Diabetes and COVID-19—Higher Risks and Many Questions

Clinical Characteristics and Outcomes of Patients With Diabetes and COVID-19 in Association With Glucose-Lowering Medication

  1. Yuchen Chen1,
  2. Dong Yang1,
  3. Biao Cheng2,
  4. Jian Chen2,
  5. Anlin Peng3,
  6. Chen Yang1,
  7. Chong Liu4,
  8. Mingrui Xiong1,
  9. Aiping Deng2,
  10. Yu Zhang1,
  11. Ling Zheng4⇑ and
  12. Kun Huang1⇑
  1. 1Tongji School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  2. 2Department of Pharmacy and the Center of Information, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  3. 3Department of Pharmacy, The Third Hospital of Wuhan, Wuhan, China
  4. 4Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
  1. Corresponding authors: Kun Huang, kunhuang{at}hust.edu.cn, and Ling Zheng, lzheng{at}whu.edu.cn

  1. Y.C., D.Y., and B.C. contributed equally.

Diabetes Care 2020 Jul; 43(7): 1399-1407. https://doi.org/10.2337/dc20-0660

Abstract

OBJECTIVE Diabetes is one of the most distinct comorbidities of COVID-19. Here, we describe the clinical characteristics of and outcomes in patients with diabetes in whom COVID-19 was confirmed or clinically diagnosed (with typical features on lung imaging and symptoms) and their association with glucose-lowering or blood pressure–lowering medications.

RESEARCH DESIGN AND METHODS In this retrospective study involving 904 patients with COVID-19 (136 with diabetes, mostly type 2 diabetes), clinical and laboratory characteristics were collected and compared between the group with diabetes and the group without diabetes, and between groups taking different medications. Logistic regression was used to explore risk factors associated with mortality or poor prognosis.

RESULTS The proportion of comorbid diabetes is similar between cases of confirmed and of clinically diagnosed COVID-19. Risk factors for higher mortality of patients with diabetes and COVID-19 were older age (adjusted odds ratio [aOR] 1.09 [95% CI 1.04, 1.15] per year increase; P = 0.001) and elevated C-reactive protein (aOR 1.12 [95% CI 1.00, 1.24]; P = 0.043). Insulin usage (aOR 3.58 [95% CI 1.37, 9.35]; P = 0.009) was associated with poor prognosis. Clinical outcomes of those who use an ACE inhibitor (ACEI) or angiotensin II type-I receptor blocker (ARB) were comparable with those of patients who do not use ACEI/ARB among COVID-19 patients with diabetes and hypertension.

CONCLUSIONS C-reactive protein may help to identify patients with diabetes who are at greater risk of dying during hospitalization. Older patients with diabetes were prone to death related to COVID-19. Attention needs to be paid to patients with diabetes and COVID-19 who use insulin. ACEI/ARB use showed no significant impact on patients with diabetes and hypertension who have COVID-19.

Introduction

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, previously known as 2019-nCoV) (1–3). The outbreak of COVID-19 rapidly caused a global health crisis (4–7), and the World Health Organization has announced COVID-19 as a pandemic.

Diabetes is one of the most frequent comorbidities reported in patients with COVID-19. Among patients with confirmed COVID-19, the proportion with comorbid diabetes was 22% in one study of 191 patients (2), and 16.2% in another cohort of 1,099 patients (3). Notably, a report of 72,314 COVID-19 cases found higher mortality in patients with diabetes (7.3% vs. 2.3% overall) (6). Further investigations into COVID-19 cases are necessary in order to elaborate the differences between those with comorbid diabetes and those without, and consequently to help identify risk factors for COVID-19. Moreover, little is known about the impact of sex and glucose-lowering medication on the characteristics and prognosis of patients with diabetes and COVID-19. Relevant analyses, including of important laboratory parameters and glucose-lowering medications, can provide information on risk factors, which may shed light on a tailored therapeutic strategy for patients with diabetes and COVID-19.

Notably, the diagnostic criteria of COVID-19 have undergone a series of adjustments according to updated understanding about the disease. Generally, COVID-19 is confirmed by positive SARS-CoV-2 nucleic acid test results (6). However, because of the difficulty in obtaining reliable nasopharyngeal swab specimens, the timing of detection, and the limited detection capacity early in the outbreak, false-negative results are often seen (8,9). For some SARS-CoV-2-infected patients who rarely show prominent upper respiratory tract signs and symptoms (1), the virus concentration of SARS-CoV-2 may be too low for accurate detection with a nasopharyngeal swab. Therefore, in addition to nucleic acid testing, lung computed tomography (CT) features have also been included as a clinical diagnostic criteria for patients within Hubei Province per the Diagnosis and Treatment Plan for COVID-19 issued by the National Health Commission (NHC) of China (fifth edition, 5 February 2020) (10); this was revised in the sixth edition (19 February 2020) (11). Accordingly, patients (in Hubei Province) were clinically diagnosed with COVID-19 on the basis of symptoms, exposure, and presence of lung imaging features consistent with coronavirus pneumonia, and those who were further tested as being positive for SARS-CoV-2 were classified as having confirmed COVID-19. Patients with COVID-19 in both categories are required to undergo strict quarantine and clinical observation and treatment in Fangcang shelter hospitals or designated hospitals (12).

Here, we evaluate the clinical characteristics of patients with COVID-19 with or without comorbid diabetes, and provide specific information about those cases regarding routine usage of glucose-lowering or blood pressure–lowering medicines, the medications most commonly used by patients with diabetes.

Research Design and Methods

Study Design and Participants

This retrospective study included 904 patients aged 15–99 years who were admitted to the Central Hospital of Wuhan from 1 January 2020 and enrolled with a definite outcome (discharged from or died in the hospital); the data cutoff for the study was 17 March 2020. The patients included in this study have not, to our knowledge, been reported previously. The Central Hospital of Wuhan, located in an urban area of Wuhan, is a class A tertiary comprehensive hospital and one of the hospitals designated to treat patients with COVID-19 who are in moderate, severe, or critical condition. Patients with mild disease, who accounted for the majority of total COVID-19 cases and were cared for in Fangcang shelter hospitals (12,13), were not included in our study; thus this cohort study represents the severe end of COVID-19. Most patients included in this study were local residents.

All patients were diagnosed with COVID-19 according to the Diagnosis and Treatment Plan for COVID-19 issued by the NHC of China (fifth edition) (10). Diabetes was ascertained through a diabetes diagnosis in medical records or a self-reported diagnosis confirmed by medical records reviewed by endocrinologists. Diabetes was defined according to the World Health Organization diagnostic criteria: fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or 2-h plasma glucose ≥11.1 mmol/L (≥200 mg/dL). Of the 136 patients with diabetes, 120 had type 2 diabetes, 1 had type 1 diabetes, 1 had gestational diabetes and was still pregnant at the time of admission, and 14 did not have diabetes specified in their medical records.

The Research Ethics Commission of the Central Hospital of Wuhan approved this study and waived informed consent from study participants because of the study’s retrospective design (approval #2020–40). All clinical investigations were conducted in accordance with the guidelines of the Declaration of Helsinki.

Data Collection

Epidemiological, demographic, clinical, laboratory, treatment-related, and outcome-related data were reviewed and extracted from electronic medical records by experienced clinicians using a standardized data collection form. For the analysis of glucose-lowering medications, we excluded 16 patients with diabetes whose history of glucose-lowering medicine use was unavailable. In the analysis of blood pressure–lowering medication, we included 71 patients with diabetes who also had COVID-19 and comorbid hypertension and who had available a history of blood pressure–lowering drug use.

Procedures

Briefly, clinical diagnosis of COVID-19 was made on the basis of symptoms, exposure, and the presence of lung imaging features consistent with coronavirus pneumonia. SARS-CoV-2 infection was detected in respiratory specimens by using next-generation sequencing or real-time fluorescent RT-PCR, as previously described (1). Patients underwent routine laboratory examinations such as blood examinations, coagulation tests, biochemical tests (including liver and renal function, creatine kinase, lactate dehydrogenase, and electrolytes). Chest imaging was acquired by CT. The clinical outcomes were evaluated by experienced clinicians.

Definitions

Fever was defined as an axillary temperature of at least 37.3°C. The COVID-19 severity grading (mild, moderate, severe, or critical) was defined according to the Diagnosis and Treatment Plan for COVID-19 issued by the NHC of China. Briefly, mild grade was defined as mild symptoms and no changes on lung CT scans; moderate grade was defined as fever, respiratory symptoms, and changes on lung CT scans; severe grade was defined as respiratory rate ≥30 breaths per min, blood oxygen saturation ≤93%, oxygenation index ≤300 mmHg, and/or lung infiltrates increased >50% within 24–48 h; and critical grade was defined as respiratory failure, septic shock, and/or multiple organ dysfunction or failure. Poor prognosis includes progression to severe or critical illness and in-hospital death.

Statistical Analysis

Categorical variables are the number (percentage), and continuous variables are the median (interquartile range [IQR]). Categorical data were compared by using the χ2 test or the Fisher exact test, as appropriate. Nonnormal continuous data were compared with the Mann-Whitney U test. Sample size varied because items included in patient examinations may have differed, as they were determined by different treating physicians and dependent on patients’ symptoms and comorbidities (Supplementary Table 1). Logistic regression was used in order to perform univariable and multivariable analysis for determination of odds ratios (ORs) and 95% CIs for factors associated with clinical outcomes; the results were not adjusted for multiple tests. Laboratory findings tested in no more than half of the total cases were not included in regression models in order to avoid possible bias. Analyses of different factors were based on nonmissing data. We chose age, albumin, creatinine, C-reactive protein (CRP), and glucose as five variables in multivariable regression models to identify risk factors for in-hospital death or poor prognosis in all patients with COVID-19—those with and those without diabetes. In order to explore the association of medication and outcomes for patients with COVID-19 with diabetes who use glucose-lowering medication, age, albumin, creatinine, glucose, CRP, and usage of a specific medication (yes/no) were chosen as six variables in the corresponding multivariable regression model. A P value <0.05 was considered statistically significant. Analyses were performed with SPSS software (version 22.0; IBM) unless otherwise indicated.

Results

Demographics and Characteristics of the Study Population

Of the 904 cases included in this study (Table 1), 421 patients (46.57%) were male and 483 (53.43%) were female. The median age was 56.0 years (IQR 39.0–67.0 years), with only three patients under 20 years old. All the patients were clinically diagnosed with COVID-19, and 341 (37.72%) had confirmed COVID-19. The most common symptoms were fever (576 patients [63.72%]), cough (443 patients [49.00%]), and fatigue (212 patients [23.45%]). Hypertension (273 patients [30.20%]) was the most common comorbidity, followed by diabetes (136 patients [15.04%]), cardiovascular disease (91 patients [10.07%]), and nervous system disease (52 patients [5.75%]). At hospital admission, the COVID-19 severity grading was moderate in 89.93% of the cases, severe in 9.07%, and critical in 1.00%. Among the patients, 92 (10.18%) died during hospitalization, and 381 progressed to severe (291 patients [32.19%]) or critical (90 patients [9.96%]) illness.

View this table:
Table 1

Demographic characteristics of patients with diagnosed COVID-19

No significant difference in initial symptoms was seen between the groups with confirmed and clinically diagnosed COVID-19 (Table 1). Compared with confirmed cases, patients with clinically diagnosed COVID-19 were younger (median age 53.0 years [IQR 37.0–66.0 years] vs. 58.0 years [42.0–62.0 years]; P = 0.020), had a higher proportion of moderate cases at admission (91.65% vs. 87.10% patients; P = 0.030), and had a lower rate of progression to critical illness (7.99% vs. 13.20% patients; P = 0.012) and death (6.75% vs. 15.84% patients; P < 0.001) (Table 1). The frequency of hypertension, cardiovascular disease, nervous system disease, chronic kidney disease, and chronic lung disease was higher among confirmed cases than clinically diagnosed cases, whereas the proportion of diabetes was similar between the two groups (14.37% vs. 15.45% patients; P = 0.702) (Table 1).

Baseline Characteristics and Laboratory Indices

Baseline characteristics and laboratory indices of all the patients are provided in Table 2. For patients without diabetes, the overall laboratory findings in those with confirmed COVID-19 were more malignant than in those with clinically diagnosed COVID-19; these findings were consistent with a significantly longer hospital stay, a larger proportion with a poor prognosis, and higher mortality (Table 2). For patients with diabetes, the overall laboratory findings in those with confirmed COVID-19 were similar to such findings in patients with clinically diagnosed COVID-19, except for a longer hospital stay (median 26.0 days [IQR 19.0–38.0 days] vs. 20.0 days [15.0–28.0 days]; P = 0.004) (Table 2). Among those with confirmed COVID-19, patients with diabetes were older (median age 66.0 years [IQR 60.5–73.5 years]), had a larger proportion with comorbid hypertension (61.22%), and had a longer hospital stay (median 26.0 days [IQR 19.0–38.0 days]). Some of their laboratory indices were more malignant, including significantly higher d-dimer (median 0.72 mg/L [IQR 0.48–2.18 mg/L] vs. 0.50 mg/L [0.23–1.15 mg/L]; P = 0.001) and urea (4.78 mmol/L [3.71–7.95 mmol/L] vs. 4.10 mmol/L [3.20–5.60 mmol/L]; P = 0.003), as well as lower albumin (36.2 g/L [34.05–39.45 g/L] vs. 39.8 g/L [35.6–43.4 g/L]; P < 0.001). Such differences between patients with and those without diabetes were consistently observed in clinically diagnosed cases (Table 2) and were independent of sex (Supplementary Table 2). Some differences between patients with and those without diabetes were significant only for those who had clinically diagnosed COVID-19; these differences included elevated levels of creatinine, creatine kinase, and lactate dehydrogenase (LDH); higher infection-related indices; and higher rates of in-hospital death and poor prognosis (Table 2).

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Table 2

Clinical characteristics, outcomes, and laboratory findings

Sex-Dependent Characteristics

Data that were respectively analyzed in male and female patients are summarized in Supplementary Table 2. In confirmed COVID-19 cases, the neutrophil count (median 4.39 × 109/L [IQR 3.03–6.74 × 109/L]) and LDH (195.00 units/L [178.00–255.00 units/L]), as well as the percentage with comorbid nervous system disease (17.86% [five patients]), were significantly higher among women with diabetes than in women without diabetes, which was consistent with data from women with clinically diagnosed COVID-19 (Supplementary Table 2). In addition, among men with clinically diagnosed COVID-19, comorbid cardiovascular disease was seen in a larger proportion of men with diabetes (27.91%) than in those without diabetes (8.21%) (P = 0.001) (Supplementary Table 2).

Risk Factors Associated With Mortality or Poor Prognosis

We performed logistic regression for univariable or multivariable analyses to identify risk factors associated with mortality or poor prognosis in this cohort (Table 3 and Supplementary Table 3). Univariable logistic regression analyses showed that increasing odds of in-hospital death or poor prognosis in all patients with COVID-19 were associated with diabetes (in-hospital death: OR 2.51 [95% CI 1.53, 4.13]; poor prognosis: OR 2.21 [95% CI 1.50, 3.26]; both P < 0.001) (Table 3).

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Table 3

Univariable and multivariable logistic regression for risk factors associated with in-hospital death and poor prognosis in all patients with COVID-19 and in patients with diabetes and COVID-19

Considering the inclusion of glucose (highly correlated with diabetes) in multivariable regression models, diabetes was not included as a variable in the analyses. Multivariable regression showed that increasing odds of in-hospital death among patients with diabetes and COVID-19 were associated with older age (adjusted OR [aOR] 1.09 [95% CI 1.04, 1.15] per year increase; P = 0.001) and elevated CRP (aOR 1.12 [95% CI 1.00, 1.24]; P = 0.043) (Table 3). In addition to old age and high CRP, low albumin was an independent risk factor for mortality in patients with COVID-19 who did not have diabetes (Supplementary Table 3). Risk factors for poor prognosis in patients with diabetes and COVID-19 were low albumin (aOR 0.91 [95% CI 0.83, 0.99]; P = 0.030) and high CRP (aOR 1.16 [95% CI 1.01, 1.32]; P = 0.033) (Table 3). Old age and high CRP were independent risk factors for worse prognosis in patients with COVID-19 who did not have diabetes (Supplementary Table 3). Elevated glucose was associated with higher mortality in all patients (aOR 1.08 [95% CI 1.01, 1.16]; P = 0.033) (Table 3) and in patients without diabetes (aOR 1.19 [95% CI 1.01, 1.41]; P = 0.040) (Supplementary Table 3). However, it was not associated with in-hospital death or poor prognosis in patients with diabetes and COVID-19 (Table 3). Age and CRP were independent risk factors related to either in-hospital death or poor prognosis in all patients (Table 3).

Characteristics of Glucose-Lowering Medicine Users

Of the 120 patients with COVID-19 and diabetes with available glucose-lowering medication history, insulin users presented some laboratory indices that were significantly different from the indices of those who did not use insulin, including lower albumin, higher infection-related indices (CRP, procalcitonin, and erythrocyte sedimentation rate), and higher blood glucose and HbA1c on admission (Table 4). When comparing insulin users with non–insulin users among those with confirmed COVID-19, increases in CRP and procalcitonin remained statistically significant (Supplementary Table 4). However, the insulin and no-insulin groups showed no significant difference in the percentages of those with severe and critical illness on admission (16.90% [12 patients] in the insulin group vs. 10.20% [5 patients] in the no-insulin group; P = 0.426). Metformin users showed overall higher albumin and lower urea and interleukin-6 (IL-6) on admission than non–metformin users (Table 4). In addition, less malignant initial clinical indices, including a significantly lower white blood cell count, fewer neutrophils, and lower creatine kinase, CRP, and IL-6, were seen in those who use secretagogues than in those who do not (Supplementary Table 5). For users of α-glycosidase or DPP-4 inhibitors, their laboratory findings and clinical outcomes were similar to those of respective nonusers (Supplementary Table 5).

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Table 4

Clinical characteristics, outcomes, and laboratory findings according to medication (metformin and insulin) use

Multivariable regression was performed in order to explore the association of specific glucose-lowering medications with in-hospital death and poor prognosis. Each type of medication was analyzed within a corresponding multivariable regression model (Supplementary Table 6). Compared with non–insulin users, insulin users had a greater risk of poor prognosis (aOR 3.58 [95% CI 1.37, 9.35]; P = 0.009). However, multivariable regression analyses indicated that none of the glucose-lowering medications (metformin, insulin, α-glycosidase, secretagogues, or DPP-4 inhibitors) were associated with in-hospital death (Supplementary Table 6).

Comorbid Hypertension in Blood Pressure–Lowering Drug Users

Of the patients with diabetes and COVID-19, 71 had comorbid hypertension and available blood pressure–lowering medication history (Supplementary Table 7). Among them, 32 used an ACE inhibitor (ACEI) or angiotensin II type-I receptor blocker (ARB), which were reported to increase the expression of ACE2 (14), a crucial target of SARS-CoV-2 (15). No significant difference was present between the clinical outcomes within the ACEI/ARB group and those within the no-ACEI/ARB group (Supplementary Table 7).

Conclusions

Facing COVID-19, individuals with diabetes are at risk for greater susceptibility to infection with worse outcomes (2,6,16). However, little is known about the clinical characteristics of patients with COVID-19 and comorbid diabetes, and little prevention and treatment guidance exists for patients with diabetes who are infected with SARS-CoV-2. This study aims to describe the clinical characteristics and outcomes in patients with diabetes and COVID-19, sex effects, and use of glucose-lowering or blood pressure–lowering medication.

Characteristics of Patients With Diabetes Who Have COVID-19

Overall higher mortality and poorer prognosis were seen in patients with confirmed COVID-19 than in clinically diagnosed cases (Table 1). For patients without diabetes, those with confirmed COVID-19 showed more malignant initial laboratory indices than those with clinically diagnosed COVID-19. However, there was no significant difference in the initial laboratory findings in patients with diabetes who had confirmed COVID-19 and those who had clinically diagnosed COVID-19 (Table 2). In our study population, the proportions of confirmed COVID-19 cases were similar between people with and people without diabetes. We therefore deduce that the basic conditions of patients with COVID-19 with comorbid diabetes were similar among the confirmed and clinically diagnosed cases, and were worse overall than in those without diabetes.

As is well known, patients with diabetes are highly susceptible to infection (16,17). Indeed, diabetes is an important risk factor for morbidity and mortality in patients infected with other coronaviruses such as SARS-CoV (18,19) and Middle East respiratory syndrome–related coronavirus (20,21). Our findings indicated that more fatalities occurred among patients with diabetes and COVID-19 than in those with COVID-19 but without diabetes, which was consistent with the results of another study (6).

Hypertension, the leading comorbidity of COVID-19 (Table 1), was more prevalent in patients with COVID-19 and diabetes than in those with the infection but without diabetes (Table 2). Analysis of laboratory indices of patients with COVID-19 indicated that, compared to patients without diabetes, patients with diabetes presented more severe inflammatory responses, acute kidney injury, and secondary infection (Table 2). Together, these findings support that patients with diabetes are more vulnerable to COVID-19 infection.

Risk Factors for Patients With Diabetes and COVID-19

Our data suggest that older patients with diabetes are at greater risk for mortality (Table 3). In addition, although hypertension was the most common comorbidity in patients with diabetes and COVID-19 (Table 2), it had no association with their poor outcomes (Table 3). Death rates were higher among patients with COVID-19 who had diabetes than in those without diabetes (Table 2), and univariable regression analyses showed that diabetes increased the odds of in-hospital death and poor prognosis for all patients (Table 3). Because including two highly correlated variables such as glucose and diabetes in the same model can make it difficult to interpret their coefficients, glucose was included in the multivariable regression models. High blood glucose was also an independent risk factor for mortality in patients with COVID-19 in this cohort, as demonstrated by multivariable regression analyses (Table 3).

The only independent risk factor for either mortality or poor prognosis in patients with COVID-19 and diabetes was CRP (Table 3), a typical infection-related protein that not only indicates secondary infection but also links inflammation and chronic diseases including diabetes (22). Consistently, previous studies reported that the association between diabetes and lung dysfunction (23,24) may be partly explained by systemic inflammation (25,26). Therefore, concerns about secondary infection and inflammatory responses are necessary when clinically managing patients with diabetes who have COVID-19.

Impact of Various Glucose-Lowering and Blood Pressure–Lowering Medications

Insulin users showed worse clinical outcomes and some more malignant initial laboratory findings than those who did not use insulin (Table 4). In this cohort, multivariable regression analysis further indicated a greater risk of COVID19-related poor prognosis in patients with diabetes who use insulin and have COVID-19 (Supplementary Table 6). Considering a recent proposal that insulin is preferred for controlling hyperglycemia in hospitalized patients with diabetes who have COVID-19 (27), more evidence from clinical practice is warranted in order to identify the impact of different glucose-lowering medications on patients with diabetes who have COVID-19, and more attention should be paid to insulin users.

A recent hypothesis has proposed that the increased risk for SARS-CoV-2 infection among patients with diabetes or hypertension may be due to the substantially elevated expression of ACE2 in those treated with ACEI/ARB drugs (14,15,28). In this study, hypertension accounts for the largest proportion of comorbidities, and ACEI/ARB medications were mostly used against hypertension. However, comparisons of the clinical characteristics and outcomes of ACEI/ARB users with those of non–ACEI/ARB users among the patients with comorbid diabetes and hypertension showed no significant differences (Supplementary Table 7).

Study Limitations

Our study has limitations in classifying true SARS-CoV-2-negative cases. Although clinically diagnosed patients showed symptoms and biochemical indices similar to those of patients with confirmed COVID-19, we cannot rule out the possible existence of truly uninfected patients among the clinically diagnosed cases.

Conclusion

Among those with COVID-19, compared with patients without diabetes, patients with comorbid diabetes showed aggravated kidney injury and severe inflammatory response. In those with confirmed COVID-19, the percentage of comorbid nervous system disease was significantly higher among women with diabetes than in women without diabetes. For patients with diabetes and COVID-19, increasing odds of in-hospital death were associated with older age and elevated CRP, whereas risk factors for poor prognosis were lower albumin and higher CRP. Insulin usage was associated with poor prognosis, suggesting that more attention is needed regarding patients with COVID-19 who have diabetes and use insulin. Although the results were based on a small sample size, neither comorbid hypertension nor ACEI/ARB medication use had a significant impact on clinical outcomes of patients with diabetes and COVID-19.

Article Information

Funding. This work was supported by the National Key R&D Program of China (grants 2019YFA0802701 and 2018YFA0800700), the National Natural Science Foundation of China (grants 91957114, 31971066, 31871381, and 31671195), and the Family Planning Commission of Wuhan (grant WX18M02).

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. All authors contributed to this study. L.Z. and K.H. conceived and designed the study. Y.C., D.Y., B.C., J.C., A.P., and A.D. acquired data. Y.C., D.Y., B.C., J.C., C.Y., C.L., M.X., and Y.Z. analyzed and interpreted data. Y.C., D.Y., B.C., L.Z., and K.H. wrote the article and revised it critically. K.H. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Footnotes

  • Received March 28, 2020.
  • Accepted April 24, 2020.
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References

  1. ↵
    1. Huang C,
    2. Wang Y,
    3. Li X, et al
    . Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020;395:497–506
    OpenUrlCrossRefPubMed
  2. ↵
    1. Zhou F,
    2. Yu T,
    3. Du R, et al
    . Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020;395:1054–1062
    OpenUrlCrossRefPubMed
  3. ↵
    1. Guan WJ,
    2. Ni ZY,
    3. Hu Y, et al.; China Medical Treatment Expert Group for Covid-19
    . Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020;382:1708–1720
    OpenUrlPubMed
  4. ↵
    1. Li Q,
    2. Guan X,
    3. Wu P, et al
    . Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med 2020;382:1199–1207
    OpenUrlCrossRefPubMed
    1. Adhikari SP,
    2. Meng S,
    3. Wu YJ, et al
    . Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review. Infect Dis Poverty 2020;9:29
    OpenUrlCrossRef
  6. ↵
    1. Wu Z,
    2. McGoogan JM
    . Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 24 February 2020 [Epub ahead of print].DOI: 10.1001/jama.2020.2648
  7. ↵
    1. Zhao D,
    2. Yao F,
    3. Wang L, et al
    . A comparative study on the clinical features of COVID-19 pneumonia to other pneumonias. Clin Infect Dis. 12 March 2020 [Epub ahead of print].DOI: 10.1093/cid/ciaa247
  8. ↵
    1. Li Z,
    2. Yi Y,
    3. Luo X, et al
    . Development and clinical application of a rapid IgM-IgG combined antibody test for SARS-CoV-2 infection diagnosis. J Med Virol. 27 February 2020 [Epub ahead of print].DOI: 10.1002/jmv.25727
  9. ↵
    1. Li Y,
    2. Yao L,
    3. Li J, et al
    . Stability issues of RT-PCR testing of SARS-CoV-2 for hospitalized patients clinically diagnosed with COVID-19. J Med Virol. 26 March 2020 [Epub ahead of print]. DOI: 10.1002/jmv.25786
  10. ↵
    1. National Health Commission of China
    . Diagnosis and treatment plan for COVID-19, 5th edition (in Chinese) [Internet], 2020. Available from http://www.nhc.gov.cn/xcs/zhengcwj/202002/3b09b894ac9b4204a79db5b8912d4440/files/7260301a393845fc87fcf6dd52965ecb.pdf. Accessed 27 March 2020
  11. ↵
    1. National Health Commission of China
    . Diagnosis and treatment plan for COVID-19, 6th edition (in Chinese) [Internet], 2020. Available from http://www.nhc.gov.cn/xcs/zhengcwj/202002/8334a8326dd94d329df351d7da8aefc2/files/b218cfeb1bc54639af227f922bf6b817.pdf. Accessed 27 March 2020
  12. ↵
    1. Chen S,
    2. Zhang Z,
    3. Yang J, et al
    . Fangcang shelter hospitals: a novel concept for responding to public health emergencies [published correction appears in Lancet 2020]. Lancet 2020;395:1305–1314
    OpenUrlCrossRefPubMed
  13. ↵
    1. Pan A,
    2. Liu L,
    3. Wang C, et al
    . Association of public health interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China. JAMA. 10 April 2020 [Epub ahead of print].DOI: 10.1001/jama.2020.6130
  14. ↵
    1. Li XC,
    2. Zhang J,
    3. Zhuo JL
    . The vasoprotective axes of the renin-angiotensin system: physiological relevance and therapeutic implications in cardiovascular, hypertensive and kidney diseases. Pharmacol Res 2017;125:21–38
    OpenUrlCrossRefPubMed
  15. ↵
    1. Wan Y,
    2. Shang J,
    3. Graham R,
    4. Baric RS,
    5. Li F
    . Receptor recognition by the novel coronavirus from Wuhan: an analysis based on decade-long structural studies of SARS coronavirus. J Virol 2020;94:e00127–e00128
    OpenUrlCrossRef
  16. ↵
    1. Pearson-Stuttard J,
    2. Blundell S,
    3. Harris T,
    4. Cook DG,
    5. Critchley J
    . Diabetes and infection: assessing the association with glycaemic control in population-based studies. Lancet Diabetes Endocrinol 2016;4:148–158
    OpenUrl
  17. ↵
    1. Harding JL,
    2. Pavkov ME,
    3. Magliano DJ,
    4. Shaw JE,
    5. Gregg EW
    . Global trends in diabetes complications: a review of current evidence. Diabetologia 2019;62:3–16
    OpenUrlPubMed
  18. ↵
    1. Chan-Yeung M,
    2. Xu RH
    . SARS: epidemiology. Respirology 2003;8(Suppl.):S9–S14
    OpenUrlCrossRefPubMedWeb of Science
  19. ↵
    1. Yang JK,
    2. Feng Y,
    3. Yuan MY, et al
    . Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabet Med 2006;23:623–628
    OpenUrlCrossRefPubMedWeb of Science
  20. ↵
    1. Garbati MA,
    2. Fagbo SF,
    3. Fang VJ, et al
    . A comparative study of clinical presentation and risk factors for adverse outcome in patients hospitalised with acute respiratory disease due to MERS coronavirus or other causes. PLoS One 2016;11:e0165978
    OpenUrlPubMed
  21. ↵
    1. Kulcsar KA,
    2. Coleman CM,
    3. Beck SE,
    4. Frieman MB
    . Comorbid diabetes results in immune dysregulation and enhanced disease severity following MERS-CoV infection. JCI Insight 2019;4:e131774
    OpenUrl
  22. ↵
    1. Gupta SC,
    2. Kunnumakkara AB,
    3. Aggarwal S,
    4. Aggarwal BB
    . Inflammation, a double-edge sword for cancer and other age-related diseases. Front Immunol 2018;9:2160
    OpenUrl
  23. ↵
    1. Teeter JG,
    2. Riese RJ
    . Cross-sectional and prospective study of lung function in adults with type 2 diabetes: the Atherosclerosis Risk in Communities (ARIC) study: response to Yeh et al. Diabetes Care 2008;31:e82
    OpenUrlFREE Full Text
  24. ↵
    1. Yeh HC,
    2. Punjabi NM,
    3. Wang NY, et al
    . Cross-sectional and prospective study of lung function in adults with type 2 diabetes: the Atherosclerosis Risk in Communities (ARIC) study. Diabetes Care 2008;31:741–746
    OpenUrlAbstract/FREE Full Text
  25. ↵
    1. Giovannelli J,
    2. Trouiller P,
    3. Hulo S, et al
    . Low-grade systemic inflammation: a partial mediator of the relationship between diabetes and lung function. Ann Epidemiol 2018;28:26–32
    OpenUrl
  26. ↵
    1. Chen H,
    2. Liu C,
    3. Cheng C,
    4. Zheng L,
    5. Huang K
    . Effects of apelin peptides on diabetic complications. Curr Protein Pept Sci 2018;19:179–189
    OpenUrl
  27. ↵
    1. Gupta R,
    2. Ghosh A,
    3. Singh AK,
    4. Misra A
    . Clinical considerations for patients with diabetes in times of COVID-19 epidemic. Diabetes Metab Syndr 2020;14:211–212
    OpenUrl
  28. ↵
    1. Fang L,
    2. Karakiulakis G,
    3. Roth M
    . Are patients with hypertension and diabetes mellitus at increased risk for COVID-19 infection? Lancet Respir Med 2020;8:e21
    OpenUrlPubMed
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Clinical Characteristics and Outcomes of Patients With Diabetes and COVID-19 in Association With Glucose-Lowering Medication
Yuchen Chen, Dong Yang, Biao Cheng, Jian Chen, Anlin Peng, Chen Yang, Chong Liu, Mingrui Xiong, Aiping Deng, Yu Zhang, Ling Zheng, Kun Huang
Diabetes Care Jul 2020, 43 (7) 1399-1407; DOI: 10.2337/dc20-0660
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