曾博修Bor-Show Tzang劉羿玟Yi-Wen Liu生化微生物免疫研究所2026-10-299999-12-3120202020-07-30https://handle.ncl.edu.tw/11296/539366https://scholars.csmu.edu.tw/handle/123456789/36526研究目的：　　血液感染嚴重時可能引發身體免疫系統過度反應的敗血症，進一步導致敗血性休克，本篇研究想要探討利用未成熟粒細胞、嗜中性粒細胞反應強度及嗜中性粒細胞粒度強度的生化指標改變，以早期確認病患罹患炎症與否。研究方法及資料　　本篇研究以全自動血液分析儀XN-9000對健康受測者族群個案數156人；血液培養陰性族群個案數143人；血液培養陽性族群個案數122人的血液樣本進行分析，為符合研究倫理和個人資料保護法，在資料收集後去除病患姓名及病歷號碼後再進行分析研究。研究結果：　　血液培養陰性族群與血液培養陽性族群進行受試者工作特徵曲線分析結果顯示NEUT、IG、NE-SFL、NE-WY具有統計學上的顯著差異，其中NEUT以及NE-WY曲線下的區域>0.7最佳。結論與建議：　　由於血液學發炎參數以及嗜中性球細胞數量數據目前只限於研究參考，不作為醫師體外診斷的用途，未來需要更多臨床研究成果作為作證依據，證實其作為診斷篩檢工具的可靠性。ObjectiveSevere blood infection may cause sepsis in the body's immune system overreaction, and further lead to septic shock. This study wants to explore changes in biochemical indicators that use immature granulocyte, neutrophil response intensity and neutrophil granulocyte intensity. To early confirm of whether the patient is suffering from inflammation or not.Methods and MaterialsIn this study, the blood samples of healthy test group were 156 with automatic blood analyzer XN-9000; blood samples with negative blood culture were 143; blood samples with positive blood culture were 122. The Ethics and Personal Data Protection Law removed the patient’s name and medical record number after data collection and then conducts analysis and research.ResultsThe results of receiver operating characteristic (ROC) curve analysis of blood culture-negative population and blood culture-positive population showed that there were statistically significant differences between NEUT, IG, NE-SFL, and NE-WY, and the areas under the NEUT and NE-WY curves were >0.7 optimal.Conclusion and SuggestionSince hematological inflammation parameters and neutrophil number data are currently limited to research reference, and are not used as physicians’ in vitro diagnostics, more clinical research results are needed as evidence in the future to confirm its reliability as a diagnostic screening tool.未成熟顆粒球嗜中性球反應強度嗜中性球粒度強度嗜中性球Immature granulocyteNEUT-RINEUT-GIneutrophilthesis