key: cord-0860748-z0t43pmx
authors: Targher, G.; Mantovani, A.; Wang, X.-B.; Yan, H.-D.; Sun, Q.-F.; Pan, K.-H.; Byrne, C.D.; Zheng, K.I.; Chen, Y.-P.; Eslam, M.; George, J.; Zheng, M.-H.
title: Patients with diabetes are at higher risk for severe illness from COVID-19
date: 2020-05-13
journal: Diabetes Metab
DOI: 10.1016/j.diabet.2020.05.001
sha: 90df224ef6c180a2de176ea3917f8a5ec8ce9c91
doc_id: 860748
cord_uid: z0t43pmx

• It is currently uncertain whether people with diabetes are at higher risk of severe illness from coronavirus disease 2019 (COVID-19). • We found that diabetes was associated with an approximately 4-fold increased risk of having severe/critical COVID-19 illness. • This association was independent of age, sex, obesity, hypertension and smoking. • These findings highlight the urgent need for a multidisciplinary team-based approach to management of this patient population.

Patients with diabetes are at higher risk for severe illness from COVID-19

The World Health Organisation recently declared the outbreak of severe acute respiratory syndrome Coronavirus 2 disease (COVID-19) a global pandemic [1] . It is known that people with diabetes have a higher overall risk of infection resulting from multiple perturbations of innate immunity [2] . Presently, it remains uncertain whether people with diabetes are also at higher risk of infection and, especially, at greater severity of illness associated with COVID-19. A recent meta-analysis of 30 observational studies (most of which were preprint studies that have yet to be reviewed) showed that pre-existing diabetes is significantly associated with poorer in-hospital clinical outcomes [3] , but none of the included studies have examined whether the impact of diabetes on COVID-19 severity is independent of age, sex and metabolic comorbidities, such as obesity and hypertension. Therefore, in this retrospective study, we aimed to examine the association between diabetes and severity of COVID-19 illness (irrespective of metabolic comorbidities) among in-patients with confirmed COVID-19.

We retrospectively studied a cohort of 339 patients with COVID-19, who were consecutively hospitalised at four sites in Wenzhou, Zhejiang Province (China) between January and February 2020. COVID-19 was diagnosed as a positive result by high-throughput sequencing or real-time reverse transcriptasepolymerase chain reaction assay of oropharyngeal swab specimens. Clinical and laboratory data were collected in all patients at hospital admission. The severity of COVID-19 was assessed during hospitalisation and classified as mild, moderate, severe or critical, according to the COVID-19 management guidance [4] . For the purposes of this analysis, we defined mild and moderate subtypes as ''non-severe COVID-19'', and severe and critically ill subtypes as ''severe COVID-19''. Presence of diabetes was diagnosed as selfreported history of disease, a ''random'' plasma glucose level ! 11.1 mmol/L ( !200 mg/dL) and/or a haemoglobin A1c level ! 48 mmol/mol (HbA1c !6.5%), according to widely accepted diagnostic criteria. Fasting glucose measurements were not available in most of these infected patients. The study protocol was approved by the local ethics committees of the four hospitals. Informed consent was waived by the ethics committee due to both the emergent nature of COVID-19 and the anonymised retrospective nature of the analysis.

In our cohort of 339 patients with laboratory-confirmed COVID-19, 130 (38.4%) patients had obesity (defined as body mass index !25 kg/m 2 ), 79 (23.3%) patients had established hypertension (defined as blood pressure ! 140/90 mmHg or specific drug treatment) and 59 (17.4%) patients had diabetes. As shown in Table 1 , patients with diabetes were more likely to be older, obese and hypertensive and had higher circulating values of neutrophil count, D-dimer, liver enzymes, as well as lower lymphocyte counts, and lower albumin and HDL-cholesterol levels compared with their counterparts without diabetes. As expected, they also had higher levels of random plasma glucose at admission and haemoglobin A1c (available only in a subset of patients). Notably, patients with diabetes had a remarkably greater severity of COVID-19 illness than their counterparts without diabetes.

When we explored the association between random plasma glucose levels and severity of COVID-19 illness (stratified also by history of diabetes), we found that the proportion of severe COVID-19 illness increased progressively (P < 0.0001 by the Fisher's exact test) in relation to glucose abnormalities at admission: 7.1% in patients with random plasma glucose < 5.6 mmmol/L (n = 127; mean AE SD: 4.95 AE 0.4 mmol/L), 20.3% in those with random plasma glucose 5.6-11 mmol/L (n = 153; mean AE SD: 7.03 AE 1.3 mmol/L), 25.6% in those with previously known diabetes (n = 39; mean AE SD: 9.32 AE 5.1 mmol/L), and 65.0% in those with random plasma glucose ! 11.1 mmol/L at hospital admission (n = 20; mean AE SD: 12.0 AE 3.7 mmol/L), respectively.

In binary logistic regression analysis, the presence of diabetes was associated with an approximate 4-fold increased risk of severe COVID-19 illness (unadjusted-odds ratio [OR] 3.83, 95% CI 2.06-7.13, P < 0.0001). Notably, this association remained significant even after adjustment for age, sex, obesity, hypertension and smoking history (adjusted-OR 2.05, 95% CI 1.01-4.19, P < 0.05). In this regression model, other variables that were independently associated with higher risk of severe COVID-19 illness were older age (adjusted-OR 1.05, 95% CI 1.02-1.08), male sex (adjusted-OR 2.01, 95% CI 1.05-4.0) and obesity (adjusted-OR 2.51, 95% CI 1.3-4.7).

Interestingly, during the revision process of this manuscript, a retrospective multicentre study has been published from a cohort of nearly 7300 confirmed cases of COVID-19 enrolled among 19 hospitals in Wuhan, Hubei Province (China) [5] . This retrospective study confirmed that pre-existing diabetes (present in 952 of these patients) was significantly associated with adverse clinical outcomes, and that diabetic patients with better controlled blood glucose (defined as glycaemic variability between 3.9 to 10 mmol/ L) had a lower mortality rate than those with poorly controlled blood glucose (glycaemic variability > 10 mmol/L) during hospitalisation [5] .

To date, the mechanisms underpinning the association between diabetes and risk of severe COVID-19 illness are poorly understood. It is conceivable that diabetes-induced abnormalities, such as the underlying metabolic changes, low-grade systemic inflammation and impaired innate cell-mediated immunity, may predispose these patients to infectious events of greater severity [2] . Moreover, patients with diabetes mightalso have a higher angiotensin converting enzyme-2 (ACE2) expression, thereby facilitating viral uptake and increasing the risk of severe infection [6, 7] . However, further research is required to better understand the link between diabetes and the viral disease process.

Our study has some limitations that should be mentioned, including the relatively modest sample size, the Asian ancestry of the patient cohort, and the lack of any detailed information on glucose-lowering medications, and type of diabetes (though it is reasonable that the vast majority of our diabetic cases were likely to be type 2). Thus, our results need to be further replicated in other Asian and non-Asian cohorts of COVID-19 patients.

In conclusion, we found that in hospitalised middle-aged Chinese patients with laboratory-confirmed COVID-19, the presence of diabetes at hospital admission was strongly associated with an increased likelihood of having severe COVID-19 illness. We also observed a graded, positive relationship between random blood glucose levels at admission and severity of COVID-19 illness. Notably, the significant association between diabetes and risk of greater COVID-19 severity persisted even after adjustment for age, sex, smoking history and metabolic comorbidities. Our findings highlight the urgent need of a multidisciplinary team-based approach to the management of these patients.

MHZ is supported by grants from the National Natural Science Foundation of China (81500665). CDB is supported in part by the Southampton NIHR Biomedical Research Centre (IS-BRC-20004), UK. GT is supported in part by grants from the School of Medicine, University of Verona, Verona, Italy.

The authors declare that they have no competing interest. Cohort size, n = 339, except where indicated. Presence of diabetes was defined as prior history of diabetes (including current use of any glucose-lowering medication), a ''random'' plasma glucose level ! 11.1 mmol/L (! 200 mg/dL), and/or a haemoglobin A1c level ! 6.5% (! 48 mmol/mol). Data are expressed as means AE SD, medians and IQRs (in parenthesis) or percentages. Differences between the two groups were tested by the chi-squared test or the Fisher's exact test for categorical variables (as appropriate), the unpaired Student's t test for normally distributed continuous variables, or the Mann-Whitney U test for non-normally distributed continuous variables, respectively. ALP: alkaline phosphatase; ALT: alanine aminotransferase; AST: aspartate aminotransferase; BMI: body mass index; GGT: gamma-glutamyltransferase; HDL: high-density lipoprotein cholesterol; LDL: low-density lipoprotein cholesterol.

Research letter / Diabetes & Metabolism xxx (2020) xxx-xxx

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