Using automated HbA1c testing to detect diabetes mellitus in orthopedic inpatients and its effect on outcomes

Elif I. Ekinci, Alvin Kong, Leonid Churilov, Natalie Nanayakkara, Wei Ling Chiu, Priya Sumithran, Frida Djukiadmodjo, Erosha Premaratne, Elizabeth Owen-Jones, Graeme Kevin Hart, Raymond Robbins, Andrew Hardidge, Douglas Johnson, Scott T. Baker, Jeffrey D. Zajac

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    Abstract

    Aims: The prevalence of diabetes is rising, and people with diabetes have higher rates of musculoskeletal- related comorbidities. HbA1c testing is a superior option for diabetes diagnosis in the inpatient setting. This study aimed to (i) demonstrate the feasibility of routine HbA1c testing to detect the presence of diabetes mellitus, (ii) to determine the prevalence of diabetes in orthopedic inpatients and (iii) to assess the association between diabetes and hospital outcomes and post-operative complications in orthopedic inpatients. 

    Methods: All patients aged ≥54 years admitted to Austin Health between July 2013 and January 2014 had routine automated HbA1c measurements using automated clinical information systems (CERNER). Patients with HbA1c ≥6.5% were diagnosed with diabetes. Baseline demographic and clinical data were obtained from hospital records. 

    Results: Of the 416 orthopedic inpatients included in this study, 22% (n = 93) were known to have diabetes, 4% (n = 15) had previously unrecognized diabetes and 74% (n = 308) did not have diabetes. Patients with diabetes had significantly higher Charlson comorbidity scores compared to patients without diabetes (median, IQR; 1 [0,2] vs 0 [0,0], p<0.001). After adjusting for age, gender, comorbidity score and estimated glomerular filtration rate, no significant differences in the length of stay (IRR = 0.92; 95%CI: 0.79-1.07; p = 0.280), rates of intensive care unit admission (OR = 1.04; 95%CI: 0.42-2.60, p = 0.934), 6-month mortality (OR = 0.52; 95%CI: 0.17-1.60, p = 0.252), 6-month hospital readmission (OR = 0.93; 95%CI: 0.46-1.87; p = 0.828) or any post-operative complications (OR = 0.98; 95%CI: 0.53-1.80; p = 0.944) were observed between patients with and without diabetes. 

    Conclusions: Routine HbA1c measurement using CERNER allows for rapid identification of inpatients admitted with diabetes. More than one in four patients admitted to a tertiary hospital orthopedic ward have diabetes. No statistically significant differences in the rates of hospital outcomes and post-operative complications were identified between patients with and without diabetes.

    Original languageEnglish
    Article numbere0168471
    Pages (from-to)1-12
    Number of pages12
    JournalPLoS One
    Volume12
    Issue number1
    DOIs
    Publication statusPublished - 6 Jan 2017

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  • Cite this

    Ekinci, E. I., Kong, A., Churilov, L., Nanayakkara, N., Chiu, W. L., Sumithran, P., Djukiadmodjo, F., Premaratne, E., Owen-Jones, E., Hart, G. K., Robbins, R., Hardidge, A., Johnson, D., Baker, S. T., & Zajac, J. D. (2017). Using automated HbA1c testing to detect diabetes mellitus in orthopedic inpatients and its effect on outcomes. PLoS One, 12(1), 1-12. [e0168471]. https://doi.org/10.1371/journal.pone.0168471