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Mkumbi GG, Boaz M. Prevalence of poor glycemic control and the monitoring utility of glycated albumin among diabetic patients attending clinic in tertiary hospitals in Dodoma, Tanzania: A cross-sectional study protocol. PLoS One 2024; 19:e0289388. [PMID: 39231139 PMCID: PMC11373853 DOI: 10.1371/journal.pone.0289388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 06/16/2024] [Indexed: 09/06/2024] Open
Abstract
The burden of diabetes is rising in developing countries, and this is significantly linked to the increasing prevalence of poor glycemic control. The cost of glycated haemoglobin (HbA1c) testing is a barrier to timely glycemic assessments, but newer tests such as glycated albumin may be cheaper and tempting alternatives. Additional research must ascertain if glycated albumin (GA) can act as a viable supplement or alternative to conventional HbA1c measurements for glycemic control in diabetic individuals. GA as a biomarker is an emerging area of interest, particularly for those who display unreliable HbA1c levels or cannot afford the test. This study aims to investigate the prevalence of poor glycemic control in outpatient diabetic patients and the utility of glycated albumin in this population's monitoring of glycemic control. Method. A cross-sectional study of 203 diabetic patients will be conducted at the Dodoma Regional Referral Hospital and Benjamin Mkapa Hospital from August 1st, 2023, to August 31st, 2024. Patients diagnosed with diabetes mellitus for over six months will be screened for eligibility. Informed consent, history, clinical examination, and voluntary blood sample collection will be obtained from all eligible patients. Glycated Albumin levels will be obtained from the same blood samples collected. The glycemic status of all patients will be defined as per HbA1c, and a level of greater than 7% will considered as a poor control. The analysis will be computed with SPSS version 28.0, and a predictor variable, P<0.05, will be regarded as statistically significant, with the utility of GA determined by plotting the area under the ROC curve and the confusion matrix.
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Affiliation(s)
- George Gabriel Mkumbi
- Department of Internal Medicine, School of Medicine and Dentistry, The University of Dodoma, Dodoma, Tanzania
- Department of Internal Medicine, Benjamin Mkapa Hospital, Dodoma, Tanzania
| | - Matobogolo Boaz
- Department of Internal Medicine, School of Medicine and Dentistry, The University of Dodoma, Dodoma, Tanzania
- Department of Internal Medicine, Benjamin Mkapa Hospital, Dodoma, Tanzania
- Department of Internal Medicine, University of Dodoma Hospital, Dodoma, Tanzania
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Li M, Chen W, Deng Y, Xie W. Impacts of cardiometabolic risk factors and alcohol consumption on all-cause mortality among MASLD and its subgroups. Nutr Metab Cardiovasc Dis 2024; 34:2085-2094. [PMID: 38902191 DOI: 10.1016/j.numecd.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/07/2024] [Accepted: 05/15/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND AND AIMS Recently, metabolic dysfunction-associated steatotic liver disease (MASLD) has been introduced. However, research on this new nomenclature and definition remains limited. This study aims to assess the impact of cardiometabolic risk factors and alcohol consumption on all-cause mortality in MASLD and its subgroups. METHODS AND RESULTS We included 2408 participants with MASLD in NHANES III and their linked mortality through 2019. MASLD patients were divided into two groups based on alcohol consumption: Pure MASLD and MetALD. The Cox proportional hazard model was used to assess the association between factors and all-cause mortality. During the median 26.0-year follow-up, there were 1040 deaths. The multivariable Cox regression analysis revealed a significant increase of over two-fold in the all-cause mortality rate among patients with four or more cardiometabolic risk factors compared to those with only one. When focusing on each component of cardiometabolic risk factors individually, only diabetes and hypertension were significantly associated with all-cause mortality (p < 0.05). In a subgroup analysis, each additional cardiometabolic factor was linked to an increase in all-cause mortality in both pure MASLD (hazard ratio 1.16; 95% CI 1.06-1.28; p = 0.002) and MetALD (HR 1.77; 95% CI 1.26-2.49; p = 0.001). Notably, an elevation in alcohol consumption was significantly associated with an increase in all-cause mortality rate only in the MetALD (p < 0.001). CONCLUSIONS This study found that the presence of diabetes or hypertension was significantly associated with all-cause mortality. We also explored the different impacts of these factors and alcohol consumption within MASLD subgroups.
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Affiliation(s)
- Mengqi Li
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wenya Chen
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - You Deng
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wen Xie
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
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Gough A, Sitch A, Ferris E, Marshall T. Within-subject variation of HbA1c: A systematic review and meta-analysis. PLoS One 2023; 18:e0289085. [PMID: 37531355 PMCID: PMC10395823 DOI: 10.1371/journal.pone.0289085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/11/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND Glycosylated haemoglobin (HbA1c) measurement is used to diagnose and to guide treatment of diabetes mellitus. Within-subject variability in measured HbA1c affects its clinical utility and interpretation, but no comprehensive systematic review has described within-subject variability. METHODS A systematic review and meta-analysis was performed of within-subject variability of HbA1c. Multiple databases were searched from inception to November 2022 for follow-up studies of any design in adults or children, with repeated measures of HbA1c or glycosylated haemoglobin. Title and abstract screening was performed in duplicate, full text screening and data extraction by one reviewer and verified by a second. Risk of bias of included papers was assessed using a modified consensus-based standards for the selection of health measurement Instruments (COSMIN) tool. Intraclass correlation coefficient (ICC) results were pooled with a meta-analysis and coefficient of variation (CV) results were described by median and range. RESULTS Of 2675 studies identified, 111 met the inclusion criteria. Twenty-five studies reported variability data in healthy patients, 19 in patients with type 1 diabetes and 59 in patients with type 2 diabetes. Median within-subject coefficient of variation (CV) was 0.070 (IQR 0.034 to .09). For healthy subjects the median CV for HbA1c % was 0.017 (IQR 0.013 to 0.022), for patients with type 1 diabetes 0.084 (IQR 0.067 to 0.89) and for type 2 diabetes 0.083 (IQR 0.06 to 0.10). CV increased with mean population HbA1c. LIMITATIONS Assessment of variability was not the main aim of many of the included studies and some relevant papers may have been missed. Many included papers had few participants or few repeated measurements. CONCLUSIONS Within-subject variability of HbA1c is higher for patients with than without diabetes and increases with mean population HbA1c. This may confound observed relationships between HbA1c variability and health outcomes. Because of its importance in clinical decision-making there is a need for better estimates and understanding of factors associated with of HbA1c variability.
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Affiliation(s)
- Alex Gough
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Alice Sitch
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Erica Ferris
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Tom Marshall
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
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Ma L, Zhang B, Luo L, Shi R, Wu Y, Liu Y. Biological variation estimates obtained from Chinese subjects for 32 biochemical measurands in serum. Clin Chem Lab Med 2022; 60:1648-1660. [PMID: 35977427 DOI: 10.1515/cclm-2021-0928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 06/24/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES The European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) have established a program of work to make available, and to enable delivery of well characterized data describing the biological variation (BV) of clinically important measurands. Guided by the EFLM work the study presented here delivers BV estimates obtained from Chinese subjects for 32 measurands in serum. METHODS Samples were drawn from 48 healthy volunteers (26 males, 22 females; age range, 21-45 years) for 5 consecutive weeks at Chinese laboratory. Sera were stored at -80 °C before triplicate analysis of all samples on a Cobas 8000 modular analyzer series. Outlier and homogeneity analyses were performed, followed by CV-ANOVA, to determine BV estimates with confidence intervals. RESULTS The within-subject biological variation (CVI) estimates for 30 of the 32 measurands studied, were lower than listed on the EFLM database; the exceptions were alanine aminotransferase (ALT), lipoprotein (a) (LP(a)). Most of the between-subject biological variation (CVG) estimates were lower than the EFLM database entries. CONCLUSIONS This study delivers BV data for a Chinese population to supplement the EFLM BV database. Population differences may have an impact on applications of BV Data.
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Affiliation(s)
- Liming Ma
- Department of Clinical Laboratory, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, P.R. China
| | - Bin Zhang
- Department of Clinical Laboratory, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, P.R. China
| | - Limei Luo
- Department of Clinical Laboratory, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, P.R. China
| | - Rui Shi
- Department of Clinical Laboratory, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, P.R. China
| | - Yonghua Wu
- Department of Clinical Laboratory, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, P.R. China
| | - Yunshuang Liu
- Department of Clinical Laboratory, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, P.R. China
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Tao X, Koguma R, Nagai Y, Kohzuma T. Analytical performances of a glycated albumin assay that is traceable to standard reference materials and reference range determination. J Clin Lab Anal 2022; 36:e24509. [PMID: 35595963 PMCID: PMC9280011 DOI: 10.1002/jcla.24509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/25/2022] [Accepted: 04/21/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Glycated albumin (GA) is an intermediate-term marker for monitoring glycemic control (preceding 2-3 weeks) in patients with diabetes mellitus. We evaluated the performance of Lucica Glycated Albumin-L, a new GA assay that is traceable to standard reference materials and determined the reference range in healthy subjects without diabetes. METHODS The performance and reference range studies were conducted in accordance with Clinical and Laboratory Standards Institute (CLSI) Guidelines. The traceability was established using reference material recommended by the Japan Society of Clinical Chemistry (JSCC). RESULTS The coefficient of variation (CV) of overall repeatability, within-laboratory precision, and overall reproducibility values of GA values were not more than 2.6%, 3.3%, and 1.6%, respectively, among laboratories. The GA values showed good linearity from 173 to 979 mmol/mol (9.4%-54.9%) across the assay range. The GA reference range in 262 healthy subjects was between 183 and 259 mmol/mol (9.9%-14.2%) while that of subjects with diabetes was 217-585 mmol/mol (11.8-32.6%). The reagent was stable for 2 months on the bench at room temperature. The limits of blank, detection, and qualification were 6.9, 7.9, and 9.7 μmol/L for GA concentration, and 3.8, 7.0, and 21.8 μmol/L for albumin concentration, respectively. Hemoglobin slightly affected the assay, while other classical interfering substances had no significant impact. CONCLUSIONS The present GA assay shows comparable performance to current clinical assays and could be used for intermediate-term monitoring of glycemic control in diabetes patients.
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Affiliation(s)
- Xinran Tao
- Diagnostics DepartmentAsahi Kasei Pharma Corporation, IVD Kit Product GroupYurakuchoJapan
| | - Ryosuke Koguma
- Diagnostics DepartmentAsahi Kasei Pharma Corporation, IVD Kit Product GroupYurakuchoJapan
| | - Yoko Nagai
- Diagnostics DepartmentAsahi Kasei Pharma Corporation, IVD Kit Product GroupYurakuchoJapan
| | - Takuji Kohzuma
- Diagnostics DepartmentAsahi Kasei Pharma Corporation, IVD Kit Product GroupYurakuchoJapan
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Ricós C, Fernández-Calle P, Gonzalez-Lao E, Simón M, Díaz-Garzón J, Boned B, Marqués-García F, Minchinela J, Perich MC, Tejedor-Ganduxé X, Corte Z, Aarsand AK, Aslan B, Carobene A, Coskun A, Sandberg S. Evaluación crítica y meta-análisis de estudios de variación biológica para albúmina glicosilada, glucosa y HbA 1c. ADVANCES IN LABORATORY MEDICINE 2020; 1:20200040. [PMCID: PMC10197261 DOI: 10.1515/almed-2020-0040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 04/15/2020] [Indexed: 06/28/2023]
Abstract
Objetivos A lo largo de los años se han publicado numerosos artículos sobre variación biológica (VB) de diferente calidad. Los objetivos de este trabajo fueron realizar una revisión sistemática y una evaluación crítica de los estudios de VB para albúmina glicosilada y proporcionar datos actualizados de VB para glucosa y HbA1c, incluyendo prestigiosos estudios recientemente publicados como el Estudio de Variación Biológica Europea (EuBIVAS). Métodos Se hizo una búsqueda bibliográfica sistemática para identificar estudios sobre VB, encontrándose 9 estudios no incluidos en la primera revisión: 4 para albúmina glicosilada, 3 para glucosa y 3 para HbA1c. Se realizó una evaluación crítica de los estudios relevantes, utilizando la herramienta Biological Variation Data Critical Appraisal Checklist (BIVAC). Se obtuvieron los estimados globales de VB mediante meta-análisis de los estudios que cumplían los requisitos BIVAC, realizados en individuos sanos con estudios de diseño similar. Resultados Un estudio recibió el grado A, dos el B y 6 el C. en la mayoría de los casos el grado C se asoció a deficiencias en el análisis estadístico de los datos. Los estimados de VB para albúmina glicosilada fueron: CVI = 1,4%(1,2–2,1) y CVG = 5,7%(4,7–10,6); para HbA1c, CVI = 1,2%(0,3–2,5), CVG = 5,4%(3,3–7,3) y para glucosa, CVI = 5,0%(4,1–12,0), CVG = 8,1%(2,7–10,8) no difirieron de los estimados globales previamente descritos. Conclusiones La evaluación crítica y clasificación de los estudios de VB a tenor de su calidad metodológica, seguido de un meta-análisis, genera estimados de VB robustos y fiables. Este estudio proporciona datos de VB para albúmina glicolisada, glucosa y HbA1c actualizados y basados en la evidencia científica.
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Affiliation(s)
- Carmen Ricós
- Spanish Society of Laboratory Medicine (SEQCML), Analytical Quality Commission, Padilla, 323, Barcelona, España
| | - Pilar Fernández-Calle
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, Task Group on Biological Variation Database, Madrid, España
- EFLM, Working Group on Biological Variation, Madrid, España
- Hospital Universitario La Paz, Madrid, España
| | - Elisabet Gonzalez-Lao
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, Task Group on Biological Variation Database, Madrid, España
- Quality Healthcare, Grupo ACMS, Madrid, España
| | - Margarida Simón
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, Task Group on Biological Variation Database, Vilafranca del Penedes, España
- Consortium of Laboratory Intercomarcal Alt Penedès and Garraf l’Anoia, Vilafranca del Penedes, España
| | - Jorge Díaz-Garzón
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, Task Group on Biological Variation Database, Madrid, España
- EFLM, Working Group on Biological Variation, Madrid, España
- Hospital Universitario La Paz, Madrid, España
| | - Beatriz Boned
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, Task Group on Biological Variation Database, Madrid, España
- Hospital Royo Villanova, Zaragoza, España
| | - Fernando Marqués-García
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, Task Group on Biological Variation Database, Salamanca, España
- Hospital Universitario de Salamanca, Salamanca, España
| | - Joana Minchinela
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, TaskGroup on Biological Variation Database, Badalona, España
- Hospital Germans Trias i Pujol, Badalona, España
| | - Maria Carmen Perich
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, Task Group on Biological Variation Database, Barcelona, España
- Hospital Vall d’Hebron, Barcelona, España
| | - Xavier Tejedor-Ganduxé
- SEQCML, Analytical Quality Commission, Barcelona, España
- EFLM, TaskGroup on Biological Variation Database, Badalona, España
- Hospital Germans Trias i Pujol, Badalona, España
| | - Zoraida Corte
- SEQCML, Analytical Quality Commission, Barcelona, España
- Hospital Universitario San Agustin, Aviles, España
| | - Aasne K. Aarsand
- EFLM, Task Group on Biological Variation Database, Bergen, Norway
- EFLM, Working Group on Biological Variation, Bergen, Norway
- Haukeland University Hospital, Bergen, Norway
- Norwegian Quality Improvement of Laboratory Examinations, Haraldplass Deaconess Hospital, Bergen, Norway
| | - Berna Aslan
- EFLM, Task Group on Biological Variation Database, Toronto, Canada
- Institute for Quality Management in Healthcare of Canada, Toronto, Canada
| | - Anna Carobene
- EFLM, Task Group on Biological Variation Database, Milan, Italy
- EFLM, Working Group on Biological Variation, Milan, Italy
- Laboratory Medicine, Ospedale San Raffaele, Milan, Italy
| | - Abdurrahman Coskun
- EFLM, Task Group on Biological Variation Database, Istanbul, Turkey
- EFLM, Working Group on Biological Variation, Istanbul, Turkey
- Acibadem Universitesi, Istanbul, Turkey
| | - Sverre Sandberg
- EFLM, Task Group on Biological Variation Database, Bergen, Norway
- EFLM, Working Group on Biological Variation, Bergen, Norway
- Department of Global Public Health, Bergen, Norway
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Ricós C, Fernández-Calle P, Gonzalez-Lao E, Simón M, Díaz-Garzón J, Boned B, Marqués-García F, Minchinela J, Perich MC, Tejedor-Ganduxé X, Corte Z, Aarsand AK, Aslan B, Carobene A, Coskun A, Sandberg S. Critical appraisal and meta-analysis of biological variation studies on glycosylated albumin, glucose and HbA 1c. ADVANCES IN LABORATORY MEDICINE 2020; 1:20200029. [PMID: 37361503 PMCID: PMC10197502 DOI: 10.1515/almed-2020-0029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 04/15/2020] [Indexed: 06/28/2023]
Abstract
OBJECTIVES Numerous biological variation (BV) studies have been performed over the years, but the quality of these studies vary. The objectives of this study were to perform a systematic review and critical appraisal of BV studies on glycosylated albumin and to deliver updated BV estimates for glucose and HbA1c, including recently published high-quality studies such as the European Biological Variation study (EuBIVAS). METHODS Systematic literature searches were performed to identify BV studies. Nine publications not included in a previous review were identified; four for glycosylated albumin, three for glucose, and three for HbA1c. Relevant studies were appraised by the Biological Variation Data Critical Appraisal Checklist (BIVAC). Global BV estimates were derived by meta-analysis of BIVAC-compliant studies in healthy subjects with similar study design. RESULTS One study received BIVAC grade A, 2B, and 6C. In most cases, the C-grade was associated with deficiencies in statistical analysis. BV estimates for glycosylated albumin were: CVI=1.4% (1.2-2.1) and CVG=5.7% (4.7-10.6), whereas estimates for HbA1c, CVI=1.2% (0.3-2.5), CVG=5.4% (3.3-7.3), and glucose, CVI=5.0% (4.1-12.0), CVG=8.1% (2.7-10.8) did not differ from previously published global estimates. CONCLUSIONS The critical appraisal and rating of BV studies according to their methodological quality, followed by a meta-analysis, generate robust, and reliable BV estimates. This study delivers updated and evidence-based BV estimates for glycosylated albumin, glucose and HbA1c.
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Affiliation(s)
- Carmen Ricós
- Spanish Society of Laboratory Medicine (SEQC), Analytical Quality Commission, Barcelona, Spain
- Padilla, 323, Barcelona 08035, Spain
| | - Pilar Fernández-Calle
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, Task Group on Biological Variation Database; EFLM, Working Group on Biological Variation; and Hospital Universitario La Paz, Madrid, Spain
| | - Elisabet Gonzalez-Lao
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, Task Group on Biological Variation Database; and Quality Healthcare, Grupo ACMS, Madrid, Spain
| | - Margarida Simón
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, Task Group on Biological Variation Database; and Consortiumof Laboratory Intercomarcal Alt Penedès and Garraf l’Anoia, Vilafranca del Penedes, Spain
| | - Jorge Díaz-Garzón
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, Task Group on Biological Variation Database; EFLM, Working Group on Biological Variation; and Hospital Universitario La Paz, Madrid, Spain
| | - Beatriz Boned
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, TaskGroup on Biological Variation Database; and Hospital Royo Villanova, Zaragoza, Spain
| | - Fernando Marqués-García
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, Task Group on Biological Variation Database; and Hospital Universitario de Salamanca, Salamanca, Spain
| | - Joana Minchinela
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, TaskGroup on Biological VariationDatabase; and Hospital Germans Trias i Pujol, Badalona, Spain
| | - Maria Carmen Perich
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, Task Group on Biological Variation Database; and Hospital Vall d’Hebron, Barcelona, Spain
| | - Xavier Tejedor-Ganduxé
- SEQC, Analytical Quality Commission, Barcelona, Spain
- EFLM, Task Group on Biological Variation Database; and Hospital Germans Trias i Pujol, Badalona, Spain
| | - Zoraida Corte
- SEQC, Analytical Quality Commission, Barcelona, Spain
- Hospital Universitario San Agustin, Aviles, Spain
| | - Aasne K. Aarsand
- EFLM, Task Group on Biological Variation Database; EFLM, Working Group on Biological Variation; Haukeland University Hospital, Bergen, Norway
- Norwegian Quality Improvement of Laboratory Examinations, Haraldplass Deaconess Hospital, Bergen, Norway
| | - Berna Aslan
- EFLM, Task Group on Biological Variation Database; Institute for Quality Management in Healthcare of Canada, Toronto, Canada
| | - Anna Carobene
- EFLM, Task Group on Biological Variation Database; EFLM,Working Group on Biological Variation; and LaboratoryMedicine, Ospedale San Raffaele, Milan, Italy
| | - Abdurrahman Coskun
- EFLM, Task Group on Biological Variation Database; EFLM, Working Group on Biological Variation; and Acibadem Universitesi, Istanbul, Turkey
| | - Sverre Sandberg
- EFLM, Task Group on Biological Variation Database; EFLM,Working Group on Biological Variation; and Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
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Liang L, He H, Zeng Y, Zhang M, Wang X, Li X, Liang S, An Z, Huang H. Evaluation of biological variation of glycated hemoglobin and glycated albumin in healthy Chinese subjects. J Clin Lab Anal 2018; 33:e22715. [PMID: 30461058 PMCID: PMC6587440 DOI: 10.1002/jcla.22715] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 10/07/2018] [Accepted: 10/18/2018] [Indexed: 02/05/2023] Open
Abstract
Background Glycated hemoglobin (HbA1c) and glycated serum albumin (GSA) are used to evaluate the mean blood glucose levels. To ensure safe clinical application of HbA1c and GSA, reliable biological variation (BV) data are required. The aim of this research was to define the BV of HbA1c and GSA employing stringent rules. Methods Blood samples were drawn from 19 healthy subjects (10 females, nine males) once per week for 5 weeks. All samples were analyzed using enzymatic method for GSA and HPLC for HbA1c. The data were assessed for outliers, normality and variance homogeneity, and coefficient of variation (by ANOVA) for BV. Sex‐stratified BV including within‐subject (CVI) and between‐subject (CVG) was defined for HbA1c and GSA. Results The following estimates for BV values for CVI and CVG, respectively, were GSA: 1.23% and 4.67%, Alb: 0.75% and 3.18%, and HbA1c: 0.12% and 2.91%. The RCV of GSA was 3.61%, and HbA1c was 1.41%. And the II was 0.26 for GSA, and 0.07 for HbA1c, both of them less than 0.6. According to the 95% CI, the CVI of HbA1c was statistically different between females and males. And both the CVG of HbA1c and GSA were statistically different between females and males. Conclusion All CVI and CVG estimates were lower than those reported in the online BV database. And there is a significant difference between males and females. Analytical performance specifications derived from BV of this research can be applied internationally.
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Affiliation(s)
- Libo Liang
- International Medical Centre, West China Hospital of Sichuan University, Chengdu, China
| | - He He
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Yuping Zeng
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Mei Zhang
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Xia Wang
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaoling Li
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Shanshan Liang
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Zhenmei An
- Department of Endocrine and Metabolism, West China Hospital of Sichuan University, Chengdu, China
| | - Hengjian Huang
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
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