Symptom clusters in patients with colorectal cancer after colostomy: a longitudinal study in Shanghai

Investigation of core symptoms and symptom clusters in maintenance hemodialysis patients: A network analysis

PURPOSE

To construct a symptom network of maintenance hemodialysis patients and identify the core symptoms and core symptom clusters. Finally, this study provides a reference for accurate symptom management.

DESIGN AND METHOD

A correlational cross-sectional design. A total of 368 patients who underwent maintenance hemodialysis were enrolled from two hemodialysis centers in Chengdu, Sichuan Province, China. A symptom network was constructed with the R coding language to analyze the centrality index. Symptom clusters were extracted by exploratory factor analysis, and core symptom clusters were preliminarily determined according to the centrality index of the symptom network.

FINDINGS

The most common symptoms in maintenance hemodialysis patients were fatigue, dry skin, and pruritus. In the symptom network, headache had the highest mediation centrality (rB = 2.789) and closeness centrality (rC = 2.218) and the greatest intensity of numbness or tingling in the feet (rS = 1.952). A total of six symptom clusters were extracted, including pain and discomfort symptom clusters, emotional symptom clusters, gastrointestinal symptom clusters, sleep disorder symptom clusters, dry symptom clusters, and sexual dysfunction symptom clusters. The cumulative variance contribution rate was 69.269%.

CONCLUSIONS

Fatigue, dry skin, and pruritus are the sentinel symptoms of maintenance hemodialysis patients, headache is the core symptom and bridge symptom, and pain symptom clusters are the core symptom clusters of MHD patients. Nurses can develop interventions based on core symptoms and symptom clusters to improve the effectiveness of symptom management in maintenance hemodialysis patients.

CLINICAL RELEVANCE

Understanding the core symptoms and symptom groups that plague maintenance hemodialysis patients is critical to providing accurate symptom management. To ensure that maintenance hemodialysis patients receive effective support during treatment, reduce the adverse effects of symptoms, and improve the quality of life of patients.

From a Clustering of Adverse Symptoms after Colorectal Cancer Therapy to Chronic Fatigue and Low Ability to Work: A Cohort Study Analysis with 3 Months of Follow-Up

In colorectal cancer (CRC) patients, apart from fatigue, psychological and physical symptoms often converge, affecting their quality of life and ability to work. Our objective was to ascertain symptom clusters within a year following CRC treatment and their longitudinal association with persistent fatigue and reduced work ability at the 3-month follow-up. We used data from MIRANDA, a multicenter cohort study enrolling adult CRC patients who are starting a 3-week in-patient rehabilitation within a year post-curative CRC treatment. Participants completed questionnaires evaluating symptoms at the start of rehabilitation (baseline) and after three months. We performed an exploratory factor analysis to analyze the clustering of symptoms at baseline. Longitudinal analysis was performed using a multivariable linear regression model with dichotomized symptoms at baseline as independent variables, and the change in fatigue and ability to work from baseline to 3-month-follow-up as separate outcomes, adjusted for covariates. We identified six symptom clusters: fatigue, gastrointestinal symptoms, pain, psychosocial symptoms, urinary symptoms, and chemotherapy side effects. At least one symptom from each factor was associated with higher fatigue or reduced ability to work at the 3-month follow-up. This study highlights the interplay of multiple symptoms in influencing fatigue and work ability among CRC patients post-rehabilitation.

Exploring the dynamics of perioperative symptom networks in colorectal cancer patients: a cross-lagged panel network analysis

BACKGROUND

Colorectal cancer incidence is on the rise, necessitating precise symptom management. However, causal relationships among symptoms have been challenging to establish due to reliance on cross-sectional data. Cross-lagged panel network (CLPN) analysis offers a solution, leveraging longitudinal data for insight.

OBJECTIVE

We employed CLPN analysis to construct symptom networks in colorectal cancer patients at three perioperative time points, aiming to identify predictive relationships and intervention opportunities.

METHODS

We evaluated the prevalence and severity of symptoms throughout the perioperative period, encompassing T1 the first day of admission, T2 2-3 days postoperatively, and T3 discharge, utilizing the M. D. Anderson Symptom Inventory Gastrointestinal Cancer Module (MDASI-GI). To identify crucial nodes in the network and explore predictive and interactive effects among symptoms, CLPNs were constructed from longitudinal data in R.

RESULTS

The analysis revealed a stable network, with disturbed sleep exhibiting the highest out-EI (outgoing expected influence) during T1. Distress had a sustained impact throughout the perioperative. Disturbed sleep at T1 predicted T2 bloating, fatigue, distress, and pain. T1 distress predicted T2 sadness severity. T2 distress primarily predicted T3 fatigue, disturbed sleep, changes in taste, and bloating. T2 shortness of breath predicted T3 changes in taste and loss of appetite. Furthermore, biochemical markers like RBC and ALB had notable influence on symptom clusters during T1→T2 and T2→T3, respectively.

CONCLUSION

Prioritizing disturbed sleep during T1 and addressing distress throughout the perioperative phase is recommended. Effective symptom management not only breaks the chain of symptom progression, enhancing healthcare impact, but also eases patient symptom burdens.

Changes in the symptom clusters of elderly patients with lung cancer over the course of postoperative rehabilitation and their correlation with frailty and quality of life: A longitudinal study

OBJECTIVE

To explore changes in the symptom clusters of perioperatively elderly patients with lung cancer at different time points (i.e., the day of admission [T0]), 2-4 days after surgery [T1], 1 month after discharge [T2] and 3 months after discharge [T3]) and to analyze correlations between cluster severity, frailty and quality of life (QOL).

METHODS

A longitudinal study was conducted from August 2020 to June 2021 among elderly lung cancer patients undergoing surgery at hospitals in Jiangsu Province. Data were collected using the Chinese Tilburg Frailty Indicator, the MD Anderson Symptom Inventory and the Quality of Life-Core scale.

RESULTS

According to exploratory factor analysis, a total of 5 symptom clusters were found and three of them (the global mental function symptom cluster, the special mental function symptom cluster and the respiratory function symptom cluster) were persistent. The incidence of the top four symptoms varied at different time points. The severity of symptom clusters at different time points was positively correlated with frailty and negatively correlated with QOL.

CONCLUSIONS

The findings may serve as a reference for medical staff to implement symptom management in elderly lung cancer patients after surgery. Frailty may be an important variable affecting the severity of symptom clusters and the QOL of patients.

Mutual communication processes within Chinese colorectal cancer patient-spousal caregiver dyads: A qualitative study of taking gender into account

PURPOSE

Mutual communication within cancer couples is a complex process. More research is needed to explore the complex process of mutual communication and its nuances presented by various factors in different culture contexts. Gender, a factor embedded in marital relationships, is an important consideration. We thus aim to explore the mutual communication process within Chinese colorectal cancer couples and take gender into account.

METHODS

A qualitative study was conducted by interviewing 20 colorectal cancer patients and 15 spousal caregivers. Inductive thematic analysis was used to analyze the transcripts.

RESULTS

Three themes (mutual communication and support interaction, communication quality, and foundation of mutual communication and collaboration) were developed. Gender was found to have specific impact on emotional disclosure and communication challenges. A preliminary framework of "smile" was constructed to demonstrate the relationship among the three themes and the relationships between the three themes and dyads' psychosocial adaptation to colorectal cancer.

CONCLUSIONS

Study findings demonstrate complex mutual communication processes within colorectal cancer couples and the impact of gender. The findings will contribute to developing more effective colorectal cancer couple-based mutual communication interventions. Health practitioners are suggested to improve mutual communication within colorectal cancer couples in three aspects: relational topics, emotional disclosure and communication skills. Guiding couples to deal with each theme and the relationship among the themes simultaneously is helpful for them to return and smile to their normal life.

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

BACKGROUND

Symptom 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.

METHODS

The 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.

RESULTS

A 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.

CONCLUSIONS

Hemodialysis 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.