Slavica Labor

Mood disorders in adult asthma phenotypes

ABSTRACT Objective: Studies show high comorbidity of mood disorders in asthma. As asthma is a highly heterogeneous disease with different phenotypes it can be expected that there is a difference in this association with different asthma phenotypes. The aim of our cross-sectional study was to assess the association of specific asthma phenotypes with anxiety and/or depression and their impact on asthma control. Methods: A cross-sectional study in 201 consecutive adult outpatients with asthma (≥18 years of age) was conducted. Each patient underwent physical examination, detailed medical history, Hospital Anxiety and Depression Scale, Asthma Control Questionnaire, Asthma Control Test, together with measurements of lung function and fraction of exhaled nitric oxide. Phenotypes were assessed using cluster analysis, and a multivariate analysis was used to identify associations of mood disorders with different phenotypes. Results: Five asthma phenotypes were identified: allergic (AA, 43.8%), aspirin-exacerbated respiratory disease (AERD, 21.9%), late-onset (LOA, 18.9%), obesity-associated (OAA, 10.0%), and respiratory infections associated asthma (RIAA, 5.5%). A multivariate analysis showed a significant association of anxiety with LOA and comorbid hypertension (LOA, odds ratio (OR) = 2.12; hypertension, OR = 2.37, p = 0.012), and depression with AA, RIAA, hypertension, and ACQ score (AA, OR = 6.07; RIAA, OR = 4.73; hypertension, OR = 5.67; ACQ, OR = 1.87; p < 0.001). Comorbid anxiety/depression was associated with AA, LOA, RIAA, hypertension, and ACQ score (AA, OR = 10.15; LOA, OR = 2.98; RIAA, OR = 6.29; hypertension, OR = 5.15; ACQ, OR = 1.90; p < 0.001. Conclusion: Mood disorders were significantly associated with AA, LOA, and infection-associated asthma, together with comorbid hypertension and the level of asthma control.

Exhaled Breath Temperature as a Novel Marker of Future Development of COPD: Results of a Follow-Up Study in Smokers.

ABSTRACT Although only less than one-third of smokers develop COPD, early marker(s) of COPD development are lacking. The aim of this research was to assess the ability of an average equilibrium exhaled breath temperature (EBT) in identifying susceptibility to cigarette smoke so as to predict COPD development in smokers at risk. The study was a part of a multicenter prospective cohort study in current smokers (N = 140, both sexes, 40–65 years, ≥20 pack-years) with no prior diagnosis of COPD. Diagnostic workup includes history, physical, quality of life, hematology and highly sensitive CRP, EBT before and after smoking a cigarette, lung function with bronchodilator test, and 6-minute walk test. Patients without a diagnosis of COPD and in GOLD 1 stage at initial assessment were reassessed after 2 years. COPD was additionally diagnosed based on lower level of normal (LLN) lung function criteria. Utility of EBT for disease progression was analyzed using receiver operator curve (ROC) and logistic regression analyses. Change in EBT after smoking a cigarette at initial visit (ΔEBT) was significantly predictive for disease progression (newly diagnosed COPD; newly diagnosed COPD + severity progression) after 2 years (p < 0.05 for both). ΔEBT had an AUC of 0.859 (p = 0.011) with sensitivity of 66.7% and specificity of 98.1% for newly diagnosed COPD using LLN criteria. We conclude that EBT shows potential for predicting the future development of COPD in current smokers. This was best seen using LLN to diagnose COPD, adding further evidence to question the use of GOLD criteria for diagnosing COPD.

Development and the initial validation of a new self-administered questionnaire for an early detection of health status changes in smokers at risk for chronic obstructive pulmonary disease (MARKO questionnaire)

Aim To develop and do an initial validation of a new simple tool (self-administered questionnaire) that would be sensitive and specific enough to detect early changes in smokers leading to future development of chronic obstructive pulmonary disease (COPD). Methods 224 consecutive participants (50.9% women), with mean ± standard deviation age of 52.3 ± 6.7 years, 37.5 ± 16.7 pack-years smoking history (85.8% active smokers), and no prior diagnosis of COPD were recruited. The MARKO questionnaire was self-administered twice; at the general practitioners office and after 2-4 weeks at the tertiary care hospital. Participants were assessed for COPD by a pulmonologist after filling in a quality of life (QoL) questionnaires, history-taking, physical examination, lung function test, 6-minute walk test, and laboratory tests. They were divided into four subgroups: “healthy” smokers, symptomatic smokers, and smokers with mild and moderately severe COPD. Results Psychometric analyses indicated that the 18-item questionnaire had a very good internal consistency (Cronbach’s alpha = 0.91) and test-retest reliability for a four week period (ρc = 0.89, 95% confidence interval [CI] 0.85-0.92, Lin’s concordance). A significant correlations of MARKO scores were found with two QoL questionnaires; r = 0.69 (P < 0.001) and r = 0.81 (P < 0.001). Receiver operating characteristic curve analysis showed an area under the curve of 0.753 (95% CI 0.691-0.808, P < 0.001), with a sensitivity of 71.83% and specificity of 64.24% to discriminate “healthy” smokers from other subgroups. Conclusion Based on psychometric analyses and high convergent validity correlation with already validated QoL questionnaires, the newly developed MARKO questionnaire was shown to be a reliable self-administered short health status assessment tool. Trial registration Clinicaltrial.gov NCT01550679