IPM Take
This study should make cardiovascular prevention uncomfortable. It shows that even within one country, women’s premature coronary risk does not follow a single script. In Iranian women, some ethnic groups showed stronger signals for hypertension and diabetes, others for triglycerides or family history. But the deeper message is political: prevention models built around average populations can miss women who do not fit the average. Precision public health must mean more than genomics and AI. It must also mean sex-specific, ethnicity-informed, socially aware prevention.
Executive Summary
A new Cureus study analysed data from the Iran Premature Coronary Artery Disease, or IPAD, study to examine cardiometabolic risk factors among Iranian women across eight ethnic groups. The analysis included 1,609 women aged 70 years or younger who underwent coronary angiography: 789 with angiographically confirmed premature coronary artery disease and 820 controls with normal coronary arteries.
The study found that traditional cardiometabolic risk factors were associated with premature coronary artery disease among Iranian women, but the pattern differed across ethnic groups. Among Fars women, hypertension, diabetes, low HDL-C and family history of cardiovascular disease remained significantly associated with higher odds of premature coronary artery disease after adjustment for age and socioeconomic status. Among Arab women, hypertension and diabetes showed significant adjusted associations, although the estimates were imprecise because of small sample size. Among Gilak women, hypertriglyceridemia remained statistically significant in the fully adjusted model, but the result was borderline and should be interpreted cautiously. Among Kurd and Bakhtiari women, family history of cardiovascular disease was the strongest signal.
Low HDL-C was highly prevalent across the study population, affecting many women in both case and control groups. This may have reduced the observable case-control difference despite the biological relevance of dyslipidemia.
The authors are careful about limitations. This was a case-control study, not a prospective population study. Both cases and controls were recruited among women undergoing clinically indicated angiography, which means controls were not necessarily healthy community controls. The study extended the usual women’s premature coronary artery disease age threshold from 65 to 70 years, consistent with the IPAD protocol, but this may complicate comparison with standard definitions. Some ethnic subgroups were small, no formal ethnicity interaction tests were performed, and the findings should be treated as hypothesis-generating.
Even with these caveats, the policy message is important. Women from ethnically diverse low- and middle-income settings remain underrepresented in cardiovascular research. Risk prediction, screening and prevention pathways cannot rely only on imported models or generic risk categories. They need local evidence, local validation and culturally adapted implementation.
Why it matters
- Policymakers and public authorities: National cardiovascular prevention strategies should not assume that one risk profile fits all women. Ethnicity, geography, socioeconomic status and access to care shape how risk appears and how prevention should be delivered.
- Clinicians and primary care providers: Premature coronary disease in women can be under-recognised. Hypertension, diabetes, dyslipidemia and family history should trigger earlier and more proactive risk assessment, especially in women who may not be perceived as “typical” coronary patients.
- Payers and HTA bodies: Coverage decisions should support earlier screening, lipid testing, diabetes care, hypertension control and culturally adapted prevention, not only treatment after angiographic disease is established.
- Data and AI leaders: Risk algorithms trained on broad or Western-dominant datasets may misestimate risk in underrepresented populations. Local datasets and subgroup validation are not optional technical details.
- Patients and advocates: Women’s heart disease is still too often diagnosed late. The study strengthens the case for awareness, earlier testing and prevention strategies that reflect real women’s lives, not textbook averages.
Premature coronary disease in women is still too easy to miss.
Not because the risk factors are mysterious. Hypertension, diabetes, dyslipidemia, obesity and family history are familiar. The problem is that health systems keep pretending that familiar risk factors behave the same way in every woman, in every community, in every country.
The new IPAD analysis from Iran challenges that assumption.
The study examined 1,609 Iranian women aged 70 years or younger who underwent coronary angiography. Of these, 789 had angiographically confirmed premature coronary artery disease, while 820 had normal coronary arteries and served as controls. The women came from eight ethnic groups: Fars, Azari, Gilak, Kurd, Arab, Lor, Qashqaei and Bakhtiari.
The headline finding is simple, but important: traditional cardiometabolic risk factors mattered, but not in the same way across groups.
Among Fars women, hypertension, diabetes, low HDL-C and family history of cardiovascular disease remained significantly associated with premature coronary artery disease after adjustment for age and socioeconomic status. Among Arab women, hypertension and diabetes were the dominant signals, although small numbers mean the estimates must be read with caution. Among Gilak women, hypertriglyceridemia was the lipid signal that remained statistically significant in the fully adjusted model, but only borderline. Among Kurd and Bakhtiari women, family history of cardiovascular disease stood out.
That does not mean ethnicity should be treated as a biological label.
The authors explicitly frame ethnicity as a social and cultural construct shaped by language, geography, diet, lifestyle and shared environment, not as a fixed genetic explanation. That distinction matters. The policy risk is that findings like these are misused to essentialise populations. The policy opportunity is the opposite: to design prevention around real-world context.
Women do not experience cardiovascular risk in a vacuum.
Risk is shaped by food systems, household roles, income, education, physical activity opportunities, reproductive history, access to primary care, clinician bias, diagnostic suspicion and whether prevention services reach women before symptoms become severe. Ethnicity can capture some of that lived context, imperfectly, but importantly.
The study also exposes the limits of imported cardiovascular risk thinking.
Many risk tools were developed and validated in populations that do not fully represent women from low- and middle-income countries, or ethnically diverse populations within those countries. Iran is not a single-risk environment. A risk model that treats Iranian women as one homogeneous group may miss meaningful variation between regions and communities.
That matters because premature coronary artery disease is not just another diagnosis. It strikes earlier in life, affects families and working-age adults, and can create long-term disability and economic strain. When it occurs in women, it is often complicated by under-recognition, atypical symptoms, delayed diagnosis and less aggressive prevention.
This is where the study becomes politically relevant.
Women’s cardiovascular disease is too often framed as an awareness problem. Awareness matters, but it is not enough. A woman can be aware of heart disease and still face a clinician who underestimates her risk. A doctor can know the guidelines and still lack locally validated tools. A health system can publish prevention targets and still fail to reach women with low education, rural barriers or fragmented care.
The IPAD study shows that prevention needs sharper targeting.
For Fars women in this cohort, diabetes and hypertension were clear signals. That supports aggressive blood pressure and glucose control, not later in life, not after symptoms, but early enough to prevent angiographic disease. For Arab women, the same risk factors appeared dominant, but the sample was small, so the finding should guide further research rather than overconfident policy. For Gilak women, triglycerides deserve attention. For Kurd and Bakhtiari women, family history may be a useful trigger for earlier risk discussion and screening.
But the more important point is that no single factor explains the pattern.
Low HDL-C was extremely common across many groups, affecting both women with premature coronary disease and controls. That makes it less useful as a discriminator in some strata, even though it remains biologically relevant. Smoking prevalence was very low among women in the study, which means prevention strategies copied from settings where smoking is a dominant female risk factor may be poorly targeted. Education levels were low across the cohort, and socioeconomic status was often low, reinforcing the need for prevention that is accessible, understandable and locally delivered.
This is precision medicine in its less glamorous form.
Not gene editing. Not an expensive biomarker panel. Not an AI risk engine sold to hospitals.
Precision here means asking whether the right women are being screened, whether risk thresholds fit the population, whether clinicians recognise female coronary risk, whether prevention programmes are culturally adapted, and whether health data are granular enough to expose who is being missed.
The study also gives a warning to data and AI developers.
AI models built on incomplete, Western-heavy or male-dominant cardiovascular datasets may look accurate on paper while underperforming in populations that were not adequately represented in training or validation. Adding “ethnicity” to a model without understanding social context can also be dangerous. The point is not to turn ethnicity into a crude algorithmic shortcut. The point is to validate tools across real populations and avoid pretending that averages are neutral.
A risk calculator that works for the majority but misses minority women is not objective. It is incomplete.
The study’s limitations should be taken seriously.
This was not a population-based study. Both cases and controls were women referred for angiography, which means the control group likely included women with symptoms or risk factors that brought them into specialist care. That can reduce the apparent difference between cases and controls. The age limit of 70 years is broader than the conventional threshold for premature coronary artery disease in women, which is usually under 65 years. Some ethnic groups had small sample sizes. The authors did not apply corrections for multiple comparisons and did not conduct formal interaction testing to prove that ethnicity statistically modified risk factor effects.
So this is not the final word.
But it is a strong signal.
It tells policymakers that women’s cardiovascular prevention cannot be built on generic assumptions. It tells clinicians that diabetes, hypertension, triglycerides, HDL-C and family history may carry different practical meaning depending on population context. It tells researchers that ethnically diverse women in low- and middle-income countries must stop being an evidence afterthought.
It also tells public health systems to stop waiting for coronary disease to declare itself in the catheterisation lab.
The better strategy is earlier: blood pressure control before damage, diabetes prevention before vascular disease, lipid management before obstruction, family history before the first event, and risk communication before symptoms are dismissed.
Iran’s IPAD study is local evidence with global relevance.
Every country has its own blind spots. Ethnic minorities, rural communities, migrant women, Indigenous populations, low-income women and women outside major academic centres are often flattened into national averages. The result is predictable. Prevention looks equal in policy documents and unequal in real life.
The future of women’s cardiovascular prevention cannot be average-based.
It has to be specific enough to see who is at risk, early enough to matter, and fair enough to reach women before the system discovers them too late.
