The treatable traits of asthma in pregnancy: a clinical audit.

Rationale: Poor asthma control in pregnancy is associated with adverse perinatal outcomes. Treatable traits improve patient outcomes but the pattern and prevalence of treatable traits in pregnant women with asthma is unknown. Whether treatable traits in pregnant women with asthma can be identified via a virtual care consult is also unknown. The objective of the present study was to assess the prevalence of treatable traits in pregnant women with asthma using a virtual model of care. Methods: Pregnant women with asthma (n=196) underwent an assessment by an asthma nurse educator and a respiratory physician via telehealth. In this clinical audit, 16 treatable traits were assessed including two traits in the pulmonary domain, five traits in the behavioural/risk factors domain and nine traits in the extrapulmonary domain. Results: Pregnant women with asthma had a mean±sd of 7.5±2.0 treatable traits per person including 1.0±0.7 treatable traits per person in the pulmonary domain, 3.5±1.56 in the extrapulmonary domain and 2±0.9 in the risk factor/behavioural domain. Treatable traits in the behavioural/risk factor domain were most prevalent and these included limited asthma knowledge (96%), inadequate inhaler technique (84%) and no written asthma action plan (80%). On average 3.8±1.24 interventions per person were delivered for a mean±sd of 7.5±2.0 treatable traits per person. Conclusion: Virtual antenatal asthma care is a feasible approach for assessing treatable traits in pregnant women with mild asthma. Pregnant women with asthma exhibit multiple management issues. Virtual models of care might increase asthma in pregnancy service uptake and acceptability.

Effectiveness of Interventions Targeting Treatable Traits for the Management of Obstructive Airway Diseases: A Systematic Review and Meta-Analysis.

BACKGROUND: The management of obstructive airway diseases (OADs) is complex. The treatable traits (TTs) approach may be an effective strategy for managing OADs. OBJECTIVE: To determine the effectiveness of interventions targeting TTs for managing OADs. METHODS: Ovid Embase, Medline, CENTRAL, and CINAHL Plus were searched from inception to March 9, 2022. Studies of interventions targeting at least 1 TT from pulmonary, extrapulmonary, and behavioral/lifestyle domains were included. Two reviewers independently extracted relevant data and performed risk-of-bias assessments. Meta-analyses were performed using random-effects models. Subgroup and sensitivity analyses were carried out to explore heterogeneity and to determine the effects of outlying studies. RESULTS: Eleven studies that used the TTs approach for OAD management were identified. Traits targeted within each study ranged from 13 to 36. Seven controlled trials were included in meta-analyses. TT interventions were effective at improving health-related quality of life (mean difference [MD] = -6.96, 95% CI: -9.92 to -4.01), hospitalizations (odds ratio [OR] = 0.52, 95% CI: 0.39 to 0.69), all-cause-1-year mortality (OR = 0.65, 95% CI: 0.45 to 0.95), dyspnea score (MD = -0.29, 95% CI: -0.46 to -0.12), anxiety (MD = -1.61, 95% CI: -2.92 to -0.30), and depression (MD = -2.00, 95% CI: -3.53 to -0.47). CONCLUSION: Characterizing TTs and targeted interventions can improve outcomes in OADs, which offer a promising model of care for OADs.

Treatable traits in an English cohort: prevalence and predictors of future decline in lung function and quality of life in COPD.

BACKGROUND: "Treatable traits (TTs)" is a precision medicine approach for facilitating multidimensional assessment of every patient with chronic airway disease, in order to determine the core traits associated with disease outcomes where targeted treatments may be applied. OBJECTIVES: To determine the prevalence of TTs in chronic obstructive pulmonary disease (COPD) and which traits predict future decline in lung function and quality of life (QoL). METHODS: A 4-year longitudinal evaluation was conducted using data from 3726 participants in the English Longitudinal Study of Ageing (ELSA). TTs were identified based on published recommendations. Traits that predicted decline in lung function and QoL were analysed using generalised estimating equations. RESULTS: Overall, 21 TTs, including pulmonary (n=5), extra-pulmonary (n=13) and behavioural/lifestyle risk-factors (n=3) were identified. In multivariate analyses, the traits of chronic bronchitis (ß -0.186, 95% CI -0.290 to -0.082), breathlessness (ß -0.093, 95% CI -0.164 to -0.022), underweight (ß -0.216, 95% CI -0.373 to -0.058), sarcopenia (ß -0.162, 95% CI -0.262 to -0.061) and current smoking (ß -0.228, 95% CI -0.304 to -0.153) predicted decline in forced expiratory volume in 1 s (FEV1). Of the seven traits that predicted decline in QoL, depression (ß -7.19, 95% CI -8.81 to -5.57) and poor family and social support (ß -5.12, 95% CI -6.65 to -3.59) were the strongest. CONCLUSION: The core TTs of COPD associated with a decline in lung function and QoL were identified. Targeting these impactful traits with individualised treatment using a precision medicine approach may improve outcomes in people with COPD.

Identification of asthma phenotypes based on extrapulmonary treatable traits.

Asthma is a heterogeneous and complex disease, and a description of asthma phenotypes based on extrapulmonary treatable traits has not been previously reported.The objective of this study was to identify and characterise clusters based on clinical, functional, anthropometrical and psychological characteristics in participants with moderate-to-severe asthma.This was a cross-sectional multicentre study involving centres from Brazil and Australia. Participants (n=296) with moderate-to-severe asthma were consecutively recruited. Physical activity and sedentary time, clinical asthma control, anthropometric data, pulmonary function and psychological and health status were evaluated. Participants were classified by hierarchical cluster analysis and the clusters compared using ANOVA, Kruskal--Wallis and Chi-squared tests. Multiple logistic and linear regression models were performed to evaluate the association between variables.We identified four clusters: 1) participants with controlled asthma who were physically active; 2) participants with uncontrolled asthma who were physically inactive and more sedentary; 3) participants with uncontrolled asthma and low physical activity, who were also obese and experienced anxiety and/or depression symptoms; and 4) participants with very uncontrolled asthma who were physically inactive, more sedentary, obese and experienced anxiety and/or depression symptoms. Higher levels of sedentary time, female sex and anxiety symptoms were associated with increased odds of exacerbation risk, while being more active showed a protective factor for hospitalisation. Asthma control was associated with sex, the occurrence of exacerbation, physical activity and health status.Physical inactivity, obesity and symptoms of anxiety and/or depression were associated with worse asthma outcomes, and closely and inextricably associated with asthma control. This cluster analysis highlights the importance of assessing extrapulmonary traits to improve personalised management and outcomes for people with moderate and severe asthma.