Association of Clonal Hematopoiesis of Indeterminate Potential with Cardiovascular Events in Patients with CKD
Bibliographic record
Abstract
Key Points In patients with CKD, non- DNMT3A clonal hematopoiesis of indeterminate potential (CHIP) was associated with higher risk of cardiovascular events. There was no significant difference in the CHIP–cardiovascular disease association based on baseline eGFR, diabetes status, or race. The protective effect of IL6R p.Asp358Ala on non- DNMT3A CHIP cardiovascular risk was similar to the general population. Background Patients with CKD are at higher risk of cardiovascular disease. Clonal hematopoiesis of indeterminate potential (CHIP) has been associated with cardiovascular disease in the general population, with a causal role observed in animal models. In the general population, the effect of CHIP is greater for somatic mutations in predefined CHIP driver genes other than DNMT3A (referred to as non- DNMT3A CHIP). We sought to assess the prospective association between CHIP and cardiovascular events in patients with CKD. Methods CHIP was measured by high-depth targeted sequencing. The primary analysis tested the association of somatic mutations in non- DNMT3A CHIP driver genes with a composite cardiovascular disease end point of myocardial infarction, stroke, congestive heart failure, and peripheral artery disease in 5043 patients with CKD in four prospective cohorts. Sensitivity analyses examined the effect of CHIP subtypes, race, baseline comorbidities, APOL1 risk alleles, and IL6R p.Asp358Ala genotype. Results At baseline, patients had a mean age of 66±12 years and eGFR of 43±18 ml/min per 1.73 m 2 . CHIP was present in 24% of patients, with 13% of all patients carrying acquired non- DNMT3A mutations. Non- DNMT3A CHIP was associated with a 36% higher risk of the composite cardiovascular end point (95% confidence interval [CI], 6% to 76%). Among composite components, non- DNMT3A CHIP was associated with a higher risk of stroke (hazard ratio, 1.65; 95% CI, 1.10 to 2.47). Baseline eGFR, diabetes status, or race did not alter the association of non- DNMT3A CHIP with cardiovascular risk. Those without genetically reduced IL-6 signaling (noncarriers of IL6R p.Asp358Ala) had worse disease (hazard ratio, 1.46; 95% CI, 1.17 to 1.83; P subgroup difference = 0.05). Conclusions In patients with CKD, non- DNMT3A CHIP was associated with cardiovascular disease with an effect size similar to that reported in the general population.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".