Oronary artery calcium screening in subjects with and without diabetes. J Am Coll Cardiol 2004, 43:1663?669. Anand DV, Lim E, Hopkins D, Corder R, Ahaw LJ, Sharp P, Lipkin D, Lahiri A: Risk stratification in uncomplicated type 2 diabetes: prospective evaluation of the combined use of coronary artery calcium imaging and selective myocardial perfusion scintigraphy. Eur Heart J 2006, 27:713?21.doi:10
Ria (mg/24h), mean ?sd Glomerular filtration rate (mL/min/1,73m2), mean ?sd Waist circunference (cm), mean ?sd Current smoking, n ( )Legend: p ?significance level.At CT 21.0 ?11.6 158 ?18 4.5 ?1.3 2.7 ?1.1 0.7 ?0.5 1.4 ?1.3 7.8 ?1.7 61.2 ?132.4 98.4 ?25.7 104 ?9 8 (9.4 )At follow-up 20.8 ?9.60 145 ?21 4.4 ?1.1 2.4 ?0.9 0.8 ?0.4 1.2 ?0.4 7.2 ?1.5 41.8 ?97.5 80 ?26.1 106 ?10 5 (5.9 )p ns
Of CS to identify cardiovascular events was 86.6, with 80 sensitivity (vs. 20 for CS 86.6, p
Level (p) are shown. Legend: GFR - Glomerular Filtration Rate. Presented parameters are related to initial assessment and data obtained by Computed tomography.were initiated on statins, which was a significant change (p = 0.041). Treatment with an antiplatelet agent, a statin or percutaneous revascularisation was started in 17.6 of patients following CT, which was also a significant change (p = 0
Level (p) are shown. Legend: GFR - Glomerular Filtration Rate. Presented parameters are related to initial assessment and data obtained by Computed tomography.were initiated on statins, which was a significant change (p = 0.041). Treatment with an antiplatelet agent, a statin or percutaneous revascularisation was started in 17.6 of patients following CT, which was also a significant change (p = 0
Han 86.6 (vs. 86.6) and obstructive CAD is presented in Figure 1. Different prediction models were created based on clinical and CT predictors of cardiovascular events. ROC curve analysis for the isolated parameters andTable 8 Predictors of cardiovascular events by Cox regression analysisPredictors of CVEV: Cox regression Age Glomerular filtration rate Absence of obstructive coronary artery diseas
Han 86.6 (vs. 86.6) and obstructive CAD is presented in Figure 1. Different prediction models were created based on clinical and CT predictors of cardiovascular events. ROC curve analysis for the isolated parameters andTable 8 Predictors of cardiovascular events by Cox regression analysisPredictors of CVEV: Cox regression Age Glomerular filtration rate Absence of obstructive coronary artery diseas
Cific 1 (EC 2.7.1.30) R.WLLDNVR.K Glycine dehydrogenase [decarboxylating], mitochondrial P.RVNPLKMSPHSL.T Glycogen [starch] synthase, muscle (EC 2.4.1.11) T.KAKVTGDEWGDNYF.L Glycogen phosphorylase, brain form (EC 2.4.1.1) F.YELEPEKFQ.N D.LQIPPPNIPR.DP06737 Q96J90 Q8NFP4 O60551 P41250 Q14789 Q14789 Q08378 Q96S52 Q14444 Q96S75 Q9H2Q8 O60383 Q9C056 Q9UL65 O15068 P50151 Q14663 P00737 P00737 1 1 1 2 3