Gamma-glutamyl-transferase may predict COVID-19 outcomes in hospitalised patients
Gamma-glutamyl-transferase may predict COVID-19 outcomes in hospitalised patients
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DOI：
10.1111/ijcp.14933
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发表时间：
2021-10-08
影响因子：
2.6
通讯作者：
Kekilli, Murat
中科院分区：
文献类型：
--
作者：
Kasapoglu, Benan;Yozgat, Ahmet;Kekilli, Murat
目的 在本研究中，我们旨在确定入院时肝功能测试对住院的 COVID-19 患者预后的预测作用。材料和方法 在这项多中心回顾性研究中，共有 269 名住院治疗的确诊 COVID-19 成年患者（>= 18 岁）入组。研究参与者入院时的人口统计学特征、完整病史和实验室检查结果均从病历中获得。根据患者住院期间的重症监护病房 (ICU) 需求对患者进行分组。结果 269 名参与者中，106 人入住 ICU，66 人死亡。 ICU 住院患者的年龄比病房住院的患者年龄大 (P = .001)，过期患者比活着的患者年龄大 (P = .001)。年龄、入院时血清D-二聚体、肌酐和γ-谷氨酰转移酶（GGT）水平升高是预测COVID-19患者ICU住院和死亡率的独立因素。结论 总之，在住院的 COVID-19 患者中，入院时的实验室数据，包括血清、肌酐、GGT 和 d-二聚体水平，对 ICU 需求和死亡率具有重要的预测作用。由于这些测试在所有医院都很容易获得并且价格低廉，因此可以在入院时使用这些参数计算一些预测公式，以确定需要重症监护的患者。
Aim In this study, we aimed to define the predictive role of liver function tests at admission to the hospital in outcomes of hospitalised patients with COVID-19. Material and Method In this multicentric retrospective study, a total of 269 adult patients (>= 18 years of age) with confirmed COVID-19 who were hospitalised for the treatment were enrolled. Demographic features, complete medical history and laboratory findings of the study participants at admission were obtained from the medical records. Patients were grouped regarding their intensive care unit (ICU) requirements during their hospitalisation periods. Results Among all 269 participants, 106 were hospitalised in the ICU and 66 died. The patients hospitalised in ICU were older than patients hospitalised in wards (P = .001) and expired patients were older than alive patients (P = .001). Age, elevated serum D-dimer, creatinine and gamma-glutamyl transferase (GGT) levels at admission were independent factors predicting ICU hospitalisation and mortality in COVID-19 patients. Conclusion In conclusion, in hospitalised patients with COVID-19, laboratory data on admission, including serum, creatinine, GGT and d-dimer levels have an important predictive role for the ICU requirement and mortality. Since these tests are readily available in all hospitals and inexpensive, some predictive formulas may be calculated with these parameters at admission, to define the patients requiring intensive care.