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McCafferty R, Cembrowski G, de la Salle B, Peng M, Urrechaga E. ICSH review of internal quality control policy for blood cell counters. Int J Lab Hematol 2024; 46:216-226. [PMID: 38214063 DOI: 10.1111/ijlh.14220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 11/24/2023] [Indexed: 01/13/2024]
Abstract
INTRODUCTION This paper is a report of an ICSH review of policies and practices for internal quality control (IQC) policy for haematology cell counters among regulatory bodies, cell counter manufacturers and diagnostic laboratories. It includes a discussion of the study findings and links to separate ICSH guidance for such policies and practices. The application of internal quality control (IQC) methods is an essential pre-requisite for all clinical laboratory testing including the blood count (Full Blood Count, FBC, or Complete Blood Count, CBC). METHODS The ICSH has gathered information regarding the current state of practice through review of published guidance from regulatory bodies, a questionnaire to six major cell counter manufacturers (Abbott Diagnostics, Beckman Coulter, Horiba Medical Diagnostic Instruments & Systems, Mindray Medical International, Siemens Healthcare Diagnostics and Sysmex Corporation) and a survey issued to 191 diagnostic laboratories in four countries (China, Republic of Ireland, Spain and the United Kingdom) on their IQC practice and approach to use of commercial IQC materials. RESULTS This has revealed diversity both in guidance and in practice around the world. There is diversity in guidance from regulatory organizations in regard to IQC methods each recommends, clinical levels to use and frequency to run commercial controls, and finally recommended sources of commercial controls. The diversity in practice among clinical laboratories spans the areas of IQC methods used, derivation of target values and action limits used with control materials, and frequency of running commercial controls materials. CONCLUSIONS These findings and their implications for IQC Practice are discussed in this paper. They are used to inform a separate guidance document, which proposes a harmonized approach to address the issues faced by diagnostic laboratories.
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McCafferty R, Cembrowski G, de la Salle B, Peng M, Urrechaga E. ICSH guidance for internal quality control policy for blood cell counters. Int J Lab Hematol 2024; 46:227-233. [PMID: 38189640 DOI: 10.1111/ijlh.14212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 11/01/2023] [Indexed: 01/09/2024]
Abstract
This paper is a description of the ICSH guidance for internal quality control (IQC) policy for blood cell counters. It follows from and links to a separate ICSH review for such policies and practices. The ICSH has gathered information regarding the current state of practice through review of published guidance from regulatory bodies, a questionnaire to six major cell counter manufacturers and a survey issued to 191 diagnostic laboratories in four countries (China, the Republic of Ireland, Spain, and the United Kingdom) on their IQC practice and approach to the use of commercial IQC materials. This has revealed diversity both in guidance and in practice around the world. There is diversity in guidance from regulatory organizations in regard to IQC methods each recommends, clinical levels to use and frequency to run commercial controls, and finally recommended sources of commercial control materials. The diversity in practice among clinical laboratories spans the areas of IQC methods used, derivation of target values, and action limits used with commercial control materials, and frequency of running commercial controls materials. These findings and their implications for IQC Practice are addressed in this guidance document, which proposes a harmonized approach to address the issues faced by diagnostic laboratories.
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Affiliation(s)
| | | | | | | | - Eloisa Urrechaga
- Haematology Department, Hospital Galdakao Usansolo, Galdakao, Spain
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Cembrowski G, Qiu Y, Sherazi A, Shea JL. Retrospective analysis of intra-patient laboratory variation demonstrates that the BD Vacutainer® Barricor™ blood collection tube reduces troponin variation. Clin Biochem 2023; 114:24-29. [PMID: 36706798 DOI: 10.1016/j.clinbiochem.2023.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 11/14/2022] [Accepted: 01/23/2023] [Indexed: 01/26/2023]
Abstract
OBJECTIVE The BD Vacutainer® Barricor™ plasma blood collection tube uses a mechanical separator during centrifugation to separate plasma from the cellular elements of blood. Compared to use of plasma separator tubes (PST™) with gel, Barricor™ produces a cleaner sample with less residual cellular content. We sought to determine if Barricor™ reduces pre-analytical error compared to PST™. DESIGN & METHODS We used a model previously published that utilizes serial differences between intra-patient measurements transformed into a Taylor series of variation vs time with the y-intercept equal to the sum of short-term analytic variation, preanalytic variation and biologic variation. The intra-patient variation of chloride, sodium, potassium, and troponin-T (hs-TnT) obtained from the Emergency Department of a large tertiary care center sampled with PST™ (May 2015-April 2018, n = 59,762 specimens) or Barricor™ (May 2018-May 2021, n = 61,512 specimens) was evaluated. All specimens were analyzed on either Roche Modular or Cobas® instruments. For each analyte, pairs of intra-patient results were tabulated and separated by 1 h intervals. The average between-pair variations were then regressed against time. We also determined the number of intra-patient outliers using the reference change value for each analyte. RESULTS The Barricor™ hs-TnT y-intercept (-0.0132) was significantly lower than the PST™ intercept (0.9109; p = 0.022). This was also true for chloride (y-intercept = 1.0067 in Barricor™ and 1.3431 in PST™, p = 0.037). The percentage of hs-TnT outliers was significantly lower in Barricor™ (8.32 %) vs PST™ (12.2 %; p < 0.001). CONCLUSION The analytical and biological variations are assumed to be steady over the study periods; we ascribe the difference in the y-intercept to the preanalytical effect of the Barricor™ tube reducing platelets and other cellular debris.
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Affiliation(s)
- George Cembrowski
- Laboratory Medicine and Pathology, University of Alberta, Cembrowski & Cembrowski Quality Control Consulting, Edmonton, AB, Canada
| | - Yuelin Qiu
- Faculty of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Ali Sherazi
- Department of Research Services, Saint John Regional Hospital, Horizon Health Network, Saint John, NB, Canada; Department of Laboratory Medicine, Saint John Regional Hospital, Horizon Health Network, Saint John, NB, Canada
| | - Jennifer L Shea
- Department of Laboratory Medicine, Saint John Regional Hospital, Horizon Health Network, Saint John, NB, Canada; Department of Pathology, Dalhousie University, Halifax, NS, Canada.
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Cembrowski GS, Lyon AW, McCudden C, Qiu Y, Xu Q, Mei J, Tran DV, Sadrzadeh SMH, Cervinski MA. Transformation of Sequential Hospital and Outpatient Laboratory Data into Between-Day Reference Change Values. Clin Chem 2022; 68:595-603. [PMID: 35137000 DOI: 10.1093/clinchem/hvab271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 11/15/2021] [Indexed: 11/14/2022]
Abstract
BACKGROUND Serial differences between intrapatient consecutive measurements can be transformed into Taylor series of variation vs time with the intersection at time = 0 (y0) equal to the total variation (analytical + biological + preanalytical). With small preanalytical variation, y0, expressed as a percentage of the mean, is equal to the variable component of the reference change value (RCV) calculation: (CVA2 + CVI2)1/2. METHODS We determined the between-day RCV of patient data for 17 analytes and compared them to healthy participants' RCVs. We analyzed 653 consecutive days of Dartmouth-Hitchcock Roche Modular general chemistry data (4.2 million results: 60% inpatient, 40% outpatient). The serial patient values of 17 analytes were transformed into 95% 2-sided RCV (RCVAlternate), and 3 sets of RCVhealthy were calculated from 3 Roche Modular analyzers' quality control summaries and CVI derived from biological variation (BV) studies using healthy participants. RESULTS The RCVAlternate values are similar to RCVhealthy derived from known components of variation. For sodium, chloride, bicarbonate calcium, magnesium, phosphate, alanine aminotransferase, albumin, and total protein, the RCVs are equivalent. As expected, increased variation was found for glucose, aspartate aminotransferase, creatinine, and potassium. Direct bilirubin and urea demonstrated lower variation. CONCLUSIONS Our RCVAlternate values integrate known and unknown components of analytic, biologic, and preanalytic variation, and depict the variations observed by clinical teams that make medical decisions based on the test values. The RCVAlternate values are similar to the RCVhealthy values derived from known components of variation and suggest further studies to better understand the results being generated on actual patients tested in typical laboratory environments.
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Affiliation(s)
- George S Cembrowski
- Faculty of Medicine & Dentistry, Laboratory Medicine and Pathology, University of Alberta, Alberta, Canada
| | - Andrew W Lyon
- Saskatoon Health Region, Pathology and Laboratory Medicine, Saskatoon, Canada
| | - Christopher McCudden
- Department of Pathology & Laboratory Medicine, University of Ottawa Faculty of Medicine, Ottawa, Canada
| | - Yuelin Qiu
- Medical Student, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Qian Xu
- Family Practice, Vancouver, British Columbia
| | - Junyi Mei
- Faculty of Medicine, University of Toronto, Toronto, Canada
| | | | - S M Hossein Sadrzadeh
- Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Mark A Cervinski
- Laboratory Medicine, Geisel School of Medicine, Dartmouth, NH, USA
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DeLuca A, Betz J, Bollinger R, Ray S, Manabe Y. Users beware! Biological variation in complete blood counts over short time intervals. BMJ Evid Based Med 2019; 24:207-208. [PMID: 31142555 DOI: 10.1136/bmjebm-2018-111150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/04/2019] [Indexed: 11/03/2022]
Affiliation(s)
- Andrea DeLuca
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Joshua Betz
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Stuart Ray
- Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Yukari Manabe
- Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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Chai JH, Flatman R, Teis B, Sethi SK, Badrick T, Loh TP. Indirect derivation of biological variation data and analytical performance specifications for therapeutic drug monitoring activities. Pathology 2019; 51:281-285. [PMID: 30803737 DOI: 10.1016/j.pathol.2018.12.418] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 11/28/2018] [Accepted: 12/22/2018] [Indexed: 11/19/2022]
Abstract
We applied the indirect approach using anonymised data from an Australian and a Singapore laboratory to derive biological variation data for a group of 10 therapeutic drugs routinely monitored. A series of inclusion and exclusion criteria were applied on the data. The within- (CVi) and between-individual (CVg) biological variation data were then derived as previously described. The corresponding index of individuality and analytical performance specifications were also calculated. The biological variation data were overall very similar between the two study sites. Moreover, the biological variation data were also comparable between males and females, as well as whether the data originated from patients who only had two episodes of measurement during the study period or from the last two results from patients who had more than two episodes of measurement during the study period. The results presented in this study contribute towards the biological variation data for therapeutic drugs, which can be used to inform discussions about the setting of harmonised analytical performance specifications for these measurands.
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Affiliation(s)
- Jia Hui Chai
- Department of Laboratory Medicine, National University Hospital, Singapore
| | | | - Benjamin Teis
- Sullivan Nicolaides Pathology, Brisbane, Qld, Australia
| | - Sunil Kumar Sethi
- Department of Laboratory Medicine, National University Hospital, Singapore
| | - Tony Badrick
- Royal College of Pathologists of Australasia Quality Assurance Programs, Sydney, NSW, Australia
| | - Tze Ping Loh
- Department of Laboratory Medicine, National University Hospital, Singapore; Biomedical Institution for Global Health and Technology, National University of Singapore, Singapore.
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Cembrowski GS, Xu Q, Cembrowski AR, Mei J, Sadrzadeh H. Impaired clinical utility of sequential patient GEM blood gas measurements associated with calibration schedule. Clin Biochem 2017; 50:936-941. [DOI: 10.1016/j.clinbiochem.2017.03.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 03/13/2017] [Accepted: 03/13/2017] [Indexed: 12/22/2022]
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