Glycemic control metrics assessed by flash glucose monitoring in an adults hospitalized with COVID-19
HTML
PDF (Español (España))

Keywords

COVID-19
steroids
hyperglycemia
monitoring
glycemic control
mortality
adverse outcomes

How to Cite

Yepes, C. A., Mora Mendez, J. M., Moscoso Ospina, E. A. ., Gómez González, J. A. ., Quevedo Mayorga, P. A. ., Rivera, M. C., & Espinosa, D. A. (2023). Glycemic control metrics assessed by flash glucose monitoring in an adults hospitalized with COVID-19 . Revista Colombiana De Endocrinología, Diabetes &Amp; Metabolismo, 10(2). https://doi.org/10.53853/encr.10.2.756

Abstract

Background: The use of in-hospital flash glucose monitoring (CGM) can facilitate medical decision.

Purpose: Describe the glycemic behavior in hospitalized patients with COVID-19 evaluated by CGM and to explore the association between in-hospital glycemic control and adverse outcomes. Additionally describe the security of the resistant correction scheme.

Methodology: Prospective cohort.

Results: 27 patients were included. Twenty-five had at least one adverse outcome. (25.9% ICU, 11.1% septic shock, 40.7% ARDS, 25.9% acute kidney injury, and 22.2% acute cardiac injury). Mean capillary glucose was 245 mg/dl, mean interstitial glucose 180 mg/dl, time in range (TIR) ??70-180 mg/dl 52.9%, time above time in range (TAR) >180 mg /dl 43.7%, below the time in range (TBR) <70 mg/dl 4.8% and the coefficient of variation (CV) 35.2%. The best discriminative capacity was for CV with an AUC of 0.70 (95% CI 0.45-0.94). In 11 patients, at least one correction was performed using the resistant scheme of the 2012 international guideline without inducing hypoglycemia. 69% achieved a goal measurement five hours later.

Conclusions: The CGM can facilitate the understanding of the relationship between glycemic control during hospitalization and adverse clinical outcomes. The coefficient of variation showed the best performance to predict clinical complications compared to the rest of the metrics. Glycemic control in patients receiving dexamethasone is challenging and requires an approach that includes not only basal and prandial insulin but also an appropriate correction regimen.

https://doi.org/10.53853/encr.10.2.756
HTML
PDF (Español (España))

References

Maguiña-Vargas C, Gastelo-Acosta R, Tequen-Bernilla A. El nuevo Coronavirus y la pandemia del COVID-19. Rev Med Hered. 2020;31(2):125-31. https://doi.org/10.20453/rmh.v31i2.3776

Londoño J, Gómez J, González A. Consenso colombiano de atención, diagnóstico y manejo de la infección por SARS-CoV-2/COVID-19 en establecimientos de atención en salud. Recomendaciones basadas en consenso de expertos e informadas en la evidencia. ACIN. 2021;25(4):491.

The Recovery Collaborative Group. Dexamethasone in Hospitalized Patients with Covid-19. N Engl J Med. 2021;384(8):693-704. https://doi.org/10.1056/NEJMoa2021436

Tabares RG, González FA, Villa EO, Reyes SF, Echevarría IC. Diabetes, hiperglucemia y evolución de pacientes con la COVID-19. Rev Cubana Med Mil. 2021;50(2):16.

Chabla-Inga MF, Mesa-Cano IC, Ramírez-Coronel AA, Jaya-Vásquez LC. Diabetes como factor de riesgo de mortalidad intrahospitalaria en pacientes con COVID-19: revisión sistemática. Zenodo. 2021. https://doi.org/10.5281/zenodo.5038352

Bellido V, Pérez A. Consecuencias de la COVID-19 sobre las personas con diabetes. Endocrinol Diabetes Nutr. 2020;67(6):355-6. https://doi.org/10.1016/j.endinu.2020.04.001

Torres-Tamayo M, Caracas-Portillo NA, Peña-Aparicio B, Juárez-Rojas JG, Medina-Urrutia AX, Martínez-Alvarado M. Infección por coronavirus en pacientes con diabetes. Cardiovasc Metab Sci. 2020;31(S3):235-46. https://doi.org/10.35366/93954

Guo W, Li M, Dong Y, Zhou H, Zhang Z, Tian C, et al. Diabetes is a risk factor for the progression and prognosis of COVID ?19. Diabetes Metab Res Rev. 2020;36(7). https://doi.org/10.1002/dmrr.3319

Figueroa-Triana JF, Salas-Márquez DA, Cabrera-Silva JS, Alvarado-Castro CC, Buitrago-Sandoval AF. COVID-19 y enfermedad cardiovascular. Rev Colomb Cardiol. 2020;27(3):166-74. https://doi.org/10.1016/j.rccar.2020.04.004

Zhang Y, Cui Y, Shen M, Zhang J, Liu B, Dai M, et al. Comorbid Diabetes Mellitus was Associated with Poorer Prognosis in Patients with COVID-19: A Retrospective Cohort Study. Respir Med. 2020. https://doi.org/10.1101/2020.03.24.20042358

Umpierrez GE, Smiley D, Jacobs S, Peng L, Temponi A, Mulligan P, et al. Randomized Study of Basal-Bolus Insulin Therapy in the Inpatient Management of Patients With Type 2 Diabetes Undergoing General Surgery (RABBIT 2 Surgery). Diabetes Care. 2011;34(2):256-61. https://doi.org/10.2337/dc10-1407

Umpierrez GE, Hellman R, Korytkowski MT, Kosiborod M, Maynard GA, Montori VM, et al. Management of Hyperglycemia in Hospitalized Patients in Non-Critical Care Setting: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2012;97(1):16-38. https://doi.org/10.1210/jc.2011-2098

Gómez-Medina AM, Yepes-Cortés CA, Duarte-Osorio A, Henao-Carrillo D, Jaramillo-Parra P, Stephens-Leal I, et al. Consenso para el uso de monitoreo de glucosa flash en la población adulta colombiana con diabetes mellitus tipo 1 y 2. Acta Med Col. 2022;47(2). https://doi.org/10.36104/amc.2022.2239

Yepes CA, Mora JM, Moscoso E, Rodríguez JA, León LA, Gomez J, et al. 103-LB: Comparison of Two Hyperglycemia Correction Scales in Hospitalized Patients with Diabetes Mellitus Type 2-CAPADOCIA 2 Trial. Diabetes. 2022;71(supl. 1):103-LB. https://doi.org/10.2337/db22-103-LB

Gómez AM, Henao DC, Muñoz OM, Aschner P, Yepes CA, Jojoa R, et al. Glycemic control metrics using flash glucose monitoring and hospital complications in patients with COVID-19. Diabetes Metab Syndr: Clin Res Rev. 2021;15(2):499-503. https://doi.org/10.1016/j.dsx.2021.02.008

Hussain A, Bhowmik B, do Vale-Moreira NC. COVID-19 and diabetes: Knowledge in progress. Diabetes Res Clin Pract. 2020;162:108142. https://doi.org/10.1016/j.diabres.2020.108142

Wu X, Luo S, Zheng X, Ding Y, Wang S, Ling P, et al. Glycemic control in children and teenagers with type 1 diabetes around lockdown for COVID?19: A continuous glucose monitoring?based observational study. J Diabetes Investig. 2021;12(9):1708-17. https://doi.org/10.1111/jdi.13519

Lanspa MJ, Dickerson J, Morris AH, Orme JF, Holmen J, Hirshberg EL. Coefficient of glucose variation is independently associated with mortality in critically ill patients receiving intravenous insulin. Crit Care. 2014;18(2):R86. https://doi.org/10.1186/cc13851

Li J, Lu J, Tobore-Igbe, Liu Y, Kandwal A, Wang L, et al. Gradient variability coefficient: a novel method for assessing glycemic variability and risk of hypoglycemia. Endocrine. 2022;76(1):29-35. https://doi.org/10.1007/s12020-021-02950-4

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2023 Revista Colombiana de Endocrinología, Diabetes & Metabolismo

Dimensions


PlumX


Downloads

Download data is not yet available.