THURSDAY, Jan. 12, 2023 (HealthDay News) — In a research article published online Jan. 4 in Clinical Epidemiology, long-term glycemia trajectories, which can be predicted by a combination of factors, are identified for patients with type 2 diabetes.
Piia Lavikainen, Ph.D., from the University of Eastern Finland in Kuopio, and colleagues extracted data covering primary and specialized health care for 9,631 patients with type 2 diabetes. Six-year hemoglobin A1c (HbA1c) trajectories were examined. To predict trajectory membership, a linear discriminant analysis and neural networks were applied.
Over six years, thee HbA1c trajectories were distinguished: stable, adequate; improving but inadequate; and fluctuating, inadequate glycemic control (86.5, 7.3, and 6.2 percent, respectively). The researchers found that the most important predictors for the long-term treatment balance were prior glucose levels, type 2 diabetes duration, use of insulin only, use of insulin and oral antidiabetic medications, and use of metformin only. Balanced accuracy was 85 percent for the prediction model, and the area under the receiver operating characteristic curve was 91 percent.
“Our findings suggest that heterogeneity in long-term treatment outcomes is predictable with [a] patient’s unique risk factors,” the authors write. “This, in turn, offers a useful tool to support treatment planning in the future. However, future studies are needed to obtain even more accurate and personalized predictions.”
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