Study analysis · American Journal of Preventive Cardiology · 2021
This common heart test doesn't work for Black adults — and doctors are still using it.
A blood test that predicts heart attack risk for white people doesn't work for Black people, but a simple inflammation test works for everyone.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
In simple terms
This study watched a bunch of people over many years and noticed that when some health numbers were high, heart problems happened more often — but it didn’t change anything on purpose. So we can say these numbers are linked to heart disease, but we can’t say they cause it.
What’s the bottom line?
Doctors often check a ratio of two fats in the blood to guess heart attack risk, but this study found it only works well for White adults—not Black adults.
How strong is this study?
This study did a really good job tracking lots of people, measuring things carefully, and checking for other reasons why heart disease might happen — like smoking or diabetes. That makes us trust the links it found, but because it didn’t test treatments, we still can’t be sure if fixing the numbers would actually help.
40 / 100
- COI disclosure+40/40
- Data availabilitydata not shared
- Code availabilitycode not shared
56 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=20954)+20/20
- Follow-up+10/10
100 / 100
77 / 100
- P-values+15/15
- Effect size+20/20
- Confidence intervals+15/15
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 567 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. This is an observational cohort study with no randomization or intervention; it can identify associations but cannot rule out confounding factors like lifestyle, diet, or unmeasured variables that may influence both lipid levels and heart disease risk.
No Conflicts
No conflicts of interest identified
No conflicts of interest or funding disclosures were reported in the study text.
The study is based on the REGARDS cohort, a well-established national cohort with publicly documented methodology. No author affiliations, funding sources, or conflict of interest statements were provided in the text, so no conflicts can be identified. The absence of disclosure does not imply conflict, but transparency is lacking.
Key takeaways
- 01
In White adults: high fat ratio = 44% higher heart attack risk; high inflammation = 68% higher risk; both together = 84% higher risk.
- 02
In Black adults: high fat ratio = no extra risk; high inflammation = 43% higher risk; both together = 52% higher risk.
- 03
Yes—this means inflammation is a reliable warning sign for everyone, but the fat ratio isn't useful for Black adults, so relying on it could miss their real risk.
Surprising findings
- Very low HDL-C levels (<30 mg/dL) were associated with reduced heart disease risk in Black adults — the opposite of what’s assumed.For decades, low HDL has been labeled 'bad cholesterol' across all races. This study flips that script for Black patients, suggesting the rules don't apply universally.
- The TG/HDL-C ratio’s median cutoff (2.17) missed only 10.7% of people with abnormal lipid profiles — yet it still failed to predict risk in Black adults.Even when the test was optimized to catch the most at-risk people, it still didn't work for Black patients — meaning the problem isn't the cutoff, it's the biomarker itself.
Practical takeaways
Ask your doctor for an hsCRP blood test during your next checkup — especially if you're Black or have other risk factors like obesity or diabetes.
hsCRP isn't routinely ordered yet, and insurance coverage varies. It's not a standalone diagnostic tool — it should be used alongside other assessments.
high confidenceIf you're a Black patient and your lipid panel looks 'normal' but you're still worried about heart disease, push for inflammation testing — don't rely on TG/HDL-C alone.
This study doesn't prove that lowering hsCRP reduces risk — only that it predicts risk. Treatments targeting inflammation (like statins or lifestyle changes) are still recommended.
high confidenceWhy this study matters
The Lipid Test That Fails Black Patients
The triglyceride-to-HDL cholesterol ratio predicted a 44% higher heart disease risk in White adults (HR 1.44), but showed no significant risk in Black adults (HR 1.01). This means a widely used clinical metric fails to identify risk in nearly 1 in 5 U.S. adults.
Millions of Black patients are being told their lipid numbers are 'fine' when they may still be at high risk — because the tool doctors rely on was never validated for them.
Inflammation Is the Universal Warning Sign
High hsCRP — a marker of inflammation — increased heart disease risk by 68% in White adults and 43% in Black adults, regardless of lipid levels. It was the dominant driver of risk in both groups.
This means inflammation, not just cholesterol, is the real red flag — and it's equally important for everyone, regardless of race.
Combined Risk Is Additive, Not Multiplicative
When both high hsCRP and high TG/HDL-C were present, risk increased by 84% in White adults and 52% in Black adults — but the combined effect was simply the sum of each factor, not a multiplied danger.
This debunks the myth that having multiple risk factors creates a 'perfect storm' — instead, inflammation alone is the core threat.
Want the whole report?
Detailed mode opens the full scientific breakdown — every score component, the methodology, conflicts of interest, the evidence analysis behind each claim, and the raw study data.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Doctors often check a ratio of two fats in the blood to guess heart attack risk, but this study found it only works well for White adults—not Black adults.
Research results
In White adults: high fat ratio = 44% higher heart attack risk; high inflammation = 68% higher risk; both together = 84% higher risk. In Black adults: high fat ratio = no extra risk; high inflammation = 43% higher risk; both together = 52% higher risk.
What this means - more context
Yes—this means inflammation is a reliable warning sign for everyone, but the fat ratio isn't useful for Black adults, so relying on it could miss their real risk.
To assess whether race modifies the association between triglyceride-to-HDL cholesterol ratio (TG/HDL-C), inflammation (hsCRP), and coronary heart disease (CHD) risk.
In a prospective cohort of 20,954 Black and White adults aged 45+, elevated hsCRP independently predicted CHD risk in both races, while elevated TG/HDL-C predicted CHD only in White adults, not in Black adults. The combined presence of both biomarkers increased CHD risk additively in both groups, with inflammation being the dominant driver.
Methods Used
Prospective cohort study (REGARDS) of 20,954 Black and White adults aged 45+ followed for a mean of 8.91 years. Biomarkers (hsCRP and TG/HDL-C ratio) were dichotomized at the median (>50th percentile). Cox regression models adjusted for age, sex, income, education, hypertension, BMI, diabetes, and aspirin use. CHD events were adjudicated via medical records and death certificates.
Main Finding
Isolated high TG/HDL-C ratio was associated with a 44% increased CHD risk in White adults (HR 1.44; 95% CI: 1.15–1.79) but not in Black adults (HR 1.01; 95% CI: 0.74–1.38). Isolated high hsCRP increased CHD risk by 68% in White adults (HR 1.68) and 43% in Black adults (HR 1.43). Combined high levels increased risk by 84% in White adults (HR 1.84) and 52% in Black adults (HR 1.52), with additive—not synergistic—effects.
Confidence Level
High. Large, nationally representative cohort with long-term follow-up, adjudicated outcomes, and adjustment for major confounders. Sensitivity analyses confirmed robustness. No evidence of synergism.
Study Flags
Red Flags
- •Dichotomization of continuous biomarkers at median may reduce statistical power
- •Self-reported medication use and smoking status may introduce bias
- •Limited power in Black subgroup for interaction analyses due to smaller event counts
No biological mechanisms were identified in this study. This may be an epidemiological, observational, or survey-based study that reports associations rather than proposing causal biological pathways.
Surprising Findings
Very low HDL-C levels (<30 mg/dL) were associated with reduced heart disease risk in Black adults — the opposite of what’s assumed.
For decades, low HDL has been labeled 'bad cholesterol' across all races. This study flips that script for Black patients, suggesting the rules don't apply universally.
Practical Takeaways
Ask your doctor for an hsCRP blood test during your next checkup — especially if you're Black or have other risk factors like obesity or diabetes.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 567 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study watched a bunch of people over many years and noticed that when some health numbers were high, heart problems happened more often — but it didn’t change anything on purpose. So we can say these numbers are linked to heart disease, but we can’t say they cause it.
No conflicts of interest were detected in this study. No score impact.
Strengths
- Large, nationally representative cohort (n=20,954)
- Long follow-up period (mean 8.9 years)
- Rigorous adjudication of CHD outcomes using medical records and death certificates
Weaknesses
- Observational design with no randomization, limiting causal inference
- Unclear blinding status (assumed not blinded)
- Self-reported data for smoking, medication use, and some risk factors
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Doctors often check a ratio of two fats in the blood to guess heart attack risk, but this study found it only works well for White adults—not Black adults.
Research results
In White adults: high fat ratio = 44% higher heart attack risk; high inflammation = 68% higher risk; both together = 84% higher risk. In Black adults: high fat ratio = no extra risk; high inflammation = 43% higher risk; both together = 52% higher risk.
What this means - more context
Yes—this means inflammation is a reliable warning sign for everyone, but the fat ratio isn't useful for Black adults, so relying on it could miss their real risk.
To assess whether race modifies the association between triglyceride-to-HDL cholesterol ratio (TG/HDL-C), inflammation (hsCRP), and coronary heart disease (CHD) risk.
In a prospective cohort of 20,954 Black and White adults aged 45+, elevated hsCRP independently predicted CHD risk in both races, while elevated TG/HDL-C predicted CHD only in White adults, not in Black adults. The combined presence of both biomarkers increased CHD risk additively in both groups, with inflammation being the dominant driver.
Methods Used
Prospective cohort study (REGARDS) of 20,954 Black and White adults aged 45+ followed for a mean of 8.91 years. Biomarkers (hsCRP and TG/HDL-C ratio) were dichotomized at the median (>50th percentile). Cox regression models adjusted for age, sex, income, education, hypertension, BMI, diabetes, and aspirin use. CHD events were adjudicated via medical records and death certificates.
Main Finding
Isolated high TG/HDL-C ratio was associated with a 44% increased CHD risk in White adults (HR 1.44; 95% CI: 1.15–1.79) but not in Black adults (HR 1.01; 95% CI: 0.74–1.38). Isolated high hsCRP increased CHD risk by 68% in White adults (HR 1.68) and 43% in Black adults (HR 1.43). Combined high levels increased risk by 84% in White adults (HR 1.84) and 52% in Black adults (HR 1.52), with additive—not synergistic—effects.
Confidence Level
High. Large, nationally representative cohort with long-term follow-up, adjudicated outcomes, and adjustment for major confounders. Sensitivity analyses confirmed robustness. No evidence of synergism.
Study Flags
Red Flags
- •Dichotomization of continuous biomarkers at median may reduce statistical power
- •Self-reported medication use and smoking status may introduce bias
- •Limited power in Black subgroup for interaction analyses due to smaller event counts
No biological mechanisms were identified in this study. This may be an epidemiological, observational, or survey-based study that reports associations rather than proposing causal biological pathways.
Surprising Findings
Very low HDL-C levels (<30 mg/dL) were associated with reduced heart disease risk in Black adults — the opposite of what’s assumed.
For decades, low HDL has been labeled 'bad cholesterol' across all races. This study flips that script for Black patients, suggesting the rules don't apply universally.
Practical Takeaways
Ask your doctor for an hsCRP blood test during your next checkup — especially if you're Black or have other risk factors like obesity or diabetes.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 567 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study watched a bunch of people over many years and noticed that when some health numbers were high, heart problems happened more often — but it didn’t change anything on purpose. So we can say these numbers are linked to heart disease, but we can’t say they cause it.
No conflicts of interest were detected in this study. No score impact.
Strengths
- Large, nationally representative cohort (n=20,954)
- Long follow-up period (mean 8.9 years)
- Rigorous adjudication of CHD outcomes using medical records and death certificates
Weaknesses
- Observational design with no randomization, limiting causal inference
- Unclear blinding status (assumed not blinded)
- Self-reported data for smoking, medication use, and some risk factors
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
This study did a really good job tracking lots of people, measuring things carefully, and checking for other reasons why heart disease might happen — like smoking or diabetes. That makes us trust the links it found, but because it didn’t test treatments, we still can’t be sure if fixing the numbers would actually help.
40 / 100
- COI disclosure+40/40
- Data availabilitydata not shared
- Code availabilitycode not shared
56 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=20954)+20/20
- Follow-up+10/10
100 / 100
77 / 100
- P-values+15/15
- Effect size+20/20
- Confidence intervals+15/15
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 567 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. This is an observational cohort study with no randomization or intervention; it can identify associations but cannot rule out confounding factors like lifestyle, diet, or unmeasured variables that may influence both lipid levels and heart disease risk.
No Conflicts
No conflicts of interest identified
No conflicts of interest or funding disclosures were reported in the study text.
The study is based on the REGARDS cohort, a well-established national cohort with publicly documented methodology. No author affiliations, funding sources, or conflict of interest statements were provided in the text, so no conflicts can be identified. The absence of disclosure does not imply conflict, but transparency is lacking.