Izmir Katip Celebi University Ataturk Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Turkey.
Izmir Katip Celebi University Ataturk Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Turkey.
Diabetes Res Clin Pract. 2018 Oct;144:118-125. doi: 10.1016/j.diabres.2018.08.009. Epub 2018 Sep 1.
The aim of the study was to evaluate the value of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) in predicting peripheral arterial disease, peripheral neuropathy, osteomyelitis and need for amputation in diabetic foot infection (DFI).
A total of 280 patients were analyzed retrospectively. The NLR, PLR and LMR were evaluated statistically in DFI.
A total of 280 patients were enrolled in the study. PLR was significantly higher in osteomyelitis and NLR was found higher in peripheral arterial disease in DFI (p = 0.008, p = 0.007). A PLR of >187.3 was calculated as the cut off value with 67.9% sensitivity and 59.1% specificity in predicting osteomyelitis. A NLR of >6.5 was calculated as the cut off with 53.3% sensitivity and 63% specificity in predicting peripheral arterial disease. NLR, PLR and LMR had a predictive value in predicting amputation in DFI (p < 0.001, p < 0.001, p = 0.006). NLR and PLR were higher in patients who required amputation than in patients who required debridement/drainage (p < 0.001, p = 0.002). NLR was significant in determining amputation levels (minor or major) (p = 0.013).
NLR can predict peripheral arterial disease and elevated PLR can predict osteomyelitis in DFI. NLR, PLR and LMR are predictive of the need for amputation in DFI.
本研究旨在评估中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和淋巴细胞与单核细胞比值(LMR)在预测糖尿病足感染(DFI)中的外周动脉疾病、周围神经病变、骨髓炎和截肢需求中的价值。
回顾性分析了 280 例患者。在 DFI 中对 NLR、PLR 和 LMR 进行了统计学评估。
共纳入 280 例患者。骨髓炎患者的 PLR 显著升高,DFI 中的外周动脉疾病患者的 NLR 较高(p=0.008,p=0.007)。PLR > 187.3 计算为预测骨髓炎的截断值,具有 67.9%的敏感性和 59.1%的特异性。NLR > 6.5 计算为预测外周动脉疾病的截断值,具有 53.3%的敏感性和 63%的特异性。NLR、PLR 和 LMR 在预测 DFI 中的截肢方面具有预测价值(p<0.001,p<0.001,p=0.006)。需要截肢的患者的 NLR 和 PLR 高于需要清创/引流的患者(p<0.001,p=0.002)。NLR 对确定截肢水平(小截肢或大截肢)具有显著意义(p=0.013)。
NLR 可预测外周动脉疾病,PLR 升高可预测 DFI 中的骨髓炎。NLR、PLR 和 LMR 可预测 DFI 中的截肢需求。