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Predictors of outcome and long-term survival in patients with pleural infection

Abstract:
In pleural infection, medical treatment failure (chest-tube drainage and antibiotics) requires surgery and increases mortality, it would be helpful to predict which patients will fail this approach. We examined clinical predictors in 85 consecutive patients with pleural infection receiving chest drainage and intrapleural fibrinolytics, and recorded age, length of history, antibiotic delay and choice, time to drainage, blood/pleural fluid (PF) bacteriology, PF pH, lactate dehydrogenase (LDH), glucose and appearance, effusion size, pleural thickness on computed tomographic (CT) scan, and survival from time of drainage. Failures (surgery/death) were compared with successes. There were 13 (15%) medical failures. PF purulence was more frequent in medical failures (10 of 13 versus 29 of 72 successes, p < 0.02 chi-square). Absence of purulence was a useful predictor of success (positive predictive value [PPV] 93%). Purulence was not useful in predicting medical failure (PPV 26%). There was a trend for positive blood culture to predict failure (5 of 13 failures versus 11 of 72 successes, p = 0.05 chi-square), but no significant differences in other endpoints. Twelve (14%) patients died in follow-up, all with comorbidity within 400 d after drainage. Probability of survival at 4 yr was 86%. Of endpoints considered in this study, PF purulence was the only useful predictor of outcome with medical therapy in pleural infection. There is good long-term survival from pleural infection.

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
NDM Experimental Medicine
Role:
Author


Journal:
American Journal of Respiratory and Critical Care Medicine More from this journal
Volume:
160
Issue:
5 I
Pages:
1682-1687
Publication date:
1999-01-01
ISSN:
1073-449X


Language:
English
Pubs id:
pubs:80009
UUID:
uuid:ed69ca6f-cd85-4590-9574-009c53024c10
Local pid:
pubs:80009
Source identifiers:
80009
Deposit date:
2012-12-19
ARK identifier:

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