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Thromb Haemost 1995; 73(02): 256-260
DOI: 10.1055/s-0038-1653761
Original Article
Coagulation
Schattauer GmbH Stuttgart

ARIC[*] Hemostasis Study-IV. Intraindividual Variability and Reliability of Hemostatic Factors

Nghia D Nguyen
2   The Department of Pathology and Laboratory Medicine, University of Texas Medical School at Houston, TX, USA
,
Habib Ghaddar
1   The Division of Hematology and Vascular Biology Research Center, University of Texas Medical School at Houston, TX, USA
,
Valarie Stinson
1   The Division of Hematology and Vascular Biology Research Center, University of Texas Medical School at Houston, TX, USA
,
Lloyd E Chambless
3   The Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
,
Kenneth K Wu
1   The Division of Hematology and Vascular Biology Research Center, University of Texas Medical School at Houston, TX, USA
2   The Department of Pathology and Laboratory Medicine, University of Texas Medical School at Houston, TX, USA
,
for the Atherosclerosis Risk in Communities (ARIC) Study Investigators › Institutsangaben
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Publikationsverlauf

Received 14. September 1994

Accepted 28. Oktober 1994

Publikationsdatum:
09. Juli 2018 (online)

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Summary

We have recently reported the short-term intraindividual variability of several coagulation factors and inhibitors included in the ARIC study (Chambless et al. Ann Epidemiol 1992; 2:723). In this paper, we reported the intraindividual variability results of additional hemostatic factors. Blood samples were collected for hemostatic assays three times at 1-2-week intervals from 39 subjects recruited from 4 ARIC field centers. The contributions of within-person, processing and assay (designated “method”) and between-person variances to the total variance were estimated and from them the reliability coefficient, R, was computed as the proportion of total variance in the between-person component. The R value was high for (β-thromboglobulin and tissue- plasminogen activator: 0.83 and 0.81, respectively; and intermediate for D-dimer and plasminogen activator inhibitor-1: 0.73 and 0.72, respectively. Protein S (total and free) and platelet factor 4 had low repeatability (R<0.50) derived mostly from “method” variability while low R value (0.03) for fibrinopeptide A was attributed to high “method” and “within-person” variability. Gender, age and the level of hemostatic factors did not influence the intraindividual variability.

*ARIC is the acronym for the Atherosclerosis Risk in Communities Study. It is a prospective epidemiologic study involving four diverse U.S. Communities, Central Laboratories, and Coordinating Center. A major component of the ARIC study is to determine the association of hemostatic factors with atherosclerosis and its clinical sequela. This paper is the fourth in a series of papers pertaining to hemostasis studies.


 

  • References

  • 1 Meade TW, Brozovic M, Chakrabarti RR. Haemostatic function and ischemic heart disease: Principal results on the Northwick Park Heart Study. Lancet 1986; 2: 533-537
    PubMedGoogle Scholar
  • 2 Wilhelmsen L, Svardsudd K, Korsan-Bengsten K. Fibrinogen as a risk factor for stroke and myocardial infarction. N Eng J Med 1984; 311: 501-505
    CrossrefPubMedGoogle Scholar
  • 3 Stone MC, Throp JM. Plasma fibrinogen - a major coronary risk factor. J R Coll Gen Pract 1985; 35: 565-693
    PubMedGoogle Scholar
  • 4 Kannel WB, Wolf PA, Castelli WP, D’Agostino RB. Fibrinogen and risk of cardiovascular disease. JAMA 1985; 258: 1183-1186
    PubMedGoogle Scholar
  • 5 Wu KK, Folsom AR, Heiss G, Davis CE, Conlan MG, Barnes R. Association of coagulation factors and inhibitors with carotid artery atherosclerosis. Early results of the Atherosclerosis Risk in Communities (ARIC) Study Ann Epidemiol 1992; 4: 471-480
    PubMedGoogle Scholar
  • 6 ARIC Investigators. The Atherosclerosis Risk in Communities (ARIC Study): Design and objectives. Am J Epidemiol. 1989 129. 687-702
    PubMedGoogle Scholar
  • 7 Papp AC, Hatzakis H, Bracey A, Wu KK. ARIC Hemostasis Study I. Development of a blood collection and processing system suitable for multicenter hemostatic studies Thromb Haemost 1989; 61: 15-19
    Artikel in Thieme ConnectPubMedGoogle Scholar
  • 8 Wu KK, Papp AC, Patsch W, Rock R, Eckfeldt J, Sharrett R. ARIC Hemostasis Study. II. Organizational plan and feasibility study. Thromb Haemost 1990; 64: 521-525
    Artikel in Thieme ConnectPubMedGoogle Scholar
  • 9 Chambless LE, McMahon R, Finch A, Sorlie P, Heiss G, Lyles R, Wu KK. ARIC Hemostasis Study. III. Quality Control. Thromb Haemost 1993; 70: 588-594
    Artikel in Thieme ConnectPubMedGoogle Scholar
  • 10 Chambless LE, McMahon R, Wu K. et al Short-term intraindividual variability in hemostasis factors: the ARIC Study. Ann Epidemiol 1992; 2: 723-733
    CrossrefPubMedGoogle Scholar
  • 11 National Heart, Lung, and Blood Institute, Atherosclerosis Risk in Communities Study, Operations Manual, No. 9:. Hemostasis determinations, Version 1.0. 28.04.1987
    PubMedGoogle Scholar
  • 12 Clauss A. Gerinnungsphysiologische Schnellmethode zur Bestimmung des Fibrinogens. Acta Haematol 1957; 17: 237-246
    CrossrefPubMedGoogle Scholar
  • 13 Searle SR. Linear Models. John Wiley and Sons eds; 1971
    Google Scholar
  • 14 Graybill FA, Wang CM. Confidence intervals for proportions of variability in two-factor nested variance component models. JASA 1979; 74: 368-374
    PubMedGoogle Scholar
  • 15 SAS User’s Guide: Statistics, Vol 6, No 3. SAS Institute, Cary; NC:
  • 16 Fuller WA. Measurement for Error Models. John Wiley and Sons eds; 1987
    Google Scholar
  • 17 Mitropoulos KA, Miller GJ, Reeves BE A, Wildes HC, Cruickshank JK. Factor VII coagulant activity is strongly associated with the plasma concentration of large lipoprotein particles in middle-aged men. Atherosclerosis 1989; 76: 203-208
    CrossrefPubMedGoogle Scholar
  • 18 Thompson SG, Martin JC, Meade TW. Source of variability in coagulation factor assays. Thromb Haemost 1987; 58: 1073-1077
    Artikel in Thieme ConnectPubMedGoogle Scholar
  • 19 Meade TW. et al Population-based distribution of hemostatic variables. Br Med Bull 1977; 33: 283-288
    CrossrefPubMedGoogle Scholar
  • 20 Chambless LE, McMahon RP, Brown SA, Patsch W, Heiss G, Shen Y-L. Short-term intraindividual variability in lipoprotein measurements: the ARIC study. Amer J Epidemiol 1992; 136: 1069-1081
    CrossrefPubMedGoogle Scholar
  • 21 Whittemore A. Errors-in-variables regression using Stein estimate. Amer Statistician 1989; 43: 226-228
    PubMedGoogle Scholar
  • 22 Altman DG. Statistics and ethics in medical research III: How large a sample. Br Med J 1980; 281: 1336-1338
    CrossrefPubMedGoogle Scholar