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A simple risk score accurately predicts in-hospital mortality, length of stay, and cost in acute upper GI bleeding

机译:简单的风险评分可准确预测急性上消化道出血的住院死亡率,住院时间和费用

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Background: Although the early use of a risk stratification score in upper GI bleeding is recommended, existing risk scores are not widely used in clinical practice. Objective: We sought to develop and validate an easily calculated bedside risk score, AIMS65, by using data routinely available at initial evaluation. Design: Data from patients admitted from the emergency department with acute upper GI bleeding were extracted from a database containing information from 187 U.S. hospitals. Recursive partitioning was applied to derive a risk score for in-hospital mortality by using data from 2004 to 2005 in 29,222 patients. The score was validated by using data from 2006 to 2007 in 32,504 patients. Accuracy to predict mortality was assessed by the area under the receiver operating characteristic (AUROC) curve. Main Outcome Measurements: Mortality, length of stay (LOS), and cost of admission. Results: The 5 factors present at admission with the best discrimination were albumin less than 3.0 g/dL, international normalized ratio greater than 1.5, altered mental status, systolic blood pressure 90 mm Hg or lower, and age older than 65 years. For those with no risk factors, the mortality rate was 0.3% compared with 31.8% in patients with all 5 (P <.001). The model had a high predictive accuracy (AUROC = 0.80; 95% CI, 0.78-0.81), which was confirmed in the validation cohort (AUROC = 0.77, 95% CI, 0.75-0.79). Longer LOS and increased costs were seen with higher scores (P <.001). Limitations: Database data used does not include outcomes such as rebleeding. Conclusions: AIMS65 is a simple, accurate risk score that predicts in-hospital mortality, LOS, and cost in patients with acute upper GI bleeding.
机译:背景:尽管建议在上消化道出血中尽早使用危险分层评分,但现有的危险评分并未在临床实践中广泛使用。目的:我们试图通过使用初始评估中常规获得的数据来开发和验证易于计算的床旁风险评分AIMS65。设计:从包含187家美国医院信息的数据库中提取急诊患者急性上消化道出血的数据。通过使用2004年至2005年29,222例患者的数据,采用递归划分方法得出住院死亡率的风险评分。该得分通过使用2006年至2007年的32,504例患者的数据进行验证。预测死亡率的准确性由接受者工作特征(AUROC)曲线下方的面积评估。主要指标:死亡率,住院时间和入院费用。结果:入院时存在最佳辨别力的五个因素是白蛋白小于3.0 g / dL,国际标准化比率大于1.5,精神状态改变,收缩压90 mm Hg或更低以及年龄大于65岁。对于那些没有危险因素的患者,死亡率为0.3%,而所有这5名患者的死亡率为31.8%(P <.001)。该模型具有较高的预测准确性(AUROC = 0.80; 95%CI,0.78-0.81),这在验证队列中得到了确认(AUROC = 0.77,95%CI,0.75-0.79)。较高的分数可以看到较长的LOS和成本增加(P <.001)。局限性:使用的数据库数据不包括再出血等结果。结论:AIMS65是一个简单,准确的风险评分,可预测急性上消化道出血患者的院内死亡率,LOS和费用。

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