Rockall T A, Logan R F, Devlin H B, Northfield T C
Surgical Epidemiology and Audit Unit, Royal College of Surgeons of England, London.
Gut. 1996 Mar;38(3):316-21. doi: 10.1136/gut.38.3.316.
The aim of this study was to establish the relative importance of risk factors for mortality after acute upper gastrointestinal haemorrhage, and to formulate a simple numerical scoring system that categorizes patients by risk. A prospective, unselected, multicentre, population based study was undertaken using standardised questionnaires in two phases one year apart. A total of 4185 cases of acute upper gastrointestinal haemorrhage over the age of 16 identified over a four month period in 1993 and 1625 cases identified subsequently over a three month period in 1994 were included in the study. It was found that age, shock, comorbidity, diagnosis, major stigmata of recent haemorrhage, and rebleeding are all independent predictors of mortality when assessed using multiple logistic regression. A numerical score using these parameters has been developed that closely follows the predictions generated by logistical regression equations. Haemoglobin, sex, presentation (other than shock), and drug therapy (non-steroidal anti-inflammatory drugs and anticoagulants) are not represented in the final model. When tested for general applicability in a second population, the scoring system was found to reproducibly predict mortality in each risk category. In conclusion, a simple numerical score can be used to categorize patients presenting with acute upper gastrointestinal haemorrhage by risk of death. This score can be used to determine case mix when comparing outcomes in audit and research and to calculate risk standardised mortality. In addition, this risk score can identify 15% of all cases with acute upper gastrointestinal haemorrhage at the time of presentation and 26% of cases after endoscopy who are at low risk of rebleeding and negligible risk of death and who might therefore be considered for early discharge or outpatient treatment with consequent resource savings.
本研究的目的是确定急性上消化道出血后死亡风险因素的相对重要性,并制定一个简单的数字评分系统,根据风险对患者进行分类。采用标准化问卷,在相隔一年的两个阶段进行了一项前瞻性、非选择性、多中心、基于人群的研究。1993年在四个月期间确定的4185例16岁以上急性上消化道出血病例和1994年在随后三个月期间确定的1625例病例被纳入研究。研究发现,使用多因素逻辑回归评估时,年龄、休克、合并症、诊断、近期出血的主要体征和再出血都是死亡的独立预测因素。利用这些参数开发了一个数字评分系统,该系统与逻辑回归方程产生的预测结果密切相关。血红蛋白、性别、表现(休克除外)和药物治疗(非甾体抗炎药和抗凝剂)未纳入最终模型。在另一人群中测试该评分系统的普遍适用性时,发现它能够可重复地预测每个风险类别的死亡率。总之,一个简单的数字评分可用于根据死亡风险对急性上消化道出血患者进行分类。该评分可用于在审计和研究中比较结果时确定病例组合,并计算风险标准化死亡率。此外,该风险评分可在就诊时识别出15%的急性上消化道出血病例,在内镜检查后识别出26%的病例,这些病例再出血风险低且死亡风险可忽略不计,因此可考虑早期出院或门诊治疗,从而节省资源。