Multiple Symptom Clusters Research Articles

Symptom clusters of patients with advanced thyroid cancer: a cross-sectional study.

To investigate and analyze the symptom clusters of patients with advanced thyroid cancer and provide a basis for developing targeted symptom management measures. Patients who visited a multidisciplinary outpatient service for advanced thyroid cancer at a tertiary A hospital in Sichuan Province from April 2022 to April 2023 were selected using convenience sampling. A cross-sectional survey was conducted using the M.D. Anderson Symptom Inventory-Thyroid Cancer module (MDASI-THY). Symptom clusters were extracted by exploratory factor analysis. Disturbed sleep had the highest incidence (75.7%) and severity (3.0 points), while mood distress had the highest incidence (63.5%) and severity (2.0 points) of symptom interference. Three symptom clusters were identified: mood-fatigue-sleep, digestive tract-sensation, and thyroid cancer-specific symptom clusters. Patients with advanced thyroid cancer have multiple symptom clusters that seriously affect their daily lives. Health care professionals should conduct targeted observation and preventive treatment to reduce the burden of symptoms on patients.

Symptom clusters and unplanned hospital readmission in Chinese patients with acute myocardial infarction on admission.

Acute myocardial infarction (AMI) has a high morbidity rate, high mortality rate, high readmission rate, high health care costs, and a high symptomatic, psychological, and economic burden on patients. Patients with AMI usually present with multiple symptoms simultaneously, which are manifested as symptom clusters. Symptom clusters have a profound impact on the quality of survival and clinical outcomes of AMI patients. The purpose of this study was to analyze unplanned hospital readmissions among cluster groups within a 1-year follow-up period, as well as to identify clusters of acute symptoms and the characteristics associated with them that appeared in patients with AMI. Between October 2021 and October 2022, 261 AMI patients in China were individually questioned for symptoms using a structured questionnaire. Mplus 8.3 software was used to conduct latent class analysis in order to find symptom clusters. Univariate analysis is used to examine characteristics associated with each cluster, and multinomial logistic regression is used to analyze a cluster membership as an independent predictor of hospital readmission after 1-year. Three unique clusters were found among the 11 acute symptoms: the typical chest symptom cluster (64.4%), the multiple symptom cluster (29.5%), and the atypical symptom cluster (6.1%). The cluster of atypical symptoms was more likely to have anemia and the worse values of Killip class compared with other clusters. The results of multiple logistic regression indicated that, in comparison to the typical chest cluster, the atypical symptom cluster substantially predicted a greater probability of 1-year hospital readmission (odd ratio 8.303, 95% confidence interval 2.550-27.031, P < 0.001). Out of the 11 acute symptoms, we have found three clusters: the typical chest symptom, multiple symptom, and atypical symptom clusters. Compared to patients in the other two clusters, those in the atypical symptom cluster-which included anemia and a large percentage of Killip class patients-had worse clinical indicators at hospital readmission during the duration of the 1-year follow-up. Both anemia and high Killip classification suggest that the patient's clinical presentation is poor and therefore the prognosis is worse. Intensive treatment should be considered for anemia and high level of Killip class patients with atypical presentation. Clinicians should focus on patients with atypical symptom clusters, enhance early recognition of symptoms, and develop targeted symptom management strategies to alleviate their discomfort in order to improve symptomatic outcomes.

Symptom clusters and characteristics of cervical cancer patients receiving concurrent chemoradiotherapy: A cross-sectional study

BackgroundCervical cancer patients have a high symptom burden during concurrent chemoradiotherapy (CCRT) and urgently need precise symptom management strategies. Nonetheless, the symptom profile and influencing factors are unclear. MethodsA total of 234 patients with cervical cancer who underwent CCRT in a tertiary care hospital clinical oncology center in Guangxi Zhuang Autonomous Region from March 2022 to March 2023 were included in the study. The general information questionnaire, M.D. Anderson symptom inventory, Fatigue Scale-14, Pittsburgh Sleep Quality Index, and grip strength test were used for the investigation. Symptom clusters were extracted by exploratory factor analysis, and latent profile analysis was performed using Mplus 8.0 software. Multinomial logistic regression was used to explore the factors influencing the potential categories of symptom clusters. ResultsExploratory factor analysis extracted four symptom clusters: a fatigue-related symptom cluster, a gastrointestinal-related symptom cluster, a mood-related symptom cluster, and a physical-related symptom cluster, of which the fatigue-related symptom cluster was more severe and was divided into three potential categories: low fatigue-good muscle fitness type (25.63%), general fatigue-moderate muscle fitness type (68.37%) and high fatigue-low muscle fitness type (6%). Multinomial logistic regression analysis showed that hemoglobin levels, tumor stage, absence of complications, and unemployment were factors influencing the fatigue-related symptom cluster in patients undergoing CCRT for cervical cancer. ConclusionsCervical cancer patients experience multiple symptom clusters during CCRT. Different characteristics appeared in different clusters. Among them, fatigue-related symptom clusters were more severe and heterogeneous. In clinical practice, we should pay attention to and use high symptom feature predictors, focusing on the core symptoms that play a dominant role, achieving early identification and management, and reducing patients' symptom burden.

Multiple myeloma patients undergoing chemotherapy: Which symptom clusters impact quality of life?

To identify symptom clusters and examine their association with health-related quality of life. Multiple myeloma patients undergoing chemotherapy suffer from disease symptoms and adverse effects during the course of the disease. However, single symptom management has little effect, and symptom management for these patients remains challenging. Symptom clusters open a new perspective and provide important clues for symptom management. A cross-sectional study. Participants were invited to complete the Chinese version of the Memorial Symptom Assessment Scale and Quality of Life Questionnaire-core 30. Appropriate indicators were used for descriptive statistics. Principal component analysis was used to identify symptom clusters. Associations between symptom clusters and quality of life were examined with Pearson correlation coefficients, Pearson correlation matrix and multiple linear regression. This study was reported following the STROBE checklist. A total of 177 participants were recruited from seven hospitals in this study. We identified self-image disorder, psychological, gastrointestinal, neurological, somatic and pain symptom clusters in multiple myeloma patients with chemotherapy. Approximately 97.65% of patients suffer from multiple symptom clusters. The pain, psychological and gastrointestinal symptom clusters have negatively influence on health-related quality of life. The strongest association was found with the pain symptom cluster. Most of multiple myeloma patients suffer from multiple symptom clusters. When improving the multiple myeloma patients' health-related quality of life, the clinical staff should prioritise relieving the pain symptom cluster. When multiple myeloma patients undergoing chemotherapy suffer from multiple symptom clusters, nurses should prioritise relieving the pain symptom cluster to improve their health-related quality of life. When drawing up and providing interventions, nurses should focus on the correlation among symptoms rather than single symptom. By relieving one symptom in a given cluster, other symptoms within the same symptom cluster may also be relieved.

Exploration of symptom clusters during hemodialysis and symptom network analysis of older maintenance hemodialysis patients: a cross-sectional study

BackgroundSymptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have established networks of symptoms experienced by older patients on maintenance hemodialysis. Our goal was to examine the type of symptom clusters of older maintenance hemodialysis patients during dialysis and construct a symptom network to understand the symptom characteristics of this population.MethodsThe modified Dialysis Symptom Index was used for a cross-sectional survey. Network analysis was used to analyze the symptom network and node characteristics, and factor analysis was used to examine symptom clusters.ResultsA total of 167 participants were included in this study. The participants included 111 men and 56 women with a mean age of 70.05 ± 7.40. The symptom burdens with the highest scores were dry skin, dry mouth, itching, and trouble staying asleep. Five symptom clusters were obtained from exploratory factor analysis, of which the clusters with the most severe symptom burdens were the gastrointestinal discomfort symptom cluster, sleep disorder symptom cluster, skin discomfort symptom cluster, and mood symptom cluster. Based on centrality markers, it could be seen that feeling nervous and trouble staying asleep had the highest strength, and feeling nervous and feeling irritable had the highest closeness and betweenness.ConclusionsHemodialysis patients have a severe symptom burden and multiple symptom clusters. Dry skin, itching, and dry mouth are sentinel symptoms in the network model; feeling nervous and trouble staying asleep are core symptoms of patients; feeling nervous and feeling irritable are bridge symptoms in this symptom network model. Clinical staff can formulate precise and efficient symptom management protocols for patients by using the synergistic effects of symptoms in the symptom clusters based on sentinel symptoms, core symptoms, and bridge symptoms.

Distress among cancer patients attending rehabilitation in the community

PurposeThe aim of this study is to identify sources of distress among cancer patients attending rehabilitation in the community.MethodsParticipants were 430 patients recruited from a cancer rehabilitation center in Singapore between 2017 and 2018, who had rated their distress using the distress thermometer (DT) and indicated associated problems on the problem list. Chi-square tests were used to detect differences in the reported symptoms among three age groups. Exploratory factor analysis was used to identify symptom clusters. Partial correlational analysis was then performed to examine the relationship between distress, symptom clusters, and age controlling for gender and cancer type.ResultsAbout 30% of the participants reported distress ≥ 5 on the DT (mean 3.3 ± 2.5), and the mean number of problems endorsed was 8 ± 6. A higher total number of reported problems (r = .63) and younger age (r = − .21) were associated with increased distress. The younger age group also reported more problems surrounding emotions, finance, work/school, children-related issues, and physical symptoms such as sleep and nausea. Of the 12 factors identified, 9 psychosocial and physical symptom clusters correlated with distress (r ranging from .12 to .41). All results were statistically significant after adjustment (p ≤ 0.05).ConclusionYounger survivors are more at risk of distress and report greater role functioning concerns related to childcare, partner relationship, and work participation. Age-tailored and multimodal interventions may be necessary to adequately address age-related differences and help coordinate management of multiple symptom clusters across physical and psychosocial concerns.

Correlation Between Symptom Clusters and Quality of Life in Children With Acute Leukemia During Chemotherapy.

Children with acute leukemia experience various distressing symptoms due to the disease and its treatment during chemotherapy. These symptoms cluster together and have negative impacts on patient outcomes. The aim of this study was to examine symptom clusters that children with acute leukemia undergoing chemotherapy are experiencing and the impact of these symptom clusters on their quality of life. A cross-sectional study design was used, and 184 Chinese children with acute leukemia who were undergoing chemotherapy were invited to participate in the study. Memorial Symptom Assessment Scale 10-18 and Pediatric Quality of Life Inventory General Core Module version 4.0 were applied. Exploratory factor analysis and multiple regression were used to identify symptom clusters and their influence on the quality of life. Six symptom clusters were identified as gastrointestinal, emotional, neurological, skin mucosal, self-image disorder, and somatic cluster. The severity of each symptom cluster was negatively correlated with quality of life. Among them, gastrointestinal, emotional, and somatic clusters were significant predictors of quality of life. There are multiple symptom clusters in children with acute leukemia, which seriously affect children's quality of life. To relieve symptom burden and improve quality of life, nursing and medical staff should pay attention to the symptom management and control in a symptom cluster perspective. The results of this study will provide suggestions for the healthcare provider to plan for these symptoms and manage any concurrent symptoms for the successful promotion of children's quality of life.

Symptom clusters in head and neck cancer patients with endotracheal tube: Which symptom clusters are independently associated with health-related quality of life?

The point of view of symptom clusters (SCs) may develop an efficient symptom management strategy to enhance health-related quality of life (HRQoL) in head and neck (HNC) patients with endotracheal tube (ETT). The study aims to investigate the possible SCs in HNC patients with ETT and determine whether there was an independent relationship between one or more SCs and HRQoL. A cross-sectional study design was adopted, and 203 HNC patients with ETT were recruited. They took measurements of General Information Questionnaire, MD Anderson Symptom Inventory-Head & Neck, and Twelve-Item Short-Form Health Survey (SF-12). Spearman correlations, partial correlations, and hierarchical cluster analysis were performed to determine latent number of SCs, and covariance analyses were used to determine independent associations between SCs and SF-12. This study followed STROBE Statement. Pain SCs (pain, distressed, short of breath, and sadness), fatigue SCs (fatigue/weakness, restless, and sleepy), digestive SCs (appetite loss, constipation, and nausea), HNC-specific SCs (dry mouth and mucus), and tracheostomy-related SCs (difficulty swallowing and difficulty with voice and speech) were found. After adjusting covariant variables, this study found independent relationships of pain SCs and fatigue SCs with physical component summary of SF-12, and between fatigue SCs and mental component summary of SF-12. Multiple SCs were found in those HNC patients. Pain SCs and fatigue SCs were independently associated with HRQoL. In process of caring HNC patients with ETT, it is vital to focus on SCs, especially on pain SCs and fatigue SCs, which might effectively improve patients' HRQoL.

Patterns of symptoms before a diagnosis of first episode psychosis: a latent class analysis of UK primary care electronic health records

BackgroundThe nature of symptoms in the prodromal period of first episode psychosis (FEP) remains unclear. The objective was to determine the patterns of symptoms recorded in primary care in the 5 years before FEP diagnosis.MethodsThe study was set within 568 practices contributing to a UK primary care health record database (Clinical Practice Research Datalink). Patients aged 16–45 years with a first coded record of FEP, and no antipsychotic prescription more than 1 year prior to FEP diagnosis (n = 3045) was age, gender, and practice matched to controls without FEP (n = 12,180). Fifty-five symptoms recorded in primary care in the previous 5 years, categorised into 8 groups (mood-related, ‘neurotic’, behavioural change, volition change, cognitive change, perceptual problem, substance misuse, physical symptoms), were compared between cases and controls. Common patterns of symptoms prior to FEP diagnosis were identified using latent class analysis.ResultsMedian age at diagnosis was 30 years, 63% were male. Non-affective psychosis (67%) was the most common diagnosis. Mood-related, ‘neurotic’, and physical symptoms were frequently recorded (> 30% of patients) before diagnosis, and behavioural change, volition change, and substance misuse were also common (> 10%). Prevalence of all symptom groups was higher in FEP patients than in controls (adjusted odds ratios 1.33–112). Median time from the first recorded symptom to FEP diagnosis was 2–2.5 years except for perceptual problem (70 days). The optimal latent class model applied to FEP patients determined three distinct patient clusters: ‘no or minimal symptom cluster’ (49%) had no or few symptoms recorded; ‘affective symptom cluster’ (40%) mainly had mood-related and ‘neurotic’ symptoms; and ‘multiple symptom cluster’ (11%) consulted for three or more symptom groups before diagnosis. The multiple symptom cluster was more likely to have drug-induced psychosis, female, obese, and have a higher morbidity burden. Affective and multiple symptom clusters showed a good discriminative ability (C-statistic 0.766; sensitivity 51.2% and specificity 86.7%) for FEP, and many patients in these clusters had consulted for their symptoms several years before FEP diagnosis.ConclusionsDistinctive patterns of prodromal symptoms may help alert general practitioners to those developing psychosis, facilitating earlier identification and referral to specialist care, thereby avoiding potentially detrimental treatment delay.

Symptom Clusters and Influencing Factors in Children With Acute Leukemia During Chemotherapy.

Acute leukemia is the most common malignancy in childhood. Identification of symptom clusters and their influencing factors in children with acute leukemia may improve the management of symptoms. The aims of this study were to investigate symptom clusters in children with acute leukemia during chemotherapy and analyze the factors influencing their severity. A cross-sectional survey was administered to 159 Chinese children with acute leukemia during chemotherapy. A demographic questionnaire and the Memorial Symptom Assessment Scale 10-18 were completed by the patients and their parents. Exploratory factor analysis was used to identify symptom clusters. Univariate analyses and multiple linear regression analyses were performed to analyze the factors affecting symptom clusters. Six clusters were identified, including gastrointestinal cluster, emotional cluster, head-related cluster, self-image disorder cluster, skin itching/irritation cluster, and somatic cluster. Factors influencing the severity of symptom clusters included age, gender, stage of chemotherapy, and medical reimbursement. There are multiple symptom clusters in children with acute leukemia during chemotherapy. Medical care staff should manage symptoms from the perspective of symptom cluster and carry out personalized interventions according to factors influencing these clusters. The ability to predict symptom clusters in children with acute leukemia undergoing chemotherapy may assist with optimal clinical decision making in order to alleviate the symptom burden and improve children's quality of life.

Correlation study on symptom clusters and quality of life in patients with advanced non-small cell lung cancer

Objective To explore the symptoms and clusters of patients with advanced non-small cell lung cancer (NSCLC) , and to discuss the correlation between their symptom clusters and quality of life. Methods A total of 150 patients who were diagnosed of advanced NSCLC in Nanjing Chest Hospital between January 2015 and December 2016 were selected by convenience sampling. The patients' basic information was collected, and their symptoms and quality of life were evaluated with M. D. Anderson symptom inventory (MDASI) and functional assessment of cancer therapy-lung (FACT-L) . The symptom clusters were extracted by principal component analysis, and the correlation between symptom clusters and the quality of life were then explored through correlation analysis and multivariate regression analysis. Results The top 3 symptoms in terms of severity in the 150 advanced NSCLC patients were fatigue, poor appetite and shortness of breath, while the top 3 symptoms in terms of frequency were fatigue, poor appetite and distress. Totally 4 symptom clusters were extracted by principal component analysis, including the emotional symptom cluster, the fatigue cluster, the illness perception cluster and the gastrointestinal tract cluster. The 4 symptom clusters were negatively correlated with the quality of life (r=-0.359- -0.721, P<0.05) . According to the multivariate regression analysis, the gastrointestinal tract and fatigue clusters were the main factors contributing to the life quality in advanced NSCLC patients (R2=0.522, P<0.05) . Conclusions Advanced NSCLC patients were plagued with multiple symptom clusters. Therefore, nursing staff should build an efficient symptom management pattern to improve their quality of life. Key words: Carcinoma, non-small cell lung; Quality of life; Nursing care; Symptom cluster

Mindfulness-Based Stress Reduction in Post-treatment Breast Cancer Patients: Immediate and Sustained Effects Across Multiple Symptom Clusters

ContextBreast cancer survivors (BCS) face adverse physical and psychological symptoms, often co-occurring. Biologic and psychological factors may link symptoms within clusters, distinguishable by prevalence and/or severity. Few studies have examined the effects of behavioral interventions or treatment of symptom clusters. ObjectivesThe aim of this study was to identify symptom clusters among post-treatment BCS and determine symptom cluster improvement following the Mindfulness-Based Stress Reduction for Breast Cancer (MBSR(BC)) program. MethodsThree hundred twenty-two Stage 0–III post-treatment BCS were randomly assigned to either a six-week MBSR(BC) program or usual care. Psychological (depression, anxiety, stress, and fear of recurrence), physical (fatigue, pain, sleep, and drowsiness), and cognitive symptoms and quality of life were assessed at baseline, six, and 12 weeks, along with demographic and clinical history data at baseline. A three-step analytic process included the error-accounting models of factor analysis and structural equation modeling. ResultsFour symptom clusters emerged at baseline: pain, psychological, fatigue, and cognitive. From baseline to six weeks, the model demonstrated evidence of MBSR(BC) effectiveness in both the psychological (anxiety, depression, perceived stress and QOL, emotional well-being) (P = 0.007) and fatigue (fatigue, sleep, and drowsiness) (P < 0.001) clusters. Results between six and 12 weeks showed sustained effects, but further improvement was not observed. ConclusionOur results provide clinical effectiveness evidence that MBSR(BC) works to improve symptom clusters, particularly for psychological and fatigue symptom clusters, with the greatest improvement occurring during the six-week program with sustained effects for several weeks after MBSR(BC) training. Trial RegistrationName and URL of Registry: ClinicalTrials.gov. Registration number: NCT01177124.

Treatment-Refractory Schizophrenia

Article Abstract Because this piece does not have an abstract, we have provided for your benefit the first 3 sentences of the full text. Schizophrenia is arguably the most complex, heterogeneous, and disabling neuropsychiatric syndrome, with multiple symptom clusters. The 2 generations of pharmacologic agents used for the treatment of schizophrenia are called antipsychotics for a good reason, because all they treat are the psychotic symptoms such as delusions, hallucinations, and bizarre behavior. The subtype of patients whose psychotic symptoms fail to respond to these agents carries the label treatment refractory.

Partial mGlu₅ Negative Allosteric Modulators Attenuate Cocaine-Mediated Behaviors and Lack Psychotomimetic-Like Effects.

Cocaine abuse remains a public health concern for which pharmacotherapies are largely ineffective. Comorbidities between cocaine abuse, depression, and anxiety support the development of novel treatments targeting multiple symptom clusters. Selective negative allosteric modulators (NAMs) targeting the metabotropic glutamate receptor 5 (mGlu5) subtype are currently in clinical trials for the treatment of multiple neuropsychiatric disorders and have shown promise in preclinical models of substance abuse. However, complete blockade or inverse agonist activity by some full mGlu5 NAM chemotypes demonstrated adverse effects, including psychosis in humans and psychotomimetic-like effects in animals, suggesting a narrow therapeutic window. Development of partial mGlu5 NAMs, characterized by their submaximal but saturable levels of blockade, may represent a novel approach to broaden the therapeutic window. To understand potential therapeutic vs adverse effects in preclinical behavioral assays, we examined the partial mGlu5 NAMs, M-5MPEP and Br-5MPEPy, in comparison with the full mGlu5 NAM MTEP across models of addiction and psychotomimetic-like activity. M-5MPEP, Br-5MPEPy, and MTEP dose-dependently decreased cocaine self-administration and attenuated the discriminative stimulus effects of cocaine. M-5MPEP and Br-5MPEPy also demonstrated antidepressant- and anxiolytic-like activity. Dose-dependent effects of partial and full mGlu5 NAMs in these assays corresponded with increasing in vivo mGlu5 occupancy, demonstrating an orderly occupancy-to-efficacy relationship. PCP-induced hyperlocomotion was potentiated by MTEP, but not by M-5MPEP and Br-5MPEPy. Further, MTEP, but not M-5MPEP, potentiated the discriminative-stimulus effects of PCP. The present data suggest that partial mGlu5 NAM activity is sufficient to produce therapeutic effects similar to full mGlu5 NAMs, but with a broader therapeutic index.

The identification of multiple symptom clusters and their effects on functional performance in cancer patients

To identify cancer-related symptom clusters, to explore their inter-relationships and to examine the effects of single symptoms and the synergistic effects of symptom clusters on functional performance using path analysis by structural equation modelling in patients with various types of cancer. Recent studies suggest that cancer patients frequently experience three or more concurrent related symptoms and that this clustering of symptoms is likely to have negative synergistic impacts on outcomes, because of the complicated dynamics of clusters. A cross-sectional design. One hundred and ten patients with various types of cancer were recruited as in- and out-patients at a University Hospital in Incheon, South Korea. Data collection was performed using a questionnaire and by direct interview. Pain, insomnia, fatigue, depression and functional performance were measured. The developed model was composed of antecedents, symptom clusters and outcomes. Of the symptoms often encountered as clusters in cancer patients, insomnia, depression and fatigue were found to have significant single (direct) effects on functional performance. Seven symptom clusters were identified between pain and functional performance, three between insomnia and functional performance and one between depression and functional performance. These single symptoms and symptom clusters were found to have significant synergistic effects on functional performance and to explain 24% of functional performance variance. Multiple cancer-related symptom clusters may occur and the dynamics within symptom clusters is complicated. Our findings provide sound evidence regarding the importance of assessing and managing clusters of symptoms simultaneously rather than focusing on single symptoms. A comprehensive understanding of symptom clusters in cancer patients would help establish valid diagnostic symptom cluster entities and aid the development of subjective/objective phenotypic criteria for symptom cluster based diagnoses and of nursing care protocols for managing symptom clusters.