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首页> 外文期刊>Annals of the American Thoracic Society >Validation of a New Risk Measure for Chronic Obstructive Pulmonary Disease Exacerbation Using Health Insurance Claims Data
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Validation of a New Risk Measure for Chronic Obstructive Pulmonary Disease Exacerbation Using Health Insurance Claims Data

机译:使用健康保险索赔数据验证慢性阻塞性肺病加剧的新风险措施

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Rationale: Current chronic obstructive pulmonary disease (COPD) exacerbation risk prediction models are based on clinical data not easily accessible to national quality-of-care organizations and payers. Models developed from data sources available to these organizations are needed. Objectives: This study aimed to validate a risk measure constructed using pharmacy claims in patients with COPD. Administrative claims data were used to construct a risk model to test and validate the ratio of controller (maintenance) medications to total COPD medications (CTR) as an independent risk measure for COPD exacerbations. The ability of the CTR to predict the risk of COPD exacerbations was also assessed. Methods: This was a retrospective study using health insurance claims data from the Truven MarketScan database (2006-2011), whereby exacerbation risk factors of patients with COPD were observed over a 12-month period and exacerbations monitored in the following year. Exacerbations were defined as moderate (emergency department or outpatient treatment with oral corticosteroid dispensings within 7 d) or severe (hospital admission) on the basis of diagnosis codes. Models were developed and validated using split-sample data from the MarketScan database and further validated using the Reliant Medical Group database. The performance of prediction models was evaluated using C-statistics. Measurements and Main Results: A total of 258,668 patients with COPD from the MarketScan database were included. A CTR of greater than or equal to 0.3 was significantly associated with a reduced riskfor any (adjusted odds ratio [OR], 0.91; 95% confidence interval [CI], 0.85-0.97); moderate (OR, 0.93; 95% CI, 0.87-1.00), or severe (OR, 0.87; 95% CI, 0.80-0.95) exacerbation. The CTR, at a ratio of greater than or equal to 0.3, was predictive in various subpopulations, including those without a history of asthma and those with or without a history of moderate/severe exacerbations. The C-statistics ranged from 0.750 to 0.761 for the development set and 0.714 to 0.761 in the validation sets, indicating the CTR performed well in predicting exacerbation risk. Conclusions: The ratio of controller to total medications dispensed for COPD is a measure that can easily be calculated using only pharmacy claims data. A CTR of greater than or equal to 0.3 can potentially be used as a quality-of-care measurement for prevention of exacerbations.
机译:理由:目前的慢性阻塞性肺病(COPD)恶化风险预测模型基于国家护理质量组织和付款人不容易访问的临床数据。需要从这些组织可用的数据源开发的模型。目的:本研究旨在验证使用COPD患者使用药物索赔构成的风险措施。行政权利要求数据用于构建风险模型以测试和验证控制器(维护)药物与总COPD药物(CTR)的比率,作为COPD加剧的独立风险措施。 CTR预测COPD恶化风险的能力也得到了评估。方法:这是使用来自Truven Marketscan数据库(2006-2011)的健康保险索赔数据的回顾性研究,由此在次年监测的12个月内,在12个月的时间内观察到COPD患者的恶化危险因素。将加剧被定义为在诊断代码的基础上被定义为中度(急诊部或在7 d内的口腔皮质类固醇分配)或严重(医院入院)。使用来自Marketscan数据库的拆分数据进行开发和验证模型,并使用Reliant Medical Group数据库进一步验证。使用C统计评估预测模型的性能。测量和主要结果:包括来自Marketscan数据库的258,668名患者。对于任何(调整后的差距[或],0.91; 95%置信区间[CI],0.85-0.97)的风险,大于或等于0.3的CTR显着相关。中等(或,0.93; 95%CI,0.87-1.00)或严重(或0.87; 95%CI,0.80-0.95)加剧。在各种群体中,Ctr的比率大于或等于0.3的比例,包括没有哮喘史的那些群体和有或没有中度/严重恶化的历史的那些。 C统计量为开发集0.750至0.761,验证集中的0.714至0.761,表示CTR在预测加剧风险时表现良好。结论:COPD分配的控制器与总药物的比例是可以仅使用药房声明数据轻松计算的措施。大于或等于0.3的CTR可能被用作预防加剧的护理质量测量。

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