Division of Endoscopy and Ultrasonography, Department of Clinical Pathology and Laboratory Medicine, Kawasaki Medical School General Medical Center, Okayama, Japan,
Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Digestion. 2023;104(6):446-459. doi: 10.1159/000531646. Epub 2023 Aug 3.
Length of stay (LOS) in hospital affects cost, patient quality of life, and hospital management; however, existing gastrointestinal bleeding models applicable at hospital admission have not focused on LOS. We aimed to construct a predictive model for LOS in acute lower gastrointestinal bleeding (ALGIB).
We retrospectively analyzed the records of 8,547 patients emergently hospitalized for ALGIB at 49 hospitals (the CODE BLUE-J Study). A predictive model for prolonged hospital stay was developed using the baseline characteristics of 7,107 patients and externally validated in 1,440 patients. Furthermore, a multivariate analysis assessed the impact of additional variables during hospitalization on LOS.
Focusing on baseline characteristics, a predictive model for prolonged hospital stay was developed, the LONG-HOSP score, which consisted of low body mass index, laboratory data, old age, nondrinker status, nonsteroidal anti-inflammatory drug use, facility with ≥800 beds, heart rate, oral antithrombotic agent use, symptoms, systolic blood pressure, performance status, and past medical history. The score showed relatively high performance in predicting prolonged hospital stay and high hospitalization costs (area under the curve: 0.70 and 0.73 for derivation, respectively, and 0.66 and 0.71 for external validation, respectively). Next, we focused on in-hospital management. Diagnosis of colitis or colorectal cancer, rebleeding, and the need for blood transfusion, interventional radiology, and surgery prolonged LOS, regardless of the LONG-HOSP score. By contrast, early colonoscopy and endoscopic treatment shortened LOS.
At hospital admission for ALGIB, our novel predictive model stratified patients by their risk of prolonged hospital stay. During hospitalization, early colonoscopy and endoscopic treatment shortened LOS.
住院时间(LOS)会影响成本、患者生活质量和医院管理;然而,现有的适用于入院时的胃肠道出血模型并未关注 LOS。我们旨在构建急性下消化道出血(ALGIB)住院时间延长的预测模型。
我们回顾性分析了 49 家医院 8547 例因 ALGIB 紧急住院患者的记录(CODE BLUE-J 研究)。使用 7107 例患者的基线特征开发了住院时间延长的预测模型,并在 1440 例患者中进行了外部验证。此外,多变量分析评估了住院期间附加变量对 LOS 的影响。
基于基线特征,开发了一个预测住院时间延长的模型,即 LONG-HOSP 评分,它由低体重指数、实验室数据、年龄较大、非饮酒者、非甾体抗炎药使用、床位数≥800、心率、口服抗血栓药物使用、症状、收缩压、表现状态和既往病史组成。该评分在预测住院时间延长和高住院费用方面表现出较高的性能(分别为 0.70 和 0.73 的曲线下面积,用于推导,分别为 0.66 和 0.71 的外部验证)。接下来,我们专注于住院期间的管理。结肠炎或结直肠癌的诊断、再出血以及输血、介入放射学和手术的需要均延长了 LOS,无论 LONG-HOSP 评分如何。相比之下,早期结肠镜检查和内镜治疗可缩短 LOS。
在因 ALGIB 住院时,我们的新型预测模型可根据患者住院时间延长的风险对其进行分层。在住院期间,早期结肠镜检查和内镜治疗可缩短 LOS。