- Recommendation ID
- NG115/2
- Question
Multidimensional assessment of outcomes- How can the individual factors associated with COPD prognosis (collected from a range of sources including primary care, imaging and pulmonary rehabilitation results) be combined into a multidimensional analysis that provides accurate and useful information on prognosis?
- Any explanatory notes
(if applicable) Why this is important- People with COPD can experience anxiety concerning their disease prognosis. Suitable prognostic tools could help alleviate this stress and allow people to make plans for the future. Existing multidimensional indices are:
- unable to classify people reliably into high- and low-risk groups better than FEV1 alone or
- no better at predicting outcomes than FEV1 alone or time-consuming and consisting of components that would not be routinely available in primary care.
However, many individual factors are known to provide information, and the development of an index/indices combining these factors could help with prognosis. These indices should be validated in a general UK COPD population, and in primary care, in a wider range of outcomes than mortality alone.
Source guidance details
- Comes from guidance
- Chronic obstructive pulmonary disease in over 16s: diagnosis and management
- Number
- NG115
- Date issued
- December 2018
Other details
| Is this a recommendation for the use of a technology only in the context of research? | No |
| Is it a recommendation that suggests collection of data or the establishment of a register? | No |
| Last Reviewed | 31/12/2018 |