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Patients were followed until either the end of continuous health plan eligibility, the end of the available data stream, or death (as recorded in the Social Security Administration's Death Master File), whichever occurred first. Patients were also required to have at least 1 LDL-C result pre-index. Lastly, the analysis focused on high-risk patients with prior CHD or CHD risk-equivalents. High-risk was determined based on the occurrence of at least 1 of the following events at any time prior to the index date: (1) established CHD, stroke, TIA, or peripheral arterial disease as identified by relevant [http://en.wikipedia.org/wiki/MAPK MAPK] International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) [http://www.selleckchem.com/products/ly2109761.html LY2109761] diagnosis codes or a prescription fill for clopidogrel; (2) at least 2 medical claims for diabetes mellitus (ICD-9-CM code 250.xx) or at least 1 prescription fill for an antidiabetic medication. Given the consistent observation from a number of prospective epidemiologic cohorts that LDL-P better predicts cardiovascular outcomes than LDL-C even after rigorous adjustment for established cardiovascular risk factors [11], [12]?and?[13], we evaluated whether high-risk patients who achieved LDL-P [http://www.selleckchem.com/products/epz-5676.html EPZ5676 purchase] date. High-risk patients were identified using the same method as used in Part 1 for the CHD incidence assessment. Within the LDL-P and LDL-C target cohorts, patients were grouped into 12-month, 24-month and 36-month cohorts based on the length of their available follow-up period (at least 12, 24, or 36 months); patients with longer follow-up were allowed to be in multiple cohorts (for example, a patient with 25 months of follow-up was included in the 12 and 24 month cohorts). Within each cohort outcomes were assessed over the available follow-up time (for example, CHD events were assessed over 12 months in the LDL-P and LDL-C cohorts with at least 12 months of follow-up data).