Investigation and management of chronic cough using a probability-based algorithm
| Autor: | I. Aziz, Rachel Thompson, Josephine C Ojoo, Alyn H. Morice, Anthony E. Redington, J A Kastelik |
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| Rok vydání: | 2005 |
| Předmět: |
Pulmonary and Respiratory Medicine
Spirometry Adult Male Adolescent Manometry Diagnosis Differential Bronchoscopy Risk Factors medicine Humans Prospective Studies Prospective cohort study Asthma Aged Probability Aged 80 and over Productive Cough Bronchiectasis medicine.diagnostic_test business.industry Interstitial lung disease Middle Aged medicine.disease respiratory tract diseases Respiratory Function Tests Chronic cough Cough Chronic Disease Female medicine.symptom business Algorithm Algorithms |
| Zdroj: | The European respiratory journal. 25(2) |
| ISSN: | 0903-1936 |
| Popis: | Chronic cough is a common and distressing symptom. A novel algorithm has been developed for the management of chronic cough, in which an assessment of clinical probability of disease determines the need to proceed to investigation. In this study, the performance of this algorithm in clinical practice was prospectively evaluated. A total of 131 consecutively referred patients (86 females) whose principal presenting symptom was a cough of duration >8 weeks were studied. Their age (median (range)) was 60 (16-88) yrs and cough duration 5.9 (0.2-65) yrs. A cause of cough was established in 93% of cases. The most frequent diagnoses were asthma (24% of cases), gastro-oesophageal disease (22%), post-viral cough (8%), bronchiectasis (8%) and interstitial lung disease (8%). Primary pulmonary disease was significantly more likely in patients with a productive cough and in patients with an abnormal chest radiograph. Only a small proportion ( |
| Databáze: | OpenAIRE |
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