Patterns of C-reactive protein ratio predicts outcomes in healthcare-associated pneumonia in critically ill patients with cancer
Copyright © 2017 Elsevier Inc. All rights reserved..
PURPOSE: Describe the patterns of C-reactive protein relative changes in response to antibiotic therapy in critically ill cancer patients with healthcare-associated pneumonia (HCAP) and its ability to predict outcome.
METHODS: Secondary analysis of a prospective cohort of critically ill cancer patients with HCAP. CRP was sampled every other day from D0 to D6 of antibiotic therapy. Patients were classified according to an individual pattern of CRP-ratio response: fast - CRP at D4 of therapy was <0.4 of D0 CRP; slow - a continuous but slow decrease of CRP; non - CRP remained ≥0.8 of D0 CRP; biphasic - initial CRP decrease to levels <0.8 of the D0 CRP followed by a secondary rise ≥0.8.
RESULTS: 129 patients were included and septic shock was present in 74% and invasive mechanical ventilation was used in 73%. Intensive care unit (ICU) and hospital mortality rates were 47% and 64%, respectively. By D4, both CRP and CRP-ratio of survivors were significantly lower than in nonsurvivors (p<0.001 and p=0.004, respectively). Both time-dependent analysis of CRP-ratio of the four previously defined patterns (p<0.001) as ICU mortality were consistently different [fast 12.9%, slow 43.2%, biphasic 66.7% and non 71.8% (p<0.001)].
CONCLUSION: CRP-ratio was useful in the early prediction of poor outcomes in cancer patients with HCAP.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2017 |
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| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:42 |
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| Enthalten in: |
Journal of critical care - 42(2017) vom: 20. Dez., Seite 231-237 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Rabello, Ligia S C F [VerfasserIn] |
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| Links: |
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| Themen: |
9007-41-4 |
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| Anmerkungen: |
Date Completed 02.07.2018 Date Revised 02.12.2018 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jcrc.2017.07.021 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM274713586 |
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| 245 | 1 | 0 | |a Patterns of C-reactive protein ratio predicts outcomes in healthcare-associated pneumonia in critically ill patients with cancer |
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| 500 | |a Date Revised 02.12.2018 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2017 Elsevier Inc. All rights reserved. | ||
| 520 | |a PURPOSE: Describe the patterns of C-reactive protein relative changes in response to antibiotic therapy in critically ill cancer patients with healthcare-associated pneumonia (HCAP) and its ability to predict outcome | ||
| 520 | |a METHODS: Secondary analysis of a prospective cohort of critically ill cancer patients with HCAP. CRP was sampled every other day from D0 to D6 of antibiotic therapy. Patients were classified according to an individual pattern of CRP-ratio response: fast - CRP at D4 of therapy was <0.4 of D0 CRP; slow - a continuous but slow decrease of CRP; non - CRP remained ≥0.8 of D0 CRP; biphasic - initial CRP decrease to levels <0.8 of the D0 CRP followed by a secondary rise ≥0.8 | ||
| 520 | |a RESULTS: 129 patients were included and septic shock was present in 74% and invasive mechanical ventilation was used in 73%. Intensive care unit (ICU) and hospital mortality rates were 47% and 64%, respectively. By D4, both CRP and CRP-ratio of survivors were significantly lower than in nonsurvivors (p<0.001 and p=0.004, respectively). Both time-dependent analysis of CRP-ratio of the four previously defined patterns (p<0.001) as ICU mortality were consistently different [fast 12.9%, slow 43.2%, biphasic 66.7% and non 71.8% (p<0.001)] | ||
| 520 | |a CONCLUSION: CRP-ratio was useful in the early prediction of poor outcomes in cancer patients with HCAP | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Observational Study | |
| 650 | 4 | |a C-reactive protein | |
| 650 | 4 | |a Cancer | |
| 650 | 4 | |a Healthcare-associated pneumonia | |
| 650 | 4 | |a Intensive care unit | |
| 650 | 4 | |a Outcomes | |
| 650 | 7 | |a Anti-Bacterial Agents |2 NLM | |
| 650 | 7 | |a Biomarkers |2 NLM | |
| 650 | 7 | |a C-Reactive Protein |2 NLM | |
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| 700 | 1 | |a Póvoa, Pedro |e verfasserin |4 aut | |
| 700 | 1 | |a Lapa E Silva, Jose R |e verfasserin |4 aut | |
| 700 | 1 | |a Azevedo, Luciano C P |e verfasserin |4 aut | |
| 700 | 1 | |a da Silva Ramos, Fernando Jose |e verfasserin |4 aut | |
| 700 | 1 | |a Lisboa, Thiago |e verfasserin |4 aut | |
| 700 | 1 | |a Soares, Marcio |e verfasserin |4 aut | |
| 700 | 1 | |a Salluh, Jorge I F |e verfasserin |4 aut | |
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