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因心力衰竭住院的老年患者的长期生存情况:一项前瞻性随机试验的14年随访

Long-term survival in elderly patients hospitalized for heart failure: 14-year follow-up from a prospective randomized trial.

作者信息

Huynh Bao C, Rovner Aleksandr, Rich Michael W

机构信息

Internal Medicine Residency Program, Department of Medicine, and Cardiovascular Division, Washington University School of Medicine, St Louis, MO, USA.

出版信息

Arch Intern Med. 2006 Sep 25;166(17):1892-8. doi: 10.1001/archinte.166.17.1892.

Abstract

BACKGROUND

The growing heart failure epidemic imposes a substantial burden on the US health care system. The ability to accurately assess prognosis would allow clinicians to triage patients to appropriate therapy and to plan the intensity of care following hospital discharge.

METHODS

A cohort of 282 elderly (mean +/- SD age, 79.2 +/- 6.1 years) patients with heart failure were followed for up to 14 years after enrollment in a prospective randomized multidisciplinary disease management trial conducted from 1990 through 1994. Kaplan-Meier survival curves were constructed to assess the probability of survival during the follow-up period. A Cox proportional hazards model was developed to identify independent predictors of long-term survival. C statistics were calculated to assess the utility of the model for predicting mortality at 6 months, 1 year, and 5 years.

RESULTS

During the 14-year follow-up period, 269 patients (95%) died and the median survival was 894 days. Cox analysis identified 7 variables that were independent predictors of shorter survival time: older age (hazard ratio [HR], 1.14 per 5 years; 95% confidence interval [CI], 1.03-1.26), serum sodium level less than 135 mEq/L (HR, 1.67; 95% CI, 1.19-2.32), coronary artery disease (HR 1.51; 95% CI, 1.16-1.95), dementia (HR, 2.02; 95% CI, 1.13-3.61), peripheral vascular disease (HR, 1.74; 95% CI, 1.20-2.52), systolic blood pressure (HR, 0.95 per 10 mm Hg; 95% CI, 0.92-0.98), and serum urea nitrogen level (HR, 1.20 per 10 mg/dL [3.57 mmol/L]; 95% CI, 1.12-1.29). C statistics for the model were 0.84, 0.79, and 0.75 at 6 months, 1 year, and 5 years, respectively. A risk score for mortality was developed using the 7 independent predictor variables. One-year mortality rates among patients with 0 to 1 (n = 89), 2 to 3 (n = 153), and 4 or more (n = 37) risk factors were 9.0%, 22.2%, and 73.0%, respectively (P<.001).

CONCLUSIONS

Among elderly patients hospitalized with heart failure, median survival is about 2.5 years. However, there is considerable heterogeneity in survival, with 25% of patients dying within 1 year and 25% surviving for more than 5 years. A simple 7-item risk score, based on data readily available at the time of admission, provides a reliable estimate of prognosis.

摘要

背景

心力衰竭发病率的不断上升给美国医疗保健系统带来了沉重负担。准确评估预后的能力将使临床医生能够对患者进行分类,以便给予适当的治疗,并规划出院后的护理强度。

方法

在1990年至1994年进行的一项前瞻性随机多学科疾病管理试验中,对282例老年(平均±标准差年龄,79.2±6.1岁)心力衰竭患者进行了长达14年的随访。构建Kaplan-Meier生存曲线以评估随访期间的生存概率。建立Cox比例风险模型以识别长期生存的独立预测因素。计算C统计量以评估该模型在预测6个月、1年和5年死亡率方面的效用。

结果

在14年的随访期内,269例患者(95%)死亡,中位生存期为894天。Cox分析确定了7个与较短生存时间相关的独立预测变量:年龄较大(风险比[HR],每5年1.14;95%置信区间[CI],1.03-1.26)、血清钠水平低于135 mEq/L(HR,1.67;95%CI,1.19-2.32)、冠状动脉疾病(HR 1.51;95%CI,1.16-1.95)、痴呆(HR,2.02;95%CI,1.13-3.61)、外周血管疾病(HR,1.74;95%CI,1.20-2.52)、收缩压(HR,每10 mmHg 0.95;95%CI,0.92-0.98)和血清尿素氮水平(HR,每10 mg/dL[3.57 mmol/L]1.20;95%CI,1.12-1.29)。该模型在6个月、1年和5年时的C统计量分别为0.84、0.79和0.75。使用这7个独立预测变量建立了死亡率风险评分。0至1个(n = 89)、2至3个(n = 153)和4个或更多(n = 37)风险因素患者的1年死亡率分别为9.0%、22.2%和73.0%(P<0.001)。

结论

在因心力衰竭住院的老年患者中,中位生存期约为2.5年。然而,生存情况存在很大差异,25%的患者在1年内死亡,25%的患者存活超过5年。基于入院时 readily available(此处原文有误,推测为readily available,意为容易获得)的数据的简单7项风险评分可提供可靠的预后估计。

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