1
Ted with mortality in elderly (66.42 ?6.47 vs 36.34 ?12.70, P = 0.000) whereas APACHE 11, MV days, Mean blood Glucose (MBG) were not Conclusions: For the similar APACHE 2 score, elderly patients have greater glycemic variability , which could have contributed to the increased mortality. Amongst the glycemic variability indices tested, GLI was found to be better predictor than MBG.References 1. Sub
1
Ted with mortality in elderly (66.42 ?6.47 vs 36.34 ?12.70, P = 0.000) whereas APACHE 11, MV days, Mean blood Glucose (MBG) were not Conclusions: For the similar APACHE 2 score, elderly patients have greater glycemic variability , which could have contributed to the increased mortality. Amongst the glycemic variability indices tested, GLI was found to be better predictor than MBG.References 1. Sub
1
Ted with mortality in elderly (66.42 ?6.47 vs 36.34 ?12.70, P = 0.000) whereas APACHE 11, MV days, Mean blood Glucose (MBG) were not Conclusions: For the similar APACHE 2 score, elderly patients have greater glycemic variability , which could have contributed to the increased mortality. Amongst the glycemic variability indices tested, GLI was found to be better predictor than MBG.References 1. Sub
1
Ted with mortality in elderly (66.42 ?6.47 vs 36.34 ?12.70, P = 0.000) whereas APACHE 11, MV days, Mean blood Glucose (MBG) were not Conclusions: For the similar APACHE 2 score, elderly patients have greater glycemic variability , which could have contributed to the increased mortality. Amongst the glycemic variability indices tested, GLI was found to be better predictor than MBG.References 1. Sub
1
Ted with mortality in elderly (66.42 ?6.47 vs 36.34 ?12.70, P = 0.000) whereas APACHE 11, MV days, Mean blood Glucose (MBG) were not Conclusions: For the similar APACHE 2 score, elderly patients have greater glycemic variability , which could have contributed to the increased mortality. Amongst the glycemic variability indices tested, GLI was found to be better predictor than MBG.References 1. Sub
1
Romogenic substrate (S-2302), specific for PK and FXIIa, was used to measure contact activation. Both strains exhibited PK/FXIIa activity on their surfaces (Fig. 1A). Interestingly, compared to the wild types, knockout of the M protein in these strains did not change PK/FXIIa activity significantly (Fig. 1A), suggesting that activation of contact system factors occurs independently of the M protei
1
Romogenic substrate (S-2302), specific for PK and FXIIa, was used to measure contact activation. Both strains exhibited PK/FXIIa activity on their surfaces (Fig. 1A). Interestingly, compared to the wild types, knockout of the M protein in these strains did not change PK/FXIIa activity significantly (Fig. 1A), suggesting that activation of contact system factors occurs independently of the M protei
1
Romogenic substrate (S-2302), specific for PK and FXIIa, was used to measure contact activation. Both strains exhibited PK/FXIIa activity on their surfaces (Fig. 1A). Interestingly, compared to the wild types, knockout of the M protein in these strains did not change PK/FXIIa activity significantly (Fig. 1A), suggesting that activation of contact system factors occurs independently of the M protei
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