Nonallergic Rhinitis: Diagnosis

Nonallergic Rhinopathy: A Comprehensive Review of Classification, Diagnosis, and Treatment

Chronic nonallergic rhinitis syndromes encompass various conditions, of which vasomotor rhinitis is the most common form, representing approximately 80% of patients, also referred to as nonallergic rhinopathy (NAR), nasal hyperreactivity, neurogenic rhinitis, or idiopathic rhinitis. Expert panels have recommended replacing vasomotor rhinitis terminology because it is more descriptive of this condition that is characterized by symptoms triggered by chemical irritants and weather changes through chemosensors, mechanosensors, thermosensors, and/or osmosensors activated through different transient receptor potential calcium ion channels. Elucidating the specific role of transient receptor potential vanilloid 1, triggered by capsaicin, has been an important advancement in better understanding the pathophysiology of NAR because it has now been shown that downregulation of transient receptor potential vanilloid 1 receptors by several therapeutic compounds provides symptomatic relief for this condition. The classification of NAR is further complicated by its association with allergic rhinitis referred to as mixed rhinitis, which involves both immunoglobulin E-mediated and neurogenic mechanistic pathways. Comorbidities associated with NAR, including rhinosinusitis, headaches, asthma, chronic cough, and sleep disturbances, underscore the need for comprehensive management. Treatment options for NAR include environmental interventions, pharmacotherapy, and in refractory cases, surgical options, emphasizing the need for a tailored approach for each patient. Thus, it is extremely important to accurately diagnose NAR because inappropriate therapies lead to poor clinical outcomes and unnecessary health care and economic burdens for these patients. This review provides a comprehensive overview of NAR subtypes, focusing on classification, diagnosis, and treatment approaches for NAR.

Perivascular Innervation in the Nasal Mucosa and Clinical Findings in Patients with Allergic Rhinitis and Idiopathic Rhinitis

Introduction  The nonspecific hyperreactivity of rhinitis has been attributed to neurotrophins activating sensory nerves and inflammatory cells. The relationship between these markers and the intensity of the symptoms is not well established and few studies have evaluated individuals with idiopathic rhinitis. Objective  The present study aims to evaluate whether perivascular innervation and nerve growth factor (NGF) are related to the intensity of the clinical conditions in allergic rhinitis (AR) and idiopathic rhinitis (IR). Methods  A total of 15 patients with AR and 15 patients with IR with the indication for inferior turbinectomy (associated or not with septoplasty) were selected. The patients received a score according to their signs and symptoms. After the surgery, we quantified eosinophils, mast cells, NGF, and nerve fibers in the nasal turbinate. Results  The score of the signs and symptoms was higher in the AR group. Nerve growth factor was found in the cytoplasm of inflammatory cells in the submucosa in greater quantity in the AR group. The nerve fibers were distributed throughout the tissue, mainly in the subepithelial, glandular, and vascular regions, and there was no difference between the groups. Greater perivascular innervation was associated with a higher signs and symptoms score. Conclusions  We concluded that these findings suggest that the NGF produced by submucosal inflammatory cells stimulates increased perivascular innervation in rhinitis, thus directly reflecting in more intense clinical conditions, especially in AR.

Rhinitis phenotypes and multimorbidities in the general population: the CONSTANCES cohort

BACKGROUND

Scarce epidemiological studies have characterised allergic rhinitis (AR) and non-allergic rhinitis (NAR) in adults. In a population-based cohort, our aims were to 1) describe rhinitis, AR and NAR, and 2) explore how asthma and conjunctivitis may lead to the identification of novel rhinitis phenotypes.

METHODS

In this cross-sectional analysis, current rhinitis was defined as present in the last 12 months using a questionnaire from the French CONSTANCES cohort. Participants with current rhinitis reporting nasal allergies were considered as AR, otherwise as NAR. We described AR and NAR phenotypes, and their phenotypes including co-occurrence with ever-asthma and ever-conjunctivitis.

RESULTS

Among the 20 772 participants included in this analysis (mean±sd age 52.6±12.6 years; 55.2% female), crude prevalences of AR and NAR were 28.0% and 10.9%. AR participants more frequently reported persistent rhinitis (31.6% versus 25.1%) and moderate-to-severe rhinitis (40.1% versus 24.2%) than NAR participants. Among AR or NAR participants, those with ever-asthma reported more moderate-to-severe rhinitis. Participants with AR, ever-asthma and ever-conjunctivitis had an earlier age of rhinitis onset, more severe rhinitis and higher eosinophil counts than participants in other groups. Results were replicated in another cohort.

CONCLUSIONS

In this large population-based cohort, 40% reported current rhinitis, with a lower prevalence of moderate-to-severe rhinitis than in clinical practice. For the first time in a general adult population, we showed that AR and NAR alone or in combination with asthma or in combination with asthma and conjunctivitis are different phenotypes. These results provide new insights on how best to manage rhinitis and its multimorbidities.

Impact of Air Pollutants and Pollen on the Severity of Nonallergic Rhinitis: A Data-Oriented Analysis

Background

Rhino-conjunctivitis symptoms are more severe in nonallergic rhinitis (NAR) patients during pollen season than in other seasons. Little is known about the role of pollen and air pollutants on the severity of NAR.

Objective

The aim of this study is to assess the cross-sectional effects of both pollen and air pollutants on NAR patients during the pollen and non-pollen seasons, and to further explore the possible relationship among these triggers.

Methods

A total of 2411 clinically diagnosed NAR outpatients from 2018 to 2019 were recruited for this study. The severity of NAR was measured using rhinoconjunctivitis symptom scores. Associations of daily exposure to pollen, PM_2.5, PM₁₀, NO₂, SO₂, CO, O₃, and rhinoconjunctivitis symptom scores were evaluated using Logistic regression models. Distributed Lag Nonlinear models were used to explore single-day and accumulative Lag effects of environmental factors mentioned above.

Results

During the pollen season, pollen concentration, higher exposure levels of PM₁₀, PM_2.5, NO₂, and SO₂ increased the severity of NAR group when compared with the low-moderate severity group. The high severity group was associated with lower exposure levels of O₃. However, during non-pollen seasons, no significant association was found in air pollutant metrics, pollen concentration, and severity of NAR. The exposure-severity effects of pollen were different when different ambient pollutants were stratified.

Conclusion

Synergistic effect of pollen and air pollutants, including PM_2.5, PM₁₀, SO₂, NO₂, and O₃, might be responsible for aggravating the symptoms of NAR patients during pollen seasons.

A Multicenter Study Assessing Risk Factors and Aeroallergens Sensitization Characteristics in Children with Self-Reported Allergic Rhinitis in China

Background

Up to now, epidemiological studies on allergy rhinitis (AR) have primarily focused on determining the risk of disease in Chinese adults, with the majority of them designed by single centers, while cross-sectional and epidemiological data describing allergic sensitization in children with self-reported AR are scarce.

Objective

This study was estimating of the latest information about the sensitization patterns and risk factors of clinical AR to develop effective strategies for the prevention and treatment of AR.

Methods

We conducted a cross-sectional survey between January 2020 and June 2021 involving children from seven cities in China who reported AR. A total of 762 children participated in this survey. To evaluate the risk factors and specific sensitization patterns of clinical AR through questionnaires and specific immunoglobulin E to 11 aeroallergens.

Results

Of the 762 patients, 593 (77.8%) had at least one positive IgE level. Aged 7–14 years (OR 1.503, (95% CI 1.058–2.136), P = 0.023); With allergic conjunctivitis (OR 1.843, (95% CI 1.297–2.620), P = 0.001) and living in the Eastern (OR 1.802, (95% CI 1.263–2.573), P = 0.001) all elevated the risk of clinical AR associated with aeroallergens. The sensitization rates of D. pteronyssinus and D. farinae were higher than those of other allergens in the 0–6 and 7–14 years old age groups. The most common aeroallergens among self-reported children with AR in the eastern were D. farinae (74.9%) and D. pteronyssinus (74.3%), while in the western were mugwort (60.0%) and marguerite (56.6%). Majority of sIgE-positive subjects were sensitized to three or more of the tested pollen allergens in the Western (52.1%), compared with 5.7% in the Eastern.

Conclusion

There was an apparent geographic variation in childhood allergies in China. Age factors also had strong impacts on the allergen sensitization rate of children, but these impacts differed across regions.

Developing nomograms for identifying allergic rhinitis among chronic rhinitis: A real-world study

Background

It is difficult to discriminate allergic rhinitis (AR) and nonallergic rhinitis (NAR) in clinical practice due to the similar clinical manifestations. The study was to assess both the demographical and clinical features of AR and NAR in the real-world data of outpatients in China.

Methods

It was a cross-sectional real-world study. AR and NAR were defined based on both subjective symptoms and objective specific serum IgE test. General demographic characteristics as well as clinical information were documented. Patients were further classified according the seasons of initial visiting hospital (during pollen seasons or not). A scoring system presented as nomograms for presence of AR was performed.

Results

In the pollen season group, age distribution, the duration of rhinitis, comorbidity of asthma, food allergies, and score of coughing were found significantly associated with AR. Additionally, in the non-pollen season group, we found that ethnicity, age distributions, duration of rhinitis, comorbidity of asthma, food allergies, and family history of allergy, together with scores of gritty eyes were associated factors of AR. Based on multivariate logistic model, we built two nomograms which included previously identified significant risk factors that could be acquired easily during clinical practice with predictive variables to assess their roles in predicting the risk of AR among outpatients with rhinitis.

Conclusions

The characteristics of patients with different phenotypes of chronic rhinitis are distinctive in different seasons and the developed nomogram in this study might be beneficial for clinical practice.

Allergic and Mixed Rhinitis: Diagnosis and Natural Evolution

Chronic rhinitis (CR) is divided into two main categories: allergic rhinitis (AR) and nonallergic rhinitis (NAR). These conditions are more recognizable to an experienced clinician, as they can be more clearly demarcated diagnostically. However, an additional 30% to 50% of patients with CR might have an overlap of NAR and AR, referred to as mixed rhinitis (MR). Progress in elucidating the pathophysiologic mechanisms behind MR and NAR has been made in the past several years, and there are now several guidelines published to assist the clinician in accurately diagnosing AR, NAR, and MR. Clinical history and subjective symptoms can provide clues for differentiating AR from MR and NAR, but allergy testing is recommended to confirm these conditions. Progress in accurately diagnosing patients with CR will be made as studies incorporate subjective (i.e., validated questionnaires such as the irritant index questionnaire (IIQ), medication responsiveness, and quality-of-life tools) and objective (i.e., nasal cytologic testing, nasal provocation, and biomarkers) methods characterizing rhinitis subtypes.

Prevalence of allergic and nonallergic rhinitis in a rural area of northern China based on sensitization to specific aeroallergens

BACKGROUND

Most epidemiologic studies reporting prevalence of allergic rhinitis (AR) and nonallergic rhinitis (NAR) have assessed solely self-reported prevalence, without confirmation by objective measures. Furthermore, reports of prevalence of NAR in Chinese subjects are scarce. Thus, we aimed to explore the prevalence and risk factors of AR and NAR in a Chinese, based on both clinical manifestation and allergic status.

METHODS

We conducted a population-based cross-sectional survey, involving 1084 local residents from a rural area of Beijing, China. Participants were enrolled using a stratified two-stage cluster sampling method. All adult participants or the guardians of children completed standardized questionnaires to provide relevant demographic and clinical information. Skin prick tests were also performed to determine sensitization to specific aeroallergens. AR/NAR was classified according to Allergic Rhinitis and its Impact on Asthma criteria.

RESULTS

Prevalence of self-reported AR was 46.80%. Based on SPT results, the confirmed standardized prevalence of AR and NAR were 16.78% and 24.60%, respectively. Severity scores for nasal itching, sneezing, rhinorrhea and congestion were significantly higher in subjects with AR, than subjects with NAR (P < 0.05 for all). The three most common aeroallergens in self-reported AR group were Blattella germanica (16.6%), Dermatophagoides farinae (14.6%), and Dermatophagoides pteronyssinus (13.9%). Family history of AR and atopic dermatitis were significantly associated with AR (adjusted OR: 4.97 and 2.69, respectively), whereas family history of AR and asthma were significantly associated with NAR (adjusted OR: 3.53 and 2.45, respectively). Similarly, comorbid asthma, CRS, and atopic dermatitis were significant risk factors for both AR and NAR.

CONCLUSIONS

Combination of standardized questionnaires and specific allergen tests may provide more accurate estimates of prevalence of AR and NAR and associated risk factors.

Transitioning the Allergy/Immunology Patient from Childhood to Adulthood

Allergic disorders and immunodeficiencies are generally chronic and even lifelong conditions, often changing over time, making the cautious transition of care from childhood to adulthood particularly important. Many, but not all, patients can continue to receive their care from the same physician as they transition through adolescence and emerging adulthood, made possible because allergy/immunology training programs require cross-training in the care of both pediatric and adult patients. Although keeping the same physician makes the transition easier for many allergy/immunology patients, even these patients face psychosocial issues unique to adolescents and emerging adults, including increased autonomy, risk-taking behavior, and medical self-management. Successful transition for patients with chronic allergic and immunologic conditions involves an understanding of the natural history of these conditions by patients and physicians alike, a gradual increase in self-management depending on individual readiness, and careful communication between pediatric and adult specialists as care is transitioned. [Pediatr Ann. 2017;46(6):e229-e234.].

The Nose and the Lung: United Airway Disease?

Epidemiologic, pathophysiologic, and clinical evidences recently revealed the link between upper and lower airways, changing the global pathogenic view of respiratory allergy. The aim of this review is to highlight the strong interaction between the upper and lower respiratory tract diseases, in particular allergic rhinitis and asthma.

Nasal inflammation and its response to local glucocorticoid regular treatment in patients with persistent non-allergic rhinitis: a pilot study

BACKGROUND

The pathogenesis of non-allergic rhinitis (NAR) is still largely unknown. Furthermore, it is unclear whether there is a correlation between the effect of nasal glucocorticoids on nasal inflammation and on nasal symptoms and quality of life.

METHODS

In this pilot study we recruited 12 healthy subjects and 24 patients with recently diagnosed persistent NAR [12 untreated and 12 under regular treatment with nasal fluticasone furoate (two sprays of 27.5 μg each in each nostril once daily, total daily dose = 110 μg) for at least 20 days]. Each subject filled a mini rhinoconjunctivitis quality of life questionnaire (mini RQLQ). Nasal scrapings were obtained from each subject and used to prepare slides for Diff-Quik and immunocytochemical staining for inflammatory and epithelial cells count, MUC5AC expression and the general pro-inflammatory transcription factor nuclear factor kB (NF-kB) activation.

RESULTS

The nasal score of the mini RQLQ, the number of nasal inflammatory cells (neutrophils, eosinophils) and the number of goblet cells are significantly higher in untreated patients with persistent NAR compared with control subjects and treated NAR patients. The percentage of MUC5AC+ nasal epithelial cells is significantly increased in untreated patients with persistent NAR compared with the control subjects (41.8 ± 6.4 vs 22.3 ± 4.8, respectively; p = 0.0403) without significant differences between control subjects and patients with persistent NAR on regular fluticasone furoate treatment (33.9 ± 5.0 %; p = 0.0604) nor between the 2 groups of persistent NAR subjects (p = 0.3260). The number of cytosolic and/or nuclear p65+ nasal epithelial and inflammatory cells was not significantly different between the three groups.

CONCLUSIONS

Patients with persistent untreated NAR, compared with normal control subjects and patients with persistent NAR under regular treatment with nasal fluticasone furoate by at least 20 days, have more nasal symptoms, worst quality of life and an increased number of nasal inflammatory cells (neutrophils, eosinophils), goblet cells and MUC5AC+ nasal epithelial cells. This nasal inflammation seems unrelated to NF-kB activation.