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一项回顾性横断面研究,旨在预测血清天冬氨酸氨基转移酶水平≥3000 U/L 的患者 72 小时死亡率。

A retrospective cross-sectional study for predicting 72-h mortality in patients with serum aspartate aminotransferase levels ≥ 3000 U/L.

机构信息

Nara Medical University, 840 Shijo-Cho, Kashihara-shi, Nara, Japan.

Division of General Medicine, Department of Comprehensive Medicine 1, Saitama Medical Center, Jichi Medical University, 1-847, Amanuma-cho, Omiya-ku, Saitama-shi, Saitama, 330-8503, Japan.

出版信息

Sci Rep. 2021 Jan 12;11(1):800. doi: 10.1038/s41598-020-79435-3.

Abstract

Risk factors associated with 72-h mortality in patients with extremely high serum aspartate aminotransferase levels (AST; ≥ 3000 U/L) are unknown. This single-centre, retrospective, case-controlled, cross-sectional study obtained data from medical records of adult patients treated at Saitama Medical Center, Japan, from 2005 to 2019. We conducted a multivariate logistic after adjusting for age, sex, height, weight, body mass index, Brinkman Index, vital signs, biochemical values, updated Charlson Comorbidity Index (CCI) score, CCI components, and underlying causes. A logistic regression model with selected validity risks and higher C-statistic for predicting 72-h mortality was established. During the 15-year period, 428 patients (133 non-survivors and 295 survivors [cases and controls by survival < 72 and ≥ 72 h, respectively]) with AST levels ≥ 3000 U/L were identified. The 72-h mortality rate was 133/428 (31.1%). The model used for predicting 72-h mortality through the assessment of alkaline phosphatase, creatine kinase, serum sodium, potassium, and phosphorus levels had a C-statistic value of 0.852 (sensitivity and specificity, 76.6%). The main independent risk factors associated with 72-h mortality among patients with AST levels ≥ 3000 U/L included higher serum values of alkaline phosphatase, creatine kinase, serum sodium, potassium, and phosphorus.

摘要

极高血清天门冬氨酸转氨酶水平(AST;≥3000 U/L)患者 72 小时死亡率的相关风险因素尚不清楚。这项单中心、回顾性、病例对照、横断面研究从日本埼玉医疗中心的成年患者的病历中获取了数据,时间为 2005 年至 2019 年。我们在调整了年龄、性别、身高、体重、体重指数、Brinkman 指数、生命体征、生化值、更新的 Charlson 合并症指数(CCI)评分、CCI 成分和潜在病因后,进行了多变量逻辑回归分析。建立了一个具有选择有效性风险和更高 C 统计量的逻辑回归模型,用于预测 72 小时死亡率。在 15 年期间,确定了 428 名 AST 水平≥3000 U/L 的患者(133 名非幸存者和 295 名幸存者[根据生存时间<72 和≥72 小时分别为病例和对照])。72 小时死亡率为 133/428(31.1%)。用于通过评估碱性磷酸酶、肌酸激酶、血清钠、钾和磷水平来预测 72 小时死亡率的模型的 C 统计值为 0.852(灵敏度和特异性分别为 76.6%)。与 AST 水平≥3000 U/L 患者 72 小时死亡率相关的主要独立风险因素包括碱性磷酸酶、肌酸激酶、血清钠、钾和磷的血清值较高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f592/7804105/ad26fcde9b29/41598_2020_79435_Fig1_HTML.jpg

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