Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes

2020 Cell Metabolism 1,620 citations

Abstract

Type 2 diabetes (T2D) is a major comorbidity of COVID-19. However, the impact of blood glucose (BG) control on the degree of required medical interventions and on mortality in patients with COVID-19 and T2D remains uncertain. Thus, we performed a retrospective, multi-centered study of 7,337 cases of COVID-19 in Hubei Province, China, among which 952 had pre-existing T2D. We found that subjects with T2D required more medical interventions and had a significantly higher mortality (7.8% versus 2.7%; adjusted hazard ratio [HR], 1.49) and multiple organ injury than the non-diabetic individuals. Further, we found that well-controlled BG (glycemic variability within 3.9 to 10.0 mmol/L) was associated with markedly lower mortality compared to individuals with poorly controlled BG (upper limit of glycemic variability exceeding 10.0 mmol/L) (adjusted HR, 0.14) during hospitalization. These findings provide clinical evidence correlating improved glycemic control with better outcomes in patients with COVID-19 and pre-existing T2D.

Keywords

GlycemicMedicineType 2 diabetesComorbidityInternal medicineHazard ratioDiabetes mellitusCoronavirus disease 2019 (COVID-19)Retrospective cohort studyPsychological interventionConfidence intervalEndocrinologyInsulinDisease

MeSH Terms

AgedBetacoronavirusBlood GlucoseCOVID-19Coronavirus InfectionsDiabetes MellitusType 2Disease SusceptibilityFemaleGlycemic IndexHospitalizationHumansHyperglycemiaHypoglycemic AgentsLongitudinal StudiesMaleMiddle AgedMultiple Organ FailurePandemicsPneumoniaViralRetrospective StudiesSARS-CoV-2

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Publication Info

Year
2020
Type
article
Volume
31
Issue
6
Pages
1068-1077.e3
Citations
1620
Access
Closed

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1620
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89
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1239
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Cite This

Lihua Zhu, Zhi‐Gang She, Xu Cheng et al. (2020). Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes. Cell Metabolism , 31 (6) , 1068-1077.e3. https://doi.org/10.1016/j.cmet.2020.04.021

Identifiers

DOI
10.1016/j.cmet.2020.04.021
PMID
32369736
PMCID
PMC7252168

Data Quality

Data completeness: 90%