Evaluation of the relationship between macrophage migration inhibitory factor level and clinical course in patients with COVID-19 pneumonia.

The COVID-19 pandemic, which has ravaged our world for more than a year, still shapes our agenda with a scale of intensity that fluctuates over time. In our study, we aimed to determine the correlation between serum migration inhibitory factor (MIF) level and disease severity in COVID-19 with different prognoses. Between 15 October 2020 and 20 January 2021, 110 patients over the age of 18 who were diagnosed with COVID-19 and 40 volunteer healthcare personnel were included in our study. MIF levels were measured by enzyme-linked immunosorbent assay. In the comparison of serum MIF values in the patient and control group, it was observed that the MIF level was significantly higher in patients with both moderate and severe COVID-19 levels compared to the control group (p = 0.001, 0.001). In the comparison of serum MIF values of moderate to severe COVID-19 patients, it was observed that MIF level was higher in severe patients (p = 0.001). In the receiver operating characteristic curve analysis performed to differentiate between severe and moderate COVID-19 patients with MIF levels, the area under the curve was observed as 0.78. When the cutoff value of the MIF level was taken as 4.455 ng/ml, the sensitivity was 83% and the specificity was 62%. Failure to adequately balance the pro-inflammatory cytokines synthesized in COVID-19 with anti-inflammatory effect is the most important reason for the aggravation of the disease course. Playing a role in pro-inflammatory cytokine synthesis, MIF can provide important information about the disease prognosis in the early period.

Does Macrophage Migration Inhibitory Factor predict the prognosis of COVID-19 disease?

INTRODUCTION: The aim of this study is to investigate whether macrophage migration inhibitory factor (MIF) predicts the prognosis of COVID-19 disease. METHODOLOGY: This descriptive and cross-sectional study was conducted on 87 confirmed COVID-19 patients. The patients were separated into two groups according to the admission in the ICU or in the ward. MIF was determined batchwise in plasma obtained as soon as the patients were admitted. Both groups were compared with respect to demographic characteristics, biochemical parameters and prediction of requirement to ICU admission. RESULTS: Forty seven patients in ICU, and 40 patients in ward were included. With respect to MIF levels and biochemical biomarkers, there was a statistically significant difference between the ICU and ward patients (p< 0.024). In terms of ICU requirement, the cut-off value of MIF was detected as 4.705 (AUC:0.633, 95%CI:0.561-0.79, p= 0.037), D-dimer was 789 (AUC:0.779, 95%CI: 0.681-0.877, p= 0.000), troponin was 8.15 (AUC: 0.820, 95%CI:0.729-0.911, p= 0.000), ferritin was 375 (AUC: 0.774, 95%CI:0.671-0.876, p= 0.000), and lactate dehydrogenase (LDH) was 359.5 (AUC:0.843, 95%CI: 0.753-0.933, p= 0.000). According to the logistic regression analysis; when MIF level > 4.705, the patient's requirement to ICU risk was increased to 8.33 (95%CI: 1.73-44.26, p= 0.009) fold. Similarly, elevation of troponin, ferritin and, LDH was shown to predict disease prognosis (p< 0.05). CONCLUSIONS: Our study showed that MIF may play a role in inflammatory responses to COVID-19 through induction of pulmonary inflammatory cytokines, suggesting that pharmacotherapeutic approaches targeting MIF may hold promise for the treatment of COVID-19 pneumonia.