Predictors of Asthma Control and Exacerbations: A Real-World Study

Preclinical Evaluation of Electronic Health Records (EHRs) to Predict Poor Control of Chronic Respiratory Diseases in Primary Care: A Novel Approach to Focus Our Efforts

Background/Objectives: Managing chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD) within the Spanish Sistema Nacional de Salud (SNS) presents significant challenges, particularly due to their high prevalence and poor disease control rates-approximately 45.1% for asthma and 63.2% for COPD. This study aims to develop a novel predictive model using electronic health records (EHRs) to estimate the likelihood of poor disease control in these patients, thereby enabling more efficient management in primary care settings. Methods: The Seleida project employed a bioinformatics approach to identify significant clinical variables from EHR data in primary care centers in Seville and Valencia. Statistically significant variables were incorporated into a logistic regression model to predict poor disease control in patients with asthma and COPD patients. Key variables included the number of short-acting β-agonist (SABA) and short-acting muscarinic antagonist (SAMA) canisters, prednisone courses, and antibiotic courses over the past year. Results: The developed model demonstrated high accuracy, sensitivity, and specificity in predicting poorly controlled disease in both asthma and COPD patients. These findings suggest that the model could serve as a valuable tool for the early identification of at-risk patients, allowing healthcare providers to prioritize and optimize resource allocation in primary care settings. Conclusions: Integrating this predictive model into primary care practice could enhance the proactive management of asthma and COPD, potentially improving patient outcomes and reducing the burden on healthcare systems. Further validation in diverse clinical settings is warranted to confirm the model's efficacy and generalizability.

Risk Factors Associated with Asthma Control and Quality of Life in Patients with Mild Asthma Without Preventer Treatment, a Cross-Sectional Study

Purpose

To study risk factors for uncontrolled asthma and insufficient quality of life (QoL) in patients with mild asthma, ie those without preventer treatment.

Patients and Methods

Patients aged 18-75 years with a doctor's diagnosis of asthma randomly selected from primary and secondary care in Sweden. Mild asthma was defined as self-reported current asthma and no preventer treatment. Data were collected from self-completed questionnaires in 2012 and 2015. Well-controlled asthma was defined as Asthma Control Test (ACT) ≥20 points and no exacerbation and uncontrolled asthma as ACT<20 points and/or at least one exacerbation in the previous six months. QoL was measured by the Mini Asthma Quality of Life Questionnaire (Mini-AQLQ), where a total mean score of ≥ 6 indicated sufficient and < 6 insufficient QoL. Multivariate logistic regression analyses were performed using asthma control and Mini-AQLQ as dependent variables. Asthma control was dichotomized as controlled and uncontrolled asthma and the Mini-AQLQ as sufficient QoL (mean score ≥6) and insufficient QoL (mean score <6).

Results

Among 298 patients, 26% had uncontrolled asthma, 40% insufficient QoL and 20% both uncontrolled asthma and insufficient QoL. Age ≥60 years, obesity, daily smoking, rhinitis and inadequate knowledge of asthma self-management were independently associated with poor asthma control. Factors independently associated with insufficient QoL were age ≥60 years, overweight, obesity, rhinitis, sinusitis and inadequate knowledge of asthma self-management. Age ≥60 years, obesity, rhinitis and inadequate knowledge of asthma self-management were independently associated with both uncontrolled asthma and insufficient QoL.

Conclusion

Among asthma patients without preventer medication, 26% had uncontrolled asthma and 40% had insufficient asthma-related QoL. Older age, obesity, and rhinitis were risk factors for both poor asthma control and a reduced QoL, but having good knowledge of asthma self-management reduced this risk. Our findings suggest that this group of patients requires further attention and follow-up.

Development and validation of a new asthma questionnaire to help achieve a high level of control in school-age children and adolescents

BACKGROUND

Maintaining good asthma control minimizes the risk of exacerbations and lung function decline and is a primary goal of asthma management. The Japanese Pediatric Asthma Guidelines (JPGL) employs different classification criteria for control status from other guidelines, stressing a higher level of control. Based on JPGL, we previously developed a caregiver-completed questionnaire for assessing and achieving best asthma control in preschoolers. In this study, we aimed to develop a questionnaire for school-age children and adolescents.

METHODS

A working questionnaire comprising 14 items for patients and 34 items for caregivers was administered to 362 asthma patients aged 6-15 years and their caregivers. Separately, physicians filled out a questionnaire to determine JPGL-defined control. Logistic regression analysis was performed to construct a model to predict control levels using data from a randomly selected set of completed questionnaires from two-thirds of the subjects. Validation was performed using the remaining questionnaires.

RESULTS

A set of 7 questions, encompassing self-assessed control status at the time of the visit and in the past month, and nocturnal/early morning asthma symptoms for patients and frequency of asthma symptoms, dyspnea, rescue beta-agonist use, and asthma hospitalization for caregivers, were selected and the 7-item model showed a good statistical fit with AIC of 110.5. The model has been named the Best Asthma Control Test for School Children and Adolescents (Best ACT-S). Best ACT-S scores differed significantly in the hypothetical direction among the groups of different JPGL-defined control levels, step-up/down treatment decisions, and presence/non-presence of exacerbations in the previous year.

CONCLUSIONS

The Best ACT-S is a valid questionnaire for children/adolescents aiming for best asthma control.

The emerging role of digital health in the management of asthma

The most common reasons seen for lack of asthma control include misconceptions about disease control, low controller treatment adherence, poor inhaler technique, and the resulting underuse of controllers and overuse of short-acting beta2 agonists (SABAs). Narrowing these care gaps may be achieved through well-designed patient education that considers the patient's motivation, beliefs, and capabilities regarding their asthma and its management and empowers the patient to become an active participant in treatment decisions. Digital health technologies (DHTs) and digital therapeutic (DT) devices provide new opportunities to monitor treatment behaviors, improve communication between healthcare providers and patients, and generate data that inform educational interactions. DHT and DT have been proven effective in enhancing patient self-management in other chronic conditions, particularly diabetes. Accelerated integration of DHT and DT into the management of asthma patients is facilitated by the use of digital inhalers that employ sensor technology ("smart" inhalers). These devices efficiently provide real-time feedback on controller adherence, SABA use, and inhaler technique that have the strong potential to optimize asthma control.

Characteristics of Severe Asthma Patients and Predictors of Asthma Control in the Swiss Severe Asthma Registry

BACKGROUND

Asthma is a chronic airway disease, affecting over 300 million people worldwide. 5-10% of patients suffer from severe asthma and account for 50% of asthma-related financial burden. Availability of real-life data about the clinical course of severe asthma is insufficient.

OBJECTIVES

The aims of this study were to characterize patients with severe asthma in Switzerland, enrolled in the Swiss Severe Asthma Registry (SSAR), and evaluate predictors for asthma control.

METHOD

A descriptive characterisation of 278 patients was performed, who were prospectively enrolled in the registry until January 2022. Socio-demographic variables, comorbidities, diagnostic values, asthma treatment, and healthcare utilisation were evaluated. Groups of controlled and uncontrolled asthma according to the asthma control test were compared.

RESULTS

Forty-eight percent of patients were female and the mean age was 55.8 years (range 13-87). The mean body mass index (BMI) was 27.4 kg/m2 (±6). 10.8% of patients were current smokers. Allergic comorbidities occurred in 54.3% of patients, followed by chronic rhinosinusitis (46.4%) and nasal polyps (34.1%). According to the ACT score, 54.7% had well controlled, 16.2% partly controlled and 25.9% uncontrolled asthma. The most common inhalation therapy was combined inhaled corticosteroids/long-acting β2-agonists (78.8%). Biologics were administered to 81.7% of patients and 19.1% received oral steroids. The multivariable analysis indicated that treatment with biologics was positively associated with asthma control whereas higher BMI, oral steroids, exacerbations, and COPD were negative predictors for asthma control.

CONCLUSION

Biologics are associated with improved control in severe asthma. Further studies are required to complete the picture of severe asthma in order to provide improved care for those patients.

A multicomponent nutraceutical (<i>Perilla frutescens</i>, quercetin, and vitamin D3) as add-on therapy in patients with grass pollen-induced mild persistent asthma and rhinitis

Background Allergic asthma is an inflammatory disease characterized by a type 2 immune response. Pollens are a common cause of seasonal asthma. Allergic rhinitis (AR) frequently associates with asthma. The treatment usually aims at controlling inflammation and relieving symptoms. Inhaled corticosteroids are the most effective controller and short-acting b2-agonists (SABA) as a reliever for asthma. Oral antihistamines and nasal corticosteroids (NC) are the mainstays for AR. A multicomponent nutraceutical containing perilla, quercetin, and vitamin D3 significantly prevented AR exacerbations in children. Thus, the current study explored the add-on use in adult patients with mild persistent asthma and AR due to grass pollen allergy. Methods The treatment lasted three months. Asthma and AR symptoms, asthma control test, spirometry, nasal eosinophils, and use of rescue medications (SABA and NC) were evaluated in the previous grass season and throughout the treatment. All patients were treated with ciclesonide (320 mcg/day) and cetirizine (10 mg/day). Patients were randomly stratified into Group A, taking the nutraceutical, and Group B using the predetermined therapy. Results 90 patients (13-59 years old) were enrolled, and 84 completed the trial. Group A significantly improved all outcomes (p<0.001). Group B did not achieve an improvement in AR symptoms, nasal eosinophils, and nasal steroid use. The intergroup analysis showed that Group A patients experienced less severe bronchial symptoms (- 32 %), AR symptoms (- 39 %), better asthma control (+ 38 %), higher FEV1 (+ 10 %), lower SABA (- 30 %) and NC use (- 41 %), and nasal eosinophils count (- 35 %) than Group B (p<0.0001 for all). No clinically relevant adverse events occurred. Conclusion A multicomponent nutraceutical containing perilla, quercetin, and vitamin D3, as an add-on treatment to inhaled ciclesonide and cetirizine, provided a clinically relevant benefit in patients with mild persistent asthma and AR due to grass pollen uncontrolled by standard therapy.

A retrospective study regarding the influence of COVID-19 disease on asthma

BACKGROUND

During the Covid-19 pandemic patients suffering from asthma raised many concerns regarding the outcome ofthe impact of COVID-19 disease on their preexisting condition. The 2021 GINA report indicates that people with asthma do not appear to be at increased risk of a severe form of COVID-19.

METHOD

This study is a retrospective study of patients (n = 163) median age = 27.8 years, M:F = 1:1.26, with asthma evaluated using ACT (asthma control test) and VAS (visual analog scale) before and after COVID-19 disease. An ACT score over 20 points placed patients in the controlled asthma group.

RESULTS

The overall evaluation for COVID-19 in our asthma patients revealed that 22.7% of the studied group had the COVID-19 disease (21.5% in the controlled asthma group and 24.5% in uncontrolled asthma group). Asthma disease history was longer in the uncontroled asthma group (128 ± 96.8 months vs. 296 ± 59.7 months, p = 0.05). Asthma treatment was conducted according to the GINA guideline, and 18.4% (30 pts) of the patients were on allergen immunotherapy treatment. Significantly more uncontrolled patients were significantly more in Step 1 and 5 of treatment (p = 0.05 and p = 0.03). During the COVID-19 pandemic, patients in the GINA step 5 of treatment experienced a worsening of asthma, often twice as severe as compared to patients with asthma in GINA step 1-4. In these patients, even mild COVID-19 disease led to worsened asthma symptoms, while severe COVID-19 led to a severe asthma impairment measured by ACT score (p = 0.03) and VAS scale (p = 0.02), with increased oral corticosteroids consumption.

CONCLUSION

Maintaining optimal asthma control should be able to reduce risk of severe outcomes after COVID-19 disease. Communication via phone with the specialist involved in their asthma care was very comforting for patients, thus confirming the necessity to include phone calls, smart phone's application or online evaluations and counseling in long-term care of chronic diseases.