Department of Internal Medicine, Faculty of Medicine, Bursa Uludag University, Gorukle Campus, Bursa, Turkey.
Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Bursa Uludag University, Bursa, Turkey.
Sci Rep. 2024 Oct 3;14(1):22983. doi: 10.1038/s41598-024-74569-0.
Despite advancements in diagnostic modalities, delineating the etiology of fever of unknown origin (FUO) remains a significant challenge for clinicians. Notably, cases with hematological malignancies often have a poor prognosis due to delayed diagnosis. This study investigated the potential of readily obtainable laboratory markers to differentiate hematological causes from other etiologies during the early stages of FUO. A retrospective analysis was conducted on the medical records of 100 patients who fulfilled the modified FUO criteria between January 2010 and April 2023. Hematological etiologies were identified in 26 of the 100 patients. Peripheral blood neutrophil, lymphocyte, platelet counts, and the systemic immune inflammation (SII) index, were significantly lower in the hematological group compared to the non-hematological group. Conversely, serum ferritin levels were demonstrably higher in the hematological group. ROC analysis identified a neutrophil-to-ferritin ratio (NFR) cutoff value of < 8.53 as optimal for predicting hematological etiology. Subsequent multivariate analysis demonstrated that the NFR was the sole independent predictor of hematological etiology (p = 0.013).This study proposes a novel approach for early diagnosis of a potentially life-threatening subset of FUO patients. The NFR presents as an inexpensive and readily available marker for predicting hematological etiology in FUO cases.
尽管诊断方法不断进步,但明确发热原因不明(FUO)的病因仍然是临床医生面临的重大挑战。值得注意的是,由于诊断延误,血液系统恶性肿瘤患者的预后往往较差。本研究旨在探讨在 FUO 的早期阶段,利用易于获得的实验室标志物区分血液系统病因和其他病因的可能性。对 2010 年 1 月至 2023 年 4 月符合改良 FUO 标准的 100 例患者的病历进行了回顾性分析。在这 100 例患者中,有 26 例被确定为血液系统病因。与非血液系统组相比,血液系统组的外周血中性粒细胞、淋巴细胞、血小板计数和全身免疫炎症(SII)指数明显较低。相反,血液系统组的血清铁蛋白水平明显较高。ROC 分析确定中性粒细胞与铁蛋白比值(NFR)<8.53 为预测血液系统病因的最佳截断值。随后的多变量分析表明,NFR 是预测血液系统病因的唯一独立预测因子(p=0.013)。本研究提出了一种早期诊断潜在危及生命的 FUO 患者亚群的新方法。NFR 是一种廉价且易于获得的标志物,可用于预测 FUO 病例中的血液系统病因。