Kansas City Cardiomyopathy Questionnaire Utility in Prediction of 30-Day Readmission Rate in Patients with Chronic Heart Failure.
Kansas City Cardiomyopathy Questionnaire Utility in Prediction of 30-Day Readmission Rate in Patients with Chronic Heart Failure.
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堪萨斯城心肌病问卷调查表，预测慢性心力衰竭患者的30天再入院率。
DOI：
10.1155/2016/4571201
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发表时间：
2016
影响因子：
2.1
通讯作者：
Jiang H
中科院分区：
文献类型：
--
作者：
Dai S;Manoucheri M;Gui J;Zhu X;Malhotra D;Li S;D'souza J;Virkram F;Chada A;Jiang H
背景资料。心力衰竭(HF)是与再次入院相关的最常见的诊断之一。我们设计了这项前瞻性研究，以评估堪萨斯城心肌病问卷(KCCQ)评分是否与失代偿性心力衰竭住院患者30天的再入院时间有关。方法和结果。我们招募了240名符合研究标准的患者。48名(20%)患者在出院后30天内因失代偿性心衰再次入院，192名患者(80%)未再入院。与再入院患者相比，出院前未再入院患者的KCCQ平均得分更高(40.8vs32.6P=0.019)。多因素分析显示，KCCQ评分越高，再入院率越低(调整后OR=0.566，P=0.022)。基础模型(年龄+性别)的c-统计量为0.617。在基础模型上结合家庭药物和实验室测试，综合辨别改善(IDI)增加了3.9%。在此基础上，KCQQ进一步提高了2.7%的IDI。结论。出院前测定的KCCQ评分与心力衰竭患者30天再住院率显著相关，这可能提供一种临床有用的测量方法，并可显著提高再入院预测的可靠性。
Background. Heart failure (HF) is one of the most common diagnoses associated with hospital readmission. We designed this prospective study to evaluate whether Kansas City Cardiomyopathy Questionnaire (KCCQ) score is associated with 30-day readmission in patients hospitalized with decompensated HF. Methods and Results. We enrolled 240 patients who met the study criteria. Forty-eight (20%) patients were readmitted for decompensated HF within thirty days of hospital discharge, and 192 (80%) patients were not readmitted. Compared to readmitted patients, nonreadmitted patients had a higher average KCCQ score (40.8 versus 32.6, P = 0.019) before discharge. Multivariate analyses showed that a high KCCQ score was associated with low HF readmission rate (adjusted OR = 0.566, P = 0.022). The c-statistic for the base model (age + gender) was 0.617. The combination of home medication and lab tests on the base model resulted in an integrated discrimination improvement (IDI) increase of 3.9%. On that basis, the KCQQ further increased IDI of 2.7%. Conclusions. The KCCQ score determined before hospital discharge was significantly associated with 30-day readmission rate in patients with HF, which may provide a clinically useful measure and could significantly improve readmission prediction reliability when combined with other clinical components.
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影响因子：
24
作者：
Heidenreich, PA;Spertus, JA;Williams, RE
通讯作者：
Williams, RE
影响因子：
168.9
作者：
Flather, MD;Yusuf, S;Braunwald, E
通讯作者：
Braunwald, E
影响因子：
2.8
作者：
Saito, Makoto;Negishi, Kazuaki;Marwick, Thomas H.
通讯作者：
Marwick, Thomas H.
影响因子：
37.8
作者：
Soto, GE;Jones, P;Spertus, JA
通讯作者：
Spertus, JA
影响因子：
18.2
作者：
Dunlay, Shannon M.;Gheorghiade, Mihai;Spertus, John A.
通讯作者：
Spertus, John A.