CAJ | 학술논문

目的：探讨发热特征在不明原因发热(fever of unknown origin，FUO)诊断中的作用。方法回顾性分析2009年1月-2010年12月本院发热疾病科符合经典FUO诊断标准患者368例的临床资料。结果 FUO疾病谱中感染性疾病、结缔组织病、恶性肿瘤在发热特征上均具有各自的特征，差异有统计学意义，包括病程(P=0.014)、热型(P＜0.001)、最高体温(P=0.036)、发热发作的时间(P＜0.001)，是否伴有畏寒、寒战(P＜0.001)；Logistic多元回归分析筛选出与感染性疾病相关的四个独立影响因子为病程、发热发作的时间、畏寒、寒战；泌尿系感染、细菌性心内膜炎、淋巴瘤具有独特的热型特征。结论发热特征分析是FUO诊断的重要线索和手段。
목적：탐토발열특정재불명원인발열(fever of unknown origin，FUO)진단중적작용。방법회고성분석2009년1월-2010년12월본원발열질병과부합경전FUO진단표준환자368례적림상자료。결과 FUO질병보중감염성질병、결체조직병、악성종류재발열특정상균구유각자적특정，차이유통계학의의，포괄병정(P=0.014)、열형(P＜0.001)、최고체온(P=0.036)、발열발작적시간(P＜0.001)，시부반유외한、한전(P＜0.001)；Logistic다원회귀분석사선출여감염성질병상관적사개독립영향인자위병정、발열발작적시간、외한、한전；비뇨계감염、세균성심내막염、림파류구유독특적열형특정。결론발열특정분석시FUO진단적중요선색화수단。
Objective To study the role of fever features in diagnosis of fever with unknown origin (FUO).Methods Clinical data about 368 FUO patients admitted to our department from January 2009 to December 2010 were retrospectively analyzed. Results The features of fever course, type, highest temperature, time, and chilly, shiver were different in FUO patients (P<0.05). Multivariate logistic regression analysis showed that fever course and time, chilly and shiver, urinary tract infection, bacterial endocarditis and lymphoma were the independent risk factors for FUO.Conclusion Analysis of fever features is an important clue and way for the diagnosis of FUO.