Factor Effects Quality of Life Among Breast Cancer Survival Patient

Author(s):  
Lana Muhammad Albtoosh ◽  
Nijmeh Mohammad Al-Atiyyat
Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1492
Author(s):  
Mogana Darshini Ganggayah ◽  
Sarinder Kaur Dhillon ◽  
Tania Islam ◽  
Foad Kalhor ◽  
Teh Chean Chiang ◽  
...  

Automated artificial intelligence (AI) systems enable the integration of different types of data from various sources for clinical decision-making. The aim of this study is to propose a pipeline to develop a fully automated clinician-friendly AI-enabled database platform for breast cancer survival prediction. A case study of breast cancer survival cohort from the University Malaya Medical Centre was used to develop and evaluate the pipeline. A relational database and a fully automated system were developed by integrating the database with analytical modules (machine learning, automated scoring for quality of life, and interactive visualization). The developed pipeline, iSurvive has helped in enhancing data management as well as to visualize important prognostic variables and survival rates. The embedded automated scoring module demonstrated quality of life of patients whereas the interactive visualizations could be used by clinicians to facilitate communication with patients. The pipeline proposed in this study is a one-stop center to manage data, to automate analytics using machine learning, to automate scoring and to produce explainable interactive visuals to enhance clinician-patient communication along the survivorship period to modify behaviours that relate to prognosis. The pipeline proposed can be modelled on any disease not limited to breast cancer.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 96-96
Author(s):  
Victoria Raveis ◽  
Simona Kwon

Abstract Women have a 1-in-8 lifetime risk of breast cancer. Earlier diagnosis and treatment advances have improved 15- and 20-year survival rates. Increased survival can mean coping with the effects of cancer and its treatment over an extended period of time, while experiencing age-related changes in functioning and the emergence of other health issues. To explore breast cancer survivors’ perspectives on their issues and concerns across the life-course, focus groups were conducted with a culturally diverse sample (N=18) of survivors (72% white, 28% Black, 11% Hispanic). Participants were 44-82 years old. Most, 83% were 50 and older, 56% were 60 and older. The majority (83%) were diagnosed in their 40’s and 50’s. Two were diagnosed in their early 30’s and one at age 68. Participants reaffirmed the necessity, as a breast cancer survivor, of being a life-long health advocate on their own behalf, and the importance of being self-informed. As one woman commented: “Knowledge is power”. Survivors shared that their emergent health issues were complicated by their cancer history, and, that, as a cancer survivor, “I never stop worrying”. A widespread concern was not knowing if the health issues and co-morbidities they experienced (such as joint pain, neuropathy, tendinitis, heart disease), were age-related, a consequence of their cancer, or a late treatment effect. An overriding sentiment expressed was that clinicians have not recognized the importance of quality of life in cancer survival. As a survivor succinctly stated: “We are living longer, but we need to live long with quality of life.”


2020 ◽  
pp. 1-9
Author(s):  
Jongwha Chang ◽  
Marie Angayen ◽  
Jihaeng Heo ◽  
Susana Lopez ◽  
Jongwha Chang

Background: Breast cancer is the most commonly diagnosed cancer among women in the United States and it is the leading cause of death among the Hispanic population. Little evidence exists the association of health-related quality of life (HRQoL) by the presence of breast cancer survival among the Latina population. This study was to look at the association of the presence of breast cancer survival on HRQoL measure in the US Hispanic population. Methods: This was a cross-sectional study analyzing data from the 2006-2015 Medical Expenditure Panel Survey (MEPS). The target population was comprised of Hispanic community-dwelling residents with breast cancer in the US. Two multivariate regression models were used to predict HRQoL measure by the presence of breast cancer survival among the Hispanic population. Results: A total 207 breast cancer survivors met the study inclusion criteria, and the estimated population size was 1.200,337 breast cancer survivors. In the multiple regression analysis on the SF-12 PCS scores, age, census region, poverty level, perceived health status, BMI, and employment were associated with SF12 PCS scores. The multiple regression analysis on the SF-12 MCS scores presented that age, census region, insurance type, perceived mental health status, and CCI were associated with SF-12 MCS scores. Conclusion: This study presents data on the HRQoL of Hispanic breast cancer survivors in the U.S. It builds on previous research that examines the HRQoL as expressed through the SF-12 PCS and SF-12 MCS surveys, rather than other types of measurement. This study may also be used as a guide in the implementation of clinical interventions and plans for survivorship care in improving the HRQoL of Hispanic breast cancer survivors.


Author(s):  
Jéssica Alonso-Molero ◽  
Trinidad Dierssen-Sotos ◽  
Ines Gomez-Acebo ◽  
Nerea Fernandez de Larrea Baz ◽  
Marcela Guevara ◽  
...  

Breast cancer is the most frequent cause of tumors and net survival is increasing. Achieving a higher survival probability reinforces the importance of studying health-related quality of life (HR-QoL). The main aim of this work is to test the relationship between different sociodemographic, clinical and tumor-intrinsic characteristics, and treatment received with HR-QoL measured using SF-12 and the FACT/NCCN (National Comprehensive Cancer Network/Functional Assessment of Cancer Therapy) Breast Symptom Index (FBSI). Women with breast cancer recruited between 2008 and 2013 and followed-up until 2017–2018 in a prospective cohort answered two HR-QoL surveys: the SF-12 and FBSI. The scores obtained were related to woman and tumor characteristics using linear regression models. The telephone survey was answered by 1078 women out of 1685 with medical record follow-up (64%). Increases in all three HR-QoL scores were associated with higher educational level. The score differences between women with university qualifications and women with no schooling were 5.43 for PCS-12, 6.13 for MCS-12 and 4.29 for FBSI. Histological grade at diagnosis and recurrence in the follow-up displayed a significant association with mental and physical HR-QoL, respectively. First-line treatment received was not associated with HR-QoL scores. On the other hand, most tumor characteristics were not associated with HR-QoL. As breast cancer survival is improving, further studies are needed to ascertain if these differences still hold in the long run.


2002 ◽  
Vol 57 (6) ◽  
pp. M401-M406 ◽  
Author(s):  
J. S. Goodwin ◽  
J. L. Freeman ◽  
J. D. Mahnken ◽  
D. H. Freeman ◽  
A. B. Nattinger

Sign in / Sign up

Export Citation Format

Share Document