Abstract PD12-01: Evaluation of sleep problems and their association with febrile neutropenia, leucopenia and infections in women receiving adjuvant chemotherapy for breast cancer in the Canadian Cancer Trials Group MA.21 trial
Bibliographic record
Abstract
Abstract BackgroundInsomnia is a frequent complaint in patients with cancer. Sleep problems can affect immune functioning in healthy individuals. Our aim was to evaluate the association between sleep disturbance and the risk of febrile neutropenia, leukopenia and infections in patients treated with chemotherapy in an adjuvant setting for breast cancer.MethodologyThis is a retrospective study using the Canadian Cancer Trial Group data collected for the MA.21 trial, in which three adjuvant chemotherapy regimens (CEF, EC-T dose dense or AC-T) were compared in 2104 patients with node positive or high-risk node negative breast cancer. A total of 1731 patients had completed the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30) and 1727 patients had completed the Breast Cancer Chemotherapy Questionnaire (BCQ) quality of life questionnaires, which both include a question about sleep difficulties. The primary definition for patients with insomnia was a score of three (quite a bit) or greater at Question 11 (Have you had trouble sleeping? with answers ranging from one (not at all) to four (very much)) on the EORTC QLQ-C30 questionnaire. We compared patients classified as having “clinical insomnia” based on their response to this question with patients considered “good sleepers”. The primary endpoint was the risk of febrile neutropenia. Secondary endpoints were the risks of grade one or more leukopenia, neutropenia and infection. ResultsFebrile neutropenia was more frequent in patients with sleep problems compared with those without, with 16.3% and 12.2% of patients having at least one episode in each group respectively (p value = 0.01 in the univariate analysis (table 1)). However, after adjustment for potential confounders in the multi-variate analysis, it was not statistically significant with an odds ratio of 1.07, a 95% confidence interval of 0.76-1.50 and a p value of 0.71. Similarly, no statistically significant difference in the risk of leukopenia could be demonstrated in the multi-variate analysis for patients with sleep problems with an odds ratio of 0.92 a 95% confidence interval of 0.69-1.24 and a p value of 0.59. No significant association could be found between sleep problems and neutropenia and infections. In an unplanned exploratory analysis, chemotherapy dose reductions were significantly more frequent in patients with sleep problems with 30.6% in this group compared to 21.8% in good sleepers, with a p value <0.0001. ConclusionWhile our univariate analysis suggested an increased risk of febrile neutropenia and leucopenia in patients with sleep problems, after adjustment for confounders, we could not show a statistically significant association in women undergoing adjuvant chemotherapy for high-risk locoregional breast cancer. Table 1: Univariate analysis of primary and secondary outcomes in patients with sleep problems and good sleepersCharacteristicsSleep problem= yesSleep problem = noFebrile neutropeniaNo781 (83.7%)701 (87.8%)Yes152 (16.3%)97 (12.2%)P-value0.01White blood cell count (WBC)Grade 0157 (16.8%)141 (17.7%)Grade 1135 (14.5%)138 (17.3%)Grade 2184 (19.7%)186 (23.3%)Grade 3214 (22.9%)173 (21.7%)Grade 4243 (26.1%)160 (20.1%)P-value0.02NeutropeniaGrade 0778 (83.4%)700 (87.7%)Grade 10 (0%)1 (0.1%)Grade 22 (0.2%)0 (0%)Grade 3152 (16.3%)96 (12.0%)Grade 41 (0.1%)1 (0.1%)P-value0.014InfectionGrade 0619 (66.4%)564 (70.7%)Grade 168 (7.3%)62 (7.8%)Grade 2158 (16.9%)110 (13.8%)Grade 387 (9.3%)61 (7.6%)Grade 41 (0.1%)1 (0.1%)P-value0.24Chemotherapy delayNo1 (0.1%)12 (1.5%)Yes932 (99.9%)786 (98.5%)P-value0.0008Chemotherapy dose reductionNo648 (69.4%)624 (78.2%)Yes285 (30.6%)174 (21.8%)P-value< 0.0001 Citation Format: Audreylie Lemelin, Josée Savard, Michelle Chen, Margot Burnell, Mark N Levine, Lois Shepherd, Bingshu E Chen, Julie Lemieux. Evaluation of sleep problems and their association with febrile neutropenia, leucopenia and infections in women receiving adjuvant chemotherapy for breast cancer in the Canadian Cancer Trials Group MA.21 trial [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD12-01.
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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 | 0.008 | 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 | 0.001 |
| 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 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".