用于预测急性肺栓塞患者死亡率和再入院率的 Charlson 和 Elixhauser 合并症指数。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Alexander O'Hara, Jacob Pozin, Mohammed Abourahma, Ryan Gigstad, Danny Torres, Benji Knapp, Bulent Kantarcioglu, Jawed Fareed, Amir Darki
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引用次数: 0

摘要

有几种风险分层系统可帮助临床医生对肺栓塞(PE)的严重程度和预后进行分类。我们比较了两种临床 PE 评分系统(PESI 和 sPESI 评分)和两种合并症指数(Charlson 合并症指数 (CCI) 和 Val Walraven Elixhauser 合并症指数 (ECI)),以确定每种指数在预测死亡率和再入院率方面的效用。通过回顾性病历审查收集了 436 名 PE 患者的信息。计算了每位患者的 PESI、sPESI、CCI 和 ECI 分数。多变量分析用于确定每种系统预测院内死亡率、90 天死亡率、总死亡率和全因再入院率的能力。此外,还评估了每位患者的各种人口统计学特征和临床特征对这些结果的影响。结果发现,PESI 评分是院内死亡率和 90 天死亡率的独立预测因子。PESI 评分和 CCI 能够独立预测总死亡率。四项风险评分均不能独立预测再入院情况。其他因素包括低白蛋白血症、血清 BNP、凝血功能障碍、贫血和糖尿病,这些因素与不同终点的死亡率和再入院率增加有关。PESI 评分是预测任何终点死亡率的最佳工具。CCI在预测长期预后方面可能有用。要更好地确定 CCI 和 ECI 在预测 PE 患者预后方面的作用,还需要进一步的研究。此外,PE发生时血清白蛋白低和贫血对预后的潜在影响也值得进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Charlson and Elixhauser Comorbidity Indices for Prediction of Mortality and Hospital Readmission in Patients With Acute Pulmonary Embolism.

Several risk stratification systems aid clinicians in classifying pulmonary embolism (PE) severity and prognosis. We compared 2 clinical PE scoring systems, the PESI and sPESI scores, with 2 comorbidity indices, the Charlson Comorbidity Index (CCI) and the val Walraven Elixhauser Comorbidity Index (ECI), to determine the utility of each in predicting mortality and hospital readmission. Information was collected from 436 patients presenting with PE via retrospective chart review. The PESI, sPESI, CCI, and ECI scores were calculated for each patient. Multivariate analysis was used to determine each system's ability to predict in-hospital mortality, 90-day mortality, overall mortality, and all-cause hospital readmission. The impact of various demographic and clinical characteristics of each patient on these outcomes was also assessed. The PESI score was found to be an independent predictor of in-hospital mortality and 90-day mortality. The PESI score and the CCI were able to independently predict overall mortality. None of the 4 risk scores independently predicted hospital readmission. Other factors including hypoalbuminemia, serum BNP, coagulopathy, anemia, and diabetes were associated with increased mortality and readmission at various endpoints. The PESI score was the best tool for predicting mortality at any endpoint. The CCI may have utility in predicting long-term outcomes. Further work is needed to better determine the roles of the CCI and ECI in predicting patient outcomes in PE. The potential prognostic implications of low serum albumin and anemia at the time of PE also warrant further investigation.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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