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

scholarly journals 3217 Catatonia, Delirium and Coma: Implications for Mortality

2019 ◽  
Vol 3 (s1) ◽  
pp. 37-37
Author(s):  
Jo Ellen Wilson ◽  
Sarasota Mihalko ◽  
Stephan Heckers ◽  
Pratik P. Pandharipande ◽  
Timothy D. Girard ◽  
...  
Keyword(s):  
Survival Time ◽  
Critically Ill ◽  
Median Survival ◽  
Critically Ill Patients ◽  
Median Survival Time ◽  
Rating Scale ◽  
Brain Dysfunction ◽  
Survival Times ◽  
Dsm 5 ◽  
Acute Brain Dysfunction

OBJECTIVES/SPECIFIC AIMS: Delirium, a form of acute brain dysfunction, characterized by changes in attention and alertness, is a known independent predictor of mortality in the Intensive Care Unit (ICU). We sought to understand whether catatonia, a more recently recognized form of acute brain dysfunction, is associated with increased 30-day mortality in critically ill older adults. METHODS/STUDY POPULATION: We prospectively enrolled critically ill patients at a single institution who were on a ventilator or in shock and evaluated them daily for delirium using the Confusion Assessment for the ICU and for catatonia using the Bush Francis Catatonia Rating Scale. Coma, was defined as a Richmond Agitation Scale score of −4 or −5. We used the Cox Proportional Hazards model predicting 30-day mortality after adjusting for delirium, coma and catatonia status. RESULTS/ANTICIPATED RESULTS: We enrolled 335 medical, surgical or trauma critically ill patients with 1103 matched delirium and catatonia assessments. Median age was 58 years (IQR: 48 - 67). Main indications for admission to the ICU included: airway disease or protection (32%; N=100) or sepsis and/or shock (25%; N=79. In the unadjusted analysis, regardless of the presence of catatonia, non-delirious individuals have the highest median survival times, while delirious patients have the lowest median survival time. Comparing the absence and presence of catatonia, the presence of catatonia worsens survival (Figure 1). In a time-dependent Cox model, comparing non-delirious individuals, holding catatonia status constant, delirious individuals have 1.72 times the hazards of death (IQR: 1.321, 2.231) while those with coma have 5.48 times the hazards of death (IQR: 4.298, 6.984). For DSM-5 catatonia scores, a 1-unit increase in the score is associated with 1.18 times the hazards of in-hospital mortality. Comparing two individuals with the same delirium status, an individual with a DSM-5 catatonia score of 0 (no catatonia) will have 1.178 times the hazard of death (IQR: 1.086, 1.278), while an individual with a score of 3 catatonia items (catatonia) present will have 1.63 times the hazard of death. DISCUSSION/SIGNIFICANCE OF IMPACT: Non-delirious individuals have the highest median survival times, while those who are comatose have the lowest median survival times after a critical illness, holding catatonia status constant. Comparing the absence and presence of catatonia, the presence of catatonia seems to worsen survival. Those individual who are both comatose and catatonic have the lowest median survival time.

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.

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