From the Internal Medicine Department, Hospital Costa del Sol, Marbella, Málaga, Spain.
Research Network for Health Services in Chronic Diseases (REDISSEC), Marbella, Málaga, Spain.
QJM. 2019 Nov 1;112(11):854-860. doi: 10.1093/qjmed/hcz179.
The PROFUND index (PI) is a prognostic scale for polypathological patients at 12 months. The objective of the study was to validate the PI as a predictor of 1-year mortality in a current cohort of polypathological patients and analyse its prognostic usefulness in the short-term (1 month and 3 months) after discharge from Internal Medicine.
We conducted a prospective observational study and all polypathological patients discharged from an Internal Medicine Department between 01 March 2016 and 28 February 2017 were enrolled.
The variables recorded for each patient were age, sex, diseases and diagnostic categories defining patients as polypathological patients, PI at discharge, number of hospital admissions, length of stay, vital status at 1 year, and date and place of death if applicable. Follow-up lasted 1 year from the time of enrolment.
Six hundred and ten polypathological patients were enrolled. Mortality was 41% and the patients who died were older, their length of stay was longer and their PI was higher compared with those who survived. The discrimination of the PI for predicting mortality was good, with a C-statistic of 0.718 [95% confidence interval (CI) 0.67-0.76]. In addition, a subgroup of patients with early mortality after discharge was identified, with a C-statistic of 0.74 (95% CI 0.67-0.80) at 30 days and 0.73 (95% CI 0.68-0.78) at 90 days.
The PI is a valid tool for predicting early and 1-year mortality in polypathological patients after discharge from Internal Medicine.
PROFUND 指数(PI)是一种用于预测 12 个月内多病理患者预后的量表。本研究的目的是验证 PI 作为当前多病理患者队列 1 年死亡率的预测因子,并分析其在出院后短期(1 个月和 3 个月)的预后价值。
我们进行了一项前瞻性观察性研究,纳入了 2016 年 3 月 1 日至 2017 年 2 月 28 日期间从内科出院的所有多病理患者。
记录每位患者的年龄、性别、疾病和诊断类别,以确定患者是否为多病理患者、出院时的 PI、住院次数、住院时间、1 年时的存活状态以及如果适用,死亡日期和地点。随访从入组时间开始持续 1 年。
共纳入 610 例多病理患者。死亡率为 41%,死亡患者年龄较大,住院时间较长,PI 较高。PI 对预测死亡率的区分度较好,C 统计量为 0.718(95%置信区间 0.67-0.76)。此外,还确定了一个出院后早期死亡率的亚组,其在 30 天和 90 天的 C 统计量分别为 0.74(95%置信区间 0.67-0.80)和 0.73(95%置信区间 0.68-0.78)。
PI 是一种用于预测内科出院后多病理患者早期和 1 年死亡率的有效工具。