scholarly journals Patterns of c-reactive protein predicts response to therapy in healthcare-associated pneumonia in critically ill patients with cancer

2015 ◽  
Vol 3 (S1) ◽  
Author(s):  
L Sarmet Cunha Farah Rabello ◽  
T Lisboo ◽  
L Azevedo ◽  
JR Lapa e Silva ◽  
M Soares ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Response To Therapy ◽  
C Reactive Protein ◽  
Patients With Cancer ◽  
Reactive Protein ◽  
Healthcare Associated

Patterns of C-reactive protein ratio predicts outcomes in healthcare-associated pneumonia in critically ill patients with cancer

2017 ◽  
Vol 42 ◽  
pp. 231-237 ◽  
Author(s):  
Ligia S.C.F. Rabello ◽  
Pedro Póvoa ◽  
Jose R. Lapa e Silva ◽  
Luciano C.P. Azevedo ◽  
Fernando Jose da Silva Ramos ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
C Reactive Protein ◽  
Protein Ratio ◽  
Patients With Cancer ◽  
Reactive Protein ◽  
Healthcare Associated

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 .

The role of IL-6 receptor inhibitor treatment in critical patient monitoring with COVID-19

2021 ◽  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Lactate Dehydrogenase ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Group 2 ◽  
D Dimer

Objectives: The COVID-19 disease can manifest itself with acute respiratory distress syndrome, renal failure, and septic shock in critically ill patients. There are opinions that there is a correlation between high IL-6 levels and disease severity. In our intensive care unit, we evaluated the changes in the laboratory data and radiological involvement severity of our patients who underwent tocilizumab treatment and examined the appropriate laboratory parameter in the treatment follow-up and its effect on survival. Methods: In the critical patient follow-up of COVID-19, 17 of the 23 patients treated with tocilizumab had a mortal course (Group 1) and the remaining 6 (Group 2) were. The C-reactive protein, lactate dehydrogenase, IL-6, D-dimer, procalcitonin, albumin, and ferritin values, which were routinely screened in our clinic on the day of tocilizumab treatment and the 5th day after, were recorded. Both the change between the two groups and the change between days 1 and 5 were analyzed. Results: A total of 23 patients (55.35 ± 13.31 years) were included in the study. The computed tomography severity score assessed at the intensive care unit admission was statistically significantly higher in Group 2. The procalcitonin and lactate dehydrogenase values measured on day 5 after tocilizumab were significantly lower in Group 2. On the 5th day after treatment, the levels of C-reactive protein, ferritin, chest X-rays, IL-6 and D-dimer statistically significantly changed compared to the first day of the treatment. In correlation with the decrease in PCT as of the 5th day after tocilizumab administration, an increasing tendency was observed in 28-day survival. Conclusion: This study demonstrated that tocilizumab treatment may positively contribute to the treatment by decreasing cytokine levels. PCT and LDH follow-up before and after treatment in critically ill patients who are receiving tocilizumab treatment can give an idea about survival.

scholarly journals A Comparison of Eosinopenia and C-Reactive Protein as a Marker of Bloodstream Infections in Critically Ill Patients: A Case Control Study

2009 ◽  
Vol 37 (3) ◽  
pp. 450-456 ◽  
Author(s):  
K. M. Ho ◽  
S. C. Towler
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Bloodstream Infections ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Receiver Operating

Diagnosis of bloodstream infections in critically ill patients is difficult. This case control study involved a total of 22 patients with confirmed bloodstream infections and 44 concurrent controls from an intensive care unit in Western Australia. We aimed to assess whether eosinopenia and C-reactive protein are useful markers of bloodstream infections in critically ill patients. The patients with bloodstream infections had a more severe disease and a longer length of intensive care unit (10.7 vs 4.0 days, P=0.001) and hospital stay (40.9 vs 17.9 days, P=0.015) than the controls. Univariate analyses showed that C-reactive protein (area under the receiver operating characteristic curve 0.847, 95% confidence internal (CI) 0.721 to 0.973), eosinophil counts (area under the receiver operating characteristic curve 0.849, 95% CI 0.738 to 0.961) and fibrinogen concentrations (area under the receiver operating characteristic curve 0.730, 95% CI 0.578 to 0.882) were significant markers of bloodstream infections. C-reactive protein concentration was, however, the only significant predictor in the multivariate analysis (odds ratio 1.21 per 10 mgH increment, 95% CI 1.01 to 1.39, P=0.007). C-reactive protein concentration appears to be a better marker of bloodstream infections than eosinopenia in critically ill patients. A large prospective cohort study is needed to assess whether eosinopenia is useful in addition to C-reactive protein concentrations as a marker of bloodstream infections.

scholarly journals Procalcitonin and C-reactive protein levels at admission as predictors of duration of acute brain dysfunction in critically ill patients

Critical Care ◽  
2011 ◽  
Vol 15 (2) ◽  
pp. R78 ◽  
Author(s):  
Stuart McGrane ◽  
Timothy D Girard ◽  
Jennifer L Thompson ◽  
Ayumi K Shintani ◽  
Alison Woodworth ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Brain Dysfunction ◽  
C Reactive Protein ◽  
Protein Levels ◽  
Reactive Protein ◽  
Acute Brain Dysfunction
Sign in / Sign up

Export Citation Format

Share Document