Pregnancy-associated Progression of Chronic Kidney Disease: A Study Protocol for the Development and Validation of a Clinical Predictive Tool (PREDICT)

March 29, 2023 updated by: King's College London
To develop and validate a tool that estimates the degree of pregnancy-associated progression of renal disease in women with CKD and pregnancy outcomes in an international multicentre cohort study.

Study Overview

Status

Not yet recruiting

Detailed Description

The aim of this study is to develop and validate a tool that estimates the degree of pregnancy-associated progression of renal disease in women with CKD and pregnancy outcomes in an international multicentre cohort study. Two prediction models will be developed to estimate the likelihood of both outcomes. The models will be developed and internally validated in one cohort in the United Kingdom and then externally validated using four international datasets.

Study Type

Observational

Enrollment (Anticipated)

5000

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 50 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

Women with pre-existing chronic kidney disease, defined as eGFR < 90mls/min/1.73m2 within 24 months of conception.

Description

Inclusion Criteria:

  • Women with an estimated Glomerular Filtration Rate (eGFR) using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) without ethnicity adjustment, less than 90mls/min/1.73m2 within 24 months pre-conception will be included

Exclusion Criteria:

  • Women established on dialysis at time of conception
  • Multi-fetal pregnancies
  • Known inpatient eGFR measurement
  • No preconception eGFR within 24 months will be excluded.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Dataset 1: National Registry of Rare Kidney Diseases
This dataset is the: National Registry of Rare Kidney Diseases from the UK Renal Registry, this is a UK-wide, linked dataset. This cohort includes any woman who has previously had a previous diagnosis of kidney disease in the UK with maternity records and who has consented to participate.
Dataset 2: Kent Integrated Data
Maternal and laboratory data from East and West Kent in the UK.
Dataset 3: Stockholm Creatinine Measurement
An observational dataset with laboratory data from individuals in Stockholm (Sweden)
Dataset 4: Ontario Renal Network Pregnancy Cohort
A population-based cohort of women in Ontario who had an obstetric delivery with outpatient laboratory data.
Dataset 5: Combined cohort of three obstetric studies within the UK
A combined cohort derived from three obstetric studies within the UK.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Primary outcome a 25% or greater decline in eGFR between six weeks and 12 months postpartum or initiation of dialysis
Time Frame: Six weeks to 12 months postpartum
A >=25% reduction in eGFR between six weeks and 12 months postpartum or initiation of dialysis.
Six weeks to 12 months postpartum

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Secondary outcome: a preterm birth less than 34 weeks or small for gestational age less than 3rd percentile.
Time Frame: To be recorded within 24 hours of date of delivery (Index event is the day of delivery). This outcome is measured on date of delivery.
A composite outcome of preterm birth defined as less than 34 weeks gestation and/or SGA < 3rd percentile.
To be recorded within 24 hours of date of delivery (Index event is the day of delivery). This outcome is measured on date of delivery.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

March 1, 2023

Primary Completion (Anticipated)

December 1, 2023

Study Completion (Anticipated)

December 1, 2023

Study Registration Dates

First Submitted

March 6, 2023

First Submitted That Met QC Criteria

March 29, 2023

First Posted (Actual)

March 31, 2023

Study Record Updates

Last Update Posted (Actual)

March 31, 2023

Last Update Submitted That Met QC Criteria

March 29, 2023

Last Verified

March 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • PREDICT_Protocol_V1

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

There is no plan to share individual participant data.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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