Using a Diabetes Risk Score to Identify Patients Without Diabetes at Risk for New Hyperglycemia in the Hospital |
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Institution: | 1. Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin;2. Division of Diabetes and Endocrinology, Zablocki Veteran Affairs Medical Center, Milwaukee, Wisconsin;3. Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin |
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Abstract: | ObjectiveTo assess the value of a validated diabetes risk test, the Cambridge Risk Score (CRS), to identify patients admitted to hospital without diabetes at risk for new hyperglycemia (NH).MethodsThis retrospective cross-sectional study included adults admitted to a hospital over a 4-year period. Patients with no diabetes diagnosis and not on antidiabetics were included. The CRS was calculated for each patient, and those with available glycated hemoglobin (HbA1C) results were investigated in a second analysis. Multivariate regression analyses were performed to assess the association among CRS, HbA1C, and the risk for NH.ResultsA total of 19,830 subjects comprised the sample, of which 38% were found to have developed NH, defined as a blood glucose level ≥140 mg/dL. After accounting for covariates, the CRS was significantly associated with NH (odds ratio OR], 1.19 1.16, 1.22]; P < .001). Only 17% of patients had their HbA1C values checked within 6 months of admission. Compared with patients without diabetes, patients with prediabetes based on their HbA1C level (OR, 1.59 1.37, 1.86]; P < .001) and patients with undiagnosed diabetes (OR, 5.95 3.50, 10.65]; P < .001) were also significantly more likely to have NH.ConclusionResults of this study show that the CRS and HbA1C levels were significantly associated with the risk of developing NH in inpatient adults without diabetes. Given that an HbA1C level was missing in most medical records of hospitalized patients without diabetes, the CRS could be a useful tool for early identification and management of NH, possibly leading to better outcomes. |
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Keywords: | stress hyperglycemia inpatient diabetes management perioperative diabetes BG"} {"#name":"keyword" "$":{"id":"kwrd0020"} "$$":[{"#name":"text" "_":"blood glucose BMI"} {"#name":"keyword" "$":{"id":"kwrd0030"} "$$":[{"#name":"text" "_":"body mass index CRS"} {"#name":"keyword" "$":{"id":"kwrd0040"} "$$":[{"#name":"text" "_":"Cambridge Risk Score HbA1C"} {"#name":"keyword" "$":{"id":"kwrd0050"} "$$":[{"#name":"text" "_":"glycated hemoglobin NH"} {"#name":"keyword" "$":{"id":"kwrd0060"} "$$":[{"#name":"text" "_":"new hyperglycemia OR"} {"#name":"keyword" "$":{"id":"kwrd0070"} "$$":[{"#name":"text" "_":"odds ratio POC"} {"#name":"keyword" "$":{"id":"kwrd0080"} "$$":[{"#name":"text" "_":"point-of-care |
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