Actively Recruiting

Age: 18Years +
All Genders
ID06542016

A Prospective Study on Predicting Cardiovascular Events and Mortality Risk in Maintenance Dialysis Patients Using Changes in KCCQ Scores

Led by Shenzhen Second People's Hospital · Updated on 2024-08-07

136

Participants Needed

1

Research Sites

8 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Cardiovascular disease is the leading complication and cause of death for patients with chronic kidney disease (CKD), especially those with End-Stage Renal Disease (ESRD) undergoing dialysis. This research aims to evaluate the Kansas City Cardiomyopathy Questionnaire (KCCQ), a tool that measures patient-reported heart failure symptoms, to see if changes in KCCQ scores can predict long-term cardiovascular events and overall mortality in dialysis patients. The study seeks to build a predictive model to help improve diagnosis and treatment of heart failure in this high-risk group. This is a prospective, single-center observational study involving patients on maintenance dialysis or newly diagnosed with uremia starting dialysis. There is no change to patients' treatments during the study. KCCQ assessments and relevant clinical tests will be collected at enrollment and then regularly during follow-up visits over 12 months. New uremia patients will have KCCQ scores collected at 0, 1, 2, 3, 6, 9, and 12 months, while maintenance dialysis patients will be assessed at 0, 3, 6, 9, and 12 months. Participants will complete the KCCQ questionnaire and undergo clinical evaluations at each visit. Researchers will track all-cause mortality, deaths from cardiovascular causes, and hospitalizations related to cardiovascular disease over 12 months. The study involves no interventions and aims to observe natural changes in health status. Follow-up will be at least one year to monitor outcomes and collect data for the predictive model.

CONDITIONS

Brief Title

An Evaluation of the KCCQ Score in Predicting Cardiovascular Risk in Dialysis Patients

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Age 18 or older with no gender or ethnicity restrictions
  • Diagnosed with chronic kidney disease stage 5 according to KDOQI guidelines
  • Newly diagnosed uremia patients planning to start maintenance dialysis or patients currently on maintenance dialysis
  • Clear contact information available for follow-up
  • Signed informed consent and ability to complete the KCCQ questionnaire
Not Eligible

You will not qualify if you...

  • Acute kidney injury from any cause
  • Severe mental illness affecting ability to complete questionnaires
  • Acute myocardial infarction, coronary stent implantation, coronary artery bypass grafting, or pacemaker implantation within the past 3 months
  • Special heart diseases such as cardiac amyloidosis, congenital heart disease, or pericardial diseases
  • Chronic lung diseases
  • Serious conditions like severe infections, tumors, or severe liver diseases
  • Scheduled for kidney transplantation

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - 1 week

Participants complete baseline KCCQ assessments and relevant test indexes within one week after enrollment.

1 baseline visit (in-person or remote)

Long-term Monitoring

Duration - At least 12 months

Participants are followed for at least 12 months with repeated KCCQ assessments and collection of relevant indicators to observe cardiovascular events and mortality risk. New-onset uremia patients have assessments at 0, 1, 2, 3, 6, 9, and 12 months; maintenance dialysis patients have assessments at 0, 3, 6, 9, and 12 months.

Multiple visits depending on cohort: new-onset uremia patients have up to 7 visits; maintenance dialysis patients have up to 5 visits

Trial Site Locations

Total: 1 location

1

First Shenzhen

Guangdong, Guangdong, China, 518000

Actively Recruiting

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Research Team

Y

Yi Xu

J

Jiafang Li

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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