Clinical Chemistry 51, No. 11, 2005 cells were 0.750 and 0.914, respectively. A linear correlation also existed between tumor mass and the plasma concentrations of human albumin gene (r2 ⫽ 0.746 and 0.625 for C666and Xeno-2117–inoculated mice, respectively). In the 4 nude mice inoculated with HK1 cells, an EBV-negative cell line, the human albumin gene, human mitochondrial ND6 gene, and murine -globin gene sequences, but not EBV DNA sequences, were detected in the plasma. The plasma human albumin gene concentrations showed a linear relationship with the tumor mass (r2 ⫽ 0.808). Because the only source of EBV DNA and human DNA in the mouse model was the engrafted tumor, the plasma concentrations of EBV DNA and human albumin gene would represent the concentrations of tumor-derived nuclear DNA. Our findings therefore suggest a direct linear relationship between the plasma concentrations of tumor-derived nuclear DNA and the tumor mass. On the other hand, we found no linear correlation between the tumor mass and the human mitochondrial ND6 gene (r2 ⫽ 0.123 and 0.374) or the murine -globin gene (r2 ⫽ 0.363 and 0.037) concentrations in mice inoculated with C666 and Xeno-2117 tumor cells. We measured the human mitochondrial ND6 gene concentrations in the resected tumor tissues and found that there was a wide variation of up to 5-fold even within the same type of cancer tissues (data not shown). One explanation would be the variable number of mitochondria in each tumor cell and the variable number of mitochondrial DNA genomes in each mitochondrion (19 ). In the 5 mice not inoculated with tumor cells, only the murine -globin gene was detected in the plasma. In summary, our results substantiate the tumoral origin of circulating EBV DNA in NPC patients and show that the concentrations of EBV DNA and other tumor-derived nuclear DNA sequences vary in a linear fashion with the mass of the NPC. The section of the text concerning plasma EBV genotyping was supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project CUHK 4086/02M), and the section correlating tumor mass and plasma EBV DNA concentrations was supported by the Kadoorie Charitable Foundations (under the auspices of the Michael Kadoorie Cancer Genetics Research Program). References 1. Lo YMD, Chan LYS, Lo KW, Leung SF, Zhang J, Chan ATC, et al. Quantitative analysis of cell-free Epstein-Barr virus DNA in plasma of patients with nasopharyngeal carcinoma. Cancer Res 1999;59:1188 –91. 2. Mutirangura A, Pornthanakasem W, Theamboonlers A, Sriuranpong V, Lertsanguansinchi P, Yenrudi S, et al. Epstein-Barr viral DNA in serum of patients with nasopharyngeal carcinoma. Clin Cancer Res 1998;4:665–9. 3. Lo YMD, Chan LYS, Chan ATC, Leung SF, Lo KW, Zhang J, et al. Quantitative and temporal correlation between circulating cell-free Epstein-Barr virus DNA and tumor recurrence in nasopharyngeal carcinoma. Cancer Res 1999;59: 5452–5. 4. Lin JC, Wang WY, Chen KY, Wei YH, Liang WM, Jan JS, et al. Quantification of plasma Epstein-Barr virus DNA in patients with advanced nasopharyngeal carcinoma. N Engl J Med 2004;350:2461–70. 5. Lo YMD, Chan ATC, Chan LYS, Leung SF, Lam CW, Huang DP, et al. Molecular prognostication of nasopharyngeal carcinoma by quantitative 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 2195 analysis of circulating Epstein-Barr virus DNA. Cancer Res 2000;60:6878 – 81. Chan ATC, Lo YMD, Zee B, Chan LYS, Ma BBY, Leung SF, et al. Plasma Epstein-Barr virus DNA and residual disease after radiotherapy for undifferentiated nasopharyngeal carcinoma. J Natl Cancer Inst 2002;94:1614 –9. Sitki-Green D, Covington M, Raab-Traub N. Compartmentalization and transmission of multiple Epstein-Barr virus strains in asymptomatic carriers. J Virol 2003;77:1840 –7. Walling DM, Brown AL, Etienne W, Keitel WA, Ling PD. Multiple Epstein-Barr virus infections in healthy individuals. J Virol 2003;77:6546 –50. Yao QY, Tierney RJ, Croom-Carter D, Dukers D, Cooper GM, Ellis CJ, et al. Frequency of multiple Epstein-Barr virus infections in T-cell-immunocompromised individuals. J Virol 1996;70:4884 –94. Henry S, Sacaze C, Berrajah L, Karray H, Drira M, Hammami A, et al. In nasopharyngeal carcinoma-bearing patients, tumors and lymphocytes are infected by different Epstein-Barr virus strains. Int J Cancer 2001;91:698 – 704. Pathmanathan R, Prasad U, Sadler R, Flynn K, Raab-Traub N. Clonal proliferations of cells infected with Epstein-Barr virus in preinvasive lesions related to nasopharyngeal carcinoma. N Engl J Med 1995;333:693– 8. Imai S, Koizumi S, Sugiura M, Tokunaga M, Uemura Y, Yamamoto N, et al. Gastric carcinoma: monoclonal epithelial malignant cells expressing Epstein-Barr virus latent infection protein. Proc Natl Acad Sci U S A 1994;91: 9131–5. Pathmanathan R, Prasad U, Chandrika G, Sadler R, Flynn K, Raab-Traub N. Undifferentiated, nonkeratinizing, and squamous cell carcinoma of the nasopharynx. Variants of Epstein-Barr virus-infected neoplasia. Am J Pathol 1995;146:1355– 67. Lin CT, Chen W, Hsu MM, Dee AN. Clonal versus polyclonal Epstein-Barr virus infection in nasopharyngeal carcinoma cell lines. Lab Invest 1997;76: 793– 8. Cheung ST, Leung SF, Lo KW, Chiu KW, Tam JS, Fok TF, et al. Specific latent membrane protein 1 gene sequences in type 1 and type 2 Epstein-Barr virus from nasopharyngeal carcinoma in Hong Kong. Int J Cancer 1998;76:399 – 406. Huang DP, Ho JH, Chan WK, Lau WH, Lui M. Cytogenetics of undifferentiated nasopharyngeal carcinoma xenografts from southern Chinese. Int J Cancer 1989;43:936 –9. Hui AB, Cheung ST, Fong Y, Lo KW, Huang DP. Characterization of a new EBV-associated nasopharyngeal carcinoma cell line. Cancer Genet Cytogenet 1998;101:83– 8. Huang DP, Ho JH, Poon YF, Chew EC, Saw D, Lui M, et al. Establishment of a cell line (NPC/HK1) from a differentiated squamous carcinoma of the nasopharynx. Int J Cancer 1980;26:127–32. Robin ED, Wong R. Mitochondrial DNA molecules and virtual number of mitochondria per cell in mammalian cells. J Cell Physiol 1988;136:507–13. DOI: 10.1373/clinchem.2005.054783 Reliable and Cost-Effective Screening of Inherited Heterozygosity by Zn2ⴙ–Cyclen Polyacrylamide Gel Electrophoresis, Eiji Kinoshita,1,2* Emiko Kinoshita-Kikuta,1 Hirokazu Kojima,1 Yukiko Nakano,3 Kazuaki Chayama,3 and Tohru Koike1,2 (1 Department of Functional Molecular Science, Division of Medicinal Chemistry, Graduate School of Biomedical Sciences, 2 Frontier Center for Microbiology, and 3 Department of Medicine and Molecular Science, Division of Frontier Medical Science, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan; * address correspondence to this author at: Department of Functional Molecular Science, Division of Medicinal Chemistry, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima 734-8551, Japan; fax 81-82-257-5336, e-mail kinoeiji@ hiroshima-u.ac.jp) Various procedures have been developed (1– 4 ) to facilitate high-throughput single-nucleotide polymorphism 2196 Technical Briefs (SNP) detection for establishment of genetic linkage and aiding in diagnosis and treatment of inherited diseases. Such procedures, however, usually require expensive equipment and skilled analysts, making it very difficult for most clinical researchers and physicians to obtain useful SNP data. Thus, the establishment of a reliable and cost-effective SNP detection method that uses general equipment is desirable. We developed a simple, rapid, cost-effective, and accurate method for the detection of mutations by polyacrylamide gel electrophoresis with the additive Zn2⫹– 1,4,7,10-tetraazacyclododecane (cyclen) complex (Rf Enhancer-ZC; Toyobo), called Zn2⫹– cyclen–PAGE (5 ). The combination of a PCR-based heteroduplex method and Zn2⫹– cyclen–PAGE enables accurate detection of single mutations introduced artificially, even for less detectable substitutions such as A-T to T-A and G-C to C-G. This procedure does not require radioisotopes or fluorescent probes. Heteroduplex bands that arise from annealing of complementary strands, one from mutant and one from wild-type DNA (heterozygosity) are identified in the electrophoresis gel during PCR. Our approach is based on 3 principles: (a) a single-base mismatch produces a local conformational change in the double-stranded DNA, leading to differential migration of the heteroduplex and homoduplex bands; (b) the addition to the gel of Zn2⫹– cyclen, which selectively binds to the thymine base (T) and disrupts the double strands, intensifies the local conformational change, increasing differential migration of both duplexes; and (c) binding of Zn2⫹– cyclen to T decreases the total charge of the target DNA, thus enhancing detection. Slow or differentially migrating bands in the gel indicate the presence of heteroduplex bands, which suggest the existence of a mutation or polymorphism. Furthermore, Zn2⫹– cyclen–PAGE separates homoduplexes of specific mutant alleles from homoduplexes of their homologous wild-type alleles. We achieved higher resolution of Zn2⫹– cyclen–PAGE by adopting a discontinuous buffer system with a separating gel and a stacking gel (6 – 8 ). As the first practical use of the improved method, we analyzed heterozygosity in the human cardiac sodium channel gene, SCN5A. Many mutations in the SCN5A gene, which consists of 28 exons spanning ⬃80 kb on chromosome 3, are responsible for multiple arrhythmia disorders, including long QT syndrome type 3 (LQT3), idiopathic ventricular fibrillation (IVF), inherited cardiac conduction defects, and the Brugada syndrome. More than 80 mutations associated with the Brugada syndrome have been identified (9 ) since the first indication of a genetic basis in 1998 (10 ). Because these mutations are scattered throughout the SCN5A gene, a comprehensive and accurate genomic analysis is required to confirm the classification of Brugada syndrome as an inherited disease, to predict the clinical phenotype, and to develop suitable therapies. Eighteen unrelated Japanese individuals participated in this study: 10 patients with Brugada syndrome, 1 with IVF without ST segment elevation in the right precordial electrocardiogram leads, 1 with LQT3, and 6 healthy individuals without family histories of syncope or sudden death. All disease diagnosis was performed at Hiroshima University Hospital. The study protocol was approved by the human genome research ethics screening committee of Hiroshima University, and written informed consent for participation was obtained from all participants. Peripheral blood (10 mL) was obtained from each participant, and genomic DNA was extracted from the leukocytes according to a standard protocol by use of the QIAamp DNA Blood Maxi Kit (Qiagen). All SCN5A exons and those splice sites were amplified by PCR from 2.5 ng of genomic DNA with KOD-plus or Blend Taq-plus DNA polymerase (Toyobo). The untranslated region of exon 28 was not analyzed in this study. The PCR procedure was described previously (11 ). The optimum primers used (98 pairs; primer sets are listed in the Data Supplement that accompanies the online version of this Technical Brief at http://www.clinchem.org/content/vol51/issue11) were originally designed according to the sequences of GenBank accession nos. AP006241 (chromosome 3) and M77235 (cDNA of SCN5A) so that, for accurate mutation detection, the length of each PCR product would not exceed ⬃200 bp. The primers were purchased from Texas Genomics Japan and Espec Oligo Service. The modified Zn2⫹– cyclen–PAGE was performed at 25 mA for 100 min at room temperature in a 1-mm-thick, 9-cm-wide, and 9-cm long gel on a standard minislab PAGE apparatus (Model AE6500; ATTO). The gel consisted of 1.8 mL of stacking gel (45 g/L polyacrylamide and 125 mmol/L Tris-HCl, pH 6.8) and 6.3 mL of a separating gel (5.0 mmol/L Zn2⫹– cyclen, 200 g/L polyacrylamide, and 375 mmol/L Tris-HCl, pH 8.8). The acrylamide stock solution was prepared as a mixture of a 99:1 ratio of acrylamide to N,N⬘-methylenebisacrylamide. The cathode buffer was 25 mmol/L Tris and 192 mmol/L glycine, and the anode buffer was 25 mmol/L Tris and 192 mmol/L glycine containing 5.0 mmol/L Zn(NO3)2. Each PCR product for Zn2⫹– cyclen–PAGE was dissolved in a half amount of a loading dye containing 50 mmol/L EDTA, 0.5 g/L bromphenol blue, and 300 mL/L glycerol and then applied (0.5–1.0 ng of DNA per well). The DNA bands were visualized by staining with 10 000-fold– diluted SYBR Green I (15 mL per gel; Cambrex Bio Science Rockland) after electrophoresis. The entire amount of SCN5A gene (i.e., 41 DNA fragments ⫻ 12 patients) and the DNA fragments, including the samples showing multiple bands (healthy individuals nos. 14 and 16), were sequenced with an ABI PRISM 310 Genetic Analyzer (Applied Biosystems). The primers (41 pairs) used for direct sequencing were the same as those reported previously (12 ). Direct sequencing revealed that all patients had the SCN5A coding the same hH1c channel isoform (13 ), entered as GenBank accession no. AY148488. This novel screening method disclosed that 9 patients and 2 healthy individuals had various heterozygosities in the SCN5A gene. Examples of typical Zn2⫹– cyclen–PAGE results are shown in Fig. 1. The higher resolution achieved with the same PCR products from exon 10 for electro- Clinical Chemistry 51, No. 11, 2005 Fig. 1. Zn2⫹– cyclen–PAGE for heterozygosity screening. (A and B), 107-bp PCR products (exon 10-2 in the online Data Supplement) obtained with primers 5⬘-TGTCATCTTCCTGGGGTCCT-3⬘ and 5⬘-CCTTCTCCTCGGTCTCAGCG-3⬘ and containing the sequences of exon 10, as analyzed by Zn2⫹– cyclen–PAGE with a discontinuous buffer system (A) and a continuous buffer system (B). (C), 106-bp PCR products (exon 2-3 in the online Data Supplement) obtained with primers 5⬘-AGTCCCTGGCAGCCATCGAG-3⬘ and 5⬘GGCCGGGGAGCCTCCTCCTC-3⬘ and containing the sequences of exon 2, as analyzed with a discontinuous buffer system. (D), 100-bp PCR products (exon 21-3 in the online Data Supplement) obtained with primers 5⬘-CTGCTCAAGTGGGTGGCCTA-3⬘ and 5⬘-CCCTTCGGGTGCCCACACTC-3⬘ and containing the sequences of exon 21, as analyzed with a discontinuous buffer system. (E), 92-bp PCR products (exon 20-2 in the online Data Supplement) obtained with primers 5⬘-TGGACACCACACAGGCCCCA-3⬘ and 5⬘-TGATGAATGTCTCGAACCAG-3⬘ and containing the sequences of exon 20, as analyzed with a discontinuous buffer system. For all panels, lanes 1–10, Brugada patients; lane 11, IVF patient; lane 12, LQT3 patient; lanes 13–18, healthy controls. phoresis with a discontinuous buffer system is apparent in Fig. 1A compared with Fig. 1B [continuous buffer system was 90 mmol/L Tris and 90 mmol/L borate (5 )]. Two additional differentially migrating bands representing heteroduplexes (lane 1 of Fig. 1A) were confirmed more clearly by use of the newly modified Zn2⫹– cyclen– PAGE. Subsequent direct sequencing of the DNA fragment including exon 10-2 of patient 1 revealed a heterozygous nucleotide substitution (G1212A) that does not affect codon L404. A similar synonymous SNP (i.e., G87A in codon A29) was also detected in exon 2 of 5 Brugada syndrome patients and 2 healthy individuals (Fig. 1C). We also detected a heteroduplex (lane 2 of Fig. 1D), which we identified as a heterozygous G-to-A transversion in the 5⬘ splice junction of the intron between exons 21 and 22, suggesting abnormal splicing linked to the Brugada syndrome. No nucleotide change affecting the coding was detected in the other Brugada patients. In some previous studies, the reported incidence of SCN5A mutations in Japanese patients with the Brugada syndrome varied from 2% to 27% (14 ); therefore, further genetic testing will be required to understand the genotype–phenotype relationship in this disease. Moreover, Zn2⫹– cyclen–PAGE showed another abnormality in exon 20 of IVF and LQT3 patients (lanes 11 and 12 in Fig. 1E) attributable to a common nucleotide alteration (G3575A) leading to a codon mutation of R1192Q. This mutation has been reported to be associated with the Brugada (15 ) and LQT3 (16 ) syndromes. It is interesting to detect the same SNP in an IVF patient without typical electrocardiographic signs of the Brugada syndrome. No heterozygous mutation associated with changes in the codon was detected in the control individuals. Direct sequencing disclosed no mu- 2197 tation in the patient samples showing a single DNA band, indicating that all heterozygous mutations in the SCN5A gene tested were detected by our screening. Because the samples showing a single DNA band in this study and a previous report (5 ) had no mutations, the detection sensitivity of our screening would not be less than that (generally 70%–90%) of other gel-based approaches such as single-strand conformation polymorphism analysis and denaturing gradient gel electrophoresis. In conclusion, our Zn2⫹– cyclen–PAGE method is a novel genetic approach to diagnosing autosomal dominant inherited diseases. Heteroduplexing with the homologous wild-type allele would also enable genotyping of recessive-mode diseases. Use of the discontinuous buffer system sharpened each DNA band in the minislab gel at room temperature, making it easier to reliably detect heteroduplex bands. Zn2⫹– cyclen–PAGE requires a general minislab PAGE system and an additive, Zn2⫹– cyclen, without any special apparatus. The cost of Zn2⫹– cyclen for 1 SCN5A gene (98 DNA fragments) was less than $4.00 US dollars. This method may therefore be feasible for initial screening of hereditary diseases in a clinical laboratory. We sincerely thank the individuals who provided blood samples for this study. We also thank the Research Center for Molecular Medicine, Graduate School of Biomedical Sciences, Hiroshima University, for the use of their facilities. This work was supported by Grants-in-Aid for Scientific Research (B) (15390013) and for Young Scientists (B) (14770014) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan. References 1. Ahmadian A, Gharizadeh B, Gustafsson AC, Sterky F, Nyrén P, Uhlén M, et al. Single-nucleotide polymorphism analysis by pyrosequencing. Anal Biochem 2000;280:103–10. 2. Bray MS, Boerwinkle E, Doris PA. High-throughput multiplex SNP genotyping with MALDI-TOF mass spectrometry: practice, problems, and promise. Hum Mutat 2001;17:296 –304. 3. Hampe J, Wollstein A, Lu T, Frevel HJ, Will M, Manaster C, et al. An integrated system for high throughput TaqManTM based SNP genotyping. Bioinformatics 2001;17:654 –5. 4. Warrington JA, Shah NA, Chen X, Janis M, Liu C, Kondapalli S, et al. New developments in high-throughput resequencing and variation detection using high density microarrays. Hum Mutat 2002;19:402–9. 5. Kinoshita-Kikuta E, Kinoshita E, Koike T. A novel procedure for simple and efficient genotyping of single nucleotide polymorphisms by using the Zn2⫹– cyclen complex. Nucleic Acids Res 2002;30:e126. 6. Ornstein L. Disc electrophoresis. I. Background and theory. Ann N Y Acad Sci 1964;121:321– 49. 7. Davis BJ. Disc electrophoresis. II. Method and application to human serum proteins. Ann N Y Acad Sci 1964;121:404 –27. 8. Laemmli UK. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 1970;227:680 –5. 9. Antzelevitch C, Brugada P, Borggrefe M, Brugada J, Brugada R, Corrado D, et al. Brugada syndrome: report of the second consensus conference. Endorsed by the Heart Rhythm Society and the European Heart Rhythm Association. Circulation 2005;111:659 –70. 10. Chen Q, Kirsch GE, Zhang D, Brugada R, Brugada J, Brugada P, et al. Genetic basis and molecular mechanism for idiopathic ventricular fibrillation. Nature 1998;392:293– 6. 11. Kinoshita E, Kinoshita-Kikuta E, Koike T. A heteroduplex-preferential Tm depressor for the specificity-enhanced DNA polymerase chain reactions. Anal Biochem 2005;337:154 – 60. 2198 Technical Briefs 12. Wang Q, Li Z, Shen J, Keating MT. Genomic organization of the human SCN5A gene encoding the cardiac sodium channel. Genomics 1996;34:9 – 16. 13. Makielski JC, Ye B, Valdivia CR, Pagel MD, Pu J, Tester DJ, et al. A ubiquitous splice variant and a common polymorphism affect heterologous expression of recombinant human SCN5A heart sodium channels. Circ Res 2003;93:821– 8. 14. Hiraoka M. Inherited arrhythmic disorders in Japan. J Cardiovasc Electrophysiol 2003;14:431– 4. 15. Vatta M, Dumaine R, Varghese G, Richard TA, Shimizu W, Aihara N, et al. Genetic and biophysical basis of sudden unexplained nocturnal death syndrome (SUNDS), a disease allelic to Brugada syndrome. Hum Mol Genet 2002;11:337– 45. 16. Wang Q, Chen S, Chen Q, Wan X, Shen J, Hoeltge GA, et al. The common SCN5A mutation R1193Q causes LQTS-type electrophysiological alterations of the cardiac sodium channel. J Med Genet 2004;41:e66. DOI: 10.1373/clinchem.2005.051011 Validation of the 99th Percentile Cutoff Independent of Assay Imprecision (CV) for Cardiac Troponin Monitoring for Ruling Out Myocardial Infarction, Fred S. Apple,1* Curtis A. Parvin,2 Kenneth F. Buechler,3 Robert H. Christenson,4 Alan H.B. Wu,5 and Allan S. Jaffe6 (1 Hennepin County Medical Center and University of Minnesota School of Medicine, Minneapolis, MN; 2 Washington University School of Medicine, St. Louis, MO; 3 Biosite Incorporated, San Diego, CA; 4 University of Maryland School of Medicine, Baltimore, MD; 5 San Francisco General Hospital and the University of California School of Medicine, San Francisco, CA; 6 Mayo Clinic, Rochester, MN; * address correspondence to this author at: Hennepin County Medical Center, Clinical Laboratories P4, 701 Park Ave., Minneapolis, MN 55415; fax 612-904-4229, e-mail [email protected]) By definition, the probability that a single measured cardiac troponin result exceeds the estimated 99th percentile is equal to 0.01 (1%) for a person randomly selected from the general (reference) population. This is irrespective of the imprecision profile of the analytical method as well as the lack of standardization of cardiac troponin assays (1–7 ). However, the probability that a measured result exceeds the 99th percentile limit for a specific person from the reference population will vary depending on that person’s true concentration and on the imprecision profile of the specific analytical method. Furthermore, the overall probability that at least one of multiple measured values (the second or third measured cardiac troponin concentration in a timed series of cardiac troponin orders) exceeds the 99th percentile also will vary depending on the imprecision of the analytical method. To investigate the influence of assay imprecision on the likelihood of misclassifying healthy individuals or patients without myocardial injury, we simulated the distribution of cardiac troponin I (cTnI) results in a general population and added random analytical error reflecting different assay imprecision profiles. One imprecision profile assumes a CV of 37.5% at a cTnI of 0.05 g/L, decreasing to a CV of 25% at a cTnI of 0.07 g/L, and a CV of 9.4% at cTnI of 0.14 g/L. The second imprecision profile was obtained by multiplying the first imprecision profile by a factor of 0.40, which produces a CV of 10% at a cTnI of 0.07 g/L. The distribution of “true” cTnI concentrations in the general population was simulated by generating 500 000 random values from an exponential distribution. The mean of the exponential distribution was selected so that the 99th percentile occurred at a cTnI concentration of 0.07 g/L for the case where the imprecision profile had a CV of 25% at 0.07 g/L. For each of the 500 000 true cTnI values, a gaussian-distributed random error was added that reflected the appropriate CV given the imprecision profile and true cTnI concentration. The distribution of values for a cTnI assay, assuming an imprecision profile with a 25% CV at the 99th percentile limit of 0.07 g/L, is shown in Fig. 1. The same cardiac troponin distribution, assuming that the imprecision profile of this assay is improved, now with a 10% CV at 0.07 g/L, lowers the calculated 99th percentile from 0.07 g/L to 0.063 g/L (Fig. 1, top). This demonstrates that when the imprecision of an assay is improved at low concentrations, the 99th percentile limits will shift to lower values because the width of the distribution is reduced. In a population of patients presenting with suspected acute coronary syndrome who are being ruled out for myocardial infarction, serial cardiac troponin orders at presentation (0 h), 6 h, and 12 h are recommended (1, 2 ). Also shown in Fig. 1 are the probabilities of at least 1 of 3 serially measured values exceeding the 99th percentile limits as a function of the cTnI concentration for the 2 different imprecision profiles. The vertical lines are the 99th percentile limits for the 2 imprecision profiles. The overall probability of a single measured result obtained at a patient’s presentation (t ⫽ 0 h) exceeding the 99th percentile limit is 0.01 for both imprecision values (Fig. 1, middle panel). The probability of a cardiac troponin result being falsely classified as positive (increased above the 99th percentile) during a second (t ⫽ 6 h) or third (t ⫽ 12 h) measurement for the 2 different imprecision profiles increases compared with the initial t ⫽ 0 h measurement. The overall probability that a result exceeds the 99th percentile is greater for the analytical method with a 25% CV than for the analytical methods with the 10% CV as follows: second measurement at t ⫽ 6 h, 0.016 vs 0.013; third measurement at t ⫽ 12 h, 0.020 vs 0.015 (Fig. 1, bottom panel). Thus, for 2 or 3 serial cardiac troponin measurements in clinical practice, an additional 3 or 5 of 1000 patients, respectively, are likely to be misclassified as false positives for the 25% CV imprecision assay. It should be noted, however, that for the first measurement (t ⫽ 0 h), 10 in 1000 patients will be misclassified as false positive regardless of assay precision. We believe that the clinical implications of this false-positive frequency are insignificant.
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