After adjusting for age and sex, hazard ratios of MS for cardiovascular mortality were 3.03 (95% confidence interval, 1.45-6.29), 1.56 (0.91-2.68), and 1.17 (0.42-3.22) in patients <= 70, 71-80, and >80 years old, respectively.
Conclusions. MS is associated with increased cardiovascular risk in middle-aged type 2 diabetic patients, and the clinical utility of this category in older
diabetic individuals is questionable.”
“The representation of time, space and numbers are strictly linked in the primate’s cognitive system. Here we show that merely looking at number symbols biases a temporal judgment on their duration depending upon the number’s magnitude. In a first experiment, a group of healthy subjects was submitted to a time estimation task, requiring to judge whether the duration of a test stimulus was longer or shorter than MLN4924 that of
a previous reference fixed stimulus (digit 5; duration 300 ms). Test stimuli buy Savolitinib were the digits 1, 5 and 9 ranging between 250 and 350 ms. The main results showed that temporal perception was biased according to the magnitude expressed by the digit: low digits (i.e. 1) leading to underestimation and high digits (i.e. 9) an overestimation of perceived duration. Control experiments showed that this result was consistent whatever digits were tested but not when letters of the alphabet were used. These findings argue for a functional interaction between time and numbers in the cognitive system. (c) 2008 Elsevier Ireland Ltd. All rights reserved.”
“Worldwide adoption of the Kidney Disease Outcomes Quality Initiative classification for chronic kidney disease (CKD) and widespread use of the estimated glomerular filtration rate to assess renal function
have identified large numbers of patients with previously undiagnosed CKD. It is clear, however, that this is a heterogeneous group and that only a small minority of such patients ever progress Avelestat (AZD9668) to end-stage renal disease. There is thus an urgent need for a simple method of risk assessment that can be applied to all patients with CKD to identify those few at greatest risk. The magnitude of baseline proteinuria has long been recognized as an important predictor of renal prognosis. Furthermore, several studies have found that change in proteinuria after initiation of antihypertensive treatment as well as achieved level of proteinuria correlate with prognosis. Thus, proteinuria has emerged as the single most important marker of renal risk. Many other factors have been identified as risk factors for CKD progression. Several attempts have been made to combine a relatively small number of risk factors into a risk score to predict renal outcomes in specific groups of patients. Validation of these risk scores as well as further studies are now required to develop a renal risk score applicable to a more general population of patients with CKD.