From the Department of Locomotor System, Faculty of Medicine.
Department of Clinical and Toxicological Analysis, Faculty of Pharmacy.
J Clin Rheumatol. 2022 Apr 1;28(3):113-119. doi: 10.1097/RHU.0000000000001811.
Identification of infection in patients with systemic lupus erythematosus (SLE) is a major challenge in clinical practice.
This medical records review study evaluated clinical markers, including the performance of C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) in the diagnosis of infection in SLE patients.
One hundred four SLE patients hospitalized between 2014 and 2018 were allocated into 3 groups, namely, infection, infection and disease activity, and isolated disease activity. Groups were compared in relation to clinical and laboratory variables. Accuracy measures were calculated for CRP, NLR, and PLR.
C-reactive protein, NLR, and PLR differed between the groups with higher values observed in the infected group, intermediate values in the mixed group, and lower values in the group with isolated activity-CRP (56 vs 26 vs 15 mg/dL, p = 0.002), NLR (7.9 vs 4.0 vs 3.1, p = 0.005), and PLR (270 vs 227 vs 134, p = 0.025). Fever, tachypnea, and PLR were independently associated with infection. The cutoff points of the CRP of 20 mg/L, NLR of 3.5, and PLR of 151.4 presented values of sensitivity and specificity for the prediction of infection equal to 67% and 67%, 65% and 58%, and 71% and 53%, respectively. The developed algorithm showed a sensitivity of 86.6% and specificity of 81% for the diagnosis of infection.
The combined use of clinical and laboratory markers presented superior accuracy than their isolated use, suggesting a great potential for the application of the algorithm in clinical practice.
系统性红斑狼疮(SLE)患者的感染识别是临床实践中的一个主要挑战。
本病历回顾性研究评估了包括 C 反应蛋白(CRP)、中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)在内的临床标志物在 SLE 患者感染诊断中的表现。
将 2014 年至 2018 年间住院的 104 例 SLE 患者分为感染组、感染合并疾病活动组和单纯疾病活动组。比较了各组的临床和实验室变量。计算了 CRP、NLR 和 PLR 的准确性指标。
CRP、NLR 和 PLR 在各组之间存在差异,感染组的数值较高,混合组的数值居中,单纯活动组的数值较低(CRP:56 与 26 与 15 mg/dL,p = 0.002),NLR:7.9 与 4.0 与 3.1,p = 0.005)和 PLR(270 与 227 与 134,p = 0.025)。发热、呼吸急促和 PLR 与感染独立相关。CRP 为 20mg/L、NLR 为 3.5、PLR 为 151.4 的截断值对感染的预测具有相同的敏感性(67%)和特异性(67%)、65%和 58%、71%和 53%。开发的算法对感染的诊断具有 86.6%的敏感性和 81%的特异性。
临床和实验室标志物的联合应用比单独应用具有更高的准确性,这表明该算法在临床实践中有很大的应用潜力。