Changes and Influencing Factors of Cognitive Impairment in Patients with Breast Cancer

Objective. To investigate the changes in cognitive function and its influencing factors in patients with breast cancer after chemotherapy, to provide a scientific basis for further cognitive correction therapy. Methods. In this study, general information on age, marital status, and chemotherapy regimen was collected from 172 breast cancer chemotherapy patients. 172 patients with breast cancer undergoing chemotherapy were investigated by convenience sampling method, and the subjects were tested one-on-one using the Chinese version of the MATRICS Consensus Cognitive Battery (MCCB) computer system. Results. The mean value of standardized t-value of cognitive function and its abnormal dimensions in breast cancer patients undergoing chemotherapy were MCCB total cognition (66.3%, 36.99 ± 13.06, abnormal), working memory (73.3%, 36.84 ± 10.25), attention and alertness (70.3%, 37.20 ± 12.50), social cognition (65.1%, 39.54 ± 10.17), and visual memory (61.6%, 42.19 ± 9.38). A comparison of cognitive function among breast cancer chemotherapy patients with different demographic characteristics showed that differences in place of residence, educational level, monthly income, timing of chemotherapy, chemotherapy regimen, and chemotherapy times may be associated with abnormal cognitive function. Further multiple linear regression analysis was performed and the results showed that there was a linear regression between literacy, number of chemotherapy sessions, monthly personal income, and cognitive function. Conclusion. Cognitive impairment is common in patients with breast cancer after chemotherapy. Nurses should pay attention to the cognitive function changes and intervention of patients with breast cancer after chemotherapy, to prevent the changes of cognitive function and promote the rehabilitation of patients.

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Quality of Life and Hope of Women in China Receiving Chemotherapy for Breast Cancer

Clinical Nursing Research ◽

10.1177/10547738211046737 ◽

2021 ◽

pp. 105477382110467

Author(s):

Yuan Li ◽

Zijun Zhou ◽

Na Ni ◽

Jiaxin Li ◽

Ze Luan ◽

...

Keyword(s):

Breast Cancer ◽

Quality Of Life ◽

Linear Regression ◽

Cancer Chemotherapy ◽

Structural Equation ◽

Linear Regression Analysis ◽

Equation Modeling ◽

Cross Sectional ◽

Breast Cancer Chemotherapy

We explore the association of hope and quality of life in breast cancer chemotherapy women. Their quality of life is related to treatment effects and disease outcomes. This cross-sectional study was conducted in City, China, in 2017. In a convenience sampling, 450 women who underwent breast cancer chemotherapy were selected from two hospitals. Descriptive statistics, single-factor analysis, Spearman correlation, linear regression, and structural equation modeling were used to analyze data. The mean quality of life score was 65.65. In linear regression analysis, we found patients’ quality of life was significantly related to age, marital status, education level, chemotherapy cycle, and hope. Structural equation results showed the “temporality and future” and “interconnectedness” subscales of the HHI explained 43% of the variance in quality of life. We found hope is an important aspect in quality of life, and further research is needed to determine if nurses can influence this aspect of care.

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Cross-Sectional Examination of Homocysteine Levels with Sarcopenia and Its Components in Memory Clinic Outpatients

Journal of Alzheimer s Disease ◽

10.3233/jad-210083 ◽

2021 ◽

pp. 1-10

Author(s):

Yosuke Yamada ◽

Hiroyuki Umegaki ◽

Fumie Kinoshita ◽

Chi Hsien Huang ◽

Taiki Sugimoto ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

Cognitive Function ◽

Linear Regression ◽

Logistic Regression Analysis ◽

Linear Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Memory Clinic ◽

Cross Sectional

Background: Homocysteine is a common risk factor for cognitive impairment and sarcopenia. However, very few studies have shown an association between sarcopenia and serum homocysteine levels after adjustment for cognitive function. Objective: The purpose of this study was to investigate the relationship between homocysteine and sarcopenia in memory clinic patients. Methods: This cross-sectional study investigated outpatients in a memory clinic. We enrolled 1,774 participants (≥65 years old) with measured skeletal muscle mass index (SMI), hand grip strength (HGS), and homocysteine. All participants had undergone cognitive assessments and were diagnosed with dementia, mild cognitive impairment, or normal cognition. Patient characteristics were compared according to sarcopenia presence, SMI level, or HGS. Multivariate logistic regression analysis was performed to determine the association of homocysteine with sarcopenia, low SMI, or low HGS. Next, linear regression analysis was performed using HGS as a continuous variable. Results: Logistic regression analysis showed that low HGS was significantly associated with homocysteine levels (p = 0.002), but sarcopenia and low SMI were not. In linear regression analysis, HGS was negatively associated with homocysteine levels after adjustment for Mini-Mental State Examination score (β= –2.790, p < 0.001) or clinical diagnosis of dementia (β= –3.145, p < 0.001). These results were similar for men and women. Conclusion: Our results showed a negative association between homocysteine and HGS after adjustment for cognitive function. Our findings strengthen the assumed association between homocysteine and HGS. Further research is needed to determine whether lower homocysteine levels lead to prevent muscle weakness.

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Longitudinal Infrared Image Registration Without Adhesive Markers for Breast Cancer Chemotherapy Patients

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2018.2314 ◽

2018 ◽

Vol 8 (3) ◽

pp. 516-525

Author(s):

Chia-Yen Lee ◽

Chung-Ming Chen ◽

Hao-Jen Wang ◽

Jhih-Hao Lai ◽

Chi-En Lee ◽

...

Keyword(s):

Breast Cancer ◽

Image Registration ◽

Cancer Chemotherapy ◽

Infrared Image ◽

Breast Cancer Chemotherapy ◽

Chemotherapy Patients

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Long-term cognitive function following chemotherapy in patients with testicular cancer

Journal of the International Neuropsychological Society ◽

10.1017/s1355617709090316 ◽

2009 ◽

Vol 15 (2) ◽

pp. 296-301 ◽

Cited By ~ 44

Author(s):

ANDERS DEGN PEDERSEN ◽

PHILIP ROSSEN ◽

MIMI YUNG MEHLSEN ◽

CHRISTINA GUNDGAARD PEDERSEN ◽

ROBERT ZACHARIAE ◽

...

Keyword(s):

Breast Cancer ◽

Cognitive Impairment ◽

Cognitive Function ◽

Testicular Cancer ◽

Neuropsychological Tests ◽

Multiple Comparisons ◽

Cognitively Impaired ◽

Cognitive Tests ◽

Chemotherapy Patients

AbstractCancer patients frequently report cognitive complaints following chemotherapy, but the results from the available studies, mainly of women with breast cancer, are inconsistent. Our aim was to compare cognitive function of men with testicular cancer (TC) who had orchiectomy and chemotherapy (bleomycin, etoposide, cisplatin) with men who had orchiectomy only or orchiectomy and radiotherapy. Thirty-six chemotherapy patients and 36 nonchemotherapy patients were tested 2–7 years after treatment for TC with standardized neuropsychological tests. Chemotherapy and nonchemotherapy patients displayed similar performances on cognitive tests (p values adjusted for multiple comparisons: .63–1.00). Moreover, there was no difference in the proportion of cognitively impaired patients in the chemotherapy group (5.6%) compared to the nonchemotherapy group (8.3%) (χ2 = 0.22, p = .64). Our results are discordant with previous findings indicating cognitive impairment following chemotherapy and suggest that TC patients do not need to fear long-term cognitive consequences following chemotherapy. (JINS, 2009, 15, 296–301.)

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Loss of Integrity of Corpus Callosum White Matter Hyperintensity Penumbra Predicts Cognitive Decline in Patients With Subcortical Vascular Mild Cognitive Impairment

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2021.605900 ◽

2021 ◽

Vol 13 ◽

Author(s):

Yage Qiu ◽

Ling Yu ◽

Xin Ge ◽

Yawen Sun ◽

Yao Wang ◽

...

Keyword(s):

Regression Analysis ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cognitive Function ◽

White Matter ◽

Linear Regression ◽

Corpus Callosum ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

The Relationship

Loss of white matter (WM) integrity contributes to subcortical vascular mild cognitive impairment (svMCI). Diffusion tensor imaging (DTI) has revealed damage beyond the area of WM hyperintensity (WMH) including in normal-appearing WM (NAWM); however, the functional significance of this observation is unclear. To answer this question, in this study we investigated the relationship between microstructural changes in the WMH penumbra (WMH-P) and cognitive function in patients with svMCI by regional tract-based analysis. A total of 111 patients with svMCI and 72 patients with subcortical ischemic vascular disease (SIVD) without cognitive impairment (controls) underwent DTI and neuropsychological assessment. WMH burden was determined before computing mean values of fractional anisotropy (FA) and mean diffusivity (MD) within WMHs and WMH-Ps. Pearson’s partial correlations were used to assess the relationship between measurements showing significant intergroup differences and composite Z-scores representing global cognitive function. Multiple linear regression analysis was carried out to determine the best model for predicting composite Z-scores. We found that WMH burden in the genu, body, and splenium of the corpus callosum (GCC, BCC, and SCC respectively); bilateral anterior, superior, and posterior corona radiata; left sagittal stratum was significantly higher in the svMCI group than in the control group (p < 0.05). The WMH burden of the GCC, BCC, SCC, and bilateral anterior corona radiata was negatively correlated with composite Z-scores. Among diffusion parameters showing significant differences across the 10 WM regions, mean FA values of WMH and WMH-P of the BCC were correlated with composite Z-scores in svMCI patients. The results of the multiple linear regression analysis showed that the FA of WMH-P of the BCC and WMH burden of the SCC and GCC were independent predictors of composite Z-score, with the FA of WMH-P of the BCC making the largest contribution. These findings indicate that disruption of the CC microstructure—especially the WMH-P of the BCC—may contribute to the cognitive deficits associated with SIVD.

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