Literature DB >> 35041121

Metformin use in patients hospitalized with COVID-19: lower inflammation, oxidative stress, and thrombotic risk markers and better clinical outcomes.

Abira Usman1, Kevin P Bliden1, Alastair Cho1, Naval Walia1, Christophe Jerjian1, Arvind Singh1, Parshotam Kundan1, Sanchit Duhan1, Udaya S Tantry1, Paul A Gurbel2.   

Abstract

Diabetes mellitus (DM) is associated with a greater risk of COVID-19 and an increased mortality when the disease is contracted. Metformin use in patients with DM is associated with less COVID-19-related mortality, but the underlying mechanism behind this association remains unclear. Our aim was to explore the effects of metformin on markers of inflammation, oxidative stress, and hypercoagulability, and on clinical outcomes. Patients with DM on metformin (n = 34) and metformin naïve (n = 41), and patients without DM (n = 73) were enrolled within 48 h of hospital admission for COVID-19. Patients on metformin compared to naïve patients had a lower white blood cell count (p = 0.02), d-dimer (p = 0.04), urinary 11-dehydro thromboxane B2 (p = 0.01) and urinary liver-type fatty acid binding protein (p = 0.03) levels and had lower sequential organ failure assessment score (p = 0.002), and intubation rate (p = 0.03), fewer hospitalized days (p = 0.13), lower in-hospital mortality (p = 0.12) and lower mortality plus nonfatal thrombotic event occurrences (p = 0.10). Patients on metformin had similar clinical outcomes compared to patients without DM. In a multiple regression analysis, metformin use was associated with less days in hospital and lower intubation rate. In conclusion, metformin treatment in COVID-19 patients with DM was associated with lower markers of inflammation, renal ischemia, and thrombosis, and fewer hospitalized days and intubation requirement. Further focused studies are required to support these findings.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biomarker; COVID-19; Death; Diabetes; Intubation; Metformin; Thromboelastography

Mesh:

Substances:

Year:  2022        PMID: 35041121      PMCID: PMC8764325          DOI: 10.1007/s11239-022-02631-7

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   5.221


Highlights

Fasting blood glucose level in patients with COVID-19 has been shown to be associated with severity of the disease and poor outcomes, including mortality. Metformin use in patients with DM is associated with less COVID-19-related mortality, but the underlying mechanism behind this association remains unclear. In this single center study, metformin treatment in COVID-19 patients with DM was associated with lower markers of inflammation, renal ischemia, and thrombosis, and fewer hospitalized days and intubation requirement. In a multiple regression analysis, metformin use was associated with less days in hospital and lower intubation rate.

Introduction

Patients with COVID-19 have a higher prevalence of preexisting DM. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is known to induce new onset DM suggesting a bidirectional association [1, 2]. Since both diseases are associated with endothelial dysfunction, inflammation, and hypercoagulability, their co-existence has been associated with a higher rate of severe adverse event occurrences, including mortality [3-5]. Moreover, fasting blood glucose level in patients with COVID-19 has been shown to be associated with severity of the disease and poor outcomes, including mortality [6]. Therefore, in addition to the standard-of-care treatment, rigorous control of blood glucose is an important treatment strategy in patients with COVID-19 and DM. Among glucose lowering agents, metformin is the most widely used. It is a well-studied, widely available, inexpensive agent with limited side effects. Significantly lower in-hospital mortality has been reported in meta-analyses and retrospective studies of patients with COVID-19 treated with metformin [7, 8]. In a recent population-based study of 2.85 million patients with COVID-19 and type 2 DM from the United Kingdom, metformin was the most widely used agent and was associated with a 23% reduction in in-hospital mortality (adjusted HR 0.77, 95% CI 0.73–0.81), whereas insulin therapy was associated with a 42% increase in in-hospital mortality (adjusted HR 1.42, 95% CI 1.35–1.49) compared to no recorded prescription of glucose lowering drugs [9]. In another study of an elderly minority population with COVID-19 from the United States of America (n = 11,390), metformin treatment was associated with lower rates of hospitalization and death and less disease severity [10]. In addition to glucose lowering effects, in vitro and animal model experiments have demonstrated anti-inflammatory and immunomodulatory effects of metformin [11-13]. Thus far, minimal data is available regarding the relation between metformin treatment, laboratory biomarkers, and their association to clinical outcomes in patients with COVID-19. Therefore, our aim was to study biomarkers of COVID-19, inflammation, hypercoagulability, renal ischemia and oxidative stress and in-hospital clinical outcomes in COVID-19 patients with DM treated with and without metformin and in patients without DM.

Research design and methods

This report is a sub-analysis of the evaluation of hemostasis in hospitalized COVID-19 patients (TARGET-COVID) study (URL: https://www.clinicaltrials.gov; Unique identifier: NCT04493307). The study was performed in accordance with standard ethical principles and approved by the local institutional review board. Patients were eligible for enrollment into the study if they were 18 years of age or older, had a new diagnosis of COVID-19 infection and were being admitted to hospital on either in-patient acute care or critical care service. All participants of the study were selected for this sub-analysis for one of the three arms including patients without diabetes mellitus, patients with diabetes mellitus on metformin and patient with diabetes mellitus not on metformin. All patients provided written consent. We enrolled hospitalized patients within 48 h of hospitalization between April, 2020 and February, 2021 who were diagnosed with COVID-19 by reverse transcription-polymerase chain reaction assay. Diabetes mellitus was defined as patients on oral hypoglycemic agents/insulin or hemoglobin A1c level of > 6.5% [14]. Seventy-three patients without DM, thirty-four patients with DM on metformin therapy at the time of hospital admission and forty-one patients with DM who were metformin naïve were enrolled.

Sample collection

Laboratory assessments were conducted within 48 h of hospital admission. Venous blood was collected into Vacutainer tubes (Becton‐Dickinson, Franklin Lakes, NJ, USA) containing 3.2% trisodium citrate for the thromboelastography (TEG)-6 s assay.

Thromboelastography

The TEG‐6 s is a microfluidic automated cartridge-based assay that can be used at the bedside [15]. The citrated multi‐channel assay measures platelet–fibrin clot strength or maximum amplitude (P-FCS or MA), reaction time (R, a measure of the enzymatic phase of coagulation), kinetics (K, a measure of the time to reach 20 mm of clot strength from R), angle (α, reflective of the velocity of clot strength generation), FCS (a measure of fibrin clot strength measured in the presence of tissue factor and a glycoprotein IIb/IIIa inhibitor to isolate the contribution of fibrinogen during clot generation) and functional fibrinogen levels (FLEV, a measurement extrapolated from the FCS) [15].

Standard COVID-19 biomarkers

Standard COVID-19 biomarkers were analyzed in the central pathology laboratory at the Sinai Hospital of Baltimore. C-reactive protein (CRP) and ferritin were measured using Siemens Advia Chemistry XPT systems (Siemens Medical Solutions USA, Inc. Malvern, PA, USA). Procalcitonin was measured using Abbott ARCHITECT B.R.A.H.M.S PCT assay (Abbott, Abbott Parks, IL, USA). Complete blood cell analysis was performed using Sysmex XN-1000™ Hematology Analyzer (Sysmex America Inc, Lincolnshire, IL, USA). Coagulation parameters were measured using STA Compact Max Analyzer (Diagnostica Stago, Inc., Parsippany, NJ, USA).

Urinary biomarkers

Urinary 11-dehydro-thromboxane B2 (u11-dh-TxB2) levels were determined using an enzyme-linked immune assay and microalbumin levels were determined using the Dimension clinical chemistry system and processed by Inflammatory Markers Laboratory (Wichita, KS) [16]. Urinary 8-hydroxy-2′-deoxyguanosine (8-OHdG) levels were measured by enzyme-linked immune assay at CEDx Labs (Nashua, NH, USA) and liver-type fatty acid binding protein (L-FABP) levels were determined using a rapid, point-of-care lateral flow immunoassay (Timewell Medical, Tokyo, Japan) whose results were quantified using a CHR-631 Rapid Test Reader (Kaiwood Technology Co., Ltd., Tainan City, Taiwan) [17, 18].

Sequential organ failure assessment

The SOFA score is based on PaO2, FiO2, presence or absence of mechanical ventilation, platelet number, Glasgow coma scale, bilirubin, mean arterial pressure or administration of vasoactive agents, and creatinine. (https://www.mdcalc.com/sequential-organ-failure-assessment-sofa-score). Patients were categorized as SOFA score ≥ 3 and < 3 for comparison of standard and thromboelastography makers. SOFA score is used to indicate the severity of organ dysfunction and poor clinical outcomes in patients with COVID-19 [19].

Clinical events

In-hospital events including all-cause death, pulmonary thromboembolism, type 1 myocardial infarction (MI), ischemic stroke, days in hospital and intubation requirement were collected.

Statistical analysis

Continuous values were shown as mean ± SD for normally distributed data and mean and confidence interval for not normally distributed data. The Shapiro‐Wilk test was used to determine the normality of data and the student T test was used to compare the groups. Categorical variables were shown as counts and percentages. The chi‐squared test was used to determine whether there was a significant difference in frequencies between groups and outcomes. Multiple regression analysis was performed to identify independent variables such as glucose, body mass index (BMI), DM, age, creatinine, use of metformin, steroids, aspirin and insulin associated with duration of hospitalization, death and rate of mechanical ventilation (intubation). p < 0.05 was considered a significant difference between groups. (MedCalc Software Ltd, Ostend, Belgium).

Results

The majority of patients were African American (African Americans with DM ~ 70%, without DM 59%). Compared to the DM group, the group without DM had less hypertension and hyperlipidemia. DM patients not on metformin compared to patients on metformin had a higher frequency of renal disease (p = 0.01) and a higher SOFA score (p = 0.002) (Table 1).
Table 1

Demographics

DMNo DM (n = 73)p value
Metformin (n = 34)No Metformin (n = 41)Metformin vs. no metforminMetformin vs. no DMNo metformin vs. No DM
Age (years)60 ± 1867 ± 1455 ± 190.060.200.0006
Male, n (%)20 (59)20 (49)48 (66)0.390.490.08
Race, n (%)
 African American24 (71)30 (73)43 (59)0.850.230.14
 Hispanic5 (15)5 (12)8 (11)0.710.560.87
 Caucasian4 (12)4 (10)22 (30)0.780.040.02
 Asian1 (3)2 (5)0 (0)0.670.140.055
Body mass index (kg/m2)35.1 ± 11.632.1 ± 8.034.1 ± 11.80.190.680.34
Co-morbidities
 Hypertension, n (%)28 (82)37 (90)43 (60)0.320.020.0008
 Hyperlipidaemia, n (%)17 (50)25 (61)24 (33)0.340.090.004
 Obesity, n (%)21 (64)19 (46)40 (56)0.120.440.31
 Cardiovascular disease, n (%)10 (29)12 (29)10 (14)1.000.070.053
 Respiratory disease, n (%)7 (21)14 (34)19 (26)0.220.580.37
 Neurological disease/mental illness6 (18)12 (29)19 (26)0.270.370.73
 Renal disease, n (%)2 (6)12 (29)6 (8)0.010.710.003
 Liver disease, n (%)2 (6)4 (10)2 (3)0.530.460.12
 Cancer, n (%)1 (3)3 (7)6 (8)0.440.330.85
Sequential organ failure assessment score2.0 ± 1.54.2 ± 3.73.0 ± 3.00.0020.070.06
Demographics There were no significant differences in medications between DM patients on metformin and metformin naïve patients, except proton pump inhibitor/H2 blocker use was higher in patients on metformin (p = 0.03) (Table 2). Among laboratory measurements, white blood cell counts were higher in DM patients not on metformin treatment compared to patients on metformin (p = 0.02) (Table 3).
Table 2

Medications

DMNo DM (n = 73)p value
Metformin (n = 34)No metformin (n = 41)Metformin vs. no metforminMetformin vs. no DMNo metformin vs. No DM
Antiviral medications, n (%)
 Remdesivir10 (29)12 (29)21 (29)1.001.001.00
 Hydroxychloroquine2 (6)4 (10)5 (7)0.530.850.57
 Convalescent plasma8 (24)16 (39)21 (29)0.170.590.28
Antithrombotic medications, n (%)
 None3 (9)4 (10)7 (10)0.880.871.00
 Enoxaparin prophylaxis18 (53)13 (32)40 (55)0.070.850.02
 Heparin prophylaxis7 (21)9 (22)13 (18)0.920.710.61
 Therapeutic anticoagulation4 (12)11 (27)9 (12)0.111.000.04
 Direct oral anticoagulant2 (6)4 (10)4 (5)0.530.830.31
Aspirin14 (41)14 (34)16 (22)0.540.040.16
Antibiotic medications, n (%)
 Ceftriaxone15 (44)16 (39)37 (51)0.660.500.22
 Azithromycin16 (47)12 (29)36 (49)0.110.850.04
 Vancomycin6 (18)6 (15)7 (10)0.730.250.43
Steroids25 (74)30 (73)48 (66)0.920.410.44
Statins13 (38)21 (51)18 (25)0.260.170.005
Proton pump inhibitors/H2 blockers10 (29)22 (54)24 (33)0.030.680.03

Therapeutic anticoagulation = full dose heparin administration

Direct oral anticoagulant = apixaban

Table 3

Laboratory measurements

DMNo DM (n = 73)p-value
Metformin (n = 34No Metformin(n = 41)Metformin vs. no metforminMetformin vs. no DMNo metformin vs. No DM
Creatinine (mg/dL)1.1 ± 0.81.9 ± 3.61.1 ± 1.80.211.000.12
Glucose (mg/dL)198 ± 82190 ± 85121 ± 620.68< 0.0001 < 0.0001
Aspartate transaminase (u/L)49 ± 3164 ± 6264 ± 880.200.341.00
Alanine transaminase (u/L)49 ± 6161 ± 6855 ± 630.430.640.64
Alkaline phosphatase (u/L)98 ± 8893 ± 4971 ± 260.760.020.002
Lactate dehydrogenase (U/L)382 ± 108439 ± 229445 ± 3570.190.320.92
Prothrombin time (secs)14.6 ± 3.314.0 ± 3.114.9 ± 2.80.420.630.12
Total bilirubin (mg/dL)0.56 ± 0.210.65 ± 0.640.61 ± 0.380.440.480.68
Albumin (g/dL)3.7 ± 0.73.6 ± 0.73.9 ± 0.50.540.090.009
Platelet (× 1000/mm3)262 ± 85287 ± 154257 ± 1280.400.840.27
White blood cells (K/mm3)8.6 ± 3.810.7 ± 3.88.4 ± 5.00.020.840.012
Haematocrit (%)37 ± 637 ± 738 ± 61.000.420.42
Neutrophil/leukocyte ratio9.3 ± 10.710.7 ± 9.28.3 ± 7.40.540.580.13
Hemoglobin (g/dL)11.9 ± 2.111.7 ± 2.312.1 ± 2.30.700.670.37
HaemoglobinA1c8.7 ± 2.38.5 ± 1.95.8 ± 0.80.68 < 0.001< 0.001
Medications Therapeutic anticoagulation = full dose heparin administration Direct oral anticoagulant = apixaban Laboratory measurements There were no significant differences between thromboelastography indices in DM patients on and not on metformin (Table 4). Patients without DM compared to patients with DM had lower levels of platelet–fibrin clot strength (p ≤ 0.04), functional fibrinogen (p ≤ 0.01) and fibrin clot strength (p ≤ 0.02), whereas reaction time was shorter in DM patients not on metformin compared to patients without DM (p = 0.02).
Table 4

Thromboelastography measurements and standard biomarkers of COVID-19

DMNo DM (n = 73)p value
Metformin (n = 34)No metformin (n = 41)Metformin vs. no metforminMetformin vs. no DMNo metformin vs. No DM
Thromboelastography measurements
 Reaction time (minutes)6.3 ± 2.15.6 ± 1.66.4 ± 1.90.110.810.02
 Fibrin clot strength (mm)43.5 ± 11.443.1 ± 12.437.2 ± 13.10.890.020.02
 Functional Fibrinogen level (mg/dL)791 ± 206802 ± 215674 ± 2260.820.010.004
 Platelet–fibrin clot strength (mm)68.6 ± 4.969.6 ± 4.166.1 ± 6.30.340.040.002
 Clot lysis (%)0.4 ± 0.50.5 ± 0.90.9 ± 1.30.570.030.08
Standard markers
 D-dimer (mg/L, FEU)1.8 ± 2.13.6 ± 4.52.2 ± 3.40.040.530.06
 C-reactive protein (mg/L)115 ± 10086 ± 8999 ± 760.190.360.41
 Ferritin (ng/mL)672 ± 491788 ± 575988 ± 19840.360.360.53
 Procalcitonin (ng/mL)0.7 ± 2.13.2 ± 12.01.3 ± 4.20.230.430.22
 Creatinine (mg/dL)1.1 ± 0.81.9 ± 3.61.1 ± 1.80.211.000.12
Thromboelastography measurements and standard biomarkers of COVID-19 There were no significant differences in C-reactive protein, ferritin, procalcitonin and creatinine between the three groups. D-dimer levels were lower in DM patients on metformin compared to metformin naïve patients (p = 0.04) and were similar between DM patients on metformin and patients without DM (Table 4). Compared to DM patients on metformin, urinary L-FABP levels were higher in metformin naïve patients (p = 0.03) and patients without DM (p = 0.03) (Fig. 1a). U11-dh-TxB2 levels were higher in metformin naïve patients compared to DM patients on metformin (p = 0.01) (Fig. 1b). 8-OHdG levels were numerically lower in DM patients on metformin compared to patients not on metformin and patients without DM (Fig. 1c).
Fig. 1

Urinary biomarkers. a Urinary L-fatty acid binding protein. b Urinary 11-dehydro-thromboxane B2. c Urinary 8-hydroxy-2′-deoxyguanosine

Urinary biomarkers. a Urinary L-fatty acid binding protein. b Urinary 11-dehydro-thromboxane B2. c Urinary 8-hydroxy-2′-deoxyguanosine

Clinical outcomes

Compared to metformin naïve patients, patients on metformin had a lower rate of intubation (p = 0.03) and fewer days in hospital (p = 0.13), lower in-hospital mortality (p = 0.12) and lower in-hospital mortality plus nonfatal thrombotic event occurrences (p = 0.10) (Table 5).
Table 5

Clinical outcomes

DMNo DM (n = 73)p value
Metformin (n = 34)No Metformin (n = 41)Metformin vs. no metforminMetformin vs. no DMNo metformin vs. No DM
Days in hospital11.6 ± 14.417.5 ± 19.78.7 ± 4.80.130.120.001
Intubation required (%)5.824.4150.030.170.21
In-hospital mortality (%)8.822110.120.120.12
In-hospital mortality plus nonfatal thrombotic events (%)11.726.815.10.100.640.13

Non-fatal thrombotic events include type 1 myocardial infarction, ischemic stroke, pulmonary embolism

Clinical outcomes Non-fatal thrombotic events include type 1 myocardial infarction, ischemic stroke, pulmonary embolism Multiple regression analysis revealed that days in hospital was positively associated with DM (Odds Ratio(OR) [95% confidence interval 9.5 [3.5 to 15.4] p < 0.01) and negatively associated with metformin use (OR [95% CI] − 7.4[− 1.7 to 13.1], (p < 0.01)); death was associated with age OR [95% CI] 0.005(0.002 to 0.008], p < 0.010; intubation rate was associated with metformin use (OR [95% CI] − 0.2[− 0.04 to − 0.36], p = 0.01) (Fig. 2).
Fig. 2

Multiple regression analysis demonstrating factors associate with days in hospital, death, and intubation rate

Multiple regression analysis demonstrating factors associate with days in hospital, death, and intubation rate

Discussion

To the best of our knowledge, this observational study is the first to explore the relationship between the known biomarkers associated with inflammation associated with COVID-19 infection and clinical outcomes in COVID-19 patients with DM treated with and without metformin. In our study, metformin treatment was associated with (a) significantly lower d-dimer, urinary L-FABP, and urinary 11-dh-TxB2 levels, (b) less disease severity with fewer days in hospital, and a (c) lower rate of intubation, in-hospital death and a composite of in-hospital death plus nonfatal thrombotic event occurrences. SARS-CoV-1 virus can bind to the pancreatic islet ACE2 receptor causing acute islet cell damage and new onset DM [20]. The presence of preexisting or new onset DM further worsens the outcomes of COVID-19, since both diseases are associated with hypercoagulability, inflammation, oxidative stress, elevated platelet reactivity, resistance to fibrinolysis, and endothelial dysfunction. It has been shown that COVID-19 patients with DM had nearly two times more death and disease severity compared to patients without DM [21]. Similarly, an association between hyperglycemia and increased COVID-19 related mortality has been reported in patients with type 2 DM [22, 23]. Therefore, glucose-lowering agents are a major treatment strategy in addition to standard COVID-19 medications in patients with DM. Metformin therapy is currently being compared to placebo in COVID-19 patients in the ongoing METCOVID trial (NCT04510194). The significant mortality benefit associated with metformin may be due to its noncanonical effects in addition to its glucose lowering effect. Metformin has been shown to have complex mechanism of action, which in part exerts anti-viral and anti-inflammatory affects [10, 24]. In the canonical pathway, metformin blocks complex-1 of the respiratory chain in mitochondria in hepatocytes, suppresses adenosine triphosphate (ATP) production, and increases cytoplasmic adenosine monophosphate (AMP)-ATP ratio leading to the activation of AMP-activated protein kinase (AMPK). The AMPK phosphorylates the acetyl-CoA carboxylase that enhances insulin sensitivity and peripheral uptake of glucose and glucose consumption [25]. Metformin treatment has been shown to be associated with a 42% decrease in DM-related death and a 36% decrease in all cause death [26]. With respect to noncanonical pathways, in vitro studies of endothelial cells have shown that metformin enhances nitric oxide production by activating the AMPK pathway and inhibits the activation of the NF-κB pathway and generation of inflammatory cytokines [27]. Thus, metformin appears to reduce the inflammatory response through inhibition of the NF-κB pathway in patients with COVID-19. However, thus far, evidence for metformin-induced attenuation of inflammatory response or tissue damage as indicated by laboratory measures and its link to clinical outcomes in patients with COVID-19 is limited. A  randomized study demonstrated that metformin is associated with reduced levels of inflammatory markers including tumor necrosis factor α (TNFα), interleukin-6 (IL-6) and monocyte chemoattractant protein-1 (MCP-1) [28]. In a retrospective study, metformin treated patients with COVID-19 had decreased level of IL-6, but its relation to clinical outcomes were not reported [29]. In the current study, our data suggest that metformin therapy is associated with a significant decrease in D-dimer levels in patients with COVID-19 and DM. An association between high D-dimer levels and poor COVID-19 prognosis and elevated mortality is well established. However, we were not able to show the same relation with thromboelastography measurements and other standard biomarkers of COVID-19. The latter may be due to the lower number of patients enrolled in this observational study. The SOFA score, an indicator of the severity of illness was significantly lower in DM patients treated with metformin prior to hospitalization. The percentage of patients with renal disease were significantly lower in DM patients treated with metformin and were similar in COVID-19 patients without DM. This may be mainly due to metformin being contraindicated in patients with renal insufficiency. There were no other significant differences in demographics and co-morbidities amongst patients with DM treated with and without metformin. L-FABP, a carrier protein involved in the intracellular transport of free fatty acids, is expressed in the proximal renal tubules and is excreted in urine following tubular damage [30, 31]. It has been reported that urinary L-FABP levels increase before serum creatinine in patients with acute kidney injury and may predict the severity of COVID-19 at an early stage [32]. U11-dh TxB2 is a marker of platelet activation and whole-body inflammation. Thromboxane A2 biosynthesis is contributed by platelets, leukocytes, and endothelial cell sources [33]. The independent relation of u11-dh TxB2 to adverse outcomes in patients with cardiovascular disease and diabetes treated with aspirin has been demonstrated in major clinical trials [34-36]. Urinary 8-OHdG is one of the most widely studied biomarker of oxidative stress-induced deoxyribonucleic acid damage [37]. It has been shown to be associated with cardiovascular disease and endothelial dysfunction in patients with diabetes [37-40]. In our study, urinary L-FABP and 11-dh-TxB2 were significantly lower in metformin-treated patients and we also observed lower levels of 8-OHdG in metformin-treated patients. Finally, metformin treatment in COVID-19 patients was independently associated with a lower rate of intubation requirement and shorter hospital stay. Most of our findings resonate findings from other observational retrospective studies highlighting improved COVID-19 disease outcomes in patients on metformin [7, 10, 24, 28, 29, 41–44]. The main limitation of this study is the limited number of patients enrolled affecting the power to detect differences between groups. Hence, the findings from this observational sub-analysis are hypothesis generating and these effects of metformin should be explored in future translational research studies. In conclusion, metformin therapy in patients with COVID-19 and DM was associated with lower D-dimer, L-FABP and 11-dh-TxB2 levels, and lower rate of intubation. Shorter hospital stay, and non-significantly lower rates of in-hospital death and in-hospital death plus thrombotic event occurrences were also notable. In a multiple regression analysis, metformin use was associated with a lower rate of intubation requirement, and shorter hospital stay.
  43 in total

Review 1.  Aspirin resistance.

Authors:  Udaya S Tantry; Elisabeth Mahla; Paul A Gurbel
Journal:  Prog Cardiovasc Dis       Date:  2009 Sep-Oct       Impact factor: 8.194

2.  Combination of two urinary biomarkers predicts acute kidney injury after adult cardiac surgery.

Authors:  Daisuke Katagiri; Kent Doi; Kenjiro Honda; Kousuke Negishi; Toshiro Fujita; Motoyuki Hisagi; Minoru Ono; Takehiro Matsubara; Naoki Yahagi; Masao Iwagami; Takayasu Ohtake; Shuzo Kobayashi; Takeshi Sugaya; Eisei Noiri
Journal:  Ann Thorac Surg       Date:  2012-02       Impact factor: 4.330

3.  Aspirin-resistant thromboxane biosynthesis and the risk of myocardial infarction, stroke, or cardiovascular death in patients at high risk for cardiovascular events.

Authors:  John W Eikelboom; Jack Hirsh; Jeffrey I Weitz; Marilyn Johnston; Qilong Yi; Salim Yusuf
Journal:  Circulation       Date:  2002-04-09       Impact factor: 29.690

Review 4.  COVID-19 in people with diabetes: understanding the reasons for worse outcomes.

Authors:  Matteo Apicella; Maria Cristina Campopiano; Michele Mantuano; Laura Mazoni; Alberto Coppelli; Stefano Del Prato
Journal:  Lancet Diabetes Endocrinol       Date:  2020-07-17       Impact factor: 32.069

5.  Urinary Liver-type Fatty Acid-Binding Protein Predicts Residual Renal Function Decline in Peritoneal Dialysis Patients.

Authors:  Kenta Torigoe; Kumiko Muta; Kiyokazu Tsuji; Ayuko Yamashita; Yuki Ota; Mineaki Kitamura; Hiroshi Mukae; Tomoya Nishino
Journal:  Med Sci Monit       Date:  2020-12-21

6.  Metformin use is associated with a reduced risk of mortality in patients with diabetes hospitalised for COVID-19.

Authors:  Jean-Daniel Lalau; Abdallah Al-Salameh; Samy Hadjadj; Thomas Goronflot; Nicolas Wiernsperger; Matthieu Pichelin; Ingrid Allix; Coralie Amadou; Olivier Bourron; Thierry Duriez; Jean-François Gautier; Anne Dutour; Céline Gonfroy; Didier Gouet; Michael Joubert; Ingrid Julier; Etienne Larger; Lucien Marchand; Michel Marre; Laurent Meyer; Frédérique Olivier; Gaëtan Prevost; Pascale Quiniou; Christelle Raffaitin-Cardin; Ronan Roussel; Pierre-Jean Saulnier; Dominique Seret-Begue; Charles Thivolet; Camille Vatier; Rachel Desailloud; Matthieu Wargny; Pierre Gourdy; Bertrand Cariou
Journal:  Diabetes Metab       Date:  2020-12-10       Impact factor: 6.041

7.  Metformin Use Is Associated With Reduced Mortality in a Diverse Population With COVID-19 and Diabetes.

Authors:  Andrew B Crouse; Tiffany Grimes; Peng Li; Matthew Might; Fernando Ovalle; Anath Shalev
Journal:  Front Endocrinol (Lausanne)       Date:  2021-01-13       Impact factor: 5.555

Review 8.  Therapeutic Potential of Metformin in COVID-19: Reasoning for Its Protective Role.

Authors:  Samson Mathews Samuel; Elizabeth Varghese; Dietrich Büsselberg
Journal:  Trends Microbiol       Date:  2021-03-14       Impact factor: 17.079

Review 9.  Metformin and COVID-19: From cellular mechanisms to reduced mortality.

Authors:  A J Scheen
Journal:  Diabetes Metab       Date:  2020-08-01       Impact factor: 6.041

10.  Binding of SARS coronavirus to its receptor damages islets and causes acute diabetes.

Authors:  Jin-Kui Yang; Shan-Shan Lin; Xiu-Juan Ji; Li-Min Guo
Journal:  Acta Diabetol       Date:  2009-03-31       Impact factor: 4.280

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1.  Metformin therapy in COVID-19: inhibition of NETosis.

Authors:  Chia Siang Kow; Dinesh Sangarran Ramachandram; Syed Shahzad Hasan
Journal:  J Thromb Thrombolysis       Date:  2022-06-02       Impact factor: 5.221

2.  Preadmission use of antidiabetic medications and mortality among patients with COVID-19 having type 2 diabetes: A meta-analysis.

Authors:  Nam Nhat Nguyen; Dung Si Ho; Hung Song Nguyen; Dang Khanh Ngan Ho; Hung-Yuan Li; Chia-Yuan Lin; Hsiao-Yean Chiu; Yang-Ching Chen
Journal:  Metabolism       Date:  2022-03-31       Impact factor: 13.934

Review 3.  Increased susceptibility to pneumonia due to tumour necrosis factor inhibition and prospective immune system rescue via immunotherapy.

Authors:  Ryan Ha; Yoav Keynan; Zulma Vanessa Rueda
Journal:  Front Cell Infect Microbiol       Date:  2022-09-07       Impact factor: 6.073

  3 in total

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