Key points are not available for this paper at this time.
INTRODUCTION: Residual inflammation at ICU discharge may have impact upon long-term mortality. However, the significance of ongoing inflammation on mortality after ICU discharge is poorly described. C-reactive protein (CRP) and albumin are measured frequently in the ICU and exhibit opposing patterns during inflammation. Since infection is a potent trigger of inflammation, we hypothesized that CRP levels at discharge would correlate with long-term mortality in septic patients and that the CRP/albumin ratio would be a better marker of prognosis than CRP alone. METHODS: We evaluated 334 patients admitted to the ICU as a result of severe sepsis or septic shock who were discharged alive after a minimum of 72 hours in the ICU. We evaluated the performance of both CRP and CRP/albumin to predict mortality at 90 days after ICU discharge. Two multivariate logistic models were generated based on measurements at discharge: one model included CRP (Model-CRP), and the other included the CRP/albumin ratio (Model-CRP/albumin). RESULTS: There were 229 (67%) and 111 (33%) patients with severe sepsis and septic shock, respectively. During the 90 days of follow-up, 73 (22%) patients died. CRP/albumin ratios at admission and at discharge were associated with a poor outcome and showed greater accuracy than CRP alone at these time points (p = 0.0455 and p = 0.0438, respectively). CRP levels and the CRP/albumin ratio were independent predictors of mortality at 90 days (Model-CRP: adjusted OR 2.34, 95% CI 1.14-4.83, p = 0.021; Model-CRP/albumin: adjusted OR 2.18, 95% CI 1.10-4.67, p = 0.035). Both models showed similar accuracy (p = 0.2483). However, Model-CRP was not calibrated. CONCLUSIONS: Residual inflammation at ICU discharge assessed using the CRP/albumin ratio is an independent risk factor for mortality at 90 days in septic patients. The use of the CRP/albumin ratio as a long-term marker of prognosis provides more consistent results than standard CRP values alone.
Building similarity graph...
Analyzing shared references across papers
Loading...
Otávio T. Ranzani
Fernando G. Zampieri
Daniel Neves Forte
PLoS ONE
SHILAP Revista de lepidopterología
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
Hospital Sírio-Libanês
Hospital Alemão Oswaldo Cruz
Building similarity graph...
Analyzing shared references across papers
Loading...
Ranzani et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69f73a66b7a0d5f07bc16439 — DOI: https://doi.org/10.1371/journal.pone.0059321