Optimism and social support as contributing factors to spirituality in Cancer patients.

BACKGROUND/OBJECTIVE: The impact a cancer diagnosis and its treatment are affected by psychosocial factors and how these factors interrelate among themselves. The objective of this study was to analyze the relationship between optimism and social support in spiritual wellbeing in cancer patients initiating chemotherapy. METHODS: A cross-sectional, multi-center (15 sites), prospective study was conducted with 912 cancer patients who had undergone curative surgery for a stage I-III cancer and were to receive adjuvant chemotherapy. They completed the Functional Assessment of Chronic Illness-Spiritual Well-being Scale (FACIT-Sp), Life Orientation Test-Revised (LOT-R), and the Multidimensional Scale of Perceived Social Support (MSPSS). RESULTS: Significant differences on spirituality scales (meaning/peace and faith) were detected depending on age (≤ 65 vs > 65), sex, marital status, employment, and cancer treatment. Married or partnered participants had significantly higher meaning/peace scores compared to their non-partnered counterparts (p = 0.001). Women, > 65 years, unemployed, and patients treated with chemotherapy and radiotherapy had significantly higher faith scores versus men, ≤ 65 years, employed, and subjects only receiving adjuvant chemotherapy (all p < 0.030). Multivariate analyses indicated that meaning/peace and faith correlated positively with optimism and social support. CONCLUSION: During oncological treatment, the positive effects of optimism and social support exhibit a positive correlation with spiritual coping. A brief assessment evaluation of these factors can aid in identifying at risk for a worse adaptation to the disease.

Overexpression of Dyrk1A, a Down Syndrome Candidate, Decreases Excitability and Impairs Gamma Oscillations in the Prefrontal Cortex.

The dual-specificity tyrosine phosphorylation-regulated kinase DYRK1A is a serine/threonine kinase involved in neuronal differentiation and synaptic plasticity and a major candidate of Down syndrome brain alterations and cognitive deficits. DYRK1A is strongly expressed in the cerebral cortex, and its overexpression leads to defective cortical pyramidal cell morphology, synaptic plasticity deficits, and altered excitation/inhibition balance. These previous observations, however, do not allow predicting how the behavior of the prefrontal cortex (PFC) network and the resulting properties of its emergent activity are affected. Here, we integrate functional, anatomical, and computational data describing the prefrontal network alterations in transgenic mice overexpressingDyrk1A(TgDyrk1A). Usingin vivoextracellular recordings, we show decreased firing rate and gamma frequency power in the prefrontal network of anesthetized and awakeTgDyrk1Amice. Immunohistochemical analysis identified a selective reduction of vesicular GABA transporter punctae on parvalbumin positive neurons, without changes in the number of cortical GABAergic neurons in the PFC ofTgDyrk1Amice, which suggests that selective disinhibition of parvalbumin interneurons would result in an overinhibited functional network. Using a conductance-based computational model, we quantitatively demonstrate that this alteration could explain the observed functional deficits including decreased gamma power and firing rate. Our results suggest that dysfunction of cortical fast-spiking interneurons might be central to the pathophysiology of Down syndrome. SIGNIFICANCE STATEMENT: DYRK1Ais a major candidate gene in Down syndrome. Its overexpression results into altered cognitive abilities, explained by defective cortical microarchitecture and excitation/inhibition imbalance. An open question is how these deficits impact the functionality of the prefrontal cortex network. Combining functional, anatomical, and computational approaches, we identified decreased neuronal firing rate and deficits in gamma frequency in the prefrontal cortices of transgenic mice overexpressingDyrk1A We also identified a reduction of vesicular GABA transporter punctae specifically on parvalbumin positive interneurons. Using a conductance-based computational model, we demonstrate that this decreased inhibition on interneurons recapitulates the observed functional deficits, including decreased gamma power and firing rate. Our results suggest that dysfunction of cortical fast-spiking interneurons might be central to the pathophysiology of Down syndrome.

What works in peer support for breast cancer survivors: A qualitative systematic review and meta-ethnography.

Breast cancer is associated with adverse physical and psychological consequences. Although research has identified the various benefits linked to psychosocial interventions, mixed results have been found in relation to peer support. The aim of the present systematic review and meta-ethnography is to explore the qualitative evidence on the experience of breast cancer survivors in peer support. A systematic search of the literature was conducted until June 2023, and a meta-ethnographic approach was used to synthesize the included papers. Eleven articles were included, collecting the experience of 345 participants. The following four core areas involved in peer support implementation were identified from the synthesis: Peer support can create understanding and a mutual therapeutic and emotional connection; peer support can facilitate an educational and supportive patient-centered journey; peer support should monitor group members for unpleasant emotional experiences; peer support should have professional supervision of recruitment and training to prioritize quality. These results can be used as patient-centered insights by healthcare professionals to provide evidence-informed peer support programs and address current limitations in the field.

An eHealth ecosystem for stepped and early psychosocial care in advanced lung cancer: Rationale and protocol for a randomized control trial.

Background: Receiving a diagnosis of lung cancer is an emotional event, not least because it is usually diagnosed at advanced stages with limited life expectancy. Although evidence-based educational, emotional, and social interventions exist, they reach few patients and usually when it is too late. Objective: This project will be carried out in a comprehensive center for cancer care and health research, aiming to study the efficacy, costs, and utility of an eHealth ecosystem to meet the psychosocial needs of patients with advanced lung cancer. Method: We will enroll 76 patients with advanced lung cancer into an eHealth ecosystem of stepped and personalized psychosocial care for 9 months. These patients will be compared with another 76 receiving usual care in a non-inferiority randomized controlled trial. The following main outcomes will be measured every 3 months: emotional distress, spirituality, demoralization, quality of life, and medication adherence. Secondary outcomes will include symptomatology, health education, cost-utility analyses, usability and satisfaction with the platform, and time to detect emotional needs and provide care. Baseline differences between groups will be measured with the Student t-test or chi-square test, as appropriate. We will then compare the main outcomes between groups over time using multilevel linear models, report effect sizes (Hedges' g), and assess non-inferiority. The cost-utility of both interventions will be considered in terms of quality adjusted life years and quality of life given the costs of providing each treatment. Discussion: This randomized controlled trial should provide new evidence on the efficacy and cost-utility of an eHealth ecosystem to deliver personalized and timely psychosocial care to patients with advanced lung cancer. Trial registration: ClinicalTrials.gov ID "NCT05497973".

A Digital Cancer Ecosystem to Deliver Health and Psychosocial Education as Preventive Intervention.

Health education and psychosocial interventions prevent emotional distress, and the latter has been shown to have an impact on survival. In turn, digital health education interventions may help promote equity by reaching a higher number of cancer patients, both because they avoid journeys to the hospital, by and having a better efficiency. A total of 234 women recently diagnosed with breast cancer in a comprehensive cancer center used the digital ecosystem ICOnnecta't from March 2019 to March 2021. ICOnnecta't consists of four care levels, provided to patients according to their level of distress. The second level of this intervention consists of an educational campus, which was analyzed to track users' interests and their information-seeking behavior. Overall, 99 out of 234 women (42.3%) used the educational campus. There were no significant differences in sociodemographic and clinical variables between the campus users and non-users. Among users, the median number of resources utilized per user was four (interquartile range: 2−9). Emotional and medical resources were the contents most frequently viewed and the audiovisual format the most consulted (p < 0.01). Resources were used mainly within the first three months from enrolment. Users who were guided to visit the virtual campus were more active than spontaneous users. Offering an early holistic health educational platform inside a digital cancer ecosystem, with health professionals involved, can reach more patients, promoting equity in the access of cancer information and prevention, from the very beginning of the disease.

Slow and fast rhythms generated in the cerebral cortex of the anesthetized mouse.

A characterization of the oscillatory activity in the cerebral cortex of the mouse was realized under ketamine anesthesia. Bilateral recordings were obtained from deep layers of primary visual, somatosensory, motor, and medial prefrontal cortex. A slow oscillatory activity consisting of up and down states was detected, the average frequency being 0.97 Hz in all areas. Different parameters of the oscillation were estimated across cortical areas, including duration of up and down states and their variability, speed of state transitions, and population firing rate. Similar values were obtained for all areas except for prefrontal cortex, which showed significant faster down-to-up state transitions, higher firing rate during up states, and more regular cycles. The wave propagation patterns in the anteroposterior axis in motor cortex and the mediolateral axis in visual cortex were studied with multielectrode recordings, yielding speed values between 8 and 93 mm/s. The firing of single units was analyzed with respect to the population activity. The most common pattern was that of neurons firing in >90% of the up states with 1-6 spikes. Finally, fast rhythms (beta, low gamma, and high gamma) were analyzed, all of them showing significantly larger power during up states than in down states. Prefrontal cortex exhibited significantly larger power in both beta and gamma bands (up to 1 order of magnitude larger in the case of high gamma) than the rest of the cortical areas. This study allows us to carry out interareal comparisons and provides a baseline to compare against cortical emerging activity from genetically altered animals.

Psychometric properties of Spanish version of the Mini-Mental Adjustment to Cancer Scale.

BACKGROUND/OBJECTIVE: The aim of the study was to examine the factor structure and psychometric properties of the Spanish version of the Mini-Mental Adjustment to Cancer Scale (Mini-MAC) in a large sample of patients with non-metastatic, resected cancer. METHODS: Prospective, observational, multicenter study for which 914 patients were recruited from 15 Spanish hospitals. Exploratory and confirmatory factor analyses, validity and reliability analyses were conducted. RESULTS: Factor-analytic results indicated a 4-factor structure of the Spanish version of the Mini-MAC. Three subscales have psychometric properties similar to those of Helplessness, Anxious preoccupation, and Cognitive avoidance of the original the Mini-MAC. The Fighting spirit and the Fatalism subscales were combined on the Positive attitude scale. The four factor-derived scale scores exhibited acceptable accuracy for individual measurement purposes, as well as stability over time in test-retest assessments at 6 months. Validity assessments found meaningful relations between the derived scale scores, and Brief Symptom Inventory depression and anxiety scores and Functional Assessment of Chronic Illness Therapy spiritual well-being scores. CONCLUSIONS: The Spanish version of the Mini-MAC provides reliable and valid measures for patients with non-metastatic, resected cancer, and results corroborate the instrument's cross-cultural validity.

ANTECEDENTES/OBJETIVO: El objetivo de este estudio fue analizar las propiedades psicométricas de la versión Española del Mini-Mental Adjustment to Cancer Scale (Mini-MAC) en pacientes con cáncer resecado, no metastásico. MÉTODO: Estudio multicéntrico, prospectivo y observacional con 914 pacientes reclutados en 15 hospitales de España. Se llevaron a cabo análisis factorial exploratorio y confirmatorio, así como análisis de la validez y fiabilidad de las puntuaciones de la escala. RESULTADOS: Los resultados de los análisis factoriales sugieren que la estructura más apropiada para la versión española del Mini-MAC es la de cuatro factores. Tres subescalas derivadas de esta estructura tienen propiedades psicométricas similares a la escala original: Desesperanza, Preocupación ansiosa y Evitación cognitiva. Las subescalas Espíritu de lucha y Fatalismo se combinaron en la escala Actitud positiva. Las puntuaciones en las cuatro escalas mostraron una fiabilidad aceptable para su utilización en la evaluación individual, así como estabilidad a lo largo del tiempo en evaluaciones test-retest a los seis meses. Se obtuvieron evidencias de validez en forma de relaciones significativas con las escalas de ansiedad y depresión del BSI, y de bienestar espiritual del FACIT. CONCLUSIONES: La versión Española del Mini-MAC proporciona puntuaciones fiables y válidas para evaluar las estrategias de afrontamiento en pacientes con cáncer y los resultados añaden evidencia a favor de la validez transcultural del instrumento.

Breast cancer patient experiences through a journey map: A qualitative study.

BACKGROUND: Breast cancer is one of the most prevalent diseases in women. Prevention and treatments have lowered mortality; nevertheless, the impact of the diagnosis and treatment continue to impact all aspects of patients' lives (physical, emotional, cognitive, social, and spiritual). OBJECTIVE: This study seeks to explore the experiences of the different stages women with breast cancer go through by means of a patient journey. METHODS: This is a qualitative study in which 21 women with breast cancer or survivors were interviewed. Participants were recruited at 9 large hospitals in Spain and intentional sampling methods were applied. Data were collected using a semi-structured interview that was elaborated with the help of medical oncologists, nurses, and psycho-oncologists. Data were processed by adopting a thematic analysis approach. RESULTS: The diagnosis and treatment of breast cancer entails a radical change in patients' day-to-day that linger in the mid-term. Seven stages have been defined that correspond to the different medical processes: diagnosis/unmasking stage, surgery/cleaning out, chemotherapy/loss of identity, radiotherapy/transition to normality, follow-up care/the "new" day-to-day, relapse/starting over, and metastatic/time-limited chronic breast cancer. The most relevant aspects of each are highlighted, as are the various cross-sectional aspects that manifest throughout the entire patient journey. CONCLUSIONS: Comprehending patients' experiences in depth facilitates the detection of situations of risk and helps to identify key moments when more precise information should be offered. Similarly, preparing the women for the process they must confront and for the sequelae of medical treatments would contribute to decreasing their uncertainty and concern, and to improving their quality-of-life.

Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy.

Quality of life (QoL) is a complex, ordinal endpoint with multiple conditioning factors. A predictive model of QoL after adjuvant chemotherapy can support decision making or the communication of information about the range of treatment options available. Patients with localized breast cancer (n = 219) were prospectively recruited at 17 centers. Participants completed the EORTC QLQ-C30 questionnaire. The primary aim was to predict health status upon completion of adjuvant chemotherapy adjusted for multiple covariates. We developed a Bayesian model with six covariates (chemotherapy regimen, TNM stage, axillary lymph node dissection, perceived risk of recurrence, age, type of surgery, and baseline EORTC scores). This model allows both prediction and causal inference. The patients with mastectomy reported a discrete decline on all QoL scores. The effect of surgery depended on the interaction with age. Women with ages on either end of the range displayed worse scores, especially with mastectomy. The perceived risk of recurrence had a striking effect on health status. In conclusion, we have developed a predictive model of health status in patients with early breast cancer based on the individual's profile.

Estimation of Risk of Recurrence and Toxicity Among Oncologists and Patients With Resected Breast Cancer: A Quantitative Study.

Shared decision-making regarding adjuvant systemic therapy in breast cancer is based on both properly conveying information about the prognosis of the disease and the benefits and risks of adjuvant treatment, as well as the patient's ability to understand this information. This work proposed to analyze oncologists' and patients' perceptions of the risk of recurrence with and without chemotherapy and toxicity, and the factors influencing said impressions. This was a prospective, cross-sectional, multicenter study that involved 281 breast cancer patients and 23 oncologists. Prognosis (risk of recurrence with and without chemotherapy and risk of severe toxicity with chemotherapy) and shared decision making (SDM) questionnaires were completed by all participants; breast cancer patients also filled out the 18-item Brief Symptom Inventory (BSI-18). Oncologists' prediction of risk of relapse without and with chemotherapy (30.4 and 13.3%) and risk of severe toxicity (9.8%) were more optimistic than those of breast cancer patients (78.6, 29.6, and 61%, respectively). The greater the severity, the higher the risk of relapse according to the oncologists (p = 0.001); not so for the patients. Older physicians and more experienced ones predicted lower risk of relapse with and without chemotherapy and less severe toxicity than younger doctors and those with less experience (p < 0.001). Oncologists' SDM and their prediction of risk of relapsing with chemotherapy correlated negatively with patients' SDM and their prediction of risk of severe toxicity (p < 0.01). There is a positive correlation between psychological distress (BSI-18) and prognosis of risk of recurrence with chemotherapy in breast cancer patients (p < 0.001). These results stress the importance of improving doctor-patient communication in SDM. In breast cancer patients undergoing treatment with curative intent, expectations of being cured would increase and treatment-related anxiety would decrease by enhancing doctor-patient communication to coincide more with respect to risk of relapse and toxicity, thereby enhancing patients' quality of life.

Ascertaining breast cancer patient experiences through a journey map: A qualitative study protocol.

BACKGROUND: The current cancer care system must be improved if we are to have in-depth knowledge about breast cancer patients' experiences throughout all the stages of their disease. AIM: This study seeks to describe breast cancer patients' experience over the course of the various stages of illness by means of a journey model. METHODS: This is a qualitative descriptive study. Individual, semi-structured interviews will be administered to women with breast cancer and breast cancer survivors. Patients will be recruited from nine large hospitals in Spain and intentional sampling will be used. Data will be collected by means of a semi-structured interview that was elaborated with the help of medical oncologists, nurses, and psycho-oncologists. Data will be processed adopting a thematic analysis approach. DISCUSSION: The outcomes of this study will afford new insights into breast cancer patients' experiences, providing guidance to improve the care given to these individuals. This protocol aims to describe the journey of patients with breast cancer through the healthcare system to establish baseline data that will serve as the basis for the development and implementation of a patient-centered, evidence-based clinical pathway.