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Using Simple Measurements to
Predict Prognosis
Methods
that can predict success at an early stage of treatment are
incredibly valuable, as changes can be rapidly implemented to reverse
negative prognoses. We recruited and followed TB patients, and assessed
the correlation of various simple measurements in outcome. Traditional
microbiological evaluations were not found to be effective
until
two months of treatment had been completed.
After only one month of standard treatment, the following assessments were more frequent in patients who subsequently died/failed therapy: fever, feeling unwell, number of symptoms, abnormal chest examination and weight. These simple predictors can be easily implemented; combining them into a single clinical score can even more significantly improve the prediction and predictive speed of TB prognosis following the start of treatment. The more rapid and inexpensive ability of these assessments to predict prognosis have the potential to improve overall survival and to decrease transmission of TB disease. |
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