Glutamine Dipeptide and Insulin Sensitivity in Critically Ill Patients

2014 ◽  
pp. 195-205
Author(s):  
Teodoro Grau-Carmona ◽  
Carol Lorencio Cárdenas
2017 ◽  
Vol 32 ◽  
pp. 112-123
Author(s):  
Fatanah M. Suhaimi ◽  
J. Geoffrey Chase ◽  
Christopher G. Pretty ◽  
Geoffrey M. Shaw ◽  
Normy N. Razak ◽  
...  

2012 ◽  
Vol 45 (18) ◽  
pp. 349-354
Author(s):  
Ummu K. Jamaludin ◽  
Paul D. Docherty ◽  
J. Geoffrey Chase ◽  
Aaron Le Compte ◽  
Geoffrey M. Shaw

2020 ◽  
Vol 9 (0) ◽  
pp. 43-52 ◽  
Author(s):  
Sha Wu ◽  
Eiko Furutani ◽  
Tomonori Sugawara ◽  
Takehiko Asaga ◽  
Gotaro Shirakami

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Wan Fadzlina Wan Muhd Shukeri ◽  
Azrina Md. Ralib ◽  
Ummu Khultum Jamaludin ◽  
Mohd Basri Mat-Nor

Introduction: Currently, it is almost impossible to diagnose a patient at the onset of sepsis due to the lack of real-time metrics with high sensitivity and specificity. The purpose of the present study is to determine the diagnostic value of model-based insulin sensitivity (SI) as a new sepsis biomarker in critically ill patients, and compare its performance to classical inflammatory parameters. Materials and method: We monitored hourly SI levels in septic (n=19) and non-septic (n=19) critically ill patients in a 24-hour follow-up study. Patients with type I or type II diabetes mellitus were excluded. SI levels were calculated by a validated glycemic control software, STAR TGC (Stochastic TARgeted Tight Glycemic Controller) (Christchurch, NZ). STAR TGC uses a physiological glucose-insulin system model coupled with stochastic models that capture SI variability in real time. Results: The median SI levels were lower in the sepsis group than in the non-sepsis group (1.9 x 10-4 L/mU/min vs 3.7 x 10-4 L/mU/min, P <0.0001). The areas under the receiver operating characteristic curve (AUROC) of the model-based SI for distinguishing non-sepsis from sepsis was 0.911, superior to white cells count (AUROC 0.611) and temperature (AUROC 0.618). The optimal cut-off value of the test was 2.9 x 10-4 L/mU/min. At this cut-off value, the sensitivity and specificity was 88.9% and 84.2%, respectively. The positive predictive value was 84.2%, while the negative predictive value was 88.9%. Conclusion: The early and relevant decrease of SI in sepsis suggests that it might be a promising novel biomarker of sepsis in critical care. Low SI is diagnostic of sepsis, while high SI rules out sepsis, and these may be determined non-invasively in real-time from glycemic control protocol data.


2018 ◽  
Vol 39 ◽  
pp. 327-335 ◽  
Author(s):  
Ruby Langdon ◽  
Paul D. Docherty ◽  
Erin J. Mansell ◽  
J. Geoffrey Chase

2011 ◽  
Vol 39 (6) ◽  
pp. 1263-1268 ◽  
Author(s):  
Teodoro Grau ◽  
Alfonso Bonet ◽  
Eduardo Miñambres ◽  
Laura Piñeiro ◽  
José Antonio Irles ◽  
...  

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