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使用临床实验室数据建立参考区间的霍夫曼方法的局限性。

Limitations of the Hoffmann method for establishing reference intervals using clinical laboratory data.

作者信息

Zhang Ying, Ma Weibo, Wang Guocheng, Lv Yaqi, Peng Yaguang, Peng Xiaoxia

机构信息

Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China; Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China.

Department of Obstetrics, Shunyi Maternal and Children's Hospital of Beijing Children's Hospital, Beijing 101300, China.

出版信息

Clin Biochem. 2019 Jan;63:79-84. doi: 10.1016/j.clinbiochem.2018.11.005. Epub 2018 Nov 9.

Abstract

OBJECTIVE

To examine the effect of different limits of acceptability on the Hoffmann method for selecting "healthy" populations from laboratory test data.

METHODS

Thyroid stimulating hormone (TSH) and free thyroxine (FT) were measured in Shunyi Maternal and Children's Hospital of Beijing Children's Hospital. The sample size of participants of TSH and FT for reference intervals (RIs) establishment was 10,864 and 10,799, respectively. RIs were calculated by Hoffmann method with different acceptable deviations (α value). The validation data was collected prospectively and the out-of-range (OOR) values were calculated to examine the applicability of RIs with different acceptable deviations. The sample size for RIs validation was 880 and 867, respectively. The RIs were considered as valid when OOR was <10%.

RESULTS

α value was set at different levels for establishing the RIs of TSH and FT. It was shown that the larger α value, the wider the RI. The RIs calculated by the Hoffmann method, under the default α value of 0.05, were much narrower than the previous findings. The OOR of both TSH and FT were far more from 10% when the α value was 0.05. In this simulation, the OOR of TSH and FT was not <10% until the α value was set as 0.55 and 0.80, respectively. The established RIs were valid for both training dataset and validation dataset.

CONCLUSIONS

It can be somewhat subjective to define the acceptable deviation when selecting "normal" reference individuals. The default value of acceptable deviation may not be applicable in some cases. It is necessary to determine the acceptable deviation based on the certain condition, instead of using the default value directly.

摘要

目的

探讨不同可接受限度对从实验室检测数据中选择“健康”人群的霍夫曼方法的影响。

方法

在北京儿童医院顺义妇幼保健院测定促甲状腺激素(TSH)和游离甲状腺素(FT)。建立参考区间(RI)时TSH和FT参与者的样本量分别为10864例和10799例。采用霍夫曼方法,以不同的可接受偏差(α值)计算RI。前瞻性收集验证数据,并计算超出范围(OOR)值,以检验不同可接受偏差的RI的适用性。RI验证的样本量分别为880例和867例。当OOR<10%时,RI被认为有效。

结果

在建立TSH和FT的RI时,α值设定为不同水平。结果表明,α值越大,RI越宽。在默认α值为0.05的情况下,采用霍夫曼方法计算的RI比之前的结果窄得多。当α值为0.05时,TSH和FT的OOR均远高于10%。在本模拟中,直到α值分别设定为0.55和0.80时,TSH和FT的OOR才<10%。所建立的RI对训练数据集和验证数据集均有效。

结论

选择“正常”参考个体时,定义可接受偏差可能有些主观。可接受偏差的默认值在某些情况下可能不适用。有必要根据具体情况确定可接受偏差,而不是直接使用默认值。

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