Wright William F, Wang Jiangxia, Auwaerter Paul G
Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins Biostatistics Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Open Forum Infect Dis. 2023 Feb 24;10(3):ofad104. doi: 10.1093/ofid/ofad104. eCollection 2023 Mar.
Classifying fever of unknown origin (FUO) into categorical etiologies (ie, infections, noninfectious inflammatory, oncologic, miscellaneous, and undiagnosed disorders) remains unstandardized and subject to discrepancies. As some disease classifications change, a systematic review of studies would help physicians anticipate the frequency of illness types they may encounter that could influence care.
We systematically reviewed prospective FUO studies published across the Medline (PubMed), Embase, Scopus, and Web of Science databases from January 1, 1997, to July 31, 2022. We performed a meta-analysis to estimate associated pooled proportions between the investigator-determined choice of disease category and those determined by the International Classification of Diseases, 10th edition (ICD-10), methodology.
The proportion of patients with a difference between the investigator and ICD-10-adjusted noninfectious inflammatory disorder category was 1.2% (95% CI, 0.005-0.021; < .001), and the proportion was similar for the miscellaneous category at 1.5% (95% CI, 0.007-0.025; < .001). The miscellaneous and noninfectious inflammatory disorders categories demonstrated significant across-study heterogeneity in the proportions of patients changing categories, with 52.7% ( = .007) and 51.0% ( = .010) , respectively.
Adjusting FUO-associated diagnoses by ICD-10 methodology was associated with a statistically significant risk of over- or underestimation of disease category frequency approximation when using a 5 FUO category system. An FUO diagnostic classification system that better reflects mechanistic understanding would assist future research and enhance comparability across heterogenous populations and different geographic regions. We propose an updated FUO classification scheme that streamlines categorizations, aligns with the current understanding of disease mechanisms, and should facilitate empirical decisions, if necessary.
将不明原因发热(FUO)分类为明确的病因(即感染性、非感染性炎症性、肿瘤性、杂类和未确诊疾病)仍未标准化,且存在差异。随着一些疾病分类的变化,对研究进行系统回顾将有助于医生预测他们可能遇到的疾病类型的频率,这可能会影响治疗。
我们系统回顾了1997年1月1日至2022年7月31日期间在Medline(PubMed)、Embase、Scopus和科学网数据库中发表的前瞻性FUO研究。我们进行了一项荟萃分析,以估计研究者确定的疾病类别选择与国际疾病分类第10版(ICD-10)方法确定的疾病类别之间的相关合并比例。
研究者与ICD-10调整后的非感染性炎症性疾病类别之间存在差异的患者比例为1.2%(95%CI,0.005-0.021;P<.001),杂类别的比例相似,为1.5%(95%CI,0.007-0.025;P<.001)。杂类和非感染性炎症性疾病类别在患者类别变化比例方面显示出显著的研究间异质性,分别为52.7%(P=.007)和51.0%(P=.010)。
使用5种FUO类别系统时,按照ICD-10方法调整与FUO相关的诊断,在疾病类别频率近似估计方面存在统计学上显著的高估或低估风险。一个能更好地反映机制理解的FUO诊断分类系统将有助于未来的研究,并提高不同人群和不同地理区域之间的可比性。我们提出了一个更新的FUO分类方案,该方案简化了分类,与当前对疾病机制的理解相一致,并且在必要时应有助于做出经验性决策。