Lindberg G, Björkman A, Knill-Jones R P
Scand J Gastroenterol Suppl. 1987;128:180-9. doi: 10.3109/00365528709090989.
A computer system for probabilistic diagnosis of jaundice was tested on a patient sample from a geographical area different from that for which it was first constructed. 144 consecutive patients with jaundice seen in two Stockholm hospitals were interviewed and examined to record a total of 82 indicants from history, demographic details, physical findings and laboratory tests. Data were compared with those of 319 jaundiced patients previously interviewed and examined at different London hospitals. It was found that disease incidences were different in the two patient samples. There were more patients with acute viral hepatitis, chronic active hepatitis and primary biliary cirrhosis in the London data base whereas the Stockholm data base included significantly more patients with Gilbert's syndrome and alcoholic cirrhosis. Indicant frequencies, standardised for disease incidence, differed with respect to age (Stockholm patients were on average six years older), time from onset of first symptom to hospital admission (Stockholm patients had on average a two-week shorter history of disease) and a number of symptoms such as nausea, vomiting, anorexia, weight loss, itching, pale stools and dark urine which were more frequent among the London patients. Differences in hospital admission policy was regarded as an important reason for the differences in indicant frequency. The results of probabilistic diagnosis were poor. Only 49% of the cases were correctly classified into twelve diagnostic groups. In particular the computer model was poor at separating different causes of malignant bile duct obstruction and at differentiating between malignant and benign bile duct obstruction. However, all cases of acute viral hepatitis were correctly classified and the computer model was 87% accurate in differentiating between medical and surgical jaundice. Reclassification of the 144 patients on their own data showed the computer system to be well calibrated and 97% of the cases were correctly classified according to this procedure. In conclusion, the computer system could not be directly transferred for use in a Swedish hospital but the results of reclassification were sufficiently encouraging to warrant prospective studies.
一个用于黄疸概率诊断的计算机系统,在来自与最初构建时不同地理区域的患者样本上进行了测试。对在斯德哥尔摩两家医院就诊的144例连续黄疸患者进行了访谈和检查,以记录来自病史、人口统计学细节、体格检查结果和实验室检查的总共82项指标。将这些数据与之前在伦敦不同医院接受访谈和检查的319例黄疸患者的数据进行了比较。结果发现,两个患者样本中的疾病发病率不同。伦敦数据库中有更多急性病毒性肝炎、慢性活动性肝炎和原发性胆汁性肝硬化患者,而斯德哥尔摩数据库中吉尔伯特综合征和酒精性肝硬化患者明显更多。针对疾病发病率进行标准化后的指标频率,在年龄方面存在差异(斯德哥尔摩患者平均年龄大6岁)、从首次症状出现到入院的时间方面存在差异(斯德哥尔摩患者的疾病史平均短两周),以及在一些症状方面存在差异,如恶心、呕吐、厌食、体重减轻、瘙痒、大便苍白和尿液深色,这些症状在伦敦患者中更为常见。医院入院政策的差异被认为是指标频率差异的一个重要原因。概率诊断的结果很差。只有49%的病例被正确分类到12个诊断组中。特别是计算机模型在区分恶性胆管梗阻的不同原因以及区分恶性和良性胆管梗阻方面表现不佳。然而,所有急性病毒性肝炎病例都被正确分类,并且计算机模型在区分内科黄疸和外科黄疸方面的准确率为87%。根据自身数据对这144例患者进行重新分类显示,计算机系统校准良好,按照此程序97%的病例被正确分类。总之,该计算机系统不能直接转移到瑞典医院使用,但重新分类的结果足以令人鼓舞,值得进行前瞻性研究。