Methods: Data from 146 subjects High Content Screening with AD and 60 subjects with MCI, as well as 49 HC, was retrospectively analyzed. We used logistic regression analysis with diagnosis as dependent variables and scores of the MMSE, the CDT-command, and the CDT-copy as independent variables, and receiver operating characteristic analysis to distinguish patients with AD from patients with MCI or HC.
Results: When patients with AD were compared to HC, the independent predictors of AD were scores
on the MMSE and the CDT-command. This combination was more sensitive than the MMSE alone and has nearly the same sensitivity and specificity as the ADAS-J cog. When patients with AD were compared to patients with MCI, the independent predictors buy GDC-0973 were the MMSE and the CDT-copy. This combination was more sensitive and specific than the MMSE alone and was almost as sensitive and specific as the ADAS-J cog.
Conclusion: The combination of the MMSE and the CDT could be a powerful screening tool for differentiating between patients with AD, patients with MCI, and HC. Its sensitivity and specificity are comparable to ADAS-J cog, which takes more time.”
“Background: Menopause is a natural physiological event that usually begins in women between the ages of 48 and 55 years. In many cases, this event is
associated with unpleasant somatic-vegetative, urogenital or psychological symptoms.
Objective: To test the health and social demographic factors (especially household income level) that influence willingness to pay (WTP) for a new hormone-free treatment in
women of menopausal age.
Methods: 1365 Pitavastatin cell line women between the ages of 45 and 73 years were surveyed about their health and WTP for the new treatment. WTP was evaluated with a closed-ended binary questionnaire (four groups with different levels of co-payment between is an element of 15 and is an element of 60), using the contingent valuation method. The average WTP was calculated according to the area under the demand function. Factors contributing to payment readiness were examined by means of binary logistic regression.
Results: WTP was significantly affected by women’s opinion of the new medication, the level of co-payment required, net household income, whether currently in treatment for menopausal symptoms, and Menopause Rating Scale (MRS) values. Compared with other factors, the level of co-payment was predicted to have a negative impact on WTP. Income level is an important factor in WTP and correlates highly with several other health-related variables (WHO-5 index, MRS value, receipt of other menopause medicines and existing co-morbidity).