The prognostic value of procalcitonin and C-reactive protein in critically ill patients: A comparison with APACHE II and SOFA scores

2010 ◽  
Vol 27 ◽  
pp. 179
Author(s):  
T. U. Yanaral ◽  
K. Idin ◽  
S. Uzman ◽  
M. Toptas ◽  
G. Bican
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Prognostic Value ◽  
Apache Ii ◽  
C Reactive Protein ◽  
Reactive Protein

scholarly journals Prognostic Value And Daily Trend Of Interleukin-6, Neutrophil CD64 Expression, C-Reactive Protein And Lipopolysaccharide-Binding Protein In Critically Ill Patients: Reliable Predictors Of Outcome Or Not?

2015 ◽  
Vol 34 (4) ◽  
pp. 431-439 ◽  
Author(s):  
Dragan Djordjevic ◽  
Janko Pejovic ◽  
Maja Surbatovic ◽  
Jasna Jevdjic ◽  
Sonja Radakovic ◽  
...  
Keyword(s):  
Severe Sepsis ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Interleukin 6 ◽  
Prognostic Value ◽  
C Reactive Protein ◽  
Lipopolysaccharide Binding Protein ◽  
Cd64 Expression ◽  
Reactive Protein ◽  
Lipopolysaccharide Binding

SummaryBackground:Severe sepsis and/or trauma complicated by multiple organ dysfunction syndrome are the leading causes of death in critically ill patients. The aim of this prospective single-centre study was to assess the prognostic value and daily trend of interleukin-6 (IL-6), neutrophil CD64 expression, C-reactive protein (CRP) and lipopolysaccharide-binding protein (LBP) regarding outcome in critically ill patients with severe trauma and/or severe sepsis. Outcome measure was hospital mortality.Methods:One hundred and two critically ill patients admitted to the intensive care unit of a tertiary university hospital were enrolled in this prospective study. Blood samples were collected on admission (day 1), days 2 and 3.Results:CD64 index was 1.6-fold higher on day 1 and 1.78-fold higher on day 2 in non-survivors (p<0.05). The area under the curve (AUC) for the CD64 index on day 1 for outcome was 0.727. At a cut-off level of 2.80 sensitivity was 75% and specificity was 65%. Patients with CD64 index level on day 1 higher than 2.80 had 2.4-fold higher probability of dying. Odds ratio is 2.40; 95% CI 0.60–9.67.Conclusions:CD64 index on day 1 is a fairly good predictor of outcome. AUCs for IL-6, CRP and LBP were < 0.55, suggesting these biomarkers failed to predict outcome.

scholarly journals The use of APACHE II, SOFA, SAPS 3, C-reactive protein/albumin ratio, and lactate to predict mortality of surgical critically ill patients

Medicine ◽  
2019 ◽  
Vol 98 (26) ◽  
pp. e16204 ◽  
Author(s):  
Anibal Basile-Filho ◽  
Alessandra Fabiane Lago ◽  
Mayra Gonçalves Menegueti ◽  
Edson Antonio Nicolini ◽  
Lorena Aparecida de Brito Rodrigues ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Apache Ii ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Saps 3 ◽  
Reactive Protein

scholarly journals The C-Reactive Protein/Albumin Ratio as a Predictor of Mortality in Critically Ill Patients

2018 ◽  
Vol 7 (10) ◽  
pp. 333 ◽  
Author(s):  
Ji Park ◽  
Kyung Chung ◽  
Joo Song ◽  
Song Kim ◽  
Eun Kim ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Univariate Analysis ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Proportional Hazard ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Cox Proportional Hazard

The C-reactive protein (CRP)/albumin ratio has recently emerged as a marker for poor prognosis or mortality across various patient groups. This study aimed to identify the association between CRP/albumin ratio and 28-day mortality and predict the accuracy of CRP/albumin ratio for 28-day mortality in medical intensive care unit (ICU) patients. This was a retrospective cohort study of 875 patients. We evaluated the prognostic value of CRP/albumin ratio to predict mortality at 28 days after ICU admission, using Cox proportional hazard model and Kaplan-Meier survival analysis. The 28-day mortality was 28.0%. In the univariate analysis, the Acute Physiology and Chronic Health Evaluation II (APACHE II) score (p < 0.001), CRP level (p = 0.045), albumin level (p < 0.001), and CRP/albumin ratio (p = 0.032) were related to 28-day mortality. The area under the receiver operating characteristic (ROC) curve (the area under the ROC curves (AUC)) of CRP/albumin ratio was higher than that of CRP for mortality (0.594 vs. 0.567, p < 0.001). The cut-off point for CRP/albumin ratio for mortality was 34.3. On Cox proportional-hazard regression analysis, APACHE II score (hazards ratio (HR) = 1.05, 95% confidence interval (CI) = 1.04–1.07, p < 0.001) and CRP/albumin ratio (HR = 1.68, 95% CI = 1.27–2.21, p < 0.001 for high CRP/albumin ratio) were independent predictors of 28-day mortality. Higher CRP/albumin ratio was associated with increased mortality in critically ill patients.

scholarly journals A novel procalcitonin-based score for detecting sepsis among critically ill patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245748
Author(s):  
Tung-Lin Tsui ◽  
Ya-Ting Huang ◽  
Wei-Chih Kan ◽  
Mao-Sheng Huang ◽  
Min-Yu Lai ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Validation Cohort ◽  
Multivariate Logistic Regression Analysis ◽  
Sepsis Group ◽  
C Reactive Protein ◽  
Multivariate Logistic Regression ◽  
Reactive Protein

Background Procalcitonin (PCT) has been widely investigated as an infection biomarker. The study aimed to prove that serum PCT, combining with other relevant variables, has an even better sepsis-detecting ability in critically ill patients. Methods We conducted a retrospective cohort study in a regional teaching hospital enrolling eligible patients admitted to intensive care units (ICU) between July 1, 2016, and December 31, 2016, and followed them until March 31, 2017. The primary outcome measurement was the occurrence of sepsis. We used multivariate logistic regression analysis to determine the independent factors for sepsis and constructed a novel PCT-based score containing these factors. The area under the receiver operating characteristics curve (AUROC) was applied to evaluate sepsis-detecting abilities. Finally, we validated the score using a validation cohort. Results A total of 258 critically ill patients (70.9±16.3 years; 55.4% man) were enrolled in the derivation cohort and further subgrouped into the sepsis group (n = 115) and the non-sepsis group (n = 143). By using the multivariate logistic regression analysis, we disclosed five independent factors for detecting sepsis, namely, “serum PCT level,” “albumin level” and “neutrophil-lymphocyte ratio” at ICU admission, along with “diabetes mellitus,” and “with vasopressor.” We subsequently constructed a PCT-based score containing the five weighted factors. The PCT-based score performed well in detecting sepsis with the cut-points of 8 points (AUROC 0.80; 95% confidence interval (CI) 0.74–0.85; sensitivity 0.70; specificity 0.76), which was better than PCT alone, C-reactive protein and infection probability score. The findings were confirmed using an independent validation cohort (n = 72, 69.2±16.7 years, 62.5% men) (cut-point: 8 points; AUROC, 0.79; 95% CI 0.69–0.90; sensitivity 0.64; specificity 0.87). Conclusions We proposed a novel PCT-based score that performs better in detecting sepsis than serum PCT levels alone, C-reactive protein, and infection probability score.

scholarly journals Duration of antibiotic therapy in critically ill patients: a randomized controlled trial of a C-reactive protein-based protocol versus an evidence-based best practice strategy without biomarkers

2020 ◽  
Author(s):  
Isabela Nascimento Borges ◽  
Rafael Carneiro ◽  
Rafael Bergo ◽  
Larissa Martins ◽  
Enrico Colosimo ◽  
...  
Keyword(s):  
Antibiotic Therapy ◽  
Critically Ill ◽  
Antibiotic Treatment ◽  
Median Duration ◽  
Critically Ill Patients ◽  
Treatment Time ◽  
C Reactive Protein ◽  
Daily Monitoring ◽  
Reactive Protein ◽  
To Receive

Abstract Background: The rational use of antibiotics is one of the main strategies to limit the development of bacterial resistance . We therefore sought to evaluate the effectiveness of a C reactive protein-based protocol in reducing antibiotic treatment time in critically ill patients.Methods: A randomized, open-label, controlled clinical trial conducted in two intensive care units of a university hospital in Brazil. Critically ill infected adult patients were randomly allocated to: i) intervention to receive antibiotics guided by daily monitoring of CRP levels, and ii) control to receive antibiotics according to the best practices for rational use of antibiotics.Results : 130 patients were included in the CRP (n=64) and control (n=66) groups. In the intention to treat analysis, the median duration of antibiotic therapy for the index infectious episode was 7.0 (5.0-8.8) days in the CRP and 7.0 (7.0-11.3) days in the control (p = 0.011) groups. A significant difference in the treatment time between the two groups was identified in the curve of cumulative suspension of antibiotics, with less exposure in the CRP group (p = 0.007). In the per protocol analysis, involving 59 patients in each group, the median duration of antibiotic treatment was 6.0 (5.0-8.0) days for the CRP and 7.0 (7.0- 10.0) days for the control (p = 0.011) groups. Conclusions: Daily monitoring of CRP levels may aid in the reduction of antibiotic treatment time of critically ill patients, even in a scenario of judicious use of antimicrobials. Trial Registry : ClinicalTrials.gov Identifier: NCT02987790. Registered 09 December 2016, https://clinicaltrials.gov/ct2/show/NCT02987790 .

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