Skip to main content
BMJ - PMC COVID-19 Collection logoLink to BMJ - PMC COVID-19 Collection
. 2020 Apr 27;8(1):e001343. doi: 10.1136/bmjdrc-2020-001343

Clinical characteristics and outcomes of patients with severe covid-19 with diabetes

Yongli Yan 1, Yan Yang 1, Fen Wang 1, Huihui Ren 1, Shujun Zhang 1, Xiaoli Shi 1, Xuefeng Yu 1, Kun Dong 1,
PMCID: PMC7222577  PMID: 32345579

Abstract

Objective

This study explores the clinical characteristics of patients with diabetes with severe covid-19, and the association of diabetes with survival duration in patients with severe covid-19.

Research design and methods

In this single-center, retrospective, observational study, the clinical and laboratory characteristics of 193 patients with severe covid-19 were collected. 48 patients with severe covid-19 had diabetes, and 145 patients (ie, the controls) did not have diabetes. A severe case was defined as including at least one of the following criteria: (1) Respiratory rate >30/min. (2) Oxygen saturation ≤93%. (3) PaO2/FiO2≤300 mm Hg. (4) Patients, either with shock or respiratory failure, requiring mechanical ventilation, or combined with other organ failure, requiring admission to intensive care unit (ICU).

Results

Of 193 patients with severe covid-19, 48 (24.9%) had diabetes. Compared with patients with severe covid-19 without diabetes, patients with diabetes were older, susceptible to receiving mechanical ventilation and admission to ICU, and had higher mortality. In addition, patients with severe covid-19 with diabetes had higher levels of leukocyte count, neutrophil count, high-sensitivity C reaction protein, procalcitonin, ferritin, interleukin (IL) 2 receptor, IL-6, IL-8, tumor necrosis factor α, D-dimer, fibrinogen, lactic dehydrogenase and N-terminal pro-brain natriuretic peptide. Among patients with severe covid-19 with diabetes, more non-survivors were men (30 (76.9%) vs 9 (23.1%)). Non-survivors had severe inflammatory response, and cardiac, hepatic, renal and coagulation impairment. Finally, the Kaplan-Meier survival curve showed a trend towards poorer survival in patients with severe covid-19 with diabetes than patients without diabetes. The HR was 1.53 (95% CI 1.02 to 2.30; p=0.041) after adjustment for age, sex, hypertension, cardiovascular disease and cerebrovascular disease by Cox regression. The median survival durations from hospital admission in patients with severe covid-19 with and without diabetes were 10 days and 18 days, respectively.

Conclusion

The mortality rate in patients with severe covid-19 with diabetes is considerable. Diabetes may lead to an increase in the risk of death.

Keywords: adult diabetes


Significance of this study.

What is already known about this subject?

  • High morbidity has been observed in patients with severe covid-19 with diabetes.

  • Diabetes is considered a risk factor for complications in respiratory illness due to virus infection.

  • The clinical course and outcomes of patients with severe covid-19 with diabetes remains unclear.

What are the new findings?

  • Patients with severe covid-19 with diabetes exhibit severe inflammation response.

  • Patients with severe covid-19 with diabetes were older, more likely to receive mechanical ventilation and admission to intensive care unit, and had higher mortality.

  • The survival duration in patients with severe covid-19 with diabetes is obviously shorter than in those without diabetes.

How might these results change the focus of research or clinical practice?

  • More attention should be paid to patients with severe covid-19 with diabetes, since those patients have high mortality.

Introduction

The prevalence of covid-19 has dramatically spread worldwide,1–4 and a large number of patients is suffering from this fulminating infectious disease.5 6 By the end of February 19, 2020, 74 283 patients have been confirmed with covid-19 in the mainland of China, and the mortality rate is around 2.7%.7 Age and comorbidities are considered to be the main risk factors for increased risk of death in patients with covid-19.7 8

Recently, several studies have suggested that the prevalence of diabetes in patients with mild covid-19 may range from 5.7% to 5.9%,8 9 while the prevalence of type 2 diabetes mellitus in patients with severe covid-19 has seen a sharp rise from 22.2% to 26.9%.8 9 These epidemiological evidences indicate a critical role of diabetes in patients with severe covid-19. Diabetes and hyperglycemia are reported to exacerbate inflammation by increasing the release of tumor necrosis factor α (TNFα) and interleukin (IL) 10.10–12 In addition, diabetes may lead to lung dysfunction, such as decreased forced expiratory volume and forced vital capacity.13 Therefore, diabetes could possibly be a risk factor for covid-19. Our study aims to investigate the clinical characteristics of patients with severe covid-19 with diabetes mellitus, and the association of diabetes with the outcome in patients with severe covid-19.

Research design and methods

Study design and population

This is a single-center, retrospective, observational study. Tongji hospital is mainly responsible for the treatment of patients with severe covid-19 assigned by the government in Wuhan. All the participants were diagnosed with covid-19 according to WHO interim guidance. A total of 198 patients were treated at Tongji Hospital (Wuhan, China) from January 10, 2020 to February 24, 2020; 5 were excluded in accordance with the exclusion criteria. Patients were admitted under the following inclusion criteria: (1) Adults (over 18 years old). (2) Laboratory confirmation of covid-19 by real-time PCR. (3) Chest CT findings meeting the standard for diagnosis of covid-19. Patients were admitted under the following exclusion criteria: (1) Missing data on clinical characteristics. (2) Missing data on laboratory characteristics. (3) Secondary diabetes. (4) Type 1 diabetes. Finally, a total of 193 patients who had finished the completed medical records and follow-up were included. All the patients were community dwelling. All the procedures complied with the provisions of the Declaration of Helsinki. All participants provided oral informed consent.

Data collection

We reviewed the clinical records and laboratory data for all the patients. Two study investigators checked the data collected independently. We collected information on age, sex, chronic medical history (diabetes, hypertension, cardiovascular disease, cerebrovascular disease, chronic kidney disease, chronic pulmonary disease, chronic liver disease, treatment for diabetes and other comorbidities), clinical symptoms (fever, cough, dyspnea, pectoralgia, diarrhea, nausea, vomiting, anorexia, headache, fatigue) and living status. And we also collected laboratory data, such as blood routine, liver and renal function, random blood glucose, glycated hemoglobin, lipid, cardiac troponin I, high-sensitivity C reactive protein (hsCRP), ferritin, coagulation function, IL-2 receptor, IL-6, IL-8, IL-10 and TNFα.

Definitions

Diabetes was defined as self-reported medical history of diabetes, and the use of antidiabetic drugs; otherwise, newly diagnosed diabetes was based on fasting plasma glucose, random plasma glucose and classic signs of hyperglycemia during hospital stay. (Considering critical condition in patients with severe covid-19, oral glucose tolerance test was not used for diagnosis of diabetes since hyperglycemia may lead to worsening of patient’s illness.) Diagnostic codes were mainly used to identify covid-19 patients with diabetes on admission to hospital. Severity of the disease was staged according to the guidelines for diagnosis and treatment of covid-19 (trial seventh edition) published by the National Health Commission of China on March 4, 2020. Severe cases were defined as including one of the following criteria: (1) Respiratory rate >30/min. (2) Oxygen saturation ≤93%. 3. PaO2/FiO2 ≤300 mm Hg. (4) Patients developing either shock or respiratory failure requiring mechanical ventilation, or combined with other organ failure, requiring admission to intensive care unit (ICU). Moderate cases were defined as follows: (1) Patients with fever and respiratory symptoms. (2) Patients with obvious chest CT findings for covid-19 (such as ground-glass opacities). Mild cases were defined as follows: (1) Patients with mild clinical manifestation. (2) Patients without obvious chest CT findings for covid-19.

Statistical analysis

Data were analyzed using SPSS (V.22.0). A value of p<0.05 was considered statistically significant. Distribution of the continuous variables was carried out by the Kolmogorov-Smirnov test. Independent sample t-test was applied to analyze normally distributed data, and Mann-Whitney test was applied to analyze non-normally distributed data. The χ2 test was applied to examine categorical data. Kaplan-Meier survival curves were used to compare the 30-day survival rate for patients with severe covid-19 with and without diabetes by the log-rank test.

Results

Our study included 193 hospitalized patients with severe covid-19. The median age was 64 (IQR 49–73) years, and 114 (59.1%) were men. Among them, 76 (39.4%) patients reported a history of exposure to patients with confirmed or highly suspected covid-19 infection, and 92 (47.7%) patients were admitted to ICU. During hospitalization, 110 (57.0%) patients received non-invasive or invasive mechanical ventilation treatment and 108 (56.0%) critically ill patients died. The median length of hospital stay was 13 (IQR 7–16) days (table 1).

Table 1.

The characteristics of patients with severe covid-19 with or without diabetes

Total (n=193) Diabetes (n=48) Non-diabetes (n=145) P value*
Number (%) Number (%) Number (%)
Age, median (IQR), years 64 (49 to 73) 70 (62 to 77) 60 (43 to 71) <0.001
Sex
 Male 114 (59.1) 33 (68.8) 81 (55.9) 0.115
 Female 79 (40.9) 15 (31.3) 64 (44.1)
Symptoms
 Fever 173 (89.6) 43 (89.6) 130 (89.7) 0.989
 Cough 135 (69.9) 37 (77.1) 98 (67.6) 0.214
 Dyspnea 115 (59.6) 33 (68.8) 82 (56.6) 0.136
 Pectoralgia 10 (5.2) 1 (2.1) 9 (6.2) 0.458
 Diarrhea 51 (26.4) 10 (20.8) 41 (28.3) 0.311
 Nausea 14 (7.3) 2 (4.2) 12 (8.3) 0.528
 Vomiting 5 (2.6) 2 (4.2) 3 (2.1) 0.788
 Anorexia 68 (35.2) 21 (43.8) 47 (32.4) 0.154
 Headache 21 (10.9) 5 (10.4) 16 (11.0) 0.905
 Fatigue 101 (52.3) 28 (58.3) 73 (50.3) 0.337
Comorbidities 94 (48.7) 29 (60.4) 65 (44.8) 0.061
 Hypertension 73 (37.8) 24 (50.0) 49 (33.8) 0.045
 Cardiovascular disease 31 (16.1) 13 (27.1) 18 (12.4) 0.016
 Cerebrovascular disease 8 (4.1) 5 (10.4) 3 (2.1) 0.036
 Chronic kidney disease 4 (2.1) 0 (0.0) 4 (2.8) 0.574
 Chronic pulmonary disease 14 (7.3) 4 (8.3) 10 (6.9) 0.739
 Chronic liver disease 1 (0.5) 0 (0.0) 1 (0.7) 1.000
Exposure to disease 76 (39.4) 17 (35.4) 59 (40.7) 0.517
ICU patients 92 (47.7) 32 (66.7) 60 (41.4) 0.002
Mechanical ventilation treatment† 110 (57.0) 39 (81.3) 71 (49.0) <0.001
Length of hospital stay, median (IQR), days 13 (7 to 16) 10 (6 to 13) 13 (9 to 18) 0.001
Mortality 108 (56.0) 39 (81.3) 69 (47.6) <0.001

*P values indicate differences between diabetes and non-diabetes. A value of p<0.05 was considered statistically significant.

†Non-invasive mechanical ventilation and invasive mechanical ventilation were included. Non-invasive mechanical ventilation included bilevel positive airway pressure ventilation or high-flow nasal cannula oxygen therapy.

ICU, intensive care unit.

The most common symptoms were fever (89.6%), cough (69.9%), dyspnea (59.6%) and fatigue (52.3%) at the onset of illness. Some patients also presented with anorexia (35.2%) and diarrhea (26.4%). Other symptoms included headache, pectoralgia, nausea and vomiting. Ninety-four (48.7%) patients had comorbidities, including hypertension (37.8%), cardiovascular disease (16.1%), cerebrovascular disease (4.1%), chronic pulmonary disease (7.3%), chronic kidney disease (2.1%) and chronic liver disease (0.5%) (table 1).

Of all patients, 48 (24.9%) had diabetes and 145 (75.1%) had no diabetes. Compared with patients without diabetes, patients with diabetes were older (median age, 70 (IQR 62–77) years vs 60 (IQR 43–71) years) and were more likely to have hypertension (24 (50.0%) patients vs 49 (33.8%) patients), cardiovascular disease (13 (27.1%) patients vs 18 (12.4%) patients) and cerebrovascular disease (5 (10.4%) patients vs 3 (2.1%) patients). Neither the symptoms nor other comorbidities were significantly different between patients with diabetes and those without. Compared with patients without diabetes, more patients with diabetes were admitted to ICU (32 (66.7%) patients vs 60 (41.4%) patients) and received mechanical ventilation treatment (39 (81.3%) patients vs 71 (49.0%) patients). Patients with diabetes also had a shorter duration of hospital stay (10 (IQR 6–13) days vs 13 (IQR 9–18) days) and higher mortality (81.3% vs 47.6%) than patients without diabetes (table 1).

As shown in table 2, numerous biochemical values were significantly different between patients with diabetes and those without. Obviously patients with diabetes had higher levels of random blood glucose (11.31 mmol/L vs 6.56 mmol/L) and glycated hemoglobin (7.2% vs 5.8%). On admission, patients with diabetes had higher levels of leukocyte count (7.99×109/L vs 5.55×109/L), neutrophil count (7.25×109/L vs 3.94×109/L), hsCRP (75.5 mg/L vs 43.3 mg/L), procalcitonin (0.16 ng/mL vs 0.09 ng/mL), ferritin (1373.0 µg/L vs 630.5 µg/L), IL-2 receptor (1098 U/mL vs 649 U/mL), IL-6 (47.08 pg/mL vs 21.31 pg/mL), IL-8 (26.0 pg/mL vs 16.4 pg/mL), TNFα (11.3 pg/mL vs 8.3 pg/mL), D-dimer (2.6 µg/mL fibrinogen equivalent units (FEU) vs 1.2 µg/mL FEU), lactic dehydrogenase (465 U/L vs 330 U/L) and N-terminal pro-brain natriuretic peptide (NT-proBNP) (665 pg/mL vs 259 pg/mL). And most of these values in both groups were above the normal range, which indicated patients with diabetes had more severe inflammatory response and myocardial damage. The level of cardiac troponin I had no statistically significant difference between the two groups, but showed a higher trend in patients with diabetes. The levels of lymphocyte count (0.54 ×109/L vs 0.81 ×109/L) and albumin (32.2 g/L vs 34.9 g/L) were below the normal range in both groups and patients with diabetes had lower values than patients without diabetes. In addition, most patients had normal liver and kidney function, although patients with diabetes had higher levels of total bilirubin (11.3 µmol/L vs 8.7 µmol/L), triglyceride (1.79 µmol/L vs 1.34 mmol/L) and urea nitrogen (8.0 µmol/L vs 5.3 mmol/L) compared with patients without diabetes.

Table 2.

The biochemical values in patients with severe covid-19 with or without diabetes on admission to hospital

Normal range Diabetes (n=48) Non-diabetes (n=145) P value*
Median (IQR) Median (IQR)
Random blood glucose, mmol/L 11.31 (7.96 to 16.79) 6.56 (5.59 to 8.08) <0.001
Glycated hemoglobin, % 4.0–6.0 7.2 (6.7 to 8.3) 5.8 (5.5 to 6.1) <0.001
Leukocyte count, ×109/L 3.50–9.50 7.99 (5.90 to 13.04) 5.55 (4.20 to 8.43) 0.001
Neutrophil count, ×109/L 1.80–6.30 7.25 (4.33 to 11.81) 3.94 (2.54 to 7.71) <0.001
Lymphocyte count, ×109/L 1.10–3.20 0.54 (0.42 to 0.93) 0.81 (0.56 to 1.24) 0.001
Hemoglobin, g/L 115.0–150.0 128.5 (115.0 to 140.0) 130.0 (118.0 to 142.0) 0.775
Platelet count, ×109/L 125.0–350.0 161.0 (126.5 to 232.5) 173.0 (130.0 to 230.0) 0.503
Prothrombin time, s 11.5–14.5 14.4 (13.6 to 17.0) 14.3 (13.2 to 15.5) 0.094
Thrombin time, s 14.0–19.0 17.1 (15.8 to 19.8) 16.4 (15.6 to 17.7) 0.014
APTT, s 29.0–42.0 38.4 (35.7 to 45.5) 40.2 (36.8 to 44.1) 0.483
Fibrinogen, g/L 2.00–4.00 4.85 (3.32 to 6.70) 4.31 (3.34 to 5.35) 0.085
D-dimer, µg/mL FEU <0.5 2.6 (1.0 to 21.0) 1.2 (0.4 to 10.7) 0.012
Alanine aminotransferase, U/L ≤33.0 22.5 (16.3 to 40.0) 22.0 (15.0 to 38.3) 0.454
Aspartate aminotransferase, U/L ≤32.0 34.0 (21.3 to 58.3) 31.0 (22.0 to 47.0) 0.472
Albumin, mean±SD, g/L 35.0–52.0 32.2±5.2 34.9±6.4 0.009
Total bilirubin, µmol/L ≤21.0 11.3 (7.5 to 20.6) 8.7 (6.5 to 13.4) 0.008
Creatine kinase, U/L ≤170.0 132.0 (70.0 to 290.0) 106.5 (63.8 to 233.3) 0.329
Lactic dehydrogenase, U/L 135–214 465 (306 to 645) 330 (231 to 535) 0.011
Cholesterol, mmol/L <5.18 3.41 (2.96 to 4.26) 3.45 (2.98 to 4.06) 0.701
Triglyceride, mmol/L <1.70 1.79 (1.24 to 2.36) 1.34 (0.89 to 1.79) 0.003
Urea nitrogen, mmol/L 3.1–8.8 8.0 (5.1 to 11.0) 5.3 (3.6 to 9.0) 0.003
Creatinine, µmol/L 45.0–84.0 83.5 (65.8 to 102.3) 78.0 (58.0 to 100.0) 0.264
Uric acid, µmol/L 202.3–416.5 273.2 (183.3 to 356.8) 276.0 (205.0 to 352.9) 0.927
hsCRP, mg/L <1.0 75.5 (49.9 to 150.5) 43.3 (11.0 to 116.5) 0.004
ESR, mm/H 0.0–20.0 38.0 (15.0 to 65.8) 27.0 (14.5 to 43.5) 0.140
Procalcitonin, ng/mL 0.02–0.05 0.16 (0.09 to 0.78) 0.09 (0.04 to 0.20) 0.001
Ferritin, µg/L 15.0–150.0 1373.0 (738.2 to 2457.0) 630.5 (266.1 to 1659.0) 0.001
IL-2 receptor, U/mL 223–710 1098 (626 to 1538) 649 (407 to 1193) 0.002
IL-6, pg/mL <7.00 47.08 (19.04 to 126.80) 21.31 (7.67 to 64.06) 0.006
IL-8, pg/mL <62.0 26.0 (14.9 to 54.4) 16.4 (9.9 to 41.0) 0.032
IL-10, pg/mL <9.10 10.20 (5.85 to 17.43) 9.00 (5.00 to 13.65) 0.128
TNFα, pg/mL <8.1 11.3 (7.4 to 18.3) 8.3 (6.9 to 12.1) 0.023
NT-proBNP, pg/mL <285 665 (170 to 2053) 259 (46 to 901) 0.007
Cardiac troponin I, pg/mL ≤15.60 23.05 (8.70 to 208.60) 10.20 (3.60 to 38.40) 0.059

*P values indicate differences between diabetes and non-diabetes. A value of p<0.05 was considered statistically significant.

APTT, activated partial thromboplastin time; ESR, erythrocyte sedimentation rate; FEU, fibrinogen equivalent units; hsCRP, high-sensitivity C-reaction protein; IL, interleukin; NT-proBNP, N-terminal pro-brain natriuretic peptide; TNFα, tumor necrosis factor α.

Eighty-five (44.0%) of all patients with severe covid-19 survived. Compared with survivors, non-survivors were significantly older (median age, 70 (IQR 62–78) years vs 46 (IQR 37–64) years) and there were more men who died (76 (70.4%) patients vs 38 (44.7%) patients). Non-survivors were more likely to have chronic diseases, including diabetes (39 (36.1%) patients vs 9 (10.6%) patients), hypertension (57 (52.8%) patients vs 16 (18.8%) patients), cardiovascular disease (27 (25.0%) patients vs 4 (4.7%) patients), cerebrovascular disease (8 (7.4%) patients vs 0 (0.0%) patients). Most non-survivors were admitted to ICU (84.3%) and non-survivors were more likely to receive glucocorticoid treatment (95 (88.0%) patients vs 41 (48.2%) patients) and mechanical ventilation treatment (105 (97.2%) patients vs 5 (5.9%) patients). Non-survivors had significantly shorter duration of hospital stay (9 (IQR 5–13) days vs 15 (IQR 13–23) days) than survivors (table 3).

Table 3.

The baseline characteristics of survivors and non-survivors infected with severe covid-19

Total (n=193) Survivors (n=85) Non-survivors (n=108) P value*
Number (%) Number (%) Number (%)
Age, median (IQR), years 64 (49 to 73) 46 (37 to 64) 70 (62 to 78) <0.001
Sex
 Male 114 (59.1) 38 (44.7) 76 (70.4) <0.001
 Female 79 (40.9) 47 (55.3) 32 (29.6)
Diabetes mellitus 48 (24.9) 9 (10.6) 39 (36.1) <0.001
Hypertension 73 (37.8) 16 (18.8) 57 (52.8) <0.001
Cardiovascular disease 31 (16.1) 4 (4.7) 27 (25.0) <0.001
Cerebrovascular disease 8 (4.1) 0 (0.0) 8 (7.4) 0.010
Chronic kidney disease 4 (2.1) 1 (1.2) 3 (2.8) 0.790
Chronic pulmonary disease 14 (7.3) 3 (3.5) 11 (10.2) 0.136
Chronic liver disease 1 (0.5) 0 (0.0) 1 (0.9) 1.000
ICU patients 92 (47.7) 1 (1.2) 91 (84.3) <0.001
Glucocorticoid treatment 136 (70.5) 41 (48.2) 95 (88.0) <0.001
Mechanical ventilation treatment† 110 (57.0) 5 (5.9) 105 (97.2) <0.001
Length of hospital stay, median (IQR), days 13 (7 to 16) 15 (13 to 23) 9 (5 to 13) <0.001

*P values indicate differences between survivors and non-survivors. A value of p<0.05 was considered statistically significant.

†Non-invasive mechanical ventilation and invasive mechanical ventilation were included. Non-invasive mechanical ventilation included bilevel positive airway pressure ventilation or high-flow nasal cannula oxygen therapy.

ICU, intensive care unit.

Among patients with severe covid-19 with diabetes, 39 (81.2%) patients died. The Kaplan-Meier survival curve also showed a trend toward poorer survival in patients with diabetes compared with patients without diabetes, and the HR was 3.17 (95% CI 1.93 to 5.20) (figure 1). The median survival duration from hospital admission was 10 days in patients with diabetes and was 18 days in patients without diabetes. After adjustment for age and sex by Cox regression, the HR was 1.66 (95% CI 1.11 to 2.47; p=0.013). After further adjustment for hypertension, cardiovascular disease and cerebrovascular disease, patients with diabetes still had a lower survival rate than patients without diabetes (HR 1.53 (95% CI 1.02 to 2.30); p=0.041). In addition, the median survival duration from symptom appearance was 21 days in patients with diabetes and 28 days in patients without diabetes. The Kaplan-Meier survival curve also showed a lower survival rate in patients with diabetes compared with patients without diabetes, and the HR was 2.60 (95% CI 1.62 to 4.18; p<0.001).

Figure 1.

Figure 1

Kaplan-Meier survival curve for patients with severe covid-19 with and without diabetes.

Of 48 patients with severe covid-19 with diabetes, men were more likely to die. Compared with survivors with diabetes, non-survivors had longer diabetes duration, and more non-survivors reported cough and dyspnea. Age, medicine control for diabetes, glycated hemoglobin, other symptoms and comorbidities between survivors and non-survivors with diabetes showed no significant differences. More non-survivors were admitted to ICU, received mechanical ventilation treatment and glucocorticoid treatment, but had significantly shorter duration of hospital stay, which reflected the rapid progress of disease in non-survivors (table 4).

Table 4.

The baseline characteristics of survivors and non-survivors in patients with severe covid-19 with diabetes

Total (n=48) Survivors (n=9) Non-survivors (n=39) P value*
Number (%) Number (%) Number (%)
Age, mean±SD, years 69.4±9.9 64.7±7.3 70.5±10.1 0.112
Sex
 Male 33 (68.8) 3 (33.3) 30 (76.9) 0.032
 Female 15 (31.3) 6 (66.7) 9 (23.1)
Diabetes duration, median (IQR), years 2 (1 to 5) 0.5 (0.5 to 2.5) 2 (1 to 5) 0.021
Medicine control for diabetes†
 No medication 20/34 (58.8) 6/9 (66.7) 14/25 (56.0) 0.266
 Oral medication 10/34 (29.4) 3/9 (33.3) 7/25 (28.0)
 Insulin  4/34 (11.8) 0/9 (0.0) 4/25 (16.0)
Glycated hemoglobin, %
 <7.0 17 (35.4) 4 (44.4) 13 (33.3) 0.852
 ≥7.0,<8.0 16 (33.3) 2 (22.2) 14 (35.9)
 ≥8.0,<9.0 11 (22.9) 2 (22.2) 9 (23.1)
 ≥9.0 4 (8.3) 1 (11.1) 3 (7.7)
Symptoms
 Fever 43 (89.6) 7 (77.8) 36 (92.3) 0.496
 Cough 37 (77.1) 3 (33.3) 34 (87.2) 0.002
 Dyspnea 33 (68.8) 3 (33.3) 30 (76.9) 0.032
 Diarrhea 10 (20.8) 4 (44.4) 6 (15.4) 0.139
 Nausea 2 (4.2) 0 (0.0) 2 (5.1) 1.000
 Anorexia 21 (43.8) 2 (22.2) 19 (48.7) 0.284
 Headache 5 (10.4) 0 (0.0) 5 (12.8) 0.568
 Fatigue 28 (58.3) 4 (44.4) 24 (61.5) 0.574
Comorbidities
 Hypertension 24 (50.0) 3 (33.3) 21 (53.8) 0.460
 Cardiovascular disease 13 (27.1) 2 (22.2) 11 (28.2) 1.000
 Cerebrovascular disease 5 (10.4) 0 (0.0) 5 (12.8) 0.568
 Chronic pulmonary disease 4 (8.3) 0 (0.0) 4 (10.3) 1.000
Exposure to disease 17 (35.4) 6 (66.7) 11 (28.2) 0.074
ICU patients 32 (66.7) 0 (0.0) 32 (82.1) <0.001
Glucocorticoid treatment 39 (81.3) 4 (44.4) 35 (89.7) 0.008
Mechanical ventilation treatment‡ 39 (81.3) 1 (11.1) 38 (97.4) <0.001
Length of hospital stay, median (IQR), days 10 (6 to 13) 14 (11 to 18) 9 (6 to 12) 0.004

*P values indicate differences between survivors and non-survivors. A value of p<0.05 was considered statistically significant.

†Data were expressed as n/N (%), where N indicated available total cases.

‡Non-invasive and invasive mechanical ventilation were included. Non-invasive mechanical ventilation included bilevel positive airway pressure ventilation or high-flow nasal cannula oxygen therapy.

ICU, intensive care unit.

Compared with survivors with diabetes, non-survivors had higher levels of leukocyte count, neutrophil count, hsCRP, procalcitonin, ferritin, IL-2 receptor, IL-6, TNFα, and lower levels of lymphocyte count, which indicated non-survivors with diabetes had more severe inflammatory response. Non-survivors with diabetes also had a lower level of albumin, and higher levels of total bilirubin, aspartate aminotransferase, creatine kinase, lactic dehydrogenase, urea nitrogen, creatine, cardiac troponin I, NT-proBNP, prothrombin time, D-dimer than survivors, reflecting severe cardiac, hepatic, renal and coagulation impairment (table 5).

Table 5.

The biochemical values of survivors and non-survivors in patients with severe covid-19 with diabetes on admission to hospital

Normal range Survivors (n=9) Non-survivors (n=39) P value*
Median (IQR) Median (IQR)
Random blood glucose, mmol/L 9.02 (6.39 to 13.73) 12.38 (8.39 to 17.35) 0.096
Glycated hemoglobin, mean±SD, % 4.0–6.0 7.6±1.3 7.4±1.0 0.639
Leukocyte count, ×109/L 3.50–9.50 4.93 (3.50 to 7.58) 9.09 (6.20 to 13.34) 0.004
Neutrophil count, ×109/L 1.80–6.30 3.23 (2.26 to 5.38) 8.04 (5.36 to 12.49) 0.001
Lymphocyte count, ×109/L 1.10–3.20 0.94 (0.54 to 1.84) 0.50 (0.34 to 0.76) 0.024
Hemoglobin, g/L 115.0–150.0 125.0 (112.0 to 141.5) 131 (115 to 140) 0.682
Platelet count, ×109/L 125.0–350.0 161.0 (159.5 to 286.5) 160.0 (113.0 to 228.0) 0.219
Prothrombin time, s 11.5–14.5 13.6 (13.2 to 14.4) 15.2 (13.8 to 17.4) 0.007
Thrombin time, s 14.0–19.0 16.1 (15.7 to 17.0) 18.1 (15.8 to 20.0) 0.124
APTT, s 29.0–42.0 36.3 (33.9 to 42.7) 39.0 (36.1 to 45.5) 0.188
Fibrinogen, mean±SD, g/L 2.00–4.00 4.80±1.38 5.08±2.50 0.748
D-dimer, µg/mL FEU <0.5 0.41 (0.26 to 0.89) 4.95 (1.80 to 21.00) <0.001
Alanine aminotransferase, U/L ≤33.0 20.0 (13.5 to 31.5) 23.0 (17.0 to 40.0) 0.369
Aspartate aminotransferase, U/L ≤32.0 26.0 (16.5 to 34.0) 41.0 (24.0 to 63.0) 0.023
Albumin, mean±SD, g/L 35.0–52.0 37.2±2.6 31.0±5.0 0.001
Total bilirubin, µmol/L ≤21.0 7.5 (6.5 to 11.1) 13.4 (9.3 to 22.2) 0.007
Creatine kinase, U/L ≤170.0 76.5 (46.5 to 107.3) 207.0 (92.0 to 331.0) 0.013
Lactic dehydrogenase, U/L 135–214 237 (185 to 296) 501 (359 to 748) <0.001
Cholesterol, mean±SD, mmol/L <5.18 3.75±0.69 3.56±1.00 0.599
Triglyceride, mmol/L <1.70 1.12 (1.00 to 2.04) 1.92 (1.52 to 2.59) 0.086
Urea nitrogen, mmol/L 3.1–8.8 2.9 (2.7 to 4.6) 9.5 (6.2 to 12.7) <0.001
Creatinine, µmol/L 45.0–84.0 65.0 (53.5 to 79.5) 88.0 (73.0 to 114.0) 0.014
Uric acid, µmol/L 202.3–416.5 263.0 (167.0 to 318.4) 277.3 (184.0 to 374.0) 0.376
hsCRP, mg/L <1.0 13.0 (1.0 to 48.0) 97.2 (64.4 to 191.0) <0.001
ESR, mm/H 0.0–20.0 32.0 (4.3 to 50.5) 38.5 (15.8 to 77.5) 0.230
Procalcitonin, ng/mL 0.02–0.05 0.05 (0.03 to 0.08) 0.38 (0.13 to 1.18) <0.001
Ferritin, µg/L 15.0–150.0 432.5 (245.8 to 809.1) 1612.0 (1125.0 to 2733.0) <0.001
IL-2 receptor, U/mL 223–710 541 (331 to 837) 1180 (931 to 1654) 0.001
IL-6, pg/mL <7.00 22.20 (5.87 to 43.03) 55.77 (26.99 to 137.90) 0.016
IL-8, pg/mL <62.0 21.9 (13.3 to 193.0) 27.2 (15.9 to 53.0) 0.945
TNFα, pg/mL <8.1 7.3 (5.9 to 11.8) 12.8 (8.0 to 19.6) 0.022
NT-proBNP, pg/mL <285 46 (31 to 267) 970 (323 to 2535) <0.001
Cardiac troponin I, pg/mL ≤15.60 1.9 (1.9 to 5.0) 43.1 (11.0 to 239.4) <0.001

*P values indicate differences between survivors and non-survivors. A value of p<0.05 was considered statistically significant.

APTT, activated partial thromboplastin time; ESR, erythrocyte sedimentation rate; FEU, fibrinogen equivalent units; hsCRP, high-sensitivity C-reaction protein; IL, interleukin; NT-proBNP, N-terminal pro-brain natriuretic peptide; TNFα, tumor necrosis factor α.

Discussion

The purpose of this present retrospective study was to figure out the clinical characteristics of patients with severe covid-19 with diabetes, and evaluate the role of diabetes in the outcome of patients with severe covid-19. We mainly illustrated that patients with severe covid-19 with diabetes were older, and had severer inflammation response compared with patients with severe covid-19 without diabetes. Furthermore, the Kaplan-Meier survival curve showed that the survival rate of patients with severe covid-19 with diabetes was significantly lower.

Previous studies suggested that patients with severe covid-19 had a high prevalence of diabetes,8 9 14 which was nearly 20% compared with 11.6%15 in Chinese adults. But few researches focused on the clinical characteristics of patients with severe covid-19 with diabetes and the direct correlation between diabetes and survival rate in patients with severe covid-19. Our observations were in line with previous findings that the prevalence of diabetes in patients with severe covid-19 is up to 24%. Patients with diabetes were more likely to develop covid-19, which may be due to the fact that patients with diabetes had low pulmonary function.13 But the mechanisms explaining lung dysfunction in diabetes remain vague. Animal studies suggested that alveolar capillary microangiopathy and interstitial fibrosis were induced by glycosylation of the lung tissue collagen in the diabetes model, and this process was mediated by nicotinamide adenine dinucleotide phosphate (NADPH) oxidase and angiotensin II.16 17 Autopsy also identified that patients with diabetes had thickening lung basal lamina,18 which may have an influence on pulmonary diffusion function.

According to our study, patients with severe covid-19 with diabetes had a similar pattern of clinical characteristics to patients with severe covid-19 without diabetes. Patients with severe covid-19 with diabetes had a high proportion of symptoms of cough and dyspnea, but it did not reach a statistically significant difference due to the small sample size.

The obvious laboratory abnormalities observed in our study were increased leukocytes, neutrophils and decreased lymphocytes in patients with severe covid-19 with diabetes compared with patients with severe covid-19 without diabetes. This observation may suggest that patients with diabetes had more serious infection of virus, and probably were inclined to accompany bacterial infection. In addition, inflammatory indicators were more severe in patients with severe covid-19 with diabetes, such as hsCRP, procalcitonin, IL-2 receptor, IL-6, IL-8 and TNFα. Several potential pathway studies suggested diabetes and obesity may lead to activate differentiation of CD4+ T cells though Th1 cell and Th2 cell,12 19 20 and induce dysfunction of Th17 cells21 and Treg cells which affected the balance of proinflammation and anti-inflammation.22 And immune system imbalance may induce secretion of inflammatory cytokines. Additionally, increased level of urea nitrogen, albumin and NT-proBNP were also observed in our study. These abnormalities suggest that covid-19 infection may be associated with progressive systemic injury in patients with diabetes.

Diabetes was reported to increase the risk of complications in severe acute respiratory syndrome (SARS), H1N1 influenza virus infection and Middle East respiratory syndrome (MERS).23–26 Covid-19 was defined as β-coronavirus, which had 85% sequence similarity with SARS and 50% sequence similarity with MERS.27 The structural protein S of covid-19 invades lung cells though the binding of structural protein S to the receptors, such as ACE2 and CD147.28 Severe pneumonia causes lung damage, which may cause acute respiratory distress syndrome, and even lead to septic shock. Similar to previous studies, patients with severe covid-19 with diabetes in our study were particularly susceptible to receive mechanical ventilation and intensive care, and had higher mortality than those without diabetes. Meanwhile the median survival duration from hospital admission was significantly shortened in patients with diabetes compared with patients without diabetes. The mechanisms linking diabetes with higher mortality and shorter survival time in patients with diabetes were lung dysfunction and aggravated inflammation, which we discussed in the previous part. Another potential mechanism was that hyperglycemia was a risk factor for mortality.25 Hyperglycemia induced by diabetes was linked to aggressive glycosylation,29 which leads to overproduction of advanced glycation end products. And aberrant glycosylation was considered to be related to dysfunction of immunoglobulins.30 Dysregulation in glycosylation of IgG Fc domains may lead to susceptibility to infectious diseases.31 In addition, dysfunction of IgG may impair clearance function between phagocytic cell antigens (such as bacteria or virus, which may aggravate serious infection). And hyperglycemia may be due to following reasons: (1) Patients with severe covid-19 were unable to take food regularly, and the nutritional support was mainly though intravenous fluid infusion. (2) Covid-19 could cause dysfunction of gastrointestinal absorption. (3) Steroid treatment. (4) Infection itself can cause blood glucose fluctuation. Covid-19 was reported to use ACE2 as a receptor,27 which was expressed in lung, pancreas and other tissues. Covid-19 may bind to ACE2 in pancreas, which can damage pancreatic function and lead to hyperglycemia.

Among patients with severe covid-19 with diabetes, our observations were in line with previous findings that more non-survivors were men.7 The specific mechanism for covid-19 susceptibility in men was that expression of ACE2 in men was nearly three times more than women.32 In addition, non-survivors had severe inflammatory response, and cardiac, hepatic, renal and coagulation impairment, which is consistent with previous studies.7 8

The strengths of the study are discussed as follows. First, our study found that diabetes was associated with high mortality and short survival duration in patients with severe covid-19. Second, clinical data of patients with severe covid-19 were collected from Tongji Hospital, which is a designated hospital responsible for the treatment of patients with severe covid-19 in Wuhan. Third, all authors are first line doctors, who could directly observe participants. There are several limitations of our study. First, the sample size was relatively small. Second, a retrospective method was used in our study. Third, high mortality was observed in our study. It may be explained by the fact that Tongji Hospital is the designated hospital for severe cases. In fact, with the accumulation of treatment experience, the mortality in patients with severe covid-19 dramatically decreases. So the real mortality in patients with severe covid-19 still needs further study on large sample.

In summary, our findings demonstrated that patients with severe covid-19 with diabetes were more likely to receive mechanical ventilation and admission to ICU, and had higher mortality. Patients with severe covid-19 with diabetes exhibit severe inflammation response. Furthermore, our results suggest that diabetes can be considered a risk factor for death in patients with severe covid-19. Finally, intensive treatment for diabetes should be considered in the management of covid-19.

Acknowledgments

The authors thank the participants for their willingness to participate in this study The authors also thank the staff who carried out the extensive clinical and nursing work in Tongji Hospital.

Footnotes

Contributors: Author Contributions: KD, YoY, XY and YaY conceived the research and participated in the study design. YoY, FW, HR, SZ and XS assisted in collecting the data. YoY, FW and KD analyzed the data. KD and YoY drafted the manuscript. All authors read and approved the final manuscript.

Funding: This work was supported by the National Natural Science Foundation of China (81600661).

Competing interests: None declared.

Patient consent for publication: Not required.

Ethics approval: This study design and protocol were approved by the Ethics Committee of the Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology (ID: TJ-IRB20200315).

Provenance and peer review: Not commissioned; externally peer reviewed.

Data availability statement: Data are available upon reasonable request.

References

  • 1. Chen N, Zhou M, Dong X, et al. . Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 2020;395:507–13. 10.1016/S0140-6736(20)30211-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Holshue ML, DeBolt C, Lindquist S, et al. . First case of 2019 novel coronavirus in the United States. N Engl J Med 2020;382:929–36. 10.1056/NEJMoa2001191 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Rothe C, Schunk M, Sothmann P, et al. . Transmission of 2019-nCoV infection from an asymptomatic contact in Germany. N Engl J Med 2020;382:970–1. 10.1056/NEJMc2001468 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Young BE, Ong SWX, Kalimuddin S, et al. . Epidemiologic features and clinical course of patients infected with SARS-CoV-2 in Singapore. JAMA 2020. 10.1001/jama.2020.3204. [Epub ahead of print: 03 Mar 2020]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Chan JF-W, Yuan S, Kok K-H, et al. . A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 2020;395:514–23. 10.1016/S0140-6736(20)30154-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Li Q, Guan X, Wu P, et al. . Early transmission dynamics in Wuhan, China, of novel Coronavirus–Infected pneumonia. N Engl J Med Overseas Ed 2020;382:1199–207. 10.1056/NEJMoa2001316 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Yang X, Yu Y, Xu J, et al. . Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med 2020. 10.1016/S2213-2600(20)30079-5. [Epub ahead of print: 24 Feb 2020]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Wang D, Hu B, Hu C, et al. . Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020. 10.1001/jama.2020.1585. [Epub ahead of print: 07 Feb 2020]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. W-j G, Z-y N, Hu Y, et al. . Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Ouchi N, Parker JL, Lugus JJ, et al. . Adipokines in inflammation and metabolic disease. Nat Rev Immunol 2011;11:85–97. 10.1038/nri2921 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Mathis D. Immunological goings-on in visceral adipose tissue. Cell Metab 2013;17:851–9. 10.1016/j.cmet.2013.05.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Xia C, Rao X, Zhong J. Role of T lymphocytes in type 2 diabetes and diabetes-associated inflammation. J Diabetes Res 2017;2017:1–6. 10.1155/2017/6494795 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Klein OL, Aviles-Santa L, Cai J, et al. . Hispanics/Latinos with type 2 diabetes have functional and symptomatic pulmonary impairment Mirroring kidney microangiopathy: findings from the Hispanic community health Study/Study of Latinos (HCHS/SOL). Diabetes Care 2016;39:2051–7. 10.2337/dc16-1170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Huang C, Wang Y, Li X, et al. . Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020;395:497–506. 10.1016/S0140-6736(20)30183-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Xu Y, Wang L, He J, et al. . Prevalence and control of diabetes in Chinese adults. JAMA 2013;310:948–59. 10.1001/jama.2013.168118 [DOI] [PubMed] [Google Scholar]
  • 16. Yang J, Tan Y, Zhao F, et al. . Angiotensin II plays a critical role in diabetic pulmonary fibrosis most likely via activation of NADPH oxidase-mediated nitrosative damage. Am J Physiol Endocrinol Metab 2011;301:E132–44. 10.1152/ajpendo.00629.2010 [DOI] [PubMed] [Google Scholar]
  • 17. Popov D, Simionescu M. Alterations of lung structure in experimental diabetes, and diabetes associated with hyperlipidaemia in hamsters. Eur Respir J 1997;10:1850–8. 10.1183/09031936.97.10081850 [DOI] [PubMed] [Google Scholar]
  • 18. Weynand B, Jonckheere A, Frans A, et al. . Diabetes mellitus induces a thickening of the pulmonary basal lamina. Respiration 1999;66:14–19. 10.1159/000029331 [DOI] [PubMed] [Google Scholar]
  • 19. Shirakawa K, Yan X, Shinmura K, et al. . Obesity accelerates T cell senescence in murine visceral adipose tissue. J Clin Invest 2016;126:4626–39. 10.1172/JCI88606 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Deng T, Lyon CJ, Minze LJ, et al. . Class II major histocompatibility complex plays an essential role in obesity-induced adipose inflammation. Cell Metab 2013;17:411–22. 10.1016/j.cmet.2013.02.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Zhang C, Xiao C, Wang P, et al. . The alteration of Th1/Th2/Th17/Treg paradigm in patients with type 2 diabetes mellitus: relationship with diabetic nephropathy. Hum Immunol 2014;75:289–96. 10.1016/j.humimm.2014.02.007 [DOI] [PubMed] [Google Scholar]
  • 22. Jagannathan-Bogdan M, McDonnell ME, Shin H, et al. . Elevated proinflammatory cytokine production by a skewed T cell compartment requires monocytes and promotes inflammation in type 2 diabetes. J Immunol 2011;186:1162–72. 10.4049/jimmunol.1002615 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Allard R, Leclerc P, Tremblay C, et al. . Diabetes and the severity of pandemic influenza A (H1N1) infection. Diabetes Care 2010;33:1491–3. 10.2337/dc09-2215 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Booth CM, Matukas LM, Tomlinson GA, et al. . Clinical features and short-term outcomes of 144 patients with SARS in the greater Toronto area. JAMA 2003;289:2801–9. 10.1001/jama.289.21.JOC30885 [DOI] [PubMed] [Google Scholar]
  • 25. Yang JK, Feng Y, Yuan MY, et al. . Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabet Med 2006;23:623–8. 10.1111/j.1464-5491.2006.01861.x [DOI] [PubMed] [Google Scholar]
  • 26. Nassar MS, Bakhrebah MA, Meo SA, et al. . Middle East respiratory syndrome coronavirus (MERS-CoV) infection: epidemiology, pathogenesis and clinical characteristics. Eur Rev Med Pharmacol Sci 2018;22:4956–61. 10.26355/eurrev_201808_15635 [DOI] [PubMed] [Google Scholar]
  • 27. Lu R, Zhao X, Li J, et al. . Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 2020;395:565–74. 10.1016/S0140-6736(20)30251-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Wang K, Chen W, Zhou Y-S. SARS-CoV-2 invades host cells via a novel route: CD147-spike protein, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Erickson JR, Pereira L, Wang L, et al. . Diabetic hyperglycaemia activates CaMKII and arrhythmias by O-linked glycosylation. Nature 2013;502:372–6. 10.1038/nature12537 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Arnold JN, Wormald MR, Sim RB, et al. . The impact of glycosylation on the biological function and structure of human immunoglobulins. Annu Rev Immunol 2007;25:21–50. 10.1146/annurev.immunol.25.022106.141702 [DOI] [PubMed] [Google Scholar]
  • 31. Wang TT. Igg Fc glycosylation in human immunity. Curr Top Microbiol Immunol 2019;423:63–75. 10.1007/82_2019_152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Wu C, Zheng S, Chen Y. Single-Cell RNA expression profiling of ACE2, the putative receptor of Wuhan 2019-nCoV, in the nasal tissue, 2020. [Google Scholar]

Articles from BMJ Open Diabetes Research & Care are provided here courtesy of BMJ Publishing Group

RESOURCES