The Predictive Value of Serum Aldosterone Level for Coronary Artery Calcium Score in Patients with Chronic Kidney Disease: A Single-center Study.

Q4 Biochemistry, Genetics and Molecular Biology
Viktor V Semenov, Jizzo R Bosdriesz, Olexandr Kuryata
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Abstract

Patients with chronic kidney disease (CKD) have high cardiovascular risk (CVR), which is often underestimated by conventional tools. The coronary artery calcium score (CACS) significantly improves CVR stratification by conventional tools, but it is often not available in low-resources settings. Aldosterone may be a cheaper alternative to CACS for CVR assessment in CKD patients. The aim was to assess the ability of serum aldosterone level to predict CACS in patients with CKD in comparison to standard predictors. This single-center study included 57 patients aged 40 to 67 years with CKD (estimated glomerular filtration rate [eGFR] ≥45 ml/min) and arterial hypertension. Serum aldosterone, sex, age, body mass index, blood pressure, total cholesterol, eGFR, and proteinuria were used for prediction of CACS>0 Agatston units (AU) and CACS>100 AU. The area under the curve (AUC) with 95% confidence intervals (CI) and the mean Brier scores were examined for predictors of CACS. Aldosterone predicted a CACS>100 AU (AUC = 0.72, 95% CI: 0.56-0.88), but not a CACS>0 AU. Age predicted a CACS>100 AU (AUC = 0.80, 95% CI: 0.67-0.93) and a CACS>0 AU (AUC = 0.75, 95% CI: 0.62-0.89). The addition of aldosterone to age for prediction of a CACS>100 AU improved the mean Brier score, compared to the model with age alone, from 0.16 to 0.14, but not the AUC (0.83, 95% CI: 0.70-0.95). Aldosterone was a significant predictor of a CACS>100 AU in patients with CKD, but aldosterone was not a better predictor than age alone.

血清醛固酮水平对慢性肾脏病患者冠状动脉钙分的预测价值:一项单中心研究。
慢性肾脏病(CKD)患者具有较高的心血管风险(CVR),而传统工具往往低估了这一风险。冠状动脉钙评分(CACS)通过传统工具显著改善CVR分层,但在低资源环境中通常不可用。对于CKD患者的CVR评估,醛固酮可能是CACS的一种更便宜的替代品。目的是评估血清醛固酮水平与标准预测因子相比预测CKD患者CACS的能力。这项单中心研究包括57名年龄在40至67岁的CKD(估计肾小球滤过率[eGFR]≥45ml/min)和动脉高血压患者。血清醛固酮、性别、年龄、体重指数、血压、总胆固醇、eGFR和蛋白尿用于预测CACS>;0个Agaston单元(AU)和CACS>;100 AU。检查具有95%置信区间(CI)的曲线下面积(AUC)和平均Brier评分,以确定CACS的预测因素。醛固酮预测CACS>;100AU(AUC=0.72,95%CI:0.56-0.88),但不是CACS>;0 AU。年龄预测CACS>;100AU(AUC=0.80、95%CI:0.67-0.93)和CACS>;0 AU(AUC=0.75,95%CI:0.62-0.89)。在预测CACS的年龄中添加醛固酮>;与单独年龄的模型相比,100AU将平均Brier评分从0.16提高到0.14,但AUC没有提高(0.83,95%CI:0.70-0.95)。醛固酮是CACS>;CKD患者为100 AU,但醛固酮并不是比单独年龄更好的预测因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Prague medical report
Prague medical report Medicine-Medicine (all)
CiteScore
1.10
自引率
0.00%
发文量
19
审稿时长
20 weeks
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