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利用大数据分析的力量——使用 RefineR 算法估计巴基斯坦新生儿血清 TSH 的参考区间。

Harnessing the Power of Big Data Analytics-Estimation of Reference Intervals for Neonatal Serum TSH in Pakistan Using RefineR Algorithm.

机构信息

Clinical Laboratories, The Aga Khan University Hospital, Karachi, Pakistan.

Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Karachi, Pakistan.

出版信息

J Coll Physicians Surg Pak. 2024 Jul;34(7):775-779. doi: 10.29271/jcpsp.2024.07.775.

DOI:10.29271/jcpsp.2024.07.775
PMID:38978239
Abstract

OBJECTIVE

To estimate the population-specific reference intervals (RIs) for neonatal thyroid stimulating hormone (TSH) in Pakistani neonates, utilising the refineR algorithm.

STUDY DESIGN

Observational study. Place and Duration of the Study: Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Karachi, Pakistan, from 17th May to 30th November 2023.

METHODOLOGY

A data mining analysis was conducted on serum TSH results of neonates (≤1 month) over a period of six years, following approval from the Institutional Ethical Review Committee. Two subgroups were assessed based on the age as 0 - 5 days and 6 - 30 days. The refineR algorithm was implemented using refineR package (version 1.0.0), ensuring accurate analysis and insights.

RESULTS

A total of non-duplicate 82,299 neonatal serum TSH tests were retrieved, including 70,788 (88%) aged 0 - 5 days and 11,511 (12%) aged ranging from 6 - 30 days. The estimated RI was from 0.67 µIU/mL (90% CI 0.641 - 0.72) to 15.0 µIU/mL (90% CI 13.2 - 17.3) for the first age group and 0.65 µIU/mL (90% CI 0.6 - 0.84) to 8.6 µIU/mL (90% CI 8.05 - 9.71) for the second age group.

CONCLUSION

Reference intervals for neonatal serum TSH of the Pakistani population were estimated, considering the genetic differences of this demographic in comparison to the Western population. Results aligned with global literature, validating the refineR indirect approach's applicability.

KEY WORDS

Reference intervals, Neonatal, Thyroid stimulating hormone, RefineR algorithm, Big data, Pakistan.

摘要

目的

利用 refineR 算法估计巴基斯坦新生儿甲状腺刺激素(TSH)的人群特异性参考区间(RI)。

研究设计

观察性研究。研究地点和时间:巴基斯坦卡拉奇 Aga Khan 大学医院病理与检验科,2023 年 5 月 17 日至 11 月 30 日。

方法

在获得机构伦理审查委员会批准后,对过去六年中新生儿(≤1 个月)的血清 TSH 结果进行了数据挖掘分析。根据年龄将新生儿分为 0-5 天和 6-30 天两个亚组。使用 refineR 包(版本 1.0.0)实施 refineR 算法,以确保准确的分析和见解。

结果

共检索到 82299 例非重复新生儿血清 TSH 检测,其中 70788 例(88%)年龄为 0-5 天,11511 例(12%)年龄为 6-30 天。第一个年龄组的估计 RI 为 0.67µIU/mL(90%CI 0.641-0.72)至 15.0µIU/mL(90%CI 13.2-17.3),第二个年龄组的 RI 为 0.65µIU/mL(90%CI 0.6-0.84)至 8.6µIU/mL(90%CI 8.05-9.71)。

结论

考虑到与西方人群相比,该人群的遗传差异,估计了巴基斯坦新生儿血清 TSH 的参考区间。结果与全球文献一致,验证了 refineR 间接方法的适用性。

关键词

参考区间,新生儿,甲状腺刺激素,refineR 算法,大数据,巴基斯坦。

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