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Comparison of the INR Values Measured by CoaguChek XS Coagulometer and Conventional Laboratory Methods in Patients on VKA Therapy

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Comparison of the INR Values Measured

by CoaguChek XS Coagulometer

and Conventional Laboratory Methods

in Patients on VKA Therapy

Macit Kalc¸ık, MD

1

, Mahmut Yesin, MD

1

,

Mustafa Ozan Gu¨rsoy, MD

1

, Sabahattin Gu¨ndu¨z, MD

1

,

Su¨leyman Karakoyun, MD

1

, Mehmet Ali Astarcıog˘lu, MD

1

,

Emrah Bayam, MD

1

, Sinan Cers¸it, MD

1

, and Mehmet O

¨ zkan, MD

1,2

Abstract

Background: Warfarin, which is a widely used oral anticoagulant, has a narrow therapeutic window and requires regular international normalized ratio (INR) monitoring to maintain optimal anticoagulation. Recently, several portable coagulometers have been developed to measure INR levels. Objective: To compare the INR results obtained by a portable coagulometer (CoaguChek XS) and a standard laboratory method (STAGO STA-R). Methods: Overall, 433 consecutive patients (male: 191, median age: 61 [44-86] years) who were admitted to outpatient anticoagulation clinic were enrolled in this study. Each patient was tested for INR using portable CoaguChek XS and STAGO STA-R automatic laboratory coagulometer. Correlation between methods was assessed using the Pearson correlation test and Cohen k test. Bland-Altman plot was used to identify mean difference and 95% limits of agreement. Results: The mean INR values for CoaguChek XS and STAGO STA-R were 2.54 + 1.17 and 2.79 + 1.39, respectively. There was a strong positive correlation between the 2 methods (r¼ .966; 95% confidence interval [CI]: 0.95-0.97, P < .001). The Bland-Altman analysis gave a mean difference of 0.26 + 0.40 between the 2 methods, with a 95% limit of agreement of 0.54 to 1.05. In patients with INR values >5.0, there was only a moderate correlation (r ¼ .676; 95% CI: 0.38-0.89, P ¼ .002), and the mean difference of INR tended to increase as mean INR values increased. There was a high overall agreement between the 2 methods (k ¼ .751; 95% CI: 0.69-0.80; P < .001). Conclusion: There was good consistency between traditional laboratory testing and CoaguChek XS coagulometer, which provides rapid and reliable INR analysis.

Keywords

international normalized ratio, oral anticoagulation, point-of-care systems, warfarin

Introduction

Vitamin K antagonists (VKAs), such as warfarin, have been the drugs of choice for oral anticoagulation for a long time. Their effectiveness was mostly demonstrated in primary and second-ary prevention of systemic embolism in patients with heart valve prostheses and atrial fibrillation (AF) as well as the treat-ment of venous thromboembolism.1,2The anticoagulant effect of VKAs can be monitored by the prothrombin time or the international normalized ratio (INR).

Therapeutic success with the VKAs is highly dependent on the quality of dose management. The goal of therapy is to keep the patient within the predetermined therapeutic range, usually an INR of 2.0 to 3.0 for most indications or 2.5 to 3.5 for selected patients with mechanical heart valves or highly throm-bogenic conditions. Time in therapeutic range is a principal

determinant of clinical outcomes as shown in numerous clinical trials.3

Warfarin has a narrow therapeutic window and therefore requires regular INR monitoring to ensure that a therapeutic level is maintained.4 Due to the variable pharmacokinetic profile, its anticoagulation effect shows great interpatient and intrapatient variability closely related to genetic and

1

Department of Cardiology, Kosuyolu Kartal Heart Training and Research Hospital, Istanbul, Turkey

2

Division of Health Sciences, University of Ardahan, Ardahan, Turkey Corresponding Author:

Macit Kalc¸ık, Kos¸uyolu Kartal Heart Training and Research Hospital, Denizer cad. No: 2, Cevizli Kavs¸ag˘ı, 34846 Cevizli, Kartal, Istanbul, Turkey.

Email: macitkalcik@yahoo.com

Thrombosis/Hemostasis 2017, Vol. 23(2) 187-194

ªThe Author(s) 2015 Reprints and permission:

sagepub.com/journalsPermissions.nav DOI: 10.1177/1076029615595881 journals.sagepub.com/home/cat

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environmental factors,5and there is a high potential for drug-drug and dietary interactions.6These factors can result in a poor INR control in ‘‘real-world’’ clinical practice.

In recent years, several portable coagulometers using capil-lary blood for INR analysis have been developed. These instru-ments, known as point of care (POC), have eliminated the need for whole blood collection and plasma separation by centrifu-gation and, thus, facilitate the monitoring of VKAs.7Although they were originally developed for home use, POC monitors have become very useful in hospital and outpatient clinics due to the practicality and speed in obtaining results.8However, there are limited studies in the literature regarding the consis-tency of their results with standard laboratory methods.9

The objective of this study was to evaluate and compare the INR results obtained by a portable coagulometer device (CoaguChek XS) and a standard laboratory method (STAGO STA-R automatic coagulometer) in a large number of patients admitted to our outpatient anticoagulation clinic.

Materials and Methods

Study Population

A total of 433 consecutive patients with a median age of 61 years (range, 44–86), who were admitted to outpatient antic-oagulation clinic of Kosuyolu Kartal Heart Training and Research Hospital, _Istanbul, Turkey, for routine INR monitor-ing between March 2014 and April 2014 were enrolled in this study. The study population consisted of 191 males and 241 females who were on VKA therapy for various indications. Each patient gave informed consent to participate in this study, and the study was approved by the institutional review board.

Point-of-Care Procedure

The CoaguChek XS (Roche Diagnostics, Basel, Switzerland) system consists of a small and portable coagulometer and dis-posable test strips. It measures the INR in whole blood obtained by finger prick, using recombinant human thromboplastin, and has an international sensitivity index (ISI) value of 1.0. All measurements were performed simultaneously in the blood col-lection room when venous blood samples were taken for stan-dard laboratory tests. About 0.01 cm3 blood at the end of capillary of finger was collected from all patients by the same physician and added into corresponding area on the dry reac-tion test strip and tested with a portable CoaguChek XS coagulometer.

Standard Laboratory Procedure

Blood samples were collected by a clean puncture of an ante-cubital vein in the blood collection room. Peripheral venous blood of about 3 cm3was collected by laboratory staffs, and added into a blood collection tube containing 3.8% buffered sodium citrate. Then, the tubes were transferred to the labora-tory where they were centrifuged at 2500 g for 20 minutes at room temperature. The plasma obtained after centrifugation

were analyzed with a STAGO STA-R (Diagnostica Stago, France) automatic coagulometer using STA-R Hepato Quick kit (Diagnostica Stago, SAS) with an ISI value of 0.91.

Statistical Analysis

Statistical analyses were performed using SPSS for Windows version 19.0 (SPSS Inc, Chicago, Illinois), and significance level was set as P < .05 in all statistical analyses. The variables were investigated with the use of analytical methods (Kolmo-gorov-Smirnov/Shapiro-Wilk tests) to determine whether they were normally distributed. Descriptive statistics were reported as mean with standard deviation for normally distributed con-tinuous variables, median with minimum and maximum values for nonnormally distributed continuous variables, and as fre-quency with percentages for the categorical variables.

Correlation between methods was assessed using the Pearson correlation test. Bland-Altman plot was used to iden-tify mean difference and 95% limits of agreement of the INR results between CoaguChek XS and STAGO STA-R. The over-all correlation and difference were compared in a total of 433 measurements and were further compared in 4 INR ranges (INR < 2.0, 2.0 INR  3.5, INR > 3.5, and INR > 5.0).

In a second phase, the quantitative data were categorized into 3 ranges: subtherapeutic, therapeutic, and supratherapeutic ranges. The definition of the ideal therapeutic range depended on the indication of oral anticoagulation. For patients with mechanical prostheses, the ideal range was between 2.5 and 3.5. For the other indications, the ideal range was between 2 and 3. Cohen k value was used for assessing the degree of agreement between methods in guiding the clinical manage-ment (<0.4, poor; 0.4-0.75, fair to good; and >0.75, excellent). Concordance was defined when both of the paired INR results were within the therapeutic range or both were above the ther-apeutic range (supratherther-apeutic) or both were below the thera-peutic range (subtherathera-peutic).

Results

The INR results were obtained from 433 consecutive patients who were on VKA therapy. The indications for oral anticoagu-lation with VKAs are listed in Table 1. The laboratory INR

Table 1. The List of Indications for Use of VKAs in Study Population.

Indications N %

Atrial fibrillation/flutter 167 38.6

Prosthetic heart valve 186 43

Mitral 114 26.3

Aortic 53 12.2

Mitralþ aortic 19 4.5

Deep venous thrombosis 31 7.1

Ischemic stroke 22 5

Pulmonary embolism 17 4

Pulmonary hypertension 7 1.6

Intracardiac thrombus 3 0.7

Abbreviation: VKA, vitamin K antagonist.

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results ranged from 0.9 to 7.5 with a mean of 2.54 + 1.17, and CoaguChek XS INR ranged from 0.9 to 8.0 with a mean of 2.79 + 1.39 (Figure 1A and B). Pearson correlation coefficient (r) obtained by comparing INR levels of the 2 methods was 0.966 (P < .001; 95% CI: 0.95-0.97; Figure 2A). The mean INR difference between the 2 methods was 0.26 + 0.40. The Bland-Altman plot illustrates the mean difference between the 2 meth-ods, with POC exhibiting a mean bias of 0.26 and a 95% limit of agreement of0.54 to 1.05. The mean difference in INR

measurements tended to increase as mean INR values increased (Figure 2B). The agreement of INR measurements between CoaguChek XS and STA-R was further assessed according to the 3 INR categories (subtherapeutic, therapeutic, and supratherapeutic ranges). When the influence of INR measur-ing method on dose-management decisions was taken into con-sideration, total observed agreement (concordance) between the 2 methods was 84.3%. The INR measurements showed a difference (discordance) in dosing decision between the

Figure 1. The box plot (A) and simple bar (B) graphs illustrating the distribution of the international normalized ratio values obtained by portable CoaguChek XS and laboratory STAGO STA-R coagulometers.

Figure 2. The scatter plot graph illustrating the strong correlation between the international normalized ratio (INR) values obtained by portable CoaguChek XS and laboratory STAGO STA-R coagulometers (A). The Bland-Altman diagram showing the magnitude of the difference between the INR values obtained by the laboratory and CoaguChek XS. The solid line represents the mean difference and the dashed lines represent the lower (1.96 standard deviation [SD]) and upper limits (þ1.96 SD) of agreement. The mean difference in INR measurements tends to increase as the mean INR values increases (B). (The mean INR was calculated by adding the CoaguChek XS to the laboratory INR values and then dividing the sum by 2.)

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2 methods in 68 (15.7%) patients (Table 2). The overall agreement was excellent (k ¼ .751; 95% CI: 0.69-0.80; P < .001; Table 3).

Patients were grouped according to the indications for VKA as AF group (n¼ 167), protahetic heart valve group (n ¼ 186), and the others (n¼ 80). There was no difference in terms of Pearson correlation coefficients (r) in these groups: .957 (95% CI: 0.94-0.97, P < .001); 0.969 (95% CI: 0.95-0.98, P < .001), and 0.978 (95% CI: 0.96-0.98, P < .001), respectively. Pearson correlation coefficients (r) obtained at INR < 2.0, 2.0 INR  3.5, and INR > 3.5 ranges were 0.919 (95% CI: 0.87-0.95, P < .001), 0.820 (95% CI: 0.76-0.86, P < .001), and 0.880 (95% CI: 0.82-0.92, P < .001), respectively (Table 4 and Figures 3A, 4A, and 5A). On the other hand, the mean differ-ences in the INR measurements in subgroups were 0.06 + 0.16, 0.30 + 0.36, and 0.56 + 0.63, respectively (Figures 3B, 4B, and 5B). The 95% CI of the differences in these 3 subgroups

were0.25 to 0.373, 0.41 to 1.01, and 0.67 to 1.79, respec-tively (Table 5). In 18 patients whose laboratory INR values were >5.0, there was only a moderate correlation between the 2 methods (r¼ .676; 95% CI: 0.38-0.89, P ¼ .002), and the mean difference in this subgroup was 0.66 + 0.62 (Figure 6A and B) with a 95% CI of0.54 to 1.88.

The absolute differences between the POC and the labora-tory results were <0.5 INR units in 335 (77.4%) and0.5 INR units in 98 (22.6%) patients (Table 2). The prevalance of the patients with an absolute INR difference 0.5 tended to increase in subgroups as the INR range increased: 3 (1.9%), 59 (27.7%), 36 (53.7%), and 11(61.1%), respectively (Table 5).

Discussion

This monocentric observational study enrolling 433 patients on warfarin therapy showed that INR results of portable

Table 2. Accuracy Criteria and the Corresponding Results of Comparison.

Performance Criteria Results

STAGO STA-R INR (mean + SD) 2.54 + 1.17

CoaguChek XS INR (mean + SD) 2.79 + 1.39

Difference (mean + SD) 0.26 + 0.40

95% CI Limits of difference 0.54 to 1.05

Magnitude of difference Number of Patients (%)

<0.5 335 (77.4)

0.5-1.0 70 (16.2)

>1.0 28 (6.4)

Concordance 365 (84.3)

Discordance 68 (15.7)

Abbreviations: INR, international normalized ratio; SD, standard deviation.

Table 3. Agreement of INR measurements between CoaguChek XS and STAGO STA-R.a

CoaguChek XS

Subtherapeutic Therapeutic Supratherapeutic Total

STAGO STA-R Subtherapeutic 135 18 0 153

Therapeutic 5 169 39 213

Supratherapeutic 0 6 61 67

Total 140 193 100 433

Abbreviation: INR, international normalized ratio.

ak coefficient

¼ .751; 95% CI ¼ 0.69-0.80, P < .001.

Table 4. The Summary of the Correlation Analysis Between the 2 Methods in Total and Subgroups.

Patient Groups STA-R INR, mean + SD

CoaguChek INR, mean + SD

Correlation

Coefficient (r) 95% Confidence Interval P Value

Total participants 2.54 + 1.17 2.79 + 1.39 .966 0.95-0.97 <.001

INR < 2 subgroup 1.45 + 0.34 1.51 + 0.41 .919 0.87-0.95 <.001

2 INR  3.5 subgroup 2.68 + 0.44 2.97 + 0.61 .820 0.76-0.86 <.001

INR > 3.5 subgroup 4.56 + 1.07 5.13 + 1.32 .880 0.82-0.92 <.001

INR > 5.0 subgroup 6.14 + 0.69 6.81 + 0.83 .676 0.38-0.89 .002

Abbreviations: INR, international normalized ratio; SD, standard deviation.

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Figure 3. Comparison of international normalized ratio (INR) measurements between the 2 methods by scatter plot (A) and Bland-Altman diagram (B) in the INR range of <2.0 in 153 patients.

Figure 5. Comparison of international normalized ratio (INR) measurements between the 2 methods by scatter plot (A) and Bland-Altman diagram (B) in the INR range of >3.5 in 67 patients.

Figure 4. Comparison of international normalized ratio (INR) measurements between the 2 methods by scatter plot (A) and Bland-Altman diagram (B) in the INR range of 2.0 to 3.5 in 213 patients.

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CoaguChek XS coagulometer correlated well with traditional laboratory testing (STAGO STAR) in multiple clinical settings. CoaguChek XS coagulometer provides rapid and reliable INR analysis for clinical management of the patients who are on VKA therapy.

Oral anticoagulants are widely used for the treatment of car-diovascular diseases, such as AF/flutter, valvular heart disease, and venous/arterial thromboembolism. Although novel oral anticoagulants provide successful prevention of thromboembo-lism in patients with nonvalvular AF and venous thromboem-bolism, VKA is still necessary for many patients, particularly for those with rheumatic heart diseases and prosthetic valves. Although the number of patients receiving VKA has consis-tently increased, the therapeutic success is highly dependent on the requirements to maintain the INR within a narrow target range, which includes frequent testing and appropriate dose adjustments. The risk of hemorrhagic and thromboembolic complications associated with the use of VKAs renders the rou-tine INR monitoring mandatory for patient safety. Oral anticoa-gulation therapy should be managed in a systematic and coordinated fashion, incorporating patient education, systema-tic INR testing, followup, and good patient communication of results and compliance for dose adjustments.

Classical laboratory methods for INR testing analyze plasma samples and need whole blood collection and plasma separation by centrifugation, which requires a considerable

amount of time and work load. Portable coagulometers are increasingly being used in general practice by primary health-care providers and by patients in home settings and have the potential to improve management of anticoagulation therapy. The sample size required for these POC devices is much smaller (10 mL) and easier to obtain as compared with standard methods. Another advantage of the POC devices is the imme-diate availability of results, which enhances clinical decision making and therapeutic monitoring. Patients can have their test result managed by their health care provider (patient self-test-ing), or they can interpret their INR result and adjust their own dose of anticoagulant accordingly (patient self-management). Previous systematic reviews showed that self-monitoring is a safe intervention, which gives rise to significant reduction in thromboembolic events while reducing the risk of death. Addi-tionally, patients spend more time in the therapeutic range of INR than they would without self-monitoring.10-12 However, there have been several documented limitations regarding the accuracy of these devices, including differences compared with a standard plasma-based laboratory method, especially in supretherapeutic INR ranges.13

We have compared the INR results of the CoaguChek XS coagulometer and a standard laboratory method (STAGO STA-R) in the current study, and there was a considerably high correlation between the 2 methods. However, we observed that the mean difference of INR measurements tended to increase as the mean INR values increased. This observation led us to eval-uate the performance of CoaguChek XS in 18 patients who had INR values >5.0. There was only a moderate correlation between the 2 methods in this subgroup. Similar findings were observed in a study carried out by Donaldson et al which demonstrated that the greater the INR value, the lower the cor-relation was detected between the methods studied.14The clin-ical impact of the increasing discrepancy between the methods in patients with supratherapeutic INR is unknown, however it may be necessary to double check the results with the labora-tory findings in patients with INR values >5.0.

Although numerical differences may occur in the INR results between both the methods, these may not be clinically significant. It is important to evaluate whether there would be a change in the treatment, meaning a modification in the oral anticoagulant dose. Several studies suggest that both methods can be considered comparable as long as both INRs are within the therapeutic range or if both present a maximum difference of 0.5 INR units, regardless of the oral anticoagulation level.15,16 Our study demonstrated that the mean difference of INR obtained by CoaguChek XS compared to the standard labora-tory testing was of 0.26 INR units.

In addition to the statistical evaluation of the correlation between the methods, it is important to analyze the clinical agreement between the results generated by both methods. So the data were also categorized according to therapeutic levels and the 2 methods were compared for consistency by k analy-sis. In our study, the clinical agreement was excellent with a concordance of 84.3% . It is noteworthy that in none of the cases the disagreement between the methods would lead to

Table 5. The Summary of Accuracy Analysis Between the 2 Methods.

Results STAGO STA-R CoaguChek

Total participants (n¼ 433) INR, mean + SD 2.54 + 1.17 2.79 + 1.39 Difference, mean + SD 0.26 + 0.40 95% CI limits of difference 0.54 to 1.05 Difference 0.5, n (%) 98 (22.6) INR < 2 subgroup (n: 153, 35.3%) INR, mean + SD 1.45 + 0.34 1.51 + 0.41 Difference, mean + SD 0.06 + 0.16 95% CI limits of difference 0.25 to 0.373 Difference 0.5, n (%) 3 (1.9) 2 INR  3.5 subgroup (n: 213, 49.1%) INR, mean + SD 2.68 + 0.44 2.97 + 0.61 Difference, mean + SD 0.30 + 0.36 95% CI limits of difference 0.41 to 1.01 Difference 0.5, n (%) 59(27.7) INR>3.5 subgroup (n: 67, 15.4%) INR, mean + SD 4.56 + 1.07 5.13 + 1.32 Difference, mean + SD 0.56 + 0.63 95% CI limits of difference 0.67 to 1.79 Difference 0.5, n (%) 36 (53.7) INR > 5 subgroup (n: 18, 4.1%) INR, mean + SD 6.14 + 0.69 6.81 + 0.83 Difference, mean + SD 0.66 + 0.62 95% CI limits of difference 0.54 to 1.88 Difference 0.5, n (%) 11 (61.1)

Abbreviations: INR, international normalized ratio; CI, confidence interval; SD, standard deviation.

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an antagonistic behavior (dose elevation vs dose reduction or vice versa).

Limitations

The only limitation of the present study was that all INR mea-surements with CoaguChek XS coagulometer were performed by an experienced physician; however, in real practice patients measure their INR by their own.

Conclusion

The determination of INR using the CoaguChek XS device is very satisfactory compared with the standard laboratory (STAGO STA-R) method. In our experience, the CoaguChek XS coagulometer has the potential to significantly optimize the routine INR monitoring of patients who are on oral anticoagu-lation with VKA.

Declaration of Conflicting Interests

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this arti-cle: The authors report nonfinancial support from Roche Diagnostics Turkey A.S¸. during the conduct of the study. Roche Diagnostics Tur-key A.S¸. has supported CoaguChek XS strips used in this study.

Funding

The author(s) received no financial support for the research, author-ship, and/or publication of this article.

References

1. Wan Y, Heneghan C, Perera R, et al. Anticoagulation control and prediction of adverse events in patients with atrial fibrillation: a systematic review. Circ Cardiovasc Qual Outcomes. 2008;1(2): 84-91.

2. Kearon C, Kahn SR, Agnelli G, Goldhaber S, Raskob GE, Comer-ota AJ. Antithrombotic therapy for venous thromboembolic dis-ease: American College of Chest Physicians Evidence-Based

Clinical Practice Guidelines (8th Edition). Chest. 2008;133(suppl 6):454-545.

3. Phillips K, Ansell J. The outpatient management of oral vitamin K antagonist therapy: defining and measuring high quality manage-ment. Expert Rev Cardiovasc Ther. 2008:6(1):57-70.

4. Fang MC, Chang Y, Hylek EM, et al. Advanced age, anticoagula-tion intensity, and risk for intracranial hemorrhage among patients taking warfarin for atrial fibrillation. Ann Intern Med. 2004; 141(10):745-752.

5. Boulanger L, Kim J, Friedman M, Hauch O, Foster T, Menzin J. Patterns of use of antithrombotic therapy and quality of anticoa-gulation among patients with non-valvular atrial fibrillation in clinical practice. Int J Clin Pract. 2006;60(3):258-264.

6. Holbrook AM, Pereira JA, Labiris R, et al. Systematic overview of warfarin and its drug and food interactions. Arch Intern Med. 2005;165(10):1095-1106.

7. Karon BS, McBane RD, Chaudhry R, Beyer LK, Santrach PJ. Accuracy of capillary whole blood international normalized ratio on the CoaguChek S, CoaguChek XS, and i-STAT 1 point-of-care analyzers. Am J Clin Pathol. 2008;130(1):88-92.

8. Nam MH, Roh KH, Pak HN, et al. Evaluation of the Roche Coa-guChek XS handheld coagulation analyzer in a cardiac outpatient clinic. Ann Clin Lab Sci. 2008;38(1):37-40.

9. Christensen TD, Larsen TB. Precision and accuracy of point-of-care testing coagulometers used for testing and self-management of oral anticoagulation therapy. J Thromb Haemost. 2012;10(2):251-260.

10. Bloomfield HE, Krause A, Greer N, et al. Meta-analysis: effect of patient self-testing and self-management of long-term anticoagu-lation on major clinical outcomes. Ann Intern Med. 2011;154(7): 472-482.

11. Heneghan C, Ward A, Perera R. Self-monitoring trialist colla-boration. Self-monitoring or oral anticoagulation: systematic review and meta-analysis of individual patient data. Lancet. 2012;379(9813):322-334.

12. DeSantis G, Hogan-Schlientz J, Liska G, et al. Real-world war-farin patients achieve and maintain high time in target range, Figure 6. Comparison of international normalized ratio (INR) measurements between the 2 methods by scatter plot (A) and Bland-Altman diagram (B) in the INR range of >5 in 18 patients.

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showing suitability for patient self-testing across all age groups. Amer J Hematol. 2012;87(suppl 1):S149.

13. Moore GW, Henley A, Cotton SS, Tugnait S, Rangarajan S. Clini-cally signifcant differences between point-of-care analysers and a standard analyser for monitoring the international normalized ratio in oral anticoagulant therapy: a multi-instrument evaluation in a hospital outpatient setting. Blood Coagul Fibrinolysis. 2007; 18(3):287-292.

14. Donaldson M, Sullivan J, Norbeck A. Comparison of interna-tional normalized ratios provided by two point-of-care devices and laboratory-based venipuncture in a pharmacist-managed

anticoagulation clinic. Am J Health-Syst Pharm. 2010;67(19): 1616-1622.

15. Anderson DR, Harrison L, Hirsh J. Evaluation of a portable pro-thrombin time monitor for home use by patients who require long-term oral anticoagulant therapy. Arch Intern Med. 1993;153(12): 1441-1447.

16. Shermock KM, Bragg L, Connor JT, Fink J, Mazzoli G, Kottke-Marchant K. Differences in warfarin dosing decisions based on international normalized ratio measurements with two point-of-care testing devices and a reference laboratory measurement. Pharmacotherapy. 2002;22(11):1397-1404.

Şekil

Table 1. The List of Indications for Use of VKAs in Study Population.
Figure 2. The scatter plot graph illustrating the strong correlation between the international normalized ratio (INR) values obtained by portable CoaguChek XS and laboratory STAGO STA-R coagulometers (A)
Table 4. The Summary of the Correlation Analysis Between the 2 Methods in Total and Subgroups.
Figure 3. Comparison of international normalized ratio (INR) measurements between the 2 methods by scatter plot (A) and Bland-Altman diagram (B) in the INR range of &lt;2.0 in 153 patients.
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