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BTS recommendations for assessing risk and for managing Mycobacterium tuberculosis infection and disease in patients due to start anti-TNF-α treatment
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  • Published on:
    The potential effect of dichotomising age (a continuous variable) in multivariate model analysis
    • Abebaw M Yohannes, Senior Lecturer
    • Other Contributors:
      • Connolly MJ, Senior Lecturer, University of Manchester

    Dear Editor

    We have read with great interest, Soler-Catauna and colleagues [1] article that examined, in an impressive prospective study with five years follow-up, factors predicting poor prognosis and mortality in patients with severe acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Their findings are complimentary with the current available literature in identifying that older age, arteri...

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    Conflict of Interest:
    None declared.
  • Published on:
    BTS recommendations for assessing risk and for managing Mycobacterium tuberculosis infection and dis

    Dear Editor,

    The above guidelines will prove useful to rheumatologists or gastroenterologists who will be prescribing these revolutionary drugs for their patients. I, however, have difficulty with algorithm of figure where tuberculin testing comes before risk stratification. For patients with normal chest x-rays and a low risk stratification it will not really matter if their tuberculin test is positive or negativ...

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    Conflict of Interest:
    None declared.
  • Published on:
    Comments and queries

    Dear Editor,

    Thanks to all concerned for putting together a very useful and long awaited guideline. I have the following questions and comments.

    1. What does "All Patient Rate" in table 3B mean and when should one use it, if at all for UK born patients (say white) as opposed to table 3A?

    Does a UK born white of 75 have a risk of 11 (Table 3A) or 4 (Table 3B - All patient rate column)?

    2. I...

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    Conflict of Interest:
    None declared.