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Validity of claims-based definitions of left ventricular systolic dysfunction in Medicare patients.

机译:基于声明的医疗保险患者左心室收缩功能不全的有效性。

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PURPOSE: Ejection fraction (EF) is crucial information when studying the use and effectiveness of therapies in patients with heart failure (HF) and myocardial infarction (MI). We aimed to assess the validity of claims data-based definitions of systolic dysfunction (SD). METHODS: We identified 1072 patients with EF recorded for an HF/MI hospitalization in Medicare linked with pharmacy data and national HF/MI registries in 1999-2006. Thirteen claims-based definitions for SD were developed using a single or combination of ICD-9 diagnosis codes and cardiovascular medications use. We calculated sensitivity, specificity, and positive predictive values (PPVs) using recorded EFs as the gold standard. RESULTS: Using an EF cutoff of 45%, the definitions based on digoxin use and no atrial fibrillation or flutter had the highest PPVs (76% to 84%) and specificity (>97%) but low sensitivity (6%-14%). As we varied the EF cutoff between 50% and 25%, the specificity decreased by 3%, but the PPVs decreased by 52%. We observed potential differences in the PPVs by patients' characteristics. In a hypothetical study assessing implantable defibrillator effectiveness, using our definition to identify patients with SD would underestimate the effectiveness by 3% to 24%. In another hypothetical study comparing two classes of angiotensin system blockers where SD was considered confounding, our definition introduced ~43% misclassification bias. CONCLUSIONS: Claims-based definitions for SD had excellent specificity and good PPV but low sensitivity. The definitions with good PPV could be used for cohort identification or confounding adjustment by restriction and would result in relatively small misclassification bias albeit limited generalizability.
机译:目的:当研究心力衰竭(HF)和心肌梗塞(MI)患者的治疗方法和有效性时,射血分数(EF)是至关重要的信息。我们旨在评估基于索赔数据的收缩功能障碍(SD)定义的有效性。方法:我们确定了1999年至2006年在Medicare中记录的1072例EF EF患者,该患者与药房数据和国家HF / MI注册机构有关。使用ICD-9诊断代码的单一或组合和心血管药物的使用,开发了13种基于权利要求的SD定义。我们使用记录的EF作为金标准,计算了灵敏度,特异性和阳性预测值(PPV)。结果:使用45%的EF截止值,基于地高辛使用且无房颤或扑动的定义具有最高的PPV(76%至84%)和特异性(> 97%),但敏感性较低(6%-14%) 。当我们将EF截止值在50%和25%之间变化时,特异性降低了3%,而PPV降低了52%。我们观察了根据患者特征的PPV的潜在差异。在一项评估植入式除颤器有效性的假设性研究中,使用我们的定义来识别SD患者将有效性低估3%至24%。在另一项假设研究中,比较了两类认为SD混杂的血管紧张素系统阻滞剂,我们的定义引入了约43%的误分类偏倚。结论:SD的基于声明的定义具有出色的特异性和良好的PPV,但敏感性较低。具有良好PPV的定义可用于队列识别或由于限制而造成混淆调整,尽管可归纳性有限,但仍会导致较小的误分类偏倚。

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