Literature DB >> 15975095

Screening for diabetes in Indigenous populations using glycated haemoglobin: sensitivity, specificity, post-test likelihood and risk of disease.

K G Rowley1, M Daniel, K O'Dea.   

Abstract

AIMS: Screening for diabetes using glycated haemoglobin (HbA1c) offers potential advantages over fasting glucose or oral glucose tolerance testing. Current recommendations advise against the use of HbA1c for screening but test properties may vary systematically across populations, according to the diabetes prevalence and risk. We aimed to: (i) characterize the properties of test cut-offs of HbA1c for diagnosis of diabetes relative to a diagnosis based on a fasting plasma glucose concentration of 7.0 mmol/l for high-risk Indigenous populations; and (ii) examine test properties across a range of diabetes prevalence from 5 to 30%.
METHODS: Data were collected from Aboriginal and Torres Strait Islander communities in Australia and a Canadian First Nations community (diabetes prevalence 12-22%) in the course of diabetes diagnostic and risk factor screening programmes (n = 431). Screening test properties were analyzed for the range of HbA1c observed (3-12.9%).
RESULTS: In separate and pooled analyses, a HbA1c cut point of 7.0% proved the optimal limit for classifying diabetes, with summary analysis results of sensitivity = 73 (56-86)%, specificity = 98 (96-99)%, overall agreement (Youden's index) = 0.71, and positive predictive value (for an overall prevalence of 18%) = 88%. For diabetes prevalence from 5 to 30% the post-test likelihood of having diabetes given HbA1c = 7.0% (positive predictive value) ranged from 62.7 to 93.2%; for HbA1c < 7.0%, the post-test likelihood of having diabetes ranged from 4.5 to 27.7%.
CONCLUSIONS: The results converge with research on the likelihood of diabetes complications in supporting a HbA1c cut-off of 7.0% in screening for diabetes in epidemiological research. Glycated haemoglobin has potential utility in screening for diabetes in high-risk populations.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15975095     DOI: 10.1111/j.1464-5491.2005.01447.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  7 in total

Review 1.  The HbA1c and all-cause mortality relationship in patients with type 2 diabetes is J-shaped: a meta-analysis of observational studies.

Authors:  Luke W Arnold; Zhiqiang Wang
Journal:  Rev Diabet Stud       Date:  2014-08-10

2.  Insulin, glucose and glycated hemoglobin in Alzheimer's and vascular dementia with and without superimposed Type II diabetes mellitus condition.

Authors:  R O Domínguez; E R Marschoff; E M Guareschi; M G Repetto; A L Famulari; M A Pagano; J A Serra
Journal:  J Neural Transm (Vienna)       Date:  2007-08-30       Impact factor: 3.575

3.  How much might achievement of diabetes prevention behaviour goals reduce the incidence of diabetes if implemented at the population level?

Authors:  R K Simmons; A-H Harding; R W Jakes; A Welch; N J Wareham; S J Griffin
Journal:  Diabetologia       Date:  2006-03-01       Impact factor: 10.122

4.  HbA1c of 6.5% to diagnose diabetes mellitus -- does it work for us? -- the Bellville South Africa study.

Authors:  Annalise E Zemlin; Tandi E Matsha; Mogamat S Hassan; Rajiv T Erasmus
Journal:  PLoS One       Date:  2011-08-12       Impact factor: 3.240

5.  The Association between HbA1c and Cardiovascular Disease Markers in a Remote Indigenous Australian Community with and without Diagnosed Diabetes.

Authors:  Luke W Arnold; Wendy E Hoy; Suresh K Sharma; Zhiqiang Wang
Journal:  J Diabetes Res       Date:  2016-02-17       Impact factor: 4.011

6.  Cardiac Time Intervals Measured by Tissue Doppler Imaging M-mode: Association With Hypertension, Left Ventricular Geometry, and Future Ischemic Cardiovascular Diseases.

Authors:  Tor Biering-Sørensen; Rasmus Mogelvang; Peter Schnohr; Jan Skov Jensen
Journal:  J Am Heart Assoc       Date:  2016-01-19       Impact factor: 5.501

7.  The association of diabetes and the prognosis of COVID-19 patients: A retrospective study.

Authors:  Zhelong Liu; Xi Bai; Xia Han; Wangyan Jiang; Lin Qiu; Shi Chen; Xuefeng Yu
Journal:  Diabetes Res Clin Pract       Date:  2020-08-25       Impact factor: 5.602

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.