Gulacti Umut, Lok Ugur, Aydin Irfan, Turgut Kasim, Yavuz Erdal, Kaya Hakan, Kafadar Hüseyin, Arslan Ebru, Sonmez Cihad, Algin Abdullah, Kurt Ercan, Ozdin Mehmet, Cem Yucetas Seyho
{"title":"炎症生物标志物在判断COVID-19严重程度中的临床价值。","authors":"Gulacti Umut, Lok Ugur, Aydin Irfan, Turgut Kasim, Yavuz Erdal, Kaya Hakan, Kafadar Hüseyin, Arslan Ebru, Sonmez Cihad, Algin Abdullah, Kurt Ercan, Ozdin Mehmet, Cem Yucetas Seyho","doi":"10.6705/j.jacme.202306_13(2).0002","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background</b>: COVID-19 infection can occur as a mild, moderate, or severe illness. How patients will be more serious has not been fully revealed so far. To investigate the role of systemic inflammation index (SII), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), mean platelet volume to platelet ratio (MPR), and neutrophil-to-lymphocyte and platelet ratio (NLPR) in determining the severity of COVID-19 patients. <b>Methods</b>: We retrospectively studied 397 patients with confirmed COVID-19 who were admitted to the emergency departments (EDs) between January and June 2020. According to the criteria recommended by World Health Organization, patients were divided into two groups as severe and non-severe cases. Demographic, clinical characteristics, and inflammation parameters of patients were evaluated. <b>Results</b>: The NLPR, SII, MPR, and PLR were significantly increased in severe COVID-19 patients compared to the non-severe patients (<i>p</i> < 0.0001, <i>p</i> = 0.0002, <i>p</i> = 0.0441 , <i>p</i> = 0.0469, respectively). On the other hand, the MPV value did not show a statistically significant difference between cases. In ROC analysis calculated for inflammatory biomarkers in the prediction of COVID-19 severity, NLPR exhibited the largest area under the curve (AUC) at 0.705, with the highest specificity (81.45%) and sensitivity (56.25%) at the optimal cut-off of 0.024 (<i>p</i> < 0.0001). SII (AUC: 0.670) was the second inflammatory parameter with high specificity (63.21%) and sensitivity (66.67%) following NLPR value (<i>p</i> = 0.0002). <b>Conclusion</b>: NLPR and SII may be new inflammatory markers to identify severe COVID-19 patients at the time of admission to the ED.</p>","PeriodicalId":14846,"journal":{"name":"Journal of acute medicine","volume":"13 2","pages":"58-64"},"PeriodicalIF":0.8000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351405/pdf/JACME-13-2-02.pdf","citationCount":"0","resultStr":"{\"title\":\"Clinical Value of Inflammatory Biomarkers in Determining Severity of COVID-19.\",\"authors\":\"Gulacti Umut, Lok Ugur, Aydin Irfan, Turgut Kasim, Yavuz Erdal, Kaya Hakan, Kafadar Hüseyin, Arslan Ebru, Sonmez Cihad, Algin Abdullah, Kurt Ercan, Ozdin Mehmet, Cem Yucetas Seyho\",\"doi\":\"10.6705/j.jacme.202306_13(2).0002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background</b>: COVID-19 infection can occur as a mild, moderate, or severe illness. How patients will be more serious has not been fully revealed so far. To investigate the role of systemic inflammation index (SII), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), mean platelet volume to platelet ratio (MPR), and neutrophil-to-lymphocyte and platelet ratio (NLPR) in determining the severity of COVID-19 patients. <b>Methods</b>: We retrospectively studied 397 patients with confirmed COVID-19 who were admitted to the emergency departments (EDs) between January and June 2020. According to the criteria recommended by World Health Organization, patients were divided into two groups as severe and non-severe cases. Demographic, clinical characteristics, and inflammation parameters of patients were evaluated. <b>Results</b>: The NLPR, SII, MPR, and PLR were significantly increased in severe COVID-19 patients compared to the non-severe patients (<i>p</i> < 0.0001, <i>p</i> = 0.0002, <i>p</i> = 0.0441 , <i>p</i> = 0.0469, respectively). On the other hand, the MPV value did not show a statistically significant difference between cases. In ROC analysis calculated for inflammatory biomarkers in the prediction of COVID-19 severity, NLPR exhibited the largest area under the curve (AUC) at 0.705, with the highest specificity (81.45%) and sensitivity (56.25%) at the optimal cut-off of 0.024 (<i>p</i> < 0.0001). SII (AUC: 0.670) was the second inflammatory parameter with high specificity (63.21%) and sensitivity (66.67%) following NLPR value (<i>p</i> = 0.0002). <b>Conclusion</b>: NLPR and SII may be new inflammatory markers to identify severe COVID-19 patients at the time of admission to the ED.</p>\",\"PeriodicalId\":14846,\"journal\":{\"name\":\"Journal of acute medicine\",\"volume\":\"13 2\",\"pages\":\"58-64\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351405/pdf/JACME-13-2-02.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of acute medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6705/j.jacme.202306_13(2).0002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"EMERGENCY MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of acute medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6705/j.jacme.202306_13(2).0002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EMERGENCY MEDICINE","Score":null,"Total":0}
引用次数: 0
摘要
背景:COVID-19感染可表现为轻度、中度或重度疾病。到目前为止,还没有完全揭示患者会如何更严重。探讨全身炎症指数(SII)、血小板/淋巴细胞比(PLR)、平均血小板体积(MPV)、平均血小板体积/血小板比(MPR)、中性粒细胞/淋巴细胞/血小板比(NLPR)在判断COVID-19患者严重程度中的作用。方法:回顾性分析2020年1月至6月急诊收治的397例确诊COVID-19患者。根据世界卫生组织推荐的标准,将患者分为重症和非重症两组。评估患者的人口学、临床特征和炎症参数。结果:重症患者NLPR、SII、MPR、PLR均显著高于非重症患者(p < 0.0001, p = 0.0002, p = 0.0441, p = 0.0469)。另一方面,MPV值在病例之间没有统计学上的显著差异。在计算炎症生物标志物预测COVID-19严重程度的ROC分析中,NLPR曲线下面积(AUC)最大,为0.705,特异性最高(81.45%),灵敏度最高(56.25%),最佳临界值为0.024 (p < 0.0001)。SII (AUC: 0.670)是继NLPR值(p = 0.0002)之后第二个特异性(63.21%)和敏感性(66.67%)较高的炎症参数。结论:NLPR和SII可能是诊断重症COVID-19患者入院时新的炎症标志物。
Clinical Value of Inflammatory Biomarkers in Determining Severity of COVID-19.
Background: COVID-19 infection can occur as a mild, moderate, or severe illness. How patients will be more serious has not been fully revealed so far. To investigate the role of systemic inflammation index (SII), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), mean platelet volume to platelet ratio (MPR), and neutrophil-to-lymphocyte and platelet ratio (NLPR) in determining the severity of COVID-19 patients. Methods: We retrospectively studied 397 patients with confirmed COVID-19 who were admitted to the emergency departments (EDs) between January and June 2020. According to the criteria recommended by World Health Organization, patients were divided into two groups as severe and non-severe cases. Demographic, clinical characteristics, and inflammation parameters of patients were evaluated. Results: The NLPR, SII, MPR, and PLR were significantly increased in severe COVID-19 patients compared to the non-severe patients (p < 0.0001, p = 0.0002, p = 0.0441 , p = 0.0469, respectively). On the other hand, the MPV value did not show a statistically significant difference between cases. In ROC analysis calculated for inflammatory biomarkers in the prediction of COVID-19 severity, NLPR exhibited the largest area under the curve (AUC) at 0.705, with the highest specificity (81.45%) and sensitivity (56.25%) at the optimal cut-off of 0.024 (p < 0.0001). SII (AUC: 0.670) was the second inflammatory parameter with high specificity (63.21%) and sensitivity (66.67%) following NLPR value (p = 0.0002). Conclusion: NLPR and SII may be new inflammatory markers to identify severe COVID-19 patients at the time of admission to the ED.