Suppr超能文献

MELD-Plus:一种可推广的肝硬化预测风险评分。

The MELD-Plus: A generalizable prediction risk score in cirrhosis.

作者信息

Kartoun Uri, Corey Kathleen E, Simon Tracey G, Zheng Hui, Aggarwal Rahul, Ng Kenney, Shaw Stanley Y

机构信息

Harvard Medical School, Boston, Massachusetts, United States of America.

Center for Systems Biology; Center for Assessment Technology & Continuous Health (CATCH), Massachusetts General Hospital, Boston, Massachusetts, United States of America.

出版信息

PLoS One. 2017 Oct 25;12(10):e0186301. doi: 10.1371/journal.pone.0186301. eCollection 2017.

Abstract

BACKGROUND AND AIMS

Accurate assessment of the risk of mortality following a cirrhosis-related admission can enable health-care providers to identify high-risk patients and modify treatment plans to decrease the risk of mortality.

METHODS

We developed a post-discharge mortality prediction model for patients with a cirrhosis-related admission using a population of 314,292 patients who received care either at Massachusetts General Hospital (MGH) or Brigham and Women's Hospital (BWH) between 1992 and 2010. We extracted 68 variables from the electronic medical records (EMRs), including demographics, laboratory values, diagnosis codes, and medications. We then used a regularized logistic regression to select the most informative variables and created a risk score that comprises the selected variables. To evaluate the potential for generalizability of our score, we applied it on all cirrhosis-related admissions between 2010 and 2015 at an independent EMR data source of more than 18 million patients, pooled from different health-care systems with EMRs. We calculated the areas under the receiver operating characteristic curves (AUROCs) to assess prediction performance.

RESULTS

We identified 4,781 cirrhosis-related admissions at MGH/BWH hospitals, of which 778 resulted in death within 90 days of discharge. Nine variables were the most effective predictors for 90-day mortality, and these included all MELD-Na's components, as well as albumin, total cholesterol, white blood cell count, age, and length of stay. Applying our nine-variable risk score (denoted as "MELD-Plus") resulted in an improvement over MELD and MELD-Na scores in several prediction models. On the MGH/BWH 90-day model, MELD-Plus improved the performance of MELD-Na by 11.4% (0.78 [95% CI, 0.75-0.81] versus 0.70 [95% CI, 0.66-0.73]). In the MGH/BWH approximate 1-year model, MELD-Plus improved the performance of MELD-Na by 8.3% (0.78 [95% CI, 0.76-0.79] versus 0.72 [95% CI, 0.71-0.73]). Performance improvement was similar when the novel MELD-Plus risk score was applied to an independent database; when considering 24,042 cirrhosis-related admissions, MELD-Plus improved the performance of MELD-Na by 16.9% (0.69 [95% CI, 0.69-0.70] versus 0.59 [95% CI, 0.58-0.60]).

CONCLUSIONS

We developed a new risk score, MELD-Plus that accurately stratifies the short-term mortality of patients with established cirrhosis, following a hospital admission. Our findings demonstrate that using a small set of easily accessible structured variables can help identify novel predictors of outcomes in cirrhosis patients and improve the performance of widely used traditional risk scores.

摘要

背景与目的

准确评估肝硬化相关住院后的死亡风险,可使医疗服务提供者识别高危患者,并调整治疗方案以降低死亡风险。

方法

我们利用1992年至2010年间在马萨诸塞州综合医院(MGH)或布莱根妇女医院(BWH)接受治疗的314292例患者,开发了一种针对肝硬化相关住院患者的出院后死亡预测模型。我们从电子病历(EMR)中提取了68个变量,包括人口统计学信息、实验室检查值、诊断代码和用药情况。然后,我们使用正则化逻辑回归来选择最具信息量的变量,并创建了一个包含所选变量的风险评分。为了评估我们评分的可推广性,我们将其应用于2010年至2015年间来自超过1800万患者的独立EMR数据源的所有肝硬化相关住院病例,这些数据来自不同的拥有EMR的医疗系统。我们计算了受试者工作特征曲线下面积(AUROC)以评估预测性能。

结果

我们在MGH/BWH医院识别出4781例肝硬化相关住院病例,其中778例在出院后90天内死亡。九个变量是90天死亡率的最有效预测因素,其中包括终末期肝病模型钠评分(MELD-Na)的所有组成部分,以及白蛋白、总胆固醇、白细胞计数、年龄和住院时间。应用我们的九变量风险评分(称为“MELD-Plus”)在几个预测模型中比MELD和MELD-Na评分有改进。在MGH/BWH 90天模型中,MELD-Plus将MELD-Na的性能提高了11.4%(0.78 [95%置信区间,0.75 - 0.81]对0.70 [95%置信区间,0.66 - 0.73])。在MGH/BWH大约1年的模型中,MELD-Plus将MELD-Na的性能提高了8.3%(0.78 [95%置信区间,0.76 - 0.79]对0.72 [95%置信区间,0.71 - 0.73])。当将新的MELD-Plus风险评分应用于独立数据库时,性能改善类似;在考虑24042例肝硬化相关住院病例时,MELD-Plus将MELD-Na的性能提高了16.9%(0.69 [95%置信区间,0.69 - 0.70]对0.59 [95%置信区间,0.58 - 0.60])。

结论

我们开发了一种新的风险评分MELD-Plus,它能准确地对肝硬化患者住院后的短期死亡率进行分层。我们的研究结果表明,使用一小部分易于获取的结构化变量有助于识别肝硬化患者预后的新预测因素,并提高广泛使用的传统风险评分的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9390/5656314/5b864a7881b1/pone.0186301.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验