Construction of Symptom Network in Maintenance Hemodialysis Patients

NCT05837988 | Unknown DMC

• 1 other identifier: LY2023-071-B
• Study Type: observational
• Target: 517
• Locations: 1 country
• Sites: 1

Brief Summary

Through a cross-sectional questionnaire survey, a general information questionnaire and Dialysis Frequency, Severity, and Symptom Burden Index were used to investigate the frequency, severity, and degree of symptom distress in MHD patients, and to analyze the differences in symptom distress status between long and short dialysis age MHD patients. Using the R 4.2.2 software qgraph package, construct symptom networks for MHD patients of long and short dialysis age through network analysis. Analyze network centrality indicators, including intensity, closeness centrality, and mediation centrality, to identify core symptoms and compare if there are any differences between the two groups, aiming to lay the foundation for precise and efficient phased symptom management.

Conditions

Symptom Cluster; Symptoms and Signs; Hemodialysis Complication; Hemodialysis-Associated Pruritus

Keywords

Symptom Network; Hemodialysis; Symptom Burden; Symptom Management

Outcome Measures

Primary Outcomes (1)

• symptom burden

  Through a cross-sectional questionnaire survey, the Dialysis Frequency, Severity, and Symptom Burden Index were used to investigate the frequency, severity, and degree of symptom distress in MHD patients, and to analyze the differences in symptom distress status between long and short dialysis age MHD patients.

  at the time of patient enrollment

Study Arms (1)

MHD patients

Cross sectional survey, no intervention measures involved

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The participants are maintenance hemodialysis patients selected by convenience sampling method from six blood purification centers, including the East, West, South, Baoshan Branch of Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Ningbo Hangzhou Bay Hospital, and Punan Hospital.

You may qualify if:

• Age not less than 18 years old;
• Regular hemodialysis time greater than or equal to 3 months;
• The dialysis plan did not change within one month;
• Informed consent and voluntary participation in this study.

You may not qualify if:

• Previous or current mental illness;
• Cognitive impairment;
• Acute cardiovascular and cerebrovascular disease;
• Acute infection period;
• Complications such as severe cerebrovascular sequelae and tumors.

Sponsors & Collaborators

• RenJi Hospital: lead
• Ningbo No.2 Hospital: collaborator

Study Sites (1)

Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

Shanghai, Shanghai Municipality, China

Location

Related Publications (23)

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MeSH Terms

Conditions

Syndrome; Signs and Symptoms

Condition Hierarchy (Ancestors)

Disease; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Tingting Liu

  RenJi Hospital

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Yunyue Guo

CONTACT

00862168383312; guoyunyue@renji.com

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 17, 2023
• First Posted: May 1, 2023
• Study Start: May 8, 2023
• Primary Completion: May 8, 2023
• Study Completion: December 31, 2025
• Last Updated: May 1, 2023

Record last verified: 2023-04

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)