Cargando…
Predictors of positive blood cultures in critically ill patients: a retrospective evaluation
AIM: To identify predictors of bacteremia in critically ill patients, to evaluate the impact of blood cultures on the outcome, and to define conditions for breakthrough bacteremia despite concurrent antibiotic treatment. METHODS: A descriptive retrospective study was performed over a two-year period...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Croatian Medical Schools
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3284177/ https://www.ncbi.nlm.nih.gov/pubmed/22351576 http://dx.doi.org/10.3325/cmj.2012.53.30 |
_version_ | 1782224327283834880 |
---|---|
author | Previsdomini, Marco Gini, Massimiliano Cerutti, Bernard Dolina, Marisa Perren, Andreas |
author_facet | Previsdomini, Marco Gini, Massimiliano Cerutti, Bernard Dolina, Marisa Perren, Andreas |
author_sort | Previsdomini, Marco |
collection | PubMed |
description | AIM: To identify predictors of bacteremia in critically ill patients, to evaluate the impact of blood cultures on the outcome, and to define conditions for breakthrough bacteremia despite concurrent antibiotic treatment. METHODS: A descriptive retrospective study was performed over a two-year period (2007-2008) in the medico-surgical Intensive Care Unit (ICU) of the San Giovanni Hospital in Bellinzona, Switzerland. RESULTS: Forty-five out of 231 patients (19.5%) had positive blood cultures. Predictors of positive blood cultures were elevated procalcitonin levels (>2 µg/L, P < 0.001), higher severity scores (Simplified Acute Physiology Score II>43, P = 0.014; Sequential Organ Failure Assessment >4.0, P < 0.001), and liver failure (P = 0.028). Patients with bacteremia had longer hospital stays (31 vs 21 days, P = 0.058), but their mortality was not different from patients without bacteremia. Fever (t > 38.5°C) only showed a trend toward a higher rate of blood culture positivity (P = 0.053). The rate of positive blood cultures was not affected by concurrent antibiotic therapy. CONCLUSIONS: The prediction of positive blood culture results still remains a very difficult task. In our analysis, blood cultures were positive in 20% of ICU patients whose blood was cultured, and positive findings increased with elevated procalcitonin levels, liver failure, and higher severity scores. Blood cultures drawn >4 days after the start of antibiotic therapy and >5 days after surgery could detect pathogens responsible for a new infection complication. |
format | Online Article Text |
id | pubmed-3284177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Croatian Medical Schools |
record_format | MEDLINE/PubMed |
spelling | pubmed-32841772012-02-22 Predictors of positive blood cultures in critically ill patients: a retrospective evaluation Previsdomini, Marco Gini, Massimiliano Cerutti, Bernard Dolina, Marisa Perren, Andreas Croat Med J Clinical Science AIM: To identify predictors of bacteremia in critically ill patients, to evaluate the impact of blood cultures on the outcome, and to define conditions for breakthrough bacteremia despite concurrent antibiotic treatment. METHODS: A descriptive retrospective study was performed over a two-year period (2007-2008) in the medico-surgical Intensive Care Unit (ICU) of the San Giovanni Hospital in Bellinzona, Switzerland. RESULTS: Forty-five out of 231 patients (19.5%) had positive blood cultures. Predictors of positive blood cultures were elevated procalcitonin levels (>2 µg/L, P < 0.001), higher severity scores (Simplified Acute Physiology Score II>43, P = 0.014; Sequential Organ Failure Assessment >4.0, P < 0.001), and liver failure (P = 0.028). Patients with bacteremia had longer hospital stays (31 vs 21 days, P = 0.058), but their mortality was not different from patients without bacteremia. Fever (t > 38.5°C) only showed a trend toward a higher rate of blood culture positivity (P = 0.053). The rate of positive blood cultures was not affected by concurrent antibiotic therapy. CONCLUSIONS: The prediction of positive blood culture results still remains a very difficult task. In our analysis, blood cultures were positive in 20% of ICU patients whose blood was cultured, and positive findings increased with elevated procalcitonin levels, liver failure, and higher severity scores. Blood cultures drawn >4 days after the start of antibiotic therapy and >5 days after surgery could detect pathogens responsible for a new infection complication. Croatian Medical Schools 2012-02 /pmc/articles/PMC3284177/ /pubmed/22351576 http://dx.doi.org/10.3325/cmj.2012.53.30 Text en Copyright © 2012 by the Croatian Medical Journal. All rights reserved. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Science Previsdomini, Marco Gini, Massimiliano Cerutti, Bernard Dolina, Marisa Perren, Andreas Predictors of positive blood cultures in critically ill patients: a retrospective evaluation |
title | Predictors of positive blood cultures in critically ill patients: a retrospective evaluation |
title_full | Predictors of positive blood cultures in critically ill patients: a retrospective evaluation |
title_fullStr | Predictors of positive blood cultures in critically ill patients: a retrospective evaluation |
title_full_unstemmed | Predictors of positive blood cultures in critically ill patients: a retrospective evaluation |
title_short | Predictors of positive blood cultures in critically ill patients: a retrospective evaluation |
title_sort | predictors of positive blood cultures in critically ill patients: a retrospective evaluation |
topic | Clinical Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3284177/ https://www.ncbi.nlm.nih.gov/pubmed/22351576 http://dx.doi.org/10.3325/cmj.2012.53.30 |
work_keys_str_mv | AT previsdominimarco predictorsofpositivebloodculturesincriticallyillpatientsaretrospectiveevaluation AT ginimassimiliano predictorsofpositivebloodculturesincriticallyillpatientsaretrospectiveevaluation AT ceruttibernard predictorsofpositivebloodculturesincriticallyillpatientsaretrospectiveevaluation AT dolinamarisa predictorsofpositivebloodculturesincriticallyillpatientsaretrospectiveevaluation AT perrenandreas predictorsofpositivebloodculturesincriticallyillpatientsaretrospectiveevaluation |