Evaluation of the incidence and of risk factors associated with trastuzumab-associated cardiac toxicity in routine clinical practice
Bibliographic record
Abstract
589 Background: Data on trastuzumab-associated cardiac toxicity (TACT) in routine clinical practice are scarce. Alcohol is a potential cardiotoxic but it has not been evaluated as a potential risk factor for TACT. Methods: This is a single institution retrospective study, conducted at the Centre des Maladies du Sein Deschênes-Fabia, Quebec City. Charts review was used to collect information on tumor, cardiovascular risk factors (coronary artery disease (CAD), heart failure, high blood pressure (HBP), obesity, diabetes), alcohol (yes/no), smoking (yes/no), type chemotherapy, anthracyclines doses, trastuzumab doses and left ventricular ejection fraction (LVEF). A questionnaire about smoking and use of alcohol (before chemotherapy, during chemotherapy and during trastuzumab alone) was administered to patients. TACT was defined as a decrease in the LVEF of ≥15% or ≥10% with a resulting LVEF < 50% or any follow-up LVEF of < 45%. Results: Data were collected on 117 patients with non-metastatic breast cancer who started adjuvant trastuzumab between 2002 and 2007. Questionnaires on alcohol use/smoking were administered to 61 patients from these 117 patients. Median age was 53 years old and 95.7% received anthracyclines-based chemotherapy. Median follow-up of LVEF was 16.3 months. TACT developed in 25.6% of patients (10.3 % with a decreased in the LVEF of ≥15%, 7.7% with a decreased in the LVEF of ≥10% with a resulting LVEF < 50% and 7.7% with a LVEF < 45%). None of the following risks factors for TACT were significant (using logistic regression): age (p =0.95), CAD (p = 0.29), HBP (p = 0.46), body mass index (p = 0.64), diabetes (p = 0.29), smoking (p = 0.9), anthracycline doses (p = 0.12), baseline LVEF (p = 0.26). Alcohol use was not associated with TACT (p = 0.76). Further data will be collected in next months about alcohol use. Conclusions: In routine clinical practice, TACT was observed in 25.6% of patients, which is higher than what was reported in trastuzumab phase III clinical trials. Results about alcohol use and TACT will be updated in the spring 2009. [Table: see text]
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".