Abstract 18269: Prognostic Value of Insulin-Like Growth Factor Binding Protein 7 (IGFBP7) in Patients With Heart Failure: Data From CORONA
Bibliographic record
Abstract
Background: A recent proteomic analyses of cardiac tissue from a transgenic murine model of heart failure (HF) and clinical myocardial samples identified IGFBP7 as a candidate marker of HF. We investigated if serum levels of IGFBP7 were upregulated in human HF, if IGFBP7 provided independent prognostic information in these patients, and potential interactions with statin therapy. Materials and methods: Serum IGFBP7 was measured in 187 HF patients and 57 matched healthy controls. The associations of serum IGFBP7 with adverse outcome were assessed in a subset of 1428 patients enrolled in the in the Controlled Rosuvastatin Multinational Trial in HF (CORONA) population, randomly assigned to 10 mg rosuvastatin or placebo, which included patients with HF, aged ≥60 years, in New York Heart Association classes II to IV, who had ischemic heart disease and a reduced left ventricular ejection fraction. Outcome included the primary endpoint (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke; n=408), all-cause mortality (n=422), CV mortality (n=344), coronary endpoint (n=330) and CV mortality/hospitalization for worsening of heart failure (n=535). Results: Serum IGFBP-7 levels were markedly elevated (p<0.001) in HF patients compared to controls (median [25th, 75th percentile]: 694 [586,874] ng/mL vs. 458 [425,499] ng/mL, p<0.001) and correlated with clinical severity (i.e. NYHA, p=0.002). In univariate analyses, IGFBP7 (continuous variable) was associated with all outcomes [HR ranging from 1.76 (coronary endpoint, p=0.003) to 3.08 (CV death, p<0.001)]. In multi-variable analyses, IGFBP7 remained significant for most endpoints after step 1 adjustment (adjusting for left ventricular ejection fraction, NYHA class, age, body mass index, diabetes, sex, intermittent claudication, heart rate, serum creatinine and apoA1) but the predictive value was markedly attenuated and not significant for any outcome after the addition of CRP and NT-proBNP. No interaction by treatment effects were observed for any outcome. Conclusions: Serum IGFBP7 levels are elevated in patients with HF but add no predictive information beyond NT-proBNP for adverse outcome in older patients with advanced chronic systolic HF of ischemic aetiology.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".