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. 2022 Sep 28;44(6):1342–1350. doi: 10.1007/s11096-022-01464-x

A 5-year trend in the use of sodium-glucose co-transporter 2 inhibitors and other oral antidiabetic drugs in a Middle Eastern country

Nancy Zaghloul 1,2, Ahmed Awaisu 2, Ahmed Mahfouz 1, Sumaya Alyafei 1, Hazem Elewa 2,3,
PMCID: PMC9718883  PMID: 36169802

Abstract

Background

Sodium glucose co-transporter 2 inhibitors (SGLT2is) are a novel class of oral antidiabetic drugs. To date, there are no pharmacoepidemiologic studies investigating the pattern of use of SGLT2is compared to other oral antidiabetic drugs in the Middle East, including Qatar.

Aim

This study aimed to explore the trends in the use of SGLT2is compared to other oral antidiabetic drugs in Qatar from 2016 to 2020.

Method

This is a descriptive, retrospective cross-sectional study where information on all oral antidiabetic drugs dispensed as in- or out-patient prescriptions from 2016 to 2020 in Hamad Medical Corporation hospitals, Qatar were collected. Outcomes included the number and relative frequency of quarterly prescriptions of different oral antidiabetic drug classes [biguanides, sulfonylureas, dipeptidyl peptidase 4 inhibitors, thiazolidinediones, meglitinides, α-glucosidase inhibitors, and SGLT2is] prescribed from 2016 to 2020.

Results

SGLT2is prescriptions increased from 1045 (2.13%) in 2017 to 8375 (12.39%) in 2020, while sulfonylureas prescriptions declined from 10,436 (21.25%) to 9158 (13.55%) during the same period. Metformin use decreased from 23,926 (48.71%) in 2017 to 30,886 (45.70%) in 2020. The proportions of thiazolidinediones, meglitinides, α-glucosidase inhibitors prescriptions remained stable over the years. Among SGLT2is, empagliflozin prescriptions showed an increase from 537 (10.65%) to 2881 (34.40%) compared to dapagliflozin, which decreased by the end of 2018 from 4505 (89.35%) to 5494 (65.6%).

Conclusion

SGLT2is have largely replaced sulfonylureas in Qatar. The increasing trend in their use over the years is similar to that reported in other countries. The trend among SGLT2is suggests greater preference for empagliflozin over dapagliflozin.

Keywords: Diabetes mellitus, Hypoglycemic agents, Qatar, Sodium-glucose transporter 2 inhibitors, Trends, Type 2

Impact statements

  • In Qatar, the use of sodium-glucose cotransporter 2 inhibitors is on the rise given their proven benefits.

  • Clinicians should be up-to-date on how to effectively prescribe these medications and be knowledgeable with their place in therapy.

  • Findings from this study can help healthcare policy makers to recognize the trends in the utilization of new antidiabetic drug classes added to the formulary in order to determine the need to add more agents from various classes.

Introduction

Over the past few decades, the unmet needs in diabetes management have led to the discovery of new therapeutic targets and drug classes, including sodium-glucose co-transporter 2 inhibitors (SGLT2is), dipeptidyl peptidase 4 inhibitors (DPP4is), incretin-based therapies, and insulin analogues. Consequently, the introduction of these new agents has resulted in a marked change in the prescribing of antidiabetic drugs (ADDs) for patients with type 2 diabetes mellitus (T2DM) in recent years. Similarly, evidence-based clinical practice guidelines for the management of diabetes have undergone significant updates to include greater options of ADDs when glycemic control is not achieved with metformin monotherapy [15].

Diabetes mellitus (DM) is a major public health issue that affects more than 400 million adults worldwide [6]. Diabetes can be classified into type 1 diabetes mellitus (T1DM), T2DM, and gestational diabetes [6]. T1DM affects about 10% of the diabetic population [7], while T2DM accounts for about 90% of all cases of diabetes [8]. Around 14% of pregnant women have gestational diabetes [9]. In 2021, the global diabetes prevalence was estimated to be 10.5% (536.6 million people), and it is projected to increase to 12.2% (783.2 million) in 2045 [10]. 6.7 million death cases were attributed to diabetes in 2021 [11]. Global health expenditures related to diabetes were approximated at 966 billion USD in 2021, and are expected to reach 1054 billion USD in 2045 [10]. It was reported that 73 million adults live with diabetes in the Middle-East and North Africa in 2021, and this number is anticipated to increase to 136 million by 2045 [11]. Equally, diabetes represents a growing public health challenge in Qatar. For instance, in 2020, the prevalence of DM among Qatari population was reported as 15.5% [12]. It is apparent that, if concerted efforts and necessary actions are not undertaken, this prevalence is anticipated to increase by more than double in the 35–60 age group by 2045 [13]. DM is associated with a high risk for cardiovascular (CV) morbidity and mortality [14, 15] and progression of renal disease [14]. Despite advances in secondary prevention therapy for cardiovascular diseases (CVDs), patients with diabetes are still at risk of complications from atherosclerotic cardiovascular disease (ASCVD) and kidney disease [14, 15]. Therefore, the major goals of therapy for diabetes are to prevent or delay microvascular and macrovascular complications and to improve quality of life [16].

SGLT2is are a novel class of oral ADDs. They mediate their effect by blocking glucose renal reabsorption, thus promoting urinary glucose excretion and reducing blood glucose levels [17]. The increase in glucosuria also provides several metabolic benefits, including, reduction of glycosylated hemoglobin (HbA1c), blood pressure, body weight, and albuminuria [18]. On the other hand, SGLT2is have been associated with an increase in low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterols [19], and genitourinary infections [20]. They may also increase the risk of amputations [21, 22], metabolic acidosis [23, 24], and bone fractures [25]. In addition, they are contraindicated in patients with severe renal impairment, end-stage renal disease, or in those receiving dialysis [2628]. Canagliflozin was the first agent to be approved for the treatment of T2DM by the United States Food and Drug Administration (U.S. FDA) and the European Medicines Agency (EMA) in 2013 [26, 29]. This was followed by the approval of dapagliflozin and empagliflozin in 2014 [27, 28, 30, 31]. Ertugliflozin was the last among these agents to be approved in 2018 [32, 33]. Clinical practice guidelines have recommended SGLT2is as an add-on or second-line therapy after metformin monotherapy failure or intolerance [15], especially in patients with established ASCVD [2, 4, 34], heart failure with reduced ejection fraction [35], and chronic kidney disease [36, 37].

While emerging evidence and treatment guidelines have the largest influence on prescribing patterns, trends in real-world may be influenced by other factors, such as clinician’s familiarity, medication costs, patient preferences, and adverse effects concerns [3840]. These patterns and trends in the utilization of ADDs could vary from one region or country to another, depending on several factors. Recent pharmacoepidemiological studies from the U.S., Europe, and East Asia have demonstrated changes in prescribed ADDs as add-on to metformin, where there was a decline in the use of sulfonylureas (SUs), an increase in the use of dipeptidyl peptidase 4 inhibitors (DPP4is), and a slight increase in SGLT2is [4147]. To our knowledge, there are no pharmacoepidemiologic studies investigating the pattern of use of SGLT2is in the region of the Middle East, including Qatar. The Middle East may differ from the Western countries in terms of the clinical settings and the local clinical practice guidelines. Moreover, there is a diversity in the nationalities of healthcare providers in the Middle East, and particularly in the Gulf region, where clinicians come from different medical backgrounds with various experiences [48]. These differences could contribute to different prescribing patterns. Additionally, the majority of the published studies from elsewhere were conducted before expanding the drug label indication for dapagliflozin to include reducing the risk of CV death and hospitalization for HF in patients with reduced ejection fraction HF [49].

Aim

This study aimed to explore the trends in the use of SGLT2is compared to other oral ADDs in Qatar over 5 years (i.e. from 2016 to 2020).

Ethics approval

The Institutional Review Board (IRB) at Hamad Medical Corporation (HMC) (MRC-01–20-1055) and Qatar University (1471-E/21) approved the study protocol.

Method

Study design and setting

This is a descriptive, retrospective cross-sectional study on the 5-year utilization of the approved SGLT2is in HMC’s formulary (dapagliflozin 10 mg, and empagliflozin 10 mg and 25 mg) compared to other oral ADDs. HMC is the principal public healthcare provider in the State of Qatar and consists of 12 general and specialized hospitals. HMC facilities deliver medical services to more than 80% of the population in the State of Qatar.

Data collection and study population

At HMC, dapagliflozin was added to the formulary in 2017, followed by empagliflozin in 2018. In this study, we collected information from electronic medical records on all oral ADDs [biguanides (BGs), sulfonylureas (SUs), dipeptidyl peptidase 4 inhibitors (DPP4is), thiazolidinediones (TZDs), meglitinides (MEGs), α-glucosidase inhibitors (AGIs), and sodium-glucose co-transporter 2 inhibitors (SGLT2is)] dispensed as in- or out-patient prescriptions from 1 January 2016 to 31 December 2020. Information on the usage of the oral ADDs in 2016 served as a baseline of their trend of use before HMC formulary’s inclusion of SGLT2is in 2017. Therefore, data from the beginning of 2017 to the end of 2020 included the usage of all oral ADDs, including the SGLT2is. The following data were extracted from the electronic medical record system (Cerner®) at HMC: the names of SGLT2is and other oral ADDs, patients’ demographics and baseline characteristics including age, gender, and nationality. Cerner® is considered a potential important resource for health research [50]. It is easy to access, provides comprehensive and clear data, and allows future follow up of long-term data. The data for each class of oral ADDs were extracted from Cerner® into Excel sheets. The extraction is considered to be very accurate and reflects the actual data since Cerner is the only system used to dispense medications at HMC. Additionally, “medications” and the other variables that were extracted (age, gender, nationalities) are structured data which reduces the opportunities for any false positive and/or false negative during the extraction process.

Then, prescriptions were stratified by quarter and the specific ADD class prescribed. Duplicates were removed from each quarter based on the patient’s medical record number to get the total number of prescriptions in each quarter. Data were screened for any missing information in each quarter. The overall number of study subjects was calculated by removing all the duplicates of patients who were using more than one class at a time.

Inclusion criteria included any oral ADDs prescriptions for adult patients (≥ 18 years old), between 2016 and 2020 at HMC. Prescriptions for patients < 18 years old, those for duration of less than 3 days, and those for insulin or glucagon-like peptide-1 receptor agonists were excluded. Insulin was excluded since it focuses more on T1DM population, while glucagon-like peptide-1 receptor agonists were excluded since their use is restricted to Qatari patients and are non-formulary for the majority of the patient population.

Outcome measures

Outcomes were the number and relative frequency of quarterly prescriptions (every 3 months starting from first of January of each year) of different oral ADDs classes from 2016 to 2020. Quarterly prescriptions of SGLT2is (dapagliflozin and empagliflozin) users per quarter from 2017 to 2020 were also collected. In addition, the pattern of the different ADDs combinations and their frequencies were captured. The ADDs combinations were categorized into monotherapy, dual therapy, and triple therapy or more.

Statistical analysis

Statistical Package for the Social Sciences (SPSS®) Version 27 (IBM SPSS®23 software) was used for descriptive statistical analyses of the collected data. Continuous variables were expressed as mean ± SD, while categorical variables were expressed as frequencies and percentages.

Results

Characteristics of the study patients

From 2016 to 2020, there were a total of 114,919 patients prescribed oral ADDs. Overall, more than half of the study subjects (57.5%) were less than 55 years old, and about 58% of them were male. The proportions of Arabs vs. non-Arabs were approximately equal at 56,905 (49.5%) and 58,014 (50.5%), respectively. The majority of the patients were on BGs (metformin) (n = 108,808;94.7%), followed by DPP4is (n = 48,611; 42.3%), SUs (n = 35,341; 30.8%), SGLT2is (n = 17,942; 15.6%), TZDs (7257; n = 6.3%), MEGS (n = 1523; 1.3%), and AGIs (n = 398; 0.3%) at any time between 2016 to 2020 (Table 1).

Table 1.

Demographics and baseline characteristics of patients on oral antidiabetic drugs from 2016 to 2020

BGs SUs DPP4is TZDs MEGs AGIs SGLT2is
Number of patients n (%) 108,808 (94.7) 35,341 (30.8) 48,611 (42.3) 7257 (6.3) 1523 (1.3) 398 (0.3) 17,942 (15.6)

Age (± SD)

 < 55

55–75

 > 75

52 (± 15)

64,038 (58.9)

39,865 (36.6)

4905 (4.5)

56 (± 12)

15,722 (44.5)

17,488 (49.5)

2131 (6.0)

56 (± 12)

22,668 (46.6)

23,164 (47.7)

2779 (5.7)

56 (± 12)

3116 (42.9)

3815 (52.6)

326 (4.5)

63 (± 13)

348 (22.8)

921 (60.5)

254 (16.7)

57 (± 15)

166 (41.7)

200 (50.3)

32 (8.0)

55 (± 11)

8383 (46.7)

9005 (50.2)

554 (3.1)

Gender n (%)

 Male

 Female

62,439 (57.4)

46,369 (42.6)

25,062 (70.9)

10,279 (29.1)

33,376 (68.7)

15,235 (31.3)

4914 (67.7)

2343 (32.3)

883 (58.0)

640 (42.0)

200 (50.3)

198 (49.7)

11,320 (63.1)

6622 (36.9)

Nationality n (%)

 Arabs

 Non-Arabs

53,484 (49.2)

55,324 (50.8)

16,117 (45.6)

19,224 (54.4)

23,802 (49.0)

24,809 (51.0)

4000 (55.1)

3257 (44.9)

1114 (73.1)

409 (26.9)

274 (68.8)

124 (31.2)

10,698 (59.6)

7244 (40.4)

SD, standard deviation; BGs, biguanides (metformin); SUs, sulfonylureas; DPP4is, dipeptidyl peptidase 4 inhibitors; TZDs, thiazolidinediones; MEGs, meglitinides; AGIs, α-glucosidase inhibitors; SGLT2is, sodium-glucose co-transporter 2 inhibitors

The overall number of patients on antidiabetic drugs does not represent the addition of the number of patients on different classes of oral antidiabetic drugs since many of these patients were using more than one class at the same time

Trends in the use of oral antidiabetic drugs

The volume of oral ADDs prescriptions increased from 37,839 in 2016 to 62,797 in 2020. In 2016, the use of metformin was stable, while there was an increase in DPP4is use and a decrease in SUs use (Fig. 1). After being introduced to the formulary in 2017, SGLT2is prescriptions increased over the years from 1045 (2.13%) in 2017 to 8375 (12.39%) in 2020, while SUs prescriptions showed a decline from 10,436 (21.25%) to 9158 (13.55%) during the same period. In addition, metformin use decreased from 23,926 (48.71%) in 2017 to 30,886 (45.70%) in 2020. On the other hand, the proportions of TZDs, MEGs, and AGIs prescriptions remained stable over the years as shown in Fig. 1. Among SGLT2is, empagliflozin prescriptions showed an increase from 537 (10.65%) to 2881 (34.40%) compared to dapagliflozin, which decreased by the end of 2018 from 4505 (89.35%) to 5494 (65.6%) (Fig. 2).

Fig. 1.

Fig. 1

Trends in the use of oral antidiabetic drugs from 2016 to 2020. ADDs, antidiabetic drugs; BGs, biguanides (metformin); SUs, sulfonylureas; DPP4is, dipeptidyl peptidase 4 inhibitors; TZDs, thiazolidinediones; MEGs, meglitinides; AGIs, α-glucosidase inhibitors; SGLT2is, sodium-glucose co-transporter 2 inhibitors

Fig. 2.

Fig. 2

Trends in the use of sodium–glucose co-transporter 2 inhibitors from 2018 to 2020

Trends in the use of oral antidiabetic drugs combination therapy

Figure 3 illustrates the utilization of combinations of oral ADDs among patients with T2DM in Qatar. Monotherapy decreased slightly from 46.62% in 2016 to 42.18% in 2020. Among patients receiving monotherapy, the most frequently prescribed ADD was metformin (81.12% in 2016 vs. 81.36% in 2020) (Fig. 4a). The subsequent most frequent monotherapies in 2016 were SUs, DPP4is, and TZDs. From 2017 to 2020, these were changed to SUs, DPP4is, and SGLT2is.

Fig. 3.

Fig. 3

Trends of most frequently prescribed oral antidiabetic drugs combinations from 2016 to 2020

Fig. 4.

Fig. 4

Trends of most frequently prescribed oral antidiabetic drugs combinations of a monotherapy, b dual therapy, and c triple therapy from 2016 to 2020. BGs, biguanides (metformin); SUs, sulfonylureas; DPP4is, dipeptidyl peptidase 4 inhibitors; TZDs, thiazolidinediones; MEGs, meglitinides; SGLT2is, sodium-glucose co-transporter 2 inhibitors

Similarly, the use of dual therapy decreased slightly from 32.99% in 2016 to 29.59% in 2020. The most frequent combinations among patients who received dual therapy in 2016 were BGs–DPP4is (46.73%), and BGs–SUs (43.45%). Since 2017 to 2020, BGs–SUs trended down consistently at the expense of an increase in BGs–SGLT2is, and BGs–DPP4is (Fig. 4b).

In contrast, the utilization of triple or more ADD combination therapy increased from 20.40% in 2016 to 28.24% in 2020. The most frequently used combination among patients who received triple therapy in 2016 was BGs–DPP4is–SUs (86.63%), which trended down to reach 47.75% in 2020. On the other hand, BGs–DPP4is–SGLT2is use increased dramatically from 7.84% in 2017 to 36.20% in 2020 (Fig. 4c).

Discussion

Statement of key findings

Our findings indicate that the use of oral ADDs significantly increased in Qatar over 5 years, which may be attributed to the increasing prevalence of DM in Qatar [13]. Following the addition of SGLT2is to HMC’s formulary in 2017, there was an increase in their uptake and a corresponding reduction primarily in the SUs. In addition, the utilization of SGLT2is showed an increase as monotherapy, dual therapy, and in triple or more ADD combination therapy.

Interpretation

Metformin use declined from 48.71% in 2017 to 45.70% in 2020, which is in contrast to recent studies that showed either a stable or an increased trend in metformin use in other countries [41, 43, 46, 51]. Moreover, SUs prescribing considerably decreased from 2017 to 2020, and this coincided with a slight increase in DPP4is prescribing. The decrease in SUs prescribing is most likely explained by physicians' attempts to reduce their risk of hypoglycemia and weight gain [1], and the availability of safer ADDs. On the other hand, the increase in DPP4is use is expected as they do not cause hypoglycemia and weight gain [1]. The trends of SUs and DPP-4is prescribing and utilization are consistent with studies in other countries [4144, 46, 52].

In line with the previous studies conducted elsewhere, a rapid increase in SGLT2is use was observed since they became available in HMC’s formulary in 2017 [41, 44, 46, 51, 52]. The main reason for the increased trend in the utilization of this novel class of ADDs is that they are associated with reductions in blood pressure, body weight, and albuminuria, and are not associated with hypoglycemia [1, 18]. Besides that, the emergence of evidence of CV and renal benefits through landmark cardiovascular outcomes trials [21, 5358], which consequently led to expansion in their drug label by regulatory authorities [59, 60], could also be a potential contributing factor in the increased use of SGLT2is. The findings of EMPA-REG OUTCOME trial resulted in expanding the drug label for empagliflozin in December 2016 by the U.S. FDA to include reducing the risk of CV death in adult patients with T2DM and CVD [53, 59]. In addition, after publishing the results of DAPA-HF trial, the U.S. FDA approved dapagliflozin for reducing the risk of CV death and hospitalization for HF in patients with reduced ejection fraction in May 2020 [55, 60]. All of these advantages of SGLT2is clearly explain the reasons for their increased prescribing patterns over the years.

Among SGLT2is, we noted a significant increase in empagliflozin use over dapagliflozin before 2020. Although there are no head-to-head clinical trials comparing SGLT2is, a potential reason for the preference of empagliflozin over dapagliflozin could be due to the new indication of the former in 2016 to reduce the risk of CV death in adult patients with T2DM and CVD [59]. After that, the approximately parallel trends of both agents by the end of 2019 until the end of 2020 could be attributed to the published results of DAPA-HF trial in November 2019 that led to a new indication of dapagliflozin in 2020 to reduce the risk of CV death and hospitalization for HF in patients with reduced ejection fraction HF [60]. Similar results were shown by a study in a U.S. academic medical center [61].

Furthermore, the rate of monotherapy prescriptions decreased over time, which is in alignment with the rates reported in other countries [46, 52]. Likewise, the use of dual therapy decreased during the same period. In contrast, the prescription rates of combinations of 3 or more ADDs increased over time and this increase, which explains the decline in the rates of monotherapy and dual therapy, is consistent with a study conducted in Korea [52].

Metformin monotherapy or combination therapy was the most commonly prescribed medication over the five-year period of the study. This pattern is consistent with diabetes management guidelines, as metformin is considered the first line treatment for T2DM [15]. This finding is also consistent with other studies from the U.S., United Kingdom, and East Asia [41, 43, 46, 51, 52, 62]. Furthermore, a Korean study showed that the most common dual therapy was BGs–DPP4is, which is similar to our results [52]. Prior to introducing SGLT2is to HMC’s formulary, BGs–SUs combination was the second most frequently prescribed dual therapy. However, in 2017 there was a shift from BGs–SUs to BGs–SGLT2is, which continued to rise until 2020. Among triple therapy, BGs–DPP4is–SUs was the most commonly prescribed combination in 2016; however, this declined over the years following the introduction of SGLT2is. This decline was offset by a gradual increase in BGs–DPP4is–SGLT2is. Given the advantages and the definitive evidence of benefit of SGLT2is, the shift from SUs–based to SGLT2is–based combinations was expected.

Strengths and weaknesses

A major strength in our study is that it provides a detailed explanation on the trend in the use of various oral ADDs and the pattern of various ADDs combinations in Qatar. To the best of our knowledge, this is the only study with such focus in Qatar and the Middle East especially after the introduction of SGLT2is. However, our study is not without limitations. The most important limitation is that we did not include data from community pharmacies and private hospitals. Therefore, caution should be exercised when generalizing these findings. Additionally, the gathered demographics data of the study did not did include descriptors other than the age, gender and nationality. Furthermore, the paper lacks inferential statistical analyses as there are no independent groups with different exposures to compare for a certain outcome or an association that we aimed to test for.

Further research

Future studies can focus on investigating the factors associated with prescribing SGLT2is compared to other ADDs, as well as the factors associated with prescribing a specific agent under this class.

Conclusion

SGLT2is have shown an increasing prescribing trend in Qatar over the years which is similar to that reported in other countries. The trend among SGLT2is suggests greater preference for empagliflozin over dapagliflozin. Meanwhile, the use of SUs declined over time. Additionally, SGLT2is prescriptions showed an increase as monotherapy, dual therapy, and in triple or more ADD combination therapy.

Acknowledgements

None.

Funding

Open Access funding provided by the Qatar National Library. The authors did not receive support from any organization for the submitted work.

Conflicts of interest

The authors declare no conflict of interest.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.American Diabetes Association 9. Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes-2021. Diabetes Care. 2021;44:S111–S124. doi: 10.2337/dc21-S009. [DOI] [PubMed] [Google Scholar]
  • 2.Lipscombe L, Butalia S, Dasgupta K, et al. Pharmacologic glycemic management of type 2 diabetes in adults: 2020 Update. Can J Diabetes. 2020;44:575–591. doi: 10.1016/j.jcjd.2020.08.001. [DOI] [PubMed] [Google Scholar]
  • 3.Garber AJ, Abrahamson MJ, Barzilay JI, et al. Consensus statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the comprehensive type 2 diabetes management algorithm - 2019 executive summary. Endocr Pract. 2019;25:69–100. doi: 10.4158/CS-2018-0535. [DOI] [PubMed] [Google Scholar]
  • 4.Buse JB, Wexler DJ, Tsapas A, et al. Update to: management of hyperglycemia in type 2 diabetes, 2018. A consensus report by the American Diabetes Association (ADA) and the European Association for the study of diabetes (EASD) Diabetes Care. 2019;43:487–93. doi: 10.2337/dci19-0066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.National Institute for Health and Care Excellence. Type 2 diabetes in adults: management. NICE guideline 2015. https://www.nice.org.uk/guidance/ng28. Accessed 09.07.2021. [PubMed]
  • 6.World Health Organization. Diabetes. 2021. https://www.who.int/news-room/fact-sheets/detail/diabetes/. Accessed 09.07.2021.
  • 7.International Diabetes Federation. Type 1 diabetes. 2020. https://www.idf.org/aboutdiabetes/type-1-diabetes.html. Accessed 03.07.2022.
  • 8.International Diabetes Federation. Type 2 diabetes. 2020. https://www.idf.org/aboutdiabetes/type-2-diabetes.html. Accessed 03.07.2022.
  • 9.Wang H, Li N, Chivese T, et al. IDF diabetes atlas: estimation of global and regional gestational diabetes mellitus prevalence for 2021 by International Association of Diabetes in Pregnancy Study Group's Criteria. Diabetes Res Clin Pract. 2022;183:109050. doi: 10.1016/j.diabres.2021.109050. [DOI] [PubMed] [Google Scholar]
  • 10.Sun H, Saeedi P, Karuranga S, et al. IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183:109119. doi: 10.1016/j.diabres.2021.109119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.International Diabetes Federation. Diabetes around the world in 2021. 2021. https://diabetesatlas.org/. Accessed 10.06.2022.
  • 12.International Diabetes Federation. IDF MENA members: Qatar. 2020. https://idf.org/our-network/regions-members/middle-east-and-north-africa/members/45-qatar.html. Accessed 05.12.2021.
  • 13.Ministry of Public Health: State of Qatar. National strategy to prevent diabetes in Qatar. 2021. https://www.moph.gov.qa/english/strategies/Supporting-Strategies-and-Frameworks/nationaldiabetesstrategy/Pages/default.aspx. Accessed 09.07.2021.
  • 14.Centers for Disease Control and Prevention. National diabetes statistics report. 2020. https://www.cdc.gov/diabetes/data/statistics-report/index.html. Accessed 09.07.2021.
  • 15.Virani SS, Alonso A, Aparicio HJ, et al. Heart disease and stroke statistics-2021 update: a report from the American Heart Association. Circulation. 2021;143:e254–e743. doi: 10.1161/CIR.0000000000000950. [DOI] [PubMed] [Google Scholar]
  • 16.American Diabetes Association 4. Comprehensive medical evaluation and assessment of comorbidities: standards of medical care in diabetes-2021. Diabetes Care. 2021;44:S40–S52. doi: 10.2337/dc21-S004. [DOI] [PubMed] [Google Scholar]
  • 17.Gallo LA, Wright EM, Vallon V. Probing SGLT2 as a therapeutic target for diabetes: basic physiology and consequences. Diab Vasc Dis Res. 2015;12:78–89. doi: 10.1177/1479164114561992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Heerspink HJ, Perkins BA, Fitchett DH, et al. Sodium glucose cotransporter 2 inhibitors in the treatment of diabetes mellitus: cardiovascular and kidney effects, potential mechanisms, and clinical applications. Circulation. 2016;134:752–772. doi: 10.1161/CIRCULATIONAHA.116.021887. [DOI] [PubMed] [Google Scholar]
  • 19.Sinclair A, Bode B, Harris S, et al. Efficacy and safety of canagliflozin compared with placebo in older patients with type 2 diabetes mellitus: a pooled analysis of clinical studies. BMC Endocr Disord. 2014;14:37. doi: 10.1186/1472-6823-14-37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Unnikrishnan AG, Kalra S, Purandare V, et al. Genital infections with sodium glucose cotransporter-2 inhibitors: occurrence and management in patients with type 2 diabetes mellitus. Indian J Endocrinol Metab. 2018;22:837–842. doi: 10.4103/ijem.IJEM_159_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Neal B, Perkovic V, Mahaffey KW, et al. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017;377:644–657. doi: 10.1056/NEJMoa1611925. [DOI] [PubMed] [Google Scholar]
  • 22.Chang HY, Singh S, Mansour O, et al. Association between sodium-glucose cotransporter 2 inhibitors and lower extremity amputation among patients with type 2 diabetes. JAMA Intern Med. 2018;178:1190–1198. doi: 10.1001/jamainternmed.2018.3034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Blau JE, Tella SH, Taylor SI, et al. Ketoacidosis associated with SGLT2 inhibitor treatment: Analysis of FAERS data. Diabetes Metab Res Rev. 2017;33:2924. doi: 10.1002/dmrr.2924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Rosenstock J, Ferrannini E. Euglycemic diabetic ketoacidosis: a predictable, detectable, and preventable safety concern with SGLT2 inhibitors. Diabetes Care. 2015;38:1638–1642. doi: 10.2337/dc15-1380. [DOI] [PubMed] [Google Scholar]
  • 25.Alba M, Xie J, Fung A, et al. The effects of canagliflozin, a sodium glucose co-transporter 2 inhibitor, on mineral metabolism and bone in patients with type 2 diabetes mellitus. Curr Med Res Opin. 2016;32:1375–1385. doi: 10.1080/03007995.2016.1174841. [DOI] [PubMed] [Google Scholar]
  • 26.U.S. Food and Drug Administration. INVOKANA (canagliflozin): prescribing information. 2013. https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/204042s034lbl.pdf#page=48. Accessed 09.07.2021.
  • 27.U.S. Food and Drug Administration. FARXIGA (dapagliflozin): prescribing information. 2014. https://www.accessdata.fda.gov/drugsatfda_docs/label/2014/202293s003lbl.pdf. Accessed 09.07.2021.
  • 28.U.S. Food and Drug Administration. JARDIANCE (empagliflozin) : prescribing information. 2014. https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/204629s018lbl.pdf. Accessed 09.07.2021.
  • 29.European Medicines Agency. Invokana. 2021. https://www.ema.europa.eu/en/medicines/human/EPAR/invokana#product-information-section. Accessed 05.12.2021.
  • 30.European Medicines Agency. Jardiance. 2021. https://www.ema.europa.eu/en/medicines/human/EPAR/jardiance#product-information-section. Accessed 05.12.2021.
  • 31.European Medicines Agency. Forxiga. 2021. https://www.ema.europa.eu/en/medicines/human/EPAR/forxiga#authorisation-details-section. Accessed 05.12.2021.
  • 32.U.S. Food and Drug Administration. STEGLATRO™ (ertugliflozin): prescribing information. 2017. https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/209803s000lbl.pdf. Accessed 09.07.2021.
  • 33.European Medicines Agency. Steglatro. 2020. https://www.ema.europa.eu/en/medicines/human/EPAR/steglatro#authorisation-details-section. Accessed 05.12.2021.
  • 34.American Diabetes Association 10. Cardiovascular disease and risk management: standards of medical care in diabetes-2021. Diabetes Care. 2021;44:S125–s50. doi: 10.2337/dc21-S010. [DOI] [PubMed] [Google Scholar]
  • 35.McDonagh TA, Metra M, Adamo M, et al. 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42:3599–3726. doi: 10.1093/eurheartj/ehab368. [DOI] [PubMed] [Google Scholar]
  • 36.American Diabetes Association 11. Microvascular complications and foot care: standards of medical care in diabetes-2021. Diabetes Care. 2021;44:S151–s67. doi: 10.2337/dc21-S011. [DOI] [PubMed] [Google Scholar]
  • 37.KDIGO clinical practice guideline for diabetes management in chronic kidney disease. Kidney Int. 2020;2020(98):S1–s115. doi: 10.1016/j.kint.2020.06.019. [DOI] [PubMed] [Google Scholar]
  • 38.Davari M, Khorasani E, Tigabu BM. Factors influencing prescribing decisions of physicians: a review. Ethiop J Health Sci. 2018;28:795–804. doi: 10.4314/ejhs.v28i6.15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Tamblyn R, McLeod P, Hanley JA, et al. Physician and practice characteristics associated with the early utilization of new prescription drugs. Med Care. 2003;41:895–908. doi: 10.1097/00005650-200308000-00004. [DOI] [PubMed] [Google Scholar]
  • 40.Garjón FJ, Azparren A, Vergara I, et al. Adoption of new drugs by physicians: a survival analysis. BMC Health Serv Res. 2012;12:56. doi: 10.1186/1472-6963-12-56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Fang M, Wang D, Coresh J, et al. Trends in diabetes treatment and control in U.S. adults, 1999–2018. N Engl J Med. 2021;384:2219–28. doi: 10.1056/NEJMsa2032271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Bang C, Mortensen MB, Lauridsen KG, et al. Trends in antidiabetic drug utilization and expenditure in Denmark: a 22-year nationwide study. Diabetes Obes Metab. 2020;22:167–172. doi: 10.1111/dom.13877. [DOI] [PubMed] [Google Scholar]
  • 43.Dennis JM, Henley WE, McGovern AP, et al. Time trends in prescribing of type 2 diabetes drugs, glycaemic response and risk factors: a retrospective analysis of primary care data, 2010–2017. Diabetes Obes Metab. 2019;21:1576–1584. doi: 10.1111/dom.13687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Curtis HJ, Dennis JM, Shields BM, et al. Time trends and geographical variation in prescribing of drugs for diabetes in England from 1998 to 2017. Diabetes Obes Metab. 2018;20:2159–2168. doi: 10.1111/dom.13346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Persson F, Bodegard J, Lahtela JT, et al. Different patterns of second-line treatment in type 2 diabetes after metformin monotherapy in Denmark, Finland, Norway and Sweden (D360 Nordic): a multinational observational study. Endocrinol Diabetes Metab. 2018;1:e00036. doi: 10.1002/edm2.36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Tan YZ, Cheen MHH, Goh SY, et al. Trends in medication utilization, glycemic control and outcomes among type 2 diabetes patients in a tertiary referral center in Singapore from 2007 to 2017. J Diabetes. 2019;11:573–581. doi: 10.1111/1753-0407.12886. [DOI] [PubMed] [Google Scholar]
  • 47.Kim J, Park S, Kim H, et al. National trends in metformin-based combination therapy of oral hypoglycaemic agents for type 2 diabetes mellitus. Eur J Clin Pharmacol. 2019;75:1723–1730. doi: 10.1007/s00228-019-02751-9. [DOI] [PubMed] [Google Scholar]
  • 48.Abdulrhim S, Awaisu A, Ibrahim MIM, et al. Impact of pharmacist-involved collaborative care on diabetes management in a primary healthcare setting using real-world data. Int J Clin Pharm. 2022;44:153–162. doi: 10.1007/s11096-021-01327-x. [DOI] [PubMed] [Google Scholar]
  • 49.U.S. Food and Drug Administration. FDA approves new treatment for a type of heart failure. 2020. https://www.fda.gov/news-events/press-announcements/fda-approves-new-treatment-type-heart-failure. Accessed 10.07.2021.
  • 50.Cerner. Data and research. https://www.cerner.com/ap/en/solutions/data-research#. Accessed 25.06.2022.
  • 51.Neilson LM, Munshi KD, Peasah SK, et al. Changes in type 2 diabetes medication utilization and costs in the United States, 2014–2019. Med Care. 2021;59:789–794. doi: 10.1097/MLR.0000000000001597. [DOI] [PubMed] [Google Scholar]
  • 52.Lee KA, Jin HY, Kim YJ, et al. Treatment patterns of type 2 diabetes assessed using a common data model based on electronic health records of 2000–2019. J Korean Med Sci. 2021;36:e230. doi: 10.3346/jkms.2021.36.e230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Zinman B, Wanner C, Lachin JM, et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373:2117–2128. doi: 10.1056/NEJMoa1504720. [DOI] [PubMed] [Google Scholar]
  • 54.Wiviott SD, Raz I, Bonaca MP, et al. Dapagliflozin and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2019;380:347–357. doi: 10.1056/NEJMoa1812389. [DOI] [PubMed] [Google Scholar]
  • 55.McMurray JJV, Solomon SD, Inzucchi SE, et al. Dapagliflozin in patients with heart failure and reduced ejection fraction. N Engl J Med. 2019;381:1995–2008. doi: 10.1056/NEJMoa1911303. [DOI] [PubMed] [Google Scholar]
  • 56.Packer M, Anker SD, Butler J, et al. Cardiovascular and renal outcomes with empagliflozin in heart failure. N Engl J Med. 2020;383:1413–1424. doi: 10.1056/NEJMoa2022190. [DOI] [PubMed] [Google Scholar]
  • 57.Perkovic V, Jardine MJ, Neal B, et al. Canagliflozin and renal outcomes in type 2 diabetes and nephropathy. N Engl J Med. 2019;380:2295–2306. doi: 10.1056/NEJMoa1811744. [DOI] [PubMed] [Google Scholar]
  • 58.Heerspink HJL, Stefánsson BV, Correa-Rotter R, et al. Dapagliflozin in patients with chronic kidney disease. N Engl J Med. 2020;383:1436–1446. doi: 10.1056/NEJMoa2024816. [DOI] [PubMed] [Google Scholar]
  • 59.U.S. Food and Drug Administration. FDA approves Jardiance to reduce cardiovascular death in adults with type 2 diabetes. 2016. https://www.fda.gov/news-events/press-announcements/fda-approves-jardiance-reduce-cardiovascular-death-adults-type-2-diabetes. Accessed 31.12.2021.
  • 60.U.S. Food and Drug Administration. FDA approves new treatment for a type of heart failure. 2020. https://www.fda.gov/news-events/press-announcements/fda-approves-new-treatment-type-heart-failure. Accessed 31.12.2021.
  • 61.Hamid A, Vaduganathan M, Oshunbade AA, et al. Antihyperglycemic therapies With expansions of US Food and Drug Administration indications to reduce cardiovascular events: prescribing patterns within an academic medical center. J Cardiovasc Pharmacol. 2020;76:313–320. doi: 10.1097/FJC.0000000000000864. [DOI] [PubMed] [Google Scholar]
  • 62.Wang C, Gao Y, Zhu L, et al. Treatment patterns in patients with newly diagnosed type 2 diabetes in China: a retrospective, longitudinal database study. Clin Ther. 2019;41:1440–1452. doi: 10.1016/j.clinthera.2019.05.003. [DOI] [PubMed] [Google Scholar]

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