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Development and validation of a prediction model for frailty in breast cancer patients with extended survival.

Breast cancer (BC) patients with extended survival show a higher incidence of frailty. This study aimed to develop and validate a novel model combining sociodemographic factors (SF) and disease-related factors (DRF) to identify frailty in BC patients with extended survival. This cross-sectional study examined data from 1167 patients admitted to a large urban academic medical centre. Three types of predictive models were constructed in the training set (817 patients): the SF model, the DRF model, and the SF + DRF model (combined model). The model performance and effectiveness were assessed using receiver operating characteristic (ROC) curves, calibration plots and decision curves analysis (DCA). Then the model was subsequently validated on the validation set. The incidence of frailty in BC patients with extended survival was 35.8%. We identified six independent risk factors including age, health status, chemotherapy, endocrine therapy, number of comorbidities and oral medications. Ultimately, we constructed an optimal model (combined model C) for frailty. The predictive model showed significantly high discriminative accuracy in the training set AUC: 0.754, (95% CI, 0.719-0.789; sensitivity: 76.8%, specificity: 62.2%) and validation set AUC: 0.805, (95% CI, 0.76-0.85), sensitivity: 60.8%, specificity: 87.1%) respectively. A prediction nomogram was constructed for the training and validation sets. Calibration and DCA were performed, which indicated that the clinical model presented satisfactory calibration and clinical utility. Ultimately, we implemented the prediction model into a mobile-friendly web application that provides an accurate and individualized prediction for BC. The present study demonstrated that the prevalence of frailty in BC patients with extended survival was 35.8%. We developed a novel model for screening frailty, which may provide evidence for frailty screening and prevention.

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Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer.

To identify symptom clusters (SCs) in patients with lung cancer who are undergoing initial chemotherapy and to identify the sentinel symptoms of each SC. A convenience sampling method was used to recruit patients with lung cancer who were undergoing their initial chemotherapy treatment. Patient information was collected using the General Demographic Questionnaire, MD Anderson Symptom Inventory (including the lung cancer module) and a schedule documenting the initial occurrence of symptoms. The Walktrap algorithm was employed to identify SCs, while sentinel symptoms within each SC were identified using the Apriori algorithm in conjunction with the initial occurrence time of symptoms. A total of 169 patients with lung cancer participated in this study, and four SCs were identified: the psychological SC (difficulty remembering, sadness, dry mouth, numbness or tingling, and distress), somatic SC (pain, fatigue, sleep disturbance, and drowsiness), respiratory SC (coughing, expectoration, chest tightness, and shortness of breath), and digestive SC (nausea, poor appetite, constipation, vomiting, and weight loss). Sadness, fatigue, and coughing were identified as sentinel symptoms of the psychological, somatic, and respiratory SCs, respectively. However, no sentinel symptom was identified for the digestive SC. Patients with lung cancer who are undergoing chemotherapy encounter a spectrum of symptoms, often presenting as SCs. The sentinel symptom of each SC emerges earlier than the other symptoms and is characterized by its sensitivity, significance, and driving force. It serves as a vital indicator of the SC and assumes a sentry role. Targeting sentinel symptoms might be a promising strategy for determining the optimal timing of interventions and for mitigating or decelerating the progression of the other symptoms within the SC.

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Caregivers' demands: caring atmosphere expected by cancer patients' caregivers-a qualitative content analysis.

Family caregivers play a critical role in providing care for patients with cancer. However, the quality of their caregiving can be greatly impacted if the demands and expectations they experience are not identified. Therefore, this study aimed to explore the demands and perceived expectations of caregivers while caring for cancer patients. This qualitative study was conducted from June 2022 to September 2023. Face-to-face and in-depth semi-structured interviews were conducted to collect the experiences of 19 Iranian family caregivers of patients with cancer. Purposive sampling was used to select the participants. The interviews were analyzed using conventional content analysis and the rigor of the study was ensured by employing Lincoln and Guba's criteria. Three main themes and six subthemes were identified through data analysis. The themes that emerged from the caregivers' experiences included the following: (1) ambiguity in the healthcare system, (2) need for empathetic communication, and (3) forgotten caregivers in the healthcare system. Caregivers often feel overlooked, resulting in unfulfilled needs and expectations. It is imperative to explore potential solutions that provide caregivers information, empathetic communication, and support. Nurses, as key members of the healthcare team, should play a significant role in addressing this problem.

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Experiences and perceived benefits of remotely delivered dance/movement therapy for adult cancer patients: a multi-method program evaluation.

Dance/movement therapy (DMT) is increasingly used as a complementary treatment to address psychological and physical wellbeing. However, it is unknown how it can be leveraged in adult cancer care. This mixed methods program evaluation aimed to assess patient-reported benefits and satisfaction with the virtual DMT in an academic oncology setting. We developed, implemented, and evaluated a 6-week virtual, synchronous DMT program aiming to improve physical health, address mental distress, and foster social connection for cancer patients. We used deidentified program evaluation data to assess impact of DMT on patient-reported outcomes and patients' satisfaction with the DMT program. Pre- and post-session data were analyzed using descriptive statistics and a paired t-test. Qualitative data were captured through semi-structured interviews and analyzed using thematic analysis. Results from 39 participants (mean age 64.7 ± 9.8), majority female (89.7%) with a history of breast cancer (43.6%), showed high satisfaction (100%) and unanimous program recommendation (100%). Significant improvements were noted in anxiety (- 0.42 ± 0.76, p = .009), distress (- 0.35 ± 0.80, p = .036), and sense of joy (0.73 ± 1.18, p = .004), with a non-significant trend in increased physical activity (0.38 ± 0.98, p = .057). Thematic findings indicated that DMT participation (1) facilitated engagement in physical activity for improved physical health, (2) fostered creative expression, (3) improved mental state, and (4) helped build social connections and support. Our DMT program shows promise as a component of integrative cancer care. The mixed-method evaluation provides insightful information to generate hypotheses for future RCT studies aiming to evaluate the specific effects of DMT on patient experience and outcomes.

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The change of symptom clusters in gastric cancer patients during the perioperative period: a longitudinal study.

The purpose of this study was to describe the number, type and trajectory of symptom clusters during the perioperative period in patients with gastric cancer at four different time points. The study also aimed to identify the changes and consistency of these symptom clusters over time. This was a longitudinal study. This study was conducted in a tertiary cancer hospital with 205 patients with gastric cancer. The M.D. Anderson Symptom Inventory Gastrointestinal Cancer Module was used to assess the incidence and severity of symptom clusters. Exploratory factor analysis was used to extract symptom clusters. The study identified four symptom clusters in patients with gastric cancer during the perioperative period: gastrointestinal symptom cluster, physical symptom cluster, psychological symptom cluster, and sleep disturbance symptom cluster. These clusters were observed across two to four time points. The findings of this study provide scientific evidence for medical staff and researchers to better understand the symptoms of patients with gastrointestinal cancer during the perioperative period. These findings can help develop individualized interventions for managing symptoms. Gastric cancer patients suffered from various symptom clusters, which lasted from one day before surgery to one month after surgery. They should be given careful consideration by clinical staff.

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Experiences of cohabiting partners of women diagnosed with cancer during pregnancy: a qualitative study.

When a pregnant woman is diagnosed with cancer, she faces complex and unique challenges while navigating both obstetric and oncological care. Despite often being the primary support for women diagnosed with cancer during pregnancy (CDP), little is known about the experiences of their partners. We undertook an in-depth exploration of the experiences of partners of women diagnosed with CDP in Australia. Semi-structured interviews were conducted with partners of women diagnosed with CDP treated in Australia. Interviews explored partners' inclusion in decision making and communication with health professionals and their own coping experiences. Data were analysed thematically. Data from interviews with 12 male partners (N = 12) of women diagnosed with CDP were analysed. Two unique themes relevant to partners were identified: 'Partners require support to adjust to changing roles and additional burdens' and 'Treating the couple as a team facilitates agency and coping, but partners' needs are placed second by all'. Partners of women diagnosed with CDP commonly experience unique stressors and a substantial shift in previously established roles across multiple domains including medical advocacy, household coordination and parenting. Partners' coping is interlinked with how the woman diagnosed with CDP is coping. Inclusion of partners in treatment decisions and communications, and considering partners' wellbeing alongside that of the woman with CDP, is likely to be supportive for partners. In turn, this is likely to enhance the quality of support that women diagnosed with CDP receive from their partners.

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Intramuscular adipose tissue, muscle area, and power as predictors of performance in breast cancer survivors.

The decline in physical performance, assessed by physical tests such as the timed up and go (TUG) test, is a consequence of reduced physiological reserves at higher levels of a hierarchical process. This occurs due to changes in muscle architecture, including atrophy and fat infiltration into the muscles, which in turn lead to changes in muscle function, resulting in reduced muscle strength and power and, consequently, affecting physical performance. This study investigated predictive factors for physical performance in breast cancer survivor (BCS), focusing on intramuscular adipose tissue (IMAT), quadríceps muscle area (QMA), and muscular power. This observational, analytical, and cross-sectional study included 23 women without a history of cancer (age, 58.5 ± 8.3years; BMI, 27.2 ± 5.1kg/m2) and 56 BCS (age, 58.5 ± 8.3years; BMI, 27.2 ± 5.1kg/m2). QMA and IMAT were assessed using computed tomography images. Muscular power and physical performance were measured using the 5-repetition sit-to-stand and TUG tests, respectively. IMAT (r = 0.4, P < 0.01) and muscular power (r = - 0.4, P < 0.01) were associated with TUG performance in BCS, whereas QMA (r = - 0.22, P = 0.10) showed no significant association. QMA (r = 0.55, P < 0.01) was associated with muscular power, while no significant association was found between IMAT and muscular power (r = - 0.05, P = 0.73). Age explained 19% (P < 0.01) of TUG performance variability. Adding muscular power increased explanatory power by 12% (P < 0.01), and including IMAT further increased it by 7% (P = 0.02) for TUG performance. Collectively, age, muscular power, and IMAT accounted for 38% of the performance variance in the TUG test (age, B = 0.06, P = 0.043; muscular power, B = - 0.01, P = 0.002; IMAT, B = - 0.05, P = 0.020). Our findings suggest that IMAT and muscular power predict the physical performance of BCS, while QMA does not have the same predictive capability.

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Rose geranium in sesame oil nasal spray to improve nasal vestibulitis symptoms: a randomized controlled trial.

The purpose of this phase III randomized double-blinded controlled trial was to investigate the efficacy of a rose geranium in sesame oil (RG) nasal spray compared with an isotonic saline (IS) nasal spray for alleviating nasal vestibulitis symptoms among patients undergoing chemotherapy. Patients undergoing active chemotherapy who reported associated nasal symptoms were randomized 1:1 to receive RG or IS, administered twice daily for 2 weeks. Consenting participants completed nasal symptom questionnaires at baseline and then weekly while on treatment. The proportion of patients experiencing improvements in their nasal symptoms 2weeks after initiating the nasal spray, using a six-point global impression of change score, was estimated within and between each randomized arm, and compared between arms, using Fisher's exact test. The estimated odds ratio was determined (95% confidence interval). One hundred and six patients consented to this study; 43 participants in the RG arm and 41 in the IS arm were evaluable for the primary endpoint. Participants had a mean age of 57.8years (SD 13.9). Demographic characteristics and baseline nasal symptoms were similar between arms. Of the evaluable participants who received RG, 67.4% reported improved nasal symptoms, compared with 36.6% of the participants who received IS (P = 0.009). Adverse events were sparse and did not differ between arms. Rose geranium in sesame oil significantly improves nasal vestibulitis symptoms among patients undergoing chemotherapy. NCT04620369.

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Identifying symptom clusters and temporal interconnections in patients with lung tumors after CT-guided microwave ablation: A network analysis.

To explore symptom clusters and interrelationships using a network analysis approach among symptoms in patients with lung tumors who underwent computed tomography (CT)-guided microwave ablation (MWA). A longitudinal study was conducted, and 196 lung tumor patients undergoing MWA were recruited and were measured at 24h, 48h, and 72h after MWA. The Chinese version of the MD Anderson Symptom Inventory and the Revised Lung Cancer Module were used to evaluate symptoms. Network analyses were performed to explore the symptom clusters and interrelationships among symptoms. Four stable symptom communities were identified within the networks. Distress, weight loss, and chest tightness were the central symptoms. Distress, and weight loss were also the most key bridge symptoms, followed by cough. Three symptom networks were temporally stable in terms of symptom centrality, global connectivity, and network structure. Our findings identified the central symptoms, bridge symptoms, and the stability of symptom networks of patients with lung tumors after MWA. These network results will have important implications for future targeted symptom management intervention development. Future research should focus on developing precise interventions for targeting central symptoms and bridge symptoms to promote patients' health.

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