scholarly journals Anaerobic Metabolism Markers as a Guide of Resuscitation Effort and Mortality Benefit in Septic Shock Among Egyptian Population

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Walid Mohamed Kamel Ahmed ◽  
Ramy Mohamed El Sayed Ibrahim Kishk ◽  
Dalia Mohamed Ragab ◽  
Mohamed Ibrahim Desouky
2021 ◽  
Vol 8 (1) ◽  
pp. 34-38
Author(s):  
Subroto Kumar Sarker ◽  
Umme Kulsum Choudhury ◽  
Mohammad Mohsin ◽  
Subrata Kumar Mondal ◽  
Muslema Begum

Background: Detection of anaerobic metabolism is very crucial for the management of the septic patients. Objective: The purpose of the present study was to validate the ratio between differences of central venous to arterial CO2 and arterial to central venous O2 content in diagnosis of anaerobic metabolism among septic patients. Methodology: This prospective observational study was conducted in the Intensive Care Unit of the department of Anaesthesia Analgesia, Palliative and Intensive Care Medicine at Dhaka Medical College Hospital, Dhaka, Bangladesh from January 2016 to December 2016. All patients admitted to ICU with the features of severe sepsis and septic shock according to SSC guidelines with the age of more than or equal to 18 years in both sexes were included in this study. The arterial and central venous blood gases were measure simultaneously. At the same time serum lactate was measured. Result: Among the 69 patients, 31(44.9%) were of severe sepsis and 38(55%) were of septic shock patients. In the severe sepsis and septic shock patients the mean P(v-a)CO2/C(a-v)O2 is 1.39±0.41 and 1.11±0.40 respectively. Serum lactate in case of severe sepsis and septic shock patients is 2.85±1.40 and 3.85±1.04 respectively. The ROC analysis showed an area under curve 0.89 and P(v-a)CO2/C(a-v)O2 ratio cutoff value of 1.21 showed sensitivity 0.84 and specificity 0.94. Conclusion: The P(v-a)CO2/C(a-v)O2  ratio is also a another marker of global anaerobic metabolism and it would be used for diagnosis as well as management of septic patient.  Journal of Current and Advance Medical Research, January 2021;8(1):34-38


2020 ◽  
Vol 49 (1) ◽  
pp. 641-641
Author(s):  
David Gordon ◽  
Caleb Chan ◽  
Quincy Tran ◽  
Vera Bzhilyanskaya ◽  
Alexander Bracey ◽  
...  

CHEST Journal ◽  
2019 ◽  
Vol 156 (4) ◽  
pp. A1645-A1646
Author(s):  
Elyana Matayeva ◽  
Theresa Henson ◽  
Nashreen Anderson ◽  
Donald Brown ◽  
Raghavendra Sanivarapu ◽  
...  

2021 ◽  
Author(s):  
Michael A. Puskarich ◽  
Theodore S. Jennaro ◽  
Christopher E. Gillies ◽  
Charles R. Evans ◽  
Alla Karnovsky ◽  
...  

AbstractBackgroundSepsis-induced metabolic dysfunction contributes to organ failure and death. L-carnitine has shown promise for septic shock, but a recent study demonstrated a non-significant reduction in mortality.MethodsA pharmacometabolomics study of patients (n=250) in a Phase II trial of L-carnitine to identify metabolic profiles predictive of a 90-day mortality benefit from L-carnitine. The independent predictive value of each pre-treatment metabolite concentration, adjusted for L-carnitine dose, on 90-day mortality was determined by logistic regression. A grid-search analysis maximizing the Z-statistic from a binomial proportion test identified specific metabolite threshold levels that discriminated L-carnitine responsive patients. Threshold concentrations were further assessed by hazard-ratio and Kaplan-Meier estimate.FindingsAccounting for L-carnitine treatment and dose, 11 1H-NMR metabolites and 12 acylcarnitines were independent predictors of 90-day mortality. Based on the grid-search analysis numerous acylcarnitines and valine were identified as candidate metabolites of drug response. Acetylcarnitine emerged as highly viable for the prediction of an L-carnitine mortality benefit due to its abundance and biological relevance. Using its most statistically significant threshold concentration, patients with acetylcarnitine ≥35µM were less likely to die at 90 days if treated with L-carnitine (18 g) versus placebo (p=0.01 by log rank test).InterpretationMetabolomics identified independent predictors of 90-day sepsis mortality. Our proof-of-concept approach shows how pharmacometabolomics may be useful for tackling the heterogeneity of sepsis and informing clinical trial design. Also, metabolomics can help understand mechanisms of sepsis heterogeneity and variable drug response, since sepsis induces alterations in numerous metabolite concentrations.


2018 ◽  
Vol 19 (2) ◽  
pp. 225-229 ◽  
Author(s):  
James Vogler ◽  
Leslie Hart ◽  
Sharon Holmes ◽  
Jason D. Sciarretta ◽  
John Mihran Davis

Author(s):  
Michael A. Puskarich ◽  
Theodore S. Jennaro ◽  
Christopher E. Gillies ◽  
Charles R. Evans ◽  
Alla Karnovsky ◽  
...  

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