Dr. Juan González del Castillo, Emergency Department, Hospital Clinico Universitario San Carlos. Calle Profesor Martín Lagos, s/n. 28040 Madrid, Spain.
Rev Esp Quimioter. 2023 Jun;36(3):267-274. doi: 10.37201/req/108.2022. Epub 2023 Mar 20.
The aim of the present study was to evaluate the diagnostic performance of monocyte distribution width (MDW) as a biomarker for sepsis diagnosis in severe patients attended in the Emergency Department for different conditions and not only infections.
We performed an observational study in a consecutive prospective cohort including severe patients attending the Emergency Department with different conditions. MDW and other biomarkers were determined from samples obtained during the first care of patients. The diagnostic performance of the different biomarkers was determined based on the final diagnosis at patient discharge.
One hundred two patients, with a mean age of 76.7 (SD 16.5) years were included, 53 being (51.9%) male. Among the patients included, 65 (63.7%) had an infectious disease while the remaining had other different conditions. A MDW cut-off of 20.115 provided the best accuracy to identify infected patients, with a sensitivity of 89.2 (95% CI 79.4-94.7), a specificity of 89.2 (95% CI 75.3-95.7), a positive predictive value of 93.5 (95% CI 84.6-97.5), a negative predictive value of 82.5% (95% CI 68.0-91.3), a positive likelihood ratio of 8.25 (3.26-20.91), and a negative likelihood ratio of 0.12 (0.06-0.24). The area under the receiver operating characteristic curve for infection according to MDW was 0.943 (95% CI 0.897-0.989; p<0.001).
A MDW > 20.115 may be associated with infection and could help to distinguish between infected and non-infected patients in severe patients. These results must be confirmed in new studies due to the limited patient sample included.
本研究旨在评估单核细胞分布宽度(MDW)作为诊断严重患者不同疾病(不仅仅是感染)发生脓毒症的生物标志物的诊断性能。
我们进行了一项连续前瞻性队列研究,纳入了因不同疾病就诊于急诊科的严重患者。在患者首次就诊时采集样本,测定 MDW 和其他生物标志物。根据患者出院时的最终诊断,确定不同生物标志物的诊断性能。
共纳入 102 例患者,平均年龄为 76.7(16.5)岁,其中 53 例(51.9%)为男性。在纳入的患者中,65 例(63.7%)患有感染性疾病,其余患者患有其他不同疾病。MDW 截断值为 20.115 时,对识别感染患者的准确性最佳,其灵敏度为 89.2%(95%CI 79.4-94.7),特异性为 89.2%(95%CI 75.3-95.7),阳性预测值为 93.5%(95%CI 84.6-97.5),阴性预测值为 82.5%(95%CI 68.0-91.3),阳性似然比为 8.25(3.26-20.91),阴性似然比为 0.12(0.06-0.24)。根据 MDW 对感染的受试者工作特征曲线下面积为 0.943(95%CI 0.897-0.989;p<0.001)。
MDW > 20.115 可能与感染相关,有助于区分严重患者中的感染患者和非感染患者。由于纳入的患者样本有限,这些结果需要在新的研究中进一步证实。