• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

健康人群时间序列研究中变异的个体特征:II. 按年龄和性别划分的不同人口群体血清中临床化学分析物值的差异。

Individual character of variation in time-series studies of healthy people: II. Differences in values for clinical chemical analytes in serum among demographic groups, by age and sex.

作者信息

Williams G Z, Widdowson G M, Penton J

出版信息

Clin Chem. 1978 Feb;24(2):313-20.

PMID:627063
Abstract

Assessment of the significance of an observed set of serum chemical values for determining a person's state of health requires comparison with a set of defined reference values. We tested the assumption that a reference group of individuals, categorized by age and sex, gives a narrower range of variation than does a larger mixed population. If this were true, the demographic set would be a more sensitive reference than is the customary "normal range" for interpretation of values occurring in the individual. The ratio, R, of intra-personal to inter-personal (group) standard deviations was similar for defined age/sex classes and the overall group for 16 serum constituents. When the "raw" intra-individual variation (biological plus analytical variation) was adjusted to remove the average analytical component, the resulting R was less than 80 for all constituents except creatine kinase, which indicates that these are all particularly strong "discriminators" of individuality. These results imply the need for individual rather than population-based reference ranges, even if the latter are from persons of similar age and the same sex.

摘要

评估一组观察到的血清化学值对于确定一个人的健康状况的意义需要与一组定义的参考值进行比较。我们检验了这样一个假设,即按年龄和性别分类的个体参考组比更大的混合人群具有更窄的变异范围。如果这是真的,那么人口统计学组将比惯常的“正常范围”更敏感,用于解释个体中出现的值。对于16种血清成分,定义的年龄/性别类别和总体组的个体内标准差与个体间(组)标准差的比值R相似。当对“原始”个体内变异(生物学变异加分析变异)进行调整以去除平均分析成分时,除肌酸激酶外,所有成分的所得R均小于80,这表明这些都是个体性的特别强的“鉴别指标”。这些结果意味着需要基于个体而非人群的参考范围,即使后者来自年龄相似和性别的人。

相似文献

1
Individual character of variation in time-series studies of healthy people: II. Differences in values for clinical chemical analytes in serum among demographic groups, by age and sex.健康人群时间序列研究中变异的个体特征:II. 按年龄和性别划分的不同人口群体血清中临床化学分析物值的差异。
Clin Chem. 1978 Feb;24(2):313-20.
2
Intra-individual variation of some serum constituents and its relevance to population-based reference ranges.某些血清成分的个体内变异及其与基于人群的参考范围的相关性。
Clin Chem. 1977 May;23(5):842-50.
3
Estimates of biological variation in routinely measured biochemical analytes in clinically healthy dogs.临床健康犬常规检测生化分析物的生物学变异估计值。
Vet Clin Pathol. 2012 Dec;41(4):541-7. doi: 10.1111/j.1939-165x.2012.00473.x. Epub 2012 Oct 1.
4
Biological variability of 26 clinical chemistry analytes in elderly people.
Clin Chem. 1989 May;35(5):783-6.
5
Short-term biological variation of clinical chemical values in Dumeril's monitors (Varanus dumerili).杜氏巨蜥(Varanus dumerili)临床化学值的短期生物学变异
J Zoo Wildl Med. 2007 Jun;38(2):217-21. doi: 10.1638/1042-7260(2007)038[0217:SBVOCC]2.0.CO;2.
6
Biological variation and reference change values of common clinical chemistry and haematologic laboratory analytes in the elderly population.老年人常见临床化学和血液学实验室分析物的生物学变异和参考变化值。
Clin Chem Lab Med. 2013 Apr;51(4):851-62. doi: 10.1515/cclm-2012-0701.
7
[Biological inter- and intra-individual variations of serum immunochemical constituents and their allowable limits of analytical error].
Rinsho Byori. 1999 Sep;47(9):875-80.
8
Biological variation of 20 analytes measured in serum from clinically healthy domestic cats.对临床健康家猫血清中20种分析物的生物学变异。
J Vet Diagn Invest. 2016 Nov;28(6):699-704. doi: 10.1177/1040638716666602. Epub 2016 Sep 16.
9
Variance estimates and individuality ratios of 25 serum constituents in beagles.比格犬25种血清成分的方差估计值和个体差异率
Clin Chem. 1985 Jan;31(1):83-6.
10
Sources of variation of commonly measured serum analytes in 6 Asian cities and consideration of common reference intervals.6个亚洲城市中常见血清分析物的变异来源及通用参考区间的考量
Clin Chem. 2008 Feb;54(2):356-65. doi: 10.1373/clinchem.2007.091843. Epub 2007 Dec 18.

引用本文的文献

1
Biological variation and reference change value of the estimated glomerular filtration rate in humans: A systematic review and meta-analysis.人类估计肾小球滤过率的生物学变异和参考变化值:一项系统评价和荟萃分析。
Front Med (Lausanne). 2022 Oct 6;9:1009358. doi: 10.3389/fmed.2022.1009358. eCollection 2022.
2
Patterns of salivary analytes provide diagnostic capacity for distinguishing chronic adult periodontitis from health.唾液分析物的模式为区分慢性成人牙周炎与健康提供了诊断能力。
J Clin Immunol. 2013 Jan;33(1):271-9. doi: 10.1007/s10875-012-9771-3. Epub 2012 Aug 29.
3
Impact of time since last caloric intake on blood glucose levels.
末次热量摄入时间对血糖水平的影响。
Eur J Epidemiol. 2011 Sep;26(9):719-28. doi: 10.1007/s10654-011-9608-z. Epub 2011 Aug 6.
4
Haematocrit: within-subject and seasonal variation.血细胞比容:受试者内部及季节变化
Sports Med. 2003;33(3):231-43. doi: 10.2165/00007256-200333030-00005.
5
Effect of biological and analytical variation in cholesterol measurement on the cost-effectiveness of cholesterol-lowering therapy.胆固醇测量中生物学和分析变异对降胆固醇治疗成本效益的影响。
Pharmacoeconomics. 1992 Nov;2(5):414-21. doi: 10.2165/00019053-199202050-00009.
6
Age-related changes in laboratory test results. Clinical implications.
Drugs Aging. 1993 May-Jun;3(3):246-57. doi: 10.2165/00002512-199303030-00006.
7
Systematic underestimation of association between serum cholesterol concentration and ischaemic heart disease in observational studies: data from the BUPA study.观察性研究中血清胆固醇浓度与缺血性心脏病之间关联的系统性低估:来自保柏(BUPA)研究的数据
BMJ. 1994 Feb 5;308(6925):363-6. doi: 10.1136/bmj.308.6925.363.
8
Determinants of variation in plasma alkaline phosphatase activity: a twin study.血浆碱性磷酸酶活性变异的决定因素:一项双胞胎研究。
Am J Hum Genet. 1983 Sep;35(5):978-86.
9
Hypercholesterolaemia: setting a Dutch national standard.高胆固醇血症:制定荷兰国家标准。
Br J Gen Pract. 1992 Oct;42(363):411-4.
10
Determining clinical significance in repeated laboratory measurements. The "Clinical Delta Range".
J Med Syst. 1979;3(3-4):175-91. doi: 10.1007/BF02225112.