High-dose selenium reduces ventilator-associated pneumonia and illness severity in critically ill patients with systemic inflammation

2011 ◽  
Vol 37 (7) ◽  
pp. 1120-1127 ◽  
Author(s):  
William Manzanares ◽  
Alberto Biestro ◽  
María H. Torre ◽  
Federico Galusso ◽  
Gianella Facchin ◽  
...  
Nutrition ◽  
2010 ◽  
Vol 26 (6) ◽  
pp. 634-640 ◽  
Author(s):  
William Manzanares ◽  
Alberto Biestro ◽  
Federico Galusso ◽  
María H. Torre ◽  
Nelly Mañáy ◽  
...  

2018 ◽  
Vol 44 ◽  
pp. 357-362 ◽  
Author(s):  
Ata Mahmoodpoor ◽  
Hadi Hamishehkar ◽  
Sarvin Sanaie ◽  
Nazila Behruzizad ◽  
Afshin Iranpour ◽  
...  

2009 ◽  
Vol 53 (4) ◽  
pp. 1476-1481 ◽  
Author(s):  
Anthony M. Nicasio ◽  
Robert E. Ariano ◽  
Sheryl A. Zelenitsky ◽  
Aryun Kim ◽  
Jared L. Crandon ◽  
...  

ABSTRACT A population pharmacokinetic model of cefepime was constructed from data from adult critical care patients with ventilator-associated pneumonia (VAP). A total of 32 patients treated with high-dose cefepime, 2 g every 8 h (3-h infusion) or a renal function-adjusted equivalent dose, were randomized into two groups—26 for the initial model and 6 for model validation. Serum samples of cefepime were collected at steady state. Nonparametric adaptive grid population modeling was employed using a two-compartment K slope pharmacokinetic model relating the elimination rate constant (K 10) to renal function, as defined by creatinine clearance (CLCR), and central distribution volume (V 1) to total body weight (TBW). The final model was described by the following equations: K 10 = 0.0027 × CLCR + 0.071 h−1 and V 1 = TBW × 0.21 liter/kg. The median intercompartmental transfer constants K 12 and K 21 were 0.780 h−1 and 0.472 h−1, respectively. Using these median parameter estimates, the bias, precision, and coefficient of determination for the initial model were 11.3 μg/ml, 24.0 μg/ml, and 26%, respectively. The independent validation group displayed a bias, precision, and coefficient of determination of −1.64 μg/ml, 17.1 μg/ml, and 62%, respectively. Time-concentration profiles were assessed for various dosing regimens, using 5,000-patient Monte Carlo simulations. Among the regimens, the likelihoods of 2 g every 8 h (3-h infusion) achieving free drug concentrations above the MIC for 50% of the dosing interval were 91.8%, 78.1%, and 50.3% for MICs of 8, 16, and 32 μg/ml, respectively. This study provides a pharmacokinetic model capable of predicting cefepime concentrations in critically ill patients with VAP.


2015 ◽  
Vol 37 (5) ◽  
pp. 1967-1972 ◽  
Author(s):  
Bo Li ◽  
Xin Zhao ◽  
Shumei Li

Background/Aims: The prognostic role of serum procalcitonin level in critically ill patients with ventilator-associated pneumonia was unclear. The aim of our study was to investigate the relationship between serum procalcitonin level and mortality risk in critically ill patients with ventilator-associated pneumonia. Methods: Data of critically ill patients with ventilator-associated pneumonia were retrospectively collected. Demographics, comorbidities, and serum procalcitonin level were extracted from electronic medical records. The primary outcome was mortality within two months after diagnosis. Multivariable Cox regression analyses were performed to assess the prognostic role of serum procalcitonin level in those patients. Results: A total of 115 critically ill patients with ventilator-associated pneumonia were enrolled in our study. Serum procalcitonin level was not associated with age, gender, or other comorbidities. Univariate Cox regression model showed that high serum procalcitonin level was associated increased risk of morality within 2 months after diagnosis (OR = 2.32, 95% CI 1.25-4.31, P = 0.008). Multivariable Cox regression model showed that high serum procalcitonin level was independently associated increased risk of morality within 2 months after diagnosis (OR = 2.38, 95% CI 1.26-4.50, P = 0.008). Conclusion: High serum procalcitonin level is an independent prognostic biomarker of mortality risk in critically ill patients with ventilator-associated pneumonia, and it's a promising biomarker of prognosis in critically ill patients.


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