Literature DB >> 19761538

Predictors of positive sputum cultures in exacerbations of chronic obstructive pulmonary disease.

Angeliki M Tsimogianni1, Spyros A Papiris, Sofia Kanavaki, Georgios T Stathopoulos, Christina Sotiropoulou, Effrosyni D Manali, Pinelopi Michalopoulou, Charis Roussos, Anastasia Kotanidou.   

Abstract

BACKGROUND AND
OBJECTIVE: Although sputum culture in patients with an acute exacerbation of COPD is of uncertain value, it is routinely done. The ability to clinically identify patients likely or unlikely to yield bacterial sputum isolates would potentially reduce unnecessary tests. The objective of this study was to identify the clinical predictors of positive sputum cultures in this patient population.
METHODS: Consecutive patients with a COPD exacerbation requiring an emergency visit were prospectively enrolled. Quantitative sputum culture was performed on-site. Data on current smoking, sputum purulence, FEV(1), Medical Research Council chronic dyspnoea scale, BMI, severe exacerbations in the preceding year requiring hospitalization, PaO(2), PaCO(2), Acute Physiology and Chronic Health Evaluation (APACHE) II score, and oral and inhaled steroid use were recorded.
RESULTS: Of the 94 patients enrolled, sputum from 36 yielded bacterial pathogens. These patients were characterized by a higher frequency of purulent sputum, lower FEV(1), BMI and PaO(2,) higher APACHE II score and more frequent use of inhaled steroids (P < 0.05). On multivariate regression, purulent sputum, FEV(1) and BMI were independent determinants of a positive sputum culture. Using receiver-operator-optimized thresholds for these variables (purulent sputum, FEV(1) < 35% predicted and BMI < or = 22 kg/m(2)), we proposed a regression coefficient-weighted prediction model that accurately determined the likelihood of sputum bacterial isolation.
CONCLUSIONS: A prediction model based on the variables of purulent sputum, FEV(1) and BMI predicted sputum culture result with about 90% accuracy. Pending further validation, this model may save valuable healthcare resources.

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Year:  2009        PMID: 19761538     DOI: 10.1111/j.1440-1843.2009.01615.x

Source DB:  PubMed          Journal:  Respirology        ISSN: 1323-7799            Impact factor:   6.424


  6 in total

1.  Predictors of outcome after exacerbation of chronic obstructive pulmonary disease.

Authors:  Angeliki M Tsimogianni; Spyros A Papiris; Georgios T Stathopoulos; Effrosyni D Manali; Charis Roussos; Anastasia Kotanidou
Journal:  J Gen Intern Med       Date:  2009-07-14       Impact factor: 5.128

2.  Association of body mass index with disease severity and prognosis in patients with non-cystic fibrosis bronchiectasis.

Authors:  Q Qi; T Li; J C Li; Y Li
Journal:  Braz J Med Biol Res       Date:  2015-07-10       Impact factor: 2.590

3.  Clinical Features and C-Reactive Protein as Predictors of Bacterial Exacerbations of COPD.

Authors:  Nick A Francis; David Gillespie; Mandy Wootton; Patrick White; Janine Bates; Jennifer Richards; Hasse Melbye; Kerenza Hood; Christopher C Butler
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-12-01

Review 4.  Lung microbiology and exacerbations in COPD.

Authors:  Victoria Beasley; Priya V Joshi; Aran Singanayagam; Philip L Molyneaux; Sebastian L Johnston; Patrick Mallia
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2012-08-31

Review 5.  Pulmonary biomarkers in COPD exacerbations: a systematic review.

Authors:  Angela Koutsokera; Konstantinos Kostikas; Laurent P Nicod; Jean-William Fitting
Journal:  Respir Res       Date:  2013-10-21

6.  Bacterial flora in the sputum and comorbidity in patients with acute exacerbations of COPD.

Authors:  Ramon Boixeda; Pere Almagro; Jesús Díez-Manglano; Francisco Javier Cabrera; Jesús Recio; Isabel Martin-Garrido; Joan B Soriano
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2015-12-01
  6 in total

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