These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Erythrocytosis and Performance of HbA1c in Detecting Diabetes on an Oxygen-Deficient Plateau: A Population-based Study.
    Author: Ren Q, Lv X, Yang L, Yue J, Luo Y, Zhou L, Meng S, Yang S, Puchi B, Zhou X, Ji L.
    Journal: J Clin Endocrinol Metab; 2020 Apr 01; 105(4):. PubMed ID: 31904080.
    Abstract:
    CONTEXT: The hemoglobin A1c (HbA1c) test is a standard test for diabetes screening and diagnosis. OBJECTIVE: To evaluate A1c performance for diabetes screening in high-altitude polycythemia compared to a population with a high proportion of people living in an oxygen-deficient environment. DESIGN: A population-based epidemiological survey was conducted. SETTING: The cities Lhasa and Shigatse were selected. Volunteers were recruited through educational advertisements about diabetes. PARTICIPANTS: A total of 1401 Tibetan adults without known diabetes. INTERVENTIONS: Oral glucose tolerance test (OGTT), HbA1c, and complete blood cell count were performed. Hemoglobin A1c was evaluated using high-performance liquid chromatography, and serum glucose level, using the hexokinase method. MAIN OUTCOME MEASURES: World Health Organization criteria were used to define diabetes and prediabetes. Hemoglobin A1c test performance was evaluated using receiver operating characteristic analysis. RESULTS: The participants' mean age was 44.3 ± 15.0 years; 33.3% of the participants were men and 38.6% lived in urban areas. The prediabetes and diabetes prevalence rates were 7.5% and 3.6%, respectively. The optimal HbA1c cutoff for detecting diabetes was 46 mmol/mol (6.4%), with a sensitivity and specificity of 60.8% and 93.6%, respectively. The cutoff for detecting diabetes was 6.7% (50 mmol/mol) in subjects with high-altitude polycythemia (HAPC). The relationship between red blood cell (RBC) counts and HbA1c was significant (P < 0.001), while there was no correlation between hemoglobin (Hb) and HbA1c (P = 0.085). Multiple linear regression analysis showed that after adjusting for age and fasting serum glucose or 2-hour OGTT (OGTT2h) serum glucose, RBC count and not Hb level was an independent risk factor for HbA1c (β = 0.140, P < 0.001). CONCLUSIONS: The optimal HbA1c cutoff for detecting diabetes was 46 mmol/mol (6.4%) in Tibet. Red blood cell count was an independent risk factor for elevated HbA1c, and HAPC may affect the predictive ability of HbA1c.
    [Abstract] [Full Text] [Related] [New Search]