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Published on: June 11, 2012
Detecting undiagnosed diabetes using glycated haemoglobin: an automated screening test in hospitalised patients
Nyoli A Valentine1, Tariq M Alhawassi, Greg W Roberts
1Sturt Fleurieu General Practice Education and Training, Adelaide, SA, Australia.
Insights
Automated glycated haemoglobin (HbA1c) screening effectively identifies undiagnosed diabetes in hospitalized patients. This cost-effective method reveals an 11% prevalence, highlighting the need for integrated community management strategies.
Area of Science:
- Clinical Medicine
- Endocrinology
- Public Health
Background:
- Undiagnosed diabetes poses a significant public health challenge.
- Hospitalized patients represent a key demographic for identifying undiagnosed diabetes.
- Current screening methods may have limitations in accuracy and efficiency.
Purpose of the Study:
- To evaluate glycated haemoglobin (HbA1c) as an automated screening tool for undiagnosed diabetes in hospitalized individuals.
- To determine the prevalence of previously unrecognized diabetes mellitus among this patient population.
Main Methods:
- A prospective 3-month study involving adult patients admitted to a tertiary hospital.
- Automated HbA1c testing was performed on admission for patients with random plasma glucose (RPG) ≥ 5.5 mmol/L.
- Data on demographics, admissions, and biochemistry were collected; a subset underwent post-discharge oral glucose tolerance tests (OGTT).
Main Results:
- The prevalence of undiagnosed diabetes was 11% (95% CI, 9.8%-12.4%), with higher rates in the 65-74 age group.
- Automated HbA1c testing proved more effective than RPG screening.
- The cost per new diagnosis was $152, with an estimated ongoing cost of $2100 annually.
- Post-discharge OGTT compliance was low (27%).
Conclusions:
- Glycated haemoglobin (HbA1c) offers a simple, automated, and cost-effective method for screening undiagnosed diabetes in hospitalized patients.
- Effective hospital screening requires concurrent community-based management resources.
- Automated HbA1c testing is a valuable tool for identifying diabetes in acute care settings.
Objective:
To assess the utility of glycated haemoglobin (HbA(1c)) level as an automated screening test for undiagnosed diabetes among hospitalised patients and to estimate the prevalence of undiagnosed diabetes among hospitalised patients.
Design, Participants And Setting:
A 3-month prospective study of all adult patients admitted to a tertiary hospital. An HbA(1c) test was automatically undertaken on admission for all patients with a random plasma glucose (RPG) level ≥ 5.5 mmol/L. Demographic, admission and biochemical data were obtained from hospital databases. A subset of patients was recruited for an oral glucose tolerance test (OGTT) after discharge.
Main Outcome Measures:
Prevalence of undiagnosed diabetes (defined as HbA(1c) ≥ 6.5% in accordance with International Expert Committee and American Diabetes Association recommendations) and utility of automated HbA(1c) testing.
Results:
The prevalence of undiagnosed diabetes was 11% (95% CI, 9.8%-12.4%) (262/2360) during the study period. A further 312 patients with known diabetes were admitted. The prevalence of undiagnosed diabetes was highest in the 65-74-years age group. The HbA(1c) test cost was $152 per new diagnosis of diabetes. Conservatively assuming an annual incidence of undiagnosed diabetes of 0.8%, the ongoing cost of testing hospitalised patients would be $2100 per new diagnosis of diabetes. RPG testing was not sensitive or specific in diagnosing diabetes. Patients were poorly compliant with the post-discharge OGTT (27% completion rate).
Conclusions:
HbA(1c) is a simple, inexpensive screening test that can be automated using existing clinical blood samples. Hospital screening for diabetes needs to be coupled with resources for management in the community.
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