1. The effect of a structured clinical algorithm on glycemic control in patients with combined tuberculosis and diabetes in Indonesia: A randomized trial.
- Author
-
Ruslami R, Koesoemadinata RC, Soetedjo NNM, Imaculata S, Gunawan Y, Permana H, Santoso P, Alisjahbana B, McAllister SM, Grint D, Critchley JA, Hill PC, and van Crevel R
- Subjects
- Algorithms, Female, Humans, Indonesia, Male, Middle Aged, Treatment Outcome, Diabetes Mellitus, Type 2 drug therapy, Glycemic Control methods, Tuberculosis drug therapy
- Abstract
Aims: Diabetes mellitus (DM) is associated with worse tuberculosis (TB) treatment outcomes, especially among those with poor glycemic control. We examined whether a structured clinical algorithm could improve glycemic control in TB patients with DM., Methods: In an open label randomized trial, TB-DM patients were randomized to scheduled counselling, glucose monitoring, and adjustment of medication using a structured clinical algorithm (intervention arm) or routine DM management (control arm), with glycated hemoglobin (HbA1c) at month 6 as the primary end point., Results: We randomized 150 pulmonary TB-DM patients (92% culture positive, 51.3% male, mean age 53 years). Baseline mean HbA1c was 11.0% in the intervention arm (n = 76) and 11.6% in the control arm (n = 74). At 6 months, HbA1c had decreased more in the intervention arm compared with the control arm (a difference of 1.82% HbA1c, 95% CI 0.82-2.83, p < 0.001). Five patients were hospitalized in the intervention arm and seven in the control arm. There was more hypoglycemia (35.0% vs 11.8%; p = 0.002) in the intervention arm. Two deaths occurred in the intervention arm, one due to cardiorespiratory failure and one because of suspected septic shock and multiorgan failure., Conclusion: Regular monitoring and algorithmic adjustment of DM treatment led to improved glycemic control., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF