Rhinitis Disease Burden and the Impact of Social Determinants of Health.

Social determinants of health (SDHs) have a substantial impact on patient care and outcomes globally, both in low- to middle-income countries and in high-income countries. In the clinic, lack of availability of diagnostic tools, inequities in access to care, and challenges obtaining and adhering to prescribed treatment plans may further compound these issues. This article addresses a case of rhinitis in the context of SDHs and inequities in care that may affect various communities and populations around the world. SDHs may include various aspects of one's financial means, education, access to medical care, environment and living situation, and community factors, each of which could play a role in the rhinitis disease manifestations, diagnosis, and management. Allergic and nonallergic rhinitis are considered from this perspective. Rhinitis epidemiology, disease burden, and risk factors are broadly addressed. Patient evaluation, diagnostic tests, and management options are also reviewed, and issues related to SDHs are noted. Finally, inequities in care, knowledge gaps, and unmet needs are highlighted. It is critical to consider SDHs and care inequities when evaluating and treating patients for rhinitis and other allergic conditions.

Component resolved diagnostics in peanut sensitized children with and without a history of clinical reaction.

Background: Serum Peanut-specific-IgE (PN-sIgE) and peanut-component-resolved-diagnostics (CRD) are often ordered simultaneously in the evaluation for peanut allergy. Results often guide the plans for peanut oral challenge. However, the clinical utility of CRD at different total PN-sIgE levels is unclear. A commonly used predefined CRD Ara h2 cutoff value in the literature predicting probability of peanut challenge outcomes is 0.35kUA/L. Objective: To examine the utility of CRD in patients with and without a history of clinical reactivity to peanut (PN). Methods: This was a retrospective chart review of 196 children with PN-sIgE and CRD testing, of which, 98 patients had a clinical history of an IgE-mediated reaction when exposed to PN and 98 did not. The Fisher's exact test was used to assess the relationship between CRD and PN-sIgE at different cutoff levels, McNemar test and Gwet's approach (AC1 statistic) were used to examine agreement between CRD and PN-sIgE, and logistic regression was used to assess differences in the findings between patients with and without reaction history. Results: Ara h 1, 2, 3, or 9 (ARAH) levels ≤0.35 kUA/L were significantly associated with PN-sIgE levels <2 kUA/L rather than ≥2 kUA/L (p < 0.0001). When the ARAH threshold was increased to 1 kUA/L and 2 kUA/L, these thresholds were still significantly associated with PN-sIgE levels of <2, <5, and <14 kUA/L. These findings were not significantly different in patients with and without a history of clinical reactivity. Conclusion: ARAH values correlated with PN-sIgE. Regardless of clinical history, ARAH levels are unlikely to be below 0.35, 1, or 2 kUA/L if the PN-sIgE level is >2 kUA/L. Thus, if possible, practitioners should consider PN-sIgE rather than automatically ordering CRD with PN-sIgE every time. Laboratory procedures that allow automatically and reflexively adding CRD when the PN-sIgE level is ≤5 kUA/L can be helpful. However, further studies are needed in subjects with challenge-proven PN allergy.

Childhood obesity in pediatric patients with difficult-to-control asthma in a tertiary pediatric subspecialty clinic.

BACKGROUND: Identifying clinical features associated with difficult-to-control asthma will help address overall control and more-effective asthma management. OBJECTIVE: To evaluate our clinical observation that the proportion of patients who are overweight or obese is significantly higher in patients with difficult-to-control asthma than in patients with well-controlled asthma. METHODS: This was a retrospective chart review of 400 patients, ages 5 to 18 years. Cases (n = 200) were identified as 100 subjects with difficult-to-control asthma and an inhaled corticosteroid dose of ≥1000 µg/day and 100 subjects with well-controlled asthma and an inhaled corticosteroid dose of ≤500 µg/day. The control group included 200 subjects without asthma. Multivariable logistic regression models were used to assess the relationships between asthma status and weight status, age, race, and sex. RESULTS: The mean body mass index percentile (± standard deviation at 95% confidence interval) was significantly higher in the difficult-to-control asthma group versus the well-controlled asthma group versus the control group (74.66 ± 28.19 versus 54.25 ± 29.92 versus 55.19 ± 32.54; p < 0.001). Thirty-six percent of the difficult-to-control patients with asthma were obese (versus 6% of the patients with well-controlled asthma [p < 0.001] versus 13% of patients without asthma [p = 0.002]), and 47% normal weight (versus 79% of the patients with well-controlled asthma versus 75% of patients without asthma; p < 0.001). The mean age and the proportion of African Americans in the difficult-to-control asthma group were significantly higher than in the well-controlled asthma group and in the control group (p < 0.001). CONCLUSION: The results of this study demonstrated a significant association between severe persistent difficult-to-control asthma and obesity, age, and race. Patients who are obese and have difficult-to-control asthma need treatment approaches that address both asthma control and weight management.