4.5 Article

Neutrophil-Lymphocyte Ratio in Predicting Infective Endocarditis: A Case-Control Retrospective Study

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MEDIATORS OF INFLAMMATION
卷 2020, 期 -, 页码 -

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HINDAWI LTD
DOI: 10.1155/2020/8586418

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资金

  1. National Natural Science Foundation of China [31700086, 81702819, 81903052, 81603208]
  2. WU JIEPING Medical Foundation [LCYX-Q001, 320.6750.19090-11]

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Background. Infective endocarditis (IE) is a complex infectious disease with high morbidity and mortality. The inflammation mechanism of IE is a complex network including interactions of inflammatory cytokines and other components of host response. As an important inflammation marker, the prediction ability of neutrophil-to-lymphocyte ratio (NLR) in IE deserves further investigation. Methods. NLR values were measured and compared between IE patients and healthy controls, good and bad clinical outcome groups. The receiver operating characteristic curves (ROCs) of NLR and cut-off values were measured in IE patients, pathogen-subgroups, and different clinical outcome groups. Results. There were 678 IE patients and 2520 healthy controls enrolled in our study. The number of good and bad clinical outcome patients was 537 and 141, respectively. The value of NLR was significantly higher in IE patients than healthy controls (6.29 +/- 9.36 vs. 1.87 +/- 0.34, p<0.001), and the area under the ROC (AUC) was 0.817 (95% CI (0.794, 0.839), p<0.001). The critical value of NLR for diagnosis of IE was 2.68, with a sensitivity of 69%, and a specificity of 88%. The value of NLR was significantly higher in bad clinical outcome patients than in good clinical outcome patients (5.8 +/- 6.02 vs. 3.62 +/- 2.61, p<0.001). The critical value of NLR to predict the outcome of IE was 5.557, with a sensitivity of 39.0% and a specificity of 85.3%. Conclusions. NLR is a predictive marker for IE patients, especially in Gram-negative bacteria and Gram-positive bacteria-infected IE patients. NLR also can predict the outcome of IE. Early detecting NLR upon admission may assist in early diagnosis and risk stratification of patients with IE.

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