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      Study on the Conduction Analysis and Blocking Intervention Scheme of Emotional Disorders between Cancer Patients and Their Families

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          Abstract

          Objective

          To analyze the transmission and blocking intervention scheme of emotional disorders between cancer patients and their families.

          Methods

          About 150 patients with cancer and 150 family members with mood disorders treated in a tertiary hospital in North China from March 2021 to Octobor2021 were enrolled. The patients were randomly assigned into control group and study group. The control group received routine intervention, and the study group received the diagnosis, intervention, and treatment strategies of doctor-patient-affective disorder. The factors related to the transmission of emotional disorders between cancer patients and their families were analyzed, and the alterations of anxiety, depression, social support, and satisfaction of the two groups were compared under different blocking intervention schemes.

          Results

          (1) Univariate analysis indicated that there were significant differences in family age, family income, sex, location of tumor, course of disease, TNM stage, somatic symptoms, and the incidence of anxiety and depression. There exhibited no significant difference between the gender of the family, the years of education of the family, the occupational status of the family, the relationship between the family and the patient, the mode of payment of the patient's medical expenses, the age of the patient, the mode of treatment of the patient, the degree of knowledge of the disease, and the incidence of anxiety and depression ( P > 0.05). The anxiety and depression status of relatives were taken as dependent variables, and the age of family members, family income status, sex of patients, location of tumor, course of disease, TNM stage, and physical symptoms of patients were taken as independent variables, and the data were analyzed by Logistic regression analysis. Logistic regression analysis indicated that family income, tumor location, disease course, TNM stage, and somatic symptoms were the risk factors of anxiety and depression in relatives. (2) Comparison of social support status and intergroup, the objective support, subjective support, support utilization, and total score of social support in the study group were higher compared to the control group. In terms of the depression score before intervention, there exhibited no significant difference ( P > 0.05), but after intervention, the depression score of the two groups decreased, and the depression score of the study group was lower compared to the control group before intervention, 1 week, 2 weeks, 3 weeks, and 4 weeks after intervention ( P < 0.05). In terms of the anxiety score before intervention, there exhibited no significant difference ( P > 0.05), but after intervention, the anxiety score of the two groups decreased, and the anxiety score of the study group was lower compared to the control group before intervention, 1 week, 2 weeks, 3 weeks, and 4 weeks after intervention ( P < 0.05). Comparison of the satisfaction between the two groups and the study group was very satisfied in 56 cases, satisfactory in 14 cases, and general in 5 cases, and the satisfaction rate was 100.00%. The control group was very satisfied in 35 cases, satisfactory in 23 cases, general in 12 cases, and dissatisfied in 5 cases, and the satisfaction rate was 93.33%. The satisfaction of the study group was higher compared to the control group ( P < 0.05).

          Conclusion

          Family income, tumor location, course of disease, TNM stage, and somatic symptoms are the risk factors of anxiety and depression in relatives. After establishing the diagnosis, intervention and treatment strategies of doctor-patient-affective disorder, the emotional disorder of family members of cancer patients, is significantly promoted, and the intervention satisfaction is high, so the scheme is worth promoting.

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          Most cited references33

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          Breast Cancer Index and prediction of benefit from extended endocrine therapy in breast cancer patients treated in the Adjuvant Tamoxifen—To Offer More? (aTTom) trial

          Abstract Background Extending the duration of adjuvant endocrine therapy reduces the risk of recurrence in a subset of women with early-stage hormone receptor-positive (HR+) breast cancer. Validated predictive biomarkers of endocrine response could significantly improve patient selection for extended therapy. Breast cancer index (BCI) [HOXB13/IL17BR ratio (H/I)] was evaluated for its ability to predict benefit from extended endocrine therapy in patients previously randomized in the Adjuvant Tamoxifen—To Offer More? (aTTom) trial. Patients and methods Trans-aTTom is a multi-institutional, prospective–retrospective study in patients with available formalin-fixed paraffin-embedded primary tumor blocks. BCI testing and central determination of estrogen receptor (ER) and progesterone receptor (PR) status by immunohistochemistry were carried out blinded to clinical outcome. Survival endpoints were evaluated using Kaplan–Meier analysis and Cox regression with recurrence-free interval (RFI) as the primary endpoint. Interaction between extended endocrine therapy and BCI (H/I) was assessed using the likelihood ratio test. Results Of 583 HR+, N+ patients analyzed, 49% classified as BCI (H/I)-High derived a significant benefit from 10 versus 5 years of tamoxifen treatment [hazard ratio (HR): 0.35; 95% confidence interval (CI) 0.15–0.86; 10.2% absolute risk reduction based on RFI, P = 0.027]. BCI (H/I)-low patients showed no significant benefit from extended endocrine therapy (HR: 1.07; 95% CI 0.69–1.65; −0.2% absolute risk reduction; P = 0.768). Continuous BCI (H/I) levels predicted the magnitude of benefit from extended tamoxifen, whereas centralized ER and PR did not. Interaction between extended tamoxifen treatment and BCI (H/I) was statistically significant (P = 0.012), adjusting for clinicopathological factors. Conclusion BCI by high H/I expression was predictive of endocrine response and identified a subset of HR+, N+ patients with significant benefit from 10 versus 5 years of tamoxifen therapy. These data provide further validation, consistent with previous MA.17 data, establishing level 1B evidence for BCI as a predictive biomarker of benefit from extended endocrine therapy. Trial registration ISRCTN17222211; NCT00003678.
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            Breast Cancer Index Predicts Extended Endocrine Benefit to Individualize Selection of Patients with HR+ Early-stage Breast Cancer for 10 Years of Endocrine Therapy

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              Predicting Axillary Response to Neoadjuvant Chemotherapy: Breast MRI and US in Patients with Node-Positive Breast Cancer.

              Background In patients who are expected to achieve axillary pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC), omission of axillary lymph node (LN) dissection could prevent morbidity and complications. Purpose To develop a clinical model to predict residual axillary LN metastasis in patients with clinically node-positive breast cancer after NAC by using MRI and US. Materials and Methods In this retrospective study, women with clinically node-positive breast cancer who were treated with NAC following surgery between January 2015 and September 2017 were included. The patients were randomly assigned to a test and validation set (7:3 ratio). Univariable and multivariable logistic regression analyses were performed to evaluate the independent predictors of residual axillary LN metastasis in the test set. A prediction risk score was developed based on the odds ratios from the multivariable analysis and validated in both sets. Results A total of 408 women were included (mean age ± standard deviation, 47.9 years ± 9.6). The axillary pCR rate was 56.6% (231 of 408). Independent predictors of residual axillary LN metastasis were clinical stage N2 or N3, presence of axillary lymphadenopathy at US after NAC, tumor size reduction less than 50% at MRI, Ki-67 negativity, hormone receptor positivity, and human epidermal growth factor receptor 2 negativity (all, P < .05). In a model using these predictors, the area under the receiver operating characteristic curve in the test and validation sets was 0.84 (95% confidence interval: 0.79, 0.88) and 0.78 (95% confidence interval: 0.70, 0.87), respectively. When the patients had a simplified risk score of 1, the false-negative rates ranged between 5%-10%. Conclusion A prediction model incorporating nodal status stage, US finding, MRI response, and molecular receptor status shows good diagnostic performance for residual axillary lymph node metastasis after neoadjuvant chemotherapy in patients with clinically node-positive breast cancer. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Whitman in this issue.
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                Author and article information

                Contributors
                Journal
                Comput Math Methods Med
                Comput Math Methods Med
                cmmm
                Computational and Mathematical Methods in Medicine
                Hindawi
                1748-670X
                1748-6718
                2022
                25 April 2022
                : 2022
                : 4820090
                Affiliations
                1Department of Medical Oncology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Baoding, Hebei 071000, China
                2Department of Nursing, The Sixth People's Hospital of Hebei Province, 572 Dongfeng East Road, Baoding, 071000 Hebei, China
                3Department of Radiotherapy, Affiliated Hospital of Hebei University, 212 Yuhua East Road, Baoding071000, Hebei, China
                Author notes

                Academic Editor: Min Tang

                Author information
                https://orcid.org/0000-0002-1552-3571
                Article
                10.1155/2022/4820090
                9060996
                35509855
                e392ba51-c297-4312-832c-962589717fca
                Copyright © 2022 Ling Hu et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 4 March 2022
                : 26 March 2022
                : 2 April 2022
                Funding
                Funded by: Hebei University
                Award ID: 2021P001
                Funded by: Project of Social Science Foundation of Hebei Province
                Award ID: HB21SH011
                Categories
                Research Article

                Applied mathematics
                Applied mathematics

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