Differential symptom cluster responses and predictors to repetitive transcranial magnetic stimulation treatment in Parkinson's disease: A retrospective study.

Background: Repetitive transcranial magnetic stimulation (rTMS) is an effective noninvasive neuromodulation technique for Parkinson's disease (PD). However, the efficacy of rTMS varies widely between individuals. This study aimed to investigate the factors related to the response to rTMS in PD patients. Methods: We retrospectively analyzed the response of 70 idiopathic PD patients who underwent rTMS for 14 consecutive days targeting the supplementary motor area (SMA) in either an open-label trail (n = 31) or a randomized, double-blind, placebo-controlled trial (RCT) (n = 39). The motor symptoms of PD patients were assessed by the United Parkinson's Disease Rating Scale Part III (UPDRSIII). Based on previous studies, the UPDRSIII were divided into six symptom clusters: axial dysfunction, resting tremor, rigidity, bradykinesia affecting right and left extremities, and postural tremor. Subsequently, the efficacy of rTMS to different motor symptom clusters and clinical predictors were analyzed in these two trails. Results: After 14 days of treatment, only the total UPDRSIII scores and rigidity scores improved in both the open-label trial and the RCT. The results of multiple linear regression analysis indicated that baseline rigidity scores (ß = 0.37, p = 0.047) and RMT (ß = 0.30, P = 0.02) positively predicted the improvement of UPDRSIII. The baseline rigidity score (ß = 0.55, P < 0.0001) was identified as an independent factor to predict the improvement of rigidity. Conclusion: This study demonstrated significant improvements in total UPDRSIII scores and rigidity after 14-day treatment, with baseline rigidity scores and RMT identified as predictors of treatment response, underscoring the need for individualized therapy.

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.

Identification of symptom clusters and change trajectories in patients with acute exacerbation of chronic obstructive pulmonary disease.

Aim and objectives: This study aimed to identify symptom cluster (SC) patterns and change trajectories in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD), the correlation of the SCs with laboratory and imaging indicators, and the intrinsic association of the SCs with prognostic outcomes and disease burden. Method: Symptom information was collected using a digital evaluation scoring system at the time of admission, on the third day after admission, and upon discharge. Laboratory and imaging examination data were compiled simultaneously. Exploratory factor analysis was used to identify the AECOPD SCs. The number of factors (clusters) was determined by examining factors with eigenvalues ≥1.0, using 0.50 for factor loadings as the minimum cut-off value. Spearman's correlation analysis was used to explore the link between the SCs and laboratory and imaging indicators, as well as the relationship between the severity of the symptoms in different clusters, prognostic outcomes, and disease burden. Results: This study included 148 patients. Three SCs were identified: activity-nutrition SC, breath-sleep SC and respiratory SC. Correlation analysis indicated a connection between the activity-nutrition SC and the white blood cell count, and serum sodium and potassium levels, whereas the breath-sleep SC was correlated with white blood cells and eosinophil counts, serum potassium level, and pleural effusion. Additionally, the respiratory SC was associated with serum calcium and magnesium levels, the partial pressure of carbon dioxide, and C-reactive protein (CRP) level. There was a positive correlation between the activity-nutrition SC and hospitalization cost, as well as between the breath-sleep SC and both the hospitalization length and cost. Conclusion: Patients with AECOPD presented three SCs that affected the length and cost of hospitalization. Concurrently, the severity of the symptoms in the clusters was related to white blood cell and eosinophil counts; serum sodium, potassium, calcium, and magnesium levels; CRP level; the partial pressure of carbon dioxide; and pleural effusion, indicating that the symptoms in each clusters may share related physiological mechanisms. An in-depth exploration of the pathogenesis and intervention paths of health problems is of great significance for promoting precision nursing.

Body image, illness uncertainty and symptom clusters in surgically treated breast cancer survivors: An exploratory factor analysis and correlational study.

PURPOSE: To determine the relationship among body image, illness uncertainty, and symptom clusters in surgically treated breast cancer survivors. METHODS: A correlational, descriptive study was conducted in a convenience sample of 60 women surgically treated breast cancer survivors recruited in a private hospital and a survivor center. A questionnaire of sociodemographic characteristics, MUIS-C Scale, and QLQ-C30 and Module BR-23 were used. Variable characteristics and associations were analyzed with descriptive statistics and Pearson correlation coefficient, and exploratory factor analysis using unweighted least squares and Promax rotation was used for symptom clustering. RESULTS: A three-factor structure was found: an anxiety symptom cluster, a breast symptom cluster, and an arm symptoms, depression, and fatigue symptom cluster, explaining 46,47% of the variance. Significant correlations were found among body image and illness uncertainty (r = -0,390, p < 0,01), body image and the anxiety symptom cluster (r = 0,613, p < 0,01), illness uncertainty and the anxiety symptom cluster (r = -0,421, p < 0,01), the breast symptom cluster (r = -0,425, p < 0,01), and the arm symptoms - depression - fatigue symptom cluster (r = -0,443, p < 0,01). CONCLUSION: The relationships among all variables were statistically significant. Nurses providing care to BC survivors need to address the multidimensionality of the symptom experience and its correlates to better assist their patients. Further research is needed to elucidate the biopsychosocial underpinnings of those relationships.

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.

Symptom Clusters and Their Impact on Spiritual Well-Being Among Women with Breast Cancer.

Purpose: To explore symptom experience and symptom clusters among Jordanian women with breast cancer and investigate whether these clusters predict patients' spiritual well-being. Patients and Methods: A sample of 142 Jordanian women with breast cancer were asked to complete the Memorial Symptom Assessment Scale (MSAS), Functional Assessment of Chronic Illness Therapy- Spiritual Well-being (FACIT-Sp) scale, and socio-demographic questionnaire. Exploratory factor analysis was used to group symptoms into clusters, and multiple linear regression was used to explore the symptom clusters that predict spiritual well-being. Results: The most prevalent symptoms among women with breast cancer were fatigue, anxiety, tension, and pain. All these symptoms have a prevalence greater than 50%. Three clusters were found: treatment-related symptom cluster consisting of eight symptoms, gastrointestinal symptom cluster consisting of seven symptoms, and psychological symptom cluster consisting of five symptoms. The psychological symptom cluster was the only cluster predicting the women's spiritual well-being (t (141) = -3.049; p < 0.01). Conclusion: Women with breast cancer experience several concurrent symptoms and symptom clusters. Screening for psychological symptom clusters and their treatment improves patients' spiritual well-being. The majority of women with breast cancer did not receive any complementary therapies and hardly any spiritual or psychological support, which should be provided in the future to support their spiritual well-being.

Symptom Clusters in Acute SARS-CoV-2 Infection and Long COVID Fatigue in Male and Female Outpatients.

(1) Background: After an acute SARS-CoV-2 infection, patients are at risk of developing Long COVID, with fatigue as a frequent and serious health problem. Objectives: To identify symptom clusters in acute SARS-CoV-2 infections and investigate their associations with the development of Long COVID fatigue, and to examine sex-specific differences. (2) Methods: The analysis included a total of 450 COVID-19 outpatients, of whom 54.4% were female. The median ages of the men and women were 51 years (IQR 36.0; 60.0) and 48 years (IQR 33.0; 57.0), respectively. Data collection took place between November 2020 and May 2021, with a median time between acute SARS-CoV-2 infection and examination in the study center of 240 days (IQR 133; 326). The Fatigue Assessment Scale (FAS) was used to identify fatigue and its severity. A multiple correspondence analysis was used to group forty-two COVID-19 symptoms into seven symptom clusters. Logistic and log-linear regressions were used to investigate associations between acute symptom clusters and Long COVID fatigue as dichotomous and continuous outcome, respectively. (3) Results: Fatigue occurred more frequently in women than in men (45% vs. 25%) and the median FAS score, indicating severity of fatigue, was higher in women than in men. The comparison between men and women revealed notable differences in four out of seven clusters. The strongest associations between symptom clusters in infection and Long COVID fatigue were identified for the cluster "cognitive and mental symptoms". In the log-linear regression model, each additional symptom in this cluster was associated with an increase of the FAS score by 5.13% (95% CI: [0.04; 0.07]; p < 0.001). The results of the logistic regression models supported this finding. Each additional symptom in this symptom cluster increased the odds of fatigue by 42% (95% CI: [1.23; 1.66]; p < 0.001). (4) Conclusions: In our study in COVID-19 outpatients, a strong association was observed between the number of symptoms in the cluster "cognitive and mental symptoms" during acute SARS-CoV-2 infection and the risk of developing fatigue months later. The consequent use of preventive and therapeutic strategies is necessary to decrease the burden of fatigue in the context of Long COVID.

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.

Identification of inflammatory clusters in long-COVID through analysis of plasma biomarker levels.

Mechanisms underlying long COVID remain poorly understood. Patterns of immunological responses in individuals with long COVID may provide insight into clinical phenotypes. Here we aimed to identify these immunological patterns and study the inflammatory processes ongoing in individuals with long COVID. We applied an unsupervised hierarchical clustering approach to analyze plasma levels of 42 biomarkers measured in individuals with long COVID. Logistic regression models were used to explore associations between biomarker clusters, clinical variables, and symptom phenotypes. In 101 individuals, we identified three inflammatory clusters: a limited immune activation cluster, an innate immune activation cluster, and a systemic immune activation cluster. Membership in these inflammatory clusters did not correlate with individual symptoms or symptom phenotypes, but was associated with clinical variables including age, BMI, and vaccination status. Differences in serologic responses between clusters were also observed. Our results indicate that clinical variables of individuals with long COVID are associated with their inflammatory profiles and can provide insight into the ongoing immune responses.

Cancer symptom cluster research in pediatric oncology: a work in progress.

In the 21st century, advances in basic research have provided new insights in the field of pediatric oncology. Pediatric patients tend to experience higher levels of distressing symptoms, which together form a symptom cluster. In clinical practice, these symptom clusters are reported daily by children and adolescents with cancer. Translational research has emerged as the translation of new knowledge from basic science into clinical practice. Understanding how neuroimmunoendocrine pathways regulate cancer development and the aspects underlying the specific therapies, such as chemotherapy and immunotherapy, is an important frontier for future research in pediatric oncology. The goal of translational research is to show how different variables in tumor and patient characteristics explain the differential effects of interventions, as translational research provides new insights into the management of cancer symptoms in children and adolescents with cancer. Together, this approach could lead to improvements in pediatric oncology care worldwide.

Exploring Central and Bridge Symptoms in Patients with Lung Cancer: A Network Analysis.

OBJECTIVES: This study aimed to identify symptom clusters in lung cancer patients undergoing chemotherapy and the central and bridge symptoms within each symptom cluster. METHODS: In this cross-sectional study, 1,255 patients with lung cancer were recruited through convenience sampling at Nanfang Hospital. Patient symptom burden was assessed using the M.D. Anderson Symptom Inventory (MDASI) and the Lung Cancer module of the MDASI (MDASI-LC). Symptom clusters were identified using the Walktrap algorithm, and central and bridge symptoms in the symptom clusters were identified by network analysis. RESULTS: The patients included 818 (65.18%) males and 437 (34.82%) females with a mean age of 56.56 ± 11.78 years. Four symptom clusters were identified: fatigue, gastrointestinal, psychoneurological and respiratory. Their central symptoms were fatigue, vomiting, distress and hemoptysis, respectively, and their bridge symptoms were pain, vomiting, dry mouth and shortness of breath. CONCLUSIONS: Lung cancer symptoms show certain strong correlations with each other, resulting in symptom clusters. Central symptoms may influence other symptoms within a symptom cluster, and bridge symptoms might impact the density of the symptom network. This study identified central and bridge symptoms in lung cancer patients undergoing chemotherapy. Targeting these symptoms with interventions for symptom clusters could make symptom management more precise and effective. IMPLICATIONS FOR NURSING PRACTICE: In clinical settings, the burden of symptom clusters may be reduced by intervening against the central symptoms of these symptom clusters. Alternatively, if the objective is to diminish the connections between different symptom clusters and holistically alleviate the overall burden, interventions focused on bridge symptoms may be employed.

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.

Efficacy of acupuncture for a cough-related symptom cluster in patients with lung cancer: A randomized controlled trial.

PURPOSE: This study was designed to evaluate the effect of acupuncture on cough, expectoration, and shortness of breath in lung cancer patients. METHODS: Between December 2021 and June 2022, a total of 130 lung cancer patients were recruited, and they were split into control and intervention groups at random. Routine nursing was provided to the control group, whereas routine nursing with acupuncture using LU7 (Lie Que), LU9 (Tai Yuan), BL13 (Fei Shu), and BL20 (Pi Shu) was administered to the intervention group for 7 days. The severity of cough, expectoration, and shortness of breath was assessed 1 day before and after the interventions using the lung cancer-specific module of the MDASI. A two-way ANOVA was performed for group comparisons. RESULTS: Compared with the control group, the symptoms of cough in the intervention group were significantly improved (F = 5.095, MD = -0.32, 95% CI, -0.59 to 0.04, P = 0.025), while expectoration (F = 0.626, MD = -0.11, 95% CI, -0.38 to 0.16, P = 0.430) and shortness of breath (F = 0.165, MD = -0.05, 95% CI, -0.27 to 0.18, P = 0.685) had no significant change. Cough also identified an obvious interaction effect (P = 0.014), and the post-intervention simple main effect test demonstrated a tangible difference between the two groups (MD = -0.66, 95% CI, -0.99 to 0.33, P < 0.001) post-intervention. CONCLUSIONS: Acupuncture using LU7, LU9, BL13, and BL20 can relieve the cough of lung cancer patients, but not relieve expectoration and shortness of breath.

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 impact of symptom clusters on endocrine therapy adherence in patients with breast cancer.

BACKGROUND: When taken as prescribed, endocrine therapy is effective in reducing risk of recurrence and mortality in the treatment of patients with breast cancer. However, treatment side effects can act as a barrier to medication adherence. Existing research has not identified any specific side effects as consistent predictors of nonadherence. Our aim was to explore the influence of symptom clusters on self-reported adherence in patients with breast cancer. METHODS: A cross-sectional online survey was conducted, including patients with breast cancer currently or previously prescribed endocrine therapy (N = 1051). This included measures of self-reported endocrine therapy adherence and common symptoms among this population (insomnia, depression, anxiety, fatigue, musculoskeletal, and vasomotor symptoms). RESULTS: Unintentional nonadherence was higher than intentional nonadherence (50.8 % vs 31.01 %). The most troublesome symptom was insomnia (73.83 % displayed probable insomnia disorder). K-means cluster analysis identified 2 symptom clusters: overall High symptoms, and overall Low symptoms. Participants in the Low symptoms cluster were significantly more likely to be classed as adherent based on unintentional and intentional items. CONCLUSIONS: Nonadherence was high in the current sample, and significantly more likely in participants reporting overall severe symptoms. Clinicians should be aware of the scale of common side effects and facilitate open conversation about potential barriers to adherence. Follow-up care should include assessment of common symptoms and signpost patients to appropriate support or treatment when required. Future research should explore potential for a central symptom to act as a target for intervention, to relieve overall side effect burden and facilitate better medication adherence.

The Association Between Intradialytic Symptom Clusters and Recovery Time in Patients Undergoing Maintenance Hemodialysis: An Exploratory Analysis.

Background: Individuals receiving hemodialysis often experience concurrent symptoms during treatment and frequently report feeling unwell after dialysis. The degree to which intradialytic symptoms are related, and which specific symptoms may impair health-related quality of life (HRQoL) is uncertain. Objectives: To explore intradialytic symptoms clusters, and the relationship between intradialytic symptom clusters with dialysis treatment recovery time and HRQoL. Design/setting: We conducted a post hoc analysis of a prospective cohort study of 118 prevalent patients receiving hemodialysis in two centers in Calgary, Alberta and Hamilton, Ontario, Canada. Participants: Adults receiving hemodialysis treatment for at least 3 months, not scheduled for a modality change within 6 weeks of study commencement, who could provide informed consent and were able to complete English questionnaires independently or with assistance. Methods: Participants self-reported the presence (1 = none to 5 = very much) of 10 symptoms during each dialysis treatment, the time it took to recover from each treatment, and weekly Kidney Disease Quality of Life 36-Item-Short Form (KDQoL-36) assessments. Principal component analysis identified clusters of intradialytic symptoms. Mixed-effects, ordinal and linear regression examined the association between symptom clusters and recovery time (categorized as 0, >0 to 2, >2 to 6, or >6 hours), and the physical component and mental component scores (PCS and MCS) of the KDQoL-36. Results: One hundred sixteen participants completed 901 intradialytic symptom questionnaires. The most common symptom was lack of energy (56% of treatments). Two intradialytic symptom clusters explained 39% of the total variance of available symptom data. The first cluster included bone or joint pain, muscle cramps, muscle soreness, feeling nervous, and lack of energy. The second cluster included nausea/vomiting, diarrhea and chest pain, and headache. The first cluster (median score: -0.56, 25th to 75th percentile: -1.18 to 0.55) was independently associated with longer recovery time (odds ratio [OR] 1.62 per unit difference in score, 95% confidence interval [CI]: 1.23-2.12) and decreased PCS (-0.72 per unit difference in score, 95% CI: -1.29 to -0.15) and MCS scores (-0.82 per unit difference in score, 95% CI: -1.48 to -0.16), whereas the second cluster was not (OR 1.24, 95% CI: 0.97-1.58; PCS 0.19, 95% CI -0.46 to 0.83; MCS -0.72, 95% CI: -1.50 to 0.06). Limitations: This was an exploratory analysis of a small data set from 2 centers. Further work is needed to externally validate these findings to confirm intradialytic symptom clusters and the generalizability of our findings. Conclusions: Intradialytic symptoms are correlated. The presence of select intradialytic symptoms may prolong the time it takes for a patient to recover from a dialysis treatment and impair HRQoL.

Contexte: Il arrive fréquemment que les personnes qui reçoivent des traitements d'hémodialyse éprouvent des symptômes concomitants pendant la dialyze et signalent un malaise après le traitement. On en sait toutefois peu sur le degré de corrélation de ce malaise avec les symptômes intradialytiques et sur les symptômes précis qui peuvent altérer la qualité de vie liée à la santé (QVLS). Objectifs: Explorer différents groupes de symptômes intradialytiques et la relation de ceux-ci avec le temps de récupération post-dialyze et la QVLS. Cadre et conception de l'étude: Nous avons procédé à une analyze post-hoc d'une étude de cohorte prospective portant sur 118 patients prévalents recevant une hémodialyse dans deux centers, soit à Calgary (Alberta) et à Hamilton (Ontario) au Canada. Sujets: Des adultes qui recevaient des traitements d'hémodialyse depuis au moins trois mois ­ sans changement de modalité prévu dans les six semaines suivant le début de l'étude ­ qui pouvaient donner leur consentement éclairé et qui étaient en mesure de remplir des questionnaires en anglais de façon autonome ou avec de l'aide. Méthodologie: Pour chaque traitement de dialyze, les participants devaient autoévaluer le degré de présence (de 1 [non présent] à 5 [très présent]) de dix symptômes et le temps nécessaire pour récupérer de chaque traitement, puis remplir des évaluations hebdomadaires à l'aide du questionnaire KDQoL-36. Une analyze des composantes principales a permis de définir des groupes de symptômes intradialytiques. Une régression à effets mixtes, ordinale et linéaire, a servi à examiner l'association entre les groupes de symptômes et le temps de récupération (0 heure; de 0 à 2 heures; de 2 à 6 hures; plus de 6 heures), et les scores des composantes physiques et psychologiques du KDQoL-36. Résultats: Cent seize patients ont rempli un total de 901 questionnaires sur les symptômes intradialytiques. Le symptôme le plus fréquemment déclaré était le manque d'énergie (56 % des traitements). Deux groupes de symptômes intradialytiques ont expliqué 39 % de la variance totale des données disponibles sur les symptômes. Le premier groupe comprenait des douleurs osseuses ou articulaires, des crampes musculaires, des douleurs musculaires, une sensation de nervosité et un manque d'énergie. Le deuxième groupe comprenait des nausées/vomissements, de la diarrhée, des douleurs thoraciques et des maux de tête. Le premier groupe (score médian : ­0,56; du 25e au 75e percentile : ­1, 18 à 0,55) a été indépendamment associé à un temps de récupération plus long (rapport de cotes : 1,62 par unité de différence de score; IC 95 % : 1,23 à 2,12) et à une diminution des scores des composantes physiques (RC : ­0,72; IC 95 % : ­1, 29 à ­0,15) et des scores des composantes psychologiques (RC : ­0,82; IC 95 % : ­1, 48 à ­0,16). Le deuxième groupe n'a pas été associé avec le temps de récupération (RC : 1,24; IC 95 % : 0,97 à 1,58) ni avec le score des composantes physiques (RC : 0,19; IC 95 % : ­0,46 à 0,83) et les scores des composantes psychologiques (RC : ­0,72; IC 95 % : ­1, 50 à 0,06). Limites: Il s'agissait d'une analyze exploratoire d'un petit ensemble de données provenant de deux centers. D'autres études externes sont nécessaires pour valider ces résultats et, ainsi, confirmer nos groupes de symptômes intradialytiques et la généralisabilité de nos résultats. Conclusion: Les symptômes intradialytiques sont corrélés. La présence de certains symptômes intradialytiques peut prolonger le temps de récupération post-dialyze et altérer la qualité de vie des patients.

Sentinel and networked symptoms in patients with breast cancer undergoing chemotherapy.

PURPOSE: It was designed to identify the symptom clusters and sentinel symptoms among patients with breast cancer receiving chemotherapy at the community level, and to explore core and bridge symptoms at the global level. METHODS: A cross-sectional survey was conducted using the MD Anderson Symptom Inventory. Patients with breast cancer receiving chemotherapy, recruited from the "Be Resilient to Breast Cancer" project between January 2023 and December 2023, were included in the study. Symptom clusters and their sentinel symptoms were identified using exploratory factor analysis and Apriori algorithm. Core and bridge symptoms were identified using network analysis. RESULTS: A total of 468 patients with breast cancer participated in the current study. At the community level, three symptom clusters and their corresponding sentinel symptoms were identified: a gastrointestinal symptom cluster (with nausea as the sentinel symptom), a psycho-sleep-related symptom cluster (with distress as the sentinel symptom), and a neurocognition symptom cluster (with dry mouth as the sentinel symptom). At the global level, fatigue emerged as the core symptom, while disturbed sleep and lack of appetite as bridge symptoms. CONCLUSION: Addressing nausea, distress, and dry mouth are imperative for alleviating specific symptom clusters at the community level. Furthermore, targeting fatigue, disturbed sleep, and lack of appetite are crucial to break the interactions among diverse symptoms at the global level.

Depressive disorder subtypes, depressive symptom clusters, and risk of obesity and diabetes: A systematic review.

BACKGROUND: Overlapping but divided literatures suggest certain depression facets may pose greater obesity and diabetes risk than others. Our objectives were to integrate the major depressive disorder (MDD) subtype and depressive symptom cluster literatures and to clarify which facets are associated with the greatest cardiometabolic disease risk. METHODS: We conducted a systematic review of published studies examining associations of ≥2 MDD subtypes or symptom clusters with obesity or diabetes risk outcomes. We report which facets the literature is "in favor" of (i.e., having the strongest or most consistent results). RESULTS: Forty-five articles were included. Of the MDD subtype-obesity risk studies, 14 were in favor of atypical MDD, and 8 showed similar or null associations across subtypes. Of the symptom cluster-obesity risk studies, 5 were in favor of the somatic cluster, 1 was in favor of other clusters, and 5 were similar or null. Of the MDD subtype-diabetes risk studies, 7 were in favor of atypical MDD, 3 were in favor of other subtypes, and 5 were similar or null. Of the symptom cluster-diabetes risk studies, 7 were in favor of the somatic cluster, and 5 were similar or null. LIMITATIONS: Limitations in study design, sample selection, variable measurement, and analytic approach in these literatures apply to this review. CONCLUSIONS: Atypical MDD and the somatic cluster are most consistently associated with obesity and diabetes risk. Future research is needed to establish directionality and causality. Identifying the depression facets conferring the greatest risk could improve cardiometabolic disease risk stratification and prevention programs.

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.

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.