 IR 6 15 0 SS MS
Ippoliti 2002ǂ Italy 9 (5–12) PAR and asthma Drops 12 mg 6 86 0 SS
Marcucci 2003ǂ Italy 8.5 (4–16) PAR Drops 110 μg 12 24 0 SS
Passalacqua 2006є Italy 31.28 (18–49) PAR Tables 208,000 AU 24 68 12 SS MS
Tseng 2008ǂ Taiwan 9.7 (6–18) PAR Drops 37,312 IR 6 63 4 SS
O'Hehir 2009є Australia 33.2 (18–56) PAR Drops NA 24 30 3 SS
Eifan 2010ǂⱷ Turkey 7 (5–10) PAR Drops 73,876.8 STU 12 48 5 SS MS
Yonekura 2010ǂ Japan 9.5 (7–15) PAR Drops 200 μg 10 31 3 SS MS
de Bot 2012ǂ Netherlands 11.7 (6–18) PAR Drops 435 μg 24 257 38 SS
Yukselen 2012ǂ Turkey 10.1 PAR and asthma Drops 173,733 TU 12 32 2 SS MS
Aydogan 2013ǂ Turkey (5–10) PAR Drops 44,500 IR 12 18 2 SS MS
Bozek 2013є Poland 66.3 (60-75) PAR Drops 421,200 IR 36 108 13 SS MS
Wang 2013§ China (4–60) PAR Drops NA 6 120 35 SS
Bergmann 2014є Germany (18–50) PAR Tables 109,200 IR
180,500 IR 12 509 112 SS MS
Shao 2014ǂⱷ China 6.2 (3–13) PAR Drops 2,638.7 μg 12 264 46 SS MS
Huang 2015єⱷ China 23.7 (16–52) PAR Drops NA 24 112 9 SS MS
Mosbech 2015§ Multi-center 30.1 (14–75) PAR and asthma Tables 2,190SQ-HDM
1,095SQ-HDM
365SQ-HDM 12 489 56 SS MS
Nolte 2015є Austria 27.3 (18–58) PAR Tables NA 6 124 18 SS
Potter 2015є South Africe 32.9 (18-60) PAR Drops 93,600 IR 24 60 12 SS
Demoly 2016є Germany (18–65) PAR Tables NA 12 992 115 SS MS

Study only included pediatric patients; єStudy only included adults; §Study included both children and adults; Open-label randomized controlled trial.

PAR, perennial allergic rhinitis; AU, allergic units; IR, index of reactivity; STU,specific treatment units; SQ-HDM, standardized quality HDM; TU, treatment units; mg, milligram; ug, micrograms; N, sample size; SS, symptom score; MS, medication score.

Table 2

Subgroupanalysis of efficacy according to treatment characteristics

aair-9-220-i002
Subanalysis Symptom score Medication score
No. of studies No. of patients SMD (95% CI) P value No. of studies No. of patients SMD (95% CI) P value
Children only 12 737 −0.70 [−1.43, 0.03] 0.06 7 359 −1.66 [−2.60, −0.71] 0.006
Adults only 10 1,311 −1.02 [−1.53, −0.52] <0.0001 6 1,147 −1.31 [−2.12, −0.51] 0.001
Children+adults 3 340 −4.13 [−7.50, −0.76] 0.02 2 255 −0.69 [−1.22, −0.16] 0.01
Tablets 6 1,228 −1.81 [−2.94, −0.68] 0.002 4 1,139 −0.65 [−1.13, −0.18] 0.007
Drops 19 1,213 −1.06 [−1.67, −0.44] 0.0007 11 622 −1.66 [−2.47, −0.84] <0.0001

CI, confidence interval; SMD, standardized mean difference.

Table 3

Sensitivity analysis of efficacy

aair-9-220-i003
Sensitivity analysis Symptom score Medication score
No. of studies SMD (95% CI) P value No. of studies SMD (95% CI) P value
Fixed−effects model 25 −0.69 [−0.78, −0.60] <0.00001 15 −0.57 [−0.67, −0.47] <0.00001
Excluded small studies (n<30) 15 −1.62 [−2.28, −0.96] <0.00001 9 −1.31 [−1.89, −0.74] <0.00001
Excluded open label trials 22 −1.19 [−1.74, −0.65] <0.0001 12 −1.00 [−1.42, −0.58] <0.00001
Excluded high drop out rate (≤20%) 20 −1.16 [−1.73, −0.59] <0.0001 13 −1.53 [−2.09, −0.97] <0.00001

CI, confidence interval; SMD, standardized mean difference.

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