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International Journal of Diabetes & Metabolic Disorders(IJDMD)

ISSN: 2475-5451 | DOI: 10.33140/IJDMD

Impact Factor: 1.23

Research Article - (2024) Volume 9, Issue 1

The Ability of Combination Sulfonylurea and Metformin in Reducing Morbidity and Mortality in Type 2 Diabetes

Katie Fletcher , Andrew Meal and Gary G. Adams *
 
Faculty of Medicine and Health Sciences, School of Health Sciences, University of Nottingham, Clifton Boulevard, Nottingham, United Kingdom
 
*Corresponding Author: Gary G. Adams, Faculty of Medicine and Health Sciences, School of Health Sciences, United Kingdom

Received Date: Apr 12, 2024 / Accepted Date: May 13, 2024 / Published Date: May 16, 2024

Copyright: ©© 2024 Gary G. Adams, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation: Fletcher, K., Meal, A., Adams, G. G. (2024). The Ability of Combination Sulfonylurea and Metformin in Reducing Morbidity and Mortality in Type 2 Diabetes. Int J Diabetes Metab Disord, 9(1), 01-10.

Abstract

Background Literature: Type 2 diabetes is a health concern worldwide, and treatment with oral antidiabetic medicines presents a clinical challenge. This systematic review aims to assess the ability of combination sulfonylurea and metformin in reducing morbidity and mortality in type 2 diabetes.

Methods A search of the databases NU Search, PubMed, Ovid, Embase, CINAHL and Medline was conducted by the author, using key search terms. 11 studies were included, 6 RCT’s, and 5 cohort studies with a combined number of 168,138 participants.

Results Cardiovascular risk: Atherosclerotic Cardiovascular Disease (ASCVD) risk score DPP4i and metformin: -1.5 versus -1.1 for SU and metformin. Six studies found no difference for MI, CVD, stroke across groups for SU, DPP4i, or SGLT2i. DPP4i combination was superior, with better protective effects than SU combined for, Heart failure (HF) HR 0.86 DPP4i versus 1.0 SU, Cerebrovascular disease HR 0.72 versus 1.0 Myocardial Infarction (MI), DPP4i= 340, HR 1.0, versus SU =402, HR 0.84. HbA1c reductions across groups: SU -1.59, DPP4i -2.43 versus -2.91 with SGLT2i. More rapid reduction with SU and metformin versus SGLT2i and DPP4i from 0- week 18. Weight changes across groups: weight gain with SU 5.72kg, versus – 4.27kg for DPP4i and – 20.7kg for SGLT2i.

Conclusion Cardiovascular risk was inconclusive. SU’s were shown to be associated with a rapid reduction of HbA1c and weight gain. More robust research is needed to examine further combination oral antidiabetic treatments and cardiovascular risk, as a high level of heterogeneity (I2 ) and bias between the studies existed.

Introduction

The World Health Organisation (WHO) (2022) estimated that between 1980 to 2014, the prevalence of diabetes increased from 108 million to 422 million worldwide. Diabetes takes many different forms, such as type 1, type 2, gestational, type 3, Maturity Onset Diabetes of the Young (MODY), and Latent Autoimmune Diabetes in Adults (LADA) (Diabetes UK, 2019). Type 2 diabetes accounts for around 85% of the diabetic population, making it the most prevalent type [1]. During normal physiological conditions, blood glucose level is maintained and regulated by the islets of Langerhans located in the pancreas; insulin is secreted in response to elevated glycaemic levels and facilitates the transfer of glucose into muscle and fat cells for energy utilisation [1].

Under abnormal conditions in type 2 diabetes, however, the pancreas fails to produce sufficient insulin, or the insulin produced is deficient. This progressive autoimmune disease is linked to genetic causes, obesity and/or poor diet [2]. Metformin, a common treatment for type 2 diabetes, is part of the biguanide class of medicines and functions in reducing hepatic glucose output by suppressing gluconeogenesis. In contrast, sulfonylureas act by stimulating the pancreatic beta cells to increase the amount of insulin released and efficiency [3]. Here, the authors examined if combinatorial Sulfonylurea and Metformin therapy had the ability to reduce morbidity and mortality in Type 2 Diabetes. 

Methodology

A comprehensive search of the databases NU Search, PubMed, Ovid, Embase, CINAHL and Medline was undertaken to identify studies for inclusion. The inclusion criteria were patients with type 2 diabetes, aged >18, taking metformin and/or sulfonylureas, assessing the safety and efficacy of combination therapy. The exclusion criteria were participants with other types of diabetes, patients aged <18, and patients taking insulin or other subcutaneous injection anti-diabetes medications. The following key search terms were entered into the selected online databases: type 2 diabetes + oral + metformin + sulfonylurea + adults + morbidity + mortality.

The search returned a total of 1057 studies. After reviewing each study manually, and assessing against inclusion and exclusion criteria, 1045 studies were excluded. A total of 11 studies met the inclusion criteria and were included in this review. A Critical Appraisal Skills Programme (CASP, 2020) was utilised for data extraction and assess the risk of bias. Each study was read, synthesized and the main outcomes described.

Results and Discussion

Theme one - Cardiovascular risk

Cardiovascular risk and diabetes have a well-documented association, and Diabetes UK (2019) states that the risk is increased by 2 and a half times for stroke or heart attack, which highlights the importance of reducing the risk. Ten of the eleven studies by Gillani et al. (2022), Wang, Wua, and Chiena, (2021), Douros et al. (2018), Chang et al. (2015), Leiter et al. (2015), Nauck et al. (2014), Del Prato et al. (2014), Hassan and Abd-Allah (2015), Pantalone et al. (2012), and Nauck et al. (2011) reported cardiovascular risk/mortality for 166,767 participants [4 -13]

Dpp4i Versus Sulfonylurea and Metformin

Of the ten studies, two of the studies by Gillani et al. (2022) and Wang et al. (2021) revealed that combination metformin and DPP4i versus SU and metformin, concurred that DPP4i combination had better cardioprotective effects [4,5]. Assessed Atherosclerotic Cardiovascular Disease (ASCVD) risk and identified a significant mean reduction -1.1 % from baseline for sulfonylureas plus metformin combined, and DPP4i and metformin – 1.56%. SU and DPP4i were both found to reduce ASCVD risk score, however DPP4i’s were superior. The study also found gliclazide exhibited an enhanced cardiovascular profile to glimepiride. The results of Wang et al. (2021) found that DPP4i combination was superior, with better protective effects than SU combined for, Heart failure (HF) HR 0.86 DPP4i versus 1.0 SU, Cerebrovascular disease HR 0.72 versus 1.0 Myocardial Infarction (MI), DPP4i= 340, HR 1.0, versus SU =402, HR 0.84 [5].

Metformin and Sulfonylurea Combinations

Of the ten studies, two by Hassan and Abd-Allah (2015) and Pantalone et al [11,12]. Assessed different combinations of SU and metformin. Assessed lipid profiles, and found Low density lipoprotein (LDL) improved from baseline, but suggested greater reduction of cardiovascular risk with glimepiride and metformin 142+7, versus gliclazide and metformin 146+7. Pantalone et al. (2012) found no significant difference in mortality across groups with metformin plus, glimepiride, versus metformin and glipizide HR 1.03, or metformin plus glimepiride HR 1.03 or glipizide and metformin versus metformin plus glibenclamide, HR 1.05. there were 636 deaths in the cohort [12].

Sulfonylurea and Metformin Versus SGLT2i

Leiter et al. (2015) assessed high density lipoprotein (HDL) and was found to be reduced in patients that received metformin and sulfonylurea combination 0.06 versus SGLT2i 0.38, however this was not statistically significant. Nauck et al. (2011), also reported results concomitant with Leiter et al. (2015) that HDL was increased in the SGLT2i group and reduced in the SU group. The 156-week extension study Nauck et al. (2014) did not report outcomes HDL. The extension study by Nauck et al. (2014) reported the additional cardiac outcomes, coronary artery occlusion (CAO) and aortic aneurysm (AA) but no differences were identified across groups [8,13]

Sulfonylurea and Metformin Vs Glinides and A- Glucosidase

Chang et al. (2015) identified that the metformin and glinides, N=9 or alpha glucosidase inhibitor N=13, Versus N=323 in SU and metformin group. significantly reduced the risk of MI, but showed no variance in risk of stroke or HF.

Sulfonylureas and Metformin Versus Sglt2i, Dpp4i And Su Combinations

Six of the ten studies by Douros (2018), Chang et al. (2015), Del Prato et al. (2014), Nauck et al. (2014), Pantalone et al. (2012) and Nauck et al. (2011) found no substantial difference between the study groups for cardiovascular risk of different events, including cardiovascular death, MI, CVD, stroke and heart failure, between combination SU with metformin, versus SGLT2i, DPP4i, and SU combinations. Though it would be important to note Nauck et al. (2011) suggested that persistent reduction in systolic blood pressure and weight with SGLT2i may exert a favourable effect on cardiovascular risk, but not a significant finding [6,7,9, 10,12,13].

After reviewing the results from all ten studies assessing cardiovascular risk and mortality, the studies confirm that combination metformin and sulfonylurea reduced cardiovascular risk to a degree, and some SU’s might be associated with a further reduced risk than others. However, the evidence is not strong enough to form a sound conclusion on the different types of SU. When comparing the performance of metformin and sulfonylureas to other anti-diabetic medicines, the results were inconclusive. Six out of ten, did not show a meaningful reduction of cardiovascular risk. More robust research is needed to further investigate this points out that SGLT2i combination with metformin may provide beneficial cardioprotective effects, which is supported by the current guidance by the National Institute for health and Care Excellence (2015) which advocates the use of SGLT2i for patients with cardiovascular risk or existing cardiac disease, rather than SU which is in keeping with the findings from the studies included in this review [4,5,11]. conducted their studies in settings that were vastly different, Malaysia, Egypt and Taiwan which limits the generalisations that can be made from this research. Two of the studies by Gillani et al. (2022) and Wang et.al. (2021) indicated enhanced cardioprotective effects of DPP4i in comparison to SU, however both had risk of bias. Gillani et al. (2022) may have introduced selection bias, as participants self-referred or were recommended by study sites [2,5]. Wang et al. (2021) had a large sample size which increases the validity. However, the retrospective cohort study design, reduces the strength of the results [5]. Additionally, the information was taken from an insurance database where there was potential for data to be missing. In the initial study by Nauck et al. (2011) HDL was reported as increased with the SGLT2i group and reduced in the SU groups [13]. The extension study Nauck et al. (2014), did not report outcomes for HDL, this could indicate reporting bias [14].

Theme Two - HbA1c Reduction

The second theme emerging from the results was HbA1C levels. Chen et al. (2015) explained that macrovascular complications in diabetes are associated with poor control of HbA1c and is linked to the pathophysiology of vascular damage.

Eight of the eleven studies by Gillani et al. (2022), Muskiet et al. (2020), Hollander et al. (2017) Hassan and Abd-Allah (2015), Leiter et al. (2015), Del Prato et al. (2014), Nauck et al. (2014) Nauck et al. (2011) assessed outcome for HbA1c levels in 8925 participants.

Sulfonylurea and Metformin Versus Dpp4i and Metformin

Two of the eight studies by Gillani et al. (2022) and Del Prato et al. (2014) found whilst HbA1c was improved with SU’s and metformin 7.93 +1.69, there was a greater improvement with DPP4i 7.86 + 1.92 at end point [2,10]. Gillani et al. (2022) and Del Prato et al. (2014) found that HBA1c was reduced with SU’s but noted a greater reduction with DPP4i and metformin over 24 and 104 weeks. 6.73 -2.65 metformin and SU, versus 6.22- 2.07 with metformin and DPP4i, a 0.72% mean change for DDP4i, versus 0.59%, for metformin and SU respectively.

One of the eight studies by Muskiet et al. (2020) found similar reductions for DPP4i linagliptin and SU glimepiride across both groups - 0.10% and -0.09% respectively from baseline to endpoint assessment after 8 weeks.

Sulfonylurea and Metformin Versus Sglt2i and Metformin

Four of the Eight studies Hollander et al. (2017), Leiter et al. (2015) Nauck et al and Nauck et al. (2011), assessed SGLT2i’s. Two of which, by Hollander et al. (2017) and Leiter et al. (2015) concurred that there was a sharp fall in HbA1c with SU at 6 -18 weeks. Both SGLT2i’s, ertugliflozin and canagliflozin, demonstrated an advantage in results over SU’s. Hollander et al. (2017) showed a reduction of -1.2 for ertugliflozin and metformin, versus -0.7 glimepiride and metformin. The results for Leiter et al. (2015) showed a reduction of -1.39 SGLT2i and metformin, versus metformin and SU -0.55. Both trials established non-inferiority between SGLT2i and SU [14,8].

Nauck et al. (2011) and Nauck et al. (2014) assessed SU versus SGLT2i, and found that glipizide had an earlier reduction in HbA1c in from baseline to week 18. At week 52, Nauck et al. (2011) found no difference between the groups. SU -0.52%, and SGLT2i -0.52%. However, at 104 weeks dapagliflozin showed a greater and sustained reduction in HbA1c, with a reduction of -0.32 for metformin and SGLT2i, and -0.14 for SU and metformin [13,9].

Different Combinations of Sulfonylurea with Metformin

Hassan and Abd-Allah (2015) compared different combinations of SU with metformin and found that glimepiride performed superior to gliclazide at 3months in reducing HbA1c. The results were Glimepiride and metformin 7±0.1, compared to 7.1±0 for Gliclazide and metformin [11].

The results here indicated a consensus towards sulfonylureas being effective in reducing HbA1c. All eight recorded a significant reduction from baseline.

A combined loss of -1.59 for SU and metformin, versus DPP4i and metformin -2.43 versus -2.91 for SGLT2i and metformin. However, four of the eight studies and the extension study by Nauck et al. (2011) found that HbA1c had a more rapid reduction in the early stages of the studies with SU and metformin. However, SGLT2i’s had a longer sustained lowering than SU at endpoint. Chen and Li (2019) also supported this finding in their systematic review, as SGLT2i’s were shown to be more effective over longer periods of time than SU’s and have similar effects in the short term [8,9,13-15].

Similar to SGLT2i, DPP4i also demonstrated better efficacy long term in comparison to SU. A review conducted by Deacon and Lebovitz (2016), also supports this finding. Current guidance from National Institute for Health and Care Excellence (NICE) (2022) recommends the use of SU’s as rescue therapy, and advise to review the treatment, once glucose levels are under control. This correlates with its ability to rapidly reduce HbA1c in the studies above. The evidence confirms the efficacy of sulfonylurea in reducing HbA1c but suggest DPP4i and SGLT2i are an effective alternative treatment to SU [16]. Although eight of the 11 studies agreed that SU’s reduce HbA1c, there were some limitations in their design. Of the eight, seven studies Muskiet et al. (2020), Hollander et al. (2017) Hassan and Abd-Allah (2015, Leiter et al. (2015), Del Prato et al. (2014), Nauck et al. (2014) and Nauck et al. (2011) used a randomised control trial design (RCT). One study by Gillani et al. (2022) used a cohort study design. Using a Robust RCT design, enhances the validity of the results by providing a rigorous tool to test relationships between intervention, the design reduces the play of external factors influencing the outcome [4,9,11,10,13,14,18].

Muskiet et al. (2020) and Hassan and Abd-Allah (2015) used small sample sizes N=46 and N=180 respectively. Both studies also used short study periods, Muskiet et al. (2020) only eight weeks, and Abd-Allah (2015) assessed outcome at 3 months. Additionally, the sample only included males, meaning that the sample was not representative, which limits the generalisations that can be made from the results. Larger sample sizes and longer study periods could have been utilised to increase the validity and reliability [11,17]. The study by Gillani et al. (2022) may have introduced bias, as there was no mention of dosage of each medication used. Potentially, the interventions may have been different which could have introduced performance bias. Additionally, confounders may have had a role to play, as compliance with trial medication may have affected the results [4].

Theme Three - Changes in Body Weight

Of the eleven studies, seven by Gillani et al. (2022), Muskiet et al. (2020), Hollander et al [4,14,17]. Assessed body mass/weight in 8,745 participants. All established that SU and metformin combination was associated with weight gain [8,9,10,13].

Metformin and Su Combination

All seven studies established that SU and metformin combination was associated with weight gain. Gillani et al. (2022) found an increase of + 0.87kg, Muskiet et al. (2020) +0.8 increase with glimepiride, Hollander et al. (2017) + 0.9kg with glipizide, Leiter et al. (2015) + 0.8kg with glimepiride, Del Prato et al. (2014) + 0.95 kg for glipizide, Nauck et al. (2014) and Nauck et al. (2011) found a 1.4kg increase glipizide. A combined weight gain of 5.72kg for SU and metformin [4,8,13,17].

Metformin and DPP4i

Of the seven studies, three compared SU and metformin to DPP4i. All 3 studies concurred that DPP4i was linked to weight loss. Gillani et al. (2022) found a -2.2kg weight loss with DPP4i, Muskiet et al. (2020) a 0.5kg weight loss with Linagliptin and Del Prato et al. (2014) -0.68 and -0.89 loss with Alogliptin. A combined weight loss of -4.27kg for DPP4i [4,17].

Metformin and SGLT2i

Four of the seven studies measuring weight/body mass, assessed the performance of SU’s and metformin against SGLT2i. Hollander et al. (2017) found in the two ertugliflozin groups, a loss of - 3.4kg and -3.0kg. Leiter et al. (2015) found a loss of 3.6kg and 3.6kg in both canagliflozin groups. Nauck et al. (2014) and Nauck et al. (2011) demonstrated a -3.4kg and -3.7kg at the end of the studies [14,8,9,13].

A combined loss of -20.7kg. Here, all seven studies agreed that SU’s are associated with weight gain, with a combined weight gain of over 5.72kg. In contrast, SGLT2i’ and DPP4i’s showed significant weight reduction versus SU, -20.7kg and 4.27kg respectively. Overall SGLT2i’s provided a greater weight reduction than DPP4i’s. The findings are parallel to those of a systematic review and meta-analysis by Storgaard et al. (2016). They concluded that SGLT2i’s had a greater weight loss when compared to DPP4i and Sulfonylurea. In their study, sulfonylurea was also shown to cause increased weight gain. Storgaard et al. (2016) suggests SGLT2’s is a safe and effective alternative to SU’s, and that the reduction in body weight, lipid profiles and systolic blood pressure identified from the findings, may have a positive impact on the reduction of cardiovascular risk [18].

Gillani et al. (2022), included only newly diabetic patients, this means patients with more advanced disease were excluded [4]. This limits the generalisations that could be made from the results and indicates potential selection bias. Including patients with different stages of the disease would have increased the representativeness of the sample. Hollander et al. (2017) and Del Prato et al. (2014) performed a power calculation, which was met, thus adding validity to the study. In contrast, Leiter et al. (2015) did not. A power calculation would ensure enough participants were enrolled to see a true effect [14,10,8].

Seven of the studies by Gillani et al. (2022), Muskiet et al. (2020), Hollander et al. (2017), Leiter et al. (2015), Del Prato et al. (2014), Nauck et al. (2014) and Nauck et al. (2011) did not monitor the participants calorie intake or diet which could have impacted the outcomes [4,17,14,8,10,9,13]. Nauck et al. (2014) Nauck et al. (2011) conducted the studies internationally, including 16 UK centres, making the results more applicable and increases generalisability [9,19].

Conclusion

Whilst metformin and sulfonylureas remain an effective second line treatment option for type 2 diabetes by reducing HbA1c levels. The review emphasized that SU’s are associated with weight gain, and cardiovascular risk remains unclear. SGLT2i’s are concomitant with a reduction in body weight, with a more sustained lowering of HbA1c over time and blood pressure lowering. SGLT2i’s are a safe and effective alternative to SU as they may provide cardiovascular protection. An individualised holistic assessment of patients should be carried out to determine the cardiovascular risk, and regular reviews of antidiabetic medication should be carried out to ensure they are updated to suit the patient’s needs. More robust research is needed to further examine combination oral antidiabetic treatments and cardiovascular risk, as there was a high level of heterogeneity (I2) and bias between the studies [20-30].

Figure 1: Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. 2021.

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. doi: 10.1136/bmj.n71

Table 1: Characteristics of included studies

Study Number

Author/ Year

Study Design

Participants/ Location/ sample age range

Intervention

Clinical Outcomes

Results

1

Gillani et.al,

Prospective

-N= 1657

Over 24 months (2 years)

Increased body weight: metformin

Increased body weight:

 

2022

multicentre,

-New diagnosis T2DM

3monthly f/u centres

+ gliclazide =0.87 increase,

metformin + gliclazide

 

 

observational cohort

less than 5 years.

monitored by research

metformin + saxagliptin = 2.2

=0.87 increase, metformin

 

 

study.

-age > 18 years -

team. Baseline Measures:

decrease.

+ saxagliptin = 2.2

 

 

 

No other serious

lipid profile, renal

ASCVD: differences from baseline

decrease.

 

 

 

comorbidities -5

function, risk ASCVD,

to end of trial significant mean

ASCVD: differences from

 

 

 

different primary or

glucose profile, BMI, BP

reduction -1.1% 95% CI: -1.69 to

baseline to end of trial

 

 

 

tertiary healthcare

then 3monthly N=513 G1

0.89, p = 0.041 ASCVD risk for

significant mean reduction

 

 

 

centres Penang,

metformin,

Su’s combined. Significant mean

-1.1% 95% CI: -1.69 to

 

 

 

Malaysia. - Above

N=217, G2 metformin +

reduction -1.56% 95% CI: -2.18 to

0.89, p = 0.041 ASCVD

 

 

 

6 mmol and Hb1Ac

glimepiride N=231, G3

1.02 risk score for DPP4i combined.

risk for Su’s combined.

 

 

 

above

metformin + gliclazide

-Hospitalisation: significantly

Significant mean reduction

 

 

 

6%

N=384, G4 metformin

higher frequency of hospitalization

-1.56% 95% CI: -2.18 to

 

 

 

 

+sitagliptin N= 312, G5

from -Hba1c SU+ met =6.732.65,

1.02 risk score for DPP4i

 

 

 

 

metformin+ saxagliptin

DPP4i+ met =6.222.07

combined. -Hospitalisation:

 

 

 

 

DPP4i or SU

-Hyperglycaemia metformin alone

significantly higher

 

 

 

 

 

78.16% and 30.8% SU 70.1% and

frequency of hospitalization

 

 

 

 

 

28.3%, and DPP-4 56.6% + 20.4%

from -Hba1c SU+ met

 

 

 

 

 

Hypoglycaemia SU + metformin

=6.732.65, DPP4i+ met

 

 

 

 

 

294 (65.6) Vs DPP4i + metformin

=6.222.07 -Hyperglycaemia

 

 

 

 

 

259 (37.2)

metformin alone 78.16%

 

 

 

 

 

HBA1c 6.73 – 2.65 SU+met

and 30.8% SU 70.1% and

 

 

 

 

 

6.22 -2.07DPP4i +met

28.3%, and DPP-4 56.6%

 

 

 

 

 

 

+ 20.4%

 

 

 

 

 

 

Hypoglycaemia SU +

 

 

 

 

 

 

metformin 294 (65.6) Vs

 

 

 

 

 

 

DPP4i + metformin 259

 

 

 

 

 

 

(37.2)

 

 

 

 

 

 

HBA1c 6.73 – 2.65

 

 

 

 

 

 

SU+met

 

 

 

 

 

 

6.22 -2.07DPP4i +met

2

Wanga, Wua and

Cohort study

N=68,591 aged >20

Compared DPP4i

-Primary outcome: hospitalisation

DPP4i more effective

 

Chiena, (2021)

 

years Taiwanese

vs SU for Major Adverse

for MACE’s -Secondary outcome:

protective results than

 

 

 

Insurance health data

Cardiovascular Events

hospitalisation for, MI, CVA, HF &

Sulfonylurea for MACE,

 

 

 

 

(MACEs) From health

hospitalisation for hypoglycaemia.

HF, acute MI, CVD, and

 

 

 

 

claims on a national

Comparison of SU &, DPP4i:

hypoglycaemia. DPP4i

 

 

 

 

insurance database -

DPP4i Significantly reduced

shows cardioprotective

 

 

 

 

Patients who received

hospitalisation risk for

effects with +/-hx of CVD.

 

 

 

 

metformin + DPP4i and

MACE Hazard ratio (HR) adjusted

Sitagliptin +vildagliptin

 

 

 

 

metformin + SU.

IRR 0.80 0.770.83

superior cardioprotective

 

 

 

 

2yr 3month period

(HF) HR 0.86 DPP4i, versus

effect. saxagliptin may

 

 

 

 

 

1.0 SU. Cerebrovascular disease

increase risk of HF.

 

 

 

 

 

HR 0.72 versus 1.0 Myocardial

Compared SU, all 3

 

 

 

 

 

Infarction (MI), DPP4i= 340, HR

DPP4i’s lowered the risk of

 

 

 

 

 

1.0, versus SU =402, HR 0.84.

hypoglycaemia in patients

 

 

 

 

 

hypoglycaemia HR 0.46 0.41-0.52

T2DM

 

 

 

 

 

Large reduction risk of

 

 

 

 

 

 

hospitalisation for MACE

 

 

 

 

 

 

Sitagliptin = 0.89 0.850.94

 

 

 

 

 

 

vildagliptin =0.77 0.60-0.99.

 

 

 

 

 

 

saxagliptin borderline meaningful

 

 

 

 

 

 

higher risk of

 

 

 

 

 

 

HF

 

3

Muskiet, et.al,

Double-blind RCT

DPP-4i Linagliptin vs

Linagliptin 5mg vs

GFR=Linagliptin- no effect from

Renal function not affected

 

2020 RENALIS

 

sulfonylurea on renal

glimepiride 1mg for 8

baseline ERPF= Linagliptin- no

by linagliptin. Linagliptin

 

 

 

functioning

weeks. (GFR) effective

effect from baseline - HBA1c=

increased vs glimepiride

 

 

 

in T2DM patients

renal plasma flow (ERPF)

reductions similar: Glimepiride

patients.

 

 

 

already on metformin

determined by Fractional

–0.65 6 0.10%.

-DPP-4 inhibition promotes

 

 

 

-46 overweight T2DM

excretions, urinary

-Linagliptin mean 6 SEM – 0.45

Na excretion

 

 

 

Caucasian, women

damage markers, inulin,

6 0.09% -BMI: glimepiride vs

-SU associated with

 

 

 

and men aged 35 to 75

-and paraMino hippuric

linagliptin caused increased body

increased weight gain and

 

 

 

years, on metformin

acid clearance, glucagon-

weight

more hypoglycaemic events

 

 

 

alone HbA1c 6.5–9.0,

like peptide 1SC derived

+0.8 kg, -0.5kg for DPP4i. BP &

 

 

 

 

BMI >25kg

factor-1α and DPP4i

HR - No changes noted for heart

 

 

 

 

 

substrata

rate and BP

 

 

 

 

 

 

-Fractional excretion of sodium was

 

 

 

 

 

 

increased with

 

 

 

 

 

 

linagliptin

 

 

 

 

 

 

Hypoglycaemia: Linagliptin 4% vs

 

 

 

 

 

 

25% Glimepiride

 

4

Douros et. al,

Cohort study

N=47,184 Patients

Does adding or switching

25,699 added or switched to SU

SU alone linked with a

 

2018

 

T2DM started on

to SU increases risk

Mean f/u 1.1 years. SU linked to

higher risk of MI, severe

 

 

 

metformin alone

severe hypoglycaemia

higher risk of MI =incidence 7.8 v

hypoglycaemia, and

 

 

 

between 1998 - 2013.

ischaemic stroke, MI,

6.2, HR 1.26, 95% CI 1.01 - 1.56

mortality, vs staying on

 

 

 

UK CPRD database

cardiovascular death,

-Mortality= 27.3 v 21.5, 1.281.15

metformin alone. When

 

 

 

 

mortality vs remaining

- 1.44. -Hypoglycaemia= 0.7 v 5.5,

introducing SU it is safer

 

 

 

 

on metformin alone for

7.60, 4.64 to 12.44 vs remaining on

to add metformin than to

 

 

 

 

second line treatment SU

metformin only.

switch

 

 

 

 

N=23, 592 Metformin

-Increased risk of cardiovascular

 

 

 

 

 

N=23, 592

death 8.1 v 9.4, 1.18, 0.98 - 1.43.

 

 

 

 

 

 

and stroke 6.7 v 5.5, 1.24 0.99 -

 

 

 

 

 

 

1.56 Vs adding SU. switching to

 

 

 

 

 

 

SU concomitant with higher risk

 

 

 

 

 

 

of MI HR 1.51, 95% CI 1.03 - 2.24

 

 

 

 

 

 

and mortality 1.23, 1.00 - 1.50.

 

 

 

 

 

 

No difference for, cardiovascular

 

 

 

 

 

 

death ischaemic stroke, or severe

 

 

 

 

 

 

hypoglycaemia adding SU= N39,

 

 

 

 

 

 

CI 95% 3.4 2.5 - 4.7

 

5

Study Hollander

RCT, double blind,

N =1325,18+ years +

-Measure effects and

Participants were similar, a

-More SAEs in ertugliflozin

 

et. al, 2017

Non- inferiority

T2DM

safety of glimepiride

minimum of 1 AE through the

groups not considered

 

VERTIS

trial Phase 3

232 sites, 16 countries:

compared with

groups. Trial drug related AEs =

related to medication

 

 

 

Taiwan,

ertugliflozin. Patients

GMI. SAE’s in ertugliflozin 5mg

- Safety for use of

 

 

 

Canada,

with T2DM - Poor

group higher vs glimepiride and

ertugliflozin acceptable

 

 

 

Republic, Poland,

control on metformin

ertugliflozin 15mg. - Spread across

- non-inferiority of

 

 

 

South Korea, Hungary,

-Over 104 weeks. First 52

classes, 2 Pneumonia:

Ertugliflozin 15 mg +

 

 

 

Argentina, Mexico,

weeks (A phase)

Ertugliflozin 5mg N=2 Glimepiride

metformin to glimepiride

 

 

 

Lithuania, Romania,

Second 52 weeks (B

N=1

confirmed inHbA1c

 

 

 

Slovakia, South Africa,

phase) to measure long-

CVA: ertugliflozin 5mg N= 2

reduction. - Ertugliflozin

 

 

 

Czech, Ukraine, USA,

term effectiveness and of

compared to glimepiride N=1

provides, better weight

 

 

 

Philippines, Russia,

ertugliflozin

AE’s resulting in discontinuation

loss, glucose control, and

 

 

 

 

-HbA1c between 7 and 9

across groups. 7 deaths: glimepiride

lowering BP relative to

 

 

 

 

percent, taking metformin

N=1 ertugliflozin 15mg N=1,

Glimepiride. -Ertugliflozin

 

 

 

 

1500 mg per day to,

ertugliflozin 5mg N=5 and

reduced the occurrence

 

 

 

 

glimepiride titrated from

Hypoglycaemia reduced with

of hypo, but increased

 

 

 

 

1 mg, or ertugliflozin

ertugliflozin vs with glimepiride.

incidence of Genital

 

 

 

 

15mg/5mg once daily.

Severe hypoglycaemia reported

mycotic infections.

 

 

 

 

 

in N=1 with ertugliflozin 15mg,

Results: Ertugliflozin

 

 

 

 

 

N=1 ertugliflozin 5mg, and N=10

safe alternative to SU for

 

 

 

 

 

glimepiride.

insufficient glycaemic

 

 

 

 

 

Weight loss -6.4 with ertugliflozin

control on metformin.

 

 

 

 

 

HBA1c – ertugliflozin 1.1mmol

 

 

 

 

 

 

difference. SU greater reduction

 

 

 

 

 

 

sharp fall 6-12 weeks

 

6

Chang et. al,

Retrospective

N=36,118 Taiwanese,

-Hospitalisations for any

-ITT analysis results: No variance in

-No alteration to overall

 

(2015)

cohort study

National

cardiovascular event:

risk of cardiovascular events across

cardiovascular risk linked

 

 

 

Health Insurance

MI, ischaemic stroke

treatment groups. -Significantly

with sulfonylureas vs other

 

 

 

database

congestive cardiac

reduced

second-line agents.

 

 

 

1 year study

failure (CCF) and - Over

risk of acute MI found in glinides

- Potentially lower risk

 

 

 

 

1 year until outcome,

and metformin group, crude HR

of MI with glinides +

 

 

 

 

death, or disenrollment.

0.52 Adjusted HR 0.39; 95% CI

metformin compared with

 

 

 

 

5 categories: metformin,

0.20 to 0.75 and -A- glucosidase- I

sulfonylureas +metformin

 

 

 

 

Aglucosidase inhibitors,

+ metformin, HR (crude)

 

 

 

 

 

sulfonylureas and

0.63,

 

 

 

 

 

metformin, metformin

-Adjusted HR 0.54; 95% CI 0.31

 

 

 

 

 

and glinides, metformin

to 0.95.

 

 

 

 

 

and DPP4i and metformin

Risk of stroke or CCF on change

 

 

 

 

 

and pioglitazone

observed

 

7

Leiter, et.al, 2015

RCT Phase 3 Study

N = 1,450) 52- weeks

Canagliflozin 100 or

104-week HBA1C reductions

Canagliflozin provides

 

 

 

followed by 52-week

300 mg + Metformin Vs

100mg -0.65%, -300mg 0.74%, and

more reduced body weight,

 

 

 

extension. 157 centres,

N=968

Glimepiride -0.55% -7.1, 8.1, and

durable

 

 

 

19 countries

Glimepiride -titrated

-6.0 mmol. Reduced body weight

glycaemic effect vs

 

 

 

Study conducted 28

to 6 or 8mg daily +

- 0.68kg, -0.89, Canagliflozin and

Glimepiride

 

 

 

August 2009 - January

Metformin N=482

+0.95, Glimepiride.

More hypoglycaemic

 

 

 

2013. Age >18 and <80

 

SBP (-2.0 100mg -3.1 300mg and

events and SAEs with

 

 

 

years

 

+1.7 Glimepiride. Adverse Events

Glimepiride.

 

 

 

 

 

73.3%, 100mg 77.9%, 300mg and

AE’s similar across groups

 

 

 

 

 

78.4% Glimepirides GMI, UTI,

More UTIs and GMI’s in

 

 

 

 

 

increased urination

canagliflozin group

 

 

 

 

 

related AEs increased for

Reduce systolic BP and

 

 

 

 

 

canagliflozin

weight observed with

 

 

 

 

 

vs glimepiride Hypoglycaemia

canagliflozin versus

 

 

 

 

 

significantly higher with

glimepiride.

 

 

 

 

 

Glimepiride 40.9% for canagliflozin

Reduced eGFR observed in

 

 

 

 

 

100mg 6.8 % and 300mg 8.2 %

3 groups but was higher for

 

 

 

 

 

glimepiride 6.8% reduction, in GFR

Glimepiride

 

 

 

 

 

with canagliflozin. This attenuated

 

 

 

 

 

 

over the trial. SAEs =9.7%,

 

 

 

 

 

 

100mg 9.7% 300mg and 14.3%,

 

 

 

 

 

 

Glimepiride.

 

 

 

 

 

 

Canagliflozin associated increased

 

 

 

 

 

 

HDL-C 0.21 and 22, stable at 26

 

 

 

 

 

 

and remained

 

8

Nauck et.al,

Double blind

52 weeks with a

Initial 52-week study

HbA1c mean decrease: at 52 weeks.

Glycaemic durability

 

(2014)

multicentre RCT

156- week extension

once completed, entered

Dapagliflozin vs glipizide changes

significantly better over

 

 

extension study

N=814

longer extension

at 104 wks −0.18% 2.0 mmol 95%

24mnths with dapagliflozin

 

 

 

DAP & Metformin =

double-blind period.

CI: −0.33 −3.6, −0.03−0.3. FPG

vs glipizide,

 

 

 

n 406

-52 additional treatment

than decrease at 104 weeks −1.12

-UTIs and GMI most

 

 

 

GLIP& Metformin =

weeks One chance for

mmol 95% CI: −1.32, −0.92,

prevalent side effects linked

 

 

 

n 408

up titration permitted.

glipizide −0.68 mmol 95% CI:

to dapagliflozin. incidence

 

 

 

 

– If HbA1c was above

−0.89, −0.47 0 deaths with

reduced during assessment

 

 

 

 

7, if not on max dose.

dapagliflozin. 4

period.

 

 

 

 

Down titration allowed if

deaths with glipizide.

-Persistent weight loss

 

 

 

 

hypoglycaemia happens

-7 cancers, across both groups

+SBP, may provide a

 

 

 

 

on more than one

Weight: − 3.7 dapagliflozin +

beneficial result for

 

 

 

 

occasion.

met vs + 1.4 glipizide + met

cardiovascular risk – but no

 

 

 

 

 

Hypoglycaemia less in dapagliflozin

significant difference.

 

 

 

 

 

4.2 % vs glipizide 45.8%

 

 

 

 

 

 

No significant difference for

 

 

 

 

 

 

cardiovascular

 

 

 

 

 

 

risk between groups

 

 

 

 

 

 

AA: SGLTi2+met=0 SU+met=1

 

 

 

 

 

 

MI: SGLTi2+met=1 SU+met=1

 

 

 

 

 

 

CAO: SGLTi2+met=0 SU+met=1

 

9

Del Prato et.al,

RCT- Multi centre,

N=2639 Participants

Treatment for 104 weeks.

Primary results: Mean HbA1c and

Significantly increased

 

(2014)

double blind,

aged

N=880 metformin

Fasting plasma glucose FPG at the

risk of hypoglycaemia in

 

 

 

18–80.

+alogliptin 12.5mg OD

end of 104 weeks from start 104:

Glipizide group. Risk for

 

 

 

With T2DM Research

N=885 alogliptin25 mg

−0.68% alogliptin 12.5 −0.59%

MACE Cardiovascular

 

 

 

sites: 310

OD

glipizide and −0.72% alogliptin 25

death, stroke or MI and risk

 

 

 

Australia, America

N=874 Glipizide 5 mg

mg FPG: reduced by 0.05 + 0.18

of pancreatitis comparable

 

 

 

North + South, Europe,

OD. Max titration of

mmol for alogliptin 12.5/25mg,

across the 3 groups

 

 

 

South, New Zealand,

20 mg

glipizide increased 0.30 mmol -

 

 

 

 

and South Africa

 

Safety for MACE (cardiovascular

 

 

 

 

 

 

death, Ml or stroke) alogliptin

 

 

 

 

 

 

12.5mg = 6, alogliptin 25mg = 8,

 

 

 

 

 

 

glipizide =11. Safety results for

 

 

 

 

 

 

hypoglycaemia:

 

 

 

 

 

 

Glipizide 23.2, alogliptin 25 mg

 

 

 

 

 

 

1.4%, alogliptin12.5mg 2.5% Mean

 

 

 

 

 

 

weight difference: −0.68, alogliptin

 

 

 

 

 

 

12.5, −0.89 25mg and

 

 

 

 

 

 

+0.95 glipizide. ss

 

10

Hassan and Abd-

RCT

N=180 Recruited from

Randomised 6 groups,

HBA1c: met + gliclazide 7.1±0 Vs

 

 

Allah, 2015

 

Alzahra Hospital, by

N30 in each: Placebo

glimepiride

 

 

 

staff, Cairo, Egypt.

Control group - calorie-

7±0.1 from baseline change

 

 

 

Male, age 30-75

restricted diet, active

FPG reduction -26.1% gliclazide

 

 

 

3month period T2DM

lifestyle Gliclazide 80mg

+ met ±3.7 vs. glimepiride +

 

 

 

 

Metformin 500mg BD,

met 28.9±3.1PPG gliclazide +

 

 

 

 

Glimepiride 3 mg OD,

Met-42.4%±3.3 vs Glimepiride

 

 

 

 

Gliclazide + Metformin

+ Met -46±2 HbA1C gliclazide

 

 

 

 

or Glimepiride +

+Met 21.1±1.5 vs. -21.3±1.6%

 

 

 

 

Metformin

Glimepiride +Met Gliclazide

 

 

 

 

Outcome measures: FPG,

or glimepiride + Met improved

 

 

 

 

PPG, plasma glucose,

induced disruption of Hcy.

 

 

 

 

change in Hcy and

glimepiride +met 10.3±0.3

 

 

 

 

HbA1c from 0-3mnths

vs gliclazide + met 11±0.3

 

 

 

 

secondary outcomes:

Hypoglycaemic events

 

 

 

 

vitamin B12 level

patients 6.6%, Gliclazide alone

 

 

 

 

 

n=2, glimepiride alone n=2

 

 

 

 

 

Metformin=0, 3/30 met =gliclazide,

 

 

 

 

 

5/30 (16.6%) met + glimepiride

 

 

 

 

 

16.6%

 

 

 

 

 

LDL: met + gliclazide 146±7 met +

 

 

 

 

 

glimepiride 142±7

 

 

 

 

 

Cholesterol: met 235±8 212±12b

11

Pantalone et. al,

Retrospective

N= (7320) Pts >18 yrs.

3768 glibenclamide +

Metformin plus glipizide or

No identification of higher

 

(2012)

cohort study

using academic health

metformin

glimepiride plus metformin:

risk for mortality with

 

 

 

centre electronic

2277 glipizide +

HR 1.03; 95% CI 0.89– 1.20,

variation of metformin in

 

 

 

health record system,

metformin 1275

-Metformin plus glimepiride

addition to sulfonylureas,

 

 

 

Cleveland, OH, USA

Glimepiride and

plus versus Metformin plus

indicating total mortality

 

 

 

 

metformin, assessed for

glibenclamide:1.08; 95% CI 0.90–

is not significantly

 

 

 

 

outcome of mortality by

1.30, or metformin plus glipizide

impacted by selection of

 

 

 

 

Social Security Death

vs. metformin plus glibenclamide:

sulfonylurea.

 

 

 

 

Index.

HR 1.05; 95% CI 0.95–1.15.

 

 

 

 

 

And electronic health

636 deaths occurred in the cohort

 

 

 

 

 

record

 

 

 

 

 

 

From 1998 and 12

 

 

 

 

 

 

October 2006(8 years)

 

 

 

 

 

 

follow up median (2.4

 

 

 

 

 

 

years)

 

 

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