Brain connectomics improve prediction of 1-year decreased quality of life in breast cancer: A multi-voxel pattern analysis.

PURPOSE: Whether brain connectomics can predict 1-year decreased Quality of Life (QoL) in patients with breast cancer are unclear. A longitudinal study was utilized to explore their prediction abilities with a multi-center sample. METHODS: 232 breast cancer patients were consecutively enrolled and 214 completed the 1-year QoL assessment (92.2%). Resting state functional magnetic resonance imaging was collected before the treatment and a multivoxel pattern analysis (MVPA) was performed to differentiate whole-brain resting-state connectivity patterns. Net Reclassification Improvement (NRI) as well as Integrated Discrimination Improvement (IDI) were calculated to estimate the incremental value of brain connectomics over conventional risk factors. RESULTS: Paracingulate Gyrus, Superior Frontal Gyrus and Frontal Pole were three significant brain areas. Brain connectomics yielded 7.8-17.2% of AUC improvement in predicting 1-year decreased QoL. The NRI and IDI ranged from 20.27 to 54.05%, 13.21-33.34% respectively. CONCLUSION: Brain connectomics contribute to a more accurate prediction of 1-year decreased QoL in breast cancer. Significant brain areas in the prefrontal lobe could be used as potential intervention targets (i.e., Cognitive Behavioral Group Therapy) to improve long-term QoL outcomes in breast cancer.

Heterogeneity in resilience patterns and its prediction of 1-year quality of life outcomes among patients with newly diagnosed cancer: An exploratory piecewise growth mixture model analysis.

PURPOSE: This study was designed to explore the impact of a new cancer diagnosis on resilience of patients and whether the resilience patterns could predict Quality of Life (QoL) in the first year. METHODS: An exploratory linear piecewise growth mixture modeling (PGMM) with one hypothetical dot (3 months since diagnosis, T1) was employed to identify different resilience patterns and growth in 289 patients with different cancer diagnoses at five assessment occasions (T0-T4). Logistic regression analysis was performed to select potential predictors and receiver operating characteristic (ROC) curve analysis was utilized to test PGMM's discriminative ability against 1-year QoL. RESULTS: Five discrete resilience trajectories with two growing trends were identified, including "Transcendence" (7.3%), "Resilient" (47.4%), "Recovery" (18.7%), "Damaged" (14.9%) and "Maladaption" (11.8%). Advanced stage, colorectal cancer, and receiving surgery therapy were significant predictors of negative resilience trajectories ("Damaged" or "Maladaption"). Discriminative ability was good for PGMM (AUC = 0.81, 95%CI, 0.76-0.85, P < 0.0001). CONCLUSION: Heterogeneity is identified in resilience growth before and after 3 months since diagnosis. 26.7% newly diagnosed patients need additional attention especially for those with advanced colorectal cancer and receiving surgery therapy.

Measuring resilience by cognitive diagnosis models and its prediction of 6-month quality of life in Be Resilient to Breast Cancer (BRBC).

Objective: The application of advanced Cognitive Diagnosis Models (CDMs) in the Patient Reported Outcome (PRO) is limited due to its complex statistics. This study was designed to measure resilience using CDMs and its prediction of 6-month Quality of Life (QoL) in breast cancer. Methods: A total of 492 patients were longitudinally enrolled from Be Resilient to Breast Cancer (BRBC) and administered with 10-item Resilience Scale Specific to Cancer (RS-SC-10) and Functional Assessment of Cancer Therapy-Breast (FACT-B). Generalized Deterministic Input, Noisy "And" Gate (G-DINA) was performed to measure cognitive diagnostic probabilities (CDPs) of resilience. Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental prediction value of cognitive diagnostic probabilities over total score. Results: CDPs of resilience improved prediction of 6-month QoL above conventional total score. AUC increased from 82.6-88.8% to 95.2-96.5% in four cohorts (all P < 0.001). The NRI ranged from 15.13 to 54.01% and IDI ranged from 24.69 to 47.55% (all P < 0.001). Conclusion: CDPs of resilience contribute to a more accurate prediction of 6-month QoL above conventional total score. CDMs could help optimize Patient Reported Outcomes (PROs) measurement in breast cancer.

Resilience index improves prediction of 1-year decreased quality of life in breast cancer.

BACKGROUND: Resilience is important in cancer survivorship and has great potential to predict long-term quality of life (QoL) in breast cancer. The study was designed to develop a new prediction model to estimate pretest probability (PTP) of 1-year decreased QoL combing Resilience Index (RI) and conventional risk factors. METHODS: RI was extracted from 10-item Resilience Scale Specific to Cancer (RS-SC-10) based on the Principal Component Analysis (PCA). Patients were enrolled from Be Resilient to Breast Cancer (BRBC) and the prediction model was developed based on a sample of 506 consecutive patients and validated in an internal cohort (N1 = 314) and two external cohorts (N2 = 223 and N3 = 189). Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental value of RI. RESULTS: RI improved prediction above conventional risk factors. AUC increased from 0.745 to 0.862 while IDI and NRI were 8.39% and 18.44% respectively (P < 0.0001 for all). Five predictors were included in the final model: RI, age, N stage, M stage, and baseline QoL. The new model demonstrated good calibration ability in the internal and external cohorts resulting in C-indexes of 0.862 (95%CI, 0.815-0.909), 0.828 (95%CI, 0.745-0.910), 0.880 (95%CI, 0.816-0.944), and 0.869 (95%CI, 0.796-0.941). CONCLUSION: RI contributed to a more accurate estimation for PTP of 1-year decreased QoL above conventional risk factors and could help optimize decision making of treatment for breast cancer. IMPLICATIONS FOR CANCER SURVIVORS: A promising prognostic indicator of RI could improve QoL-related management in Chinese patients with breast cancer.

New resilience instrument for family caregivers in cancer: a multidimensional item response theory analysis.

OBJECTIVE: Resilience instruments specific to family caregivers (FCs) in cancer are limited. This study was designed to validate the 10-item Resilience Scale Specific to Cancer (RS-SC-10) in FCs using multidimensional item response theory (MIRT) analysis. METHODS: 382 FCs were enrolled from Be Resilient to Cancer Program (BRCP) and administered with RS-SC-10 and 36-item Short Form Health Survey (SF-36). MIRT was performed to evaluate item parameters while Generalized Additive Model (GAM) and Latent Profile Analysis (LPA) were performed to test the non-linear relationship between resilience (RS-SC-10) and Quality of Life (QoL, SF-36). RESULTS: RS-SC-10 retained 10 items with high multidimensional discrimination, monotonous thresholds and its original two-factor structure (Generic and Shift-Persist). Four latent resilience subgroups were identified and a non-linear dose-response pattern between resilience and QoL was confirmed (per-SD increase OR = 1.62, 95% CI 1.16-2.13, p = 0.0019). CONCLUSION: RS-SC-10 is a brief and suitable resilience instrument for FCs in cancer. The resilience screening of patients and FCs can be performed simultaneously in clinical practice.

Resilience patterns and transitions in the Be Resilient To Breast Cancer trial: an exploratory latent profile transition analysis.

OBJECTIVE: Be Resilient to Breast Cancer (BRBC), a theoretically-derived, resilience-based, culturally-tailored, supportive-expressive group therapy (SEGT), has been developed to help promote patients' resilience in breast cancer. Data from patients receiving BRBC intervention was utilized to explore and define characteristics of resilience patterns and their transitions over time. METHODS: Resilience was used as a primary outcome and 391 patients completed Resilience Scale Specific to Cancer at enrollment (T0), 2 months (T1), 6 months(T2), and 12 months (T3) after intervention. latent profile transition analysis was performed to model the change in resilience and predict positive transitioning probabilities between resilience patterns (from one pattern to another pattern with a higher level) over time. RESULTS: One hundred and forty four resilience patterns were identified after BRBC intervention. 33.1%, 50.3%, and 40.5% of patients experienced positive resilience transitions from T0 to T1, T1 to T2, and T2 to T3, respectively. Patients with middle age, unmarried status, higher education level, and less advanced tumor stage were more likely to experience positive resilience transitions. CONCLUSION: Different transitions of resilience patterns are observed after BRBC intervention. Age, marital status, education, and tumor stage may be four factors affecting the efficacy of SEGT intervention in breast cancer.

Minimum clinical important difference for resilience scale specific to cancer: a prospective analysis.

BACKGROUND: The minimum clinical important differences (MCIDs) of resilience instruments in patients with cancer have not been comprehensively described. This study was designed to evaluate MCIDs of 10-item and 25-item resilience scales specific to cancer (RS-SC-10 and RS-SC-25). METHODS: From June 2015 to December 2018, RS-SCs were longitudinally measured in 765 patients with different cancer diagnoses at baseline (T0) and 3 months later (T1). The EORTC QLQ-C30, Connor-Davidson Resilience Scale, Hospital Anxiety and Depression Scale, and Allostatic Load Index were measured concurrently as anchors. Anchor-based methods (linear regression, within-group), distribution-based methods(within-group), and receiver operating characteristic curves (ROCs, within-subject) were performed to evaluate the MCIDs. RESULTS: 623 of 765 (84.1%) patients had paired RS-SCs scores. Moderate correlations were identified between the change in RS-SCs and change in anchors (r = 0.38-0.44, all p < 0.001). Linear regression estimated + 8.9 and - 6.7 as the MCIDs of RS-SC-25, and + 3.4 and - 2.5 for RS-SC-10. Distribution-based methods estimated + 9.9 and - 9.9 as the MCIDs of RS-SC-25, and + 4.0 and - 4.0 for RS-SC-10. ROC estimated + 5.5 and - 4.5 as the MCIDs of RS-SC-25, and + 2.0 and - 1.5 for RS-SC-10. CONCLUSIONS: The most reliable MCID is around 5 points for RS-SC-25 and 2 points for RS-SC-10. RS-SCs are more responsive to the worsening status of resilience in patients with cancer and these estimates could be useful in future resilience-based intervention trials.

[Efficacy of thunder-fire moxibustion combined with external applicaion of Shuangbai powder for mild and moderate knee osteoarthritis].

OBJECTIVE: To compare the therapeutic effect between thunder-fire moxibustion combined with external applicaion of Shuangbai powder and thunder-fire moxibustion alone for mild and moderate knee osteoarthritis. METHODS: A total of 70 patients with mild and moderate knee osteoarthritis were randomly divided into an observation group and a control group, 35 cases in each group. In the observation group, thunder-fire moxibustion combined with external applicaion of Shuangbai powder were applied, Thunder-fire moxibustion was applied at Xuehai (SP 10), Liangqiu (ST 34), Neixiyan (EX-LE 4), Yanglingquan (GB 34) and ashi point, external applicaion of Shuangbai powder was given to the affected knee after the treatment of thunder-fire moxibustion. Simple thunder-fire moxibustion was given in the control group. All patients in the two groups were treated once a day, 7 days as one course and the consecutive 4 courses were required, with an interval of 1 day between courses. Before and after treatment, the visual analogue scale (VAS) score and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score were used to assessed knee pain, stiffness and physical function in the two groups. In addition, the efficacy was evaluated. RESULTS: Compared before treatment, the VAS scores, total scores of WOMAC, pain scores, stiffness scores and physical function scores were reduced after treatment in the two groups (P<0.01), and the scores in the observation group were significantly lower than those in the control group (P<0.01, P<0.05). The total effective rate was 97.0% (32/33) in the observation group, which was superior to 91.2% (31/34) in the control group (P<0.05). CONCLUSION: Thunder-fire moxibustion combined with external applicaion of Shuangbai powder are superior to simple thunder-fire moxibustion in improving the symptoms and delaying the development of the disease for mild and moderate knee osteoarthritis.

Symptoms and management of children with incurable cancer in mainland China.

PURPOSE: This study was designed to report information regarding symptomology of incurable pediatric cancer to promote proactive medicine and support for children and their families in the palliative phase in Mainland China. METHOD: A multi-center retrospective cohort study including 205 children who died from incurable cancer between June 2008 and September 2013 were analyzed. RESULTS: An incurable diagnosis was confirmed between 0 and 1726 (median, 279) days from initial diagnosis with death occurring between 1 and 239(median, 83) days. The most frequent symptoms were fatigue (93.7%), pain (87.3%), and poor appetite (76.1%). The earliest symptoms were pain and fatigue. Children with leukemia and lymphoma also complained early of nausea/vomiting, and children with solid tumors complained early of disturbed sleep. Later in the palliative phase, altered consciousness and seizures were found in children with central nervous system tumors and solid tumors, while children with leukemia and lymphoma were found to have fever, diarrhea, and bleeding. However, these symptoms only persisted for a short time. DNR discussions were held in 89 cases (43.4%) at a median of 37 (range, 4-178) days before death. A total of 154 patients (75.1%) died at home and 51 patients (24.9%) in the hospital. CONCLUSIONS: This study provides new knowledge about symptomology to health care professionals and parents of children in Mainland China. Given our results, an improved alternative care plan should be developed and implemented earlier to facilitate end-of-life planning.

A biopsychosocial model of resilience for breast cancer: A preliminary study in mainland China.

PURPOSE: Patients diagnosed with breast cancer exhibited critical biopsychosocial functions following surgery or adjuvant treatment; therefore, it is important that they exhibit resilience. A Resilience Model for Breast Cancer (RM-BC) was developed using Chinese breast cancer patients to increase our understanding of how resilience outcomes are positively and negatively affected by protective and risk factors, respectively. METHODS: Chinese women with breast cancer completed the questionnaires within 1 week of beginning treatment. Exploratory Structural Equation Modeling was used to evaluate the RM-BC using a sample size of 342 patients. RESULTS: RM-BC suggested satisfactory goodness-of-fit indices and 67 percents of variance for resilience was explained. The Fit Indices for the measurement model were as follows: CFI = 0.909, GFI = 0.911, IFI = 0.897, NFI = 0.922, PNFI = 0.896, PCFI = 0.884, and RMSEA = 0.031. Three risk factors - emotional distress, physical distress, and intrusive thoughts - and four protective factors - self-efficacy, social support, courage-related strategy, and hope - were recognized. CONCLUSION: The resilience model allows for a better understanding of Chinese breast cancer patients' resilience integration while undergoing treatment and provides an effective structure for the development of resilience-focused interventions that are grounded in their experiences. A randomized trial has provided evidences of feasibility in Chinese women with breast cancer and the resilience model could be used as a useful framework for more resilience intervention in the future.

New resilience instrument for patients with cancer.

OBJECTIVE: Resilience is an important concept in the cancer literature and is a salient indicator of cancer survivorship. The aim of this study is to develop and validate a new resilience instrument that is specific to patients with cancer diagnosis (RS-SC) in Mainland China. METHODS: First, a resilience framework was constructed for patients with cancer diagnosis. Second, items were formulated based on the framework to reflect different aspects of resilience. Third, two rounds of expert panel discussion were performed to select important and relevant items. Finally, two cross-sectional studies were conducted to evaluate the psychometric properties of this instrument. RESULTS: Fifty-one items were generated based on the resilience framework and the final 25-item RS-SC resulted in a five-factor solution including Generic Elements, Benefit Finding, Support and Coping, Hope for the Future and Meaning for Existence, accounting for 64.72% of the variance. The Cronbach's α of the RS-SC was 0.825 and the test-retest reliability was 0.874. CONCLUSION: The RS-SC is a brief and specific self-report resilience instrument for Chinese patients with cancer and shows sound psychometric properties in this study. The RS-SC has potential applications in both clinical practice and research with strength-based resiliency interventions.

Effect of a mentor-based, supportive-expressive program, Be Resilient to Breast Cancer, on survival in metastatic breast cancer: a randomised, controlled intervention trial.

BACKGROUND: Because of medical advances, metastatic breast cancer (MBC) is now viewed as a chronic disease, rather than an imminent death sentence. Helping women live with this disease requires more than a medical approach to symptoms. Thus, a mentor-based and supportive-expressive program 'Be Resilient to Breast Cancer' (BRBC) was designed to help Chinese women with MBC enhance their resilience levels, biopsychosocial functions, and potentially extend their life span. METHODS: A total of 226 women with MBC were randomly assigned, in a 1 : 1 ratio, to an intervention group (IG) that participated in BRBC or to a control group (CG) that received no intervention. Be Resilient to Breast Cancer was conducted for 120 min once a week. Primary outcomes were cancer-specific survival and secondary outcomes were resilience, Allostatic Load Index (ALI), anxiety, depression, and quality of life (QoL). The Cox proportional-hazards model was used for survival analysis and growth mixture models were performed for secondary outcomes. RESULTS: Be Resilient to Breast Cancer did not significantly prolong 3- or 5-year survival (median survival, 36.7 months in IG and 31.5 months in CG). The hazard ratio for death was 0.736 (95% CI, 0.525-1.133, P=0.076; univariate Cox model) and 0.837 (95% CI, 0.578-1.211, P=0.345; multivariate Cox analysis). The IG improved in anxiety (ES=0.85, P<0.001), depression (ES=0.95, P<0.001), QoL (ES=0.55, P<0.001), resilience (ES=0.67, P<0.001), and ALI (ES=0.90, P<0.001) compared to CG. CONCLUSIONS: BRBC does not improve survival of women with MBC in this study, though longer follow up is warranted. It positively impacts resilience, QoL, ALI, and emotional distress.

Predicting changes in quality of life and emotional distress in Chinese patients with lung, gastric, and colon-rectal cancer diagnoses: the role of psychological resilience.

BACKGROUND: Patients with cancer often experience considerable emotional distress, which decreases their quality of life (QOL). Resilience is defined as the psychological characteristics that promote positive adaptation in the face of stress and adversity; however, the relationships among QOL, resilience, and emotional distress in patients with cancer, especially Chinese patients with cancer, are under-researched in the literature. METHODS: Quality of Life Questionnaire Core 30 items, Zung Self-Rating Anxiety Scale, and the Zung Self-Rating Depression Scale were applied in this study. Univariate correlated analysis and multivariate logistic regression analysis were used to test the associations among resilience, emotional distress, and QOL with a sample of 276 participants. A Sobel test was conducted to determine whether the indirect effect of resilience was significant. RESULTS: The mean ratings of QOL (59.2), resilience (20.8), anxiety (43.1), and depression (47.7) were reported. The correlations between resilience and QOL in patients with lung cancer were significantly increased compared with patients with gastric or colorectal cancer (Spearman coefficient squares of 0.284, 0.189, and 0.227, respectively). The highest quartile of the resilience level was associated with a 64% (odds ratio = 0.36, 95% confidence interval = 0.17-0.75, P = .006), 70% (odds ratio = 0.30, 95% confidence interval = 0.14-0.63), and 90% (odds ratio = 0.10, 95% confidence interval = 0.04-0.26, P < .001) reduction in the risk of emotional distress compared with the lowest quartile. The Sobel test indicated a buffering effect of resilience that was significant for depression (Sobel value = 2.002, P = .045) but not anxiety (Sobel value = 1.336, P = .182). CONCLUSIONS: The present study suggests that psychological resilience is positively associated with QOL and may comprise a robust buffer between depression and QOL in Chinese patients with cancer.

Effect of a multidiscipline mentor-based program, Be Resilient to Breast Cancer (BRBC), on female breast cancer survivors in mainland China-A randomized, controlled, theoretically-derived intervention trial.

To reduce the risk of adjustment problems for breast cancer patients in mainland China, we examined the efficacy of a multidiscipline mentor-based program, Be Resilient to Breast Cancer (BRBC), delivered after breast surgery to (a) increase protective factors of social support, hope for the future, etc.; (b) decrease risk factors of Physical and Emotional Distress; and (c) increase outcomes of Resilience, Transcendence and Quality of Life (QOL). A multisite randomized controlled trial was conducted at 6 specialist cancer hospitals. 101 and 103 breast cancer patients were allocated to intervention group (IG) and control group (CG), respectively, and 112 general females (without breast cancer) were allocated to the norm group (NG). Participants completed measures that were related to latent variables derived from the Resilience Model for Breast Cancer (RM-BC) at baseline (T1), 2 months (T2), 6 months (T3), and 12 months (T4) after intervention. At T2, the IG reported significantly lower Depression (ES = 0.65,P = 0.0019) and Illness Uncertainty (ES = 0.57, P = 0.004), better Hope (ES = 0.81, P < 0.001) and QOL (ES = 0.60, P = 0.002) than did the CG. At T3, the IG reported significantly lower Anxiety (ES = 0.74, P < 0.001), better Social Support (ES = 0.51,P = 0.009), Transcendence (ES = 0.87, P < 0.001), and Resilience (ES = 0.83, P < 0.001) compared with the CG. At T4, the IG reported better Resilience though not significant (P = 0.085) and better Transcendence (P = 0.0243) than did the NG. The BRBC intervention improves the positive health outcomes and decreases the risk factors of illness-related distress of breast cancer patients during the high-risk cancer treatment.