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Computerized history-taking as a tool to manage dyslipidemia

机译:电脑化的病史记录作为管理血脂异常的工具

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Background: Validated guidelines to manage low-density lipoprotein (LDL)-cholesterol are utilized inconsistently or not at all even though their application lowers the incidence of coronary events. New approaches are needed, therefore, to implement these guidelines in everyday practice. Methods and results: We compared an automated method for applying The National Cholesterol Education Panel (NCEP) guidelines with results from routine care for managing LDL-cholesterol. The automated method comprised computerized history-taking and analysis of historical data without physician input. Results from routine care were determined for 213 unselected patients and compared with results from interviews of the same 213 patients by a computerized history-taking program. Data extracted from hospital charts showed that routine care typically did not collect sufficient information to stratify risk and assign treatment targets for LDL-cholesterol and that there were inconsistencies in identifying patients with normal or elevated levels of LDL-cholesterol in relation to risk. The computerized interview program outperformed routine care in collecting historical data relevant to stratifying risk, assigning treatment targets, and clarifying the presence of hypercholesterolemia relative to risk. Conclusions: Computerized history-taking coupled with automated analysis of the clinical data can outperform routine medical care in applying NCEP guidelines for stratifying risk and identifying patients with hypercholesterolemia in relation to risk.
机译:背景:尽管低密度脂蛋白(LDL)-胆固醇的应用降低了冠状动脉事件的发生率,但仍不一致或根本没有采用经验证的管理低密度脂蛋白(LDL)-胆固醇的指南。因此,需要新的方法来在日常实践中实施这些准则。方法和结果:我们将应用国家胆固醇教育小组(NCEP)指南的自动化方法与管理LDL-胆固醇的常规护理结果进行了比较。自动化方法包括计算机化的历史记录和对历史数据的分析,无需医生输入。确定了213名未选患者的常规护理结果,并通过计算机化的历史记录程序将其与相同213名患者的访谈结果进行了比较。从医院病历表中提取的数据表明,常规护理通常无法收集到足够的信息来对风险进行分层并确定LDL-胆固醇的治疗目标,并且在确定与风险相关的LDL-胆固醇水平正常或升高的患者方面存在不一致之处。在收集与分层风险有关的历史数据,指定治疗目标并阐明相对于风险的高胆固醇血症方面,计算机化的访谈程序优于常规护理。结论:在应用NCEP指南对危险进行分层并确定与危险有关的高胆固醇血症患者时,计算机化的病史记录以及对临床数据的自动分析可以胜过常规医疗。

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