Ten-Year Review of Allergology Consultations in Abidjan: Clinical, Immunological, and Environmental Profiles in a Sub-Saharan Context ()
1. Introduction
In recent decades, the prevalence of allergic diseases has been steadily increasing in many parts of the world. According to the World Health Organization (WHO), nearly 50% of the global population could be affected by some form of allergy by 2050 [1]. In sub-Saharan Africa, although data remain limited, several studies report a growing portion of the population affected, particularly by asthma and allergic rhinitis [2]-[4]. However, institutional recognition of these conditions has been delayed, often overshadowed by priority health concerns such as malaria, tuberculosis, and HIV/AIDS. Rapid urbanization, lifestyle changes, air pollution, and alterations in domestic environments have contributed to the emergence of allergic diseases in major African cities [3].
In Côte d’Ivoire, clinical allergology is still an emerging discipline. Consultations for asthma, allergic rhinitis, chronic urticaria, or eczema are increasing, but management remains hindered by multiple challenges: a limited number of trained specialists, restricted access to diagnostic testing, high cost of evaluations, unavailability of allergen extracts suited to the tropical climate, and above all, a lack of regional epidemiological data on sensitization patterns [3] [4].
Since 2014, the University Hospital Center (UHC) of Cocody in Abidjan—one of the few specialized centers in the country—has established an Immunology-Allergology Unit offering specialized consultations and comprehensive diagnostic workups. Previous studies conducted by our team have investigated specific sensitization profiles, such as to tropical mites [5]-[7], cow’s milk proteins [8], coffee/tea in atopic sickle cell patients [9], and anesthetic allergens [10]. However, no comprehensive review has yet been conducted on all allergy consultations performed at our center. This study aims to provide a retrospective overview of ten years of hospital-based allergology practice at UHC Cocody by describing patient profiles, diagnostic approaches, identified allergens, and therapeutic strategies, in order to optimize future management in an African context.
2. Methods
2.1. Study Design and Setting
We conducted a retrospective, descriptive, and analytical study of allergology consultations carried out at the Immunology-Allergology Unit of the University Hospital Center of Cocody in Abidjan, Côte d’Ivoire, over a ten-year period from January 2015 to December 2024. This specialized unit, attached to the Immunology Laboratory, manages patients referred for suspected allergic conditions and conducts necessary diagnostic evaluations (skin tests, biological assays, functional tests).
2.2. Study Population
The study included all patients—both children and adults—who consulted the unit for suspected type I (immediate, IgE-mediated) allergy during the study period and underwent a documented allergologic assessment. Follow-up consultations without new evaluations, as well as patients referred for opinion only without testing, were excluded.
From 2012 (the year the Allergy Unit was established) to 2024, a total of 1,860 patients were registered for regular follow-up. We recorded a 37.2% rate (692 patients) of loss to follow-up (only one consultation) or unusable medical records. In these records, data confirming the clinical diagnosis were missing in some cases; in others, results of the skin prick test or measurements of specific IgE (when discrepancies existed between established clinical evidence and inconclusive skin tests) or information on personal or family history of atopy were not available. These cases of loss to follow-up or unusable records were concentrated in 86.85% of instances during the period from 2012 to 2014. Consequently, our sample was drawn from the period 2015 to 2024, including 1,209 patients who were regularly followed (more than five medical consultations per patient), with fully documented medical records. The exclusion rate for the same reasons mentioned above was 3.39%. The sample size “N” was calculated using Schwarz’s formula [
, where
= 1.96; P = prevalence; i = 5%]. Based on unpublished data from a preliminary study evaluating the frequency of atopic diseases, the prevalence was estimated at approximately 29% among Ivorians. The estimated sample size of 316 was intentionally increased to 350.
2.3. Inclusion Criteria
Only patients meeting all of the following criteria were included in the study:
Patients presenting with a confirmed atopic condition based on medical history, clinical examination including skin prick testing and/or biological testing (specific IgE);
Patients with a complete medical record who had been regularly followed up (at least four medical consultations).
2.4. Exclusion Criteria
Non-IgE-mediated clinical manifestations (Type II, III, or IV), confirmed based on the onset timing and clinical signs;
Incomplete or unusable records (missing history or test results);
Follow-up visits without new diagnostic workup.
2.5. Data Collection
Data were extracted using a standardized form from archived medical records. The following variables were collected:
Sociodemographic data: age, sex, occupation, activity sector
Atopic background: personal or family history of allergy (asthma, eczema, rhinitis, urticaria)
Clinical manifestations: categorized as cutaneous (urticaria, eczema), respiratory (rhinitis, asthma), ocular (conjunctivitis), systemic (anaphylaxis), or mixed
Suspected or identified triggering factors: airborne allergens (mites, molds), food allergens, drug-related, occupational, or unidentified
Allergy investigations:
Skin tests: prick tests using the standard European panel, and when appropriate, realistic prick tests or patch tests
Biological tests: total IgE (measured by immunoenzymatic methods), specific IgE, blood eosinophils, serum tryptase
Functional tests: spirometry, provocation tests (bronchial, nasal, oral)
Therapeutic management: documented prescriptions including allergen avoidance, antihistamines, corticosteroids, injectable epinephrine, and specific allergen immunotherapy
2.6. Technical Procedures
Prick tests were performed according to current international guidelines [11], after discontinuation of antihistamines for at least five days. A test was considered positive for a wheal diameter ≥ 3 mm compared to the negative control. Allergen extracts used were obtained from certified suppliers (e.g., Stallergènes®, ALK-Abelló®, or others). Biological assays were conducted at the UHC Immunology Laboratory following standard protocols.
2.7. Statistical Analysis
Data were entered and analyzed using Microsoft Excel 2016 and Epi Info version 7.2.4. Qualitative variables were presented as counts (n) and percentages (%), and quantitative variables as means ± standard deviation. Cross-tabulations were used to assess associations between clinical manifestations, atopic profiles, triggering factors, test results, and treatments. The Chi-squared test was used to compare proportions, with statistical significance set at p < 0.05.
2.8. Ethical Considerations
The study was conducted in accordance with the ethical principles of biomedical research. Data were obtained exclusively from archived medical records and anonymized before analysis. The study received approval from the Institutional Ethics Committee of UHC Cocody (N˚/CHU-C/DMS/RG-05/06/25).
3. Results
3.1. General Characteristics of the Study Population
Over the ten-year period (2015-2024), a total of 350 patients were included. The mean age was 29.9 ± 18.5 years, ranging from 1 to 74 years. A female predominance was observed (61.7%). Students constituted the largest occupational group (26.3%), followed by workers/artisans (16.3%) and education professionals (13.4%) (Table 1).
Table 1. Clinical and environmental characteristics of patients according to the clinical presentation of allergy.
Category |
Subcategory |
Cutaneous n = 162 |
Respiratoryn = 116 |
Ocular n = 32 |
General n = 30 |
Mixed (n = 10) |
Total (n = 350) |
Type of Atopy |
None |
10 |
9 |
3 |
3 |
1 |
26 |
Familial |
14 |
8 |
10 |
3 |
3 |
38 |
Familial, personal |
117 |
85 |
14 |
17 |
4 |
237 |
Personal |
21 |
14 |
5 |
7 |
2 |
49 |
Triggering conditions |
Aeroallergens |
67 |
57 |
15 |
13 |
4 |
156 |
Food allergens |
33 |
15 |
5 |
4 |
2 |
59 |
Drug-induced |
7 |
5 |
3 |
2 |
1 |
18 |
Non-allergenic factors |
17 |
26 |
5 |
7 |
2 |
57 |
No identified trigger |
38 |
13 |
4 |
4 |
1 |
60 |
Smoking Status |
Active smoker |
44 |
47 |
14 |
16 |
5 |
126 |
Passive smoker |
27 |
24 |
7 |
10 |
2 |
70 |
Non-smoker |
91 |
45 |
11 |
4 |
3 |
154 |
Animal Exposure |
Exposed |
70 |
80 |
17 |
16 |
4 |
187 |
Not exposed |
92 |
36 |
15 |
14 |
6 |
163 |
Housing Conditions |
Allergen-promoting |
125 |
82 |
26 |
21 |
4 |
248 |
Non-allergen-promoting |
37 |
34 |
6 |
9 |
6 |
92 |
Stress Level |
High |
46 |
32 |
10 |
12 |
5 |
105 |
Moderate |
72 |
48 |
13 |
10 |
3 |
146 |
Low |
44 |
36 |
9 |
8 |
2 |
99 |
Occupational Sector |
Trade, technical jobs |
22 |
15 |
5 |
5 |
2 |
49 |
Workers and artisans |
27 |
18 |
4 |
7 |
1 |
57 |
Administrative profession |
21 |
12 |
4 |
5 |
1 |
43 |
Healthcare sector |
10 |
4 |
1 |
3 |
1 |
19 |
Education |
17 |
20 |
4 |
4 |
2 |
47 |
Students |
40 |
37 |
11 |
2 |
2 |
92 |
Unemployed |
25 |
10 |
3 |
4 |
1 |
43 |
Sex |
Female |
126 |
61 |
17 |
8 |
4 |
216 |
Male |
36 |
55 |
13 |
14 |
6 |
134 |
Age |
0 - 5 years |
10 |
16 |
8 |
5 |
5 |
43 |
6 - 15 years |
48 |
35 |
8 |
4 |
3 |
98 |
≥16 years |
104 |
65 |
16 |
21 |
2 |
209 |
This table summarizes the distribution of various demographic, clinical, and environmental characteristics across different clinical forms of allergic manifestations: cutaneous (n = 162), respiratory (n = 116), ocular (n = 32), general (n = 30), and mixed presentations (n = 10), for a total of 350 patients. Atopic status is categorized as none, familial, personal, or both familial and personal. Triggering circumstances include aeroallergens, food allergens, drug-related reactions, and non-allergenic factors (such as infections or irritants), while some patients reported no identifiable triggers. Smoking status, exposure to animals, type of housing (promoting or not the accumulation of indoor allergens), stress level, occupation, sex, and age group are also detailed. Notably, cutaneous manifestations were the most frequent, and a strong association was observed with familial and personal atopy as well as environmental exposures.
3.2. Clinical Profile of Allergic Manifestations
The most common clinical manifestations were cutaneous (urticaria, eczema) in 46.3% of cases, followed by respiratory symptoms (rhinitis, asthma) in 33.1%. Other presentations included ocular symptoms (conjunctivitis: 9.1%), generalized/systemic reactions (8.6%), and mixed forms (2.9%) (Table 1). Among respiratory presentations, a rhinitis-asthma association was identified in 37.1% of cases.
3.3. Atopic Background and Environmental Exposure
An atopic predisposition was found in 92.6% of patients, with both personal and familial history present in 67.7% of cases. The most frequently reported environmental risk factors included allergenic housing conditions (70.9%), exposure to domestic animals (53%), active or passive tobacco smoke exposure (36%), and high perceived stress levels (30%) (Table 1).
3.4. Suspected Triggering Factors
Airborne allergens were the most commonly suspected triggers (44.6%), especially tropical mites such as Blomia tropicalis (48.1%) and Glycyphagus domesticus (25.6%). Food allergens (16.9%) mainly involved peanut (42.4%), egg (27.1%), and crab (22.0%). Drug-related allergens accounted for 5.1%, and occupational exposures were rare. No identifiable trigger was reported in 17.1% of patients (Table 1 and Table 2, Figure 1).
3.5. Allergological Investigations
Skin prick tests were performed in 298 patients (85.3%), with a positivity rate of 96.7%. Polysensitization (≥3 allergens) was observed in 67.1% of tested patients. Patch tests were conducted in 8.4% of cases (Table 3).
Biological tests were less frequently performed: specific IgE assays in 19.8% of patients, total IgE in 15.1%, blood eosinophil counts in 8.4%, and serum tryptase in 6%. Functional assessments were conducted in a minority of cases: spirometry (12%), bronchial challenge tests (3.5%), nasal provocation (2.3%), and oral challenge (0%) (Table 3).
Table 2. Distribution of identified triggering factors according to the type of atopy.
Triggering Factor |
None |
Familial |
Familial and Personal |
Personal |
Total |
Aeroallergens |
10 |
18 |
101 |
27 |
156 |
Food allergens |
6 |
10 |
35 |
8 |
59 |
Drug-induced |
2 |
3 |
10 |
3 |
18 |
Non-allergenic factors |
4 |
5 |
40 |
8 |
57 |
No identified trigger |
4 |
2 |
51 |
3 |
60 |
Total |
26 |
38 |
237 |
49 |
350 |
This table presents the distribution of triggering factors identified among the study population, stratified by type of atopy : none, familial, personal, or both familial and personal. Aeroallergens (e.g., dust mites, pollen), food allergens, drug-induced triggers, and non-allergenic factors (e.g., infections, physical stimuli, irritants) were reported. A subgroup of patients did not report any identifiable triggering factor. The majority of identified triggers were found among individuals with both familial and personal atopy. The total number of participants included in this analysis was 350.
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This figure illustrates the most frequently identified allergens among patients who underwent skin prick testing. Aeroallergens, particularly Blomia tropicalis and Glycyphagus domesticus, were the most common sensitizers. Other relevant aeroallergens included Blattella germanica (German cockroach) and molds. Among food allergens, peanut, egg, crab, tomato, and banana were the most frequently involved. The predominance of tropical house dust mites highlights the need for region-specific diagnostic tools in urban African settings.
Figure 1. Major allergens identified in sensitized patients (n = 298).
Table 3. Allergen testing performed: Frequency and sensitization profiles.
Variable |
Number (n) |
Frequency (%) |
Prick test |
298 |
85.3 |
No sensitization |
30 |
10.1 |
Monosensitized (1 allergen) |
16 |
5.4 |
Oligosensitized (2 to 3 allergens) |
51 |
17.1 |
Polysensitized (more than 3 allergens) |
200 |
67.1 |
Patch test |
29 |
8.4 |
No sensitization |
5 |
17.2 |
Monosensitized (1 allergen) |
11 |
37.9 |
Oligosensitized (2 to 3 allergens) |
3 |
10.3 |
Polysensitized (more than 3 allergens) |
10 |
34.5 |
No test performed |
55 |
15.8 |
Biological Parameters |
|
|
Eosinophil count |
29 |
8.4 |
Total IgE |
53 |
15.1 |
Specific IgE |
69 |
19.8 |
Tryptase level |
21 |
6.0 |
Functional Tests |
|
|
Nasal provocation test |
8 |
2.3 |
Bronchial provocation test |
12 |
3.5 |
Spirometry |
42 |
12.0 |
This table details the diagnostic procedures conducted among the 350 patients. Skin prick tests were performed in 85.3% of cases, with a high rate of polysensitization (more than 3 allergens) observed in 67.1% of tested individuals. Patch tests were less frequently used (8.4%) and showed a similar trend. A subset of patients (15.8%) did not undergo any skin testing. Biological assessments included total and specific IgE quantification, eosinophil counts, and tryptase levels, though access remained limited. Functional testing (nasal and bronchial provocation, spirometry) was underutilized, reflecting diagnostic constraints in resource-limited settings.
3.6. Therapeutic Management
Avoidance measures were prescribed in 95.7% of cases, followed by antihistamines (93.7%) and corticosteroids (53.7%). Injectable epinephrine was administered in 7.1% of patients, primarily in cases of systemic reactions. Allergen-specific immunotherapy was initiated in 5.1% of patients (Table 4).
Table 4. Treatments prescribed according to the type of allergic manifestation.
Treatment |
Cutaneous |
Respiratory |
Ocular |
General |
Mixed |
Total |
Allergen avoidance |
140 |
120 |
25 |
28 |
22 |
335 (95.7%) |
Antihistamines |
150 |
110 |
30 |
18 |
20 |
328 (93.7%) |
Corticosteroids |
95 |
70 |
10 |
8 |
5 |
188 (53.7%) |
Injectable adrenaline |
1 |
1 |
0 |
22 |
1 |
25 (7.1%) |
Immunotherapy |
2 |
7 |
1 |
1 |
7 |
18 (5.1%) |
This table presents the distribution of therapeutic interventions according to the clinical form of allergy. Avoidance measures and antihistamines were the most frequently prescribed treatments across all types of manifestations. Corticosteroids were mainly used in cutaneous and respiratory forms, while injectable adrenaline was primarily reserved for systemic reactions. Allergen-specific immunotherapy (AIT) was initiated in a small subset of patients, especially those with mixed or respiratory forms.
3.7. Statistical Analysis Results
Several statistically significant associations were identified (Table 5):
Between sex and clinical manifestations (p < 0.001)
Between atopy type and clinical manifestations (p = 0.0078)
Between polysensitization and multiple clinical forms (p < 0.001)
Between type of clinical manifestation and prescribed treatments (p < 0.0001)
No significant association was found between triggering factors and clinical manifestations (p = 0.23), nor between occupational sector and allergic presentations (p = 0.79).
Table 5. Statistical analysis of associations between clinical, atopic, environmental, and therapeutic variables.
Comparison |
Chi2 Value |
df |
p-value |
Sex vs Clinical manifestations |
30.20 |
4 |
< 0.001 (S) |
Type of atopy vs Clinical manifestations |
26.96 |
12 |
0.0078 (S) |
Triggering factors vs Type of atopy |
15.90 |
12 |
0.196 (NS) |
Triggering factors vs Clinical manifestations |
19.77 |
16 |
0.23 (NS) |
Polysensitization vs Multiple clinical forms |
23.77 |
1 |
< 0.001 (S) |
Occupational sector vs Clinical manifestations |
18.25 |
24 |
0.79 (NS) |
Clinical manifestations vs Treatments prescribed |
254.37 |
16 |
< 0.0001 (S) |
This table summarizes the results of chi-square tests used to assess relationships between key variables. Significant associations were found between sex and clinical manifestations, type of atopy and clinical manifestations, polysensitization and multiple clinical forms, and between clinical manifestations and prescribed treatments. No significant associations were observed between triggering factors and atopy, or between occupational sector and clinical forms. A p-value < 0.05 was considered statistically significant (S), whereas p ≥ 0.05 was considered not significant (NS).
4. Discussion
This retrospective study, conducted over a ten-year period at the University Hospital of Cocody, aimed to provide an overview of allergological diagnostic practices in an Ivorian hospital setting. Cutaneous manifestations dominated the clinical presentation, followed by respiratory involvement. This distribution contrasts with observations from Western countries, where asthma and rhinitis are the most frequent reasons for allergology consultations [11] [12], but aligns with global data indicating that atopic dermatitis and urticaria are among the most common allergic manifestations [13]. In Central Africa, recent studies have highlighted an increasing prevalence of asthma and allergic rhinitis, particularly in Libreville [14]. The predominance of cutaneous involvement in females in our cohort, already reported in the literature, may be related to hormonal, immunological, and sociocultural factors [15] [16]. Atopic predisposition, observed in over 90% of cases, reflects a genetic susceptibility potentially amplified by multiple environmental exposures specific to the tropical climate (humidity, domestic allergens, urban pollution) [16]. This susceptibility, further influenced by factors such as early-life infections or nutrition, fits within a multifactorial framework of allergic sensitivity [14] [17]. In this study, no significant association was found between atopy and the triggering factors of clinical manifestations. Indeed, it is well known that in atopic individuals, clinical symptoms may be triggered by certain factors, but not systematically nor in a predictable manner. The clinical expression is determined by complex interactions between genetic predisposition, environmental influences, general health status, and specific exposures.
An increasing number of studies have highlighted the role of epigenetic mechanisms in modulating allergic risk [17]. This context may account for the high rate of polysensitization observed (over two-thirds of cases), consistent with other African data [3] [4] [14]. Polysensitization may reflect the activation of complex immunopathological mechanisms. Recent studies point to exaggerated Th2 cell responses, dysregulation of regulatory T cells (Treg), and epithelial barrier remodeling that promotes multiple sensitizations [16].
Cross-exposure to homologous allergens, such as tropomyosins from mites and crustaceans, supports this hypothesis, suggesting that local allergen immunodominance should inform the development of region-specific molecular tests. The association between polysensitization and the multiplicity of clinical manifestations underscores the importance of systematic screening and a multidisciplinary approach [18]. The predominant sensitizations to tropical mites such as Blomia tropicalis and Glycyphagus domesticus, already reported in other African studies [7] [19] [20], reflect continuous exposure to non-seasonal domestic allergens. Co-exposure to these mites and the resulting cross-reactivities partly account for the high rate of polysensitization [7] [21]. However, the dissociation between the sensitization profile (dominated by airborne allergens) and the clinical manifestations (predominantly cutaneous) suggests potential consultation or diagnostic biases, underscoring the need for complementary testing to refine clinical correlation. Cutaneous lesions, being more visible and often perceived as more disabling, are more likely to prompt specialized consultation [22].
Limited access to biological (specific IgE) and functional (spirometry, challenge tests) investigations reflects the technical and economic constraints of the context. This situation, common in sub-Saharan Africa [15], hinders the comprehensive assessment of food or drug allergies, complicates the distinction between sensitization and clinical allergy, and may lead to underdiagnosis, particularly of allergic asthma. In our setting, the unavailability of on-site testing, long sample transport times, and the high cost of biological reagents—often not covered by national health systems—limit both diagnostic accuracy and access to etiological management. A concrete strategy to improve accessibility would be to develop public–private partnerships for the local implementation of specific IgE assay platforms, coupled with simplified, validated immunotherapy protocols tailored to locally prevalent allergens (e.g., Blomia tropicalis), with subsidized pricing for vulnerable patient associations. Furthermore, the absence of molecular allergy testing (component-resolved diagnostics such as ISAC® or ALEX®) prevents the identification of major epitopes or cross-reactivities (e.g., Blot t 5 vs. Der p 10). This gap reduces the effectiveness of allergen-specific immunotherapy (ASI), whose initiation remains marginal (5.1%). Yet, in settings of polysensitization with allergic asthma or rhino-conjunctivitis, ASI could alter the course of allergic disease, prevent progression to severe forms, and improve quality of life [23]-[25]. Additionally, some diagnostic methods such as prick-to-prick testing—particularly useful for fresh food allergens in the absence of standardized extracts—remain underutilized in our setting. Their integration could nevertheless enhance the identification of clinically relevant sensitizations [26]. From a therapeutic perspective, management is primarily based on allergen avoidance measures and symptomatic treatment (antihistamines and corticosteroids), with limited access to biologics (Omalizumab, Dupilumab) due to cost constraints and the lack of validated local protocols. This situation highlights the urgent need to adapt international guidelines to African economic realities, with a focus on cost-effective interventions (targeted avoidance, therapeutic education, simplified allergen immunotherapy) [27] [28]. The significant association between clinical manifestations and prescribed treatments reinforces the relevance of personalized management strategies based on clinical severity [18]. Clinical implications: The insufficient number of trained allergists, combined with the lack of diagnostic tools adapted to tropical allergens, remains a major barrier to improving care. In 2020, approximately 200 allergists were reported across Africa [29], a number that rose to 315 by 2025 according to the 20th Francophone Allergy Congress. Nevertheless, this progress remains inadequate in view of the growing needs. Institutional recognition of allergology as a healthcare priority, the integration of dedicated training programs, and the development of regionally standardized diagnostic tests are essential levers for change. Furthermore, allergic diseases have a broader impact beyond clinical symptoms. Their indirect economic burden—through reduced productivity, absenteeism, and increased healthcare utilization—remains underexplored in Africa, though evidence from other regions underscores its significance. This calls for their inclusion in national public health strategies [30]. Despite these limitations, several research perspectives can be envisioned to advance tropical allergology in Africa. First, prospective epidemiological studies, including rural areas, are needed to better estimate the true prevalence of allergic diseases and characterize population-specific profiles. Second, investigating the impact of common parasitic co-infections in tropical regions on IgE production and skin test reactivity could help distinguish clinically relevant sensitizations from asymptomatic ones. Third, the high rate of polysensitization observed in this population—particularly among young adults—could represent a relevant immunological model for studying interactions between tropical allergens and Th2-type immunity. This context opens promising avenues for translational research, including immunological phenotyping (cytokines IL-4, IL-5, IL-13, IL-10) [31] [32], characterization of lymphocyte subpopulations (CD4+ T cells, Treg, ILC2s) [32] [33], and microbiome profiling of skin and respiratory mucosa [34]-[36]. These approaches could support better patient stratification and guide the development of personalized therapeutic strategies. In addition, the use of component-resolved diagnostics (specific IgE to molecular allergens) is essential to differentiate between cross-reactive and primary sensitizations, thereby refining therapeutic indications. Contextualized clinical trials—particularly those evaluating allergen-specific immunotherapy targeting Blomia tropicalis—should be encouraged to assess both efficacy and feasibility in local settings. Finally, socio-anthropological studies are necessary to understand barriers to allergological care (cost, self-medication, cultural beliefs) and to design appropriate community-based interventions. This multidimensional and transdisciplinary approach is crucial to advance diagnostic and therapeutic practices and to provide an effective and equitable response to the growing burden of allergic diseases in sub-Saharan Africa.
Strengths and Limitations: Our study benefits from a ten-year retrospective analysis and a representative sample from a national referral center, providing satisfactory external validity in the Ivorian context. It offers a solid foundation for improving allergy care organization, developing adapted allergen test panels, and formulating context-specific clinical recommendations. However, several limitations must be acknowledged. The retrospective design exposes the study to potential data collection bias (missing data, heterogeneous records), and the lack of molecular testing limits the precision of sensitization profiling. Its monocentric nature may also constrain the generalizability of the results. Finally, the absence of longitudinal follow-up prevents evaluation of disease progression and treatment outcomes, particularly regarding allergen immunotherapy.
5. Conclusion
This retrospective study provides a ten-year overview of allergological practice at the Cocody University Hospital. It reveals a high prevalence of polysensitization, predominantly to perennial tropical allergens, with clinical profiles largely marked by cutaneous and respiratory manifestations. However, limited access to biological and functional investigations impedes comprehensive immunological diagnosis. These findings underscore the need to strengthen local capacity: developing diagnostic tools adapted to the tropical context, providing targeted training for healthcare professionals, and integrating allergic diseases into public health priorities. Beyond its local implications, this study outlines a clinical model of tropical allergology that may inform future translational research. The development of specific molecular diagnostic tools, the integration of immunological biomarkers, and the evaluation of innovative interventions (tropicalized immunotherapy, tailored educational programs, accessible biologics) represent key development axes. Implementing these strategies requires close collaboration between hospital centers, research teams, and public health authorities.
Authors’ Contribution
Dasse Sery Romualde conceptualized, coordinated and designed the study. Kouacou Amah Patricia Victorine drafted the manuscript and contributed to its design; Siransy K.L., Nguessan Koffi, Adou AH, Yeboah Or, Seri Yida Jocelyne, Assi Aya Ursule Aniela, Memel Lasme Charline Roselle, Moussa Salimata, Oura Doris, Koya H, Attoukoula LA critically reviewed it and contributed to perform skin tests.
Acknowledgements
Special thanks to all patients included with their consent in this study.