Relationship between QRS duration and left ventricular mass and volume in patients at high cardiovascular risk
Bibliographic record
Abstract
OBJECTIVE: Longer QRS duration on the ECG is associated with increased cardiovascular (CV) mortality. To evaluate potential mechanisms, we examined in this study the relationship between QRS duration and left ventricular (LV) mass and LV end systolic and end diastolic volume in patients with known CV disease or high-risk diabetes. METHODS: In a substudy of the ONTARGET/TRANSCEND (Ongoing Telmisartan Alone and in Combination with Ramipril Global Endpoint Trial/Telmisartan Randomised Assessment Study in ACE Intolerant Subjects with Cardiovascular Disease) clinical trials, 368 patients had a cardiac magnetic resonance scan to measure LV mass, LV end systolic volume, LV end diastolic volume and LV ejection fraction at baseline and after 2 years of follow-up. Relationships between QRS duration on the 12-lead ECG and LV mass and volumes were evaluated at both assessments. RESULTS: Each 10-ms increase in QRS duration both within and above the normal reference range was associated with an 8.3% (95% CI 6.7% to 9.9%) increase in LV mass, a 9.2% (95% CI 7.4% to 10%) increase in LV end diastolic volume and a 7.8% (95% CI 6.4% to 9.3%) increase in LV end systolic volume. QRS duration increased with body size, but associations with LV mass and volumes remained strong after indexing measurements to height(2.7) (p<0.001 for all) and were similar for subjects with an otherwise normal and abnormal ECG. CONCLUSION: A longer QRS duration both within and above the normal reference range is associated with a greater LV mass and larger LV end systolic and end diastolic volumes. This may explain the known association of longer QRS duration with increased CV mortality.
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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 | 0.003 |
| 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 | 0.001 |
| 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".