Energy conservation education intervention for people with end-stage kidney disease receiving haemodialysis (EVEREST): A two-arm parallel group study

BACKGROUND

Fatigue is a common symptom in kidney failure and impacts on health-related quality of life. Educational interventions involving energy conservation strategies have effectively reduced fatigue in people with other chronic diseases.

OBJECTIVE

To evaluate the effectiveness of an energy conservation education intervention for people with kidney failure receiving haemodialysis (EVEREST).

DESIGN

A two-arm parallel group study with haemodialysis shift randomisation.

METHODS

Recruitment commenced in April 2022 and included 126 participants receiving haemodialysis who met the eligibility criteria. They were randomised based on haemodialysis shifts. The intervention group received a structured energy conservation education program plus usual care over 12 weeks. The control group received the usual care. The energy conservation education program consisted of three individual face-to-face educational sessions, one booster session, and a booklet. Outcomes were fatigue, other chronic kidney disease (CKD) symptoms, occupational performance, and health-related quality of life. Data were collected at baseline, week 4, week 8, and week 12. Intention-to-treat analysis was used.

RESULTS

Participants who received the energy conservation education program showed a significant reduction in fatigue severity (mean difference [MD] = -1.88, 95 % confidence intervals [CI] [-2.36 to -1.40], p < .001), fatigue interference (MD = -1.52, 95 % CI [-2.02 to -1.02], p < .001), number of fatigue days (MD = -1.12, 95 % CI [-1.60 to -0.64], p < .001), and percent of day fatigued (MD = -18.47, 95 % CI [-23.60 to -13.34], p < .001) at week 8 compared to the control group. At week 12, medium to large effect sizes for fatigue severity (effect size [ES] = 2.37, p < .001), fatigue interference (ES = 1.68, p < .001), number of fatigue days (ES = 0.74, p < .001), and percent of day fatigued (ES = 2.10, p < .001) were observed in the intervention group compared to the control group. Similarly, significant improvements were detected in the CKD symptom (ES = 1.49, p < .001), occupational performance (ES = 1.17, p < .001), and satisfaction with the performance (ES = 1.59, p < .001) in the intervention group compared to the control group. A significant effect was seen for health-related quality of life in the intervention group [physical health (ES = 2.14, p < .001) and mental health (ES = 2.06, p < .001)] at week 12 compared to the control group.

CONCLUSIONS

The energy conservation education program was successful in reducing fatigue in the haemodialysis population. This simple approach enabled individuals to improve everyday activities, reduce other CKD symptoms and improve health-related quality of life. Nurses could incorporate the energy conservation education program into routine practice in haemodialysis units.

REGISTRATION

The trial was registered in ClinicalTrials.gov (Trial registration ID NCT04360408) on April 23, 2020.

TWEETABLE ABSTRACT

Educational intervention about energy conservation for those on haemodialysis reduced fatigue and improved daily activities and health-related quality of life.

Impact of Multimorbidity on Symptom Burden and Symptom Clusters in Patients Receiving Chemotherapy

BACKGROUND

Detailed information on patient characteristics and symptom burden associated with multimorbidity in oncology patients is extremely limited. Purposes were to determine the prevalence of low (≤ 2) and high (≥ 3) multimorbidity in a sample of oncology outpatients (n = 1343) undergoing chemotherapy and evaluate for differences between the two multimorbidity groups in demographic and clinical characteristics; the occurrence, severity, and distress of 38 symptoms; and the stability and consistency of symptom clusters.

METHODS

Using the Self-Administered Comorbidity Questionnaire, patients were classified into low and high multimorbidity groups. Memorial Symptom Assessment Scale was used to assess the occurrence, severity, and distress of 38 symptoms prior to the patients' second or third cycle of chemotherapy. For each multimorbidity group, symptom clusters based on occurrence rates were identified using exploratory factor analysis.

RESULTS

Compared to the low group (61.4%), patients in the high group (38.6%) were older, had fewer years of education, were less likely to be married or partnered, less likely to be employed, and had a lower annual income. In addition, they had a higher body mass index, poorer functional status, were a longer time since their cancer diagnosis, and were more likely to have received previous cancer treatments and have metastatic disease. Patients in the low and high groups reported 12.7 (±6.7) and 15.9 (±7.5) concurrent symptoms, respectively. Eight and seven symptom clusters were identified for the low and high groups, respectively. Psychological, gastrointestinal, weight gain, hormonal, and respiratory clusters were stable across multimorbidity groups. Weight gain and respiratory clusters were consistent. Three unstable clusters were identified in the low group and two in the high group.

CONCLUSIONS

Findings suggest that higher multimorbidity is associated with various social determinants of health and a higher symptom burden. Differences between multimorbidity groups may be related to aging, treatments, and/or comorbid conditions.

Cluster of symptoms in kidney failure: A systematic review

Background

Chronic kidney disease is a global problem characterized by a progressive decrease in kidney function with associated symptoms. A better understanding of these symptoms could lead to the development of personalized strategies.

Objective

This systematic review aims to describe the clusters of symptoms in kidney failure and categorize them according to their time of onset and how disabling they are for patients.

Design

A systematic review was carried out.

Methods

This systematic review was conducted according to the PRISMA declaration standards. The search engines used were initially limited to WOS, Embase, and PubMed, and they were employed between November 2022 and January 2023. In addition, the bibliographic search was supplemented with databases of the grey literature, such as OpenGrey, in May 2023. The following inclusion criteria were established: cross-sectional studies, studies on adult populations, and studies dealing with clusters of symptoms associated with kidney failure. Before an article was definitively selected, the checklist of the STROBE initiative, with a maximum of 22 points, was applied, assessing the quality of cross-sectional articles. Articles were selected independently and blinded by two researchers, and a third researcher was involved in case of disagreement.

Results

After carrying out the bibliographic search, we found that eight articles, out of the 46 articles that were evaluated, fully met the inclusion criteria. Two tables were made, which include important information, such as the participants' profiles or the way the authors extracted a cluster of symptoms.

Limitations

The main area for improvement is that it was not possible to perform a meta-analysis due to the methodology used in the articles analysed. Constraining the selection of articles to those written in Spanish or English could be a limitation as not all articles dealing with symptom clusters in kidney failure were considered.

Conclusions

Common symptoms in clusters of symptoms in kidney failure were nausea or vomiting (gastrointestinal problems), fatigue or muscle weakness (neuromuscular symptoms/problems), low interest in sex or difficulty feeling sexually excited (sexual symptoms), dry skin or skin itching (skin problems), lack of appetite, feeling squeezed, feeling weak or dizzy and difficulty breathing (uraemic), fatigue or muscle weakness (energy/vitality), and chest pain (cardiac-related problems). Providing treatment based on clusters of symptoms would benefit the patient more than providing treatment based on isolated symptoms. The identification of symptom clusters in kidney failure has clinical relevance, and this research could facilitate the development of adequate intervention strategies, simplifying the treatment offered to patients and even reducing the side effects of treatments.

Exploring symptom clusters in Chinese patients with peritoneal dialysis: a network analysis

BACKGROUND

In recent years, the research on symptom management in peritoneal dialysis (PD) patients has shifted from a single symptom to symptom clusters and network analysis. This study collected and evaluated unpleasant symptoms in PD patients and explored groups of symptoms that may affect PD patients with a view to higher symptom management.

METHODS

The symptoms of PD patients were measured using the modified Dialysis Symptom Index. The symptom network and node characteristics were assessed by network analysis, and symptom clusters were explored by factor analysis.

RESULTS

In this study of 602 PD patients (mean age 47.8 ± 16.8 years, 47.34% male), most had less than 2 years of dialysis experience. Five symptom clusters were obtained from factor analysis, which were body symptom cluster, gastrointestinal symptom cluster, mood symptom cluster, sexual disorder symptom cluster, and skin-sleep symptom cluster. Itching and decreased interest in sex may be sentinel symptoms, and being tired or lack of energy and feeling anxious are core symptoms in PD patients.

CONCLUSIONS

This study emphasizes the importance of recognizing symptom clusters in PD patients for better symptom management. Five clusters were identified, with key symptoms including itching, decreased interest in sex, fatigue, and anxiety. Early intervention focused on these symptom clusters in PD patients holds promise for alleviating the burden of symptoms.

Nonpharmacological Interventions for Managing Symptom Clusters in Adults: A Systematic Review

Objectives: The complex effects of multiple co-occurring symptoms are a major cause of reduced quality of life; thus, it is necessary to identify symptom clusters experienced by patients and explore interventions. This study aimed to provide an overview of non-pharmacological interventions based on symptom clusters in adults to identify effective intervention strategies and methods. Methods. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. For the search databases, PubMed, Embase, Cochrane Library, CINAHL, RISS, KISS, and KISTI were used. It includes English and Korean experimental studies published up to May 2023. The literature quality was evaluated using the Joanna Briggs Institute Quality Assessment Tool. Results. Of the 18 studies selected, 15 were randomized controlled trials and three were quasi-experimental studies, all of which were conducted on patients with cancer. The symptom clusters-based interventions in the literature are classified as movement-based, relaxation-based, integrated, and miscellaneous interventions. Integrated interventions, which were effective in all studies, might prove to be very effective for managing symptom clusters. Movement-based intervention studies, which include dance, Qigong, and Tai Chi, might be very effective in improving health-related quality of life (HRQoL). Conclusions. This review demonstrates that non-pharmacological interventions reduce the occurrence and severity of symptom clusters, thereby improving HRQoL. Further studies are required to evaluate the effects of these interventions in patients with various chronic conditions other than cancer.

The Gut Microbiome and Symptom Burden After Kidney Transplantation: An Overview and Research Opportunities

Many kidney transplant recipients continue to experience high symptom burden despite restoration of kidney function. High symptom burden is a significant driver of quality of life. In the post-transplant setting, high symptom burden has been linked to negative outcomes including medication non-adherence, allograft rejection, graft loss, and even mortality. Symbiotic bacteria (microbiota) in the human gastrointestinal tract critically interact with the immune, endocrine, and neurological systems to maintain homeostasis of the host. The gut microbiome has been proposed as an underlying mechanism mediating symptoms in several chronic medical conditions including irritable bowel syndrome, chronic fatigue syndrome, fibromyalgia, and psychoneurological disorders via the gut-brain-microbiota axis, a bidirectional signaling pathway between the enteric and central nervous system. Post-transplant exposure to antibiotics, antivirals, and immunosuppressant medications results in significant alterations in gut microbiota community composition and function, which in turn alter these commensal microorganisms' protective effects. This overview will discuss the current state of the science on the effects of the gut microbiome on symptom burden in kidney transplantation and future directions to guide this field of study.

Symptom profiles in patients receiving maintenance hemodialysis and their association with quality of life: a longitudinal study

PURPOSE

Many patients receiving maintenance hemodialysis experience one or multiple symptoms. Using a latent profile analysis to identify symptom profiles may provide insights for person-centered symptom management strategies.

METHODS

This is a longitudinal study based on data from patients receiving maintenance hemodialysis at three hospitals in Shanghai, China. Of the 448 patients who completed the surveys at baseline (T1), 309 completed the 12-month follow-up survey (T2). Symptoms and quality of life were measured by the Chinese version of Kidney Disease Quality of Life 36 Short Form. The optimal classification of symptoms was identified using latent profile analysis.

RESULTS

Five symptom profiles were identified: High (9.2%), Fatigue and Gastrointestinal (7.1%), Fatigue and Skin (10.7%), Skin (23.2%), and Low (49.8%). The high-symptom profile and the-fatigue-and-skin-symptom profile were associated with a lower level of physical functioning, a higher burden of kidney disease, and more negative effects of kidney disease than the low symptom profile at T1 and T2. Multivariate regression analysis showed that the high-symptom profile predicted a poorer physical functioning at T2, and the-fatigue-and-skin-symptom profile predicted a poorer physical functioning and higher burden of kidney disease at T2.

CONCLUSION

Patients receiving maintenance hemodialysis reported unique symptom experiences which could be classified into different profiles. Patients reporting an overall high level of symptoms or a high level of fatigue and skin symptoms were more likely to have a poorer quality of life.

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.

The Heterogeneity of Symptom Burden and Fear of Progression Among Kidney Transplant Recipients: A Latent Class Analysis

Purpose

Kidney transplant recipients (KTRs) may experience symptoms that increase their fear of progression (FoP), but a dearth of research examines the issue from a patient-centered perspective. Our study aimed to first determine the category of symptom burden, then to explore the differences in characteristics of patients in different subgroups, and finally to analyze the impact of symptom subgroup on FoP.

Patients and Methods

Sociodemographic and Clinical Characteristics, Symptom Experience Scale, and Fear of Progression Questionnaire-Short Form were used. Latent class analysis was used to group KTRs according to the occurrence of symptoms. We used multivariate logistic regression to analyze the predictors of different subgroups. The differences in FoP among symptom burden subgroups were analyzed by hierarchical multiple regression.

Results

Three subgroups were identified, designated all-high (20.5%), moderate (39.9%), and all-low (39.6%) according to their symptom occurrence. Multivariate logistic regression showed that gender, post-transplant time, per capita monthly income, and hyperuricemia were the factors that distinguished and predicted the all-high subgroup (P < 0.05). Hierarchical multiple regression showed that symptom burden had a significant effect on FoP (class1 vs class3: β = 0.327, P < 0.001; class2 vs class3: β = 0.104, P = 0.046), explaining the 8.0% variance of FoP (ΔR2 = 0.080).

Conclusion

KTRs generally experience moderate or low symptom burden, and symptom burden is an influencing factor in FoP. Identifying the traits of KTRs with high symptom burden can help clinicians develop targeted management strategies and ease FoP of KTRs.

Exploring Symptom Clusters in Chinese Patients with Diabetic Kidney Disease: A Network Analysis

Purpose

The research on symptom management in patients with diabetic kidney disease (DKD) has shifted from separate symptoms to symptom clusters and networks recently. This study aimed to evaluate the unpleasant symptoms of DKD patients, and to investigate how these symptom clusters could affect patients.

Methods

408 DKD patients were recruited in this cross-sectional study. The symptoms of DKD patients were measured using the modified Dialysis Symptom Index. Network analysis was employed to evaluate the symptom network and the characteristics of individual nodes, while factor analysis was utilized to identify symptom clusters.

Results

Blurred vision was the most prevalent symptom among DKD patients. The symptoms identified as the most distressing, severe, and frequent were light headache or dizziness, arteriovenous fistula/catheterization pain, and diarrhea, respectively. Five symptom clusters were obtained from factor analysis, and the most central symptom cluster in the entire symptom network was sexual dysfunction.

Conclusion

This study identified five symptom clusters in Chinese DKD patients, with sexual dysfunction emerging as the most central cluster. These findings carry significant clinical implications, underscoring the necessity of assessing symptom clusters and their associations to enhance symptom management in DKD patients. Further research is essential to elucidate the underlying mechanisms of symptoms and to clarify the associations among symptoms in DKD patients across different disease trajectories or treatment modalities.

Symptom Science in Kidney Disease

Physical and emotional symptoms are highly prevalent among patients with kidney disease and are directly linked to impaired health-related quality of life. Symptom science is a field of research aimed at advancing knowledge of the holistic mechanisms driving symptoms, how best to assess symptoms accurately, and developing novel and patient-centered approaches to symptom management. Patients with kidney disease have identified symptom science as a top research priority, and opportunities abound for ongoing patient engagement in symptom-related research efforts and clinical care. This review describes the burden of symptoms experienced by patients with kidney disease, explores the spectrum of patient engagement in symptom care and research, and discusses approaches for symptom assessment and management, taking into consideration the multitude of factors that may contribute to symptoms.

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.

Sickness Symptoms in Kidney Transplant Recipients: A Scoping Review

Sickness symptoms (depressive symptoms, anxiety, and fatigue) are common among people with chronic illness, often presenting as a symptom cluster. Sickness symptoms persist in many patients with chronic kidney disease, even after kidney transplantation (KT); however, little is known about sickness symptom-induced burden in KT recipients. This scoping review synthesizes available evidence for sickness symptoms in KT recipients, including findings on symptom prevalence, predictors, outcomes, interrelationships, and clustering. Among 38 reviewed studies, none identified sickness symptoms as a cluster, but we observed interrelationships among the symptoms examined. Fatigue was the most prevalent sickness symptom, followed by anxiety and depressive symptoms. Predictors of these symptoms included demographic, clinical, and psychosocial factors, and health-related quality of life was the most researched outcome. Future research should use common data elements to phenotype sickness symptoms, include biological markers, and employ sophisticated statistical methods to identify potential clustering of sickness symptoms in KT recipients.

Differences in symptom experience among patients with systemic sclerosis: a cluster analytic approach to identifying subgroups

OBJECTIVES

Symptoms of people who have SSc are heterogeneous and difficult to address clinically. Because diverse symptoms often co-occur and may share common underlying mechanisms, identifying symptoms that cluster together may better target treatment approaches. We sought to identify and characterize patient subgroups based on symptom experience.

METHODS

An exploratory hierarchical agglomerative cluster analysis was conducted to identify subgroups from a large SSc cohort from a single US academic medical centre. Patient-reported symptoms of pain interference, fatigue, sleep disturbance, dyspnoea, depression and anxiety were used for clustering. A multivariate analysis of variance (MANOVA) was used to examine the relative contribution of each variable across subgroups. Analyses of variance were performed to determine participant characteristics based on subgroup assignment. Presence of symptom clusters were tallied within subgroup.

RESULTS

Participants (n = 587; 84% female, 41% diffuse cutaneous subtype, 59% early disease) divided into three subgroups via cluster analysis based on symptom severity: (i) no/minimal, (ii) mild, and (iii) moderate. Participants in mild and moderate symptoms subgroups had similar disease severity, but different symptom presentation. In the mild symptoms subgroup, pain, fatigue and sleep disturbance was the main symptom cluster. Participants in the moderate symptoms subgroup were characterized by co-occurring pain, fatigue, sleep disturbance, depression and anxiety.

CONCLUSION

Identification of distinct symptom clusters, particularly among SSc patients who experience mild and moderate symptoms, suggests potential differences in treatment approach and in mechanisms underlying symptom experience that require further study.

Pain Interference in End Stage Kidney Disease is Associated with Changes in Gut Microbiome Features Before and After Kidney Transplantation

BACKGROUND

Pain, a common debilitating symptom among kidney transplant recipients (KTRs), is among the most common and undertreated symptoms after kidney transplantation.

AIMS

Characterize associations between gut microbiome features and pain interference before and after kidney transplantation.

DESIGN

Longitudinal, repeated measures study, collecting fecal specimens and pain interference data pretransplant and 3 months posttransplant.

SETTING

Participants were recruited at the kidney transplant clinic at the University of Illinois Hospital & Health Sciences System.

PARTICIPANTS/SUBJECTS

19 living donor kidney transplant recipients.

METHODS

We assessed fecal microbial community structure with shotgun metagenomic sequencing; we used pain interference scores derived from the Patient-Reported Outcomes Measurement Information System-57.

RESULTS

We measured a reduction in the Shannon diversity index in both groups after transplantation but observed no significant differences between groups at either time point. We did observe significant differences in fecal microbial Bray-Curtis similarity index among those reporting pain interference pre- transplant versus no pain interference at 3-months posttransplant (R = .306, p = .022), and between pain interference groups at posttransplant (R = .249, p = .041). Pairwise models showed significant differences between groups posttransplant in relative abundances of several taxa, including a 5-fold reduction.ßin Akkermansia among those with pain interference and a higher relative abundance of taxa associated with chronic inflammation in those with pain interference posttransplant. Functional gene analysis identified two features that were significantly enriched in those with pain interference, including a peptide transport system gene.

CONCLUSIONS

Gut microbiota community structure differs between groups with and without pain interference at 3 months after kidney transplantation. Several taxa involved in intestinal barrier integrity and chronic inflammation were associated with posttransplant pain.

The Role of Symptom Clusters in Triage of COVID-19 Patients

BACKGROUND AND OBJECTIVE

COVID-19 manifests with a broad range of symptoms. This study investigates whether clusters of respiratory, gastrointestinal, or neurological symptoms can be used to diagnose COVID-19.

METHODS

We surveyed symptoms of 483 subjects who had completed COVID-19 laboratory tests in the last 30 days. The survey collected data on demographic characteristics, self-reported symptoms for different types of infections within 14 days of onset of illness, and self-reported COVID-19 test results. Robust LASSO regression was used to create 3 nested models. In all 3 models, the response variable was the COVID-19 test result. In the first model, referred to as the "main effect model," the independent variables were demographic characteristics, history of chronic symptoms, and current symptoms. The second model, referred to as the "hierarchical clustering model," added clusters of variables to the list of independent variables. These clusters were established through hierarchical clustering. The third model, referred to as the "interaction-terms model," also added clusters of variables to the list of independent variables; this time clusters were established through pairwise and triple-way interaction terms. Models were constructed on a randomly selected 80% of the data and accuracy was cross-validated on the remaining 20% of the data. The process was bootstrapped 30 times. Accuracy of the 3 models was measured using the average of the cross-validated area under the receiver operating characteristic curves (AUROCs).

RESULTS

In 30 bootstrap samples, the main effect model had an AUROC of 0.78. The hierarchical clustering model had an AUROC of 0.80. The interaction-terms model had an AUROC of 0.81. Both the hierarchical cluster model and the interaction model were significantly different from the main effect model (α = .04). Patients with different races/ethnicities, genders, and ages presented with different symptom clusters.

CONCLUSIONS

Using clusters of symptoms, it is possible to more accurately diagnose COVID-19 among symptomatic patients.

Five-Year Symptom Trajectories in Nondialysis-Dependent CKD Patients

BACKGROUND AND OBJECTIVES

Late stages of CKD are characterized by significant symptom burden. This study aimed to identify subgroups within the 5-year trajectories of symptom evolution in patients with CKD and to describe associated patient characteristics and outcomes.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

Among 2787 participants (66% men) with eGFR <60 ml/min per 1.73 m2 enrolled in the CKD-Renal Epidemiology and Information Network (CKD-REIN) cohort study from July 2013 to May 2016, we assessed symptoms annually using the Kidney Disease Quality of Life-36 (KDQOL-36) questionnaire until December 2020. A total of 9121 measures were reported over follow-up; all participants had symptoms scored for at least one time point. We used a joint latent class-mixed model to distinguish profiles of symptom trajectories.

RESULTS

Patient mean age (±SD) at baseline was 67±13 years, and mean eGFR was 33±13 ml/min per 1.73 m2. The prevalence of each symptom ranged from 24% (chest pain) to 83% (fatigue), and 98% of participants reported at least one symptom. After a median (interquartile range) follow-up of 5.3 (3.4-6.0) years, 690 participants initiated KRT, and 490 died before KRT. We identified two profiles of symptom trajectories: a "worse symptom score and worsening trajectory" in 31% of participants, characterized by a low initial symptom score that worsened more than ten points over time, and a "better symptom score and stable trajectory" in 69% of participants, characterized by a high initial score that remained stable. Participants in the worse symptom score and worsening trajectory group had more risk factors for CKD progression at baseline, worse quality of life, and a higher risk of KRT and death before KRT than other participants.

CONCLUSIONS

This study highlights a significant worsening of symptoms in about one third of the participants, whereas the majority reported low symptom severity throughout the study.

Living Well With Kidney Disease and Effective Symptom Management: Consensus Conference Proceedings

Chronic kidney disease (CKD) confers a high burden of uremic symptoms that may be underrecognized, underdiagnosed, and undertreated. Unpleasant symptoms, such as CKD-associated pruritus and emotional/psychological distress, often occur within symptom clusters, and treating 1 symptom may potentially alleviate other symptoms in that cluster. The Living Well with Kidney Disease and Effective Symptom Management Consensus Conference convened health experts and leaders of kidney advocacy groups and kidney networks worldwide to discuss the effects of unpleasant symptoms related to CKD on the health and well-being of those affected, and to consider strategies for optimal symptom management. Optimizing symptom management is a cornerstone of conservative and preservative management which aim to prevent or delay dialysis initiation. In persons with kidney dysfunction requiring dialysis (KDRD), incremental transition to dialysis and home dialysis modalities offer personalized approaches. KDRD is proposed as the preferred term given the negative connotations of "failure" as a kidney descriptor, and the success stories in CKD journeys. Engaging persons with CKD to identify and prioritize their personal values and individual needs must be central to ensure their active participation in CKD management, including KDRD. Person-centered communication and care are required to ensure diversity, equity, and inclusion; education/awareness that considers the health literacy of persons with CKD; and shared decision-making among the person with CKD, care partners, and providers. By putting the needs of people with CKD, including effective symptom management, at the center of their treatment, CKD can be optimally treated in a way that aligns with their goals.

Symptom clusters in chronic kidney disease and their association with people's ability to perform usual activities

Background

People living with a long-term condition, such as chronic kidney disease (CKD), often suffer from multiple symptoms simultaneously, making symptom management challenging. This study aimed to identify symptom clusters in adults with CKD across treatment groups and investigate their association with people’s ability to perform their usual activities.

Methods

We conducted a secondary analysis of both cross-sectional and longitudinal data collected as part of a national service improvement programme in 14 kidney centres in England, UK. This data included symptom severity (17 items, POS-S Renal) and the extent to which people had problems performing their usual activities (single item, EQ-5D-5L). We categorised data by treatment group: haemodialysis (n = 1,462), transplantation (n = 866), peritoneal dialysis (n = 127), or CKD without kidney replacement therapy (CKD non-KRT; n = 684). We used principal component analysis to identify symptom clusters per treatment group, and proportional odds models to assess the association between clusters and usual activities.

Results

Overall, clusters related to: lack of energy and mobility; gastrointestinal; skin; and mental health. Across groups, the ‘lack of energy and mobility’ clusters were associated with having problems with usual activities, with odds ratios (OR) ranging between 1.24 (95% confidence interval [CI], 1.21–1.57) for haemodialysis and 1.56 for peritoneal dialysis (95% CI, 1.28–1.90). This association was confirmed longitudinally in haemodialysis (n = 399) and transplant (n = 249) subgroups.

Implications

Our findings suggest that healthcare professionals should consider routinely assessing symptoms in the ‘lack of energy & mobility’ cluster in all people with CKD, regardless of whether they volunteer this information; not addressing these symptoms is likely to be related to them having problems with performing usual activities. Future studies should explore why symptoms within clusters commonly co-occur and how they interrelate. This will inform the development of cluster-level symptom management interventions with enhanced potential to improve outcomes for people with CKD.

Results of a pilot feasibility randomised controlled trial exploring the use of an electronic patient-reported outcome measure in the management of UK patients with advanced chronic kidney disease

OBJECTIVES

The use of routine remote follow-up of patients with chronic kidney disease (CKD) is increasing exponentially. It has been suggested that online electronic patient-reported outcome measures (ePROMs) could be used in parallel, to facilitate real-time symptom monitoring aimed at improving outcomes. We tested the feasibility of this approach in a pilot trial of ePROM symptom monitoring versus usual care in patients with advanced CKD not on dialysis.

DESIGN

A 12-month, parallel, pilot randomised controlled trial (RCT) and qualitative substudy.

SETTING AND PARTICIPANTS

Queen Elizabeth Hospital Birmingham, UK. Adult patients with advanced CKD (estimated glomerular filtration rate ≥6 and ≤15 mL/min/1.73 m², or a projected risk of progression to kidney failure within 2 years ≥20%).

INTERVENTION

Monthly online ePROM symptom reporting, including automated feedback of tailored self-management advice and triggered clinical notifications in the advent of severe symptoms. Real-time ePROM data were made available to the clinical team via the electronic medical record.

OUTCOMES

Feasibility (recruitment and retention rates, and acceptability/adherence to the ePROM intervention). Health-related quality of life, clinical data (eg, measures of kidney function, kidney failure, hospitalisation, death) and healthcare utilisation.

RESULTS

52 patients were randomised (31% of approached). Case report form returns were high (99.5%), as was retention (96%). Overall, 73% of expected ePROM questionnaires were received. Intervention adherence was high beyond 90 days (74%) and 180 days (65%); but dropped beyond 270 days (46%). Qualitative interviews supported proof of concept and intervention acceptability, but highlighted necessary changes aimed at enhancing overall functionality/scalability of the ePROM system.

LIMITATIONS

Small sample size.

CONCLUSIONS

This pilot trial demonstrates that patients are willing to be randomised to a trial assessing ePROM symptom monitoring. The intervention was considered acceptable; though measures to improve longer-term engagement are needed. A full-scale RCT is considered feasible.

TRIAL REGISTRATION NUMBER

ISRCTN12669006 and the UK NIHR Portfolio (CPMS ID: 36497).

Patient-centred approaches for the management of unpleasant symptoms in kidney disease

Patients with chronic kidney disease (CKD) frequently experience unpleasant symptoms. These can be gastrointestinal (constipation, nausea, vomiting and diarrhoea), psychological (anxiety and sadness), neurological (lightheadedness, headache and numbness), cardiopulmonary (shortness of breath and oedema), dermatological (pruritus and dry skin), painful (muscle cramps, chest pain and abdominal pain) or involve sexual dysfunction, sleep disorders and fatigue. These symptoms often occur in clusters, with one of them as the lead symptom and others as secondary symptoms. Uraemic toxins (also called uremic toxins) are often considered to be the main cause of CKD-associated symptom burden, but treatment of uraemia by dialysis often fails to resolve them and can engender additional symptoms. Indeed, symptoms can be exacerbated by comorbid conditions, pharmacotherapies, lifestyle and dietary regimens, kidney replacement therapy and ageing. Patients with kidney disease, including those who depend on dialysis or transplantation, should feel actively supported in their symptom management through the identification and targeting of unpleasant symptoms via a tailored palliative care approach. Such an approach may help minimize the burden and consequences of kidney disease, and lead to improved patient outcomes including health-related quality of life and better life participation.

Emerging Patient-Centered Concepts in Pain Among Adults With Chronic Kidney Disease, Maintenance Dialysis, and Kidney Transplant

Patient reports of moderate to severe pain are common across the spectrum of chronic kidney disease. The synergistic effects of comorbid depression and anxiety can lead to maladaptive coping responses to pain, namely pain catastrophizing and illness-related post-traumatic stress disorder. If underlying depression and anxiety and associated maladaptive coping responses are not treated, patients can experience an increased perception of pain, worsened disability, decreased quality of life, withdrawal from social activities, and increased morbidity and mortality. Meanwhile, interest in nonpharmacologic treatments for pain that targets coping as well as comorbid anxiety and depression has been increasing, particularly given the significant societal damage that has resulted from the opioid epidemic. Evidence-based, nonpharmacologic treatments have shown promise in treating pain in areas outside of nephrology. Currently, little is known about the effects of these treatments among adults with CKD, and particularly end-stage kidney disease, when chronic pain can become debilitating. In this review, we examine patient-centered concepts related to pain that have received little attention in the nephrology literature. We also describe emerging areas of research, including omics technologies for biomarker discovery and advanced symptom clustering methods for symptom phenotyping, which may be useful to future kidney disease research and treatment.

The Holistic Theory of Unpleasant Symptoms

This article describes a holistic revisioning of symptom theory for nursing practice. The Holistic Theory of Unpleasant Symptoms (HTOUS), informed by the Science of Unitary Human Beings, describes the complexity of symptom experience and how nursing actions can be associated with its transformation. Existing theories of unpleasant symptoms which broadly describe the antecedents, characteristics, and consequences of symptoms, have been reconceptualized from holistic and integral perspectives. Applying integral concepts such as human energy field and pattern manifestation expands understanding of both symptom experience and the nurse's response to it. Spirituality is an addition to symptom theory, being seen as a characteristic of Human Energy Field pattern manifestations. The theory's major concepts are symptom experience manifestations and wellbecoming manifestations. Concepts of the sustaining presence of the nurse and voluntary mutual patterning are explored. Pain, nausea, dyspnea, anxiety, despair, and other symptoms are discussed. Because HTOUS is acausal and nonlinear, it is widely applicable to creative, theory-directed nursing practice and research. Recommendations are made for practice, research, and further theory development.

Chronic Obstructive Pulmonary Disease Symptom Cluster Composition, Associated Factors, and Methodologies: A Systematic Review

This systematic review details symptom clusters, their compositions, and associated factors and appraises the methodologies of studies that reported symptom clusters in patients with chronic obstructive pulmonary disease (COPD). Ten studies were eligible for inclusion in this study. Four common symptom clusters were identified. Two theoretical frameworks, four statistical methods, and various symptom assessment tools were used to identify symptom clusters. Factors associated with symptom clusters included demographic, clinical, and biological factors. No studies examined the subjective experiences of symptom clusters. Overall, inconsistencies were identified in the composition of symptom clusters across studies. This may be due to variations in study design, assessment tools, and statistical methods. Future studies should attempt to arrive at a common definition, especially that is theoretically derived, for symptom clusters, standardize the criteria for symptoms for inclusion in the clusters, and focus on patients' subjective experience to inform which clusters are clinically relevant.

Physical Symptom Cluster Subgroups in Chronic Kidney Disease

BACKGROUND

Symptom burden associated with chronic kidney disease can be debilitating, with a negative effect on patient health-related quality of life. Latent class clustering analysis is an innovative tool for classifying patient symptom experience.

OBJECTIVES

The aim of the study was to identify subgroups of patients at greatest risk for high symptom burden, which may facilitate development of patient-centered symptom management interventions.

METHODS

In this cross-sectional analysis, baseline data were analyzed from 3,921 adults enrolled in the Chronic Renal Insufficiency Cohort Study from 2003 to 2008. Latent class cluster modeling using 11 items on the Kidney Disease Quality of Life symptom profile was employed to identify patient subgroups based on similar observed physical symptom response patterns. Multinomial logistic regression models were estimated with demographic variables, lifestyle and clinical variables, and self-reported measures (Kidney Disease Quality of Life physical and mental component summaries and the Beck Depression Inventory).

RESULTS

Three symptom-based subgroups were identified, differing in severity (low symptom, moderate symptom, and high symptom). After adjusting for other variables in multinomial logistic regression, membership in the high-symptom subgroup was less likely for non-Hispanic Blacks and men. Other factors associated with membership in the high-symptom subgroup included lower estimated glomerular filtration rate, history of cardiac/cardiovascular disease, higher Beck Depression Inventory scores, and lower Kidney Disease Quality of Life physical and mental component summaries.

DISCUSSION

Three symptom subgroups of patients were identified among patients with mild-to-moderate chronic kidney disease. Several demographic and clinical variables predicted membership in subgroups. Further research is needed to determine if symptom subgroups are stable over time and can be used to predict healthcare utilization and clinical outcomes.