Literature DB >> 27160116

The predictive effect of initial complete blood count of intensive care unit patients on mortality, length of hospitalization, and nosocomial infections.

L Kutlucan1, A Kutlucan, B Basaran, M Dagli, A Basturk, B Kozanhan, M Gur, E Senocak, M Kos.   

Abstract

OBJECTIVE: The mean platelet volume (MPV) can be used as an indicator of platelet activation. However, it has been shown that the platelet/lymphocyte ratio (PLR) can provide useful predictive information about inflammation and aggregation pathways. The neutrophil/lymphocyte ratio (NLR) may also be helpful as a marker of systemic or local inflammation. The main objective of this study evaluated to unselected critically ill patients the relationship of initial MPV, NLR, and PLR with mortality, length of hospitalization, and the risk of developing nosocomial infections in ICU patients. PATIENTS AND METHODS: In this retrospective study, we evaluated consecutive patients at our tertiary nine-bed ICU. One hundred seventy-three patients who were followed up during a 1-year period were included.
RESULTS: MPV levels were found to be higher in patients who died in the hospital (p = 0.05). In addition, there was a significant positive correlation between expected mortality rate and MPV among non-survivors (p = 0.009). NLR levels were higher among non-survivors, but this difference was not statistically significant (p = 0.435). PLR levels were similar between non-survivors and survivors (p = 0.173). The initial NLR and PLR were significantly higher in patients with nosocomial infections. NLR and PLR had a significant positive correlation with length of hospitalization (p = 0.006 and p = 0.027, respectively).
CONCLUSIONS: In our study, we found that high PLR and NLR may be indicators for the development of nosocomial infections. Moreover, the length of hospitalization may be prolonged in patients with high PLR and NLR.

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Year:  2016        PMID: 27160116

Source DB:  PubMed          Journal:  Eur Rev Med Pharmacol Sci        ISSN: 1128-3602            Impact factor:   3.507


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