We have used Heska equipment in our emergency practice from the start. Not only is it extremely cost effective, it provides repeatable, accurate results. We trust and depend on it in the middle of the night. The chemistry analyzer makes serial electrolyte checks affordable enough to do, and the Element POC provides solid blood gas information.
Associated Data
Supplementary Materials
Abstract
The epoc® blood analysis system (Epocal Inc., Ottawa, Ontario, Canada) is a newly developed in vitro diagnostic hand-held analyzer for testing whole blood samples at point-of-care, which provides blood gas, electrolytes, ionized calcium, glucose, lactate, and hematocrit/calculated hemoglobin rapidly. The analytical performance of the epoc® system was evaluated in a tertiary hospital, see related research article “Analytical evaluation of the epoc® point-of-care blood analysis system in cardiopulmonary bypass patients” [1]. Data presented are the linearity analysis for 9 parameters and the comparison study in 40 cardiopulmonary bypass patients on 3 epoc® meters, Instrumentation Laboratory GEM4000, Abbott iSTAT, Nova CCX, and Roche Accu-Chek Inform II and Performa glucose meters.
Specifications table
| Subject area | Chemistry, Biology |
| More specific subject area | Point-of-care testing |
| Type of data | Figure |
| How data was acquired | The epoc® blood analysis system (Epocal Inc., Ottawa, Ontario, Canada) |
| Data format | Analyze data |
| Experimental factors | Patients under cardiopulmonary bypass were all heparinized as routine |
| Experimental features | Linearity was evaluated using 5 levels of Eurotrol epoc Calibration Verification Fluids and 5 levels of Eurotrol epoc Hematocrit Verification Fluids (Eurotrol B.V., Keplerlaan, The Netherlands) on 3 epoc® blood analysis systems. Linearity materials were analyzed in triplicate on each system. Remnant specimens from cardiopulmonary bypass patients collected in plain 3 mL syringe for routine clinical analysis on GEM4000 in the cardiovascular operating room were used. After being analyzed on GEM4000 and all 3 epoc meters, samples were analyzed in Abbott iSTAT, Nova CCX analyzer, Roche Accu-Chek Inform II and Performa glucose meters side by side, with all measurements performed within 5 min. |
| Data source location | Saint John, New Brunswick, Canada |
| Data accessibility | Data are within this article |
Value of the data
- • Detailed analytical linearity analysis for 9 parameters on the epoc® meters was presented.
- • Comparison study was conducted on 40 cardiopulmonary bypass patients.
- • The data helps medical laboratories and point-of-care testing users to make an informed decision on blood gas analyzer selection.
1. Data
The data contains information on the analytical linearity performances for 9 parameters on 3 epoc® meters (Supplementary Fig. 1). It also contains information on the cardiopulmonary bypass patient sample comparison study for analytical accuracy performance for 8 parameters on 3 epoc® meters (Fig. 1, Fig. 2, Fig. 3, Fig. 4).
The comparison study of the epoc® point-of-care blood analysis system with the GEM4000 in cardiopulmonary bypass patients.
The comparison study of the epoc® point-of-care blood analysis system with the iSTAT in cardiopulmonary bypass patients.
The comparison study of the epoc® point-of-care blood analysis system with the Nova CCX in cardiopulmonary bypass patients.
The comparison study of the epoc® point-of-care blood analysis system with the Roche glucose meters in cardiopulmonary bypass patients.
Epoc Blood Gas Analyzer Pdf
2. Experimental design, materials and methods
2.1. The epoc® blood analysis system
The epoc® blood analysis system (Epocal Inc., Ottawa, Ontario, Canada) is a newly developed hand-held analyzer for testing whole blood samples at point-of-care, which provides blood gas, electrolytes, ionized calcium, glucose, lactate, and hematocrit/calculated hemoglobin in 30 seconds. This system contains a test card, a wireless card reader, and a host mobile computer. pH, pCO2, sodium, potassium, and ionized calcium are measure potentiometrically; pO2, glucose, and lactate are measured amperometrically, whereas hematocrit is determined conductometrically [2]. Hemoglobin is calculated from the measured hematocrit using the formula: Hemoglobin (g/L)=Hematocrit (decimal fraction)×340 [3], [4].
2.2. Linearity study
The epoc® point-of-care blood analysis system was evaluated using several Clinical and Laboratory Standards Institute (CLSI) evaluation protocols for testing the linearity (EP6) [5]. Five levels of Eurotrol epoc Calibration Verification Fluids (Eurotrol B.V., Keplerlaan, The Netherlands, lot#183-B407), and 5 levels of Eurotrol epoc Hematocrit Verification Fluids (Eurotrol B.V., Keplerlaan, The Netherlands, lot#190-B404) were measured on all three epoc® blood analysis systems. These linearity materials were analyzed in triplicate on each system respectively.
2.3. Comparison study
The epoc® point-of-care blood analysis system was evaluated using several Clinical and Laboratory Standards Institute (CLSI) evaluation protocols for testing the accuracy (EP15) [6] and bias (EP9) [7]. Remnant specimens from 40 heparinized CPB patients collected in plain 3 mL syringe (Becton Dickinson, Franklin Lakes, New Jersey) for routine clinical analysis on GEM4000 (Instrumentation Laboratory, Bedford, MA, USA) in the cardiovascular operating room of the Saint John Regional Hospital, Horizon Health Network, were used for this study. Samples collected were of arterial, mixed venous, and venous types. After being analyzed on GEM4000 and all 3 epoc meters (therefore total epoc® measurements were up to 118), samples were analyzed in Abbott iSTAT (Abbott Point of Care, Princeton, NJ, USA), Nova CCX analyzer (Nova Biomedical Corporation, Waltham, MA, USA), Accu-Chek Inform II and Performa glucose meters (Roche Diagnostics, Basel, Switzerland) side by side, with all measurements performed within 5 min. All testing devices were run according to manufacturers’ instructions by a medical laboratory technologist. These arrangements attempted to eliminate pre-analytical errors associated with blood analysis, such as different sample collection containers and sensitive specimen stability [8], [9].
2.4. Statistical method
Statistical analysis was carried out using Microsoft Excel. The best fit line by linear regression was used to evaluate assay linearity (Supplementary Fig. 1). Regression analysis was used to evaluate method comparisons (Fig. 1, Fig. 2, Fig. 3, Fig. 4). Bland–Altman analysis was constructed to assess systematic bias between methods (see Ref. [1]). Comparison studies on hemoglobin measurements see Fig. 1 in Ref. [1].
Footnotes
Appendix ASupplementary data associated with this article can be found in the online version at doi:10.1016/j.dib.2016.01.040.
Appendix A. Supplementary material
Sony mgongo 6.2 user manual. Supplementary material
Supplementary material
Supplementary material
Supplementary material
Supplementary material
Supplementary material
References
Epoc System Manual