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Evaluation of clinical usefulness of reference interval of some selected hematological parameters in canine blood 원문보기

大韓獸醫學會誌 = Korean journal of veterinary research, v.44 no.4 = no.117, 2004년, pp.649 - 653  

Pak, Son-Il (paksi@kangwon.ac.kr) ,  Han, Ho-Jae

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To estimate the source of variance components for some hematological parameters and assess the utility of the conventional population-based reference interval, this study computed index of individuality for blood samples, which were from 13 dogs drawn once weekly for 4 consecutive weeks. Results wer...

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제안 방법

  • In this study, for the parameters Hb, RDW, manual HCT and MPV with relatively intermediate coefficient (range 0.63-0.69), a single measurement will moderately classify the participants with respect to his or her short-term average analyte concentration. Except for MCV (R=0.
  • The indexes of individuality are also included as percentages of total variances, along with the CVs. The analytes in order of the increasing reliability coefficient and the decreasing index of individuality were as follows: MCHC, RBC, monocyte count, WBC, neutrophil count, lymphocyte count, platelet count, HCT, Hb, MPV, manual HCT, RDW, and MCV. Weekly differences for all analytes in the same dogs were not statistically significant although some variation between dogs was noted.

대상 데이터

  • Thirteen adult mixed-breed dogs, 4 males and 9 females, with an age range of 2 to 5 years, weighing 4-15 kg were included in the study. The dogs were housed at the animal hospital and used for student training and blood donors.

데이터처리

  • comparison. The variance component analysis was performed using PROC NESTED procedure of the Statistical Analysis System Version 8.1 (SAS, Cary, NC), and if negative variance components resulted, values of zero were used. A value of P<0.
  • Weekly differences in the same dog were assessed using the nonparametric Friedman ANOVA test, with dogs serving as blocking factors, followed by Duncan’s multiple comparison. The variance component analysis was performed using PROC NESTED procedure of the Statistical Analysis System Version 8.

이론/모형

  • For a statistical analysis, a nested random effects analysis of variance model (ANOVA) was used, assuming a standard constant variance; i.e., both within-person and analytical variances were constant at any level of the parameter [6]. With this model, the total variance (S2total) can be break down into three components - between-dog variance (S2inter), within-dog variance (S2intra), and analytical variance (S2analy) - and calculate as follows: S2total = S2inter +, S2intra + Sealy [1, 13-15].
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참고문헌 (16)

  1. Chambless, L. E., McMahon, R., Wu, K., Folsom, A., Finch, A. and Shen, Y. L. Short-term intraindividual variability in hemostasis factors: the ARIC study. Ann.Epidemiol. 1992, 2, 723-733 

  2. Eckfeldt, J. H., Chambless, L. E. and Shen, Y. Shortterm, within-person variability in clinical chemistry results: experience from the atherosclerosis risk in communities study. Arch. Pathol. Lab. Med. 1994, 118, 496-500 

  3. Fraser, C. G. and Harris, E. K. Generation and application of data on biological variation in clinical chemistry. Crit. Rev. Clin. Lab. Sci. 1989, 27, 409-437 

  4. Fraser, C. G. and Hearne, C. R. Components of variance of some plasma constituents in patients with myocardial infarction. Ann. Clin. Biochem. 1982, 19,431-434 

  5. Garg, U. C., Zheng, Z. J., Folsom, A. R., Moyer, Y. S., Tsai, M. Y., McGovern, P. and Eckfeldt, J. H. Short-term and long-term variability of plasma homocysteine measurement. Clin. Chem. 1997, 43, 141-145 

  6. Graybill, F. A. and Wang, C. M. Confidence intervals for proportions of variability in two-factor nested variance component models. J.Am. Stat. Assoc. 1979, 74, 368-374 

  7. Harris, E. K. Effects of intra- and interindividual variation on the appropriate use of normal ranges. Clin. Chem. 1974, 20, 1535-1542 

  8. H $\"{o}$ lzel, W. G. E. Intra-individual variation of some analytes in serum from patients with insulin-dependent diabetes mellitus. Clin. Chem. 1987, 33, 57-61 

  9. Jensen, A. L., Houe, H. and Nielsen, C. G. Critical differences of clinical-chemical parameters in blood from Red Danish dairy cows. Res. Vet. Sci. 1992, 52, 86-89 

  10. Jensen, A. L. Critical differences of clinical chemical parameters in blood from dogs. Res. Vet. Sci. 1993, 54, 10-14 

  11. Jensen, A. L., Koch, J. and Wenck, A. Estimates of components of variance of the rectal temperature in clinically healthy dogs in a hospital environment. J. Vet.Med. A. 1994, 41, 717-721 

  12. Marca, M. C. and Loste, A. Glycosylated haemoglobin in dogs: study of critical difference value. Res. Vet. Sci. 2001, 71, 115-117 

  13. Queralto, J. M., Boyd, J. C. and Harris, E. K. On the calculation of reference change values, with examples from a long-term study. Clin. Chem. 1993, 39, 1398-1403 

  14. Pascoe, P. J., Gallagher, C. S. and Fraser, C. G. Components of biological variation of some serum analytes in hospitalized pregnant women. Clin. Chem.1984, 30, 583-584 

  15. Ross, J. W. Evaluation of precision. In: Werner M, ed. Handbook of clinical chemistry. pp. 391-422. CRC Press, Boca Raton, 1982 

  16. Snedecor, G. W. and Cochrane, W. G. Statistical methods. pp. 379-384. 7th ed. Iowa State University Press, Ames, 1980 

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