Characteristics and Treatment Patterns of Patients with Type 2 Diabetes Mellitus in the Middle East and Africa Cohort of the DISCOVER Study Program: a Prospective Study.

INTRODUCTION: Despite the high prevalence of type 2 diabetes (T2D) and suboptimal glycemic control in the Middle East and Africa, comprehensive data on the management of T2D remain scarce. The main aim of this study is to describe the characteristics and treatment of patients with T2D initiating second-line glucose-lowering therapy in these regions.
METHODS: DISCOVER is a global, 3-year, prospective observational study of patients with T2D enrolled at initiation of second-line glucose-lowering therapy. Baseline characteristics and treatments are presented for patients from 12 countries divided into three regions: Mediterranean, Gulf Cooperation Council, and South Africa.
RESULTS: Among 3525 patients (52.5% male, mean age 54.3 years), mean time since T2D diagnosis was 6.2 years [across-region range (ARR) 5.8-7.5 years] and mean glycated hemoglobin levels were 8.7% (72.0 mmol/mol) [ARR 8.6-9.0% (68-75 mmol/mol)]. At first line, metformin was prescribed for 88.1% (ARR 85.4-90.3%) of patients and a sulfonylurea for 34.4% (ARR 12.7-45.4%). Sulfonylureas and dipeptidyl peptidase-4 inhibitors were prescribed at second line for 55.5% (ARR 48.6-82.5%) and 49.0% (ARR 3.7-73.8%) of patients, respectively. Main reasons for choice of second-line therapy were efficacy (73.2%; ARR 60.1-77.7%) and tolerability (26.8%; ARR 3.7-31.2%).
CONCLUSIONS: We demonstrate considerable inter-region variations in the management of T2D, likely affected by multiple factors (health system, physician behavior, and patient compliance), all of which should be addressed to optimize outcomes.

Key Summary Points

Introduction

The escalating incidence of type 2 diabetes mellitus (T2D) is a global public health crisis [1] and is of particular concern in the Middle East and Africa. The 2019 International Diabetes Federation (IDF) Diabetes Atlas estimates that 12.8% of people aged 20–79 years have diabetes in the Middle East and North Africa, which represents the highest estimated age-adjusted diabetes prevalence of all IDF regions [2]. In the Middle East alone, 14.6% of adults (81 million individuals) are living with diabetes [3]. Similarly, in South Africa, the estimated prevalence of T2D in adults was 15.3% [4]. The number of patients with T2D in the countries of the Gulf Cooperation Council (GCC) has increased dramatically in the past two decades and is projected to double by 2035 [5].

Despite the high prevalence of T2D and suboptimal glycemic control in these regions [6-10], comprehensive data on the management of T2D remain scarce [11]. A clear understanding of the impact of patient characteristics, risk factors, and treatment patterns on disease progression and outcomes is needed to reduce the burden of diabetes and its impact on morbidity, mortality, and healthcare resource use.

DISCOVER is a 3-year observational study of people with T2D initiating second-line glucose-lowering therapy in 38 countries [12, 13]. Data from the DISCOVER study have demonstrated global variations in the treatment of T2D [14]. This current analysis describes the characteristics and treatment of patients in the DISCOVER study enrolled in 12 countries representing the Middle East and Africa cohort: Algeria, Bahrain, Egypt, Jordan, Kuwait, Lebanon, Oman, Saudi Arabia, South Africa, Tunisia, Turkey, and United Arab Emirates.

Methods

Study Design

Selection Criteria, Study Cohorts, and Subgroups

The methods for the DISCOVER study program have been reported in detail elsewhere and are briefly summarized below [12, 13]. DISCOVER was a 3-year, non-interventional, prospective observational study conducted in a real-world setting in 38 countries (ClinicalTrials.gov identifier: NCT02322762 in 37 countries and NCT02226822 in Japan). In the present analysis, the 12 countries from the Middle East and Africa region were divided into three regions according to geographical location: Mediterranean countries (Algeria, Egypt, Jordan, Lebanon, Tunisia, and Turkey), GCC countries (Bahrain, Kuwait, Oman, Saudi Arabia, and United Arab Emirates,) and South Africa. Study protocols were approved by the appropriate clinical research ethics committee in each country and the relevant institutional review board at each site. The protocols complied with the Declaration of Helsinki, the International Conference on Harmonisation of Good Clinical Practice, and local regulations for clinical research.

Adult patients with T2D initiating a second-line glucose-lowering therapy (add-on or switching) after first-line oral therapy were invited by physicians to participate in the study from September 2014 to June 2016 [12]. Exclusion criteria included being pregnant, undergoing dialysis, having a history of renal transplant, and receiving first-line therapy with an injectable agent or an herbal remedy/natural medicine alone. All participating patients provided informed consent.

Data were collected using a standardized electronic case report form and included patient sociodemographics, laboratory test results, first- and second-line glucose-lowering therapies, preexisting comorbidities, and comedications. In line with the observational nature of the study, data were recorded according to routine clinical practice at each site during each noncompulsory study visit. To assess health-related quality of life (HRQoL), patients completed local-language versions of the 36-item Short-Form Health Survey version 2.0 (SF-36v2). The SF-36v2 is a generic health status measure that provides physical component summary (PCS) scores and mental component summary (MCS) scores. PCS and MCS scores are scaled to overall US norms of 50 and a standard deviation of 10, with higher scores indicating better HRQoL. A minimum clinically important difference is ~ 2 points [15]. SF-36v2 data were not collected from patients in Bahrain, Kuwait, and Oman owing to site preferences or limited availability of validated translated versions of the questionnaire.

Compliance with Ethics Guidelines

The study protocols were approved by the relevant clinical research ethics committees in each country and institutional review boards at each site, and complied with the Declaration of Helsinki, the International Conference on Harmonization of Good Clinical Practice, and the local regulations for clinical research.

Statistical Analysis

Patient data were compared among regions using one-way analysis of variance for continuous variables and the chi-squared test for categorical variables. P value < 0.05 was considered statistically significant. Statistical analyses were conducted using the SAS version 9.4 software (SAS Institute, Inc., Cary, NC, USA).

Results

Patient Characteristics

A total of 3525 patients were enrolled in DISCOVER from 152 sites across the 12 countries included in this analysis: 2240 patients (63.5%) from 113 sites in the Mediterranean, 766 patients (21.7%) from 21 sites in GCC countries, and 519 patients (14.7%) from 18 sites in South Africa (Table 1). The most common enrolling sites were primary care centers (37/113) and university/teaching hospitals (37/113) in Mediterranean countries, general hospitals (12/21) in GCC countries, and primary care centers (4/18) in South Africa. Nearly all sites (147/152) were located in urban areas.

Table 1

Site characteristics

	Total (N = 152)	Mediterranean (n = 113)	Gulf Cooperation Council (n = 21)	South Africa (n = 18)
Type of center
Primary care center	41 (27.0)	37 (32.7)	0 (0.0)	4 (22.2)
General/community hospital	17 (11.2)	4 (3.5)	12 (57.1)	1 (5.6)
University/teaching hospital	40 (26.3)	37 (32.7)	2 (9.5)	1 (5.6)
Specialized diabetes center	14 (9.2)	8 (7.1)	4 (19.0)	2 (11.1)
Other type of center	40 (26.3)	27 (23.9)	3 (14.3)	10 (55.6)
Urban location	147 (96.7)	113 (100.0)	19 (90.5)	15 (83.3)
Center funding
Public/governmental	56 (37.3)	41 (36.3)	14 (70.0)	1 (5.9)
Private	91 (60.7)	69 (61.1)	6 (30.0)	16 (94.1)
Mixed	3 (2.0)	3 (2.7)	0 (0.0)	0 (0.0)
Specialty of main investigator
PCP/family doctor	19 (12.5)	5 (4.4)	1 (4.8)	13 (72.2)
Endocrinology/diabetology	68 (44.7)	53 (46.9)	13 (61.9)	2 (11.1)
Internal medicine	62 (40.8)	54 (47.8)	7 (33.3)	1 (5.6)
Cardiology	2 (1.3)	1 (0.9)	0 (0.0)	1 (5.6)
Other speciality	1 (0.7)	0 (0.0)	0 (0.0)	1 (5.6)

Data are presented as n (%). Percentages are reported for patients with data available (missing data are excluded)

PCP primary care practitioner

The mean age of patients at enrollment was 54.3 ± 10.8 years, 1850 (52.5%) were men, 974 (29.7%) had no or only primary education, and 487 (14.4%) had no medical insurance (Table 2). The proportion of men was lowest in South Africa (Mediterranean versus GCC versus South Africa: 54.9% versus 59.7% versus 31.4%; P < 0.001), as was the proportion with governmental insurance (Mediterranean versus GCC versus South Africa: 61.4% versus 86.2% versus 43.7%; P < 0.001). Hypertension and hyperlipidemia were both common, with the lowest rates found in Mediterranean countries. Mean SF-36v2 PCS and MCS scores were highest in GCC countries (51.3 ± 7.1 and 48.2 ± 9.4, respectively) versus Mediterranean countries (47.6 ± 8.0 and 42.5 ± 10.2, respectively) versus South Africa (47.0 ± 8.1 and 47.8 ± 9.9, respectively).

Table 2

Demographics and health status of patients in the Middle East and Africa cohort of the DISCOVER study

	Total (N = 3525)	Mediterranean (n = 2240)	Gulf Cooperation Council (n = 766)	South Africa (n = 519)	P value
Age, years, mean (SD)	54.3 (10.8)	55.0 (10.4)	51.8 (11.2)	54.6 (11.4)	< 0.001
Men	1850 (52.5)	1230 (54.9)	457 (59.7)	163 (31.4)	< 0.001
Education					< 0.001
Nonformal	252 (7.7)	119 (5.8)	101 (14.0)	32 (6.4)
Primary (1–6 years)	722 (22.0)	475 (23.2)	136 (18.8)	111 (22.1)
Secondary (7–13 years)	1344 (41.0)	806 (39.3)	257 (35.5)	281 (55.9)
University/higher (> 13 years)	959 (29.3)	650 (31.7)	230 (31.8)	79 (15.7)
Insurance					< 0.001
Private	644 (19.0)	422 (19.7)	84 (11.5)	138 (26.8)
Public/governmental	2171 (64.0)	1316 (61.4)	630 (86.2)	225 (43.7)
Mixed	89 (2.6)	61 (2.8)	12 (1.6)	16 (3.1)
No insurance	487 (14.4)	346 (16.1)	5 (0.7)	136 (26.4)
Smoking					< 0.001
Nonsmoker	2506 (73.1)	1506 (69.9)	594 (78.2)	406 (79.3)
Ex-smoker	392 (11.4)	273 (12.7)	70 (9.2)	49 (9.6)
Current smoker	528 (15.4)	375 (17.4)	96 (12.6)	57 (11.1)
SF-36v2 score, mean (SD)
Physical component summary	48.2 (8.0)	47.6 (8.0)	51.3 (7.1)	47.0 (8.1)	< 0.001
Missing	1646	839	462	345
Mental component summary	43.9 (10.3)	42.5 (10.2)	48.2 (9.4)	47.8 (9.9)	< 0.001
Missing	1638	832	462	344

SD standard deviation, SF-36v2 36-item Short-Form Health Survey version 2.0

Data are presented as n (%) unless otherwise stated. Percentages are reported for patients with data available (missing data are excluded). P values for overall variation between regions calculated using one-way analysis of variance for continuous variables and chi-square test for categorical variables

Complications and Risk Factors

At enrollment, 17.7% of patients had known microvascular complications and 11.5% had known macrovascular complications (Table 3). Microvascular complications were least common in South Africa (Mediterranean versus GCC versus South Africa: 18.7% versus 20.5% versus 9.2%; P < 0.001), whereas the prevalence of macrovascular complications was similar among regions (Mediterranean versus GCC versus South Africa: 12.0% versus 10.4% versus 10.8%; P = 0.434). Use of medications for cardiovascular risk reduction was suboptimal across regions, with 33.6% of patients receiving either an angiotensin-converting enzyme inhibitor or angiotensin II receptor blocker (Mediterranean versus GCC versus South Africa: 31.8% versus 35.5% versus 38.5%; P = 0.006) and 42.2% of patients receiving a statin, the use of which was notably low in patients from Mediterranean countries (Mediterranean versus GCC versus South Africa: 33.8% versus 59.7% versus 52.8%; P < 0.001).

Table 3

Baseline clinical characteristics and laboratory test parameters of patients in the Middle East and Africa cohort of the DISCOVER study

	Total (N = 3525)	Mediterranean (n = 2240)	Gulf Cooperation Council (n = 766)	South Africa (n = 519)	P value
Time since T2D diagnosis, years, mean (SD)	6.2 (5.4)	6.5 (5.3)	5.8 (5.1)	7.5 (6.0)	< 0.001
HbA1c, %, mean (SD)	8.7 (1.7)	8.6 (1.6)	8.8 (1.7)	9.0 (2.1)	0.002
Missing	521	149	38	334
HbA1c category					< 0.001
< 7.0%	311 (10.4)	201 (9.6)	80 (11.0)	30 (16.2)
7.0% to < 8.0%	785 (26.1)	572 (27.4)	170 (23.4)	43 (23.2)
8.0% to < 9.0%	860 (28.6)	625 (29.9)	202 (27.7)	33 (17.8)
≥ 9.0%	1048 (34.9)	693 (33.1)	276 (37.9)	79 (42.7)
Fasting plasma glucose, mg/dL, mean (SD)	182.7 (60.3)	183.2 (58.8)	182.1 (63.0)	175.5 (72.3)	0.511
Missing	906	316	150	440
Body mass index, kg/m2, mean (SD)	31.1 (5.9)	30.8 (5.4)	31.7 (6.5)	31.5 (6.8)	< 0.001
Systolic blood pressure, mmHg, mean (SD)	133.4 (16.6)	131.7 (15.1)	135.3 (17.2)	137.2 (19.8)	< 0.001
Diastolic blood pressure, mmHg, mean (SD)	80.1 (10.0)	79.7 (9.3)	79.2 (10.9)	82.6 (10.5)	< 0.001
Medical history
Hypertension	1523 (43.2)	853 (38.1)	321 (41.9)	349 (67.2)	< 0.001
Hyperlipidemia	1413 (40.1)	747 (33.3)	401 (52.3)	265 (51.1)	< 0.001
Known microvascular diseasea	623 (17.7)	418 (18.7)	157 (20.5)	48 (9.2)	< 0.001
Known macrovascular diseaseb	405 (11.5)	269 (12.0)	80 (10.4)	56 (10.8)	0.434
Comedications
ACE-I or ARB	1185 (33.6)	713 (31.8)	272 (35.5)	200 (38.5)	0.006
Statin (any)	1489 (42.2)	758 (33.8)	457 (59.7)	274 (52.8)	< 0.001
High-intensity statin	427 (12.1)	277 (12.4)	106 (13.8)	44 (8.5)	0.012
Low- to moderate-intensity statin	1065 (30.2)	483 (21.6)	351 (45.8)	231 (44.5)	< 0.001
Antiplatelet or anticoagulant	842 (23.9)	474 (21.2)	240 (31.3)	128 (24.7)	< 0.001

ACE-I angiotensin-converting enzyme inhibitor, ARB angiotensin II receptor blocker, HbA glycated hemoglobin, SD standard deviation, T2D type 2 diabetes mellitus

Data are presented as n (%) unless otherwise stated. Percentages are reported for patients with data available (missing data are excluded). P values for overall variation between regions calculated using one-way analysis of variance for continuous variables and chi-square test for categorical variables

aIncludes nephropathy (chronic kidney disease or albuminuria), retinopathy, neuropathy (autonomic or peripheral), and erectile dysfunction

bIncludes coronary artery disease, cerebrovascular disease, peripheral artery disease, and heart failure

Glycemic Factors

The mean time since T2D diagnosis was higher in South Africa than in Mediterranean or GCC countries (Mediterranean versus GCC versus South Africa: 5.8 years versus 6.5 years versus 7.5 years; P < 0.001 (Table 3). Patients in South Africa were more likely to have missing glycated hemoglobin (HbA1c) and fasting plasma glucose (FPG) measurements than those in Mediterranean or GCC countries (Mediterranean versus GCC versus South Africa: missing HbA1c: 6.7% versus 5.0% versus 64.4%; missing FPG: 14.1% versus 19.6% versus 84.8%). Among patients with HbA1c measurements, the baseline mean HbA1c level was 8.7% (72.0 mmol/mol). HbA1c levels were highest in South Africa (Mediterranean versus GCC versus South Africa: 8.6% (71 mmol/mol) versus 8.8% (68 mmol/mol) versus 9.0% (75 mmol/mol); P < 0.001).

First- and Second-Line Glucose-Lowering Therapies

First-line therapy with a single agent was the most common glucose-lowering strategy across regions and was highest in South Africa (Mediterranean versus GCC versus South Africa: 67.0% versus 51.2% versus 90.2%; P < 0.001) (Table 4). Metformin was the most commonly prescribed first-line medication (Mediterranean versus GCC versus South Africa: 85.4% versus 90.3% versus 96.5%; P < 0.001), and sulfonylureas were also commonly used, particularly in GCC countries (Mediterranean versus GCC versus South Africa: 35.6% versus 45.4% versus 12.7%; P < 0.001). At second line, the majority of patients received two or three glucose-lowering medications, with most patients continuing to receive metformin. Sulfonylureas were commonly prescribed, particularly in South Africa (Mediterranean versus GCC versus South Africa: 48.6% versus 57.6% versus 82.5%; P < 0.001), whereas dipeptidyl peptidase-4 inhibitors were often added in Mediterranean and GCC countries (Mediterranean versus GCC versus South Africa: 51.0% versus 73.8% versus 3.7%; P < 0.001). Across all three regions, the overall use of sodium–glucose cotransporter-2 (SGLT-2) inhibitors and glucagon-like peptide receptor-1 (GLP-1) receptor agonists was low (3.2% and 2.7%, respectively).

Table 4

First- and second-line therapies of patients in the Middle East and Africa cohort of the DISCOVER study

	Total (N = 3525)	Mediterranean (n = 2240)	Gulf Cooperation Council (n = 766)	South Africa (n = 519)	P value
First-line therapy
Monotherapy	2360 (67.0)	1500 (67.0)	392 (51.2)	468 (90.2)	< 0.001
Dual therapy	998 (28.3)	624 (27.9)	327 (42.7)	47 (9.1)	< 0.001
Triple therapy	158 (4.5)	109 (4.9)	45 (5.9)	4 (0.8)	< 0.001
Four or more therapies	8 (0.2)	6 (0.3)	2 (0.3)	0 (0.0)	0.760
Individual drugs
Metformin	3105 (88.1)	1912 (85.4)	692 (90.3)	501 (96.5)	< 0.001
Sulfonylureas	1212 (34.4)	798 (35.6)	348 (45.4)	66 (12.7)	< 0.001
DPP-4 inhibitors	328 (9.3)	203 (9.1)	123 (16.1)	2 (0.4)	< 0.001
Thiazolidinediones	124 (3.5)	99 (4.4)	20 (2.6)	5 (1.0)	< 0.001
Meglitinides	63 (1.8)	60 (2.7)	3 (0.4)	0 (0.0)	< 0.001
α-Glucosidase	24 (0.7)	22 (1.0)	2 (0.3)	0 (0.0)	0.010
SGLT-2 inhibitors	7 (0.2)	6 (0.3)	1 (0.1)	0 (0.0)	0.638
Second-line therapy
Monotherapy	248 (7.0)	162 (7.2)	32 (4.2)	54 (10.4)	< 0.001
Dual therapy	2148 (60.9)	1379 (61.6)	337 (44.0)	432 (83.2)	< 0.001
Triple therapy	984 (27.9)	599 (26.7)	352 (46.0)	33 (6.4)	< 0.001
Four or more therapies	144 (4.1)	99 (4.4)	45 (5.9)	0 (0.0)	< 0.001
Individual drugs
Metformin	3136 (89.0)	1964 (87.7)	711 (92.8)	461 (88.8)	< 0.001
Sulfonylurea	1957 (55.5)	1088 (48.6)	441 (57.6)	428 (82.5)	< 0.001
DPP-4 inhibitors	1727 (49.0)	1143 (51.0)	565 (73.8)	19 (3.7)	< 0.001
Thiazolidinedione	451 (12.8)	353 (15.8)	61 (8.0)	37 (7.1)	< 0.001
Meglitinide	126 (3.6)	119 (5.3)	7 (0.9)	0 (0.0)	< 0.001
α-Glucosidase	70 (2.0)	65 (2.9)	5 (0.7)	0 (0.0)	< 0.001
SGLT-2 inhibitors	114 (3.2)	50 (2.2)	64 (8.4)	0 (0.0)	< 0.001
GLP-1 receptor agonist	94 (2.7)	56 (2.5)	28 (3.7)	10 (1.9)	0.121
Insulin	408 (11.6)	282 (12.6)	64 (8.4)	62 (11.9)	0.006

Data are presented as n (%). Individual drug classes are nonexclusive and include fixed-dose combination therapies. P values for overall variation between regions calculated using chi-square test

DPP-4 dipeptidyl peptidase-4, GLP-1 glucagon-like peptide-1, SGLT-2 sodium–glucose cotransporter 2

The main reason for changing from first- to second-line therapy reported by investigators was lack of efficacy of first-line therapy (92.3%, Fig. 1). Second-line therapies were mostly chosen on the basis of efficacy (73.2%), tolerability (26.8%), and low risk of weight gain (20.5%). However, in South Africa, tolerability and risk of weight gain were uncommon reasons for second-line medication selection (3.7% and 4.4%, respectively), while access to medications and cost were more commonly cited (21.8% and 13.3%) than in Mediterranean and GCC countries.

Fig. 1

Reasons cited by investigators for (a) changing first-line therapy and (b) choosing a second-line therapy for patients in the Middle East and Africa cohort of the DISCOVER study according to subregion. Multiple reasons could be selected. Reasons for changing first-line therapy appearing in less than 2% of cases are not shown (developed acute disease, developed chronic disease, inability to self-administer, prescriber access, and drug interactions)

Discussion

This analysis of baseline DISCOVER study data provides a unique insight into the demographic and clinical characteristics of patients with T2D moving from first- to second-line glucose-lowering therapy in Mediterranean countries, GCC countries, and South Africa. Data are presented on contemporary strategies used for glycemic control and cardiovascular risk reduction, as well as variations in care. Importantly, a number of potential gaps in care and the influence of different healthcare systems and socioeconomic structures across the regions are highlighted. Patient access to appropriate testing and medications can have a marked impact on the ability of clinicians to provide quality care. While the extent to which differences in treatment observed across regions are due to deficiencies in clinician understanding or patient access is unknown, improving quality of care within the regions must address both these issues.

One key finding of our analysis was the suboptimal monitoring of glycemic control. Both HbA1c and FPG measurements were missing for a substantial number of patients, particularly in South Africa, indicating serious limitations in access to this important measurement. Inadequate glycemic testing may lead to treatment inertia and suboptimal glucose control, putting these patients at higher risk of developing micro- and macrovascular complications [16]. Access to medications and costs were much more likely to influence the choice of second-line glucose-lowering medication in South Africa than in the other regions, whereas clinical reasons more often had an impact on the decision in Mediterranean and GCC countries. The proportion of patients prescribed sulfonylureas as second-line glucose-lowering therapy was particularly high in South Africa (82.5% of patients), most likely reflecting limited access to newer and potentially more costly medications at the time of study enrollment. In addition, the use of glucose-lowering medications with cardiovascular risk reduction (i.e., SGLT-2 inhibitors[17] and GLP-1 receptor agonists[18]) was low across regions. This was in contrast to the more frequent use of both insulin and sulfonylureas, possibly reflecting a glucose-centric approach to disease management within these countries and a lack of understanding of the potential cardioprotective benefits of these drugs [19]. Indeed, results from the recent CAPTURE observational study also highlighted deficits in the uptake of cardioprotective glucose-lowering drugs, despite the markedly high prevalence of cardiovascular complications in those patients [20]. Despite the cost, another explanation of such low rates of prescribing these two classes, mainly SGLT-2 inhibitors, is the fact that it was approved by the US Food and Drug Administration (FDA) in March 2013, which means that it was available in the markets of the study regions just before, or even after, the commencement of the DISCOVER study in 2014. For other classes, such as thiazolidinediones, the main limiting factor for choosing it as second-line therapy could be in accordance with the decreased worldwide trend of the use of thiazolidinediones, especially after the global withdrawal of rosiglitazone in 2010, and subsequent negative impression about the whole class.

Another key finding was the variation in the prevalence of cardiovascular comorbidities, such as hypertension and hyperlipidemia, across regions. This could represent the effect of inter-region variations in ethnicity or lifestyle (e.g., the Mediterranean diet) [21]. The lower prevalence of microvascular disease in South Africa could be explained by the lower proportion of men or current smokers. However, given other gaps in care noted in this country, reduced access to screening for such complications may potentially be a major contributor to this finding. Use of medications that reduce the risk of diabetes complications (e.g., angiotensin-converting enzyme inhibitors, angiotensin-II receptor blockers, and statins) was suboptimal across regions, despite the high rates of cardiovascular risk factors and evident diabetes complications at enrollment. Interestingly, these drugs were used in South Africa at similar or higher rates than in the other regions; quality of care may therefore be driven more by access issues (i.e., these classes of medications are inexpensive across regions) than by gaps in clinician education. While clinician understanding of guideline-directed medical care is important, our data demonstrate the effect the structure of the health system can have on both diagnostic and therapeutic management for such chronic diseases.

This subanalysis of the DISCOVER study contains data from over 3000 patients from many countries in the Middle East and Africa for which recent information on the management and outcomes of patients with T2D is lacking. By enrolling patients at the point of initiation of second-line therapy, the DISCOVER study provides insights into the treatment and management of T2D at an early stage in disease progression. However, these data are therefore not strictly representative of all patients with T2D, such as those with a longer disease history or those managing their disease through diet and exercise alone. Although sites were selected to be as representative as possible of the management of T2D within each country, urban sites are over-represented within this region, with only two countries (Saudi Arabia and South Africa) including rural sites. Per-country recruitment was very low in some countries, limiting the generalizability of the data on disease management in each region. Data on the use of glucose-lowering drugs were limited to clinician records, as patient adherence to treatment was not assessed. Additionally, the variability between South Africa and other regions in terms of the rate of governmental insurance coverage and main investigator specialty could have made the comparison of the diabetes medication perception pattern somewhat complicated. Finally, South Africa was the only country in DISCOVER to represent the South and Central Africa regions, and is geographically distinct from Mediterranean and GCC countries. However, we believe its inclusion in this analysis provides important insight into differences in practice patterns in the overall region.

Conclusions

Using baseline data from the Middle East and Africa region of the DISCOVER study program, substantial inter-region variations were highlighted in the management of T2D when switching from first- to second-line therapy. Most patients received metformin as first-line therapy, either as monotherapy or in combination with another agent, while sulfonylureas (SUs) and dipeptidyl peptidase-4 (DPP-4) inhibitors were commonly prescribed as second line. Despite these differences, glycemic control was often poor, owing to suboptimal monitoring and potential delays in treatment intensification. The use of newer glucose-lowering drugs with cardioprotective effects, such as SGLT-2 inhibitors and GLP-1 receptor agonists, was uncommon, despite the high prevalence of cardiovascular risk factors and existing vascular complications. Improved access to and government support for reimbursement of these newer but more expensive glucose-lowering medications may be of substantial benefit to patients in these regions. Improved monitoring of blood glucose levels, as well as timely and appropriate treatment intensification, may reduce the risk of patients developing future complications in regions known to have a high prevalence of T2D.

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 14 KB)

What is already known about this subject

Global DISCOVER study has already described the characteristics and treatment of patients with type 2 diabetes mellitus, initiating a second-line glucose-lowering therapy worldwide.

This international study outlined clinician therapeutic decisions for managing type 2 diabetes showing wide variety in different countries.

Longitudinal data on glucose-lowering treatment patterns and factors behind the wide variability are scarce.

What this study adds

This study focused for the first time on the second-line treatment pattern for Middle East and Africa (MEA) region.

It has shown that there is suboptimal glycemic control related to serious limitations in access to both diagnostic and therapeutic medical services in African countries in relation to other Mediterranean and GCC countries.

Low- and middle-income countries had limited access to the new generations of oral hypoglycemic agents that are mostly costly compared with the old ones, which was reflected by failing to achieve the target glycemic control and increasing the risk of cardiovascular diseases.

Countries from MEA region demonstrated a big variation in the prevalence of cardiovascular comorbidities that could reflect inter-region variations or lifestyle.