Adapted MMSE and TYM cognitive tests: how much powerful in screening for Alzheimer's disease in Iranian people

Alzheimer's disease (AD) is a major global health priority and providing an efficient way for early diagnosis of people developing dementia is important. The Mini-Mental State Examination (MMSE, total score = 30) and Test Your Memory (TYM, total score = 50) are widely used as screening tests for cognitive function. In the present study 174 subjects including healthy people (CON group) and those having Alzheimer's disease (AD group) were introduced to MMSE and TYM cognitive tests adjusted to Iranian population. Sensitivities and specificities with optimal cut-off scores, area under curve (AUC), positive predictive value (PPV) and negative predictive value (NPV) were measured for both tests. The MMSE scores of the CON and AD groups were 23.77 ± 0.327 and 10.88 ± 0.762, respectively. The TYM scores were 44.32 ± 0.389 and 14.37 ± 1.368 in the CON and AD participants, respectively. Findings in the MMSE test were: AUC = 0.962, optimal cut-off score = 18.5, sensitivity = 0.90 and specificity = 0.96. Values in the TYM test were: AUC = 0.991, optimal cut-off score = 31, sensitivity = 0.90 and specificity = 1. We found no correlation between the cognitive performance and age in the CON group but a positive correlation in the AD patients. On the other hand, t-test analysis indicated that achievement of the test scores are significantly sex dependent, with more scores attained by the females. Taken together, in regard to correct classification rate (CCR); the TYM test seems to be more appropriate for cognitive screening in our study. However, considering an analogous AUC, both tests are comparable and have high sensitivity and specificity for discriminating between people with and without AD.

Production and in vitro characterization of lisinopril-loaded nanoparticles for the treatment of restenosis in stented coronary arteries

Lisinopril, an angiotensin converting enzyme (ACE) inhibitor drug, was encapsulated in poly(lactide-co-glicolide) (PLGA) nanoparticles (NP) for site-specific delivery by catheters in prevention of restenosis. NP were prepared by emulsification-diffusion method. The PLGA type, stabilizing agent type and its concentration were studied as process variables. The z-average particle size varied between 265-412 nm. The highest zeta potential was seen in NP prepared with Pluronic F-68. None of the studied variables or their interactions had a significant effect on the particle size while all had main effect on the zeta potential. The highest entrapment efficiency was 93% and all studied variables and their interactions except PLGA type and its interaction with the stabilizer type had significant effects on the loading. Baker-Lonsdale model was the most appropriate model for release of lisinopril from NP. Five per cent PLGA 75:25 and 5% Pluronic F-68 showed promising results for 21 days release of lisinopril as an anti-restenotic agent.

Prevalence and risk factors of low-birth-weight infants in Zahedan, Islamic Republic of Iran

The study investigated the prevalence and risk factors of low birth weight (LBW) in 1109 hospital births in Zahedan city, Islamic Republic of Iran. The overall prevalence of LBW was 11.8% (95% Cl: 9.9%-13.7%), similar for boys and girls (11.1% and 12.6% respectively). LBW was significantly associated with mother's ethnic origin (Balouch), birth interval < 3 years, twin birth, no use of supplements during pregnancy, < 4 prenatal care visits, no education, younger age and presence of maternal disease. There was no effect of mother's parity, occupation and smoking status. After logistic regression analysis, the only significant risk factors were: birth interval < 3 years, twin birth, no use of ferrous sulfate and maternal disease.