BACKGROUND: Probabilistic scores have been recently suggested to identify pneumonia caused by multidrug-resistant (MDR) bacteria. The aim of the study was to validate both Aliberti and Shorr scores in predicting MDR pneumonia, comparing them with healthcare associated pneumonia (HCAP) classification. METHODS: Two independent European cohorts of consecutive patients hospitalised with pneumonia were prospectively evaluated in Barcelona, Spain (BC) and Edinburgh, UK (EC). Data on admission and during hospitalisation were collected. The predictive value of the three scores was explored for correctly indicating the presence of MDR pneumonia via a receiver-operating characteristic (ROC) curve. RESULTS: A total of 1591 patients in the BC and 1883 patients in the EC were enrolled. The prevalence of patients with MDR pathogen among those with isolated bacteria was 7.6% in the BC and 3.3% in the EC. The most common MDR pathogen found in both cohorts was MRSA, followed by MDR P aeruginosa. A significantly higher prevalence of MDR bacteria was found among patients in the intensive care unit (ICU). The two probabilistic scores, and particularly the Aliberti one, showed an area under the ROC curve higher than the HCAP classification in predicting MDR pneumonia, especially in the ICU. CONCLUSIONS: Risk scores able to identify MDR pneumonia could help in developing strategies for antimicrobial stewardship.
BACKGROUND: Probabilistic scores have been recently suggested to identify pneumonia caused by multidrug-resistant (MDR) bacteria. The aim of the study was to validate both Aliberti and Shorr scores in predicting MDR pneumonia, comparing them with healthcare associated pneumonia (HCAP) classification. METHODS: Two independent European cohorts of consecutive patients hospitalised with pneumonia were prospectively evaluated in Barcelona, Spain (BC) and Edinburgh, UK (EC). Data on admission and during hospitalisation were collected. The predictive value of the three scores was explored for correctly indicating the presence of MDR pneumonia via a receiver-operating characteristic (ROC) curve. RESULTS: A total of 1591 patients in the BC and 1883 patients in the EC were enrolled. The prevalence of patients with MDR pathogen among those with isolated bacteria was 7.6% in the BC and 3.3% in the EC. The most common MDR pathogen found in both cohorts was MRSA, followed by MDR P aeruginosa. A significantly higher prevalence of MDR bacteria was found among patients in the intensive care unit (ICU). The two probabilistic scores, and particularly the Aliberti one, showed an area under the ROC curve higher than the HCAP classification in predicting MDR pneumonia, especially in the ICU. CONCLUSIONS: Risk scores able to identify MDR pneumonia could help in developing strategies for antimicrobial stewardship.
Authors: Joseph R Paonessa; Raj D Shah; Chiagozie I Pickens; Bryan D Lizza; Helen K Donnelly; Michael Malczynski; Chao Qi; Richard G Wunderink Journal: Chest Date: 2019-02-15 Impact factor: 9.410
Authors: Russell T Attridge; Christopher R Frei; Mary Jo V Pugh; Kenneth A Lawson; Laurajo Ryan; Antonio Anzueto; Mark L Metersky; Marcos I Restrepo; Eric M Mortensen Journal: J Crit Care Date: 2016-08-11 Impact factor: 3.425
Authors: Barbara Ellen Jones; Jian Ying; Vanessa Stevens; Candace Haroldsen; Tao He; McKenna Nevers; Matthew A Christensen; Richard E Nelson; Gregory J Stoddard; Brian C Sauer; Peter M Yarbrough; Makoto M Jones; Matthew Bidwell Goetz; Tom Greene; Matthew H Samore Journal: JAMA Intern Med Date: 2020-04-01 Impact factor: 21.873