首页> 外文期刊>The American heart journal >Predictors of mortality after discharge in patients hospitalized with heart failure: an analysis from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF).
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Predictors of mortality after discharge in patients hospitalized with heart failure: an analysis from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF).

机译:心力衰竭住院患者出院后死亡率的预测指标:一项有组织的计划对住院的心力衰竭患者进行挽救生命的治疗(OPTIMIZE-HF)的分析。

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BACKGROUND: Patients with heart failure (HF) are at high risk for mortality and rehospitalization in the early period after hospital discharge. We developed clinical models predictive of short-term clinical outcomes in a broad patient population discharged after hospitalization for HF. METHODS: The Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF) registry is a comprehensive hospital-based registry and performance-improvement program for patients hospitalized with HF. Follow-up data were scheduled to be prospectively collected at 60 to 90 days postdischarge in a prespecified 10% sample. For the 4,402 patients included in this analysis, 19 prespecified potential predictor variables were used in a stepwise Cox proportional hazards model for all-cause mortality. Logistic regression including 45 potential variables was used to model mortality or rehospitalization. RESULTS: The 60- to 90-day postdischarge mortality rate was 8.6% (n = 481), and 29.6%(n = 1,715) were rehospitalized. Factors predicting early postdischarge mortality include age, serum creatinine, reactive airway disease, liver disease, lower systolic blood pressure, lower serum sodium, lower admission weight, and depression. Use of statins and beta-blockers at discharge was associated with significantly decreased mortality. The C-index of the model was 0.74. The most important predictors for the combined end point of death or rehospitalization were admission serum creatinine, systolic blood pressure, admission hemoglobin, discharge use of angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, and pulmonary disease. From this analysis, 8 factors identified to carry significant risk were selected for use in a point scoring system to predict the risk of mortality within 60 days after discharge, with a C-index of 0.72. CONCLUSIONS: A substantial risk of mortality and mortality or rehospitalization is present in the first 60 to 90 days after discharge from a hospitalization forHF. Several factors were identified that signal high-risk patients. Application of these findings with a simple algorithm can distinguish patients who are low risk from those at high risk who may benefit from closer monitoring and aggressive evidence-based treatment.
机译:背景:心力衰竭(HF)患者在出院后的早期就有很高的死亡率和再次住院的风险。我们开发了临床模型,该模型可预测在因HF住院后出院的广大患者中的短期临床结果。方法:有组织的住院心力衰竭患者开始挽救生命的计划(OPTIMIZE-HF)注册是针对住院HF患者的基于医院的综合注册和性能改善计划。计划在出院后60至90天前瞻性收集预先指定的10%样本中的随访数据。对于该分析中包括的4,402例患者,在全因死亡率的逐步Cox比例风险模型中使用了19个预先指定的潜在预测变量。 Logistic回归包括45个潜在变量,用于模拟死亡率或住院治疗。结果:出院后60至90天的死亡率为8.6%(n = 481),而住院治疗的死亡率为29.6%(n = 1,715)。预测出院后早期死亡率的因素包括年龄,血清肌酐,反应性气道疾病,肝病,收缩压降低,血钠降低,入院体重降低和抑郁。出院时使用他汀类药物和β受体阻滞剂可显着降低死亡率。模型的C指数为0.74。死亡或再次住院合并终点的最重要预测因素是入院血清肌酐,收缩压,入院血红蛋白,排出使用血管紧张素转换酶抑制剂或血管紧张素受体阻滞剂和肺部疾病。从该分析中,选择了8个被确定具有重大风险的因素用于点数评分系统,以预测出院后60天内的死亡风险,C指数为0.72。结论:HF住院后的最初60至90天存在重大死亡和死亡风险或重新住院的风险。确定了几个信号通知高危患者。通过简单的算法应用这些发现可以将低风险患者与高风险患者区分开,这些患者可能会受益于更严格的监测和积极的循证治疗。

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