Older adults with asthma: does age of asthma onset make a difference?

Different Impacts of Traffic-Related Air Pollution on Early-Onset and Late-Onset Asthma

Background

Early-onset asthma (EOA) and late-onset asthma (LOA) are two distinct phenotypes. Air pollution has been associated with an increase in poorer asthma outcomes. The objective of this study was to examine the effects of traffic-related air pollution (TRAP) on asthma outcomes in EOA and LOA patients.

Methods

A cross-sectional study was conducted on 675 asthma patients (LOA: 415) recruited from a major medical center in Taiwan. The land-use regression (LUR) model was used to estimate the level of exposure to PM10, PM2.5, NO2, and O3 on an individual level. We investigated the association between TRAP and asthma outcomes in EOA and LOA patients, stratified by allergic sensitization status, using a regression approach.

Results

An increase in PM10 was associated with younger age of onset, increased asthma duration, and decreased lung function in EOA patients (p<0.05). An increase in PM10 was associated with older age of onset, and decreased asthma duration, eosinophil count, and Asthma Control Test (ACT) score in LOA patients. An increase in PM2.5 was associated with younger age of onset, increased asthma duration, decreased eosinophil count, and lung function in EOA patients (p<0.05). An increase in PM2.5 was associated with decreased lung function and ACT score in LOA patients. An increase in NO2 was associated with increased eosinophil count and decreased lung function in EOA patients (p<0.05). An increase in O3 was associated with decreased lung function in LOA patients (p<0.05). In addition, associations of TRAP with age of onset and eosinophil counts were mainly observed in both EOA and LOA patients with allergic sensitization, and an association with ACT was mainly observed in LOA patients without allergic sensitization.

Conclusion

The impact of TRAP on age of onset, eosinophil count, and lung function in EOA patients, and ACT in LOA patients, was affected by the status of allergic sensitization.

Gene-Smoking Interaction Analysis for the Identification of Novel Asthma-Associated Genetic Factors

Asthma is a complex heterogeneous disease caused by gene-environment interactions. Although numerous genome-wide association studies have been conducted, these interactions have not been systemically investigated. We sought to identify genetic factors associated with the asthma phenotype in 66,857 subjects from the Health Examination Study, Cardiovascular Disease Association Study, and Korea Association Resource Study cohorts. We investigated asthma-associated gene-environment (smoking status) interactions at the level of single nucleotide polymorphisms, genes, and gene sets. We identified two potentially novel (SETDB1 and ZNF8) and five previously reported (DM4C, DOCK8, MMP20, MYL7, and ADCY9) genes associated with increased asthma risk. Numerous gene ontology processes, including regulation of T cell differentiation in the thymus (GO:0033081), were significantly enriched for asthma risk. Functional annotation analysis confirmed the causal relationship between five genes (two potentially novel and three previously reported genes) and asthma through genome-wide functional prediction scores (combined annotation-dependent depletion, deleterious annotation of genetic variants using neural networks, and RegulomeDB). Our findings elucidate the genetic architecture of asthma and improve the understanding of its biological mechanisms. However, further studies are necessary for developing preventive treatments based on environmental factors and understanding the immune system mechanisms that contribute to the etiology of asthma.

Differences Between Early- and Late-Onset Asthma: Role of Comorbidities in Symptom Control

BACKGROUND

Asthma can present in early childhood or de novo in adulthood. Our understanding of the burden of comorbidities in adult asthmatic patients stratified by age at onset is incomplete.

OBJECTIVES

To evaluate how different comorbidities may affect symptom control in two distinct groups of patients with early- and late-onset asthma (EOA and LOA, respectively) and to explore whether reported comorbidities are associated with lung function and inflammatory parameters.

METHODS

We conducted a cross-sectional study of 175 adult asthmatic patients (aged 57.5 ± 17.1 years) recruited at our university asthma clinic. We defined EOA as asthma onset less than 12 years, and LOA as onset greater than 40 years. The primary outcome was symptom control and main comorbidities evaluated were rhinitis, gastroesophageal reflux, obesity, cardiovascular conditions, and bronchiectasis. We used multivariable regression analysis to identify potential predictors of poor control in EOA and LOA.

RESULTS

Of 175 subjects, 77 had EOA (44%), 98 had LOA (56%), and comorbidities had a differential impact in the two groups. Rhinitis was more frequent in EOA (76 vs 53%; P = .02) and was associated with uncontrolled asthma (P < .001), reduced FEV₁/FVC (P = .01), increased eosinophils (P = .003) and total IgE (P < .01). Conversely, in LOA, rhinitis was associated with more controlled asthma and higher FEV₁/FVC (both P < .01). In EOA, only, IgE levels were directly related to blood eosinophils (r = 0.42; P <.001) and inversely to FEV₁/FVC (r = -0.35; P = .002). Obesity was present in 20% of patients in both groups, but only in LOA was it associated with uncontrolled disease (P = .009), reduced FEV₁/FVC (P = .009), and blood neutrophils (P = .03). In multivariable regression analysis, rhinitis in EOA and obesity in LOA were the risk factors most closely associated with poor control. Gastroesophageal reflux, cardiovascular comorbidities, and bronchiectasis did not affect control.

CONCLUSIONS

Early-onset persistent asthma and late-onset asthma are distinct phenotypes with different underlying inflammatory patterns and different comorbidities affecting symptom control.

Characterization of Asthma by Age of Onset: A Multi-Database Cohort Study

BACKGROUND

Asthma can occur at any age but the differences in patient characteristics between childhood-, adult-, and late-onset asthma are not well understood.

OBJECTIVE

To investigate differences in patients' characteristics by age at asthma onset.

METHODS

From 5 European electronic databases, we created a cohort encompassing adult patients with doctor-diagnosed asthma in 2008 to 2013. Patients were categorized based on their age at asthma onset: childhood-onset (age at onset < 18 y), adult-onset (age at onset 18-40 y), and late-onset asthma (age at onset ≥ 40 y). Comorbidities were assessed at study entry. For each characteristic and comorbidity, odds ratios and age- and sex-adjusted odds ratios (OR_adj) comparing asthma-onset categories were estimated per database and combined in a meta-analysis using a random effect model.

RESULTS

In total, 586,436 adult asthma patients were included, 81,691 had childhood-onset, 218,184 adult-onset, and 286,561 late-onset asthma. Overall, 7.3% had severe asthma. Subjects with adult-onset compared with childhood-asthma had higher risks for overweight/obesity (OR_adj 1.4; 95% CI 1.1-1.8) and lower risks for atopic disorders (OR_adj 0.8; 95% CI 0.7-0.95). Patients with late-onset compared with adult-onset asthma had higher risks for nasal polyposis (OR_adj 1.8; 95% CI 1.2-2.6), overweight/obesity (OR_adj 1.3; 95% CI 1.2-1.4), gastroesophageal reflux disease (OR_adj 1.4; 95% CI 1.2-1.7), and diabetes (OR_adj 2.3; 95% CI 1.8-2.9). A significant association between late-onset asthma and uncontrolled asthma was observed (OR_adj 2.8; 95% CI 1.7-4.5).

CONCLUSIONS

This international study demonstrates clear differences in comorbidities between childhood-, adult-, and late-onset asthma phenotypes in adults. Furthermore, patients with late-onset asthma had more frequent uncontrolled asthma.

Severe asthma in Kuwait population: Phenotype-based approach

BACKGROUND

There is increasing recognition of marked phenotypic heterogeneity within severe asthma patients.

METHODS

Severe asthma patients on GINA step 4 or 5 treatment, followed up at Al-Rashed Allergy center Kuwait, were evaluated for: demographics (gender, age, age of asthma onset), comorbidities (allergic rhinitis (AR), chronic rhinosinusitis (CRS), chronic rhinosinusitis with nasal polyposis (CRSwNP), obesity), blood biomarkers (total serum Immunoglobulin E (IgE), peripheral eosinophils), and sensitization to inhalants allergens.

RESULTS

A total of 169 patients were candidates for biological treatment. Patients were divided in two groups based on level of total IgE as a "low" group with IgE<160 IU/ml (n = 55) and "high" group with IgE≥ 160 IU/ml (n = 114). Both groups were further divided in subgroups, "low" and "high", based on absolute number of eosinophils (Eos) in peripheral blood with <300 cells/μl or ≥ 300 cells/μl. Only 10% of patients were in low IgE/low Eos while majority (46%) were in the high IgE/high Eos group. Mean age of patients was 44.1 year with domination of females (n = 123). Majority of patients were obese. AR, CRS and CRSwNP were more common in group with IgE ≥160 IU/ml, while CRS and CRSwNP in group with Eos ≥300 cells/μl.

CONCLUSION

The majority of severe asthma patients in Kuwait are obese females with adult-onset asthma (>18 years of age) who were allergic with comorbid conditions including AR, CRS and CRSwNP, which correlates well with the level of Eos.

Clinical Differences between Early- and Late-Onset Asthma: A Population-Based Cross-Sectional Study

Background

Limited information exists about the nature of late-onset asthma (LOA) without medication intervention when compared to early-onset asthma (EOA). Our goal was to understand how EOA and LOA affect clinical and pathophysiological features.

Methods

A population-based cross-sectional study was carried out in Zhongshan Hospital (Shanghai, China). EOA and LOA were based on age of diagnosis (before and after age 40 years, respectively). Clinical variables were collected with an emphasis on allergic features, analyzed, related, and compared using one-way ANOVA or Kruskal-Wallis test. Correlations between blood basophils and clinical data were evaluated by Spearman's rank test. Statistical analyses were conducted with SPSS v24.0.

Results

Of a total of 12,760 adults with cough, sputum, or chest tightness, 90 subjects with EOA (mean age ± standard deviation (SD):28.73 ± 5.89), 111 with LOA (mean age ± SD: 60.25 ± 9.85), and 106 with chronic obstructive pulmonary disease (COPD) (mean age ± SD: 61.58 ± 10.95) were selected. FEV₁/FVC (%), FEV₁% predicted, and FVC% predicted were all significantly lower in LOA compared to EOA (p < 0.01). The values of post-bronchodilator FEV₁ in bronchodilator reversibility testing were higher in the LOA and EOA groups compared to subjects with COPD (p < 0.01). Among allergic features, mite sensitization was most common in EOA patients, followed by LOA and COPD, whereas mold sensitization was more prevalent in LOA than EOA. Moreover, blood eosinophils were a typical feature of asthma in both EOA and LOA compared to COPD and controls (p < 0.01), and there were no differences in blood neutrophils in LOA compared to controls. Interestingly, blood basophils were increased in both EOA (p < 0.01) and LOA (p < 0.05) compared to COPD and controls. This variable correlated with eosinophils in EOA (r = 0.549, p=0.002) but not in LOA.

Conclusion

LOA is a distinct clinical entity from EOA. In LOA, atopy was less frequent and spirometry values were lower when compared to EOA. In EOA, blood basophils and eosinophils were significantly correlated owing to pathophysiological differences between the two forms of the disease.

Differences in the Clinical Characteristics of Early- and Late-Onset Asthma in Elderly Patients

Differences between early-onset and late-onset asthma in elderly subjects have not been comprehensively described in China. We conducted a cross-sectional study to determine the phenotypic differences between early-onset asthma (EOA) and late-onset asthma (LOA) in elderly patients. We collected clinical and physiological data from 176 elderly patients with asthma. Participants were divided into two groups: EOA group and LOA group. Demographics, comorbidities, inflammatory parameters, lung function, severity, asthma control, and medication use among EOA and LOA elderly patients were compared. Elderly subjects with EOA had more atopic disease, a stronger positive family history of asthma, higher IgE, and exhaled nitric oxide levels as compared to those with LOA. In contrast, elderly subjects with LOA had lower lung function and more marked fixed airflow obstruction (FAO). Elderly subjects with LOA had a higher incidence of chronic obstructive pulmonary disease (COPD). No differences were observed in age, gender, BMI, history of smoking, severity, and asthma control between the two groups. Both similarities and differences exist between elderly subjects with EOA and those with LOA in China. Further work is required to determine the pathophysiological, clinical, and therapeutic implications for different asthma phenotypes in elderly subjects.

Asthma in the older adult

Objective: The older adult population is increasing worldwide, and a significant percentage has asthma. This review will discuss the challenges to diagnosis and management of asthma in older adults. Data Sources: PubMed was searched for multiple terms in various combinations, including asthma, older adult, elderly, comorbid conditions, asthma diagnosis, asthma treatment, biologics and medication side effects, and adverse events. From the search, the data sources that were utilized included peer reviewed scholarly review articles, peer reviewed scientific research articles, and peer reviewed book chapters. Study Selections: Study selections that were utilized included peer reviewed scholarly review articles, peer reviewed scientific research articles, and peer reviewed book chapters. Results: Asthma in older adults is frequently underdiagnosed and has higher morbidity and mortality rates compared to their younger counterparts. A detailed history and physical examination as well as judicious testing are essential to establish the asthma diagnosis and exclude alternative ones. Medical comorbidities, such as cardiovascular disease, cognitive impairment, depression, arthritis, gastroesophageal reflux disease (GERD), rhinitis, and sinusitis are common in this population and should also be assessed and treated. Non-pharmacologic management, including asthma education on inhaler technique and self-monitoring, is vital. Pharmacologic management includes standard asthma therapies such as inhaled corticosteroids (ICS), inhaled corticosteroid-long acting β-agonist combinations (ICS-LABA), leukotriene antagonists, long acting muscarinic antagonists (LAMA), and short acting bronchodilators (SABA). Newly approved biologic agents may also be utilized. Older adults are more vulnerable to polypharmacy and medication adverse events, and this should be taken into account when selecting the appropriate asthma treatment. Conclusions: The diagnosis and management of asthma in older adults has certain challenges, but if the clinician is aware of them, the morbidity and mortality of this condition can be improved in this growing population.

A Cluster Analysis of Bronchial Asthma Patients with Depressive Symptoms

Objective Whether or not depression affects the control or severity of asthma is unclear. We performed a cluster analysis of asthma patients with depressive symptoms to clarify their characteristics. Methods Multiple medical institutions in Niigata Prefecture, Japan, were surveyed in 2014. We recorded the age, disease duration, body mass index (BMI), medications, and surveyed asthma control status and severity, as well as depressive symptoms and adherence to treatment using questionnaires. A hierarchical cluster analysis was performed on the group of patients assessed as having depression. Results Of 2,273 patients, 128 were assessed as being positive for depressive symptoms [DS(+)]. Thirty-three were excluded because of missing data, and the remaining 95 DS[+] patients were classified into 3 clusters (A, B, and C). The patients in cluster A (n=19) were elderly, had severe, poorly controlled asthma, and demonstrated possible adherence barriers; those in cluster B (n=26) were elderly with a low BMI and had no significant adherence barriers but had severe, poorly controlled asthma; and those in cluster C (n=50) were younger, with a high BMI, no significant adherence barriers, well-controlled asthma, and few were severely affected. The scores for depressive symptoms were not significantly different between clusters. Conclusion About half of the patients in the DS[+] group had severe, poorly controlled asthma, and these clusters were able to be distinguished by their Adherence Starts with Knowledge (ASK)-12 score, which reflects adherence barriers. The control status and severity of asthma may also be related to the age, disease duration, and BMI in the DS[+] group.

Asthma Over the Age of 65: All's Well That Ends Well

Asthma in older adults (often classified as those 65 years or older) is relatively common, underdiagnosed, and suboptimally treated. It is an important health problem, as the population of the United States continues to age. Unfortunately, asthma morbidity and mortality rates are highest in this age group. Alterations in the innate and adaptive immune responses occur with aging, and contribute to pathophysiologic differences and subsequent treatment challenges. The symptoms of asthma may differ from those in younger populations, and often include fatigue. There are unique factors that can complicate asthma management among older adults, including comorbidities, menopause, caregiver roles, and depression. Pharmacologic therapies are often not as effective as in younger populations, and may have greater side effects. Spirometry, peak flow measurements, and asthma education are typically underused, and may contribute to delays in diagnosis as well as worse outcomes. There are specific strategies that health care providers can take to improve the care of older adults with asthma.

Late-onset asthma: current perspectives

Because the pathophysiology of asthma has diverse characteristics, to manage the disease effectively, it is important for clinicians to distinguish among the clinical phenotypes. Among them, adult-onset asthma, that is, late-onset asthma (LOA), is increasing because of the aging of the population. The phenotype of LOA is largely divided into two types according to the presence or absence of eosinophilic inflammation, T-helper (Th)2- and non-Th2-associated LOA. Especially in Th2 LOA related to rhinosinusitis, as pulmonary function at onset is poor and asthma exacerbations occur frequently, it is important to detect this phenotype in the early phase by using a biomarker of Th2-type inflammation such as fractional exhaled nitric oxide (FENO). As non-Th2-LOA is often resistant to corticosteroids, this phenotype often requires another treatment strategy such as macrolide, diet, or smoking cessation. We often struggle with the management of LOA patients due to a lack of evidence; therefore, the elucidation of the mechanism of LOA contributes to increased efficiency of diagnosis and treatment of LOA. Age-related immune system and structural changes are thought to be associated with the pathophysiology of LOA. In the former case, changes in inflammatory cell function such as variations in the innate immune response and acquisition of autoimmunity or upregulation of oxidative stress are thought to be involved in the mechanism. Meanwhile, the latter can also become triggers or exacerbating factors of LOA via enhancement of airway hyperresponsiveness, decline in lung function, increased air trapping, and reduction in chest wall compliance. Therefore, appropriate individualized management in LOA may be possible through precisely assessing the pathophysiology based on age-related functional changes, including the immune and structural system.

An Official American Thoracic Society Workshop Report: Evaluation and Management of Asthma in the Elderly

Asthma in the elderly (>65 yr old) is common and associated with higher morbidity and mortality than asthma in younger patients. The poor outcomes in this group are due, in part, to underdiagnosis and undertreatment. There are a variety of factors related to aging itself that affect the presentation of asthma in the elderly and influence diagnosis and management. Structural changes in the aging lung superimposed on structural changes due to asthma itself can worsen the disease and physiologic function. Changes in the aging immune system influence the cellular composition and function in asthmatic airways. These processes and differences from younger individuals with asthma are not well understood. Phenotypes of asthma in the elderly have not been clearly delineated, but it is likely that age of onset and overlap with chronic obstructive pulmonary disease impact disease characteristics. Physiologic tests and biomarkers used to diagnose and follow asthma in the elderly are generally similar to testing in younger individuals; however, whether they should be modified in aging has not been established. Confounding influences, such as comorbidities (increasing the risk of polypharmacy), impaired cognition and motor skills, psychosocial effects of aging, and age-related adverse effects of medications, impact both diagnosis and treatment of asthma in the elderly. Future efforts to understand asthma in the elderly must include geriatric-specific methodology to diagnose, characterize, monitor, and treat their disease.

Menopausal asthma-much ado about nothing? An observational study

OBJECTIVE

Menopausal asthma is considered a distinct asthma phenotype. Our aim was to identify potential specific features of asthma in postmenopausal women in a cohort of Polish females.

METHODS

Asthma severity and control, pulmonary function, exhaled nitric oxide (FE_NO), peripheral blood and induced sputum (IS) differential cell count were compared in three groups: women with premenopausal asthma (group 1), menopausal women with pre-existing asthma (group 2A) and menopausal women with asthma onset in the perimenopausal or menopausal period (group 2B).

RESULTS

We enrolled 27 women to group 1, 13 to group 2A and 16 to group 2B. Asthma severity and control, blood eosinophil count and FE_NO did not differ among the groups. Menopausal women had a higher incidence of irreversible airway obstruction (84.6% in group 2A and 56.2% in group 2B vs. 22.2% in group 1, p < 0.001 and p = 0.03, respectively). The proportion of patients with sputum eosinophilia was highest in menopausal women with pre-existing asthma, although the difference did not reach statistical significance (88.9% in group 2A vs. 66.7% in group 2B and 65.0% in group 1, respectively, p = 0.86).

CONCLUSIONS

Menopausal women with asthma are characterized by an increased incidence of irreversible airway obstruction regardless of disease duration. This may indicate that age may contribute to pulmonary function impairment in asthmatic women independently of their hormonal status at the time of asthma diagnosis. Our results failed to confirm the presence of specific asthma features which would allow to distinguish the phenotype of menopausal asthma.

Asthma in the Elderly

The older population has seen the greatest increase in the prevalence of current asthma in recent years. Asthma may begin at any age and when it occurs at an advanced as opposed to a young age, it is often nonatopic, severe, and unremitting. Unfortunately, geriatric-specific guidelines are not available for the diagnosis and treatment of asthma. However, with objective monitoring, avoidance of asthma triggers, appropriate pharmacotherapy, and patient education, the disease can be managed successfully.

Characteristics and outcomes of older adults with long-standing versus late-onset asthma

OBJECTIVE

To examine the effect of age of onset on clinical characteristics and outcomes in a cohort of older patients with long-standing (LSA) and late-onset asthma (LOA).

METHODS

In all, 452 patients 60 years of age and older with persistent asthma were recruited. We defined LOA as asthma developing at age 40 or later and LSA as developing before age 40. We compared airway obstruction as assessed by spirometry, as well as asthma control using the Asthma Control Questionnaire (ACQ), quality of life using the Mini Asthma Quality of Life Questionnaire (AQLQ), and asthma-related emergency department visits and hospitalizations among patients with LSA vs. LOA.

RESULTS

Patients with LOA, were less likely to have FEV₁ <70% of predicted (23% vs. 40%, p = 0.0002), to have FEV₁/FVC<0.7 (27% vs. 38%, p = 0.01), or to have been intubated in the past (5% vs. 14%, p = 0.0007), and were also less likely to report a history of allergic conditions (64% vs 76%, p = 0.007). There was no significant difference in the level of asthma control, quality of life, or health care utilization.

CONCLUSIONS

Older adults with LOA have different clinical and physiological characteristics and outcomes compared to those with LSA. Some of these differences may represent sequelae of longstanding disease, however LOA may also represent a different clinical phenotype that could influence management approaches.

Asthma in the older adult: presentation, considerations and clinical management

Asthma affects older adults to the same extent as children and adolescents. However, one is led to imagine that asthma prevalence decreases with aging and becomes a rare entity in the elderly. From a clinical perspective, this misconception has nontrivial consequences in that the recognition of the disease is delayed and the treatment postponed. The overall management of asthma in the elderly population is also complicated by specific features that the disease develops in the most advanced ages, and by the difficulties that the physician encounters when approaching the older asthmatic subjects. The current review article aims at describing the specific clinical presentations of asthma in the elderly and highlights the gaps and pitfalls in the diagnostic and therapeutic approaches. Relevant issues with regard to the clinical management of asthma in the elderly are also discussed.

Significant predictors of poor quality of life in older asthmatics

BACKGROUND

Morbidity and mortality from asthma are high in older adults and quality of life (QOL) might be lower, although standardized measurements of QOL have not been validated in this population.

OBJECTIVE

To determine predictors of asthma-related QOL in older adults.

METHODS

Allergy and pulmonary outpatients (n = 164) at least 65 years old with an objective diagnosis of asthma completed the Mini-Asthma Quality of Life Questionnaire (mAQLQ). Demographics, medical history, and mean value for daily elemental carbon attributable to traffic, a surrogate for diesel exposure, were obtained. Regression analysis was used to determine predictors of mAQLQ scores.

RESULTS

Total mAQLQ (mean ± SD 5.4 ± 1.1) and symptom, emotional, and activity domain scores were similar to those of younger populations, whereas environmental domain scores (4.4 ± 1.7) appeared lower. Poorer mAQLQ scores were significantly associated with emergency department visits (adjusted β [aβ] = -1.3, where β values indicate the strength and direction of association, P < .0001) and with poorer scores on the Asthma Control Questionnaire (aβ = -0.7, P < .0001). Greater ECAT exposure (aβ = -1.6, P < .02), female sex (aβ = -0.4, P < .006), body mass index of at least 30 kg/m(2) (aβ = -0.4, P < .01), gastroesophageal reflux (aβ = -0.4, P < .01), nonatopic status (aβ = -0.5, P < .002), and asthma onset before 40 years of age (aβ = -0.5, P < .004) were significantly associated with poorer mAQLQ scores.

CONCLUSION

The mAQLQ scores in older adults with stable asthma were similar to those in younger populations and were predictive of other measurements of asthma control, verifying that the mAQLQ is an appropriate tool in older adults with asthma. Traffic pollution exposure was the strongest predictor of poorer asthma-related QOL in older adults with asthma.

Rates and predictors of uncontrolled bronchial asthma in elderly patients from western Romania

Purpose

Bronchial asthma (BA) is a chronic inflammatory disorder of the airways, featuring variable and often reversible airflow limitations. An accurate assessment of BA control is difficult in practice, especially in the elderly, requiring the assessment of several clinical and paraclinical parameters that are influenced not only by asthma, but also by comorbidities. The purpose of this study was to evaluate the predictors of uncontrolled BA in a group of elderly patients from western Romania.

Patients and methods

We retrospectively evaluated 126 elderly patients (aged $ 65 years), who were consecutively evaluated in the Pulmonology Department of Victor Babes Hospital, Timisoara, Romania, between March 2009 and July 2012. We collected demographic data, performed pulmonary function testing and an asthma control test (ACT), and evaluated the level of BA control based on the 2012 Global Initiative for Asthma guidelines. Statistical processing of the data was done using the Epi Info and STATA programs.

Results

In our study group, 36 (29%) patients were men and 90 (71%) were women; their mean age was 74.42±8.32 years (range: 65–85 years). A total of 14.28% of patients were smokers. About 30.15% of patients had an ACT score <19, 54.76% had an ACT score 20–24, and 15.09% had an ACT of 25. Moreover, 59.52% had normal spirometry results. Infectious exacerbations were found in 58.73% of patients. A history of allergies was demonstrated in 48.41% of patients, 34.12% had occupational exposure, and 82.53% of patients were treated with inhaled corticosteroids. Our results showed that 30.15% of patients had uncontrolled BA. We found six predictive factors for uncontrolled BA: infectious exacerbation, occupational exposure, mixed (obstructive and restrictive) ventilatory dysfunction, persistent airway obstruction on spirometry, duration of disease in months, and current smoking status. Infectious exacerbations, persistent airway obstructions, and occupational exposure were the most powerful predictors.

Conclusion

Elderly patients represent an important group that is at risk for developing uncontrolled BA. Predictors may identify those elderly patients with uncontrolled BA and facilitate early medical interventions.

Lung function impairment increases with age of diagnosis in adult onset asthma

BACKGROUND

Asthma-onset in older individuals has been associated with an accelerated decline in lung function, but direct comparisons with younger adults have not been reported.

METHODS

In a random population sample comprising 4983 individuals from the Copenhagen City Heart Study without asthma at baseline, we compared young (<35 years), middle-aged (35-64 years) and older (>64 years) adults with newly diagnosed asthma during a 10-year follow-up.

RESULTS

The proportion of cases with newly diagnosed asthma during follow-up was similar across age groups (Older adults: 7% (84/1168), middle-aged adults: 7% (223/3147), and young adults: 6% (42/668) (p = ns)). In all three age groups, lung function was reduced at baseline in subjects who were subsequently diagnosed with asthma, but most pronounced in those >35 years. (Mean FEV1%: Young 90.2% (±13.9), middle-aged 80.8% (±20.8), and older adults 80.8% (±24.2), p < 0.001). Furthermore, incident asthma was associated with an accelerated decline in lung function in older adults (young adults 11.0 mL/year, middle-aged adults 18.2 mL/year, and older adults 30.8 mL/year). These differences were independent of FEV1 at baseline and smoking status, and were not explained by undiagnosed asthma in older adults, as the frequency of respiratory symptoms, including wheeze, was similar in all three age groups at baseline.

CONCLUSIONS

Asthma was diagnosed as frequently in older as in younger adults. Preexisting symptoms were equally common, but lung function was more reduced pre-diagnosis, and declined more rapidly in older adults. This emphasizes the need for a high level of therapeutic attention in patients with asthma diagnosed late in life.

Age at asthma onset and subsequent asthma outcomes among adults with active asthma

INTRODUCTION

Little is known about the extent to which the age at which asthma first began influences respiratory health later in life. We conducted these analyses to examine the relationship between age at asthma onset and subsequent asthma-related outcomes.

METHODS

We used data from 12,216 adults with asthma who participated in the 2010 Behavioral Risk Factor Surveillance System Asthma Call-back Survey to describe the distribution of age at asthma onset. Linear regression was used to estimate associations of age at asthma onset with asthma-related outcomes, including symptoms in the past 30 days and asthma-related emergency visits.

RESULTS

Asthma onset before age 16 was reported by an estimated 42% of adults with active asthma, including 14% with onset at 5-9 years of age who reported experiencing any asthma symptoms on 21% of days in the past month. Compared to this group, the percentage of days in the past month with any asthma symptoms was 14.8% higher (95% confidence interval (CI): 5.4, 24.1) among those whose asthma onset occurred at <1 year. When age at onset occurred at 10 years or older there was little change in the prevalence of asthma-related emergency visits across age at onset categories.

CONCLUSION

Age at asthma onset may affect subsequent asthma-related outcomes.