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Mark Weiner

Publications and source records attributed to Mark Weiner.

2 recordsLinked to original sources

High- versus low-dose angiotensin converting enzyme inhibitor therapy in the treatment of heart failure: an economic analysis of the Assessment of Treatment with Lisinopril and Survival (ATLAS) trial.

BACKGROUND: Angiotensin-converting enzyme (ACE) inhibitors reduce heart failure death and hospitalization. Prescribed doses often are lower than randomized clinical trial (RCT) targets and practice guideline recommendations. OBJECTIVE: To assess the cost-effectiveness of high- versus low-dose ACE inhibitor therapy in the ATLAS trial. STUDY DESIGN: A 19-nation RCT of high-dose (32.5-35.0 mg/day) versus low-dose (2.5-5.0 mg/day) lisinopril in 3164 patients with class II-IV heart failure and left ventricular ejection fraction < or = 30%. METHODS: Data on clinical outcomes and major cost events (hospitalizations and drug utilization) were collected prospectively. Hospital costs were estimated using Medicare and representative managed care diagnosis-related group reimbursement rates. ACE inhibitor drug costs were estimated using US average wholesale prices. Costs were discounted at 3% annually. RESULTS: Patients in the high-dose lisinopril group had fewer hospitalizations (1.98 vs 2.22, P = .014) and hospital days (18.28 vs 22.22, P = .002), especially heart failure hospitalizations (0.64 vs 0.80, P = .006) and heart failure hospital days (6.02 vs 7.45, P = .028) compared with the low-dose group. The high-dose lisinopril group also had lower heart failure hospital costs (dollars 5114 vs dollars 6361, P = .006) but higher ACE inhibitor drug costs (dollars 1368 vs dollars 855, P = .0001). Total hospital and drug costs were similar between high- and low-dose lisinopril groups (mean difference dollars -875, 95% CI dollars -2613 to dollars 884). Sensitivity analyses confirmed these findings. CONCLUSIONS: Cost savings from fewer heart failure hospitalizations offset higher ACE inhibitor costs in the high-dose group. The improved clinical outcomes were achieved without increased treatment costs.

Aged↗

Metadata tables to enable dynamic data modeling and web interface design: the SEER example.

A wealth of information addressing health status, outcomes and resource utilization is compiled and made available by various government agencies. While exploration of the data is possible using existing tools, in general, would-be users of the resources must acquire CD-ROMs or download data from the web, and upload the data into their own database. Where web interfaces exist, they are highly structured, limiting the kinds of queries that can be executed. This work develops a web-based database interface engine whose content and structure is generated through interaction with a metadata table. The result is a dynamically generated web interface that can easily accommodate changes in the underlying data model by altering the metadata table, rather than requiring changes to the interface code. This paper discusses the background and implementation of the metadata table and web-based front end and provides examples of its use with the NCI's Surveillance, Epidemiology and End-Results (SEER) database.

Databases, Factual↗