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Gamma Glutamyl Transferase and Uric Acid Levels Can Be Associated with the Prognosis of Patients in the Pediatric Intensive Care Unit

机译:γ谷氨酰胺转移酶和尿酸水平可与小儿重症监护病房的患者预后相关

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摘要

Introduction: Gamma glutamyl transferase (GGT) and uric acid (UA) are reported to be predictive markers in various disorders. It has been reported that these biomarkers can be used to indicate increased risk of mortality in critically ill patients. Herein, we aimed to evaluate the effects of the initial serum GGT and UA levels on the outcomes of patients in the pediatric intensive care unit (PICU) and to investigate if these biomarkers can be used to predict pediatric mortality. Materials and Methods: The relationship between the initial GGT and UA levels and invasive mechanical ventilation (IMV) and noninvasive mechanical ventilation (NIV) support, inotropic drug need, acute renal kidney injury (AKI), continuous renal replacement therapy (CRRT), presence of sepsis, mortality, and hospitalization period were investigated retrospectively. Results: In all, 236 patients (117 males and 119 females) were included in the study. The age distribution of the patients was 1–12 years. There was a statistically significant relationship between GGT levels in the first biochemical analysis performed during admission and inotropic drug use, AKI, duration of hospitalization in intensive care unit, and sepsis. There was a statistically significant relationship between initial UA levels and inotropic drug use, AKI, CCRT, and sepsis. Conclusion: We suggest that initial GGT and UA levels during admission could be used to predict the outcomes of patients in PICU.
机译:简介:据报道,γ-谷氨酰转移酶(GGT)和尿酸(UA)是各种疾病的预测标记。据报道,这些生物标志物可用于指示危重患者死亡的风险增加。本文中,我们旨在评估初始血清GGT和UA水平对儿科重症监护病房(PICU)患者预后的影响,并研究这些生物标记物是否可用于预测儿科死亡率。材料和方法:初始GGT和UA水平与有创机械通气(IMV)和无创机械通气(NIV)支持,正性肌力药物需求,急性肾肾损伤(AKI),持续性肾脏替代疗法(CRRT),存在之间的关系回顾性调查败血症的发生率,死亡率和住院时间。结果:本研究共纳入236例患者(男117例,女119例)。患者的年龄分布为1-12岁。入院期间进行的首次生化分析中的GGT水平与正性肌力药物使用,AKI,重症监护病房住院时间和败血症之间存在统计学上的显着关系。 UA初始水平与正性肌力药物使用,AKI,CCRT和败血症之间存在统计学上的显着关系。结论:我们建议入院时初始GGT和UA水平可用于预测PICU患者的预后。

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