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Dive into the research topics where Emily J. Guerard is active.

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Featured researches published by Emily J. Guerard.


Cancer | 2016

Physical activity communication between oncology providers and patients with early-stage breast, colon, or prostate cancer.

Kirsten A. Nyrop; Allison M. Deal; Grant R. Williams; Emily J. Guerard; Mackenzi Pergolotti; Hyman B. Muss

National guidelines recommend that patients with a cancer diagnosis engage in regular physical activity to reduce cancer‐related fatigue, maintain quality of life and physical function, and improve overall prognosis and survival. This study investigates oncology provider communications about physical activity during routine clinic visits with patients with early‐stage breast, colon, or prostate cancer.


Journal of The National Comprehensive Cancer Network | 2017

Frailty index developed from a cancer-specific geriatric assessment and the association with mortality among older adults with cancer

Emily J. Guerard; Allison M. Deal; YunKyung Chang; Grant R. Williams; Kirsten A. Nyrop; Mackenzi Pergolotti; Hyman B. Muss; Hanna K. Sanoff; Jennifer L. Lund

Background: An objective measure is needed to identify frail older adults with cancer who are at increased risk for poor health outcomes. The primary objective of this study was to develop a frailty index from a cancer-specific geriatric assessment (GA) and evaluate its ability to predict all-cause mortality among older adults with cancer. Patients and Methods: Using a unique and novel data set that brings together GA data with cancer-specific and long-term mortality data, we developed the Carolina Frailty Index (CFI) from a cancer-specific GA based on the principles of deficit accumulation. CFI scores (range, 0-1) were categorized as robust (0-0.2), pre-frail (0.2-0.35), and frail (>0.35). The primary outcome for evaluating predictive validity was all-cause mortality. The Kaplan-Meier method and log-rank tests were used to compare survival between frailty groups, and Cox proportional hazards regression models were used to evaluate associations. Results: In our sample of 546 older adults with cancer, the median age was 72 years, 72% were women, 85% were white, and 47% had a breast cancer diagnosis. Overall, 58% of patients were robust, 24% were pre-frail, and 18% were frail. The estimated 5-year survival rate was 72% in robust patients, 58% in pre-frail patients, and 34% in frail patients (log-rank test, P<.0001). Frail patients had more than a 2-fold increased risk of all-cause mortality compared with robust patients (adjusted hazard ratio, 2.36; 95% CI, 1.51-3.68). Conclusions: The CFI was predictive of all-cause mortality in older adults with cancer, a finding that was independent of age, sex, cancer type and stage, and number of medical comorbidities. The CFI has the potential to become a tool that oncologists can use to objectively identify frailty in older adults with cancer.


Journal of Geriatric Oncology | 2018

Frailty and skeletal muscle in older adults with cancer

Grant R. Williams; Allison M. Deal; Hyman B. Muss; Marc S. Weinberg; Hanna K. Sanoff; Emily J. Guerard; Kirsten A. Nyrop; Mackenzi Pergolotti; Shlomit S. Shachar

OBJECTIVE Computerized tomography (CT) imaging is routine in oncologic care and can be used to measure muscle quantity and composition that may improve prognostic assessment of older patients. This study examines the association of single-slice CT-assessed muscle measurements with a frailty index in older adults with cancer. MATERIALS AND METHODS Using the Carolina Senior Registry, we identified patients with CT imaging within 60days ± of geriatric assessment (GA). A 36-item Carolina Frailty Index was calculated. Cross-sectional skeletal muscle area (SMA) and Skeletal Muscle Density (SMD) were analyzed from CT scan L3 lumbar segments. SMA and patient height (m2) were used to calculate skeletal muscle index (SMI). Skeletal Muscle Gauge (SMG) was calculated by multiplying SMI×SMD. RESULTS Of the 162 patients, mean age 73, 53% were robust, 27% pre-frail, and 21% frail. Significant differences were found between robust and frail patients for SMD (29.4 vs 24.1 HU, p<0.001) and SMG (1188 vs 922AU, p=0.003), but not SMI (41.9 vs 39.5cm2/m2, p=0.29). After controlling for age and gender, for every 5 unit decrease in SMD, the prevalence ratio of frailty increased by 20% (PR=1.20 [1.09, 1.32]) while the prevalence of frailty did not differ based on SMI. CONCLUSIONS Muscle mass (measured as SMI) was poorly associated with a GA-based frailty index. Muscle density, which reflects muscle lipid content, was more associated with frailty. Although frailty and loss of muscle mass are both age-related conditions that are predictive of adverse outcomes, our results suggest they are separate entities.


Oncologist | 2017

Data Linkage to Improve Geriatric Oncology Research: A Feasibility Study

Jennifer L. Lund; Anne Marie Meyer; Allison M. Deal; Bong‐Jin Choi; YunKyung Chang; Grant R. Williams; Mackenzi Pergolotti; Emily J. Guerard; Hyman B. Muss; Hanna K. Sanoff

The development of a more robust observational research data infrastructure would help to address gaps in the evidence base regarding optimal approaches to treating cancer among the growing and complex population of older adults. To demonstrate the feasibility of building such a resource, information from a sample of older adults with cancer was linked using three distinct but complementary data sources. Results are reported to highlight the potential for data linkage to improve the characterization of health status among older adults with cancer and the possibility to conduct passive follow‐up for outcomes of interest over time.


Aging (Albany NY) | 2017

Frailty and inflammatory markers in older adults with cancer

Tomohiro F. Nishijima; Allison M. Deal; Grant R. Williams; Emily J. Guerard; Kirsten A. Nyrop; Hyman B. Muss

We examined the associations between frailty and inflammatory markers, in particular neutrophil lymphocyte ratio (NLR), in elderly cancer patients. We conducted cross-sectional analyses of data derived from the Carolina Seniors Registry (CSR), a database of geriatric assessments (GA) in older adults (≧65 years) with cancer. We included patients in the CSR who had a GA and complete blood count test before initiation of therapy. The primary outcome was frailty, determined using the 36-item Carolina Frailty Index (CFI). In our sample of 133 patients, the median age was 74, and 54% were robust, 22% were pre-frail, and 24% were frail. There was a significant positive correlation between CFI and NLR (r = 0.22, p = 0.025). In multivariable analysis, patients in the top tertile of NLR had an odds ratio of 3.8 (95% CI = 1.1-12.8) for frail/pre-frail status, adjusting for age, sex, race, education level, marital status, cancer type and stage. In bivariable analyses, higher NLR was associated with lower instrumental activity of daily living (IADL) score (p = 0.040) and prolonged timed up and go (p = 0.016). This study suggests an association between frailty and inflammation in older adults with cancer.


Clinics in Geriatric Medicine | 2016

Monoclonal Gammopathy of Undetermined Significance and Multiple Myeloma in Older Adults.

Emily J. Guerard; Sascha A. Tuchman

Multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS) are plasma cell disorders of aging. The landscape of the diagnosis and management of MM and MGUS are rapidly changing. This article provides an updated understanding of the clinical presentation, evaluation, diagnosis, and management of older adults with MM and MGUS. Because most oncology providers are not formally trained in geriatric medicine, geriatricians play a key role in providing oncologists with a broader understanding of patient health status in the hope of improving outcomes for older adults with MM.


Archive | 2016

Breast Cancer in the Older Adult

Emily J. Guerard; Madhuri Vithala; Hyman B. Muss

Breast cancer is the most common cancer among women over the age of 65 years. The objectives of this chapter are to review the value of clinical assessment tools for older adults with breast cancer and to discuss breast cancer prevention, screening, and treatment specific for older adults. The geriatric assessment is an important tool that oncologists can use to better assess an older adult’s functional age and provides additional information beyond standard performance status measures. The geriatric assessment has been shown to uncover problems not detected in a routine oncologic evaluation and also aids in predicting treatment-related toxicity in older adults with solid tumors. Healthy older women with breast cancer should be managed like younger postmenopausal women, including breast conservation therapy if feasible and adjuvant systemic therapy. Frail older women and those with significant comorbidity frequently require treatment modifications. Older women with breast cancer should be routinely encouraged to participate in clinical trials to further develop evidence-based practices for the management and treatment of breast cancer in older adults.


Supportive Care in Cancer | 2015

Geriatric assessment as an aide to understanding falls in older adults with cancer

Grant R. Williams; Allison M. Deal; Kirsten A. Nyrop; Mackenzi Pergolotti; Emily J. Guerard; Trevor Augustus Jolly; Hyman B. Muss


Journal of Oncology Practice | 2015

Falls in Older Adults With Cancer: Evaluation by Oncology Providers

Emily J. Guerard; Allison M. Deal; Grant R. Williams; Trevor Augustus Jolly; Kirsten A. Nyrop; Hyman B. Muss


Journal of Geriatric Oncology | 2016

Survivorship care for older adults with cancer: U13 conference report

Emily J. Guerard; Ginah Nightingale; Keith M. Bellizzi; Peggy S. Burhenn; Ashley E. Rosko; Andrew S. Artz; Beatriz Korc-Grodzicki; Beverly Canin; William Dale; Betty Ferrell

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Hyman B. Muss

University of North Carolina at Chapel Hill

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Allison M. Deal

University of North Carolina at Chapel Hill

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Grant R. Williams

University of Alabama at Birmingham

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Kirsten A. Nyrop

University of North Carolina at Chapel Hill

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Hanna K. Sanoff

University of North Carolina at Chapel Hill

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Trevor Augustus Jolly

University of North Carolina at Chapel Hill

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Jennifer L. Lund

University of North Carolina at Chapel Hill

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YunKyung Chang

University of North Carolina at Chapel Hill

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