血清葡萄糖-钾比率可预测冠心病监护病房住院患者的死亡率。

Revista da Associacao Medica Brasileira (1992) Pub Date : 2024-10-07 eCollection Date: 2024-01-01 DOI:10.1590/1806-9282.20240508
Fulya Avcı Demir, İbrahim Ersoy, Ahmet Şeyda Yılmaz, Gökay Taylan, Emin Erdem Kaya, Ertan Aydın, Muammer Karakayalı, Muhammed Mürsel Öğütveren, Aybike Taşdelen Acar, Şıho Hidayet
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引用次数: 0

摘要

研究目的我们的研究旨在确定血清葡萄糖-钾比值在预测冠心病监护病房患者院内死亡率中的作用:该研究是一项全国性、观察性、多中心研究,纳入了 2022 年 9 月 1 日至 2022 年 9 月 30 日期间冠心病监护病房收治的所有患者。统计分析评估了死亡率的独立预测因素。研究建立了两个模型。模型 1 包括年龄、心衰病史、慢性肾病、高血压、糖尿病和冠状动脉疾病。模型 2 除这些变量外,还包括葡萄糖-钾比率。对模型 1 和模型 2 进行了多变量回归和接收器操作特征分析,以比较模型 1 和模型 2,确定葡萄糖-钾比值是否是院内死亡率的独立预测因子:在对3157名患者的研究中,死亡率为4.3%(n=137)。年龄(p=0.002)、女性性别(p=0.004)、平均血压(p我们的研究表明,葡萄糖-钾比率可能是冠心病监护病房患者院内死亡率的重要预测指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serum glucose-potassium ratio predicts inhospital mortality in patients admitted to coronary care unit.

Objective: The aim of our study was to determine the role of serum glucose-potassium ratio in predicting inhospital mortality in coronary care unit patients.

Methods: This study used data from the MORtality in CORonary Care Units in Turkey study, a national, observational, multicenter study that included all patients admitted to coronary care units between September 1, 2022, and September 30, 2022. Statistical analyses assessed the independent predictors of mortality. Two models were created. Model 1 included age, history of heart failure, chronic kidney disease, hypertension, diabetes mellitus, and coronary artery disease. Model 2 included glucose-potassium ratio in addition to these variables. Multivariate regression and receiver operating characteristic analysis were performed to compare Model 1 and Model 2 to identify if the glucose-potassium ratio is an independent predictor of inhospital mortality.

Results: In a study of 3,157 patients, the mortality rate was 4.3% (n=137). Age (p=0.002), female gender (p=0.004), mean blood pressure (p<0.001), serum creatinine (p<0.001), C-reactive protein (p=0.002), white blood cell (p=0.002), and glucose-potassium ratio (p<0.001) were identified as independent predictors of mortality through multivariate regression analysis. The receiver operating characteristic analysis indicated that Model 2 had a statistically higher area under the curve than Model 1 (area under the curve 0.842 vs area under the curve 0.835; p<0.001). A statistically significant correlation was found between the inhospital mortality and glucose-potassium ratio (OR 1.015, 95%CI 1.006-1.024, p<0.001).

Conclusion: Our study showed that the glucose-potassium ratio may be a significant predictor of inhospital mortality in coronary care unit patients.

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