In-patient hyperglycemia is associated with poor clinical outcomes, especially in patients with undiagnosed diabetes.
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We propose an algorithm for screening of in-patient hyperglycemia in low resource settings.
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This algorithm should be researched further in low resource and other settings.
Abstract
Background and aims
The coronavirus disease 2019 (COVID-19) pandemic has immensely strained healthcare systems worldwide. Diabetes has emerged as a major comorbidity in a large proportion of patients infected with COVID-19 and is associated with poor health outcomes. We aim to provide a practical guidance on screening of hyperglycemia in persons without known diabetes in low resource settings.
Methods
We reviewed the available guidelines on this subject and proposed an algorithm based on simple measures of blood glucose (BG) which can be implemented by healthcare workers with lesser expertise in low resource settings.
Results
We propose that every hospitalized patient with COVID-19 infection undergo a paired capillary BG assessment (pre-meal and 2-h post-meal). Patients with pre-meal BG < 7.8 mmol/L (140 mg/dL) and post-meal BG < 10.0 mmol/L (180 mg/dL) may not merit further monitoring. On the other hand, those with one or more value above these thresholds should undergo capillary BG monitoring (pre-meals and 2 hours after dinner) for the next 24 hours. When two or more (≥50%) such values are significantly elevated [pre-meal ≥8.3 mmol/L (150 mg/dL) and post-meal ≥11.1 mmol/L (200 mg/dL)], pharmacotherapy should be immediately initiated. On the other hand, in patients with modest elevation of one or more values [pre-meal 7.8–8.3 mmol/L (140–150 mg/dL) and post-meal 10.0–11.1 mmol/L (180–200 mg/dL)], dietary modifications should be initiated and pharmacotherapy considered only if BG control remains suboptimal.
Conclusion
We highlight strategies for screening of hyperglycemia in persons without known diabetes treated for COVID-19 infection in low resource settings. This guidance may well be applied to other settings in the near future.