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PALIAR 指数在晚期非肿瘤性慢性疾病患者中的外部验证。

External validation of the PALIAR index for patients with advanced, nononcologic chronic diseases.

机构信息

Internal Medicine Department, Hospital Ernest Lluch, Calatayud, Spain.

Research Group on Comorbidity and Polyphatology in Aragón, Aragón Health Sciences Institute, Avda San Juan Bosco 13 (CIBA), 50009, Zaragoza, Spain.

出版信息

Aging Clin Exp Res. 2019 Mar;31(3):393-402. doi: 10.1007/s40520-018-0980-3. Epub 2018 Jun 6.

Abstract

OBJECTIVE

To externally validate the PALIAR index for patients with advanced, nononcologic chronic diseases.

METHODS

We performed a prospective, multicenter cohort study that included patients with advanced, nononcologic chronic diseases hospitalized in internal medicine departments and treated consecutively by the researchers between July 1st and December 31st, 2014. Data were collected from each patient on age, sex, advanced disease, Charlson index, comorbidities, Barthel index, terminal illness symptoms, need for caregiver, hospitalization in the past 3 and 12 months and number of drugs. We calculated the PALIAR index and conducted a 6-month follow-up. To analyze the association between the variables and mortality, we constructed several multivariate logistic regression models.

RESULTS

The study included 295 patients with a mean age of 82.7 (8.6) years, 148 (50.2%) of whom were women. Mortality at 6 months was associated with the albumin level (OR 0.52, 95% CI 0.30-0.85, p = 0.011), and the terminal illness (OR 2.75, 95% CI 1.55-4.89, p = 0.001). The PALIAR index showed good discrimination for predicting mortality (statistical C, 0.728, 95% CI 0.670-0.787). A reduced version of the PALIAR index showed similar mortality discriminatory power.

CONCLUSIONS

The PALIAR index is a reliable tool for predicting mortality in patients with advanced, nononcologic chronic diseases.

摘要

目的

对外验证 PALIAR 指数在晚期非肿瘤性慢性疾病患者中的适用性。

方法

我们进行了一项前瞻性、多中心队列研究,纳入了 2014 年 7 月 1 日至 12 月 31 日期间,因晚期非肿瘤性慢性疾病在内科住院且由研究者连续治疗的患者。从每位患者收集年龄、性别、晚期疾病、Charlson 指数、合并症、巴氏指数、终末期疾病症状、是否需要护理人员、过去 3 个月和 12 个月的住院情况和用药数量等数据。我们计算了 PALIAR 指数并进行了 6 个月随访。为了分析变量与死亡率之间的关系,我们构建了几个多变量逻辑回归模型。

结果

该研究共纳入 295 例患者,平均年龄为 82.7(8.6)岁,其中 148 例(50.2%)为女性。6 个月时的死亡率与白蛋白水平(OR 0.52,95%CI 0.30-0.85,p=0.011)和终末期疾病(OR 2.75,95%CI 1.55-4.89,p=0.001)相关。PALIAR 指数对预测死亡率具有良好的区分度(统计 C,0.728,95%CI 0.670-0.787)。简化版的 PALIAR 指数具有相似的死亡率预测能力。

结论

PALIAR 指数是预测晚期非肿瘤性慢性疾病患者死亡率的可靠工具。

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