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Can I read Body Mass Index, Airflow Obstruction and Dyspnea and Body Mass Index, Airflow Obstruction, Dyspnea Scores, Age and Pack Years-predictive Properties of New Multidimensional Prognostic Indices of Chronic Obstructive Pulmonary Disease in Primary Care on EtoBox?
Body Mass Index, Airflow Obstruction and Dyspnea and Body Mass Index, Airflow Obstruction, Dyspnea Scores, Age and Pack Years-predictive Properties of New Multidimensional Prognostic Indices of Chronic Obstructive Pulmonary Disease in Primary Care by Khalid Ansari; Niall Keaney; Andrea Kay; Monica Price; Joan Munby; Andrew Billett; Sharon Haggerty; IanK Taylor; Hajed Al Otaibi is a Medicine article available to read on EtoBox.
What is Body Mass Index, Airflow Obstruction and Dyspnea and Body Mass Index, Airflow Obstruction, Dyspnea Scores, Age and Pack Years-predictive Properties of New Multidimensional Prognostic Indices of Chronic Obstructive Pulmonary Disease in Primary Care about?
## BACKGROUND: The assessment of the severity of chronic obstructive pulmonary disease (COPD) should involve a multidimensional approach that is now clearly shown to be better than using spirometric impairment alone. The aim of this study is to validate and compare novel tools without an exercise test and to extend prognostic value to patients with less severe impairment of Forced expiratory volume 1 s. ## METHODS: A prospective, observational, primary care cohort study identified 458 eligible patients recruited from the primary care clinics in the northeast of England in 1999–2002. A new prognostic indicator – body mass index, airflow obstruction and dyspnea (BOD) together with the conventional prognostic indices age, dyspnea and airflow obstruction (ADO), global initiative for chronic obstructive lung disease (GOLD) and new GOLD matrix were studied. We also sought to improve prognostication of BOD by adding age (A) and smoking history as pack years (S) to validate BODS (BOD with smoking history) and BODAS (BOD with smoking history and age) as prognostic tools and the predictive power of each was analyzed. ## RESULTS: The survival of the 458 patients was assessed after a median of
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- Author
- Khalid Ansari; Niall Keaney; Andrea Kay; Monica Price; Joan Munby; Andrew Billett; Sharon Haggerty; IanK Taylor; Hajed Al Otaibi
- Publisher
- Medknow
- Published
- 2016
- Language
- EN
- Field
- Medicine (Health Sciences)