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TBscore: Signs and symptoms from tuberculosis patients in a low-resource setting have predictive value and may be used to assess clinical course 

Authors: Christian Wejse ab;  Per Gustafson c;  Jens Nielsen a;  Victor Francisco Gomes a;  Peter Aaby a;  Paul Lehm Andersen b; Morten Sodemann ad
Affiliations:   a From the Bandim Health Project, Statens Serum Institute, Bissau, Guinea Bissau
b Infectious Disease Research Unit, Skejby, Aarhus University Hospital, Denmark
c Infectious Diseases Research Group, Department of Clinical Sciences, Lund University, Malmouml, Sweden
d Department of Infectious Diseases, Copenhagen University Hospital, Denmark
DOI: 10.1080/00365540701558698
Publication Frequency: 10 issues per year
Published in: journal Scandinavian Journal of Infectious Diseases, Volume 40, Issue 2 2008 , pages 111 - 120
First Published: 2008
Formats available: HTML (English) : PDF (English)
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Abstract

We developed a clinical score to monitor tuberculosis patients in treatment and to assess clinical outcome. We used the WHO clinical manual to choose signs and symptoms, including cough, haemoptysis, dyspnoea, chest pain, night sweating, anaemia, tachycardia, lung-auscultation finding, fever, low body-mass index, low mid-upper arm circumference giving patients a TBscore from 0 to 13. We validated the score with data from a cohort of 698 TB patients, assessing sensitivity to change and ability to predict mortality. The TBscore declined for 96% of the surviving patients from initiation to end of treatment, and declined with a similar pattern in HIV-infected and HIV-uninfected patients, as well as in smear negative and smear positive patients. The risk of dying during treatment increased with higher TBscore at inclusion. For patients with a TBscore of >8 at inclusion, mortality during the 8 months treatment was 21% (45/218) versus 11% (55/480) for TBscore <8 (p<0.001). TBscore assessed at end of treatment also strongly predicted subsequent mortality. The TBscore is a simple and low-cost tool for clinical monitoring of tuberculosis patients in low-resource settings and may be used to predict mortality risk. Low TBscore or fall in TBscore at treatment completion may be used as a measure of improvement.
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