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B 型利钠肽的入院、出院或变化与长期结局:来自与医疗保险索赔相关的医院心力衰竭患者开始救生治疗的有组织计划(OPTIMIZE-HF)的数据。

Admission, discharge, or change in B-type natriuretic peptide and long-term outcomes: data from Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF) linked to Medicare claims.

机构信息

Duke Clinical Research Institute, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

出版信息

Circ Heart Fail. 2011 Sep;4(5):628-36. doi: 10.1161/CIRCHEARTFAILURE.111.962290. Epub 2011 Jul 8.

Abstract

BACKGROUND

B-type natriuretic peptide (BNP) has been associated with short- and long-term postdischarge prognosis among hospitalized patients with heart failure. It is unknown if admission, discharge, or change from admission to discharge BNP measure is the most important predictor of long-term outcomes.

METHODS AND RESULTS

We linked patients ≥65 years of age from hospitals in Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF) to Medicare claims. Among patients with recorded admission and discharge BNP, we compared Cox models predicting 1-year mortality and/or rehospitalization, including clinical variables and clinical variables plus BNP. We calculated the net reclassification improvement (NRI) and integrated discrimination improvement (IDI) for the best-fit model for each outcome versus the model with clinical variables alone. Among 7039 patients in 220 hospitals, median (25th, 75th) admission and discharge BNP were 832 pg/mL (451, 1660) and 534 pg/mL (281, 1111). Observed 1-year mortality and 1-year mortality or rehospitalization rates were 35.2% and 79.4%. The discharge BNP model had the best performance and was the most important characteristic for predicting 1-year mortality (hazard ratio for log transformation, 1.34; 95% confidence interval, 1.28 to 1.40) and 1-year death or rehospitalization (hazard ratio, 1.15; 95% confidence interval, 1.12 to 1.18). Compared with a clinical variables only model, the discharge BNP model improved risk reclassification and discrimination in predicting each outcome (1-year mortality: NRI, 5.5%, P<0.0001; IDI, 0.023, P<0.0001; 1-year mortality or rehospitalization: NRI, 4.2%, P<0.0001; IDI, 0.010, P<0.0001).

CONCLUSIONS

Discharge BNP best predicts 1-year mortality and/or rehospitalization among older patients hospitalized with heart failure. Discharge BNP plus clinical variables modestly improves risk classification and model discrimination for long-term outcomes.

摘要

背景

B 型利钠肽(BNP)与心力衰竭住院患者的短期和长期出院后预后相关。尚不清楚入院时、出院时或入院至出院时 BNP 测量值是否是预测长期结局的最重要指标。

方法和结果

我们将 OPTIMIZE-HF 研究中≥65 岁的住院心力衰竭患者与 Medicare 索赔数据进行了关联。在记录了入院和出院 BNP 的患者中,我们比较了预测 1 年死亡率和/或再入院的 Cox 模型,包括临床变量和临床变量加 BNP。我们计算了每个结局最佳拟合模型与仅包含临床变量模型的净重新分类改善(NRI)和综合判别改善(IDI)。在 220 家医院的 7039 名患者中,中位(25%,75%)入院和出院 BNP 分别为 832 pg/mL(451,1660)和 534 pg/mL(281,1111)。观察到的 1 年死亡率和 1 年死亡率或再住院率分别为 35.2%和 79.4%。出院 BNP 模型的性能最佳,是预测 1 年死亡率(对数变换后的危险比,1.34;95%置信区间,1.28 至 1.40)和 1 年死亡或再住院(危险比,1.15;95%置信区间,1.12 至 1.18)的最重要特征。与仅包含临床变量的模型相比,出院 BNP 模型在预测每个结局时改善了风险重新分类和区分度(1 年死亡率:NRI,5.5%,P<0.0001;IDI,0.023,P<0.0001;1 年死亡率或再住院:NRI,4.2%,P<0.0001;IDI,0.010,P<0.0001)。

结论

在老年心力衰竭住院患者中,出院 BNP 可最佳预测 1 年死亡率和/或再住院率。出院 BNP 加临床变量可适度改善长期结局的风险分类和模型区分度。

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