Background and Aims. Risk score questionnaires for the screening of type 2 diabetes mellitus (DM) present high accuracy, especially the Finnish Diabetes Risk Score (FINDRISC). The aim of the study was to assess the FINDRISC score and its correlations with multiple markers of subclinical atherosclerosis in an asymptomatic urban population.
Material and Methods. In the current prospective study, 111 randomized asymptomatic subjects, aged 35-75, were evaluated. FINDRISC score, the cardiovascular and metabolic risk profile were evaluated. Multiple markers of subclinical atherosclerosis were assessed including carotid intima-media thickness (IMT), ankle-brachial index (ABI), pulse wave velocity (PWV) and left ventricular mass index (LVMI).
Results. Mean age was 51.87 ± 10.64 years while FINDRISC score was 10.53 ± 4.53. 77% of the subjects were overweight and all parameters of obesity were well associated with FINDRISC score (p<0.001). This asymptomatic population was dyslipidemic (total cholesterol 212.79±44.99 mg/dl). DM risk correlated with age, blood pressure, fasting plasma glucose and glomerular filtration rate. Increased FINDRISC was associated with IMT (r=0.24, p=0.01), PWV (r=0.26, p=0.008) or LVMI (r=0.23, p=0.01).
Conclusions. This asymptomatic population was metabolically uncontrolled. Easily administered type 2 DM screening questionnaires should be routinely performed as increased risk score values are associated with subclinical atherosclerosis.
The biosorption of lithium from batch systems by Arthrospira (Spirulina) platensis biomass was studied. Adsorption capacity of the biosorbent was investigated as a function of contact time, initial metals concentration and pH values. Lithium content in biomass was determined using Proton Induced Gamma Emission technique. The ability of spirulina biomass for lithium biosorption showed a maximum at the pH = 11. Equilibrium data fitted well with the Langmuir model with maximum adsorption capacity of 1.75 mg/g, while the kinetic data were best described using the pseudo second-order kinetic model. The IR spectrum of the Li-loaded biomass revealed that lithium ions could be primarily bind to –OH, –COOH, –NH, –NH2, and –NH3 groups present on biosorbent surface. Arthrospira platensis biomass could be applied as environmentally friendly sorbent for lithium removal from wastewater.