Cancer symptom clusters, cardiovascular risk, and quality of life of patients with cancer undergoing chemotherapy: A longitudinal pilot study.

Patients with cancer undergoing chemotherapy may have different cancer symptom clusters (CSC) that negatively impact their quality of life (QoL). These symptoms can sometimes arise from the disease itself or as a result of their cancer treatment. This study aimed to: examine the feasibility of longitudinal testing of CSC pattern and QoL in a sample of adult cancer patients undergoing outpatient chemotherapy; to identify the cardiovascular risk of patients with cancer undergoing outpatient chemotherapy; and to investigate the most prevalent CSC and their impact on the QoL of these patients. A longitudinal pilot study was conducted with eleven participants with a mean age of 56.09 years (range: 27-79) diagnosed with malignant neoplasm and undergoing outpatient chemotherapy treatment were evaluated during 6 cycles of chemotherapy. The CSC, cardiovascular risk, and QoL were assessed using the MSAS, FRS, and EQ-5D-3L™, respectively. Descriptive statistical and non-parametric bivariate analyses were performed. Patients who started chemotherapy treatment generally had a low to moderate cardiovascular risk and were likely to have a family history of hypertension, acute myocardial infarction, and stroke. Cardiovascular risk was found to be correlated with patient age (Rhos = 0.64; P = .033). In addition, the results showed a reduction in the QoL scoring over the 6 chemotherapy sessions. Regarding the most prevalent CSC, 2 clusters were identified: the neuropsychological symptom cluster (difficulty concentrating-sadness-worry) and the fatigue-difficulty sleeping cluster. Between the first and sixth chemotherapy sessions, there was a decrease in the perception of "mild" severity (P = .004) and an increase in the perception of "severe" and "very severe" (P = .003) for all symptoms. Adequate attention to CSC should be the basis for the accurate planning of effective interventions to manage the symptoms experienced by cancer patients.

Nutritional status of women with non-metastatic breast cancer receiving outpatient chemotherapy.

OBJECTIVES: The aim of this study was to evaluate and compare the nutritional status of women with stage I to III breast cancer in the first and third cycles of outpatient chemotherapy and to identify factors associated with it. METHODS: The prospective longitudinal study was conducted at a Reference Hospital for Cancer Care in Brazil and included women aged ≥18 y diagnosed with stage I to III breast cancer receiving outpatient chemotherapy. Assessments were performed during the 1st and 3rd cycles of chemotherapy, including anthropometric measurements, sociodemographic data, clinical information, and quality of life. Nutritional risk was assessed using the NRS-2002. RESULTS: Overweight was predominant in both chemotherapy cycles. Approximately 6.67% and 10% of patients were at nutritional risk in the 1st and 3rd chemotherapy cycles, respectively. Anxiety/depression was prevalent in the 1st chemotherapy cycle and was significantly associated with nutritional risk (P = 0.002). The variables age in cycle 3 and pain/discomfort in cycle 1 (P = 0.049 and P = 0.043, respectively) showed a significant association with nutritional risk. CONCLUSIONS: This study highlights the complex interaction between nutritional status, neuropsychological symptoms, and sociodemographic characteristics in breast cancer patients during chemotherapy, and underscores the need for personalized interventions to improve oncological care.

Temporal Trends in the Completeness of Epidemiological Variables in a Hospital-Based Cancer Registry of a Pediatric Oncology Center in Brazil.

This ecological time series study aimed to examine the temporal trends in the completeness of epidemiological variables from a hospital-based cancer registry (HbCR) of a reference center for pediatric oncology in Brazil from 2010 to 2016. Completeness categories were based on the percentage of missing data, with the categories excellent (<5%), good (5-10%), regular (11-20%), poor (21-50%), and very poor (>50%). Descriptive and bivariate analyses were performed using R.4.1.0; a Mann-Kendall trend test was performed to examine the temporal trends. Variables with the highest incompleteness included race/color (17.24% in 2016), level of education (51.40% in 2015), TNM (56.88% in 2012), disease status at the end of the first treatment (12.09% in 2013), cancer family history (79.12% in 2013), history of alcoholic consumption (39.25% in 2015), history of tobacco consumption (38.32% in 2015), and type of admission clinic (10.28% in 2015). Nevertheless, most variables achieved 100% completeness and were classified as excellent across the time series. A significant trend was observed for race/color, TNM, and history of tobacco consumption. While most variables maintained excellent completeness, the increasing incompleteness trend in race/color and decreasing trend in TNM underscore the importance of reliable and complete HbCRs for personalized cancer care, for planning public policies, and for conducting research on cancer control.

Neutrophil/Lymphocyte Ratio and Platelet/Lymphocyte Ratio and Their Relationship with Nutritional Status and Quality of Life of Hospitalized Women with Breast Cancer.

Blood cell biomarkers, such as the neutrophil-lymphocyte ratio (NLR) and the platelet-lymphocyte ratio (PLR), have been recently used as prognostic markers in tumors. In this study, we investigated the association between NLR and PLR with sociodemographic, clinical, anthropometric, and quality of life factors of hospitalized women with non-metastatic breast cancer. A cross-sectional observational study was conducted at a reference center for oncological treatment in Southeast Brazil. Female participants aged over 18 years, with a histopathological diagnosis of stage I, II or III breast cancer, in any phase of antineoplastic treatment, were included. Our study revealed a high risk for participants, with high mean values of NLR and PLR, indicating low antitumor activity and worse prognosis. The binary logistic regression model showed that there was a significant association of the NLR marker and marital status (OR = 3.1; 95%CI = 1.06-8.57; p = 0.03) and, in relation to PLR, a trend was shown for a higher chance in women of black ethnicity to have increased PLR compared to white women (OR = 4.13; 95%CI = 0.96-17.70; p = 0.05). However, the inflammatory markers (NLR and PLR) did not show any significant association with nutritional factors. NLR and PLR are inflammatory biomarkers that can be easily obtained and measured in clinical practice.

Factors Associated with the Nutritional Status of Women with Non-Metastatic Breast Cancer in a Brazilian High Complexity Oncology Center.

BACKGROUND: Breast cancer poses a significant public health concern owing to its high prevalence and the risk of mortality associated with delayed diagnosis and treatment. The aim of this study was to assess the nutritional status of women with non-metastatic breast cancer and to identify factors associated with it. METHODS: A cross-sectional observational study was conducted at a High Complexity Oncology Assistance Center in the southeast region of Brazil, with the aim of assessing the nutritional status in women undergoing treatment for stage I, II, or III breast cancer. Patients in palliative care or undergoing reconstructive surgery were excluded. Data collection took place between June 2022 and March 2023 and included questionnaires, physical examinations, laboratory tests, and anthropometric assessments. Nutritional status was assessed using measures such as BMI and skinfold thickness, while nutritional risk was assessed using the Nutritional Risk Screening (NRS-2002) tool. RESULTS: Significant associations were found between nutritional risk and educational level (p = 0.03) and BMI (p = 0.01). Binary logistic regression analysis revealed a significant association between educational level and nutritional risk, indicating that lower educational level was associated with higher odds of nutritional risk (OR = 4.59; 95% CI = 1.01-21.04; p = 0.049). In addition, regarding BMI, it was observed that a BMI above 20.5 kg/m2 was associated with a higher likelihood of nutritional risk (OR = 0.09; 95% CI = 0.01-0.89; p = 0.039). CONCLUSIONS: It is crucial to consider the nutritional status of breast cancer patients, alongside clinical factors, to offer comprehensive and personalized care. Gaining insight into the sociodemographic variables linked to nutritional risk can significantly contribute to our understanding of breast cancer. This knowledge, in turn, can aid in identifying effective strategies for public policy, health promotion, and prevention efforts aimed at tackling this condition.

Incompleteness trends of epidemiological variables in a Brazilian high complexity cancer registry: An ecological time series study.

Hospital Cancer Registries serve as a vital source of information for clinical and epidemiological research, allowing the evaluation of patient care outcomes through therapeutic protocol analysis and patient survival assessment. This study aims to assess the trend of incompleteness in the epidemiological variables within the Hospital Cancer Registry of a renowned oncology center in a Brazilian state. An ecological time-series study was conducted using secondary data from the Hospital Santa Rita de Cássia Cancer Registry in Espírito Santo between 2000 and 2016. Data completeness was categorized as follows: excellent (<5%), good (5%-10%), fair (10%-20%), poor (20%-50%), and very poor (>50%), based on the percentage of missing information. Descriptive and bivariate statistical analyses were performed using the free software RStudio (version 2022.07.2) and R (version 4.1.0). The Mann-Kendall test was used to assess temporal trends between the evaluated years, and the Friedman test was employed to evaluate quality scores across the years. Among the variables assessed, birthplace, race/color, education, occupation, origin, marital status, history of alcohol and tobacco consumption, previous diagnosis and treatment, the most important basis for tumor diagnosis, tumor-node-metastasis staging (TNM) staging, and clinical tumor staging by group (TNM) showed the highest levels of incompleteness. Conversely, other epidemiological variables demonstrated excellent completeness, reaching 100% throughout the study period. Significant trends were observed over the years for history of alcohol consumption (P < .001), history of tobacco consumption (P < .001), TNM staging (P = .016), clinical tumor staging by group (TNM) (P = .002), first treatment received at the hospital (P = .012), disease status at the end of the first treatment at the hospital (P < .001), and family history of cancer (P < .001), and tumor laterality (P = .032). While most epidemiological variables within the Hospital Santa Rita de Cássia Cancer Registry exhibited excellent completeness, some important variables, such as TNM staging and clinical staging, showed high levels of incompleteness. Ensuring high-quality data within Cancer Registries is crucial for a comprehensive understanding of the health-disease process.