Literature DB >> 33214191

Coagulopathy is a major extrapulmonary risk factor for mortality in hospitalized patients with COVID-19 with type 2 diabetes.

Xiaoyan Chen1, Ying Chen2, Chaomin Wu1,3, Ming Wei4, Jie Xu5, Yen-Cheng Chao1, Juan Song1, Dongni Hou1, Yuye Zhang1, Chunling Du3, Xiaoying Li2, Yuanlin Song6,3,7,8.   

Abstract

INTRODUCTION: To investigate the risk factors for the death in patients with COVID-19 with type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS: We retrospectively enrolled inpatients with COVID-19 from Wuhan Jinyintan Hospital (Wuhan, China) between December 25, 2019, and March 3, 2020. The epidemiological and clinical data were compared between non-T2DM and T2DM or between survivors and non-survivors. Univariable and multivariable Cox regression analyses were used to explore the effect of T2DM and complications on in-hospital death.
RESULTS: A total of 1105 inpatients with COVID-19, 967 subjects with without T2DM (n=522 male, 54.0%) and 138 subjects with pre-existing T2DM (n=82 male, 59.4%) were included for baseline characteristics analyses. The complications were also markedly increased in patients with pre-existing T2DM, including acute respiratory distress syndrome (ARDS) (48.6% vs 32.3%, p<0.001), acute cardiac injury (ACI) (36.2% vs 16.7%, p<0.001), acute kidney injury (AKI) (24.8% vs 9.5%, p<0.001), coagulopathy (24.8% vs 11.1%, p<0.001), and hypoproteinemia (21.2% vs 9.4%, p<0.001). The in-hospital mortality was significantly higher in patients with pre-existing T2DM compared with those without T2DM (35.3% vs 17.4%, p<0.001). Moreover, in hospitalized patients with COVID-19 with T2DM, ARDS and coagulopathy were the main causes of mortality, with an HR of 7.96 (95% CI 2.25 to 28.24, p=0.001) for ARDS and an HR of 2.37 (95% CI 1.08 to 5.21, p=0.032) for coagulopathy. This was different from inpatients with COVID-19 without T2DM, in whom ARDS and cardiac injury were the main causes of mortality, with an HR of 12.18 (95% CI 5.74 to 25.89, p<0.001) for ARDS and an HR of 4.42 (95% CI 2.73 to 7.15, p<0.001) for cardiac injury.
CONCLUSIONS: Coagulopathy was a major extrapulmonary risk factor for death in inpatients with COVID-19 with T2DM rather than ACI and AKI, which were well associated with mortality in inpatients with COVID-19 without T2DM. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  blood coagulation; diabetes mellitus; mortality; type 2

Mesh:

Year:  2020        PMID: 33214191      PMCID: PMC7677866          DOI: 10.1136/bmjdrc-2020-001851

Source DB:  PubMed          Journal:  BMJ Open Diabetes Res Care        ISSN: 2052-4897


Mortality is much greater in patients with COVID-19 with type 2 diabetes mellitus (T2DM). Coagulopathy was a major extrapulmonary risk factor for death in inpatients with COVID-19 with T2DM rather than acute cardiac injury (ACI) and acute kidney injury (AKI), which were well associated with mortality in inpatients with COVID-19 without T2DM. Patients with COVID-19 with T2DM were associated with increased risk of death, acute respiratory distress syndrome, ACI, AKI and coagulopathy. Addressing prolonged prothrombin time/activated partial thromboplastin time can help clinicians to identify patients with T2DM with high risk of death and to take action early.

Introduction

COVID-19 has become a global pandemic and has resulted in hundreds of thousands of death since its outbreak in December 2019.1 Of note, diabetes is a major comorbidity of COVID-19 and constitutes a higher proportion of patients with severe and critically ill cases of COVID-19 than patients with mild symptoms.2 It is reported that poorly controlled blood glucose was associated markedly increased mortality in COVID-19 and pre-existing patients with diabetes.3 In patients with COVID-19, the respiratory tracts and lungs are first attacked by SARS-CoV-2 and acute respiratory distress syndrome (ARDS) rapidly develops.4 5 ARDS and other multiple organ injury are the major causes of death in patients with COVID-19.6 7 Nevertheless, in patients with COVID-19 with type 2 diabetes, the association of mortality with ARDS and other organ dysfunctions has not been well studied. In this study, we retrospectively analyzed a large group of hospitalized patients with COVID-19 in Wuhan, China, and revealed that type 2 diabetes increased the risk of death and multiple organ dysfunctions, including pulmonary complication (eg, ARDS) and extrapulmonary complications. Surprisingly, coagulopathy was a major extrapulmonary risk factor for death in hospitalized patients with COVID-19 with type 2 diabetes rather than acute cardiac injury (ACI) and acute kidney injury (AKI), which were well associated with mortality in hospitalized patients with COVID-19 without type 2 diabetes.

Methods

Study design and participants

This retrospective cohort study enrolled consecutively inpatients with COVID-19 from Wuhan Jinyintan Hospital (Wuhan, China) between 25 December 2019 and 3 March 2020 (admission date). All patients who were diagnosed with COVID-19 according to WHO interim guidance8 were included. This cohort was followed up to 10 March 2020.

Data collection

All of the medical records were reviewed and extracted from electronic medical records by well-trained physicians and medical students. After removing the personal information (eg, name and identification (ID)) of the participants and assigning a deidentified patient ID, the epidemiological, clinical, laboratory, treatment, and outcome data were acquired using a standardized data collection form. All data were independently checked by two investigators and a third physician adjudicated any difference in interpretation between the two primary reviewers.

Laboratory procedures

The protocol for confirmation of SARS-CoV-2 infection has been described previously.9 Throat-swab samples were checked for SARS-CoV-2 using real-time reverse transcription PCR. The routine blood tests included complete blood count, coagulation profiles, biochemical tests (including renal and liver functions, creatine kinase, lactate dehydrogenase, and glucose), procalcitonin, interleukin-6, serum ferritin, and myocardial enzymes. Chest X-rays or CT scans were also performed for all the inpatients. The majority of the clinical data used in this study was taken at baseline unless indicated otherwise.

Outcomes and definitions

The primary endpoint of the study was all-cause death in inpatients with COVID-19. The secondary endpoints were occurrence of ARDS, ACI, acute liver injury (ALI), AKI, coagulopathy, hypoproteinemia, and secondary infection. Fever was defined as axillary temperature of at least 37.3°C. Pre-existing type 2 diabetes mellitus (T2DM) was designated based on the patient’s medical history, which was diagnosed according to the American Diabetes Association 2010 criteria.10 Hypertension was diagnosed referring to the patient’s medical history. ARDS was diagnosed following WHO interim guideline.8 Acute liver injury was defined as jaundice with total bilirubin levels of ≥3 mg/dL and an acute increase in alanine aminotransferase of at least fivefolds the upper limit of the normal range and/or an increase in alkaline phosphatase of at least twofolds the upper limit of the normal range.11 AKI was identified according to the Kidney Disease: Improving Global Outcomes definition.12 ACI was diagnosed when serum levels of cardiac biomarkers (high-sensitive cardiac troponin I (hs-TnI)) were above the 99th percentile the upper reference limit, regardless of new abnormalities in electrocardiography and echocardiography.13 Hypoproteinemia was defined as blood albumin levels of ≤25 g/L. Coagulopathy was defined as a 3 s extension of prothrombin time (PT) or a 5 s extension of activated partial thromboplastin time.14 The diagnosis of secondary infection was determined in case of the occurrence of clinical symptoms or signs of pneumonia or bacteremia and a positive culture of a new pathogen was achieved from lower respiratory tract samples (qualified sputum, endotracheal aspirate, or bronchoalveolar lavage fluid) or blood specimens after admission.15

Statistical analysis

Continuous and categorical variables were presented using mean±SD or median (IQR) and n (%), respectively. Mann-Whitney U test, χ2 test, or Fisher’s exact were used to compare differences between non-T2DM and T2DM or between survivors and non-survivors wherever appropriate. Univariable and multivariable Cox regression analyses were used to explore the risk of type 2 diabetes on in-hospital death and complications. Results were summarized as HR and 95% CI. Our previous study and other studies have demonstrated that potential risk factors for death in patients with COVID-19, including older age, gender, comorbidities, and treatments.6 9 14 Therefore, we adjusted age, gender, comorbidities (hypertension, chronic lung disease, chronic liver disease, chronic kidney disease, coronary heart disease, and malignant tumor), and treatments (antibiotic and antiviral therapy) in this multivariable Cox regression analyses. Moreover, we included ARDS, ACI, ALI, AKI, coagulopathy, d-dimer hypoproteinemia, secondary infection and treatments (antiplatelet and anticoagulant therapy) as the factors in other Cox regression analyses to find out which one is the major risk factor for death in patients with and without T2DM. A two-sided p value less than 0.05 was considered statistically significant. All statistical analyses were performed using R V.3.6.3 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Clinical characteristics

A total of 1105 COVID-19 hospitalized patients, 967 subjects with non-T2DM (n=522 male, 54.0%) and 138 subjects with pre-existing T2DM (n=82 male, 59.4%) were included for baseline characteristics analyses (table 1). Patients with pre-existing T2DM were older (63.40±12.80 vs 55.30±14.50 years, p<0.001) had higher glycated hemoglobin (7.8% (IQR 7.1%–9.1%) vs 6.2% (IQR 5.9%–6.9%), p<0.001), and more comorbidities, including hypertension (55.1% vs 23.6%, p<0.001), coronary heart disease (15.2% vs 3.9%, p<0.001), and chronic kidney disease (5.1% vs 1.3%, p=0.006). Consistent with our previous study,9 the most common symptoms were fever (87.7%), cough (77.6%), dyspnea (54.0%), and fatigue or myalgia (38.32%) in the whole cohort. There were no significant differences between inpatients with COVID-19 with pre-existing T2DM and without T2DM regarding vital signs (blood pressure, respiratory rate, and heart rate) and chest infiltrate. As for the in-hospital treatment, more inpatients with COVID-19 with pre-existing T2DM (8.7% vs 2.6%, p<0.001) received antiplatelet therapy compared with those without pre-existing T2DM.
Table 1

Baseline characteristics of inpatients with COVID-19 with or without pre-existing T2DM

Total(N=1105)Non-T2DM(n=967)T2DM(n=138)P value
Age (years), mean±SD56.3±14.555.3±14.563.4±12.8<0.001
Gender, n (%)
 Male604 (54.7)522 (54.0)82 (59.4)0.230
 Female501 (45.3)445 (46.0)56 (40.6)
Glycated hemoglobin* (%)6.4 (5.9–7.4)6.2 (5.9–6.9)7.8 (7.1–9.1)<0.001
Comorbidities, n (%)
 Hypertension304 (27.5)228 (23.6)76 (55.1)<0.001
 Coronary heart disease59 (5.3)38 (3.9)21 (15.2)<0.001
 Chronic liver disease39 (3.5)33 (3.4)6 (4.3)0.756
 Chronic kidney disease20 (1.8)13 (1.3)7 (5.1)0.006
 Chronic lung disease†42 (3.8)35 (3.6)7 (5.1)0.403
 Malignant tumor24 (2.2)22 (2.3)2 (1.4)0.756
Signs and symptoms, n (%)
 Fever969 (87.7)852 (88.1)117 (84.8)0.266
 Cough857 (77.6)750 (77.6)107 (77.5)0.995
 Dyspnea598 (54.0)515 (53.3)82 (59.4)0.174
 Fatigue or myalgia422 (38.2)374 (38.7)48 (34.8)0.378
 Diarrhea68 (6.2)61 (6.3)7 (5.1)0.583
 Hemoptysis4 (0.4)4 (0.4)0>0.999
 Headache60 (5.4)54 (5.6)6 (4.3)0.549
Systolic blood pressure (mm Hg)125 (115–136)125 (115–136)127 (115–140)0.113
Diastolic blood pressure (mm Hg)80 (74–87)80.(75-87)80 (73–87)0.927
Respiratory rate, breaths/min21.0 (20.0–24.0)21.0 (20.0–24.0)21.0 (20.0–24.7)0.361
Heart rate (beats/min)86 (80–97)86 (80–96)86 (80–98)0.781
Chest imaging,‡ n (%)0.859
 Unilateral infiltrate117 (10.6)103 (10.7)14 (10.1)
 Bilateral infiltrate988 (89.4)864 (89.3)124 (89.9)
Treatment in hospital, n (%)
 Antiviral§580 (52.5)518 (53.6)62 (44.9)0.057
 Antibiotic1015 (91.9)887 (91.7)128 (92.8)0.680
 Corticosteroid therapy334 (30.2)293 (30.3)41 (29.7)0.888
 Antiplatelet therapy37 (3.3)25 (2.6)12 (8.7)<0.001
 Anticoagulant therapy134 (12.1)112 (11.6)22 (15.9)0.142

Data are expressed as mean±SD, median (IQR), or n (%).

*Initial test.

†Including chronic pulmonary diseases such as chronic obstructive pulmonary disease, asthma, chronic bronchitis, bronchiectasis, and pulmonary tuberculosis.

‡Chest imaging, including chest X-ray and CT scan before being hospitalized.

§Including oseltamivir, ganciclovir, lopinavir, and interferon.

T2DM, type 2 diabetes mellitus.

Baseline characteristics of inpatients with COVID-19 with or without pre-existing T2DM Data are expressed as mean±SD, median (IQR), or n (%). *Initial test. †Including chronic pulmonary diseases such as chronic obstructive pulmonary disease, asthma, chronic bronchitis, bronchiectasis, and pulmonary tuberculosis. ‡Chest imaging, including chest X-ray and CT scan before being hospitalized. §Including oseltamivir, ganciclovir, lopinavir, and interferon. T2DM, type 2 diabetes mellitus.

Biochemical and cellular characteristics

As shown in online supplemental table S1, initial laboratory findings showed that the pre-existing T2DM group had higher blood glucose (8.70 mmol/L (IQR 6.23–13.38 mmol/L)) than the non-T2DM group (5.80 mmol/L (IQR 5.10–7.20 mmol/L)), as expected. Meanwhile, patients with pre-existing T2DM had increased neutrophils (4.61×109/L (IQR 3.21–7.49×109/L) vs 3.97×109/L (IQR 2.55–6.60×109/L), p=0.011), decreased lymphocytes, including lymphocyte counts (0.82×109/L (IQR 0.59–1.19×109/L) vs 1.00×109/L (IQR 0.67–1.38×109/L), p=0.001), CD3 (367.00/μL (IQR 239.00–627.00/μL) vs 611.00/μL (IQR 439.50–890.25/μL), p=0.028), CD4 (234.00/μL (IQR 166.00–359.25/μL) vs 357.50/μL (IQR 234.00–566.00/μL), p=0.049), and CD8 (115.00/μL (IQR 77.75–154.00/μL) vs 234.00/μL (IQR 151.25–319.50/μL), p=0.005), elevated inflammatory indices, including hypersensitive C reactive protein (55.30 mg/L (IQR 15.70–129.10 mg/L) vs 29.70 mg/L (IQR 6.50–84.20 mg/L), p<0.001) and serum ferritin (598.99 ng/mL (IQR 360.07–1268.70 ng/mL) vs 525.09 ng/mL (IQR 287.63–1036.04 ng/mL), p=0.025) compared with the group without diabetes. These findings were consistent with previous study in patients with COVID-19 with T2DM.3 Consistently, dysregulated immune responses were also observed in patients with diabetes with other coronavirus infections, which revealed that diabetic mice had fewer inflammatory monocytes, macrophages and CD4 T cells, which were accompanied by impaired expressions of CCL2 and CXCL10.16 Furthermore, patients with pre-existing T2DM showed impaired kidney function, measured by urea (5.75 mmol/L (IQR 4.40–8.03 mmol/L) vs 4.50 mmol/L (IQR 3.49–5.86 mmol/L), p<0.001), creatinine (74.70 μmol/L (IQR 60.90–96.00 μmol/L) vs 68.50 μmol/L (IQR 57.20–81.00 μmol/L), p<0.001), and cystatin C (1.01 mg/L (IQR 0.85–1.48 mg/L) vs 0.85 mg/L (IQR 0.72–1.02 mg/L), p<0.001), increased heart injury, indicated by hs-TnI (9.65, pg/mL (IQR 2.90–30.90 pg/mL) vs 3.90 pg/mL (IQR 1.40–10.23 pg/mL, p<0.001), CK-MB (15.00 U/L (IQR 10.00–20.00 U/L) vs 13.00 U/L (IQR 10.00–17.00 U/L), p=0.014), and α-hydroxybutyric dehydrogenase (α-HBDH) (264.00 U/L (IQR 207.00–393.75 U/L) vs 226.00 U/L (IQR 179.00–319.00 U/L), p<0.001), dysregulated coagulation defined as prolonged PT (11.60 s (IQR 10.80–12.80 s) vs 11.30 s (IQR 10.50–12.10 s), p=0.001) and d-dimer (1.17 µg/mL (IQR 0.55–4.22 µg/mL) vs 0.73 µg/mL (IQR 0.42–1.72 µg/mL), p<0.001), and higher lactic dehydrogenase, lactate dehydrogenase (LDH) (329.00 U/L (IQR 236.00–451.50 U/L) vs 278.50 U/L (IQR 221.00–379.25 U/L), p=0.001), accompanied by lower albumin (30.40 g/L (IQR 27.00–34.00 g/L) vs 32.10 g/L (29.20–35.40 g/L), p<0.001), prealbumin (121.00 mg/L (IQR 85.00–156.00 mg/L) vs 131.00 mg/L (IQR 88.00–189.50 mg/L), p=0.014), and low-density lipoprotein (329.00 mmol/L (IQR 236.00–451.50 mmol/L) vs 278.50 mmol/L (IQR 221.00–379.25 mmol/L), p<0.001), compared with the group without diabetes. These results indicated that both a dysregulated immune response and multiple organ dysfunctions associated with pre-existing T2DM were likely responsible for poor outcomes of COVID-19 inpatients.

Primary and secondary outcomes

Until March 10, 2020, of 1105 inpatients with COVID-19, 888 patients with COVID-19 (80.4%) were discharged from the hospital, 379 (34.3%) patients developed ARDS, 198 (19.1%) ACI, 122 (11.4%) AKI, 133 (12.8%) coagulopathy, 118 (10.9%) hypoproteinemia, 107 (10.5%) secondary infection, 10 (1.0%) ALI, and 217 (19.6%) patients died (table 2). The complications were also markedly increased in patients with pre-existing T2DM, including ARDS (48.6% vs 32.3%, p<0.001), ACI (36.2% vs 16.7%, p<0.001), AKI (24.8% vs 9.5%, p<0.001), coagulopathy (24.8% vs 11.1%, p<0.001), and hypoproteinemia (21.2% vs 9.4%, p<0.001). The in-hospital mortality was significantly higher in patients with pre-existing T2DM compared with those without T2DM (35.3% vs 17.4%, p<0.001) (table 2). In the unadjusted Cox model, pre-existing T2DM was associated with increased risk of death (HR 2.00, 95% CI 1.45 to 2.75; p<0.001), ARDS (HR 1.63, 5% CI 1.25 to 2.12; p<0.001), ACI (HR 2.43, 95% CI 1.75 to 3.37; p<0.001), AKI (HR 2.71, 95% CI 1.82 to 4.04; p<0.001), coagulopathy (HR 2.28, 95% CI 1.53 to 3.39; p<0.001), and hypoproteinemia (HR 2.39, 95% CI 1.57 to 3.63; p<0.001). After adjusting for age, gender, comorbidities, and treatments (including antiviral and antibiotic therapy), the HRs for death, ARDS, ACI, AKI, coagulopathy, and hypoproteinemia in pre-existing diabetic patients were 1.47 (95% CI 1.04 to 2.08, p=0.028), 1.37 (95% CI 1.03 to 1.81, p=0.029), 1.50 (95% CI 1.05 to 2.15), p=0.025), 1.76 (95% CI 1.14 to 2.71), p=0.010), 1.58 (95% CI 1.03 to 2.44, p=0.036), and 1.92 (95% CI 1.23 to 3.02, p=0.004), respectively (online supplemental table S2).
Table 2

Outcome events in inpatients with COVID-19 with or without pre-existing T2DM

Total(N=1105)Non-T2DM(n=967)T2DM(n=138)P value
Death, n (%)217 (19.6)168 (17.4)49 (35.5)<0.001
ARDS, n (%)379 (34.3)312 (32.3)67 (48.6)<0.001
Acute cardiac injury, n (%)198/1034 (19.1)151/904 (16.7)47/130 (36.2)<0.001
Acute liver injury, n (%)10/1042 (1.0)9/911 (1.0)1/131 (0.8)>0.99
Acute kidney injury, n (%)122/1073 (11.4)89/940 (9.5)33/133 (24.8)<0.001
Coagulopathy, n (%)133/1043 (12.8)101/914 (11.1)32/129 (24.8)<0.001
Hypoproteinemia, n (%)118/1079 (10.9)89/942 (9.4)29/137 (21.2)<0.001
Secondary infection, n (%)107/1016(10.5)89/889 (10.0)18/127 (14.2)0.153

The p value was calculated by χ2 test if not indicated. n indicates cases with available data.

ARDS, acute respiratory distress syndrome; T2DM, type 2 diabetes mellitus.

Outcome events in inpatients with COVID-19 with or without pre-existing T2DM The p value was calculated by χ2 test if not indicated. n indicates cases with available data. ARDS, acute respiratory distress syndrome; T2DM, type 2 diabetes mellitus.

Coagulopathy was a major extrapulmonary risk factor for death in inpatients with COVID-19 with pre-existing T2DM

As shown in table 3, in the subgroup of COVID-19 hospitalized patients with pre-existing T2DM, patients who survived had a lower proportion of pulmonary complications (acute respiratory distress syndrome, 23.06% vs 93.88%, p<0.001) and extrapulmonary complications, including ACI (12.35% vs 75.51%, p<0.001), AKI (4.71% vs 60.42%, p<0.001), coagulopathy (11.11% vs 47.92%, p<0.001), hypoproteinemia (6.82% vs 46.94%, p<0.001), and secondary infection (9.41% vs 23.81%, p<0.001) as compared with those who died.
Table 3

Clinical features of survivors and non-survivors in patients with COVID-19 with T2DM

Survivor (n=89)Non-survivor (n=49)P value
Pulmonary complications
 ARDS, n (%)21/89 (23.06)46/49 (93.88)<0.001
Extrapulmonary complications
 Acute cardiac injury, n (%)10/81 (12.35)37/49 (75.51)<0.001
 Acute liver injury, n (%)01/45 (2.22)0.344*
 Acute kidney injury, n (%)4/85 (4.71)29/48 (60.42)<0.001
 Coagulopathy, n (%)9/81 (11.11)23/48 (47.92)<0.001
 Hypoproteinemia, n (%)6/88 (6.82)23/49 (46.94)<0.001
 Secondary infection, n (%)8/85 (9.41)10/42 (23.81)0.029
Number of complications, n (%)<0.001*
 0, n (%)45/76 (59.21)1/38 (2.63)
 1, n (%)16/76 (21.05)4/38 (10.53)
 2, n (%)13/76 (17.11)7/38 (18.42)
 3, n (%)1/76 (1.32)11/38 (28.95)
 4, n (%)1/76 (1.32)9/38 (23.68)
 5, n (%)03/38 (7.89)
 6, n (%)03/38 (7.89)

The p value was calculated by χ2 test if not indicated. n indicates cases with available data.

*Fisher test.

ARDS, acute respiratory distress syndrome; T2DM, type 2 diabetes mellitus.

Clinical features of survivors and non-survivors in patients with COVID-19 with T2DM The p value was calculated by χ2 test if not indicated. n indicates cases with available data. *Fisher test. ARDS, acute respiratory distress syndrome; T2DM, type 2 diabetes mellitus. In addition, we performed both univariate and multivariate Cox analyses in hospitalized patients with COVID-19 with or without pre-existing T2DM. ARDS, ACI, ALI, AKI, coagulopathy, d-dimer, hypoproteinemia, secondary infection, antiplatelet therapy, and anticoagulant therapy were included for multivariate Cox analyses in patients without and with pre-existing T2DM (table 4). ARDS (HR 12.18, 95% CI 5.74 to 25.89; p<0.001) and ACI (HR 4.42, 95% CI 2.73 to 7.15; p<0.001) were significantly associated with death in patients with out T2DM, whereas, after adjustment for ARDS, ACI, ALI, AKI, coagulopathy, d-dimer, hypoproteinemia, secondary infection, antiplatelet therapy, and anticoagulant therapy in the patients with pre-existing T2DM (table 4), ARDS (HR 7.96, 95% CI 2.25 to 28.24; p=0.001) and coagulopathy (HR 2.37, 95% CI 1.08 to 5.21; p=0.032) were significantly associated with death. The Kaplan-Meier survival curve also showed poorer survival in patients with coagulopathy compared with those without in hospitalized patients with COVID-19 with pre-existing T2DM (figure 1). In addition, we have tracked d-dimer changes from admission and made a dynamic analysis between survivors and non-survivors in COVID-19 inpatients with pre-existing T2DM (online supplemental figure S1). The result showed that the d-dimer in inpatients with COVID-19 with T2DM significantly increased in non-survivors. These results indicated that coagulopathy was the major extrapulmonary risk factor for the death in patients with COVID-19 with pre-existing T2DM.
Table 4

Hazard risk for mortality in inpatients with COVID-19 with and without T2DM

Non-T2DMT2DM
Univariate Cox modelMultivariate Cox modelUnivariate Cox modelMultivariate Cox model
HR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P value
Pulmonary complications
 ARDS19.79 (10.95 to 35.76)<0.00112.18 (5.74 to 25.89)<0.00112.74 (3.95 to 41.10)<0.0017.96 (2.25 to 28.24)0.001
Extrapulmonary complications
 ACI10.76 (.60 to 15.24)<0.0014.42 (2.73 to 7.15)<0.0014.18 (2.17 to 8.04)<0.0011.04 (0.41 to 2.63)0.938
 Acute liver injury5.16 (2.52 to 10.57)<0.0011.18 (0.48 to 2.88)0.7232.23 (0.30 to 16.31)0.430NANA
 AKI7.90 (5.74 to 10.87)<0.0011.06 (0.62 to 1.80)0.8423.82 (2.13 to 6.83)<0.0011.29 (0.57 to 2.90)0.540
 Coagulopathy5.30 (3.83 to 7.34)<0.0011.23 (0.74 to 2.05)0.4202.81 (1.59 to 4.99)<0.0012.37 (1.08 to 5.21)0.032
 D-dimer (μg/mL)1.03 (1.02 to 1.03)<0.0011.01 (1.00 to 1.02)0.0411.02 (1.01 to 1.03)0.0081.02 (0.99 to 1.04)0.093
 Hypoproteinemia4.35 (3.13 to 6.05)<0.0011.22 (0.78 to 1.90)0.3812.53 (1.43 to 4.48)0.0011.89 (0.79 to 4.51)0.155
 Secondary infection2.42 (1.64 to 3.58)<0.0010.64 (0.39 to 1.04)0.0701.01 (0.47 to 2.18)0.9800.46 (0.16 to 1.31)0.146
 Antiplatelet therapy1.89 (1.02 to 3.50)0.0432.40 (0.98 to 5.92)0.0570.85 (0.18 to 1.87)0.3600.36 (0.08 to 1.66)0.191
 Anticoagulant therapy2.77 (2.00 to 3.85)<0.0010.91 (0.58 to 1.44)0.6892.18 (1.19 to 3.98)0.0110.85 (0.32 to 2.27)0.751
Number of complications
 0 (reference)
 111.53 (3.34 to 39.90)<0.00111.40 (1.27 to 102.32)0.030
 255.43 (16.84 to 182.40)<0.00111.25 (1.50 to 99.99)0.020
 3129.72 (38.91 to 432.46)<0.00149.60 (6.35 to 387.40)<0.001
 486.52 (25.80 to 290.22)<0.00136.68 (4.64 to 289.83)<0.001
 5151.86 (43.26 to 533.15)<0.00169.68 (7.15 to 679.17)<0.001
 6117.26 (32.17 to 427.42)<0.00130.59 (3.14 to 298.27)0.003
 788.91 (14.79 to 534.55)<0.001NANA

ARDS, ACI, acute liver injury, AKI, coagulopathy, hypoproteinemia, and secondary infection were included in the multivariate Cox model.

ACI, acute cardiac injury; AKI, acute kidney injury; ARDS, acute respiratory distress syndrome; T2DM, type 2 diabetes mellitus.

Figure 1

Survival curve in hospitalized patients with COVID-19 with pre-existing T2DM. The survival curve was developed by the Kaplan-Meier method with log-rank test between non-coagulopathy and coagulopathy in hospitalized patients with COVID-19 with pre-existing T2DM. T2DM, type 2 diabetes mellitus.

Hazard risk for mortality in inpatients with COVID-19 with and without T2DM ARDS, ACI, acute liver injury, AKI, coagulopathy, hypoproteinemia, and secondary infection were included in the multivariate Cox model. ACI, acute cardiac injury; AKI, acute kidney injury; ARDS, acute respiratory distress syndrome; T2DM, type 2 diabetes mellitus. Survival curve in hospitalized patients with COVID-19 with pre-existing T2DM. The survival curve was developed by the Kaplan-Meier method with log-rank test between non-coagulopathy and coagulopathy in hospitalized patients with COVID-19 with pre-existing T2DM. T2DM, type 2 diabetes mellitus.

Discussion

In the current study, we demonstrated that type 2 diabetes, a common comorbidity of COVID-19, was associated with a higher risk of death and multiple organ dysfunctions. Moreover, in hospitalized patients with COVID-19 with T2DM, ARDS and coagulopathy were the main causes of mortality, with HR of 7.96 (95% CI 2.25 to 28.24, p=0.001) for ARDS and HR of 2.37 (95% CI 1.08 to 5.21, p=0.032) for coagulopathy. This was different from inpatients with COVID-19 without T2DM, in whom ARDS and cardiac injury were the main causes of mortality, with an HR of 12.18 (95% CI 5.74 to 25.89, p<0.001) for ARDS and an HR of 4.42 (95% CI 2.73 to 7.15, p<0.001) for cardiac injury. Our study first demonstrated that coagulopathy complication emerged as a key risk factor in hospitalized patients with COVID-19 with type 2 diabetes in addition to pulmonary complication. The SARS-CoV-2 infection caused clusters of pulmonary illness similar to SARS coronavirus infection and ARDS rapidly developed in severe patients.17 Not only capable of causing pulmonary illness, COVID-19 may also cause damage to extrapulmonary organs such as the heart, the kidneys, as well as other organ systems such as the blood and the immune system.18 Patients with COVID-19 eventually died of ARDS, multiple organ failure, shock, heart failure, arrhythmias, and renal failure.6 19 Type 2 diabetes is a common comorbidity and exists in approximately 20% of hospitalized patients with COVID-19 in Wuhan, China.6 Evidence from epidemiological observations showed that the risk of a fatal outcome was 50% increase in patients with COVID-19 with diabetes compared with those without diabetes.3 Notably, care must be taken in interpreting the significant difference in outcomes between patients with COVID-19 with diabetes and those without diabetes. In our study, we demonstrated that ARDS was independently associated with an increased risk of mortality in both patients with diabetes and those without diabetes, which is consistent with previous studies showing that severe respiratory dysfunction was the main cause of coronavirus-induced death.20 Moreover, in patients with COVID-19 without diabetes, cardiac injury was independently with an increased risk of mortality. This was also consistent with previous studies reported that patients with COVID-19 with cardiac injury presented with more severe acute illness and a higher risk of mortality during hospitalization.7 21 However, it is notable that coagulopathy rather than cardiac injury was independently associated with an increased risk of mortality in patients with diabetes with COVID-19. In our study, 24.8% of patients with diabetes developed coagulopathy. This suggested coagulopathy played a critical role in the pathogenesis of SARS-CoV-2-induced death in patients with diabetes. Type 2 diabetes is a prothrombotic state. Hyperglycemia and chronic hyperinsulinism are the origin of abnormalities in all phases of coagulation, including platelet hyper-reactivity, endothelial dysfunction, impaired fibrinolysis, leukocyte activation, low-grade inflammation, and microparticle involvement.22 23 In our study, patients with COVID-19 with type 2 diabetes showed elevated d-dimer and prolonged PT. Coagulopathy occurred more frequently in patients with COVID-19 with diabetes than those without diabetes. However, the mechanism of coagulopathy among these patients with COVID-19 remains uncertain. Evidence from case reports elucidated the clinical sequential traits in patients with COVID-19 with diabetes or not. The patient with diabetes and obesity developed progressive respiratory failure and subsequently developed multiorgan failure. Then once mesenteric ischemia occurred, myocardial infarction and circulatory failure subsequently occurred, which led to death. However, in other patients without diabetes, when the mesenteric ischemia occurred, the disease deterioration did not progress so quickly and fatally, and the patient finally survived with small intestine resection.24 The reasons for the discrepancy could be attributed to the prothrombotic response, which attempts to prevent diffuse hemorrhage, but instead resulted in overt clot formation with detrimental effects in patient recovery and survival. SARS-CoV-1 and Middle East Respiratory syndrome presented with thrombotic complications and hematological manifestations.25 26 Similarly, coagulopathy has emerged as an important issue in patients with COVID-19. SARS-CoV-2 infected the host through the ACE 2 receptor, which was expressed in several organs, including the lung, heart, kidney and intestine, and also expressed by endothelial cells27 that facilitated the induction of endotheliitis. The dysfunction of endothelial cells induced by infection resulted in excess thrombin generation and fibrinolysis shutdown,28 29 which indicated a hypercoagulable state in patients with COVID-19. Existence of disseminated intravascular coagulation is common in dying patients with COVID-19. Abnormal coagulation with increased d-dimer, fibrin degradation product and prolonged PT have been found to be associated with poor prognosis in patients infected by the SARS-CoV-2.30 Moreover, our study demonstrated coagulopathy was the major extrapulmonary risk factor for death in hospitalized patients with COVID-19 with type 2 diabetes, though cardiac injury was well associated with mortality in hospitalized patients with COVID-19 without type 2 diabetes. The early application of anticoagulant therapy in severe COVID-19 has been suggested by some expert consensus for improving outcome31; however, no specific inclusion or exclusion criteria have been pointed out so far. Tang et al demonstrated the mortality of heparin users were lower than non-users in patients with a sepsis-induced coagulopathy score of ≥4 or d-dimer of >3.0 ug/mL, and suggested that heparin treatment appears to be associated with better prognosis in patients with severe COVID-19 with coagulopathy.32 The findings in our study additionally suggested the need of early application of anticoagulant therapy in the hospitalized patients with COVID-19 with diabetes. However, the type of drug, dosage and optimal duration of anticoagulant therapy need to be elucidated. Our study also had some limitations. First, due to the retrospective study design, not all laboratory tests were examined in all patients. Therefore, their role might be underestimated as the mediator in the association between diabetes and death in patients with COVID-19. Second, this study was conducted in a single-center hospital with limited sample size, and the data regarding body mass index and state of diabetes control were not comprised in this study. Data from a larger population and multiple centers are warranted to further confirm the association of coagulopathy with mortality in patients with COVID-19 with diabetes. Finally, the retrospective design in nature could not elucidate the effect of anticoagulant therapy on better prognosis in patients with COVID-19 with diabetes, because patients were treated with heparin during hospitalization once they had developed coagulopathy or disseminated intravascular coagulation. A well-designed randomized controlled trial could be conducted to explore the effect of early application of anticoagulant therapy. In conclusion, type 2 diabetes is a common comorbidity among hospitalized patients with COVID-19, and it is associated with a higher risk of in-hospital mortality and pulmonary and extrapulmonary complications. Specifically, in hospitalized patients with COVID-19 with type 2 diabetes, coagulopathy complication is emerging as a key risk factor of death, in addition to pulmonary complication. Although the exact mechanism still needs to be elucidated, these findings suggest an urgent need to consider anticoagulant therapy in the management of hospitalized patients with COVID-19 with diabetes.
  26 in total

1.  Effect of angiotensin-converting enzyme inhibition and angiotensin II receptor blockers on cardiac angiotensin-converting enzyme 2.

Authors:  Carlos M Ferrario; Jewell Jessup; Mark C Chappell; David B Averill; K Bridget Brosnihan; E Ann Tallant; Debra I Diz; Patricia E Gallagher
Journal:  Circulation       Date:  2005-05-16       Impact factor: 29.690

2.  Haematological manifestations in patients with severe acute respiratory syndrome: retrospective analysis.

Authors:  Raymond S M Wong; Alan Wu; K F To; Nelson Lee; Christopher W K Lam; C K Wong; Paul K S Chan; Margaret H L Ng; L M Yu; David S Hui; John S Tam; Gregory Cheng; Joseph J Y Sung
Journal:  BMJ       Date:  2003-06-21

3.  Anticoagulant treatment is associated with decreased mortality in severe coronavirus disease 2019 patients with coagulopathy.

Authors:  Ning Tang; Huan Bai; Xing Chen; Jiale Gong; Dengju Li; Ziyong Sun
Journal:  J Thromb Haemost       Date:  2020-04-27       Impact factor: 5.824

4.  Rapid Progression to Acute Respiratory Distress Syndrome: Review of Current Understanding of Critical Illness from Coronavirus Disease 2019 (COVID-19) Infection

Authors:  Ken J Goh; Mindy Cm Choong; Elizabeth Ht Cheong; Shirin Kalimuddin; Sewa Duu Wen; Ghee Chee Phua; Kian Sing Chan; Salahudeen Haja Mohideen
Journal:  Ann Acad Med Singap       Date:  2020-03-16       Impact factor: 2.473

5.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

6.  Acute fibrinolysis shutdown occurs early in septic shock and is associated with increased morbidity and mortality: results of an observational pilot study.

Authors:  Felix Carl Fabian Schmitt; Vasil Manolov; Jakob Morgenstern; Thomas Fleming; Stefan Heitmeier; Florian Uhle; Mohammed Al-Saeedi; Thilo Hackert; Thomas Bruckner; Herbert Schöchl; Markus Alexander Weigand; Stefan Hofer; Thorsten Brenner
Journal:  Ann Intensive Care       Date:  2019-01-30       Impact factor: 6.925

7.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

8.  Cardiovascular Implications of Fatal Outcomes of Patients With Coronavirus Disease 2019 (COVID-19).

Authors:  Tao Guo; Yongzhen Fan; Ming Chen; Xiaoyan Wu; Lin Zhang; Tao He; Hairong Wang; Jing Wan; Xinghuan Wang; Zhibing Lu
Journal:  JAMA Cardiol       Date:  2020-07-01       Impact factor: 14.676

9.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

Review 10.  Coagulatory Defects in Type-1 and Type-2 Diabetes.

Authors:  Amélie I S Sobczak; Alan J Stewart
Journal:  Int J Mol Sci       Date:  2019-12-16       Impact factor: 5.923

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  4 in total

1.  Post-acute sequelae of COVID-19: A metabolic perspective.

Authors:  Philipp E Scherer; John P Kirwan; Clifford J Rosen
Journal:  Elife       Date:  2022-03-23       Impact factor: 8.140

2.  Early changes in laboratory parameters are predictors of mortality and ICU admission in patients with COVID-19: a systematic review and meta-analysis.

Authors:  Szabolcs Kiss; Noémi Gede; Péter Hegyi; Dávid Németh; Mária Földi; Fanni Dembrovszky; Bettina Nagy; Márk Félix Juhász; Klementina Ocskay; Noémi Zádori; Zsolt Molnár; Andrea Párniczky; Péter Jenő Hegyi; Zsolt Szakács; Gabriella Pár; Bálint Erőss; Hussain Alizadeh
Journal:  Med Microbiol Immunol       Date:  2020-11-21       Impact factor: 3.402

Review 3.  Diabetes and tuberculosis: a syndemic complicated by COVID-19.

Authors:  Violeta Antonio-Arques; Josep Franch-Nadal; Joan A Caylà
Journal:  Med Clin (Barc)       Date:  2021-05-06       Impact factor: 1.725

4.  A Systematic Review and Meta-analysis of Diabetes Associated Mortality in Patients with COVID-19.

Authors:  Puneeta Gupta; Meeta Gupta; Neena KAtoch; Ketan Garg; Bhawna Garg
Journal:  Int J Endocrinol Metab       Date:  2021-09-15
  4 in total

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