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ORIGINAL RESEARCH article

Front. Allergy, 22 March 2023
Sec. Rhinology
Volume 4 - 2023 | https://doi.org/10.3389/falgy.2023.1138537

Determinants of uncontrolled allergic rhinitis in Kinshasa hospitals

Patricia K. Kakobo1* Hilaire K. Kalala1 Joseph K. Kelekele2 Paulin B. Mutombo3 Dieudonné T. Nyembue1 Peter W. Hellings4,5,6 Jean-Marie N. Kayembe7
  • 1Department of Otorhinolaryngology, University of Kinshasa, Kinshasa, Democratic Republic of Congo
  • 2Ophthalmology Department, University of Kinshasa, Kinshasa, Democratic Republic of Congo
  • 3School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
  • 4Department of Otorhinolaryngology-Head and Nose Surgery, University Hospital of Leuven, Leuven, Belgium
  • 5Department of Otorhinolaryngology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
  • 6Upper Airways Research Laboratory, University of Ghent, Ghent, Belgium
  • 7Department of Pneumology, University of Kinshasa, Kinshasa, Democratic Republic of Congo

Objective: To identify the determinants of uncontrolled allergic rhinitis (UCAR) in a hospital setting in Kinshasa, Democratic Republic of Congo.

Methods: Hospital-based cross-sectional study of 153 patients with allergic rhinitis (AR). The diagnosis of AR was based on clinical grounds according to the Allergic Rhinitis and its Impact on Asthma (ARIA) criteria. Categorization into controlled AR (CAR) and UCAR was based on the visual analog scale (VAS with cut off point of 5). Binary logistic regression was used to identify factors associated with UCAR.

Results: Patients with UCAR (60.1%) proportionally outnumbered those with CAR (39.9%). There were significantly more patients younger than 30 years of age among patients with UCAR. Factors significantly associated with UCAR were age below 30 years (OR = 3.31; 95% CI: 1.49–7.36; p = 0.003), low serum vitamin D level (OR = 3.86; 95% CI: 1.72–8.68; p = 0.001), persistent form (OR = 3.11; 95% CI: 1.39–6.98; p = 0.006) and moderate to severe form of AR (OR = 4.31; 95% CI: 1.77–10.49; p = 0.001).

Conclusions: Factors associated with UCAR in this study population were younger age less than 30 years, low vitamin D level, and persistent as well as moderate to severe AR. Further studies are needed to elucidate the underlying mechanisms favoring the occurrence of these factors.

Introduction

Allergic rhinitis (AR) is a disease of public concern, given its negative impact on patients' quality of life and socioeconomic power (1, 2). Poor control of AR is a leading cause of morbidity and mortality worldwide and accounts for 43% of the global disease burden (1). AR is generally underestimated, poorly controlled and undertreated (3). Although the symptoms of AR can be controlled with adequate treatment in most patients, recurrence is very common (3).

Currently, the most widely used tool to assess the severity and control of AR symptoms is the visual analog scale (VAS). Patients with a score ≥5 on this scale are considered to have uncontrolled AR (UCAR) (4, 5). Several studies have reported an increase in UCAR frequency in some countries such as France (71.7%) (6), Italy (>60%) (7), Tunisia (62%) (8), and the Democratic Republic of Congo (DRC) (75.5%) (9). On average, one-fifth of patients with AR have bothersome symptoms of AR despite adequate medical treatment abiding to the Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines (10).

AR Treatment is aimed at controlling symptoms and risk factors for poor progression but also at improving the quality of life of patients. However, despite various recommendations for AR management, most patients remain inadequately controlled for several reasons, including noncompliance, comorbidities, misdiagnosis, and inadequate treatment. Poor control of AR can be caused by several factors such as asthma, rhinosinusitis, atopic dermatitis, and allergic conjunctivitis (11). A quick literature review indicates a clear lack of data on the risk factors for poor control of AR in sub-Saharan Africa (SSA) in general and in DRC in particular. The present multicenter study aims to determine the risk factors for poor control of AR and AR severity level in a hospital setting in Kinshasa.

Patients and methods

The present study included patients with AR. It was conducted from November 2019 to May 2020 in otolaryngology departments of three Kinshasa hospitals, namely Cliniques Universitaires de Kinshasa (CUK), Centre Médical Diamant and Centre Hospitalier Monkole. The study was approved by the Biomedical Ethics Committee of the School of Public Health of the University of Kinshasa, abode to the guidelines of the Declaration of Helsinki, and all patients provided a written informed consent. Patients were excluded for any of the following reasons: positive skin allergic test without any symptom of allergy; presence of allergic symptoms with a negative skin allergy test with un; pregnancy; current antihistamine treatment; any comorbidity or treatment affecting serum vitamin D level.

Diagnosis and classification of AR

The clinical diagnosis of AR was based on the ARIA classification and was confirmed by a positive allergen skin prick test (AST) (12). AR was then categorized into controlled allergic rhinitis (CAR) and UCAR based on the VAS in the last two weeks preceding the consultation. This categorization required AR patients to be adequately treated.

Patients scored their own symptoms on the VAS using a ruler graduated from 0 (total absence of symptoms) to 10 cm (maximum presence of symptoms) (12). Any patient with a score ≥5 was considered to have UCAR, whereas one with a score <5 was classified as having CAR (12). UCAR was intermittent if symptoms lasted less than 4 days/week and 4 weeks/year. On the other hand, it was persistent if symptoms lasted more than 4 days/week and 4 weeks/year (13). In addition, it was labelled as mild or moderate to severe depending on whether the symptoms were not very annoying or had an impact on quality (13).

Allergic skin tests and serum vitamin D determination

The AST (Alyostal, Barcelona, Spain) consisted of a battery of nine allergens, namely dermatophagoides farinae, dermatophagoides pteronyssinus, blomia, 5-grasses, cat epithelium, dog epithelium, alternaria, aspergillus, and roach. The test was positive when the diameter of the skin papule induced by at least one allergen was equal to or greater than 3 millimeters, or equal to half the positive control (14).

25-hydroxyvitamin D3 was measured by radioimmunoassay using a Cobas E411 automatic well gamma counter (Roche Diagnostics International AG, Totkreuz, Switzerland) calibrated for iodine 125. For simplicity of analysis, serum vitamin D level was stratified into normal (≥30 ng/ml) and abnormal (<30 ng/ml).

Body mass index (BMI) was used to assess patients' nutritional status. Patients were further classified as underweight (BMI <18.5 Kg/m2), normal (BMI: 18.5–24.9 Kg/m2), overweight (BMI: 25–29.9 Kg/m2), and obese (BMI ≥30 Kg/m2) (15). The latter two groups were combined and analyzed as a single group.

Statistical analysis

SPSS version 26.0 software was used for statistical analyses. Categorical variables were expressed as frequency and percentage, while quantitative variables were expressed as mean and standard deviation. Student's t-test was used to compare means of quantitative variables. Comparison of parameters of interest between patients with CAR and those with UCAR was performed using Pearson chi-square. Binary logistic regression was used to identify the determinants of UCAR. In the univariate model, gender, age groups, occupation, education level, residence (urban or semi rural), smoking (yes/no), BMI, number of allergens to which the patient is sensitized (mono vs. polysensitized), serum vitamin D level (normal vs. abnormal), allergic conjunctivitis (yes vs. no), asthma (yes vs. no), rhinosinusitis (yes vs. no), dermatitis (yes vs. no), high blood pressure (yes vs. no), number of people sharing the same room with the patient (≤2 vs. >2), use of an air conditioning system (yes/no), existence of pets (yes/no), presence of cockroaches in the house (yes/no), presence of trees and/or flowers in the house yard (yes/no), duration of illness (intermittent vs. persistent), and severity of illness (mild vs. moderate to severe) were used as predictors of AR control. Only variables that showed a significant association in the univariate model were analyzed in the multivariate model. The strength of association was estimated using the odds ratio (OR) at the p<0.05 significance level.

Results

Patients' sociodemographic and clinical characteristics

A total of 153 patients with AR were included in this study. The mean age was 32.1 ± 13.4 years for the whole group, 34.6 ± 13.1 years for patients with CAR, and 30.4 ± 13.3 years for those with UCAR. The other sociodemographic and clinical characteristics are shown in Table 1. Half of the patients were either under or at least 30 years old. Significantly more patients were female (62,7%), slightly more than half of the patients (54.9%) lived in urban areas, 56.9% reported a family history of atopy, and 69.3% had a university education. Most patients were sensitized to more than one allergen (60.8%), had a low serum vitamin D level (58.8%), shared the same bedroom with more than one other person (68.6%), and reported the existence of cockroaches in the house (64.7%) and trees in the yard (61.4%). Allergic conjunctivitis and rhinosinusitis were present in 52.9% and 69.3% of the patients, respectively. Patients with UCAR had a persistent form and a moderate to severe form of the disease in 69.3% and 75.2% of cases, respectively.

TABLE 1
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Table 1. Sociodemographic and clinical features in patients with controlled and uncontrolled allergic rhinitis.

Comparison of sociodemographic and clinical characteristics of patients with UCAR and CAR

Data in Table 1 also indicate that UCAR and CAR were present in 60.1% and 39.9% of patients, respectively. In patients younger than 30 years, UCAR was significantly more frequent than CAR (p = 0.006). There were significantly more patients with abnormal serum vitamin D levels among patients with UCAR than those with CAR (p = 0.008). A similar observation was made for patients with concomitant allergic conjunctivitis (p = 0.016). The persistent form (p < 0.001) and the moderate to severe form (p = 0.001) were also significantly more seen in patients with UCAR than in those with good AR control. Similarly, the proportion of patients who shared the same bedroom with more than 2 other people was significantly higher among those with poor than those with good AR control (p = 0.029).

Factors associated with UCAR

We also sought to identify factors associated with poor control of AR. In univariate logistic regression (Table 2) including the sociodemographic and clinical variables listed in Table 1 as explanatory variables and the level of AR control (CAR vs. UCAR) as a dependent variable, age <30 years (p = 0.007), a low serum vitamin D level (p = 0, 009), sharing the same bedroom with more than 2 other people (p = 0.031), having concomitant allergic conjunctivitis (p = 0.017), permanent nature (p < 0.001), and moderate to severe severity of AR (p = 0.001) were significantly associated with UCAR. In the final multiple logistic regression model, only age <30 years, a low serum vitamin D level, permanent form, and moderate to severe form remained associated with UCAR. Specifically, patients younger than 30 years of age were 3.31 times more likely to have UCAR than those 30 years or older (p = 0.003). Based on serum vitamin D, those with a low serum vitamin D level had a 3.86-fold increased probability of having UCAR (p = 0.001). Similarly, patients with the permanent form and those with the moderate to severe form were 3.11 (p = 0.006) and 4.31 (p = 0.001) times more likely to have UCAR than those with the intermittent and mild forms, respectively.

TABLE 2
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Table 2. Factors associated with uncontrolled allergic rhinitis.

Discussion

More than half (60.1%) of the patients interviewed in this study had a VAS score indicating poor control of AR. This frequency is similar to 60% reported in a multicenter study performed in non-asthmatic patients with AR symptoms in Italy (7) and 62% in another study in Tunisia (8). A higher frequency (71.7%) than ours was previously reported in France (6). On the contrary, the multinational study conducted in Egypt, Turkey and 3 countries of the Persian Gulf (Saudi Arabia, United Arab Emirates and Kuwait) reported an overall frequency of UCAR of 33% after assessment with the Rhinitis Control Assessment Test (RCAT). However, the frequency was higher in Egypt (55.6%) than in Turkey (27.9%) and in the 3 Persian Gulf countries combined (30.5%) (16). In China, an investigation in 250 AR patients prospectively assessed the frequency of UCAR using the Allergic Rhinitis Control Test (ARCT) at enrollment and then every 15 days after treatment and intensification of treatment in case of poor control. At enrollment, the incidence of UCAR was 99.2% before decreasing to 66% at 15 days, 29.2% at 30 days, 11.2% at 45 days, 3.6% at 60 days and 3.2% at 75 days after treatment (17). In Thai children, the Control of Allergic Rhinitis and Asthma Test (CARAT) showed a frequency of 28.2% in a hospital setting (18). In addition, a survey conducted in 5 European countries (Germany, Spain, France, Italy, and the United Kingdom) revealed, based on physicians' assessment, poor control of nasal AR symptoms in 18% and good control in 45.4% of patients regardless of the drug used (19). In Bousquet et al.'s study (20) on severe chronic upper respiratory disease, the incidence of UCAR after two weeks of treatment was 18% in patients treated based on physician's choice and 10.3% in those treated based on ARIA guidelines. Finally, in the AIMES survey conducted in 5 Middle Eastern countries (Egypt, Iran, Lebanon, Saudi Arabia, and the United Arab Emirates), 15% of respondents felt that their AR symptoms were poorly controlled compared to 40% whose symptoms were completely or well controlled despite taking medication to treat the symptoms (21). Several factors may contribute to the variability of UCAR frequency, including the type of study (cross-sectional vs. clinical trials), the type of instrument used to assess AR control, the characteristics of the study population, current or previous treatment, compliance with treatment, the level of knowledge and perception of the disease by the study population, and environmental factors. Ultimately, although the impact of treatment on AR control was not assessed in the present study, there is ample evidence to show that AR remains uncontrolled in a substantial number of patients despite well conducted treatment according to therapeutic guidelines (22). Despite the variability in the frequency of UCAR across studies and countries, the preceding data agree on the high frequency of UCAR.

We observed a significantly higher frequency of patients under 30 years of age among those with UCAR than those with CAR. Patients in this age group were 3.31 times more likely to have UCAR than those aged 30 years and older. One possible explanation for this association is the lack, delayed or lack, refusal, delayed or inadequate treatment in young patients. In addition, medication high cost and the lack of health insurance prevent for most patients prevent them from being adequately treated. Age is an important factor not only in awareness, but also in control of AR. In contrast, such an association was not found in the Italian multicenter study by Gani et al. (7). Other previous studies have described a strong association between allergic sensitization, asthma and rhinitis in children, adolescents, and young adults (23, 24). A separate analysis in the present series did not show a difference in the proportions of polysensitized between young (63.2%) and elderly (58.4%) subjects, p = 0.55. Elsewhere, investigations on allergic sensitization in different age groups consistently showed a biphasic trend of prevalence with age, with an initial increase until early adulthood and then a decrease (25, 26). Surprisingly, the prevalence of AR follows the same pattern (27, 28). This may suggest that patient's age plays a significant role in AR control. This hypothesis was tested in a prospective Korean study in which the clinical features of young (mean age: 28.9 ± 5.9 years) and elderly (mean age: 70.8 ± 5.4 years) AR patients were assessed before and after 4 weeks of treatment according to ARIA guidelines. Comparison of the Total Symptom Score (TSS), RCAT and VAS scores revealed that the therapeutic response was more favorable in young than in elderly patients on all assessment scales (29).

The association between AR and serum vitamin D level remains a controversial topic in light of conflicting results from different studies summarized in meta-analyses and reviews (30, 31). In the present study, however, we evaluated the association between vitamin D and the level of AR control in a cross-sectional manner. It is important to note that this aspect has been very rarely investigated. There were significantly more patients with low serum vitamin D levels among patients with UCAR than among those with CAR. The probability of having RANC was 3.86 times higher for patients with low serum vitamin D than for those with normal serum levels. A similar observation was made in two prospective studies evaluating the effect of vitamin D supplementation on the severity of AR. Kalsotra et al. evaluated the symptoms in two groups of patients with AR before and 4 weeks after administering oral vitamin D in combination with intranasal steroid sprays to one group and vitamin D alone to another group. After treatment, total nasal symptoms scores (TNSS) were significantly lower in both groups compared with pre-treatment scores, indicating an improvement in rhinitis symptoms and thus a progression towards control of AR (32). In another similar investigation, Modh et al. (33) evaluated two groups of 21 patients with AR and compared TNSS before and after routine antiallergic treatment and daily vitamin D supplementation for 21 days in one group and routine treatment only in the other. There was a significant post-treatment reduction in TNSS scores in both groups, but the reduction was significantly pronounced in the routine treatment only group. Similar results were reported in one more study including 35 cases and 33 controls with AR with similar serum vitamin D deficiency and nasal symptom severity scores. Eight weeks after treatment of cases with vitamin D plus a common anti-allergic (cetirizine) and controls with the common anti-allergic only, there was a significant increase in serum vitamin D levels in cases compared to controls in whom the level remained unchanged. There was also a significant difference between the nasal symptom scores of the two groups, mainly due to a significant reduction in scores in the cases (34). In summary, our observation and those of the studies listed above suggest that vitamin D deficiency is associated with poor control of AR.

It is noteworthy mentioning that there is a paucity of investigations on the association between control and severity as well as persistent or intermittent nature of AR. In the current series, poor control of AR was also independently associated with persistence and moderate to severe AR. This contrasts with findings from the Italian series where poor control of AR was not associated with disease duration (7). It is also important to underline that such an association described in a few studies was the result of confusion between poor control, severity, and response to AR treatment, probably stemming from the erroneous assumption that moderate to severe disease is uncontrolled. Indeed, in asthma, for example, where the relationship between severity and control has been extensively studied, it has been shown that the likelihood of a patient being controlled is not dependent on the severity of the disease before treatment (35, 36). Since the concept of control implies that patients are adequately treated beforehand (23), it cannot be excluded that the association found in the present study is rather a reflection of one or more of the factors such as lack of treatment, noncompliance in all its forms, application of a treatment regimen different from the ARIA guidelines, and treatment resistance.

Despite the fact that this study is multicentric and the first to systematically analyze the determinants of UCAR in the DRC, it has a number of limitations. First, the hospital-based, cross-sectional nature of the investigation and the small sample size (given the high prevalence of the disease in this setting) limit the generalizability of the results, and warrant the need for a larger, prospective study. While we acknowledge that it would have been ideal to conduct a population-based study, it is also important to keep in mind that data from well conducted hospital-based studies are important as they may provide the first line of information about hospital utilization and basic epidemiologic measures needed for strategy planning, resource prioritization and allocation, and development of prevention, diagnosis, and management programs. In setting such as the DRC where population-based are difficult to conduct mainly due to limited funding, hospital data have become more valuable resources for studying epidemiology of diseases. Second, the study population included some patients who were not adequately treated. As mentioned previously, including them may have influenced the reported results. Beyond these limitations, however, the present study has the merit of having investigated variations in serum vitamin D levels in relation to AR control using the reference tool and of having provided data suggesting that patients with UCAR are candidates for vitamin D supplementation. In addition, it has the merit of being considered as a first, to our knowledge, in sub-Saharan Africa addressing this issue.

In conclusion, this study shows that UCAR is frequent in the hospital environment of Kinshasa as previously reported. Age less than 30 years, vitamin D deficiency, permanent and moderate to severe nature of AR emerged as factors associated with UCAR in this series.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by The Biomedical Ethics Committee of the School of Public Health of the University of Kinshasa. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author contributions

PKK: is the first author of this manuscript; designed the study, collected the data, interpreted the results and drafted the manuscript. HKK collected the data and reviewed the manuscript. JTK collected the data and reviewed the manuscript. PBM analyzed the data and reviewed the manuscript. DTN, PWH and JMK designed the study and reviewed the manuscript. All authors contributed to the article and approved the submitted version.

Acknowledgments

We thank Prof. Jean-Claude Mwanza his thorough and critical review of the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. World Health Organization. Integrated chronic disease prevention and control [En ligne]. (2020). Available at: https://www.who.int/chp/about/integrated_cd/en/

2. Jabri H, El Khattabi W, Aichane A, Afif H, Bouayad Z. Profil allergique de la rhinite allergique sévère. Rev Fr Allergol. (2014) 54:4–7. doi: 10.1016/j.reval.2013.09.003

CrossRef Full Text | Google Scholar

3. Belhassen M, Demoly P, Bloch-Morot E, Pouvourville G, Ginoux M, Chartier A, et al. Costs of perennial allergic rhinitis and allergic asthma increase with severity and poor disease control. Allergy. (2017) 72:948–58. doi: 10.1111/all.13098

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Demoly P, Calderon MA, Casale T, Scadding G, Annesi-Maesano I, Braun JJ, et al. Assessment of disease control in allergic rhinitis. Clin Transl Allergy. (2013) 3(7). doi: 10.1186/2045-7022-3-7

CrossRef Full Text | Google Scholar

5. Hellings PW, Muraro A, Fokkens W, Mullol J, Bachert C, Canonica GW, et al. A common language to assess allergic rhinitis control: results from a survey conducted during EAACI 2013 congress. Clin Transl Allergy. (2015) 5:36. doi: 10.1186/s13601-015-0080-9

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Demoly P, Bossé I, Maigret P. Perception and control of allergic rhinitis in primary care. NPJ Prim Care Respir Med. (2020) 30:37. doi: 10.1038/s41533-020-00195-8

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Gani F, Lombardi C, Barrocu L, Landi M, Rigolo E, Bugiani M, et al. The control of allergic rhinitis in real life: a multicenter cross-sectional Italian study. Clin Mol Allergy. (2018) 16:4. doi: 10.1186/s12948-018-0082-y

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Snène H, Badri I, Ben Salah N, Toujani S, Bejar D, Mji M, et al. Facteurs prédictifs de sévérité et de non-contrôle de l’asthme en cas de rhinite allergique associée. Rev Mal Respir. (2017) 34:A42. doi: 10.1016/j.rmr.2016.10.089

CrossRef Full Text | Google Scholar

9. Kakobo PK, Kalala HK, Tshibola MM, Kelekele JK. Nyembue DT et hellings PW. Pattern of uncontrolled allergic rhinitis in a hospital setting of Kinshasa, democratic Republic of Congo. Immun Inflamm Dis. (2019) 7:286–91. doi: 10.1002/iid3.272

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Hellings PW, Fokkens WJ, Akdis C, Bachert C, Cingi C, de Loos D D, et al. Uncontrolled allergic rhinitis and chronic rhinosinusitis: where do we stand today? Eur J Allergy Clin Immunol. (2013) 68:1–7. doi: 10.1111/all.12040

CrossRef Full Text | Google Scholar

11. Dutau G, Lavaud F. La rhinite allergique et ses comorbidités. Rev Fr Allergol. (2019) 59:32–40. doi: 10.1016/j.reval.2018.10.006

CrossRef Full Text | Google Scholar

12. Bousquet PJ, Combescure C, Neukirch F, Klossek JM, Méchin H, Daures JP, et al. Visual analog scales can assess the severity of rhinitis graded to ARIA guidelines. Allergy. (2007) 62:367–72. doi: 10.1111/j.1398-9995.2006.01276.x

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Bousquet J, Van Cauwenberge P, Khaltaev N. Allergic rhinitis and its impact on asthma. J Allergy Clin Immunol. (2001) 108:S147–334. doi: 10.1067/mai.2001.118891

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Bernstein IL, Storms WW. Practice parameters for allergy diagnostic testing. Joint task force on practice parameters for the diagnosis and treatment of asthma. The American academy of allergy, asthma and immunology and the American college of allergy, asthma and immunology. Ann Allergy Asthma Immunol. (1995) 75:543–625. doi: 10.1016/S1081-1206(10)63377-7

PubMed Abstract | CrossRef Full Text | Google Scholar

15. OMS and International Obesity Task Force. Classification de l'état nutritionnel chez l'adulte en fonction de l'indice de masse corporelle (IMC). Paris, France; (1998)).

16. Al-Dighaeri A, Mahboub B, Tarraf H, Yucel T, Annesi-Maesano I, Doble A, et al. The clinical burden of allergic rhinitis in five Middle Eastern countries: results of the SNAPSHOT program. Allergy Asthma Clin Immunol. (2018) 14:63. doi: 10.1186/s13223-018-0298-x

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Wang Y, Chen H, Zhu R, Liu G, Huang N, Li W, et al. Allergic rhinitis control test questionnaire-driven stepwise strategy to improve allergic rhinitis control: a prospective study. Allergy. (2016) 719:1612–9. doi: 10.1111/all.12963

CrossRef Full Text | Google Scholar

18. Thaibandit J, Nookong A, Srichantaranit A. Factors predicting allergic rhinitis control in school-aged children. Nurs Sci J Thail. (2021) 39:36–49. https://orcid.org/0000-0003-2089-8471

Google Scholar

19. Canonica GW, Bousquet J, Mullol J, Scadding GK, Virchow JC. A survey of the burden of allergic rhinitis in Europe. Allergy. (2007) 62:17–25. doi: 10.1111/j.1398-9995.2007.01549. x.17927674

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Bousquet PJ, Bachert C, Canonica GW, Klossek JM, Zuberbier T, Bousquet J. Uncontrolled allergic rhinitis during treatment and its impact on quality of life: a cluster randomized trial. J Allergy Clin Immunol. (2010) 126:666–8. doi: 10.1016/j.jaci.2010.06.034

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Abdulrahman H, Hadi U, Tarraf H, Gharagozlou M, Kamel M, Soliman A, et al. Nasal allergies in the Middle Eastern population: results from the allergies in Middle East survey. Am J Rhinol Allergy. (2012) 26:3–23. doi: 10.2500/ajra.2012.26.3836

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Bousquet J, Bachert C, Canonica GW, Casale TB, Cruz AA, Lockey RJ, et al. Unmet needs in severe chronic upper airway disease (SCUAD). J Allergy Clin Immunol. (2009) 124:428–33. doi: 10.1016/j.jaci.2009.06.027

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Sears MR, Greene JM, Willan AR, Wiecek EM, Taylor DR, Flannery EM, et al. A longitudinal, population-based, cohort study of childhood asthma followed to adulthood. N Engl J Med. (2003) 349:1414–22. doi: 10.1056/NEJMoa022363

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Bjerg-Backlund A, Perzanowski MS, Platts-Mills T, Sandstrom T, Lundback B, Ronmark E. Asthma during the primary school ages–prevalence, remission and the impact of allergic sensitization. Allergy. (2006) 61:549–55. doi: 10.1111/j.1398-9995.2006.01027. x.16629783

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Linneberg A, Gislum M, Johansen N, Husemoen LL, Jorgensen T. Temporal trends of aeroallergen sensitization over twenty-five years. Clin and Exp Allergy. (2007) 37:1137–42. doi: 10.1111/j.1365-2222.2007.02760. x.

CrossRef Full Text | Google Scholar

26. Ronmark E, Bjerg A, Perzanowski M, Platts-Mills T, Lundback B. Major increase in allergic sensitization in schoolchildren from 1996 to 2006 in northern Sweden. J Allergy Clin Immunol. (2009) 124:357–62. doi: 10.1016/j.jaci.2009.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Demoly P, Bousquet PJ, Mesbah K, Bousquet J, Devillier P. Visual analogue scale in patients treated for allergic rhinitis: an observational prospective study in primary care: asthma and rhinitis. Clin Exp Allergy. (2013) 43:881–8. doi: 10.1111/cea.12121

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Kim HY, Kwon EB, Baek JH, Shin YH, Yum HY, Jee HM, et al. Prevalence and comorbidity of allergic diseases in preschool children. Korean J Pediatr. (2013) 56:338–42. doi: 10.3345/kjp.2013.56.8.338

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Woo SD, Lee SH, Ye YM, Kim SC, Lee Y, Shin YS, et al. A prospective study to compare clinical outcomes of allergic rhinitis between older and younger adults: a potential effect of depression in older patients. Allergy Asthma Immunol Res. (2021) 13:339–46. doi: 10.4168/aair.2021.13.2.339

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Kim YH, Kim KW, Kim MJ, Sol IS, Yoon SH, Ahn HS, et al. Vitamin D levels in allergic rhinitis: a systematic review and meta-analysis. Pediatr Allergy Immunol. (2016) 27:580–90. doi: 10.1111/pai.12599

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Ozdemir O, karavaizoglu C. Role and importance of vitamin D in asthma and other allergic diaseases. J Acad Res Med. (2018) 8:1–8. doi: 10.5152/jarem.2017.1264

CrossRef Full Text | Google Scholar

32. Kalsotra G, Saraf A, Raina A, Kalsotra P, Sharma R, Hussain A. A clinical study to evaluate the role of vitamin D3 in allergic rhinitis. Indian J Otolaryngol Head Neck Surg. (2022) 74(Suppl 3):4676–79. doi: 10.1007/s12070-021-03004-x

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Modh D, Katarkar A, Thakkar B, Jain A, Shah P, Joshi K. Role of vitamin D supplementation in allergic rhinitis. Indian J Allergy Asthma Immunol. (2014) 28:35–9. doi: 10.4103/0972-6691.134223

CrossRef Full Text | Google Scholar

34. Bakhshaee M, Sharifian M, Esmatinia F, Rasoulian B, Mohebbi M. Therapeutic effect of vitamin D supplementation on allergic rhinitis. Eur Arch Otorhinolaryngol. (2019) 276:2797–801. doi: 10.1007/s00405-019-05546-x

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Bateman ED, Bousquet J, Braunstein GL. Is overall asthma control being achieved? A hypothesis-generating study. Eur Respir J. (2001) 17:589–95. doi: 10.1183/09031936.01.17405890

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Van Bulck P, Cools L, Soumya MS, Nyembue DT, Kakobo P. A multicenter real-life study on the multiple reasons for uncontrolled allergic rhinitis. Int Forum Allergy Rhinol. (2021) 11:1452–60. doi: 10.1002/alr.22808

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: uncontrolled allergic rhinitis, vitamin d, persistent form, moderate to severe form, Kinshasa

Citation: Kakobo PK, Kalala HK, Kelekele JK, Mutombo PB, Nyembue DT, Hellings PW and Kayembe J-MN. (2023) Determinants of uncontrolled allergic rhinitis in Kinshasa hospitals. Front. Allergy 4:1138537. doi: 10.3389/falgy.2023.1138537

Received: 6 January 2023; Accepted: 2 March 2023;
Published: 22 March 2023.

Edited by:

Glenis Kathleen Scadding, University College London, United Kingdom

Reviewed by:

Maciej Kupczyk, Medical University of Lodz, Poland
Aleksandar Peric, Military Medical Academy, Serbia

© 2023 Kakobo, Kalala, Kelekele, Mutombo, Nyembue, Hellings and Kayembe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Patricia K. Kakobo patkitombole@gmail.com

Specialty Section: This article was submitted to Rhinology, a section of the journal Frontiers in Allergy

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