Lipid-to-neutrophil ratios in predicting in-hospital outcomes in pulmonary thromboembolism

脂质与中性粒细胞比值在预测肺血栓栓塞住院预后中的作用

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Abstract

INTRODUCTION: Acute pulmonary thromboembolism (PTE) is one of the leading causes of death and severe disability. Considering the impact of inflammation and lipid profile on prevalence and prognosis of deep vein thrombosis and PTE, this study was conducted to assess the predictive value of lipid-to-neutrophil count ratios for the short-term survival of PTE patients. METHODS: This study is an analytical cross-sectional study. Data regarding the demographics, past medical history, vital signs, laboratory variables, and the outcomes of hospitalization were gathered from the Tabriz PTE registry. The receiver operating characteristics (ROC) curve and area under curve (AUC) were utilized for assessing the prognostic values. SPSS 26 was used for all of the statistical analysis. RESULTS: The population of this analytical cross-sectional study consists of 547 PTE patients of which 41 patients (7.5%) died during hospitalization. There was a significant difference between death and survived groups regarding cholesterol (146.00[60.50] vs. 165.50[59.75]; p-value<0.01), LDL (80.00[48.00] vs. 102.00[52.00]; p-value<0.01), HDL (31.00[19.00] vs. 35.00[14.00]; p-value=0.04). Cholesterol/neutrophil*1000 with a cut-off value of 22.014 (sensitivity: 56.7%; specificity: 61.3%), LDL/neutrophil*1000 with a cut-off value of 10.909 (sensitivity: 69.3%; specificity: 51.9%) and HDL/neutrophile *1000 with a cut-off value of 4.150 (sensitivity: 61.9%; specificity: 58.1%) can predict short-term survival in patients with acute PTE. CONCLUSION: Based on our findings, patients with higher cholesterol/neutrophil, LDL/neutrophil, and HDL/neutrophil ratios have a better in-hospital prognosis and measurement of lipid-to-neutrophil ratio in the first 24 hours of hospitalization may be a valuable marker for determining the early prognosis of PTE. However, additional clinical studies are suggested for a more definitive conclusion.

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