RESUMO
BACKGROUND: Regarding adjustments to warfarin dosage, numerous studies have shown that computerized methods are superior to those based on personal experience. OBJECTIVES: To report the efficacy of a computer-based warfarin management system (WMS) in the Iranian population. METHODS: By utilizing the existing dosing algorithms and obtaining expert opinions, we developed a computer-based WMS at a large tertiary cardiovascular center. The time in therapeutic range (TTR) and the number of international normalized ratio (INR) tests of clinic patients were compared before and after the implementation of WMS. RESULTS: Overall, 803 patients with 5407 INR tests were included in the before phase and 679 patients with 4189 INR tests in the after phase. The mean TTR was 57.3% before and 59% after WMS implementation (mean difference, 1.64, 95% CI: -1.12 to 4.40). In the before phase, the mean number of INR tests was 6.7, which dropped to 6.1 tests in the after phase (mean difference, -0.61, 95% CI: -0.97 to -0.24). Only 54.5% of the warfarin dosing prescriptions were consistent with the dosing recommendations of the WMS, and adherence to the WMS was poorest in the highest INR target range. CONCLUSIONS: For the first time in Iran, we demonstrated that a computerized system was as effective as a traditional experience-based method to monitor INR in VKA-anticoagulated patients. Furthermore, it could reduce both the number of INR tests and that of visits.
RESUMO
BACKGROUND: We sought to estimate the prevalence of diabetes mellitus (DM) and pre-DM and their associated factors among a sample of the Iranian urban population between 2017 and 2019. METHODS: The present investigation is a sub-study on the HAMRAH cohort study, a longitudinal population-based cohort study to assess the 10-year risk of cardiovascular diseases and their related risk factors in the adult population of the Iranian capital, Tehran. Via a multistage cluster randomized sampling method, 2123 adults aged between 30 and 75 years who had no history of cardiovascular diseases were selected for the study. With the aid of the 2010 American Diabetes Association criteria for the definition of DM and pre-DM, age and sex-specific prevalence rates were estimated. RESULTS: The estimated overall prevalence of DM was 14.3% (95% CI: 13.1%-15.8%): 10.4% known DM (95% CI: 9.1%-11.8%) and 4% newly diagnosed DM (95% CI: 3.1%-5.1%). Pre-DM was detected in about 29.2% of the study participants (95% CI: 22.9-36.3%). Our logistic regression analysis revealed that increasing age, higher systolic blood pressure, higher levels of triglycerides, and lower levels of high-density lipoprotein were significantly associated with DM. CONCLUSIONS: DM and pre-DM follow a notable incremental pattern among the Iranian urban population. This finding underscores the significance of the need to improve prevention and screening strategies in the Iranian urban population.