Aubert Carole Elodie, Folly Antoine, Mancinetti Marco, Hayoz Daniel, Donzé Jacques
Division of General Internal Medicine, Bern University Hospital, Bern, Switzerland.
Department of General Internal Medicine, Fribourg Cantonal Hospital, Fribourg, Switzerland.
Swiss Med Wkly. 2016 Aug 6;146:w14335. doi: 10.4414/smw.2016.14335. eCollection 2016.
The HOSPITAL score is a simple prediction model that accurately identifies patients at high risk of readmission and showed good performance in an international multicentre retrospective study. We aimed to demonstrate prospectively its accuracy to predict 30-day unplanned readmission and death.
We prospectively screened all consecutive patients aged ≥50 years admitted to the department of general internal medicine of a large community hospital in Switzerland. We excluded patients who refused to give consent, who died during hospitalisation, or who were transferred to another acute care, rehabilitation or palliative care facility. The primary outcome was the first unplanned readmission or death within 30 days after discharge. Some of the predictors of the original score (discharge from an oncology service and length of stay) were adapted according to the setting for practical reasons, before the start of patient inclusion. We also assessed a simplified version of the score, without the variable "any procedure performed during hospitalisation". The performance of the score was evaluated according to its overall accuracy (Brier score), its discriminatory power (C-statistic), and its calibration (Hosmer-Lemeshow goodness-of-fit test).
Among the 346 included patients, 40 (11.6%) had a 30-day unplanned readmission or death. The HOSPITAL score showed very good accuracy (Brier score 0.10), good discriminatory power (C-statistic 0.70, 95% confidence interval [CI] 0.62-0.79), and an excellent calibration (p = 0.77). Patients were classified into three risk categories for the primary outcome: low (59%), intermediate (20.8%) and high risk (20.2%). The estimated risks of unplanned readmission/death for each category were 8.2%, 11.3% and 21.6%, respectively. The simplified score showed the same performance, with a Brier score of 0.10, a C-statistic of 0.70 (95% CI 0.61-0.79), and a goodness-of-fit statistic of 0.40.
The HOSPITAL score prospectively identified patients at high risk of 30-day unplanned readmission or death with good performance in medical patients in Switzerland. Its simplicity and good performance make it an easy-to-use tool to target patients who might most benefit from intensive transitional care interventions.
医院评分是一种简单的预测模型,能准确识别再入院风险高的患者,且在一项国际多中心回顾性研究中表现良好。我们旨在前瞻性地证明其预测30天内非计划再入院和死亡的准确性。
我们前瞻性地筛查了瑞士一家大型社区医院普通内科收治的所有年龄≥50岁的连续患者。我们排除了拒绝给予同意的患者、住院期间死亡的患者或转至另一家急性护理、康复或姑息治疗机构的患者。主要结局是出院后30天内首次非计划再入院或死亡。出于实际原因,在纳入患者之前,根据具体情况对原始评分的一些预测因素(肿瘤科室出院情况和住院时间)进行了调整。我们还评估了一个简化版评分,不包含“住院期间进行的任何手术”这一变量。根据其总体准确性(Brier评分)、区分能力(C统计量)和校准情况(Hosmer-Lemeshow拟合优度检验)对评分的性能进行评估。
在纳入的346例患者中,40例(11.6%)在30天内发生了非计划再入院或死亡。医院评分显示出非常好的准确性(Brier评分为0.10)、良好的区分能力(C统计量为0.70,95%置信区间[CI]为0.62 - 0.79)和出色的校准情况(p = 0.77)。患者被分为主要结局的三个风险类别:低风险(59%)、中风险(20.8%)和高风险(20.2%)。每个类别的非计划再入院/死亡估计风险分别为8.2%、11.3%和21.6%。简化版评分表现相同,Brier评分为0.10,C统计量为0.70(95% CI为0.61 - 0.79),拟合优度统计量为0.40。
医院评分前瞻性地识别出瑞士内科患者中30天内非计划再入院或死亡风险高的患者,表现良好。其简单性和良好性能使其成为一种易于使用的工具,可用于确定可能从强化过渡护理干预中获益最大的患者。