We chose to use car diovascular medication as a criteria rather t

We chose to use car diovascular medication as a criteria rather than any cardi ovascular diagnosis selleckchem Vandetanib to select for subjects who were sufficiently responsive to the health care Inhibitors,Modulators,Libraries system to take medications, which is analogous to those taking statins. Warfarin was used as a secondary comparator to allow comparison to a specific medication, because use of one identified medication facilitates assessment of potential modifying factors. Warfarin was chosen because it has not been reported in the literature to modify the course of dementia. Statistical analyses SAS software was used for all statistical calculations. Kaplan Meier sur vival curves were plotted to show the rate of events. Cox proportional hazards models were used to estimate the association between exposure to statins and risk of dementia.

The covariates described in the analysis section were included in these models. Point estimates and 95% confidence intervals are reported for the adjusted hazard ratios. We analyzed several different models that incorporate increasing numbers of interaction terms. The results Inhibitors,Modulators,Libraries of each model are described in Tables 2 and 4. Results Characterization of records from the DSS database Table 1 describes the characteristics of the populations analyzed. The mean ages of the comparators and each of the statins were similar. We examined the number of hospitalizations and the Charlson Index during the study period, which is an index providing a general assessment of chronic disease.

The CV comparator and each of the Inhibitors,Modulators,Libraries statins had differences Inhibitors,Modulators,Libraries in the Charlson Index that were 4% of the mean stand ard deviation for the group, and differences in hospitali zation rates that were 15% of the mean standard deviation for the group. The warfarin group had a hospitalization rate and Charlson Index that were signif icantly higher than the values for the other groups. We next examined the numbers of subjects taking each medication. Table 1 shows the number of subjects taking statins who were 65 years old and had 7 months of con tinuous use of statin. Lovastatin, simvastatin and atorvastatin all had large numbers of prescriptions during the 20035 period. Fluvastatin and pravastatin showed a modest number of prescriptions, and rosuvastatin was not prescribed to a sig nificant degree in the VA system during the 20035. We also analyzed patterns of usage.

Use of lovastatin, simvas tatin, atorvastatin and pravastatin changed by 50% over the 3 years of analysis. Use of fluvastatin, however, increased approximately 40 fold Inhibitors,Modulators,Libraries between 2003 and 2005. The average age of subjects taking statins was 74. 6 years, and was things similar for the whole group of statin users. Based on these data, we did not pursue further studies of pravastatin or fluvastatin. The number of subjects on pravastatin was too few to produce reliable information. Fluvastatin had more subjects but was confounded by a very large increase in use.

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