Effect of Neoadjuvant Chemotherapy on Angiogenesis and Cell Proliferation of Breast Cancer Evaluated by Dynamic Enhanced Magnetic Resonance Imaging.

Background: Breast cancer is the uncontrolled proliferation of breast epithelial cells under the action of various carcinogenic factors. The evaluation of early efficacy of neoadjuvant chemotherapy for breast cancer is helpful to change the treatment plan in time. On this basis, dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) was used to evaluate the effects of neoadjuvant chemotherapy on angiogenesis and cell proliferation in breast cancer. Objective: To evaluate the effect of neoadjuvant chemotherapy on angiogenesis and cell proliferation of breast cancer by dynamic enhanced DCE-MRI. Method: 80 breast cancer patients were divided into the routine chemotherapy group (3 cycles) and neoadjuvant chemotherapy groups (3 cycles) of 40 cases each from January 2018 to June 2021. Based on conventional imaging, DCE-MRI was performed with Intera Achieva 3.0 TMR superconducting MR scanner before and after treatment. The quantitative indexes, MRI parameters, cell proliferation expression, and DCE-MRI angiogenesis were compared between the two groups. Result: The inhibition rate, Vepost, Ktranspre, ADC, Bax, Alexi, and Aurora in the neoadjuvant chemotherapy group were significantly higher than those in the conventional chemotherapy group (P < 0.05), while Kep, Ktrans, and Nek2 were significantly lower than those in the conventional chemotherapy group (P < 0.05). Vepre (cm3), Ktranspre (ml/min/100 cm3), and Ve had no significant difference (P > 0.05). Conclusion: The quantitative parameters, MRI parameters, proliferation, and expression of DCE-MRI in breast cancer patients with different chemotherapy regimens are quite different. They can be applied to the diagnosis of neoadjuvant chemotherapy in breast cancer patients with angiogenesis and cell proliferation.

Inpatient Hospice Palliative Care Unit and Palliative Consultation Service Enhance Comprehensive Quality of Life Outcomes in Terminally Ill Cancer Patients: A Prospective Longitudinal Study.

This study aimed to explore the effectiveness of an inpatient hospice palliative care unit (PCU) and palliative consultation service (PCS) on comprehensive quality of life outcome (CoQoLo) among terminally ill cancer patients. This was a prospective longitudinal study. Terminally ill cancer patients who met the inclusion criteria and received PCU or PCS in a northern Taiwanese medical center were recruited. The CoQoLo Inventory was used to measure CoQoLo level pre- and seven days following hospice care between August 2018 and October 2019. A total of 90 patients completed the study. No significant differences were found in CoQoLo levels between the PCU and PCS groups pre- and seven days following care. However, the CoQoLo level of patients significantly improved seven days following care in both PCU and PCS groups, compared with pre-hospice care. Patients' age, religious belief, marital status, closeness with family, palliative prognostic index (PPI), and symptom severity were significant concerning CoQoLo levels after adjusting for patients' baseline characteristics. PCU and PCS showed no difference in CoQoLo levels, but both of them can improve CoQoLo among terminally ill cancer patients. These patients could receive PCU or PCS to achieve a good CoQoLo at the end-of-life stage.

Mental Adjustment as a Predictor of Comprehensive Quality of Life Outcome among Patients with Terminal Cancer.

Using path modeling, this study aimed to explore whether mental adjustment was directly or indirectly related to comprehensive quality of life outcome (CoQoLO) among patients with terminal cancer. We conducted a cross-sectional designed study among patients with terminal cancer who underwent convenience sampling at our northern Taiwan clinic from August 2019 to August 2020. Patient characteristics data were collected via structured questionnaires, namely, the Mini-Mental Adjustment to Cancer Scale and the Comprehensive Quality of Life Outcome Inventory. Descriptive statistics and regression analyses were used to examine the relationship between mental adjustment and CoQoLO. Path analysis described the dependencies among variables. For the 117 enrolled patients analyzed, MAC (ß = 1.2, 95% confidence interval (CI) = 0.8-1.6, p < 0.001) and living with others (ß = 19.9, 95% CI = 4.1-35.7, p = 0.015) were significant predictors and correlated positively with a CoQoLO score. Path modeling showed that the patients' mental adjustment, economic status, perceived disease severity, palliative prognostic index, and symptom severity directly affected their CoQoLO. Our results indicate that the higher the mental adjustment, the better the CoQoLO among patients with terminal cancer. Thus, nurses need to assess mental adjustment levels when patients are hospitalized and accordingly develop interventions to improve the terminally ill patients' mental adjustment to the final stages of cancer, thereby helping them to achieve good CoQoLO.

Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling.

This study aimed to expand on previous research elucidating the effects of dispositional resilience and self-efficacy on practice in advanced care planning (ACP) of terminally ill patients among Taiwanese nurses using path modeling. This cross-sectional study was conducted using cluster sampling. Data were collected using demographics, nurses' knowledge, attitude, and practice of ACP (KAP-ACP) inventory, Dispositional Resilience Scale, and General Self-Efficacy Scale. A total of 266 nurses from a tertiary medical center in northern Taiwan participated in this study in 2019. The results showed that gender and ward were significant K-ACP predictors among nurses. The ACP knowledge, ward, and experience of caring for terminally ill friends or relatives were significant A-ACP predictors, whereas ACP attitudes, dispositional resilience, self-efficacy, ward, and the frequency of caring for terminally ill patients were the key predictors of P-ACP. The path modeling showed that dispositional resilience; self-efficacy; medical, surgical, hematology and oncology wards; previous experience in caring for terminally ill friends or relatives; participating in the do-not-resuscitate signature; and the frequency of caring for terminally ill patients directly influenced ACP practices. We recommend that nurses enhance their dispositional resilience and self-efficacy, which may encourage them to appreciate the value of ACP practice of terminally ill patients and improve the quality of care.

Effectiveness of palliative care consultation service on caregiver burden over time between terminally ill cancer and non-cancer family caregivers.

PURPOSE: The responsibility of taking care of terminal patients is accepted as a role of family members in Taiwan. Only a few studies have focused on the effect of palliative care consultation service (PCCS) on caregiver burden between terminal cancer family caregivers (CFCs) and non-cancer family caregivers (NCFCs). Therefore, the purpose of this study is to address the effect of PCCS on caregiver burden between CFC and NCFC over time. METHODS: A prospective longitudinal study was conducted in a medical center in northern Taiwan from July to November 2017. The participants were both terminally ill cancer and non-cancer patients who were prepared to receive PCCS, as well as their family caregivers. Characteristics including family caregivers and terminal patients and Family Caregiver Burden Scale (FCBS) were recorded pre-, 7, and 14 days following PCCS. A generalized estimating equation model was used to analyze the change in the level of family caregiver burden (FCB) between CFC and NCFC. RESULTS: The study revealed that there were no statistically significant differences in FCB between CFC and NCFC 7 days and 14 days after PCCS (p > 0.05). However, FCB significantly decreased in both CFC and NCFC from pre-PCCS to 14 days after PCCS (ß = - 12.67, p = 0.013). PPI of patients was the key predictor of FCB over time following PCCS (ß = 1.14, p = 0.013). CONCLUSIONS: This study showed that PCCS can improve FCB in not only CFC but also NCFC. We suggest that PCCS should be used more widely in supporting family caregivers of terminally ill patients to reduce caregiver burden.