Journal of Diabetes and Treatment

Prevalence and Association of Microvascular Complications with Atherosclerotic Cardiovascular Disease in People with Type 2 Diabetes in The Gulf Region: Results from the PACT-MEA Study

by Tarik Elhadd1*, Stephen Beer1, Saeed Khalaf2, Zeinab Dabbous1, Abeer Alfadhl3, Fahad Al Ajmi3, Shaimaa Al Haddad3, Mustafa Seidahmed1, Guruprasad Subbarao4, Ahmed Shalaby4, Usama Al Alami4, Rayaz A Malik5

1Hamad Medical Corporation, The Modular Offices, Hamad General Hospital, AlRayyan Road, Doha, Qatar.

2Salmaniya Medical Complex, Building Al Salmaniya Area, P.O. Box 12 Manama, Bahrain.

3Ministry of Health, P.O. Box 5, 13001, Kuwait.

4Novo Nordisk Gulf Cluster Salmiya, P.O. Box 20704, Kuwait.

5Weill Cornell Medicine-Qatar, Education City, Qatar Foundation, P.O. Box 24144, Qatar.

*Corresponding author: Tarik Elhadd, Hamad Medical Corporation, The Modular Offices, Hamad General Hospital, AlRayyan Road, Doha, Qatar.

Received Date: 10 June 2025

Accepted Date: 15 June 2025

Published Date: 18 June 2025

Citation: Elhadd T, Beer S, Khalaf S, Dabbous Z, Alfadhl A, et al. (2025) Prevalence and Association of Microvascular Complications with Atherosclerotic Cardiovascular Disease in People with Type 2 Diabetes in The Gulf Region: Results from the PACT-MEA Study. J Diabetes Treat 10: 10146. https://doi.org/10.29011/2574-7568.010146

Abstract

Background and aims: To establish the burden of microvascular complications and their relationship with established Atherosclerotic Cardiovascular Disease (eASCVD) and ASCVD risk in participants with Type 2 Diabetes (T2D).

Methods and results: The study was a sub-analysis of the PACT-MEA study and included data from 1062 adult participants with T2D from Bahrain, Kuwait, and Qatar. Demographic characteristics, clinical profiles, and laboratory measures were extracted from participants' medical records. The overall prevalence of one or more microvascular complications (MC) was 34.9% and did not vary by country: 35.0% in Bahrain, 32.6% in Kuwait and 37.3% in Qatar (p=0.427). The prevalence of MC was 38.9% in participants with eASCVD and 37.3% in those with ASCVD risk. The prevalence of retinopathy and neuropathy was significantly higher in participants with hypertension and dyslipidemia (p<0.05).

Conclusion: Microvascular complications are common in individuals with T2D in the Gulf region and are associated with hypertension and dyslipidemia and those at high risk of ASCVD.

Keywords: Type 2 Diabetes; Cardiovascular Disease; Atherosclerotic Cardiovascular Disease; Microvascular Complications; Middle East; Gulf Region; Observational Study

Introduction

Limiting the development and progression of microvascular complications in individuals with Type 2 Diabetes (T2D) is a key goal in diabetes management [1,2]. Prolonged hyperglycemia leads to diabetic nephropathy, retinopathy, and neuropathy, impacting both quality of life and overall life expectancy [3,4]. Microvascular complications start in individuals with impaired fasting glucose and impaired glucose tolerance [5,6] and can result in blindness, amputation, and end-stage kidney disease, with higher healthcare utilization and costs in those with T2D [4-10].

There is an established link between microvascular and macrovascular complications, including coronary artery disease, stroke, heart failure, and atherosclerotic cardiovascular disease (ASCVD) in T2D [11]. Hyperglycemia may act as a common factor in the pathogenesis of both microvascular and macrovascular complications [12]. In a large population-based analysis of patients with T2D from the UK Clinical Practice Research Datalink, the cumulative burden of microvascular complications linearly increased the risk of cardiovascular events [13]. Bartman et al., 2017 showed that the carotid plaque score—a marker for quantifying atherosclerotic plaque burden-was independently associated with retinopathy, neuropathy, and nephropathy in individuals with T2D [14].

Obesity, hypertension, hyperglycemia, and metabolic syndrome increase the risk of developing ASCVD and the risk of heart attack and stroke [15-17]. These risk factors are also closely linked to the development of microangiopathy [18]. Indeed, progression of diabetic retinopathy was associated with a 718% increased risk of ASCVD [19,20]. In a study from Saudi Arabia, the prevalence of diabetic peripheral neuropathy was significantly higher in participants with cardiovascular disease [21]. Improvements in weight, blood glucose, and cardiovascular risk factors have been shown to reduce the incidence of microvascular complications. Thus, the effective management of these ASCVD risk factors may help prevent the progression of microvascular complications and ASCVD in individuals with T2D [22,23].

The Middle East Africa (MEA) Region faces a disproportionate burden of obesity, metabolic syndrome and diabetes, a trend that is expected to worsen in the coming years [24,25]. The Prevalence of Diabetes and Cardiovascular Risk in the Middle East and Africa (PACT-MEA) study found that as many as one in five individuals with T2D in the region has established ASCVD [26]. There is limited data on the prevalence of microvascular complications in this region [24,25]. We have undertaken additional analysis of data from the PACT-MEA study to address this knowledge gap. Our study aims to determine the prevalence of microvascular complications and their relationship with ASCVD in individuals with T2D in Bahrain, Kuwait, and Qatar.

Methods

Study design and objectives

PACT-MEA is a non-interventional, cross-sectional, observational study conducted at 55 centers across seven countries to determine the prevalence of established ASCVD (eASCVD) or high ASCVD risk among participants with T2D in a real-world clinical setting [26]. The overall study sample included 3726 participants from Bahrain (n=366), Egypt (n=550), Jordan (n=576), Kuwait (n=350), Qatar (n=346), South Africa (n=996), and the United Arab Emirates (n=542). The present sub-analysis of the PACT-MEA study draws on data from 1062 participants from Bahrain, Kuwait, and Qatar.

 The criteria for identifying eASCVD in study participants include prior diagnosis of coronary artery disease, cerebrovascular disease, or peripheral arterial disease [15,27-29]. High ASCVD risk among participants without eASCVD is defined as patients with T2D duration > 10 years; the presence of target organ damage (retinopathy, neuropathy, nephropathy, left ventricular hypertrophy) [27,28]; or multiple risk factors including age ≥ 55 years [15], current smoker, hypertension (blood pressure ≥ 140/90; antihypertensive therapy or has a history of hypertension), dyslipidemia (LDL ≥ 1.8 mmol/l, statin therapy or history of dyslipidemia), obesity (BMI ≥ 30) [27,28]. 

Participant recruitment and study setting

Participants were recruited during scheduled clinic visits at 13 centers (primary and secondary care facilities) across the three countries between March and August 2022. Novo Nordisk representatives, national experts (part of the steering committee), and the Contract Research Organization (CRO) created a list of primary and secondary care facilities. The split between care settings was determined at the individual country level based on local treatment dynamics. The study investigators were physicians managing T2D in routine clinical practice and were selected from primary care (general practitioners, family medicine physicians) and secondary care (endocrinologists, diabetologists, cardiologists, internal medicine) settings. Inclusion criteria: Male or female, age ≥ 18 years, diagnosed with T2D ≥ 180 days. Exclusion criteria: Mental incapacity, unwillingness, inability, or language barriers precluding adequate understanding or cooperation; type 1 diabetes mellitus (T1D); congenital heart disease/malformation.

Data collection and outcomes

Participant demographic information, medical history, and laboratory data were obtained from a medical chart review of data recorded in the medical records. The presence of microvascular complications was recorded from the medical history as yes, no, or unknown. The physician or a delegate entered individual patient data into an electronic Case Report Form (eCRF) during the patient's routine clinical visit (and study inclusion). A CRO managed the eCRF platform for the collection of patient data. Encryption was used to protect the identity of patients when transmitting data.

Statistical analysis

Descriptive statistics, with mean and Standard Deviation (SD) for continuous variables and frequencies and proportions (in percentages) with corresponding 95% Confidence Intervals (CIs) for categorical variables, were used to describe the study population's demographic, clinical, and laboratory characteristics. Data were stratified by the presence of ASCVD and the risk thereof. Chi-squared tests were used to compare proportions, with statistical significance considered at p-value < 0.05. Analyses were conducted using complete cases only without imputation of missing data, as the frequency of missing data was minimal across most of the key demographic and clinical variables and unlikely to affect the precision of estimates or introduce bias. Missing laboratory data were reported. Analyses were conducted using SPSS (version 23) [30] and Stata (version 16.1) [31].

Ethics

The local Institutional Review Board (IRB)/Ethics reviewed and approved the study protocol and informed consent form. Approval was obtained from the Kuwait Ministry of Health (regulatory number: 1257, approved on 9 June 2022). In Bahrain, the Mohammed Bin Khalifa Bin Sulman Khalifa Cardiac Center ethics committee (IRB number: CTD-Ij-2022-0085/approved on 8 May 2022), the Research Committee for Government Hospitals (IRB number: 45090522/approved 9 May 2022), the Bahrain Defence Force Hospital IRB (IRB number 2022-667/approved on 6 April 2022) and the IRB for King Hamad University Hospital (IRB number: 22-508/approved on 9 May 2022) issued ethics approval. In Qatar, Weill Cornell Medicine – Qatar IRB (IRB number: 22-0007/approved on 1 June 2022) and Hamad Medical Corporation IRB (IRB number: MRC-02-22-374/approved on 30 June 2022) issued ethics approvals.

Informed consent was obtained prior to any study-related activities. The study was conducted in accordance with the Declaration of Helsinki—Ethical Principles for Medical Research Involving Human Patients [32] and Guidelines for Good Pharmacoepidemiology Practices (GPP) [33]. It followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) [34] reporting guidelines.

Results

Study population

The study recruited 1062 adults diagnosed with T2D in Bahrain, Qatar, and Kuwait from primary care (n=202) and secondary care (n=860), depending on the country setting. The average age of the study participants was 57.9 years (SD=11.3), comprising 53.5% males and 46.5% females. The mean duration of T2D was 13.3 years (SD=8.9), and the mean glycated hemoglobin (HbA1C) was 7.9% (SD=1.9). The estimated prevalence of eASCVD in the study population across the three Gulf Region countries was 26.6% (unweighted %) (Table 1), with the highest prevalence in Bahrain (36.6%) and lowest in Kuwait (19.4%). Around two-thirds (65.8%) of the entire study sample were at high risk of ASCVD (Table 1).

Characteristics

Overall sample of participants (n=1062)

Age, years. Mean (SD)

57.9 (11.3)

Sex

Male, %

53.5%

Age, years, mean (SD)

56.7 (11.6)

Female, %

46.5%

Age, years, mean (SD)

58.9 (10.4)

T2D duration, years, mean (SD)

13.3 (8.9)

HbA1C, %, mean (SD), and mmol/mol

7.9 (1.9), 63

Risk factors (%)*

Obesity

50.7%

Hypertension

67.1%

Dyslipidemia

81.6%

Current smoking

12.2%

Prevalence of eASCVD (%)

26.6%

High risk of ASCVD (%)

65.8%

a HbA1c (Hemoglobin A1C) < 7.0% (53 mmol/mol) is the recommended target in the 2021 European Society of Cardiology (ESC) Guideline on cardiovascular disease prevention in clinical practice[1].

*Regarding risk factors included obesity (BMI ≥ 30 kg/m2; BMI was measured in kg/m2, and the categories were assigned according to the World Health Organization classification of obesity [35]), hypertension (at least one of the following: BP over 140 or 90, antihypertensive therapy, history of hypertension), dyslipidemia (at least one of the following: LDL ≥ 1.8 mmol/L, statin therapy, history of dyslipidemia), and current smoking.

Unweighted prevalence (%) of eASCVD within the overall T2D study population (weighted, %).

Abbreviations: eASCVD, established atherosclerotic cardiovascular disease; HbA1C, glycated hemoglobin; LDL, low-density lipoprotein; SD, standard deviation; T2D, type 2 diabetes.

Table 1: Study Population Characteristics

Prevalence of microvascular complications and relationship with the presence or risk of ASCVD

Microvascular complications were present in 34.9%, n=371 of the total study participants (Table 2). The prevalence of complications was comparable by country (p=0.427): 35.0% (95% CI: 30.1 – 40.1) in Bahrain, 32.6% (95% CI: 27.7 – 37.8) in Kuwait and 37.3% (95% CI: 32.2 – 42.6) in Qatar (Table 2). Approximately one-quarter (27%) of the participants (n=65/242) had an albumin-to-creatinine ratio (ACR) between 30–300 mg/g, indicative of microalbuminuria. Ten percent of the participants (25/243) had an ACR above 300 mg/g, indicating macroalbuminuria. The prevalence of microvascular complications was 37.3% (95% CI: 33.7–41.0) in participants at high risk of ASCVD and 38.9% (95% CI: 33.2–44.8) in those with eASCVD.

 

Characteristics

Prevalence of microvascular complications, % (95% CI)

p value#

All participants (n=1062)

34.9% (32.1 – 37.9)

Country (n=1062)

Bahrain (n=366)

35.0% (30.1 – 40.1)

 

0.427

Kuwait (n=350)

32.6% (27.7 – 37.8)

Qatar (n=346)

37.3% (32.2 – 42.6)

With eASCVD (n=283)

38.9% (33.2 – 44.8)

With high risk of ASCVD (n=699)

37.3% (33.7 – 41.0)

#Chi-squared test of proportions

Table 2: Prevalence of one or more microvascular complications by country, eASCVD status, and ASCVD risk profile.

The presence of retinopathy, neuropathy, and nephropathy was 18.7% (n=198), 17.4% (n=185) and 14.9% (n=158), respectively. Among participants with eASCVD, retinopathy was the most common microvascular complication, at 23.0% (n=75), followed by nephropathy at 22.3% (n=63) and neuropathy at 20.8% (n=59). Among participants at high risk of ASCVD (n=699), retinopathy was also the leading complication at 19.0% (n=133), followed by neuropathy at 18.0% (n=126) and nephropathy at 13.6% (n=95) (Figure 1).

 

Figure 1: The prevalence of retinopathy, neuropathy, and nephropathy across the three Gulf Region countries among study participants with T2D, eASCVD, at high risk for ASCVD or without ASCVD or risk (%) T2D (Type 2 Diabetes), eASCVD (established atherosclerotic cardiovascular disease), ASCVD (atherosclerotic cardiovascular disease)

 In individuals with hypertension compared to those without hypertension, the prevalence of retinopathy (p<0.001), neuropathy (p=0.001) and nephropathy (p<0.001) was significantly higher. In individuals with dyslipidemia compared to those without, the prevalence of retinopathy (p=0.03) and neuropathy (p=0.005) were significantly higher, but with no difference in the prevalence of nephropathy (p=0.142). There was no difference in the prevalence of retinopathy, neuropathy, and nephropathy between those with and without obesity (p>0.05). In current smokers compared to non-smokers, the prevalence of retinopathy (p=0.036) was lower, but with no difference in the prevalence of neuropathy or nephropathy (p>0.05) (Table 3) 

Risk factor

Retinopathy, % (95% CI)

p value#

Neuropathy, % (95% CI)

p value#

Nephropathy, % (95% CI)

p value#

Obesity (n=1003)

Yes (n=540)

20.6%

(17.2 – 24.2)

0.261

19.3%

(16.0 – 22.8)

0.281

15.4%

(12.4 – 18.7)

0.382

No (n=463)

17.7%

(14.3 – 21.5)

16.6%

(13.4 – 20.3)

13.4%

(10.4 – 16.8)

Hypertension (n=1043)

Yes (712)

22.6%

(19.6 – 25.9)

<0.001

20.2%

(17.3 – 23.4)

0.001

19.0%

(16.1 – 22.0)

<0.001

No (331)

10.9%

(7.7 – 14.7)

12.1% (8.7 – 16.1)

6.3%

(4.0 – 9.5)

Dyslipidemia (n=1058)

Yes (867)

19.8%

(17.2 – 22.7)

0.030

18.9%

(16.4 – 21.7)

0.005

15.7%

(13.3 – 18.3)

0.142

No (191)

13.1%

(8.7 – 18.7)

10.5%

(6.5 – 15.7)

11.5%

(7.4 – 16.9)

Current smoking (n=1013)

Yes (n=130)

12.3%

(7.2 – 19.2)

0.036

13.8%

(8.4 – 21.0)

0.171

13.8%

(8.4 – 21.0)

0.618

No (n=883)

20.0%

(17.5 – 22.8)

18.8%

(16.3 – 21.5)

15.5%

(13.2 – 18.1)

#Chi-squared test of proportions

Table 3: Prevalence of microvascular complications in relation to obesity, hypertension, dyslipidemia, and smoking status.

Discussion

One-third of participants (34.9%) had one or more microvascular complications in this PACT-MEA study sub-analysis. Previous studies have shown the significant burden of microvascular complications in the region [36-41]. The international, open-label A1chieve study reported a microvascular complications prevalence of 65.8% in the Middle East and Africa (MEA) region [37]. In a study from Saudi Arabia, 55.1% of participants had microvascular complications [36], while in a study in Qatar, the prevalence of one or more microvascular complications was 48.4% [42].

Across the three countries, 17.4% of participants had neuropathy, 18.7% had retinopathy, and 14.9% had nephropathy, which aligns with data from the PACT-MEA study of 3726 individuals across seven countries, which reported rates of 14% for retinopathy, 25% for neuropathy, and 15% for nephropathy [26]. In a previous study, we showed that diabetic neuropathy affected 23.9% of individuals with T2D in Qatar, of whom 82.3% had not been previously diagnosed [43]. Underdiagnosis was also reported in a study from Qatar, Kuwait, and Saudi Arabia, where diabetic neuropathy affected 33.3% of individuals with T2D, and 53.6% of participants with diabetic neuropathy had not been previously diagnosed [44]. Our study relied on information from participants' medical records and from the patient as requested by the physician, which may partly explain the lower prevalence of neuropathy in our current study.

Endothelial dysfunction, chronic inflammation, and hyperglycemia underlie both microvascular and macrovascular complications in T2D [45]. In our study, two-thirds of participants were classified as high risk for ASCVD, and 37.3% were estimated to have microvascular complications. Approximately one in four participants in our study had eASCVD, and 38.9% of these individuals had microvascular complications, supporting the strong association between microvascular complications and ASCVD [45].

Obesity, dyslipidemia, and hypertension were highly prevalent among the participants in this study. The significantly higher prevalence of microvascular complications in participants with hypertension, along with the increased prevalence of retinopathy and neuropathy in those with dyslipidemia, highlights a potential link between macrovascular risk factors and microvascular complications. In the DISCOVER MEA, a three-year observational study, both microvascular and macrovascular complications were significantly associated with older age, male sex, current or former smoking, and history of hyperlipidemia and hypertension [39]. Similarly, in the A1chieve study, multivariate analysis identified age, BMI, diabetes duration, total cholesterol, triglycerides, and systolic blood pressure as key factors associated with microvascular and macrovascular complications [37]. Indeed, the presence of these risk factors collectively increases the likelihood of adverse cardiovascular events, such as myocardial infarction, stroke, and peripheral artery disease, contributing to T2D [46-48].

 Around 12% of participants in this study reported being current smokers, and surprisingly, we found that current smoking was linked to a lower prevalence of retinopathy. Separately, a meta-analysis showed that smoking increased retinopathy risk in type 1 diabetes but decreased it in T2D [49]. Indeed, the United Kingdom Prospective Diabetes Study (UKPDS) also identified current smokers with T2D as having a lower risk of retinopathy [50]. However, other studies have shown that smoking is strongly associated with retinopathy progression in T2D [51,52], although Moss et al., 1991 [53] reported no significant risk between diabetic retinopathy and smoking [53]. The relationship between tobacco use and retinopathy is complex [49]. One hypothesis suggests that a smoking-related reduction in blood pressure may influence retinopathy risk [49]. Overall, the link between smoking and retinopathy remains inconclusive, and further research is needed to better understand these interactions.

Our study observed a significant burden of microvascular complications and an association with ASCVD and risk factors for ASCVD in the Gulf region. Current guidelines recommend assertive management of cardiovascular risk factors in individuals with T2D, including lifestyle modifications, lowering LDL cholesterol and blood pressure, and using cardioprotective glucose-lowering agents [48,54,55].  However, the uptake of these medications remains low across the region, possibly due to insufficient awareness of their potential cardioprotective benefits [15,56,57]. Early intervention and effective management of cardiovascular modifiable risk factors could effectively impact the microvascular and macrovascular complications of T2D [45,58].

Study strengths and limitations

This study adds to the limited knowledge of microvascular complications in the Gulf Region and provides important insights into the relationship between microvascular complications and ASCVD in individuals with T2D. These findings may contribute to informing strategies for screening, mitigating, and managing microvascular and macrovascular complications in the Gulf Region.

The study's limitations include its cross-sectional and retrospective design, making it infeasible to establish any causal relationship between the occurrence of microvascular complications and risk factors in the study sample. Another limitation is that data on microvascular complications were derived from medical charts without any formal screening or validation measure. While the occurrence of missing data was minimal across most of the demographic and clinical variables, missing laboratory data may potentially limit the precision of associated estimates. Lastly, sampling participants within healthcare settings may have been prone to selection bias and may limit the generalizability of findings to populations with limited access to healthcare services.

Conclusion

The study has revealed that microvascular complications are prevalent among individuals with T2D across the Gulf region. The findings highlight the association between traditional macrovascular risk factors and microvascular complications. Understanding the burden of these complications and their link to ASCVD may encourage more targeted screening and management of microvascular complications and ASCVD in individuals with T2D in the Gulf region.

Authors contributions

All authors participated in the study design and take complete responsibility for the integrity of the information provided. All authors participated in the writing, reviewing, and editing of the manuscript and approved the final version of the manuscript for publication.

Acknowledgments

Last Mile P/S provided editorial writing support funded by Novo Nordisk.

Funding information

Novo Nordisk funded the study.

Conflict of interest

TE received honoraria from Novo Nordisk as a speaker. Novo Nordisk provided research support and funding to FA and has funded travel expenses for FA. FA is a Novo Nordisk Speakers Bureau member and serves on an Advisory board for Abbott. GS, AS, and UA are Novo Nordisk employees. No other authors have interests to declare.

Data availability statement

Data are available upon reasonable request.

References

  1. Visseren FL, Mach F, Smulders YM, Carballo D, Koskinas KC, et al. (2021) 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice: Developed by the Task Force for cardiovascular disease prevention in clinical practice with representatives of the European Society of Cardiology and 12 medical societies with the special contribution of the European Association of Preventive Cardiology (EAPC). Eur Heart J 42: 3227-3337.
  2. Marx N, Federici M, Schütt K, Müller-Wieland D, Ramzi A Ajjanet RA, al. (2023) 2023 ESC Guidelines for the management of cardiovascular disease in patients with diabetes. Eur Heart J 44: 4043-4140.
  3. Faselis C, Katsimardou A, Imprialos K, Deligkaris P, Kallistratos M, et al. (2020) Microvascular Complications of Type 2 Diabetes Mellitus. Curr Vasc Pharmacol 18: 117-124.
  4. Chawla A, Chawla R, Jaggi S (2016) Microvasular and macrovascular complications in diabetes mellitus: Distinct or continuum?. Indian J Endocrinol Metab 20: 546-51.
  5. Kirthi V, Perumbalath A, Brown E, Nevitt S, Petropoulos IN, et al. (2021) Prevalence of peripheral neuropathy in pre-diabetes: a systematic review. BMJ Open Diabetes Res Care 9: e002040.
  6. Kirthi V, Nderitu P, Alam U, Evans JR, Nevitt S, et al. (2022) The prevalence of retinopathy in prediabetes: A systematic review. Survey of ophthalmology 67: 1332-1345.
  7. Bansal D, Gudala K, Esam HP, Nayakallu R, Vyamusani RV, et al. (2014) Microvascular Complications and Their Associated Risk Factors in Newly Diagnosed Type 2 Diabetes Mellitus Patients. Int J Chronic Dis 2014: 201423.
  8. Zhang L, Long J, Jiang W, Shi Y, He X, et al. (2016) Trends in Chronic Kidney Disease in China. N Engl J Med 375: 905-906.
  9. Abdul-Ghani M, DeFronzo RA, Jayyousi A (2016) Prediabetes and risk of diabetes and associated complications: impaired fasting glucose versus impaired glucose tolerance: does it matter? Curr Opin Clin Nutr Metab Care 19: 394-399.
  10. Visaria J, Iyer NN, Raval AD, Kong SX, Hobbs T, et al. (2020) Healthcare Costs of Diabetes and Microvascular and Macrovascular Disease in Individuals with Incident Type 2 Diabetes Mellitus: A Ten-Year Longitudinal Study. ClinicoEconomics and outcomes research: CEOR 12: 423-434.
  11. Yen FS, Wei JC, Shih YH, Hsu CC, Hwu CM (2023) Impact of individual microvascular disease on the risks of macrovascular complications in type 2 diabetes: a nationwide population-based cohort study. Cardiovascular diabetology 22: 109.
  12. Brownlee M (2005) The pathobiology of diabetic complications: a unifying mechanism. Diabetes 54: 1615-1625.
  13. Brownrigg JR, Hughes CO, Burleigh D, Karthikesalingam A, Patterson BO,et al. (2016) Microvascular disease and risk of cardiovascular events among individuals with type 2 diabetes: a population-level cohort study. The lancet Diabetes & endocrinology 4: 588-597.
  14. Bartman W, Nabrdalik K, Kwiendacz H, Sawczyn T, Tomasik A, et al. (2017) Association between carotid plaque score and microvascular complications of type 2 diabetes. Pol Arch Intern Med 127: 418-422.
  15. Mosenzon O, Alguwaihes A, Leon JLA, Bayram F, Darmon P, et al. (2021) CAPTURE: a multinational, cross-sectional study of cardiovascular disease prevalence in adults with type 2 diabetes across 13 countries. Cardiovascular diabetology 20: 1-13.
  16. Wang CCL, Hess CN, Hiatt WR, Goldfine AB (2016) Atherosclerotic cardiovascular disease and heart failure in type 2 diabetes–mechanisms, management, and clinical considerations. Circulation 133: 2459-2502.
  17. Echouffo-Tcheugui JB, Xu H, Matsouaka RA, Xian Y, Schwammet LK, et al. (2018) Diabetes and long-term outcomes of ischaemic stroke: findings from Get With The Guidelines-Stroke. European heart journal 39: 2376-2386.
  18. Li L, Gao J, Rao X, Liu X (2024) Relationship between atherosclerotic cardiovascular disease and diabetic retinopathy in patients with type 2 diabetes mellitus. Medicine 103: e38051.
  19. Branch M, German C, Bertoni A, Yeboah J (2019) Incremental risk of cardiovascular disease and/or chronic kidney disease for future ASCVD and mortality in patients with type 2 diabetes mellitus: ACCORD trial. J Diabetes Complications 33: 468-472.
  20. American Diabetes Association (2019) 10. Cardiovascular Disease and Risk Management: Standards of Medical Care in Diabetes-2019. Diabetes care 42: S103-s123.
  21. AlGhamdi G, Saati H, Almotairi E, Alsofiani BS, Kinsara AJ (2020) Peripheral Neuropathy as a Risk Factor for Developing Cardiovascular Disease in Diabetic Patients. Cureus 12: e11922.
  22. UKPDS. United Kingdom Prospective Diabetes Study (UKPDS) (1995) 13: Relative efficacy of randomly allocated diet, sulphonylurea, insulin, or metformin in patients with newly diagnosed non-insulin dependent diabetes followed for three years. BMJ (Clinical research ed)  310: 83-88.
  23. Adam S, Azmi S, Ho JH, Liu Y, Ferdousiet M, al. (2021) Improvements in Diabetic Neuropathy and Nephropathy After Bariatric Surgery: a Prospective Cohort Study. Obes Surg 31: 554-563.
  24.  International Diabetes Federation (IDF) (2021) IDF Diabetes Atlas 10th ed. 2021.
  25. World Health Organization (2022)  Noncommunicable diseases country profiles 2018.
  26. Verma S, Alamuddin N, Alawadi F, Alkandari H, Almahmeed W, et al. (2023) Prevalence of Diabetes and Cardiovascular Risk in the Middle East and Africa: Primary Results of the PACT-MEA Study. Circulation 147: 1251-1255.
  27. Das SR, Everett BM, Birtcher KK, Brown JM, Januzzi Jr JL, et al. (2020) 2020 expert consensus decision pathway on novel therapies for cardiovascular risk reduction in patients with type 2 diabetes: a report of the American College of Cardiology Solution Set Oversight Committee. Journal of the American College of Cardiology 76: 1117-1145.
  28. Grundy SM, Stone NJ, Bailey AL, et al. (2019) 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of blood cholesterol: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Journal of the American College of Cardiology 73: e285-e350.
  29. Aboyans V, Ricco J-B, Bartelink M-L, Björck M, Brodmannet M, al. (2017) 2017 ESC guidelines on the diagnosis and treatment of peripheral arterial diseases, in collaboration with the European Society for Vascular Surgery (ESVS). Kardiologia Polska (Polish Heart Journal) 75: 1065-1160.
  30. IBM Corp (2015) IBM SPSS statistics for windows, version 23.0. Armonk, NY: IBM Corp.
  31. StataCorp (2015) Stata Statistical Software: Release 14. College Station, TX: StataCorp LP.
  32. World Medical Association (2013) Declaration of Helsinki-Ethical Principles for Medical Research Involving Human Participants. The 75th WMA General Assembly. Helsinki, Finland 2024.
  33. International Society for Pharmacoepidemiology (ISPE) (2016) Guidelines for good pharmacoepidemiology practices (GPP). pharmacoepidemiology and drug safety 17: 200-208.
  34. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, et al. (2014) The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. Int J Surg 12: 1495–1499.
  35. World Health Organization. International Classification of Diseases (ICD-11) for Mortality and Morbidity Statistics.
  36. Alnaim MM, Alrsaheed A, Alkhateeb AA, Aljaafari MM, Alismail A (2023) Prevalence of microvascular complications among patients with type 2 diabetes mellitus who visited diabetes clinics in Saudi Arabia. Saudi Med J 44: v211-217.
  37. Litwak L, Goh SY, Hussein Z, Malek R, Prusty V, Khamseh ME (2013) Prevalence of diabetes complications in people with type 2 diabetes mellitus and its association with baseline characteristics in the multinational A1chieve study. Diabetology & metabolic syndrome 5: 57.
  38. Levitt NS, Bradshaw D, Zwarenstein MF, Bawa AA, Maphumolo S (1997) Audit of public sector primary diabetes care in Cape Town, South Africa: high prevalence of complications, uncontrolled hyperglycaemia, and hypertension. Diabetic medicine: a journal of the British Diabetic Association. Dec 14: 1073-1037.
  39. Hafidh K, Malek R, Al-Rubeaan K, Kok A, Bayram F, et al. (2022) Prevalence and risk factors of vascular complications in type 2 diabetes mellitus: Results from discover Middle East and Africa cohort. Front Endocrinol (Lausanne) 13: 940309.
  40. Al-Rubeaan K, Abu El-Asrar AM, Youssef AM, Subhani SN, Ahmad NA, et al. (2015) Diabetic retinopathy and its risk factors in a society with a type 2 diabetes epidemic: a Saudi National Diabetes Registry-based study. Acta Ophthalmol. Mar 93: e140-147.
  41. Omar MS, Khudada K, Safarini S, Mehanna S, Nafach J (2016) DiabCare survey of diabetes management and complications in the Gulf countries. Indian journal of endocrinology and metabolism. 20: 219-27.
  42. Cheema S, Maisonneuve P, Zirie M, Jayyousi A, Alrouh H, et al. (2018) Risk Factors for Microvascular Complications of Diabetes in a High-Risk Middle East Population. Journal of diabetes research 2018: 8964027.
  43. Ponirakis G, Elhadd T, Chinnaiyan S, Dabbous Z, Siddiqui M, et al. (2020) Prevalence and management of diabetic neuropathy in secondary care in Qatar. Diabetes Metab Res Rev 36: e3286.
  44. Ponirakis G, Elhadd T, Al Ozairi E, Brema I, Chinnaiyanet S, et al. (2020) Prevalence and risk factors for diabetic peripheral neuropathy, neuropathic pain and foot ulceration in the Persian Gulf region. Journal of diabetes investigation. 13: 1551-1559.
  45. Zakir M, Ahuja N, Surksha MA, Sachdev R, Kalariya Y, et al. (2023) Cardiovascular Complications of Diabetes: From Microvascular to Macrovascular Pathways. Cureus 15: e45835.
  46. American Diabetes Association Professional Practice C (2022) 10. Cardiovascular Disease and Risk Management: Standards of Medical Care in Diabetes-2022. Diabetes care 45: S144-S174.
  47. Joseph JJ, Deedwania P, Acharya T, Aguilar D, Bhattet DL, et al. (2022) Comprehensive Management of Cardiovascular Risk Factors for Adults With Type 2 Diabetes: A Scientific Statement From the American Heart Association. Circulation 145: e722-e759.
  48. Marx N, Federici M, Schütt K, Müller-Wieland D, Ajjanet RA, et al. (2023) 2023 ESC Guidelines for the management of cardiovascular disease in patients with diabetes: Developed by the task force on the management of cardiovascular disease in patients with diabetes of the European Society of Cardiology (ESC). European heart journal 44: 4043-4140.
  49. Cai X, Chen Y, Yang W, Gao X, Han X, Ji L (2018) The association of smoking and risk of diabetic retinopathy in patients with type 1 and type 2 diabetes: a meta-analysis. Endocrine 62: 299-306.
  50. Stratton IM, Kohner EM, Aldington SJ, Turner RC, Holman RR, et al. (2001) UKPDS 50: risk factors for incidence and progression of retinopathy in Type II diabetes over 6 years from diagnosis. Diabetologia 44: 156-163.
  51. Tam VH, Lam EP, Chu BC, Tse KK, Fung LM (2009) Incidence and progression of diabetic retinopathy in Hong Kong Chinese with type 2 diabetes mellitus. J Diabetes Complications 23: 185-193.
  52. Omae T, Nagaoka T, Yoshida A (2016) Effects of Habitual Cigarette Smoking on Retinal Circulation in Patients with Type 2 Diabetes. Investigative Ophthalmology & Visual Science 57: 1345-1351.
  53. Moss SE, Klein R, Klein BE (1991) Association of cigarette smoking with diabetic retinopathy. Diabetes Care 14: 119-26.
  54. American Diabetes Association Professional Practice C (2023) Summary of Revisions: Standards of Care in Diabetes-2024. Diabetes care 47: S5-S10.
  55. Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldbergeret ZD, et al. (2019) 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 74: e177-e232.
  56. Ahmed HM, Khraishah H, Cho L (2018) Cardioprotective anti-hyperglycaemic medications: a review of clinical trials. European heart journal 39: 2368-2375.
  57. Al-Rubeaan K, Alsayed M, Ben-Nakhi A,Bayram F, Echtayet A, et al. (2022) 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. Diabetes therapy : research, treatment and education of diabetes and related disorders 13: 1339-1352.
  58. Namazi N, Moghaddam SS, Esmaeili S, Peimani M, Sharifnejad Tehrani Y, et al. (2024) Burden of type 2 diabetes mellitus and its risk factors in North Africa and the Middle East, 1990–2019: findings from the Global Burden of Disease study 2019. BMC Public Health 24: 98.

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