Cardioprotective pharmacotherapy in patients with type 2 diabetes across the Middle East and Africa: the PACT-MEA study
Bibliographic record
Abstract
Abstract Background There is limited information about the management of cardiovascular (CV) risk in patients with type 2 diabetes (T2D) in the Middle East and Africa. For patients with T2D and established atherosclerotic cardiovascular disease (eASCVD) or those at risk for ASCVD, global guidelines recommend the use of antidiabetic medications with proven cardiovascular and kidney benefit (glucagon-like peptide-1 receptor agonists [GLP-1 RAs] and sodium-glucose cotransporter-2 inhibitors [SGLT2is]), in addition to lipid lowering, blood pressure lowering, and antiplatelet therapy, independent of baseline HbA1c or metformin use. Purpose To determine the use of pharmacotherapy among a population of patients with T2D and eASCVD or high/very high ASCVD risk in seven countries across the Middle East and Africa. Methods Adult patients with T2D were enrolled in a cross-sectional, observational study in Bahrain, Egypt, Jordan, Kuwait, Qatar, South Africa, and United Arab Emirates. Pharmacotherapy data extracted from the medical charts of patients during a routine scheduled clinic visit in 2022 were analysed. Descriptive statistics were used to characterize patients with T2D and their glucose-lowering pharmacotherapy use by age, diabetes duration, body mass index, HbA1c, microvascular complications, estimated glomerular filtration rate (eGFR), and urinary albumin to creatinine ratio (UACR). Results Of the 3726 patients in the overall study sample (mean age, 58 ± 12; male, 53%), one in five had eASCVD (21%) and nearly all were classified as being at high (69%)/very high risk (30%, includes eASCVD), according to European Society of Cardiology (ESC) 2021 guidelines. About one-third (36%) of patients were taking SGLT2is (Table 1, range across countries: 20%-64%). Use of SGLT2is was similar across age and BMI but more patients with T2D for ≥10 years (40%) received these medications than those with T2D for <10 years (31%). More males than females were on SGLT2is (40% vs 32%). Use of SGLT2is was also higher among patients with HbA1c ≥7% (42% vs 33%, Table 2). SGLT2i use was similar by eGFR and UACR levels. Few (13%) of the overall sample of patients with T2D received GLP-1 RAs (Table 1, range across countries: 3%-25%), the use of which declined with age. More females than males were taking GLP1-RAs (16% vs 11%). More patients with obesity (BMI ≥30 kg/m2) received GLP-1 RAs than those without obesity (18% vs 8%); use was also higher among patients with eGFR ≥60 (14% vs 9%, Table 2). Conclusions Despite availability of cardio-renal therapy in each of the seven participating countries in the Middle East and Africa, few patients with T2D who had eASCVD or were at high/very high risk for ASCVD received SGLT2is or GLP-1 RAs, as recommended by guidelines. Active prioritization of cardio-renal protective therapies based on CV risk and renal target organ damage should be addressed given the high burden of disease and complications in the region.Table 1Table 2
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".