scholarly journals First day dynamic changes in antithrombin III activity after supplementation have a predictive value in critically ill patients

2006 ◽  
Vol 81 (12) ◽  
pp. 907-914 ◽  
Author(s):  
Satoshi Gando ◽  
Atsushi Sawamura ◽  
Mineji Hayakawa ◽  
Hirokatsu Hoshino ◽  
Nobuhiko Kubota ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Predictive Value ◽  
Antithrombin Iii ◽  
Dynamic Changes ◽  
Antithrombin Iii Activity

scholarly journals Procalcitonin Clearance for Early Prediction of Survival in Critically Ill Patients with Severe Sepsis

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Mohd Basri Mat Nor ◽  
Azrina Md Ralib
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Prospective Observational Study ◽  
Small Sample Size ◽  
Small Sample ◽  
Sepsis Group ◽  
Single Centre ◽  
Dynamic Changes ◽  
Prediction Of Survival ◽  
Single Centre Study

Introduction. Serum procalcitonin (PCT) diagnosed sepsis in critically ill patients; however, its prediction for survival is not well established. We evaluated the prognostic value of dynamic changes of PCT in sepsis patients.Methods. A prospective observational study was conducted in adult ICU. Patients with systemic inflammatory response syndrome (SIRS) were recruited. Daily PCT were measured for 3 days. 48 h PCT clearance (PCTc-48) was defined as percentage of baseline PCT minus 48 h PCT over baseline PCT.Results. 95 SIRS patients were enrolled (67 sepsis and 28 noninfectious SIRS). 40% patients in the sepsis group died in hospital. Day 1-PCT was associated with diagnosis of sepsis (AUC 0.65 (95% CI, 0.55 to 0.76)) but was not predictive of mortality. In sepsis patients, PCTc-48 was associated with prediction of survival (AUC 0.69 (95% CI, 0.53 to 0.84)). Patients with PCTc-48 > 30% were independently associated with survival (HR 2.90 (95% CI 1.22 to 6.90)).Conclusions. PCTc-48 is associated with prediction of survival in critically ill patients with sepsis. This could assist clinicians in risk stratification; however, the small sample size, and a single-centre study, may limit the generalisability of the finding. This would benefit from replication in future multicentre study.

scholarly journals Dynamic Changes of the Neutrophil-to-Lymphocyte Ratio, Systemic Inflammation Index, and Derived Neutrophil-to-Lymphocyte Ratio Independently Predict Invasive Mechanical Ventilation Need and Death in Critically Ill COVID-19 Patients

Biomedicines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1656
Author(s):  
Emanuel Moisa ◽  
Dan Corneci ◽  
Silvius Negoita ◽  
Cristina Raluca Filimon ◽  
Andreea Serbu ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Critically Ill ◽  
Systemic Inflammation ◽  
Predictive Value ◽  
Cox Regression ◽  
Invasive Mechanical Ventilation ◽  
Neutrophil To Lymphocyte Ratio ◽  
Dynamic Changes ◽  
Hematological Indices ◽  
Lymphocyte Ratio

Background: Hematological indices can predict disease severity, progression, and death in patients with coronavirus disease-19 (COVID-19). Objectives: To study the predictive value of the dynamic changes (first 48 h after ICU admission) of the following ratios: neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), monocyte-to-lymphocyte (MLR), systemic inflammation index (SII), and derived neutrophil-to-lymphocyte (dNLR) for invasive mechanical ventilation (IMV) need and death in critically ill COVID-19 patients. Methods: Observational, retrospective, and multicentric analysis on 272 patients with severe or critical COVID-19 from two tertiary centers. Hematological indices were adjusted for confounders through multivariate analysis using Cox regression. Results: Patients comprised 186 males and 86 females with no difference across groups (p > 0.05). ΔNLR > 2 had the best independent predictive value for IMV need (HR = 5.05 (95% CI, 3.06–8.33, p < 0.0001)), followed by ΔSII > 340 (HR = 3.56, 95% CI 2.21–5.74, p < 0.0001) and ΔdNLR > 1 (HR = 2.61, 95% CI 1.7–4.01, p < 0.0001). Death was also best predicted by an NLR > 11 (HR = 2.25, 95% CI: 1.31–3.86, p = 0.003) followed by dNLR > 6.93 (HR = 1.89, 95% CI: 1.2–2.98, p = 0.005) and SII > 3700 (HR = 1.68, 95% CI: 1.13–2.49, p = 0.01). Conclusions: Dynamic changes of NLR, SII, and dNLR independently predict IMV need and death in critically ill COVID-19 patients.

Predictive value of low interleukin-33 in critically ill patients

Cytokine ◽  
2018 ◽  
Vol 103 ◽  
pp. 109-113 ◽  
Author(s):  
Konstantin A. Krychtiuk ◽  
Stefan Stojkovic ◽  
Max Lenz ◽  
Mira Brekalo ◽  
Kurt Huber ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Predictive Value ◽  
Interleukin 33
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