Comparison of the Associations of Apolipoprotein B and Non-High-Density Lipoprotein Cholesterol With Other Cardiovascular Risk Factors in Patients With the Metabolic Syndrome in the Insulin Resistance Atherosclerosis Study
Bibliographic record
Abstract
BACKGROUND: The metabolic syndrome (MetS) as defined by the National Cholesterol Education Panel definition has been proposed as an indicator of cardiovascular disease risk. Both apolipoprotein (apo)B and non-HDL cholesterol (NHDLC) have been proposed as an additional indicator to identify patients at higher risk in MetS patients. METHODS AND RESULTS: We studied 1522 individuals in the Insulin Resistance Atherosclerosis Study (IRAS) who were 40 to 69 years of age and from 3 ethnic groups. Their anthropometric measures, lipids, apoB, C-reactive protein, fibrinogen, plasminogen activator inhibitor-1, fasting and post-glucose load glucose, and insulin concentrations were measured, and insulin sensitivity was determined by intravenous glucose tolerance test. Differences in risk parameters in individuals with hyper-apoB/normo-NHDLC, and normo-apoB/hyper-NHDLC were compared in all IRAS subjects and again in those with MetS. In both cases, despite anticipated lower LDL cholesterol, the hyper-apoB/normo-NHDLC group had elevated risk indicated by greater waist circumference (both P<0.05) and fasting insulin (P<0.01) and lower insulin sensitivity (P<0.001). They also had higher C-reactive protein (P<0.05). Moreover, the Spearman correlation of apoB was significantly stronger (P<0.05) in the direction of greater associated risk than that of NHDLC with body mass index, waist circumference, systolic blood pressure, 2-hour glucose, fasting glucose, fasting insulin, 2-hour insulin, insulin sensitivity, C-reactive protein, fibrinogen, and plasminogen activator inhibitor-1. CONCLUSIONS: In conclusion, apoB is more closely associated with central adiposity, insulin resistance, thrombosis, and inflammation than NHDLC. Our data suggest that apoB is a better candidate risk parameter than NHDLC for identifying a subgroup of individuals with or without MetS with elevated cardiovascular risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".