Boom R, Gonzalez C, Fridman L, Ayala J F, Realpe J L, Morales P, Quintero R
Med Decis Making. 1986 Jan-Mar;6(1):36-41. doi: 10.1177/0272989X8600600107.
The differential diagnosis between intra- and extrahepatic causes of jaundice was studied. At the "20 Noviembre" ISSSTE Hospital in Mexico City, between January 1977 and May 1984, data were collected in 1,263 jaundiced patients. To the clinical data for 1,000 of these 1,263 patients and a new set of 105 jaundiced patients, the COMIC study group algorithm was applied. The differential diagnosis between medical and surgical causes of jaundice was correct in 90% of the cases. In 85% the algorithm could also differentiate between acute and chronic disease, or between benign and malignant causes of jaundice. The COMIC algorithm was then modified and applied to the same 1,000 cases examined previously, with 96% accuracy in distinguishing medical and surgical causes of jaundice and 94% accuracy in discriminating between acute and chronic, or benign and malignant, disease. In a new set of 105 cases of jaundiced patients the modified COMIC algorithm made the correct diagnosis between intra- and extrahepatic causes for 98% of the patients, and for 93% it was also capable of distinguishing benign from malignant and acute from chronic causes of jaundice.
对黄疸的肝内和肝外病因的鉴别诊断进行了研究。在墨西哥城的“11月20日”ISSSTE医院,于1977年1月至1984年5月期间,收集了1263例黄疸患者的数据。对于这1263例患者中的1000例的临床数据以及另外105例黄疸患者,应用了COMIC研究组算法。黄疸的内科和外科病因的鉴别诊断在90%的病例中是正确的。在85%的病例中,该算法还能区分急性和慢性疾病,或黄疸的良性和恶性病因。然后对COMIC算法进行修改,并应用于之前检查的同一1000例病例,区分黄疸的内科和外科病因的准确率为96%,区分急性和慢性或良性和恶性疾病的准确率为94%。在另一组105例黄疸患者中,修改后的COMIC算法对98%的患者做出了肝内和肝外病因的正确诊断,并且对93%的患者也能够区分黄疸的良性和恶性以及急性和慢性病因。