Procedural success rate, STR, corrected TIMI flame count, and area under the curve of CK-MB and cTnI measurements after the procedure
were similar between patients with high collateralization and those with low collateralization (for all comparisons P>0.05). There were no differences in left ventricular ejection fraction and rates of MACE at 6 months according to baseline angiographic collaterals to occluded IRA.\n\nConclusions In patients with acute STEMI undergoing primary PCI within 12 hours of symptom-onset, coronary collateralization to the occluded IRA was influenced by clinical and angiographic features. Early recruitment of collaterals limits infarct size at baseline, but has no significant impact on myocardial reperfusion after the procedure and subsequent left ventricular function and clinical outcomes.”
“Background & aims: Low handgrip strength by dynamometry is associated with increased postoperative GW786034 clinical trial morbidity, PLX4032 higher mortality and reduced quality of life. The aim of this study was to evaluate the accuracy of four algorithms in diagnosing malnutrition by measuring handgrip strength.\n\nMethods: We included 504 consecutive preoperative outpatients. Reference standard for malnutrition was defined based on percentage involuntary weight loss and BMI. Diagnostic characteristics of the handgrip strength algorithms (Alvares-da-Silva, Klidjian, Matos,
Webb) were expressed by sensitivity, specificity, positive and negative predictive value, false positive and negative rate.\n\nResults: The prevalence of malnutrition was 5.8%. Although Klidjian showed the highest sensitivity (79%, 95% Cl 62%-90%), 6 out of 29 malnourished patients were falsely identified Vorinostat datasheet as well-nourished (false positive rate 21%, 95% Cl 9%-38%). In contrast, this algorithm showed the lowest positive predictive value (8%, 95% Cl 5%-13%). Matos presented the highest positive predictive value; the post-test probability increased to 13% (95% Cl 8%-20%). The 1-minus negative predictive value ranged between 3% and 5% for all algorithms.\n\nConclusions: None of the algorithms derived from handgrip strength
measurements was found to have a diagnostic accuracy good enough to introduce handgrip strength as a systematic institutional screening tool to detect malnutrition in individual adult preoperative elective outpatients. (C) 2012 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.”
“We present time domain 3-D wake field calculations based on Scattered-field Time Domain Boundary Element Method (S-TDBEM), which is retarded Kirchhoff’s boundary integral equations of scattered electromagnetic fields formulated on interior region problem and has no numerical dispersion in all spatial direction. We propose two main types of S-TDBEM schemes: full 3-D scheme for general 3-D geometries and a so-called 2.