Predictors of asthma exacerbation among patients with poorly controlled asthma despite inhaled corticosteroid treatment.

BACKGROUND: Asthma exacerbations are associated with decreased quality of life and increased health care usage. Identification of characteristics that predict increased risk of future exacerbations in patients with suboptimal control of asthma could guide treatment decisions. OBJECTIVE: To examine patient characteristics associated with risk of asthma exacerbations in patients with uncontrolled persistent asthma. METHODS: A retrospective analysis of adults and children with inadequately controlled asthma despite asthma controller therapy and enrolled in 2 randomized trials was conducted. Baseline characteristics of subjects who experienced an asthma exacerbation during the treatment period were compared with those of subjects who did not experience an exacerbation. RESULTS: Of 718 subjects (402 adults and 295 children), 108 adults (27%) and 110 children (37%) experienced an asthma exacerbation during the study period. Unscheduled health care visits for asthma or use of oral corticosteroids in the previous year were significantly associated with asthma exacerbation during the study period (P < .01). Adult subjects who experienced an exacerbation had significantly lower forced expiratory volume in 1 second compared with those who did not (2.3 vs 2.5 L, respectively, P = .02). Children who experienced an exacerbation had lower baseline pre- and post-bronchodilator ratios of forced expiratory volume in 1 second to forced vital capacity (77% vs 81%, P < .01; 82% vs 86%, P < .001, respectively). Symptom scores on validated questionnaires were significantly worse in adults but not in children who developed an exacerbation. CONCLUSION: Spirometric measurements can help identify adults and children at increased risk for asthma exacerbation. Symptom scores could be helpful in identifying adults who are at high risk for exacerbations but could be less helpful in children.

Exacerbation-like events in the 12 months prior to identification of chronic respiratory conditions in a primary care population.

Initial chronic obstructive lung disease (COPD) pharmacotherapy is based on symptom burden and exacerbation history. Inclusion of inhaled cortico-steroids (ICS) is recommended only for those with a history of exacerbations. This brief report highlights that among individuals with previously unrecognized COPD about 1 in 5 have one or more exacerbation-like events and about 1 in 10 have two or more events in the prior 12 months whether or not they self-report concomitant asthma. Closer attention to prior exacerbation-like event history might lead to more guideline concordant care. In addition, there are two other groups that have impaired but non-obstructive spirometry, some with significant respiratory symptom burden who have frequencies of exacerbation-like events similar to those meeting COPD spirometry criteria. To date we have little guidance for treatment of these individuals.

Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment?

Background: COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE™) uses five questions and peak expiratory flow (PEF) thresholds (males ≤350 L/min; females ≤250 L/min) to identify patients with a forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) <0.70 and FEV1 <60% predicted or exacerbation risk requiring further evaluation for COPD. This study tested CAPTURE's ability to identify symptomatic patients with mild-to-moderate COPD (FEV1 60%-80% predicted) who may also benefit from diagnosis and treatment. Methods: Data from the CAPTURE development study were used to test its sensitivity (SN) and specificity (SP) differentiating mild-to-moderate COPD (n=73) from no COPD (n=87). SN and SP for differentiating all COPD cases (mild to severe; n=259) from those without COPD (n=87) were also estimated. The modified Medical Research Council (mMRC) dyspnea scale and COPD Assessment Test (CAT™) were used to evaluate symptoms and health status. Clinical Trial Registration: NCT01880177, https://ClinicalTrials.gov/ct2/show/NCT01880177?term=NCT01880177&rank=1. Results: Mean age (+SD): 61 (+10.5) years; 41% male. COPD: FEV1/FVC=0.60 (+0.1), FEV1% predicted=74% (+12.4). SN and SP for differentiating mild-to-moderate and non-COPD patients (n=160): Questionnaire: 83.6%, 67.8%; PEF (≤450 L/min; ≤350 L/min): 83.6%, 66.7%; CAPTURE (Questionnaire+PEF): 71.2%, 83.9%. COPD patients whose CAPTURE results suggested that diagnostic evaluation was warranted (n=52) were more likely to be symptomatic than patients whose results did not (n=21) (mMRC >2: 37% vs 5%, p<0.01; CAT>10: 86% vs 57%, p<0.01). CAPTURE differentiated COPD from no COPD (n=346): SN: 88.0%, SP: 83.9%. Conclusion: CAPTURE (450/350) may be useful for identifying symptomatic patients with mild-to-moderate airflow obstruction in need of diagnostic evaluation for COPD.

How Well Does CAPTURE Translate?: An Exploratory Analysis of a COPD Case-Finding Method for Spanish-Speaking Patients.

BACKGROUND: This study tested the properties of a Spanish translation of CAPTURE (COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk) with selective use of peak expiratory flow (PEF). METHODS: This study comprised analyses of data from the Spanish-speaking cohort of the cross-sectional, case-control study used to develop CAPTURE. Translation procedures included forward and backward translation, reconciliation, and cognitive interviewing to assure linguistic and cultural equivalence, yielding CAPTURE-S. Spanish-speaking participants were recruited through one center and designated as case subjects (clinically significant COPD: FEV1 ≤ 60% predicted and/or at risk of COPD exacerbation) or control subjects (no or mild COPD). Subjects completed a questionnaire booklet that included 44 candidate items, the COPD Assessment Test (CAT), and the modified Medical Research Council (mMRC) dyspnea question. PEF and spirometry were also performed. RESULTS: The study included 30 participants (17 case subjects and 13 control subjects). Their mean (± SD) age was 62.6 (11.49) years, and 33% were male. CAPTURE-S scores were significantly correlated with PEF (r = -0.78), the FEV1/FVC ratio (r = -0.74), FEV1 (r = -0.69), FEV1 % predicted (r = -0.69), the CAT score (r = 0.70), and the mMRC dyspnea question (r = 0.59) (P < .0001), with significantly higher scores in case subjects than in control subjects (t = 6.16; P < .0001). PEF significantly correlated with FEV1 (r = 0.89), FEV1 % predicted (r = 0.79), and the FEV1/FVC ratio (r = 0.75) (P < .0001), with significantly lower PEF in case subjects than in control subjects (t = 5.08; P < .0001). CAPTURE-S score + PEF differentiated case subjects and control subjects with a sensitivity of 88.2% and a specificity of 92.3%. CONCLUSIONS: CAPTURE-S with selective use of PEF seems to be useful for identifying Spanish-speaking patients in need of diagnostic evaluation for clinically significant COPD who may benefit from initiation of COPD treatment. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT01880177; URL: www.clinicaltrials.gov.

Storage (irritative) and voiding (obstructive) symptoms as predictors of benign prostatic hyperplasia progression and related outcomes.

OBJECTIVES: To assess the utility of voiding and filling symptom subscores in predicting features of benign prostatic hyperplasia (BPH) progression, including acute urinary retention (AUR) and prostate surgery. METHODS: The Proscar Long-term Efficacy and Safety Study (PLESS) was a 4-year study designed to evaluate the effects of finasteride versus placebo in men with lower urinary tract symptoms (LUTS), clinical evidence of BPH, and no evidence of prostate cancer. A self-administered questionnaire was employed to quantify LUTS at baseline. Receiver operating characteristics (ROC) curves were used to assess baseline characteristics from patients treated with placebo as predictors of outcomes. The characteristics assessed included the overall symptom score (Quasi-AUA SI), separate voiding and filling subscores, prostate volume (PV) and serum prostate-specific antigen (PSA) levels. RESULTS: PV and PSA were superior to the symptom scores at predicting episodes of spontaneous AUR and all types of AUR. The Quasi-AUA SI and the filling and voiding subscores were effective at predicting progression to surgery; however, PSA was more effective at predicting this outcome. To better evaluate symptoms as predictors of surgery, patients who experienced a preceding episode of AUR were excluded from the surgery analysis. In the absence of preceding AUR, the best predictors of future surgery were the Quasi-AUA SI and the filling subscore. CONCLUSIONS: Among men with LUTS, clinical BPH and no history of AUR, the overall symptom score and storage subscore are useful parameters to aid clinicians in identifying patients at risk for future prostate surgery. PV and PSA were the best predictors of AUR, while PSA was the best predictor of prostate surgery (for all indications).