A-082 通过间接方法确定婴儿游离 T4 参考区间

IF 7.1 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Clinical chemistry Pub Date : 2024-10-02 DOI:10.1093/clinchem/hvae106.081
Z Wu, C Bi, E M Li, E I Schindler, M I Marcelli, E C Wong, N J Clarke
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As an alternative, indirect statistical methods may be applied to large data sets of laboratory test results to ascertain a reference interval. The Multi-Modal Decomposition (MMD) is an iterative indirect method that decomposes a mixture of multiple normal distributions into separate components using the expectation-maximization (EM) algorithm The objective of the current study, was to apply MMD to ascertain reference intervals for free T4 in infants. Methods The study population included infants ranging in age from 1 day to 60 days who had specimens submitted for free T4 testing involving equilibrium dialysis followed by LC-MS/MS in a commercial reference laboratory (Quest Diagnostics Nichols Institute, San Juan Capistrano, CA). MMD was performed on 25,271 de-identified free T4 results to establish the reference intervals that were validated by comparison against free T4 values obtained on 238 de-identified specimens submitted for acylcarnitine testing, the specimen were analyzed for TSH and only the in-range specimens were include for Free T4 reference interval analysis. Results MMD analysis demonstrated distinct reference intervals for the following ages: 0 to 6 days (1.8 - 6.1 ng/dL), 7 days to <2 weeks (1 - 4.4 ng/dL), 2 to <3 weeks (0.8 - 3.5 ng/dL), 3 to <4 weeks (0.8 - 3 ng/dL), and 4 to <8 weeks (0.7 - 2.8 ng/dL). The data did not support the use of separate intervals for male and female children. Conclusions MMD analysis demonstrated distinct reference intervals for the following ages: 0 to 6 days (1.8 - 6.1 ng/dL), 7 days to <2 weeks (1 - 4.4 ng/dL), 2 to <3 weeks (0.8 - 3.5 ng/dL), 3 to <4 weeks (0.8 - 3 ng/dL), and 4 to <8 weeks (0.7 - 2.8 ng/dL). 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引用次数: 0

摘要

背景 儿童所需的参考区间与成人不同,基于其独特的生理发育特点,往往需要多个区间才能准确反映健康儿科人群的预期结果分布。事实证明,建立儿科参考区间具有挑战性。虽然成人自愿为参考区间的建立提供生物材料,但健康儿童通常没有抽血的机会,而且儿童越小,抽血的影响就越大。因此,科学家们开始寻找其他方法来确定儿科参考区间。作为一种替代方法,间接统计方法可应用于实验室检测结果的大型数据集,以确定参考区间。多模态分解(MMD)是一种迭代间接方法,它使用期望最大化(EM)算法将多个正态分布的混合物分解成不同的成分。方法 研究对象包括年龄在 1 天到 60 天之间的婴儿,他们的标本在商业参考实验室(Quest Diagnostics Nichols Institute,加利福尼亚州圣胡安卡皮斯特拉诺)进行了平衡透析后的液相色谱-质谱联用(LC-MS/MS)游离 T4 检测。对 25,271 份去标识的游离 T4 结果进行了 MMD 分析,以确定参考区间,并与提交进行酰肉碱检测的 238 份去标识标本上获得的游离 T4 值进行比较验证。结果 MMD 分析表明以下年龄段有明显的参考区间:0至6天(1.8 - 6.1 ng/dL)、7天至2周(1 - 4.4 ng/dL)、2至3周(0.8 - 3.5 ng/dL)、3至4周(0.8 - 3 ng/dL)和4至8周(0.7 - 2.8 ng/dL)。数据不支持对男性和女性儿童使用不同的区间。结论 MMD 分析表明了以下年龄段的不同参考区间:0至6天(1.8 - 6.1 ng/dL)、7天至2周(1 - 4.4 ng/dL)、2至3周(0.8 - 3.5 ng/dL)、3至4周(0.8 - 3 ng/dL)和4至8周(0.7 - 2.8 ng/dL)。数据不支持对男性和女性儿童分别采用不同的间隔时间。
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A-082 Establishment of Infant Free T4 Reference Interval Through Indirect Methods
Background Children require reference intervals distinct from adults and, based on their unique developing physiology, several intervals are often required to accurately reflect the distribution of expected results in a healthy pediatric population. The establishment of pediatric reference intervals has proven challenging. While consenting adults volunteer to contribute their biological material towards the development of a reference interval, well children usually do not have the occasion to get blood drawn and the smaller the child, the more significant the impact of phlebotomy. For these reasons, scientists have sought out other methods for determining pediatric reference intervals. As an alternative, indirect statistical methods may be applied to large data sets of laboratory test results to ascertain a reference interval. The Multi-Modal Decomposition (MMD) is an iterative indirect method that decomposes a mixture of multiple normal distributions into separate components using the expectation-maximization (EM) algorithm The objective of the current study, was to apply MMD to ascertain reference intervals for free T4 in infants. Methods The study population included infants ranging in age from 1 day to 60 days who had specimens submitted for free T4 testing involving equilibrium dialysis followed by LC-MS/MS in a commercial reference laboratory (Quest Diagnostics Nichols Institute, San Juan Capistrano, CA). MMD was performed on 25,271 de-identified free T4 results to establish the reference intervals that were validated by comparison against free T4 values obtained on 238 de-identified specimens submitted for acylcarnitine testing, the specimen were analyzed for TSH and only the in-range specimens were include for Free T4 reference interval analysis. Results MMD analysis demonstrated distinct reference intervals for the following ages: 0 to 6 days (1.8 - 6.1 ng/dL), 7 days to <2 weeks (1 - 4.4 ng/dL), 2 to <3 weeks (0.8 - 3.5 ng/dL), 3 to <4 weeks (0.8 - 3 ng/dL), and 4 to <8 weeks (0.7 - 2.8 ng/dL). The data did not support the use of separate intervals for male and female children. Conclusions MMD analysis demonstrated distinct reference intervals for the following ages: 0 to 6 days (1.8 - 6.1 ng/dL), 7 days to <2 weeks (1 - 4.4 ng/dL), 2 to <3 weeks (0.8 - 3.5 ng/dL), 3 to <4 weeks (0.8 - 3 ng/dL), and 4 to <8 weeks (0.7 - 2.8 ng/dL). The data did not support the use of separate intervals for male and female children.
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来源期刊
Clinical chemistry
Clinical chemistry 医学-医学实验技术
CiteScore
11.30
自引率
4.30%
发文量
212
审稿时长
1.7 months
期刊介绍: Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM). The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics. In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology. The journal is indexed in databases such as MEDLINE and Web of Science.
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