Ah Ran Oh, Jungchan Park, Jong-Hwan Lee, Kwangmo Yang, Joonghyun Ahn, Seung-Hwa Lee, Sangmin Maria Lee
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Patients were divided into high and low groups according to the estimated threshold, and we compared the one-year mortality.</p><p><strong>Results: </strong>The one-year mortality of the entire sample was 4.2%. ROC analysis revealed areas under the curve of 0.796, 0.743, 0.670, and 0.708 for CAR, NLR, PLR, and mGPS, respectively. According to the estimated threshold, high CAR, NLR, PLR, and mGPS were associated with increased one-year mortality (1.7% vs. 11.7%, hazard ratio [HR]: 2.38, 95% CI [2.05, 2.76], P < 0.001 for CAR; 2.2% vs. 10.3%, HR: 1.81, 95% CI [1.62, 2.03], P < 0.001 for NLR; 2.6% vs. 10.5%, HR: 1.86, 95% CI [1.73, 2.01], P < 0.001 for PLR; and 2.3% vs. 16.3%, HR: 2.37, 95% CI [2.07, 2.72], P < 0.001 for mGPS).</p><p><strong>Conclusions: </strong>Preoperative CAR, NRL, PLR, and mGPS were associated with postoperative mortality. Our findings may be helpful in predicting mortality after non-cardiac surgery.</p>","PeriodicalId":17855,"journal":{"name":"Korean Journal of Anesthesiology","volume":" ","pages":"550-558"},"PeriodicalIF":4.2000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10718634/pdf/","citationCount":"1","resultStr":"{\"title\":\"Association between inflammation-based prognostic markers and mortality of non-cardiac surgery.\",\"authors\":\"Ah Ran Oh, Jungchan Park, Jong-Hwan Lee, Kwangmo Yang, Joonghyun Ahn, Seung-Hwa Lee, Sangmin Maria Lee\",\"doi\":\"10.4097/kja.23068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To evaluate the association between inflammation and nutrition-based biomarkers and postoperative outcomes after non-cardiac surgery.</p><p><strong>Methods: </strong>Between January 2011 and June 2019, a total of 102,052 patients undergoing non-cardiac surgery were evaluated, with C-reactive protein (CRP), albumin, and complete blood count (CBC) measured within six months before surgery. We assessed their CRP-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and modified Glasgow Prognostic Score (mGPS). We determined the best cut-off values by using the receiver operating characteristic (ROC) curves. Patients were divided into high and low groups according to the estimated threshold, and we compared the one-year mortality.</p><p><strong>Results: </strong>The one-year mortality of the entire sample was 4.2%. ROC analysis revealed areas under the curve of 0.796, 0.743, 0.670, and 0.708 for CAR, NLR, PLR, and mGPS, respectively. According to the estimated threshold, high CAR, NLR, PLR, and mGPS were associated with increased one-year mortality (1.7% vs. 11.7%, hazard ratio [HR]: 2.38, 95% CI [2.05, 2.76], P < 0.001 for CAR; 2.2% vs. 10.3%, HR: 1.81, 95% CI [1.62, 2.03], P < 0.001 for NLR; 2.6% vs. 10.5%, HR: 1.86, 95% CI [1.73, 2.01], P < 0.001 for PLR; and 2.3% vs. 16.3%, HR: 2.37, 95% CI [2.07, 2.72], P < 0.001 for mGPS).</p><p><strong>Conclusions: </strong>Preoperative CAR, NRL, PLR, and mGPS were associated with postoperative mortality. Our findings may be helpful in predicting mortality after non-cardiac surgery.</p>\",\"PeriodicalId\":17855,\"journal\":{\"name\":\"Korean Journal of Anesthesiology\",\"volume\":\" \",\"pages\":\"550-558\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10718634/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Korean Journal of Anesthesiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4097/kja.23068\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/2/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ANESTHESIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Journal of Anesthesiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4097/kja.23068","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/2/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
引用次数: 1
摘要
背景:评估炎症和基于营养的生物标志物与非心脏手术后预后之间的关系。方法:在2011年1月至2019年6月期间,共评估了102052例接受非心脏手术的患者,在术前6个月内测量了c反应蛋白(CRP)、白蛋白和全血细胞计数(CBC)。我们评估了他们的crp -白蛋白比率(CAR)、中性粒细胞-淋巴细胞比率(NLR)、血小板-淋巴细胞比率(PLR)和改良格拉斯哥预后评分(mGPS)。我们利用受试者工作特征(ROC)曲线确定最佳临界值。根据估计阈值将患者分为高、低两组,比较1年死亡率。结果:整个样本一年死亡率为4.2%。ROC分析显示,CAR、NLR、PLR和mGPS的曲线下面积分别为0.796、0.743、0.670和0.708。根据估计阈值,高CAR、NLR、PLR和mGPS与一年死亡率增加相关(1.7% vs. 11.7%,风险比[HR]: 2.38, 95% CI [2.05, 2.76], CAR的P < 0.001;2.2%比10.3%,HR: 1.81, 95% CI [1.62, 2.03], NLR P < 0.001;PLR为2.6%比10.5%,HR: 1.86, 95% CI [1.73, 2.01], P < 0.001;2.3%对16.3%,HR: 2.37, 95% CI [2.07, 2.72], mGPS组P < 0.001)。结论:术前CAR、NRL、PLR和mGPS与术后死亡率相关。我们的发现可能有助于预测非心脏手术后的死亡率。
Association between inflammation-based prognostic markers and mortality of non-cardiac surgery.
Background: To evaluate the association between inflammation and nutrition-based biomarkers and postoperative outcomes after non-cardiac surgery.
Methods: Between January 2011 and June 2019, a total of 102,052 patients undergoing non-cardiac surgery were evaluated, with C-reactive protein (CRP), albumin, and complete blood count (CBC) measured within six months before surgery. We assessed their CRP-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and modified Glasgow Prognostic Score (mGPS). We determined the best cut-off values by using the receiver operating characteristic (ROC) curves. Patients were divided into high and low groups according to the estimated threshold, and we compared the one-year mortality.
Results: The one-year mortality of the entire sample was 4.2%. ROC analysis revealed areas under the curve of 0.796, 0.743, 0.670, and 0.708 for CAR, NLR, PLR, and mGPS, respectively. According to the estimated threshold, high CAR, NLR, PLR, and mGPS were associated with increased one-year mortality (1.7% vs. 11.7%, hazard ratio [HR]: 2.38, 95% CI [2.05, 2.76], P < 0.001 for CAR; 2.2% vs. 10.3%, HR: 1.81, 95% CI [1.62, 2.03], P < 0.001 for NLR; 2.6% vs. 10.5%, HR: 1.86, 95% CI [1.73, 2.01], P < 0.001 for PLR; and 2.3% vs. 16.3%, HR: 2.37, 95% CI [2.07, 2.72], P < 0.001 for mGPS).
Conclusions: Preoperative CAR, NRL, PLR, and mGPS were associated with postoperative mortality. Our findings may be helpful in predicting mortality after non-cardiac surgery.