Screening for elevated serum alanine aminotransferase (ALAT) can help identifying individuals at the risks of chronic and metabolic diseases, but blood collection is invasive and cannot be widely used for investigations. Considered as simple and inexpensive screening indices, individual characteristics and anthropometric measurements can be measured in a large crowd and may be important surrogate markers for ALAT levels. This study aimed to examine the diagnostic performance of individual characteristics and anthropometric parameters as predictive factors for discerning an elevated ALAT activity among Shenzhen children and adolescents. A school-based screening study was performed from 9 high schools in Shenzhen during February 2017 and June 2018. Receiver operating characteristic curve was used to examine the diagnostic performance of each variable for detecting elevated ALAT. Altogether 7271 students aged 9–17 years were involved. The proportion of elevated ALAT greatly increased with increasing classification of BMI-z. By the sex-specific cut-offs for elevated ALAT (30 U/L boys; 19 U/L girls), BMI showed the highest area under the curve of 0.789 (95% CI 0.765–0.812) and followed by weight (0.779 [0.755–0.802]), BMI-z (0.747 [0.722–0.772]), height (0.622 [0.597–0.647]), and age (0.608 [0.584–0.632]), while height-z was not capable. With the cut-off of 67.8 kg for weight and 22.6 kg/m2 for BMI, the accuracy to identify elevated ALAT was 87.1% for weight and 82.9% for BMI. The presence of elevated ALAT was more common in overweight or obese children and adolescents. BMI and weight had the superiority of detecting elevated ALAT, followed by BMI-z, height, and age.

中文翻译：

---

个体特征和人体测量测量在检测儿童和青少年血清谷丙转氨酶升高中的诊断性能


筛查血清丙氨酸氨基转移酶 (ALAT) 升高可以帮助识别有慢性和代谢疾病风险的个体，但血液采集是侵入性的，不能广泛用于调查。个人特征和人体测量被认为是简单且廉价的筛查指标，可以在大量人群中进行测量，并且可能是 ALAT 水平的重要替代标记。本研究旨在检验个体特征和人体测量参数的诊断性能，作为辨别深圳儿童和青少年 ALAT 活性升高的预测因素。 2017 年 2 月至 2018 年 6 月期间，对深圳 9 所高中进行了一项校本筛查研究。受试者工作特征曲线用于检查每个变量检测 ALAT 升高的诊断性能。共有 7271 名 9 至 17 岁的学生参与其中。随着BMI-z分类的增加，ALAT升高的比例大大增加。根据 ALAT 升高的性别特异性截止值（30 个 U/L 男孩；19 个 U/L 女孩），BMI 显示曲线下面积最高，为 0.789（95% CI 0.765-0.812），其次是体重（0.779 [ 0.755–0.802]）、BMI-z（0.747 [0.722–0.772]）、身高（0.622 [0.597–0.647]）和年龄（0.608 [0.584–0.632]），而身高 z 则无能力。以体重 67.8 kg 和 BMI 22.6 kg/m2 为截止点，识别体重 ALAT 升高的准确度为 87.1%，BMI 为 82.9%。 ALAT 升高在超重或肥胖儿童和青少年中更为常见。 BMI 和体重在检测 ALAT 升高方面具有优势，其次是 BMI-z、身高和年龄。