6 research outputs found

    Improvement in symptoms and pulmonary function of asthmatic patients due to their treatment according to the Global Strategy for Asthma Management (GINA)

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    <p>Abstract</p> <p>Background</p> <p>Global Initiative Strategy for Asthma Management (GINA) is poorly applied in undeveloped and developing countries. The current study examined the effects of applying GINA guidelines on treatment efficacy in asthmatic patients in Iran.</p> <p>Methods</p> <p>Twenty four asthmatic patients (usual care group) were treated as usual and 26 patients (intervention group) according to the GINA for 2 months. Asthma symptom score, asthma severity, frequency of symptoms/week and wheezing were recorded at the beginning (first visit), one month after treatment (second visit), and at the end of the study (third visit). Pulmonary function tests (PFTs) were performed by spirometry, and the patients' use of asthma drugs and their symptoms were evaluated, at each visit.</p> <p>Results</p> <p>Asthma symptoms, frequency of symptoms/week, chest wheezing, and PFT values were significantly improved in the intervention group at the second and third visits compared to first visit (p < 0.001 for all measures). In addition, exercise induced cough and wheeze were significant improved in the third visit compared to the second visit in this group (p < 0.01 for both measures). In the second and third visits all symptoms were significantly lower, and PFT values higher, in the intervention group compared to the usual care group (p < 0.005 to p < 0.001). In the usual care group, there were only small improvements in some parameters in just the second visit (p < 0.01 for all measures). The use of asthma drugs was unchanged in the usual care group and significantly reduced in the intervention group (p < 0.01) by the end of the study.</p> <p>Conclusion</p> <p>Adoption of GINA guidelines improves asthma symptoms and pulmonary function in asthmatic patients in Iran.</p

    A Multivariate Model for Predicting Respiratory Status in Patients with Chronic Obstructive Pulmonary Disease

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    OBJECTIVE: To develop and validate a multivariate model for predicting respiratory status in patients with advanced chronic obstructive pulmonary disease (COPD). DESIGN: Prospective, double-blind study of peak flow monitoring. SETTING: Albuquerque Veterans Affairs Medical Center. PATIENTS: Male veterans with an irreversible component of airflow obstruction on baseline pulmonary function tests. MEASUREMENTS: This study was conducted between January 1995 and May 1996. At entry, subjects were instructed in the use of the modified Medical Research Council Dyspnea Scale and a mini–Wright peak flow meter equipped with electronic storage. For the next 6 months, they recorded their dyspnea scores once daily and peak expiratory flow rates twice daily, before and after the use of bronchodilators. Patients were blinded to their peak expiratory flow rates, and medical care was provided in the customary manner. Readings were aggregated into 7-day sampling intervals, and interval means were calculated for dyspnea score and peak expiratory flow rate parameters. Intervals from all subjects were then pooled and randomized to separate groups for model development (training set) and validation (test set). In the training set, logistic regression was used to identify variables that predicted future respiratory status. The dependent variable was the log odds that the subject would attain his highest level of dyspnea in the next 7 days. The final model was used to stratify the test set into “high-risk” and “low-risk” categories. The analysis was repeated for 3-day intervals. MAIN RESULTS: Of the 40 patients considered eligible for study, 8 declined to participate, 4 could not master the technique of peak flow monitoring, and 6 had no fluctuations in their dyspnea level. The remaining 22 subjects form the basis of this report. Fourteen (64%) of the latter completed the 6-month protocol. Data from the 8 who were dropped or died were included up to the point of withdrawal. For 7-day forecasts, mean dyspnea score and mean daily prebronchodilator peak expiratory flow rate were identified as predictor variables. The adjusted odds ratio (OR) for mean dyspnea score was 2.71 (95% confidence interval [CI] 1.79, 4.12) per unit. For mean prebronchodilator peak expiratory flow rate, it was 1.05 (95% CI 1.01, 1.09) per percentage predicted. For 3-day forecasts, the model was composed of mean dyspnea score and mean daily bronchodilator response. The ORs for these terms were 2.66 (95% CI 2.06, 3.44) per unit and 0.980 (95% CI 0.962, 0.998) per percentage of improvement over baseline, respectively. For a given level of dyspnea, higher prebronchodilator peak expiratory flow rate and lower bronchodilator response were poor prognostic findings. When the models were applied to the test sets, “high-risk” intervals were 4 times more likely to be followed by maximal symptoms than “low-risk” intervals. CONCLUSIONS: Dyspnea scores and certain peak expiratory flow rate parameters are independent predictors of respiratory status in patients with COPD. However, our results suggest that monitoring is of little benefit except in patients with the most advanced form of this disease, and its contribution to their management is modest at best
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