Department of Medicine, Loyola University Medical Center, Maywood, IL, USA.
Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Clin Appl Thromb Hemost. 2024 Jan-Dec;30:10760296241253844. doi: 10.1177/10760296241253844.
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.
几种风险分层系统有助于临床医生对肺栓塞 (PE) 的严重程度和预后进行分类。我们比较了 2 种临床 PE 评分系统,即 PESI 和 sPESI 评分,以及 2 种合并症指数,即 Charlson 合并症指数 (CCI) 和 val Walraven Elixhauser 合并症指数 (ECI),以确定每种方法在预测死亡率和医院再入院方面的效用。信息是通过回顾性病历审查从 436 名患有 PE 的患者中收集的。为每位患者计算了 PESI、sPESI、CCI 和 ECI 评分。使用多变量分析来确定每个系统预测住院内死亡率、90 天死亡率、总死亡率和全因医院再入院的能力。还评估了每个患者的各种人口统计学和临床特征对这些结果的影响。发现 PESI 评分是住院内死亡率和 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。这 4 种风险评分均不能独立预测医院再入院。其他因素包括低白蛋白血症、血清 BNP、凝血障碍、贫血和糖尿病与各个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 可能对预测长期结局有用。需要进一步的工作来更好地确定 CCI 和 ECI 在预测 PE 患者结局中的作用。PE 时低血清白蛋白和贫血的潜在预后意义也值得进一步研究。