首页> 外文期刊>Clinical Chemistry: Journal of the American Association for Clinical Chemists >Prognostic value of chromogranin A at admission in critically ill patients: a cohort study in a medical intensive care unit.
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Prognostic value of chromogranin A at admission in critically ill patients: a cohort study in a medical intensive care unit.

机译:嗜铬粒蛋白A在重症患者入院时的预后价值:在医疗重症监护室进行的队列研究。

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BACKGROUND: Risk assessments of patients should be based on objective variables, such as biological markers that can be measured routinely. The acute response to stress causes the release of catecholamines from the adrenal medulla accompanied by chromogranin A (CGA). To date, no study has evaluated the prognostic value of CGA in critically ill intensive care unit patients. METHODS: We conducted a prospective study of intensive care unit patients by measuring serum procalcitonin (PCT), C-reactive protein (CRP), and CGA at the time of admission. Univariate and multivariate analyses were performed to evaluate the ability of these biomarkers to predict mortality. RESULTS: In 120 consecutive patients, we found positive correlations between CGA and the following: CRP (r(2) = 0.216; P = 0.02), PCT (r(2) = 0.396; P < 0.001), Simplified Acute Physiologic Score II (SAPS II) (r(2) = 0.438; P < 0.001), and the Logistic Organ Dysfunction System (LODS) score (r(2) = 0.374; P < 0.001). Nonsurvivors had significantly higher CGA and PCT concentrations than survivors [median (interquartile range): 293.0 microg/L (163.5-699.5 microg/L) vs 86.0 microg/L (53.8-175.3 microg/L) for CGA, and 6.78 microg/L (2.39-22.92 microg/L) vs 0.54 microg/L (0.16-6.28 microg/L) for PCT; P < 0.001 for both comparisons]. In a multivariable linear regression analysis, creatinine (P < 0.001), age (P < 0.001), and SAPS II (P = 0.002) were the only significant independent variables predicting CGA concentration (r(2) = 0.352). A multivariate Cox regression analysis identified 3 independent factors predicting death: log-normalized CGA concentration [hazard ratio (HR), 7.248; 95% confidence interval (CI), 3.004-17.487], SAPS II (HR, 1.046; 95% CI, 1.026-1.067), and cardiogenic shock (HR, 3.920; 95% CI, 1.731-8.880). CONCLUSIONS: CGA is a strong and independent indicator of prognosis in critically ill nonsurgical patients.
机译:背景:对患者的风险评估应基于客观变量,例如可以常规测量的生物学指标。对应激的急性反应引起儿茶酚胺从肾上腺髓质释放,并伴有嗜铬粒蛋白A(CGA)。迄今为止,尚无研究评估CGA在重症重症监护病房患者中的预后价值。方法:我们对重症监护病房患者入院时的血清降钙素原(PCT),C反应蛋白(CRP)和CGA进行了前瞻性研究。进行单因素和多因素分析以评估这些生物标记物预测死亡率的能力。结果:在连续120例患者中,我们发现CGA与以下各项之间呈正相关:CRP(r(2)= 0.216; P = 0.02),PCT(r(2)= 0.396; P <0.001),简化的急性生理评分II (SAPS II)(r(2)= 0.438; P <0.001)和逻辑器官功能障碍系统(LODS)得分(r(2)= 0.374; P <0.001)。非存活者的CGA和PCT浓度明显高于存活者[中位数(四分位数间距):293.0 microg / L(163.5-699.5 microg / L),而CGA为86.0 microg / L(53.8-175.3 microg / L)和6.78 microg / L (2.39-22.92 microg / L)与PCT的0.54 microg / L(0.16-6.28 microg / L);对于两个比较,P <0.001]。在多变量线性回归分析中,肌酐(P <0.001),年龄(P <0.001)和SAPS II(P = 0.002)是预测CGA浓度的唯一重要独立变量(r(2)= 0.352)。多元Cox回归分析确定了3个独立的预测死亡的因素:对数归一化的CGA浓度[危险比(HR),7.248; 95%置信区间(CI),3.004-17.487],SAPS II(HR,1.046; 95%CI,1.026-1.067)和心源性休克(HR,3.920; 95%CI,1.731-8.880)。结论:CGA是危重非手术患者预后的有力和独立指标。

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