| Literature DB >> 34220706 |
Cyril P Landstra1, Eelco J P de Koning1.
Abstract
The relationship between COVID-19 and diabetes mellitus is complicated and bidirectional. On the one hand, diabetes mellitus is considered one of the most important risk factors for a severe course of COVID-19. Several factors that are often present in diabetes mellitus are likely to contribute to this risk, such as older age, a proinflammatory and hypercoagulable state, hyperglycemia and underlying comorbidities (hypertension, cardiovascular disease, chronic kidney disease and obesity). On the other hand, a severe COVID-19 infection, and its treatment with steroids, can have a specific negative impact on diabetes itself, leading to worsening of hyperglycemia through increased insulin resistance and reduced β-cell secretory function. Worsening hyperglycemia can, in turn, adversely affect the course of COVID-19. Although more knowledge gradually surfaces as the pandemic progresses, challenges in understanding the interrelationship between COVID-19 and diabetes remain.Entities:
Keywords: COVID-19; SARS-CoV-2; comorbidities; coronavirus; diabetes; mortality; severity; treatment
Year: 2021 PMID: 34220706 PMCID: PMC8247904 DOI: 10.3389/fendo.2021.649525
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Overview of the risk of adverse COVID-19-related outcomes in patients with type 1 and type 2 diabetes mellitus.
| Study population | Number of patients (n) | Outcome | T1D | T2D | |
|---|---|---|---|---|---|
| Barron et al. ( | United Kingdom, nationwide population-based | T1D: 263,830 | Mortality | 3.51 (3.16 – 3.90)#
| 2.03 (1.97 – 2.09)#
|
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| No DM: 58,244,220 | ||||
| McGurnaghan et al. ( | Scotland, nationwide population-based | T1D: 34,383 | Mortality and/or ICU admission | 2.40 (1.82 – 3.16)& | 1.37 (1.28 – 1.47)& |
|
| No DM: 5,143,951 | ||||
| Gregory et al. ( | Nashville, Tennessee, USA, single-center* | T1D: 136 | Hospitalization | 4.60 (3.04 – 6.98)€ | 3.42 (2.94 – 3.99)€ |
|
| No DM: 19,422 |
COVID-19, coronavirus disease 2019; T1D, type 1 diabetes; T2D, type 2 diabetes; DM, diabetes mellitus; OR, odds ratio; CI, confidence interval; ICU, intensive care unit; USA, United States of America.
Φ Gregory et al. have published the initial findings of their prospective cohort study, followed by a report of further analyses on an even higher number of patients. Here, we report the findings of their latest analyses.
* Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
# Adjusted for age, sex, deprivation, ethnicity and geographical region.
$ Adjusted for age, sex, deprivation, ethnicity, geographical region and previous hospital admissions with coronary heart disease, cerebrovascular disease, or heart failure.
& Adjusted for age and sex.
€ Adjusted for age, sex, ethnicity, hypertension, smoking, and body mass index (BMI).
Figure 1Illustration of the interrelationship between SARS-CoV-2, COVID-19 and diabetes. The relationship between COVID-19 and diabetes is complicated and bidirectional. Diabetes mellitus is one of the most important risk factors for severe COVID-19. In a patient with diabetes, the associated comorbidities and diabetes-related complications as well as certain demographic features can further contribute to this higher risk of a severe course of COVID-19. Another key factor is glycemic control. On the one hand, hyperglycemia is a strong risk factor for a more severe course of COVID-19. On the other hand, the hyperinflammation associated with severe COVID-19 as well as its treatment with steroids can cause or worsen hyperglycemia through an effect on insulin target tissues (predominantly liver, muscle and fat cells) reducing insulin sensitivity (insulin resistance), as well as on pancreatic β-cells causing insufficient insulin secretion. There may even be a direct effect of SARS-CoV-2 on the β-cell through the ACE-2 receptor, but this is controversial. Hyperglycemia itself can lead to glucose toxicity, thus further decreasing insulin sensitivity and insulin secretory function. Hereby, the risk of severe COVID-19 in patients with diabetes is increased even further. SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; COVID-19, coronavirus disease 2019; ACE-2, angiotensin converting enzyme 2.
Benefits, risks and recommendations for glucose-lowering and other commonly used treatments in patients with diabetes and COVID-19.
| Medication | Benefits | Risks | Recommendations |
|---|---|---|---|
|
| |||
| Insulin | Careful adjustment for improved glucose regulation possible, associated with better COVID-19 outcomes. | Hypoglycemia, especially in combination with (hydroxy)chloroquine. High dosages could be needed in critically ill patients, especially when treated with steroids. | Do not discontinue, initiate in patients with severe COVID-19. |
| Metformin | Anti-inflammatory properties, no hypoglycemia. | Lactic acidosis in critically ill patients. | Discontinue in patients with a severe course (impaired renal or hepatic function, sepsis, heart failure, respiratory distress). |
| Sulfonylureas | N/A | Hypoglycemia, especially in combination with (hydroxy)chloroquine. | Consider discontinuation based on COVID-19 severity, nutritional status and risk of hypoglycemia. |
| SGLT-2 inhibitors | No hypoglycemia. | Diabetic ketoacidosis and dehydration. | Discontinue in patients with a severe course (impaired renal or hepatic function, sepsis, heart failure, respiratory distress). |
| GLP-1 receptor agonists | Anti-inflammatory properties, no hypoglycemia. | Risk of dehydration with side-effects like vomiting and diarrhea. | Do not discontinue, encourage adequate fluid intake and regular meals. |
| DPP-4 inhibitors | Well-tolerated, no hypoglycemia, usable in wide range of renal function. | N/A | Do not discontinue. |
| Thiazolidinediones | Anti-inflammatory properties, reduction of insulin resistance. | Risk of fluid retention and aggravation of heart failure. | Consider discontinuation in patients with a severe course, particularly patients with heart failure. |
|
| |||
| Statins | Possible beneficial effect on COVID-19-related outcomes, at least no detrimental effects. | N/A | Do not discontinue. |
| ACE-inhibitors/ARBs | Possible beneficial effect on COVID-19-related outcomes, at least no detrimental effects. | N/A | Do not discontinue. |
N/A, not applicable; SGLT-2, sodium-glucose-co-transporter-2; GLP-1, glucagon-like peptide 1; DPP-4, dipeptidyl peptidase 4; ACE, angiontensin-converting enzyme; ARB, angiotensin receptor blocker.
Overview of the risk of adverse COVID-19-related outcomes according to glycemic control.
| Study population | Number of patients (n) | Parameter of glycemic control | Outcome | Risk HR/OR (95% CI) | |
|---|---|---|---|---|---|
|
| |||||
| Holman et al. ( | United Kingdom, nationwide population-based cohort | T1D: 265,090 | HbA1c 59 – 74 mmol/mol (7.6 – 8.9%) | Mortality | T1D: HR 1.16 (0.81 – 1.67)* |
|
| HbA1c 75 – 85 mmol/mol (9.0 – 9.9%) | T1D: HR 1.37 (0.90 – 2.07)* | |||
| HbA1c ≥ 86 mmol/mol (10.0%) | T1D: HR 2.23 (1.50 – 3.30)* | ||||
| Williamson et al. ( | United Kingdom, nationwide population-based cohort | 17,278,392 | HbA1c ≥ 58 mmol/mol (7.5%) | Mortality | HR 2.61 (2.46 – 2.77)#
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| Cariou et al. ( | France, multi-center cohort | 846 | HbA1c 53 – 63 mmol/mol (7.0 – 7.9%) | Mortality | OR 1.55 (0.82 – 2.93)&
|
| Gregory et al. ( | USA, single-center cohort | T1D: 102 | 1st HbA1c quartile | Hospitalization | OR 2.96 (1.11 – 7.86)€
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| Wang et al. ( | China, multi-center retrospective | 605 | Fasting blood glucose level ≥ 7.0 mmol/l (126 mg/dL) | Mortality | HR 2.30 (1.49 – 3.55)~
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| Wu et al. ( | China, multi-center retrospective | 2,041 | Hyperglycemia ≥ 6.1 mmol/l (110 mg/dL) | Critical disease and mortality overall | HR 1.30 (1.03 – 1.63)£
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| Copelli et al. ( | Italy, single-center retrospective | 271 | Hyperglycemia ≥ 7.78 mmol/l (140 mg/dL) | Critical disease and mortality | HR 1.80 (1.03 – 3.15)¥ |
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| Bode et al. ( | USA, multi-center retrospective | 1,122 | Diabetes and/or uncontrolled hyperglycemia (≥ 2 measurements > 10.0 mmol/l (180 mg/dL) within 24h) | Mortality | OR 6.12 (3.63 – 10.31)&φ |
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| |||||
| Zhu et al. ( | China, multi-center retrospective | Total: 7,337 | Normoglycemia (glycemic variability during hospital stay 3.9 – 10.0 mmol/l (70 – 180 mg/dL) versus hyperglycemia (> 10.0 mmol/l (180 mg/dL) | Mortality | HR 0.14 (0.03 – 0.60)ω |
| T2D: 952 | |||||
COVID-19, coronavirus disease 2019; T1D, type 1 diabetes; T2D, type 2 diabetes; HR, hazard ratio; OR, odds ratio; CI, confidence interval; USA, United States of America.
Φ Gregory et al. have published the initial findings of their prospective cohort study, followed by a report of further analyses on an even higher number of patients. Here, we report the findings of their latest analyses.
* Adjusted for age, sex, socioeconomic deprivation, ethnicity, region of residence, duration of diabetes, body mass index (BMI), systolic blood pressure, prescription for antihypertensive drugs, serum total cholesterol, prescription for statins, smoking status, history of myocardial infarction, stroke, heart failure and eGFR.
# Adjusted for age and sex.
$ Adjusted for age, sex, obesity, smoking status, deprivation, cancer, reduced kidney function, asthma, chronic respiratory disease, chronic cardiac disease, hypertension, chronic liver disease, stroke, dementia, other neurological disease, organ transplant, asplenia, rheumatoid arthritis, lupus or psoriasis and any other immunosuppressive condition.
& Unadjusted.
€ Adjusted for age, sex, ethnicity, hypertension, smoking, and body mass index (BMI).
~ Adjusted for age, sex and CRB-65 score (measure of pneumonia severity).
£ Adjusted for age, sex, hypertension, smoking, insulin treatment, glucocorticoids, chronic kidney disease, chronic obstructive pulmonary disease, cancer and admission white cell counts, lymphocyte counts, D-dimer, aspartate transaminase, alanine transaminase and creatinine.
¥ Adjusted for age, sex, hypertension, cerebrovascular disease, chronic obstructive pulmonary disease, chronic kidney disease and cognitive impairment.
φ Calculated from data provided in the original paper.
ω Adjusted by propensity score matching, including age, sex, severity of COVID-19, hypertension, cardiovascular disease, cerebrovascular disease, chronic liver disease and chronic kidney injury.