Symptom clusters and their impact on quality of life in multiple myeloma survivors: Secondary analysis of BMT CTN 0702 trial.

Autologous haematopoietic cell transplantation (autoHCT) and continuous post-transplant maintenance therapy are the standard of care in transplant-eligible multiple myeloma (MM) patients. We sought to describe symptom burden and identify symptom clusters occurring in MM patients after autoHCT using data from the BMT CTN 0702 randomized controlled trial comparing the outcomes of three treatment interventions after an autoHCT in 758 MM patients. We analysed individual transplant-related symptoms assessed via the FACT-BMT questionnaire at enrolment and annually for 4-year post-autoHCT. We also described the effect the individual symptoms and symptom clusters have on quality of life (QoL). We identified three stable symptom clusters: malaise symptom cluster (lack of energy, feeling ill, having pain, experiencing nausea, loss of appetite), physical symptom cluster (having skin problems, tremors, worsening eyesight, change in taste, shortness of breath, frequent colds) and emotional symptom cluster (feeling sad, being nervous, experiencing sleep problems). Malaise and emotional symptom clusters have a greater impact on QoL than the physical symptoms cluster. Identifying these symptoms warrant additional support in terms of psychosocial support, in addition to treatment of the physical symptoms themselves.

Symptom Clusters in Patients With Advanced Cancer: A Prospective Longitudinal Cohort Study to Examine Their Stability and Prognostic Significance.

This study's purpose was to assess symptom cluster (SC) stability during disease progression and determine their strength of association with survival in patients with advanced cancer . Consecutively eligible patients with advanced cancer not receiving cancer-specific treatment and referred to a Tertiary Palliative Care Clinic were enrolled in a prospective cohort study. At first consultation (D0) and in subsequent consultations at day 15 (D15) and day 30 (D30), patients rated 9 symptoms through the Edmonton Symptom Assessment System scale (0-10) and 10 others using a Likert scale (1-5). Principal components factor analysis with varimax rotation was used to determine SCs at each consultation. Of 318 patients with advanced cancer, 301 met eligibility criteria with a median age of 69 years (range 37-94). Three SCs were identified: neuro-psycho-metabolic (NPM), gastrointestinal, and sleep impairment, with some variations in their constitution over time. Exploratory factor analysis accounted for 40% of variance of observed variables in all SCs. Shorter median survival was observed continuously for NPM cluster (D0 23 vs. 58 days, P < .001; D15 41 vs. 104 days, P=.004; D30 46 vs. 114 days, P = .002), although the presence of 2 or more SCs on D0 and D15 also had prognostic significance (D0: 21 vs. 45 days, P = .005; D30: 50 vs. 96 days, P = .040). In a multivariable model, NPM cluster (D0 hazard ratio estimate: HR 1.64; 95%CI, 1.17-2.31; P = .005; D15 HR: 2.51; 95%CI, 1.25-5.05; P = .009; D30 HR: 3.9; 95%CI, 1.54-9.86; P = .004) and hospitalization (D0 HR: 2.27; 95%CI, 1.47-3.51; P < .001; D15 HR: 2.43; 95%CI, 1.18-5.01; P = .016; D30 HR: 3.41; 95%CI, 1.35-8.62; P = .009) were independently and significantly associated with worse survival. Three clinically relevant SCs were identified, and their constitution had small variations, maintaining a stable set of nuclear symptoms through disease progression. Presence of the NPM cluster and hospitalization maintained their prognostic value over time.

Acupuncture for the treatment of the pain-fatigue-sleep disturbance-numbness/tingling symptom cluster in breast cancer survivors: a feasibility trial.

PURPOSE: Breast cancer survivors following disease-modifying treatment frequently experience multiple-concurrent symptoms (Jansana et al. in Int J Cancer 149(10):1755 1767, 2021), negatively impacting their quality of life and increasing the risk of polypharmacy (Alwhaibi et al. in J Oncol Pharm Pract 26(5):1052 1059, 2020). This study evaluates the feasibility and acceptability of acupuncture for the management of the pain-fatigue-sleep disturbance-numbness/tingling symptom cluster in breast cancer survivors, and investigates relationships between the symptom cluster and Traditional Chinese Medicine (TCM) syndrome diagnosis. METHODS: This was a single-arm, pre-test/post-test feasibility trial conducted at Chris O'Brien Lifehouse Hospital, Australia. Breast cancer survivors who completed treatment and experienced clinically significant levels of two or more symptoms (pain, fatigue, sleep disturbance, numbness/tingling) were eligible to participate in the individualized, pragmatic 6-week acupuncture intervention. The primary outcome was feasibility and acceptability. Effectiveness was explored using a symptom cluster mean score. RESULTS: Twenty women enrolled in the study over an 11-week period and 90% completed the study. Most women agreed or completely agreed that acupuncture was feasible (85%), acceptable (90%), and appropriate (90%). Both mean and composite symptom cluster scores were significantly reduced (p < 0.001), as were individual symptom scores in fatigue (p < 0.001), sleep disturbance (p = 0.04), and numbness/tingling (p = 0.01). TCM syndromes most closely associated with this symptom cluster were Spleen qi deficiency and Heart fire. No adverse events were reported. CONCLUSION: This study demonstrated that acupuncture was safe and feasible, justifying a powered randomized control trial. Preliminary findings suggest beneficial effects of acupuncture for the management of the pain-fatigue-sleep disturbance-numbness/tingling symptom cluster for women with breast cancer. TCM syndromes identified in this trial may be used to guide acupuncture treatment protocols. CLINICAL TRIAL REGISTRATION: This trial was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12622000590763) on 21 April 2022.

Comparing symptom clusters in cancer survivors by cancer diagnosis: A latent class profile analysis.

PURPOSE: Research on symptom clusters in oncology is progressing, but knowledge gaps remain. One question is whether the number and types of symptom subgroups (i.e., latent classes) differ based on cancer diagnosis. The purpose of this study was to: (1) identify and compare latent class subgroups based on four highly prevalent symptoms (pain, fatigue, sleep disturbance, and depression), and (2) examine the differences in sociodemographic and clinical factors in the identified latent classes across the seven cancer types (i.e., prostate, non-small cell lung, non-Hodgkin's lymphoma, breast, uterine, cervical, and colorectal cancer). METHODS: This study is a cross-sectional secondary analysis of data obtained from the My-Health study in partnership with four Surveillance, Epidemiology, and End Results (SEER) cancer registries located in California (two), Louisiana, and New Jersey. The sample included 4,762 cancer survivors 6-13 months following diagnosis of one of the seven cancer types mentioned. Latent class profile analysis was used. RESULTS: Subjects were primarily young (59% age 21-64 years), Caucasian (41%), married/cohabitating (58%) and unemployed (55%). The number and types of symptom subgroups varied across these seven cancer populations: four-subgroups were the common in prostate, lung, non-Hodgkin's lymphoma, and breast cancer survivors. Unmarried, low education, and unemployment status were associated with high risk of symptom burden across the cancer types. CONCLUSION: Identifying symptom subgroups by cancer diagnosis has the potential to develop innovative and effective targeted interventions in cancer survivors. Further research is needed to establish extensive knowledge in symptom clustering between treatment regimens, and short-term and long-term cancer survivors.

The evolution of symptoms of nervous system dysfunction in a First Nation community with a history of mercury exposure: a longitudinal study.

BACKGROUND: Since the 1960's, mercury (Hg) contamination of the aquatic environment of Asubpeeschoseewagong Anishinabek (Grassy Narrows First Nation) territories has impacted the community members' traditions, culture, livelihood, diet and health. Despite decreasing Hg exposure over time, a recent study suggested that long-term exposure contributed to later-life symptom clusters of nervous system dysfunction. Here, the objective was to evaluate, 5 years later, the prevalence and progression of these symptoms and examine the contribution of long-term, past Hg exposure. METHODS: The symptom questionnaire, applied in the 2016/17 Grassy Narrows Community Health Assessment (GN-CHA) (Time 1), was re-administered in the 2021/22 Niibin study (Time 2). A total of 85 adults (median age: 47y; range: 29-75y) responded at both times. Paired statistics were used to test the differences (Time 2 - Time 1) in self-reported symptom frequencies. The symptom clustering algorithm, derived from the entire study group of the GN-CHA (n = 391), which had yielded 6 clusters, was applied at Time 1 and 2. Equivalent hair Hg measurements (HHg) between 1970 and 1997 were used in Longitudinal Mixed Effects Models (LMEM), with a sub-group with ≥ 10 repeated HHg mesurements (age > 40y), to examine its associations with symptom cluster scores and their progression. RESULTS: For most symptoms, paired analyses (Time 2 - Time 1) showed a significant increase in persons reporting " very often" or "all the time", and in the mean Likert scores for younger and older participants (< and ≥ 50y). The increase in cluster scores was not associated with age or sex, except for sensory impairment where a greater increase in symptom frequency was observed for younger persons. LMEM showed that, for the sub-group, long-term past Hg exposure was associated with most cluster scores at both times, and importantly, for all clusters, with their rate of increase over time (Time 2 - Time 1). CONCLUSIONS: The persistence of reported symptoms and their increase in frequency over the short 5-year period underline the need for adequate health care services. Results of the sub-group of persons > 40y, whose HHg reflects exposure over the 28-year sampling period, suggest that there may be a progressive impact of Hg on nervous system dysfunction.

Stability and consistency of symptom clusters in younger versus older patients receiving chemotherapy.

BACKGROUND: By 2035, the number of newly diagnosed cancer cases will double and over 50% will be in older adults. Given this rapidly growing demographic, a need exists to understand how age influences oncology patients' symptom burden. The study purposes were to evaluate for differences in the occurrence, severity, and distress of 38 symptoms in younger (< 60 years) versus older (≥ 60 years) oncology patients undergoing chemotherapy and to evaluate for differences in the stability and consistency of symptom clusters across the two age groups. METHODS: A total of 1329 patients were dichotomized into the younger and older groups. Patients completed demographic and clinical questionnaires prior to the initiation of their second or third cycle of chemotherapy. A modified version of Memorial Symptom Assessment Scale was used to evaluate the occurrence, severity, and distress of 38 common symptoms associated with cancer and its treatment. Differences between the two age groups in demographic and clinical characteristics and ratings of occurrence, severity, and distress for the 38 symptoms were evaluated using parametric and nonparametric tests. Exploratory factor analyses were done within each age group to identify symptom clusters using symptom occurrence rates. RESULTS: Compared to the younger group (14.8 (± 7.0)), older adults reported a lower mean number of symptoms (12.9 (± 7.2)). Older patients experienced lower occurrence rates for almost 50% of the symptoms. Regarding symptom clusters, an eight-factor solution was selected for both age groups. Across the two age groups, the eight symptom clusters (i.e., physical and cognitive fatigue, respiratory, psychological, hormonal, chemotherapy-related toxicity, weight gain, gastrointestinal, epithelial) were stable. However, symptoms within the physical and cognitive, chemotherapy-related toxicity, and gastrointestinal clusters were not consistent across the age groups. CONCLUSIONS: To be able to provide tailored and effective symptom management interventions to older oncology patients, routine assessments of the core symptoms unique to the symptom clusters identified for this group warrants consideration. The underlying mechanism(s) for these inconsistencies in symptom burden is an important focus for future studies.

Pre-hospital symptom clusters and symptom network analysis in decompensated cirrhotic patients: A cross-sectional study.

AIMS: To generate pre-hospital symptom networks, explore core, bridge and sentinel symptoms, identify pre-hospital symptom clusters and analyse relationship between influencing factors and symptom clusters in decompensated cirrhosis patients. DESIGN: A cross-sectional study design using the Strengthening the Reporting of Observational Studies in Epidemiology checklist. METHODS: Demographical, physiological, psychological and sociological characteristics and the pre-hospital symptoms of 292 decompensated cirrhotic patients were collected from October 2021 to March 2023 in China. Frequencies, percentages, means, standard deviations, independent samples t-tests, one-way analysis of variance, exploratory factor analysis, multiple stepwise regression analysis and network analysis were used for data analysis. RESULTS: 'I don't look like myself' and itching were core and bridge symptoms, while bloating and lack of energy were sentinel symptoms in decompensated cirrhotic patients. Monthly family income, anxiety, depression, social support and disease duration influenced the neuropsychological symptom cluster, with worrying as the strongest predictor symptom. Influential factors for cirrhosis-specific symptom cluster included Child-Pugh class, monthly family income, disease duration, anxiety and depression, with itching being the strongest predictor symptom. Monthly family income, disease duration and depression were influential factors for gastrointestinal symptom cluster, with loss of appetite as the strongest predictor symptom. CONCLUSIONS: Neuropsychological, cirrhosis-specific and gastrointestinal symptom clusters were formed in decompensated cirrhotic patients. Through network analysis, direct connections between symptoms, symptom clusters and their influencing factors were revealed, thereby offering clinicians a foundation for effectively managing patients' pre-hospital symptoms. IMPACT: Decompensated cirrhosis patients commonly have multiple symptoms, while the management of pre-hospital symptoms is often suboptimal. This study identified neuropsychological, cirrhosis-specific, gastrointestinal symptom clusters and recognized core, bridge and sentinel symptoms in these patients. It also revealed the most prominent symptoms within each cluster. This provides insight into the hierarchy of symptoms, improving symptom management in decompensated cirrhosis. PATIENT AND PUBLIC INVOLVEMENT: There was no patient or public involvement.

Exploring emotional distress symptom clusters in young adults with childhood traumatic brain injury.

BACKGROUND: Depression, anxiety, and stress are persistent and co-occurring symptoms in survivors of childhood traumatic brain injury (TBI), and often impact on health-related quality of life (HRQoL). This paper explored emotional distress symptom clusters and associated factors in young adults with childhood TBI. METHODS: We included 54 young adults who sustained mild (n = 14), moderate (n = 27), and severe (n = 13) childhood TBI, at 20 years post-injury. The Depression Anxiety Stress Scale was administered. Cluster group membership was identified using two-step clustering and hierarchical clustering methods, and associated factors were assessed with multiple regression models. RESULTS: Two symptom cluster groups were identified, including a No Distress (n = 66%) and an Elevated Distress (n = 33%) group, with the latter showing significantly higher symptoms of depression, anxiety, and stress (all p < .001). Elevated Distress group membership was linked to tobacco use and poor sleep quality, while poor HRQoL was associated with younger age at injury and Elevated Distress group membership. CONCLUSIONS: Using cluster methodology, we showed that one-third of young adults with childhood TBI had elevated emotional distress symptoms. This underscores the complex emotional profile of this subgroup and the need for assessment, analysis, and treatment methods that target a range of symptoms rather than relying on single-diagnostic protocols. ABBREVIATIONS: ANOVA: Analysis of Variance; CT: Computed Tomography; DASS: Depression Anxiety Stress Scale; GCS: Glasgow Coma Scale; HREC: Human Research Ethics Committee; HRQoL: Health-Related Quality of Life; IBM: International Business Machines Corporation; MRI: Magnetic Resonance Imaging; PTA: Post-Traumatic Amnesia; QoL: Quality of Life; QOLIBRI: Quality of Life after Brain Injury Scale; REDCap: Research Electronic Data Capture; SES: Socioeconomic Status; SPSS: Statistical Package for the Social Sciences; TBI: Traumatic Brain Injury.

Correlation Between Symptom Clusters and Self-Management Among Maintenance Haemodialysis Patients: A Cross-Sectional Study.

AIMS AND OBJECTIVES: The purpose of this study was to explore the relationship between symptom clusters and self-management among maintenance haemodialysis (MHD) patients. BACKGROUND: MHD patients experience disease progression and multiple symptom burdens that severely impact quality of life, and self-management of symptoms may significantly improve patient-reported outcomes. DESIGN: A cross-sectional study. METHODS: This cross-sectional descriptive study included 194 patients undergoing MHD. The patients were assessed using the Dialysis Symptom Index (DSI) and the Haemodialysis Self-Management Instrument (HD-SMI). We used descriptive analysis, exploratory factor analysis, Pearson's correlation analysis and linear regression analysis to examine (1) the level of individual self-management, (2) the presence of symptom clusters by symptom severity and (3) the correlation between symptom clusters and self-management behaviours. This study was conducted in accordance with the STROBE checklist. RESULTS: The top five most severe symptoms among the patients were itching, feeling tired or lack of energy, difficulty sleeping, dry mouth and dry skin. We identified five groups of symptoms: (1) poor sleep, (2) neuromuscular, (3) gastrointestinal, (4) skin irritation and (5) psychological. In the present study, MHD patients reported low to moderate levels of self-management behaviours (50.84 ± 10.56), and low self-management ability was correlated with greater severity of the five symptom clusters (p < 0.01). Linear regression analysis revealed that all five symptom clusters were included in the regression equation, explaining 30% of the total variance in self-management skills among MHD patients. CONCLUSION: Enhanced awareness of symptom clusters and comprehensive symptom management are necessary to improve patients' quality of life. CLINICAL RELEVANCE: Nursing practices should incorporate comprehensive symptom assessments to help patients develop effective self-management strategies to improve quality of life.

Symptom clusters and their impacts on the quality of life of patients with lung cancer receiving immunotherapy: A cross-sectional study.

AIM: The objective of this study was to identify symptom clusters in lung cancer patients receiving immunotherapy and explore their impact on the quality of life of patients. BACKGROUND: Immunotherapy is widely used in lung cancer; however, there is little understanding of symptom clusters and their impacts on the quality of life of this population. DESIGN: Cross-sectional study. METHODS: The survey contained the Memorial Symptom Assessment Scale (MSAS), Quality of Life Questionnaire-Lung Cancer 43 and a self-designed General Information Evaluation Form. Symptom clusters were identified using exploratory factor analysis (EFA) based on the symptom scores. Spearman correlation analysis was performed to evaluate the associations between each symptom cluster and the patients' quality of life. Multiple linear regression analysis was employed to examine the impact of the symptom clusters on quality of life. This study adhered to the STROBE guidelines. RESULTS: In total, 240 participants completed the survey. Five symptom clusters were identified and named according to their characteristics: emotional-related symptom cluster, lung cancer-related symptom cluster, physical symptom cluster, skin symptom cluster and neural symptom cluster. All symptom clusters, except for the neural symptom cluster, had a significantly detrimental impact on patient quality of life. CONCLUSION: Lung cancer patients undergoing immunotherapy experience a range of symptoms, which can be categorized into five clusters. These symptom clusters have a negative impact on patients' quality of life. Future research should focus on developing interventions for each symptom cluster and their influencing factors. PATIENT OR PUBLIC CONTRIBUTION: In the data collection phase, lung cancer patients undergoing immunotherapy were recruited to participate in the survey.

The Effect of Heart Failure Symptom Clusters on Quality of Life: The Moderating Effect of Self-Care Behaviours.

BACKGROUND: Although heart failure (HF) symptoms affect patients' quality of life (QoL), improving patients' QoL requires certain self-care behaviours. However, the specific role of self-care behaviours in the relationship between HF symptoms and QoL has not been clarified. AIMS: To evaluate the status of symptom clusters, self-care behaviours and QoL in HF patients, and to analyse and test the moderating effect of self-care behaviours between symptom clusters and QoL. DESIGN: This study is a cross-sectional study. METHODS: A total of 320 HF patients who treated in the three hospitals in Chengdu, China, from December 2022 to July 2023 were selected as the research subjects. The patients were evaluated using The General Information Questionnaire, Memorial Symptom Assessment Scale Heart Failure, Self-Care of Heart Failure Index and Minnesota Living with Heart Failure Questionnaire. The statistical analysis methods were exploratory factor analysis, Pearson correlation analysis, hierarchical regression analysis and simple slope analysis. RESULTS: There were five symptom clusters in HF patients: emotional symptom cluster (sadness, anxiety, irritability, feeling nervous), digestive symptom cluster (lack of appetite, dry mouth, weight loss, nausea, abdominal distension), ischemic symptom cluster (dizziness, chest pain, palpitations, fatigue), dyspnoea symptom cluster (difficulty breathing when lying flat, waking up breathless at night, sleep difficulty) and congestion symptom cluster (cough, shortness of breath, oedema). There was a significant correlation between HF symptom group, self-care behaviours and QoL (p < 0.05). Both self-care maintenance (ß = -0.262, p < 0.001) and self-care management (ß = -0.258, p < 0.001) had a moderating effect between symptom clusters and QoL. CONCLUSION: There are a variety of symptom clusters in HF patients. Improving the self-care behaviours ability of HF patients is conducive to reducing the impact of HF symptom clusters on QoL. REPORTING METHOD: The study used the STROBE checklist for reporting. RELEVANCE TO CLINICAL PRACTICE: Medical staff should focus on the impact of HF symptom clusters and self-care behaviours on QoL, and formulate corresponding interventions for HF symptom clusters and self-care behaviours to improve the QoL of patients. PATIENT OR PUBLIC CONTRIBUTION: The head nurse of the cardiovascular department actively assisted us in collecting questionnaires from HF patients, and all HF patients surveyed participated in this study seriously.

Posttraumatic Stress Disorder Symptom Clusters, Exposure to Potentially Morally Injurious Events, and Aggression Among Army Veterans.

OBJECTIVE: Very few studies have examined the association between posttraumatic stress disorder (PTSD) symptom clusters and aggression since the change in PTSD diagnosis criteria a decade ago. Furthermore, these studies have used measures based on PTSD criteria of the DSM-IV. The current study therefore examines the association between PTSD symptom clusters, exposure to potentially morally injurious events (PMIEs), and various types of aggression following the change in PTSD criteria and in accordance with the criteria of the DSM-5-TR. METHOD: A sample of 167 Israeli combat veterans completed validated self-report questionnaires tapping PTSD symptoms, exposure to PMIEs, and aggression levels. RESULTS: Our analysis revealed a significant positive relationship between the number of court-martials, betrayal-based PMIEs, all PTSD symptom clusters, and aggression. We also found that the arousal cluster, as well as the number of court-martials and age, predicted aggression, whereas the re-experiencing cluster predicted lower aggression levels. CONCLUSION: Besides an updated understanding of the association between all PTSD symptom clusters and various forms of aggression, these findings emphasize the importance of targeting arousal symptoms and especially anger in treatment of veterans with PTSD symptoms and those who report experiences of betrayal. The findings also suggest clinicians to consider arousal symptoms, age, and history of court-martials when conducting either clinical or actuarial risk assessments of veterans.

Development and validation of the scale for symptom clusters in patients with myasthenia gravis.

BACKGROUND: Patients with myasthenia gravis(MG)often experience multiple symptoms concurrently, which can have an adverse effect on their quality of life(QOL). However, a specific, systemic and reliable scale for symptom clusters in MG is lacking. AIMS: To develop reliable assessment scale for symptom clusters in patients with MG. DESIGN: A cross-sectional descriptive study. METHODS: Based on the unpleasant symptom theory(TOUS), the first draft of the scale was developed through review literature, qualitative interview, and Delphi expert correspondence, the items of the scale were presented and adjusted through cognitive interviews with 12 patients. To conveniently assess the validity and reliability of the scale, a cross-sectional survey was conducted in 283 patients with MG who were recruited from Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, from June to September 2021. RESULTS: The final symptom cluster scale for patients with MG consisted of 19 items(MGSC-19), with a content validity index ranging from 0.828 to 1.000 for each item and the content validity index was 0.980. Four common variables (ocular muscle weakness, general muscular weakness, treatment-related side effects, and psychiatric problems) were identified by exploratory factor analysis, which explained 70.187% of the total variance. The correlation coefficients between the scale dimension and the overall score ranged from 0.395 to 0.769 (all P < 0.01), while the correlation coefficients between dimensions varied from 0.324 to 0.510 (all P < 0.01). The Cronbach's alpha, retest reliability, and half reliability were 0.932, 0.845, and 0.837, respectively. CONCLUSION: The validity and reliability of MGSC-19 were generally good. This scale can be employed to identify the symptom clusters to help healthcare givers develop individualized symptom management measures for patients with MG.

Symptoms and symptom clusters in patients newly diagnosed with inflammatory bowel disease: results from the IBSEN III Study.

BACKGROUND: Patients with inflammatory bowel disease report multiple symptoms, but the relationships among co-occurring symptoms are poorly understood. This study aimed to examine the prevalence of symptoms and explore symptom clusters and possible associations between symptom clusters and socio-demographic and clinical variables in patients newly diagnosed with inflammatory bowel disease. METHODS: The IBSEN III study is a prospective population-based inception cohort of patients with inflammatory bowel disease. This study used patient data from the three largest hospitals in the study catchment area. The Memorial Symptom Assessment Scale was used to assess the prevalence of symptoms. Symptom clusters were identified using principal component analysis. Possible associations between socio-demographic and clinical variables and symptom cluster membership were estimated using regression analysis. RESULTS: Of the 573 patients (age, ≥18 years) diagnosed with inflammatory bowel disease, 350 (61.1%) completed the questionnaire (responders). Eleven symptoms were reported by >50% of the responders. The three most prevalent symptoms were bloating (84%), drowsiness (81%), and lack of energy (81%). Three symptom clusters were identified: psychological (56% of the patients), impaired energy (28%), and physical (16%) clusters. Multinomial regression analysis revealed that vitamin D deficiency was significantly associated with the impaired energy cluster (odds ratio=2.49, 95% confidence interval [1.00-6.2], p=0.05). CONCLUSIONS: We found high symptom prevalence in patients newly diagnosed with inflammatory bowel disease. Three distinct symptom clusters were identified, and the psychological cluster includes >50% of the patients. Vitamin D deficiency is the only factor associated with cluster membership, namely the impaired energy cluster.

Co-occurrence of symptoms after radiochemotherapy in locally advanced cervix cancer patients: a cluster analysis.

BACKGROUND: State of the art combined radiochemotherapy and image-guided brachytherapy for locally advanced cervical cancer (LACC) has shown improved disease control and survival as well as a significant reduction of organ related morbidity. However, LACC cancer survivors are still experiencing a spectrum of symptoms. The aim of this study was to identify co-occurring symptoms in cervix cancer survivors by using patient-reported outcome and physician assessed morbidity. MATERIALS AND METHOD: EMBRACE I is a multicenter prospective observational study with 1416 LACC patients (2008-2015). Information on physician-assessed morbidity and patient-reported outcome was assessed at baseline and at regular follow-ups up with the CTCAE v.3 and EORTC-C30/CX24, respectively. Patients with at least 2 years of follow-up were included and data from 3 months to 2 years was used in the analysis. Factor analysis was used on both EORTC and CTCAE data with symptoms and follow-ups as observations. The extracted factors represent clusters of symptoms. Subsequently, regression models were built to investigate associations between the symptom clusters and QOL. RESULTS: The analysis included 742 patients. Despite the differences in the definition of physician-assessed and patient-reported symptoms, similar clusters are identified by the two assessment methods. Three main organ-related clusters are recognized for urinary, gastro-intestinal and vaginal morbidity. Furthermore, a general symptoms cluster where fatigue, pain, insomnia, neuropathy, and hot flashes have large weights is found. Lastly, a cluster with nausea, vomit and lack of appetite is also identified. The general, gastrointestinal and nausea clusters show significant associations with general QOL. CONCLUSIONS: This analysis on both PRO and physician-assessed morbidity found a cluster associated with general symptoms and organ-related symptom clusters (urinary, gastrointestinal, vaginal). This shows that LACC survivors experience a variety of co-occurring symptoms. Our analysis also shows that the cluster of general symptoms is associated with a decrease in QOL.

Symptom burden survey and symptom clusters in patients with cervical cancer: a cross-sectional survey.

PURPOSE: The purpose of this study is to determine the incidence and severity of symptoms of patients with cervical cancer within 6 months after radiotherapy and chemotherapy, form a symptom burden report, evaluate the distribution characteristics of symptoms, identify symptom clusters, and provide a basis for clinical doctors and nurses to improve the symptom management of patients with cervical cancer after radiotherapy and chemotherapy. METHODS: The patients with cervical cancer within 6 months after radiotherapy and chemotherapy were recruited to investigate their symptom burden. Exploratory factor analysis was used to identify symptom clusters. RESULTS: A total of 250 patients participated in the study. The study found that the most common symptom among the 40 symptoms was fatigue, and the most serious symptom was nocturia. Based on the occurrence rate and severity of symptoms, nine symptom clusters were identified, including psycho-emotion-related symptom cluster, pain-disturbed sleep-related symptom cluster, menopausal symptom cluster, tinnitus-dizziness-related symptom cluster, urinary-related symptom cluster, dry mouth-bitter taste-related symptom cluster, intestinal-related symptom cluster, memory loss-numbness-related symptom cluster, and emaciation-related symptom cluster. The three most serious symptom clusters are pain-disturbed sleep-related symptom cluster, urinary-related symptom cluster, and memory loss-numbness-related symptom cluster. CONCLUSION: The symptoms of patients with cervical cancer within 6 months after radiotherapy and chemotherapy are complex, and nine symptom clusters can be identified according to the incidence and severity of symptoms. We can find the potential biological mechanism of each symptom cluster through the discussion of previous mechanism research and clinical research. The number of symptom clusters and the number of symptoms within the symptom cluster are closely related to the symptom evaluation scale selected for the study. Therefore, the symptom cluster study urgently needs a targeted symptom evaluation scale that can comprehensively reflect the patient's condition.

Impact of an outpatient palliative care consultation and symptom clusters in terminal patients at a tertiary care center in Pakistan.

BACKGROUND: Patients with terminal diseases may benefit physically and psychosocially from an outpatient palliative care visit. Palliative care services are limited in Pakistan. An improved understanding of the symptom clusters present in our population is needed. The first outpatient palliative care center in Karachi, Pakistan, was established at our tertiary care institution. The primary aim of this study was to evaluate the impact of a palliative care outpatient consultation on symptom burden in patients with a terminal diagnosis. The secondary aim was to analyze the symptom clusters present in our population. METHODS: Patients with a terminal diagnosis referred to our outpatient palliative department between August 2020-August 2022 were enrolled. The Edmonton Symptom Assessment Scale (ESAS) questionnaire was administered at the initial visit and the first follow-up visit at one month. Change in symptom burden was assessed using a Wilcoxon signed ranks test. A principal component analysis with varimax rotation was performed on the symptoms reported at the initial visit to evaluate symptom clusters. The palliative performance scale (PPS) was used to measure the performance status of palliative care patients. RESULTS: Among the 78 patients included in this study, the average age was 59 ± 16.6 years, 52.6% were males, 99% patients had an oncological diagnosis, and the median duration between two visits was 14 (Q1-Q3: (7.0, 21.0) days. The median PPS level was 60% (Q1-Q3: 50-70). Overall, ESAS scores decreased between the two visits (6.0 (2.8, 11.0), p < 0.001) with statistically significant improvement in pain (5.0 vs. 2.5, p < 0.001), loss of appetite (5.0 vs. 4.0, p = 0.004), depression (2.0 vs. 0.0, p < 0.001), and anxiety (1.5 vs. 0.0, p = 0.032). Based on symptoms at the initial visit, 3 clusters were present in our population. Cluster 1 included anxiety, depression, and wellbeing; cluster 2 included nausea, loss of appetite, tiredness, and shortness of breath; and cluster 3 included drowsiness. CONCLUSION: An outpatient palliative care visit significantly improved symptom burden in patients with a terminal diagnosis. Patients may benefit from further development of outpatient palliative care facilities to improve the quality of life in terminally ill patients.

Identification of postpartum symptom subgroups and associated long-term maternal depressive symptoms and well-being.

Many postpartum women experience postpartum symptoms which often occur in clusters (i.e., three or more co-occurring symptoms that are related to each other). To date, research has focused on individual symptoms, which limits our understanding of how postpartum symptom clusters manifest and influence health. This secondary analysis used the Community and Child Health Network study data (N = 1784). No patient or public directly participated or contributed to the current analysis. Guided by the Symptom Management Theory, latent class analysis was performed to identify subgroups of postpartum women with different symptom experiences using observed variables at 6 months postpartum: anxiety (MINI-anxiety), general stress (PSS-10), posttraumatic stress (PCL-C), postpartum depression (EPDS), sleep disturbance (PSQI-sleep disturbance), and sleep duration (PSQI-sleep duration). Bivariate and multiple regression analyses were conducted to examine the association between subgroups and (a) individual characteristics and (b) long-term depressive symptoms (CES-D-9) and well-being at 18 and/or 24 months postpartum. Five subgroups were selected that had better-fit indices, entropy, and interpretability. Subgroups were labeled as (1) Minimum overall, (2) Mild-moderate overall, (3) Moderate-high sleep symptoms, (4) High psychological symptoms, and (5) High overall. After adjusting for covariates, postpartum women in Subgroups 4 and 5 had higher CES-D-9 scores at 18 and 24 months and lower well-being scores at 24 months. More postpartum women in Subgroups 4 and 5 experienced a history of depression or unemployment. Clinicians should provide targeted interventions for postpartum women in high-symptom subgroups.

Effects of symptom clusters on quality of life mediated by self-efficacy among individuals with myasthenia gravis: A structural equation modelling analysis.

AIMS AND OBJECTIVES: To determine whether self-efficacy mediates the relationship between Symptom Clusters (SC) and quality of life (QOL) in patients with myasthenia gravis (MG). BACKGROUND: The QOL in patients with MG can be affected not only by the SC but the self-efficacy in previous studies, while the latter may also be contributed by the former. However, it is still unclear whether self-efficacy mediates the relationship between SC and QOL in patients with MG. DESIGN: A cross-sectional survey was conducted in patients with MG who were recruited from our institution from October 2021 to March 2022, which was reported in line with the STROBE guidelines. METHODS: The hypothetical model was tested and all the effects of SC and self-efficacy on QOL were estimated based on structural equation modelling (SEM) analysis after conducting a confirmatory factor analysis of the scales in a separate cohort. RESULTS: Three scales for symptoms (four summated items), self-efficacy (four plus one parcelled item) and MG-QOL (three summated items) were validated according to the confirmatory factor analysis in 72 patients. An SEM analysis of another 310 participants revealed that SC exerted significant direct effects on QOL and self-efficacy, with values of .585 and -.293, respectively, and self-efficacy also had a significant effect on QOL (-.141). The indirect effect of SC on QOL via self-efficacy was .041, accounting for 6.6% of the overall effect. Male and female patients did not differ in the direct and indirect effects of symptoms on QOL. CONCLUSIONS: This study suggests that, although self-efficacy partially mediates the relationship between SC and QOL in patients with MG, worsening of symptoms remains the leading contributor to the decreased QOL. RELEVANCE TO CLINICAL PRACTICE: These results may provide a potential clue for doctors, nurses, and other caregivers to optimise treatment strategies for targeted patients with MG. PATIENT OR PUBLIC CONTRIBUTION: Involved in developing and answering research questions, management and conduct.

Moving beyond Table 1: A critical review of the literature addressing social determinants of health in chronic condition symptom cluster research.

Variability in the symptom experience in patients diagnosed with chronic conditions may be related to social determinants of health (SDoH). The purpose of this critical review was to (1) summarize the existing literature on SDoH and symptom clusters (i.e., multiple, co-occurring symptoms) in patients diagnosed with common chronic conditions, (2) evaluate current variables and measures used to represent SDoH, (3) identify gaps in the evidence base, and (4) provide recommendations for the incorporation of SDoH into future symptom cluster research. We identified 118 articles including information on SDoH in chronic condition symptom cluster research. Articles primarily focused on cancer populations. Few articles had the explicit purpose of investigating relationships between SDoH and symptom clusters, and the inclusion of SDoH was often limited to variables used to describe samples. Future studies should be designed to "move beyond Table 1" in their utilization of SDoH as variables and examine relationships between SDoH and symptom clusters. Attention should be paid to the appropriateness of measures being used to collect information on SDoH, and analysis methods that estimate causal connections between variables should be considered. Research regarding the relationship of SDoH with symptom clusters in patients with chronic conditions has the potential to reveal mechanisms of symptom disparities and guide changes to alleviate these disparities.