The impact of patient autonomy on older adults with asthma.

BACKGROUND: Understanding patient preferences and desire for involvement in making medical decisions is important when managing chronic conditions. Previous studies have used the Autonomy Preference Index (API) in younger patients with asthma to evaluate these preferences. OBJECTIVE: To identify factors associated with autonomy and to determine whether autonomy is related to asthma outcomes among older adults. METHODS: A total of 189 older adults (>55 years old) with persistent asthma were included. Preferences for autonomy were assessed using the API, with a higher score indicating higher desire for autonomy. Scores were separated into 2 domains of information-seeking and decision-making preferences. The separated scores were correlated with asthma outcomes and demographic variables. To control for confounding factors, a linear regression analysis was performed. RESULTS: Higher decision-making preference scores correlated with female sex (P = .007), higher educational level (P = .01), and lower depression scores (P = .04). Regarding outcomes, decision-making scores positively correlated with Mini Asthma Quality of Life Questionnaire (Mini-AQLQ) scores (P = .01). On linear regression analysis, the Mini-AQLQ score remained significantly associated with decision-making preference scores (P = .03). There was no association with asthma control test scores, spirometry values, and health care use. Information-seeking preference scores correlated with educational level (P = .03), but there was no correlation with asthma outcomes. CONCLUSION: Older adults with asthma and a greater desire for involvement in decision making have better asthma-related quality of life. Future studies with the intention to increase patient autonomy may help establish a causal relationship.

Hidden Causes of Anaphylaxis.

PURPOSE OF REVIEW: This study aimed to review important hidden causes of anaphylaxis in ingestants, non-ingestants, and uncommon settings. RECENT FINDINGS: Multiple new and elusive causes of anaphylaxis have been described over the past 35 years. Further research is required to identify the epidemiology, pathophysiology, and clinical impact of these hidden causes. Although these culprits should be considered in the appropriate clinical scenarios, many remain exceedingly rare.

Distinct Asthma Phenotypes Among Older Adults with Asthma.

BACKGROUND: Older adults have high rates of asthma morbidity and mortality. Asthma is now recognized as a heterogeneous disease, yet the distinct phenotypes among older adults are unknown. OBJECTIVE: The objective of this study was to identify asthma phenotypes in a diverse population of elderly patients with asthma. METHODS: Using cluster analysis, 180 older adults with persistent asthma were analyzed. Subjects completed detailed questionnaires, skin prick testing, and spirometry with reversibility. Twenty-four core variables were analyzed. RESULTS: Four groups were identified. Subjects in cluster 1 (n = 69) typically had asthma diagnosed after the age of 40 and the shortest duration of asthma. Cluster 2 (n = 40) had the mildest asthma defined by spirometry, Asthma Control test (ACT), and Asthma Quality of Life Questionnaire (AQLQ). They also had the lowest body mass index (BMI), lowest depression score, and least number of comorbidities. Cluster 3 (n = 46) had the longest duration of asthma (56 years) and the highest atopic skin test sensitization (74%). Cluster 4 (n = 25) had the most severe asthma, with extremely low FEV1% predicted (37.8%), lowest ACT, and lowest AQLQ scores. They were more likely to be black and had the highest comorbidities. Using BMI, posttreatment FEV1% predicted, and duration of asthma, 95.6% of subjects were able to be correctly classified. CONCLUSIONS: In older adults with asthma, distinct phenotypes vary on key features that are more pronounced among the elderly, including comorbidities, fixed airway obstruction, and duration of asthma ≥40 years. Further work is required to determine the clinical and therapeutic implications for different asthma phenotypes in older adults.