Within-Subject Variability in Repeated Measures of Salivary Analytes in Healthy Adults

被引:39
|
作者
Thomas, Mark V. [1 ]
Branscum, Adam [2 ]
Miller, Craig S. [3 ]
Ebersole, Jeffrey [4 ]
Al-Sabbagh, Mohanad [1 ]
Schuster, Julie L. [1 ]
机构
[1] Univ Kentucky, Dept Oral Hlth Practice, Coll Dent, Div Periodontol, Lexington, KY 40536 USA
[2] Univ Kentucky, Coll Publ Hlth, Dept Biostat, Lexington, KY 40536 USA
[3] Univ Kentucky, Coll Dent, Div Oral Diag & Oral Med, Dept Oral Hlth Practice, Lexington, KY 40536 USA
[4] Univ Kentucky, Ctr Oral Hlth Res, Lexington, KY 40536 USA
基金
美国国家卫生研究院;
关键词
Biologic markers; diagnostic tests; reproducibility of results; saliva; statistics; BIOLOGICAL VARIATION; CUSHINGS-SYNDROME; DIAGNOSTIC-ACCURACY; PERIODONTAL-DISEASE; CORTISOL; BIOMARKERS; SERUM; DEHYDRATION; PARAMETERS; SYMPTOMS;
D O I
10.1902/jop.2009.080654
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Background: Saliva contains a large number of biomolecules, some of which have putative diagnostic usefulness. A potential problem with the use of biomolecules in diagnosis is day-to-day fluctuation due to within-subject variability. This study evaluated the intraindividual variability of six salivary analytes in healthy adults and determined their normal range. Methods: Unstimulated whole saliva (5 ml) was collected every 2 to 3 days on six occasions from 30 subjects in good oral and systemic health. Four of the samples were collected in the clinic, and two were collected by the subject at home. The concentration ranges of interleukin (IL)-1 beta, IL-6, matrix metalloproteinase-8, prostaglandin E-2, tumor necrosis factor-alpha, interferon-alpha, and albumin were examined. Descriptive statistics were computed, and a one-way random-effects model was used to quantify within- and between-subject components of variability. Intraclass correlation coefficients (ICCs) were calculated for each subject/analyte combination. Results: Within-subject coefficients of variation for these analytes ranged from 67.6% to 172.1% for the in-clinic samples and from 111.9% to 201.0% for the at-home samples. The ICC for the various analytes ranged from 41% to 61% for the in-clinic samples. The at-home samples exhibited significantly more variability than did those obtained in the clinic under supervision. Conclusions: There was marked within-subject variation in the salivary concentrations of these analytes. With increased interest in salivary diagnostics, the within-subject variability, normal range, and threshold levels for abnormal levels of individual salivary analytes need to be determined if these diagnostics tests are to have clinical usefulness. J Periodontol 2009;80: 1146-1153.
引用
收藏
页码:1146 / 1153
页数:8
相关论文
共 50 条
  • [31] Motor variability: within-subject correlations during separate and simultaneous contractions
    Tracy, Brian L.
    Dinenno, Devin V.
    Jorgensen, Bjorn
    Welsh, Seth J.
    EXPERIMENTAL BRAIN RESEARCH, 2008, 189 (02) : 159 - 170
  • [32] Fukuda and Babinski-Weil tests: Within-subject variability and test-retest reliability in nondisabled adults
    Paquet, Nicole
    Taillon-Hobson, Anne
    Lajoie, Yves
    JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT, 2014, 51 (06): : 1013 - 1022
  • [33] Within-subject variability of measures of beta cell function derived from a 2 h OGTT: implications for research studies
    Utzschneider, K. M.
    Prigeon, R. L.
    Tong, J.
    Gerchman, F.
    Carr, D. B.
    Zraika, S.
    Udayasankar, J.
    Montgomery, B.
    Mari, A.
    Kahn, S. E.
    DIABETOLOGIA, 2007, 50 (12) : 2516 - 2525
  • [34] Orthodontic pain trajectories in adolescents: Between-subject and within-subject variability in pain perception
    Sandhu, Satpal S.
    Leckie, George
    AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2016, 149 (04) : 491 - +
  • [35] Within-subject variability of measures of beta cell function derived from a 2 h OGTT: implications for research studies
    K. M. Utzschneider
    R. L. Prigeon
    J. Tong
    F. Gerchman
    D. B. Carr
    S. Zraika
    J. Udayasankar
    B. Montgomery
    A. Mari
    S. E. Kahn
    Diabetologia, 2007, 50 : 2516 - 2525
  • [36] Effectiveness of Using a Digital Wearable Plantar Pressure Device to Detect Muscle Fatigue: Within-Subject, Repeated Measures Experimental Design
    Chen, Fu-Yu
    Lin, Tzu-Yao
    Huang, Yi-Cheng
    Widianawati, Evina
    JMIR HUMAN FACTORS, 2025, 12
  • [37] Within-subject variability of flow-mediated vasodilation of the brachial artery in healthy men and women: Implications for experimental studies
    De Roos, NM
    Bots, ML
    Schouten, EG
    Katan, MB
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2003, 29 (03): : 401 - 406
  • [38] Radioimmunoassay (RIA) method for salivary testosterone: Reference ranges and within-subject biological variation
    Teoh, YP
    McIntyre, H
    Wallace, M
    CLINICA CHIMICA ACTA, 2005, 355 : S272 - S273
  • [39] Representative Knee Kinematic Patterns Identification Using Within-Subject Variability Analysis
    Abid, Mariem
    Ouakrim, Youssef
    Vendittoli, Pascal-Andre
    Hagemeister, Nicola
    Mezghani, Neila
    COMPUTER METHODS, IMAGING AND VISUALIZATION IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2020, 36 : 483 - 494
  • [40] Linear and generalized linear models for the detection of QTL effects on within-subject variability
    Wittenburg, Doerte
    Guiard, Volker
    Liese, Friedrich
    Reinsch, Norbert
    GENETICS RESEARCH, 2007, 89 (04) : 245 - 257