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The impact of performance status and comorbidities on the short-term prognosis of very elderly patients admitted to the ICU

机译:绩效状况和合并症对ICU录取的非常老年患者短期预后的影响

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Background Patients ≥80 years of age are increasingly being admitted to the intensive care unit (ICU). The impact of relevant variables, such comorbidities and performance status, on short-term outcomes in the very elderly is largely unknown. Few studies address the calibration of illness severity scores (SAPS3 score) within this population. We investigated the risk factors for hospital mortality in critically ill patients ≥80 years old, emphasizing performance status and comorbidities, and assessed the calibration of SAPS3 scores in this population. Methods 1129 very elderly patients admitted to a tertiary ICU in Brazil during a two-year period were retrospectively included in this study. Demographic features, reasons for admission, illness severity, comorbidities (including the Charlson Comorbidity Index) and a simplified performance status measurement were obtained. After univariate analysis, a multivariate model was created to evaluate the factors that were associated with hospital mortality. Alternatively, a conditional inference tree with recursive partitioning was constructed. Calibration of the SAPS3 scores and the multivariate model were evaluated using the Hosmer-Lemeshow test and a calibration plot. Discrimination was assessed using a receiver operating characteristics curve. Results On multivariate analysis after stepwise regression, only the SAPS3 score (OR 1.08, 95% CI 1.06-1.10), Charlson Index (OR 1.16, 95% CI 1.07-1.27), performance status (OR 1.61, 95% CI 1.05-2.64 for partially dependent patients and OR 2.39, 95% CI 1.38-4.13 for fully dependent patients) and a non-full code status (OR 11.74, 95% CI 6.22-22.160) were associated with increased hospital mortality. Conditional inference tree showed that performance status and Charlson Index had the greatest influence on patients with less severe disease, whereas a non-full code status was prominent in patients with higher illness severity (SAPS3 score >61). The model obtained after logistic regression that included the before mentioned variables demonstrated better calibration and greater discrimination capability (AUC 0.86, 95% CI 0.83-0.89 versus AUC 0.81, 95% CI 0.78-0.84, respectively; p Conclusions Performance status and comorbidities are important determinants of short-term outcome in critically ill elderly patients ≥80 years old. The addition of simple background information may increase the calibration of the SAPS3 score in this population.
机译:背景患者≥80岁,越来越多地进入重症监护股(ICU)。相关变量,这种合并性和绩效状况,在非常老年人的短期结果上的影响在很大程度上是未知数。很少有研究涉及这种人群中的疾病严重程度(SAPS3得分)的校准。我们调查了患者≥80岁,强调性能状况和合并症患者的医院死亡率的危险因素,并评估了该人群中SAPS3分数的校准。方法在这项研究中回顾了1129例在巴西在巴西入住巴西的第三次ICU的老年患者。人口统计学特征,入院原因,疾病严重程度,机理(包括Charlson合并指数)和简化的性能状态测量。在单变量分析之后,创建了一种多变量模型,以评估与医院死亡率相关的因素。或者,构建具有递归分区的条件推导树。使用Hosmer-Lemeshow测试和校准图评估SAPS3分数和多变量模型的校准。使用接收器操作特性曲线评估歧视。结果在逐步回归后的多变量分析,只有SAPS3得分(或1.08,95%CI 1.06-1.10),Charlson指数(或1.16,95%CI 1.07-1.27),性能状态(或1.61,95%CI 1.05-2.64对于完全依赖患者的部分依赖性患者和或2.39,95%CI 1.38-4.13)和非全额代码状态(或11.74,95%CI 6.22-22.160)与医院死亡率增加有关。条件推论树表明,性能状况和夏尔森指数对患有严重疾病的患者的影响最大,而非全额代码状态在患有更高的疾病严重程度(SAPS3得分> 61)中突出。在包括之前提到的变量的逻辑回归后获得的模型显示出更好的校准和更大的辨别能力(AUC 0.86,95%CI 0.83-0.89分别与AUC 0.81,95%CI 0.78-0.84分别; P结论性能状态和合并症是重要的危重老年患者≥80岁的短期结果的决定因素。添加简单的背景信息可能会增加该群体中SAPS3得分的校准。

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