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Post-diagnosis weight trajectories and mortality among women with breast cancer.

ABSTRACT: Weight gain after breast cancer diagnosis is associated with adverse health outcomes. Yet, few studies have characterized post-diagnosis weight change in the modern treatment era or populations most at risk for weight changes. Among women diagnosed with stages I-III breast cancer in the Smilow Care Network (2013-2019; N = 5441), we abstracted demographic and clinical characteristics from electronic health records and survival data from tumor registries. We assessed if baseline characteristics modified weight trajectories with nonlinear multilevel mixed-effect models. We evaluated body mass index (BMI) at diagnosis and weight change 1-year post-diagnosis in relation to all-cause and breast cancer-specific mortality with Cox proportional hazard models. Women had 34.4 ± 25.5 weight measurements over 3.2 ± 1.8 years of follow-up. Weight gain was associated with ER/PR-, HER2+ tumors, BMI ≤ 18.5 kg/m², and age ≤ 45 years (+4.90 kg (standard error [SE] = 0.59), +3.24 kg (SE = 0.34), and +1.75 kg (SE = 0.10), respectively). Weight loss was associated with BMI ≥ 35 kg/m² and age ≥ 70 years (-4.50 kg (SE = 0.08) and -4.34 kg (SE = 0.08), respectively). Large weight loss (≥10%), moderate weight loss (5-10%), and moderate weight gain (5-10%) 1-year after diagnosis were associated with higher all-cause mortality (hazard ratio [HR] = 2.93, 95% confidence interval [CI] = 2.28-3.75, HR = 1.32, 95% CI = 1.02-1.70 and HR = 1.39, 95% CI = 1.04-1.85, respectively). BMI ≥ 35 kg/m² or BMI ≤ 18.5 kg/m² at diagnosis were also associated with higher all-cause mortality. Weight change after a breast cancer diagnosis differed by demographic and clinical characteristics highlighting subgroups at-risk for weight change during a 5-year period post-diagnosis. Monitoring and interventions for weight management early in clinical care are important.

SUBMITTER: Puklin LS

PROVIDER: S-EPMC10693588 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Post-diagnosis weight trajectories and mortality among women with breast cancer.

Puklin Leah S LS Li Fangyong F Cartmel Brenda B Zhao Julian J Sanft Tara T Lisevick Alexa A Winer Eric P EP Lustberg Maryam M Spiegelman Donna D Sharifi Mona M Irwin Melinda L ML Ferrucci Leah M LM

NPJ breast cancer 20231202 1

Weight gain after breast cancer diagnosis is associated with adverse health outcomes. Yet, few studies have characterized post-diagnosis weight change in the modern treatment era or populations most at risk for weight changes. Among women diagnosed with stages I-III breast cancer in the Smilow Care Network (2013-2019; N = 5441), we abstracted demographic and clinical characteristics from electronic health records and survival data from tumor registries. We assessed if baseline characteristics mo ...[more]

PMID: 38042922

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Project description:ImportanceBreast cancer (BC) diagnosis and treatment expose patients to a 5-fold higher risk of depression compared with the general population, with an estimated prevalence of 10% to 25%. A depressive episode in patients with BC has implications for the tolerance of and adherence to treatment, impairing quality of life and reducing life expectancy.ObjectiveTo identify and characterize distinct longitudinal patterns of depressive symptoms in patients with BC from diagnosis to 3 years after treatment.Design, settings, and participantsThe CANTO-DEePRESS (Deeper in the Understanding and Prevention of Depression in Breast Cancer Patients) cohort study included women in the French multicenter CANTO (CANcer TOxicities) cohort study (conducted between March 20, 2012 and December 11, 2018), who were 18 years or older with invasive stage I to III BC and no previous BC treatment. The study aimed to characterize toxicities over a 5-year period following stage I to III primary BC treatment. Assessments of depressive symptoms were performed on a subset of patients with available data at diagnosis and at least 2 other time points. All data were extracted from the CANTO database on October 1, 2020.Main outcomes and measuresThe primary outcome was the level of depressive symptoms at each assessment time point measured with the Hospital Anxiety and Depression Scale and depression subscale at BC diagnosis and at 3 to 6, 12, and 36 months after the end of treatment. The group-based trajectory modeling was used to identify trajectory groups, and multinomial logistic regression models were used to characterize the following factors associated with trajectory group affiliation: demographic, socioeconomic, clinical, lifestyle, and quality-of-life data.ResultsA total of 4803 women (mean [SD] age, 56.2 [11.2] years; 2441 patients [50.8%] with stage I BC) were included in the study. Six trajectory groups that described the heterogeneity in the expression of depressive symptoms were identified: noncases with no expression of symptoms (n = 2634 [54.8%]), intermediate worsening (1076 [22.4%]), intermediate improvement (480 [10.0%]), remission (261 [5.4%]), delayed occurrence (200 [4.2%]), and stable depression (152 [3.2%]). HADS-D scores at diagnosis were consistently associated with the 5 depressive trajectory group affiliations, with an estimated higher probability per point increase of experiencing subthreshold or clinically significant depressive symptoms between diagnosis and the 3 years after the end of BC treatment. The higher probabilities ranged from 1.49 (95% CI, 1.43-1.54) for the intermediate worsening group to 10.53 (95% CI, 8.84-12.55) for the stable depression group. Trajectory groups with depressive symptoms differed from the noncases group without symptoms by demographic and clinical factors, such as having dependent children, lower household income, cancer stage, family history of BC, previous psychiatric hospitalizations, obesity, smoking status, higher levels of fatigue, and depression at diagnosis.Conclusions and relevanceIn this cohort study, nearly a third of patients with BC experienced temporary or lasting significant depressive symptoms during and after treatment. Improving early identification of women at risk of developing long-term or delayed depression is therefore critical to increase quality of life and overall survival. Subjected to validation, this study is an important first step toward personalized care of patients with BC at risk of depression.

Project description:ImportanceFrailty assessed at a single time point is associated with mortality in older women with breast cancer. Little is known about how changes in frailty following cancer treatment initiation affect mortality.ObjectiveTo evaluate the association between claims-based frailty trajectories following adjuvant chemotherapy initiation and 5-year mortality in older women with stage I to III breast cancer.Design, setting, and participantsThis longitudinal cohort study used the Surveillance, Epidemiology, and End Results cancer registries linked to Medicare claims data (claims from 2003-2019). Women aged 65 years or older with stage I to III breast cancer diagnosed from 2004 to 2017 were included. Eligible women underwent breast surgery followed by adjuvant chemotherapy as initial treatment. A landmark design was used to identify frailty trajectories during the year following chemotherapy initiation. Continuous enrollment in Medicare fee-for-service from 180 days before cancer diagnosis through 360 days following chemotherapy initiation (landmark) was required. Women who died or disenrolled before the landmark were excluded. Analyses were conducted between September 2022 and March 2024.ExposuresClaims-based frailty trajectories during the 360 days following chemotherapy initiation were identified using the Faurot frailty index, a validated claims-based proxy for frailty based on demographics and diagnosis, procedure, and durable medical equipment claims. The Faurot frailty index was calculated every 30 days from chemotherapy initiation through the landmark (360 days after chemotherapy initiation). Claims-based frailty trajectory clusters were identified using longitudinal K-means clustering.Main outcomes and measuresAssociations between the claims-based frailty trajectory clusters and 5-year mortality from the landmark were estimated using Kaplan-Meier analysis.ResultsIn total, 20 292 women with breast cancer (median [IQR] age, 70 [67-74] years) were identified. The K-means analysis resulted in 6 trajectory clusters: 3 robust (16 120 women [79.4%]) or resilient (3259 [16.1%]) trajectories and 3 nonresilient trajectories (913 women [4.5%]). Five-year mortality was higher in women belonging to the 3 nonresilient trajectories compared with those belonging to the 3 resilient trajectories (52.1% vs 20.3%; difference, 31.8%; 95% CI, 29.0%-36.2%).Conclusions and relevanceIn this cohort study of women with stage I to III breast cancer, frailty changes following chemotherapy initiation were associated with long-term survival. Future research should assess the association of frailty interventions following cancer treatment initiation with survival and patient-centered outcomes in this population.

Project description:ImportanceSurvival differences between male and female patients with breast cancer have been reported, but the underlying factors associated with the disparity have not been fully studied. This understanding is fundamental to developing strategies for cancer treatment and survivorship care.ObjectiveTo compare mortality between male and female patients with breast cancer and quantitatively evaluate the factors associated with sex-based disparity in mortality.Design, setting, and participantsThis large, nationwide, registry-based cohort study used the National Cancer Database to identify and obtain data on patients who received a breast cancer diagnosis between January 1, 2004, and December 31, 2014. After exclusions, the final study population comprised 1 816 733 patients. Statistical analyses were conducted from September 1, 2018, to January 15, 2019.Main outcomes and measuresThe primary outcome was overall survival. Secondary outcomes were 3-year and 5-year mortality. Mortality differences were evaluated by Kaplan-Meier analysis. The roles of race/ethnicity, clinical characteristics, treatments, and access-to-care factors in the association between sex and mortality were estimated by nested Cox proportional hazards regression models with adjustment for age.ResultsIn total, 16 025 male (mean [SD] age, 63.3 [13.0] years) and 1 800 708 female (mean [SD] age, 59.9 [13.3] years) patients with breast cancer were included in the study. Compared with female patients, male patients had higher mortality across all stages. For men, the overall survival rate was 45.8% (95% CI, 49.5-54.0; P < .001), the 3-year rate was 86.4% (95% CI, 85.9-87.0; P < .001), and the 5-year rate was 77.6% (95% CI, 76.8-78.3; P < .001). For women, the overall survival rate was 60.4% (95% CI, 58.7-62.0; P < .001), the 3-year rate was 91.7% (95% CI, 91.7-91.8; P < .001), and the 5-year rate was 86.4% (95% CI, 86.4-86.5; P < .001). Overall, clinical characteristics and undertreatments were associated with a 63.3% excess mortality rate for male patients. A higher proportion of excess deaths in men were explained by these factors in the first 3 years after breast cancer diagnosis (66.0%) and in all patients with early-stage cancer (30.5% for stage I and 13.6% for stage II). However, sex remained a significant factor associated with overall mortality (adjusted hazard ratio [HR], 1.19; 95% CI, 1.16-1.23) as well as mortality at 3-year (adjusted HR, 1.15; 95% CI, 1.10-1.21) and 5-year (adjusted HR, 1.19; 95% CI, 1.14-1.23) analyses, even after adjustment for clinical characteristics, treatment factors, age, race/ethnicity, and access to care.Conclusions and relevanceThis study found that mortality after cancer diagnosis was higher among male patients with breast cancer compared with their female counterparts. Such disparity appeared to persist after accounting for clinical characteristics, treatment factors, and access to care, suggesting that other factors (particularly additional biological attributes, treatment compliance, and lifestyle factors) should be identified to help in eliminating this disparity.

Project description:We examined the effect of smoking on long-term mortality from breast cancer and other causes among a cohort of women with breast cancer. A total of 975 women diagnosed with breast cancer and aged 40-84 years were followed for a median follow-up of 11 years in the U.S. Health and Functioning in Women (HFW) study. The impact of the individual smoking status and smoking intensity reported in the first few months following breast cancer diagnosis on the risk of mortality from breast cancer and other causes was examined using Cox proportional hazards models. In this study, former smoking was associated with increased risk of other-cause mortality (hazard ratio [HR] = 1.47, 95% confidence interval [CI]: 1.13-1.90), and the risk doubled with increased intensity (HR for <50 pack-years [py]: 1.36, 95% CI: 1.03-1.79; HR for ?50 py: 2.45, 95% CI: 1.41-4.23). Current smoking (HR = 2.45, 95% CI: 1.81-3.32) and each additional 10 py smoked (HR = 1.16, 95% CI: 1.11-1.22) were associated with statistically significant increases in the risk of other-cause mortality. The effect of current smoking on other-cause mortality decreased with advancing stage and increasing body mass index (BMI). Breast cancer-specific mortality was associated with current smoking of ?50 py (HR = 2.36, 95% CI: 1.26-4.44), and each additional 10 py smoked (HR = 1.07, 95% CI: 1.01-1. 14). Current smoking, but not former smoking, was associated with increased risk of breast cancer-specific mortality in women with local disease (HR = 2.32, 95% CI: 1.32-4.09), but not in those with regional and distant disease (HR = 1.10, 95% CI: 0.73-1.68). Our findings suggest that current smoking at the time of breast cancer diagnosis may be associated with increased risk of breast-cancer specific and other-cause mortality, whereas former smoking is associated with increased risk of other-cause mortality. Smoking cessation at the time of diagnosis may lead to better prognosis among women with breast cancer.

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Post-diagnosis weight trajectories and mortality among women with breast cancer.

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Post-diagnosis weight trajectories and mortality among women with breast cancer.

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