Literature DB >> 32222956

Prevalence and impact of diabetes among people infected with SARS-CoV-2.

G P Fadini1, M L Morieri2, E Longato3, A Avogaro2.   

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Year:  2020        PMID: 32222956      PMCID: PMC7103097          DOI: 10.1007/s40618-020-01236-2

Source DB:  PubMed          Journal:  J Endocrinol Invest        ISSN: 0391-4097            Impact factor:   4.256


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To the Editor In December 2019, a new coronavirus causing severe acute respiratory syndrome (SARS-CoV-2) emerged in Wuhan, China. The virus spread rapidly to more than 150 countries and, by the time we are writing (March 19th 2020), it affected > 230,000 individuals causing almost 10,000 deaths [1]. It has been suggested that diabetes mellitus is one of the most common comorbidities in infected people, but its exact prevalence is unclear. We show results of a meta-analysis of studies reporting the prevalence of diabetes among people infected with the SARS-CoV-2 and its impact on disease severity or progression. We retrieved 12 studies reporting data from 2108 Chinese patients with confirmed SARS-Cov-2 infection (Data supplement). Mean age was 49.6 years and the prevalence of diabetes was 10.3% (Fig. 1a). For comparison, the nationwide prevalence of diabetes in China in 2013 was 10.9% overall and 12.3% among people aged 40–59 [2].
Fig. 1

a Forest plot of diabetes prevalence among SARS-CoV-2 infected patients. b Forest plot of diabetes rate ratio (RR) among patients with more severe versus those with less severe infection

a Forest plot of diabetes prevalence among SARS-CoV-2 infected patients. b Forest plot of diabetes rate ratio (RR) among patients with more severe versus those with less severe infection As of March 19th 2020, Italy was the second country most affected with SARS-Cov-2 (n = 41,035 individuals with confirmed SARS-CoV-2). At the University Hospital of Padova, located at the centre of an outbreak, among 146 hospitalized patients with confirmed SARS-CoV-2 infection and a mean age of 65.3 years, 13 had pre-existing diabetes, yielding a prevalence of 8.9% (95% CI 5.3–14.6). For comparison, the prevalence of diabetes in the same Region in 2018 was 6.2% overall and 11.0% among people aged 55–75 years (mean 65) [3]. A relatively low prevalence of diabetes among SARS-CoV-2 infected people could be due to under-reporting, chance, or a biological phenomenon. Dipeptidyl peptidase-4 (DPP-4) was discovered as a receptor for middle-east respiratory syndrome coronavirus while SARS-CoV-2 appears to use preferentially angiotensin-converting enzyme 2 to enter the cell [4]. However, since DPP-4 inhibitors are popular glucose-lowering medications worldwide, it will be of interest to explore whether they might protect against SARS-CoV-2 infection. Six of the meta-analysed studies on Chinese patients reported the prevalence of diabetes according to disease severity or outcome (n = 1687 patients). The pooled rate ratio of diabetes among patients with adverse disease course as compared to those with the more favourable course was 2.26 (95% CI 1.47–3.49) (Fig. 1b and Supplemental Table 1). As of March 17th, the median age of 2003 Italian patients who died while being infected with SARS-CoV-2 was 80.5 (IQR 31–103) and 70% were men. Among 355 deceased patients with available information on comorbidities, diabetes prevalence was 35.5% [5]. In 2018, diabetes prevalence among Italian citizens with the same age range and sex distribution was 20.3% [6]. Thus, the rate ratio of diabetes among patients who died with SARS-CoV-2 infection compared to the general population was 1.75. Based on these data, we conclude that diabetes may not increase the risk of SARS-CoV-2 infection but can worsen the outcome of this new coronavirus disease. This finding is consistent with the association between diabetes and excess mortality from any acute and chronic condition, including infections [7]. The situation is rapidly evolving, and close monitoring of these data are important for a correct communication to patients and healthcare providers. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 31 kb)
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2.  Prevalence and Ethnic Pattern of Diabetes and Prediabetes in China in 2013.

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6.  Outcomes and Healthcare Provider Perceptions of Real-Time Continuous Glucose Monitoring (rtCGM) in Patients With Diabetes and COVID-19 Admitted to the ICU.

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