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

NCT ID: NCT05793346

Last Updated: 2023-03-31

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

5000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-03-31

Study Completion Date

2023-12-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Chronic Kidney Diseases Pregnancy Related

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Study Groups

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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.

No interventions assigned to this group

Dataset 2: Kent Integrated Data

Maternal and laboratory data from East and West Kent in the UK.

No interventions assigned to this group

Dataset 3: Stockholm Creatinine Measurement

An observational dataset with laboratory data from individuals in Stockholm (Sweden)

No interventions assigned to this group

Dataset 4: Ontario Renal Network Pregnancy Cohort

A population-based cohort of women in Ontario who had an obstetric delivery with outpatient laboratory data.

No interventions assigned to this group

Dataset 5: Combined cohort of three obstetric studies within the UK

A combined cohort derived from three obstetric studies within the UK.

No interventions assigned to this group

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Maximum Eligible Age

50 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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King's College London

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

References

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Wiles K, Webster P, Seed PT, Bennett-Richards K, Bramham K, Brunskill N, Carr S, Hall M, Khan R, Nelson-Piercy C, Webster LM, Chappell LC, Lightstone L. The impact of chronic kidney disease Stages 3-5 on pregnancy outcomes. Nephrol Dial Transplant. 2021 Nov 9;36(11):2008-2017. doi: 10.1093/ndt/gfaa247.

Reference Type BACKGROUND
PMID: 33313680 (View on PubMed)

Tong A, Jesudason S, Craig JC, Winkelmayer WC. Perspectives on pregnancy in women with chronic kidney disease: systematic review of qualitative studies. Nephrol Dial Transplant. 2015 Apr;30(4):652-61. doi: 10.1093/ndt/gfu378. Epub 2014 Dec 18.

Reference Type BACKGROUND
PMID: 25523452 (View on PubMed)

Piccoli GB, Zakharova E, Attini R, Ibarra Hernandez M, Orozco Guillien A, Alrukhaimi M, Liu ZH, Ashuntantang G, Covella B, Cabiddu G, Li PKT, Garcia-Garcia G, Levin A. Pregnancy in Chronic Kidney Disease: Need for Higher Awareness. A Pragmatic Review Focused on What Could Be Improved in the Different CKD Stages and Phases. J Clin Med. 2018 Nov 5;7(11):415. doi: 10.3390/jcm7110415.

Reference Type BACKGROUND
PMID: 30400594 (View on PubMed)

Other Identifiers

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PREDICT_Protocol_V1

Identifier Type: -

Identifier Source: org_study_id