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Pediatric Longitudinal Glomerular Disease: a PNRC Multi-Institutional Cohort Study

NCT07931170, Recruiting, Pediatric Nephrology Research Consortium

Trial 8

As registered on ClinicalTrials.gov, in the graph's capture of the registry.

FieldValueSource
TitlePediatric Longitudinal Glomerular Disease: a PNRC Multi-Institutional Cohort StudyClinicalTrials.gov
NCT numberNCT07931170ClinicalTrials.gov
StatusRecruitingClinicalTrials.gov
Enrollment1,000 participants, estimatedClinicalTrials.gov
Lead sponsorPediatric Nephrology Research ConsortiumClinicalTrials.gov
Conditions
IgA Nephropathy (IgAN), IgA Vasculitis, Idiopathic Immune Complex Glomerulonephritis, C3 Glomerulopathy, Membranous Nephropathy, Focal and Segmental Glomerulosclerosis, Minimal Change Disease, Anti-Neutrophilic Cytoplasmic Antibody-GN (ANCA), Lupus Nephritis (LN), Alport Syndrome, Infection-related or Post-infectious Glomerulonephritis, Idiopathic Nephrotic Syndrome (INS)
ClinicalTrials.gov
First posted2026-11-12ClinicalTrials.gov
Last updated2026-11-12ClinicalTrials.gov

Registered outcomes 13

Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.

ListOutcomeTime frameDescriptionSource
PrimaryProteinuria, and change over time thereof (urine protein-creatinine ratio)Baseline and follow up timepoints (every 6 months) post-diagnosis to be reviewed at end of years 1 and 2 of data collection
To characterize the longitudinal trajectory and progression of proteinuria, measured by urine protein-creatinine ratio (UPCR), following diagnosis and to identify baseline demographic and clinical factors associated with changes in proteinuria over time.
ClinicalTrials.gov
SecondaryPercent change in estimated glomerular filtration rate (eGFR) from baseline to follow upTwo years after study initiation
To characterize longitudinal changes in kidney function as measured by estimated glomerular filtration rate (eGFR) and to identify baseline demographic and clinical factors associated with changes in kidney function over time.
ClinicalTrials.gov
SecondaryeGFR, and change (from baseline) overtimeTwo years after study initiationMeasures how much a patient's kidney filtering capacity has increased or decreased over time compared to their initial starting measurementClinicalTrials.gov
SecondaryGrowth trajectory, derived from height and weightTwo years after study initiation
Describe longitudinal growth patterns (e.g., height, weight, BMI z -scores) and identify disease-related factors associated with impaired growth trajectories. Growth trajectory will be defined as change in height and weight over time. We will calculate height-for-weight Z score, weight-for-height Z score and BMI Z-score over time.
ClinicalTrials.gov
SecondaryDevelopmental trajectory derived from QOL survey of caregiverTwo years after study initiation
Characterizing developmental progression, measured over time and identify clinical factors associated with delays or deviations from expected developmental milestones. Time to attainment of key developmental milestones (derived from QOL survey of caregiver) will be summarized using mean and standard deviation or median and interquartile range. The proportion of patients with delayed development at baseline (first assessment after diagnosis) and follow up will also be reported.
ClinicalTrials.gov
SecondaryEducational attainment trajectory and milestones, derived from QOL of caregiverTwo years after study initiation
Evaluation of educational outcomes over follow-up and examine associations between disease severity and academic achievement. Time to attainment of key educational milestones will be summarized using mean and standard deviation or median and interquartile range. The proportion of patients with delayed educational attainment at baseline (first assessment after diagnosis) and follow up will also be reported.
ClinicalTrials.gov
SecondaryCaregiver effect: Missed days of school and work for caregiverTwo years after study initiation
To quantify school absenteeism and examine its relationship with disease burden and clinical progression. Missed school days will be summarized using descriptive statistics (mean and standard deviation or median and interquartile range as appropriate)
ClinicalTrials.gov
SecondaryUnplanned Hospitalization(s)Two years after study initiation
To estimate the frequency and timing of unplanned hospitalizations and identify factors associated with unplanned hospitalizations. Unplanned Hospitalization will be summarized using descriptive statistics. The association between clinical factors and number of unplanned hospitalizations will be examined with a multivariable negative binomial regression model
ClinicalTrials.gov
SecondaryInfections (Urine, ear, skin/tissue, URI and others)Two years after study initiation
To characterize the incidence and types of infections during follow -up and evaluate clinical factors associated with increased infection risk. The incidence and type of infection will be reported with the corresponding 95% CI at each follow up time point. The association between clinical factors and infection will be evaluated using multivariable mixed models with random effects for patient and site
ClinicalTrials.gov
SecondaryHistopathological Response based on serial biopsy reports and imagesTwo years after study initiation
To describe longitudinal changes in histopathological findings and evaluate associations between pathological features and disease progression. Histopathological Response will each be summarized in the analytic population during the exposure period using descriptive statistics. Distributions will be compared across age groups where appropriate, using Chi -Square or Fisher's exact test, for categorical variables, and Kruskal-Wallis for continuous variables
ClinicalTrials.gov
SecondaryRenal failure (including dialysis-dependence)Two years after study initiation
To determine the incidence and timing of progression to renal failure (including dialysis-dependence) and to identify prognostic factors associated with risk of progression. The incidence of renal failure will be summarized with the corresponding 95% confidence interval for each disease group. The association between clinical characteristics and time to renal failure will be evaluated using Fine and Gray subdistribution hazard model with prespecified covariates (see above); accounting for mortality (not related to renal failure) and renal transplantation as competing risks.
ClinicalTrials.gov
SecondaryRenal TransplantationTwo years after study initiation
To characterize the incidence and timing of renal transplantation and describe clinical characteristics associated with progression to transplant. The incidence of renal transplantation will be summarized with the corresponding 95% confidence interval for each disease group. Association between clinical characteristics and time to renal transplantation will be evaluated with Fine and Gray sub distribution hazard model with prespecified covariates; accounting for mortality (not related to renal transplantation) and renal failure as competing risks. Time to renal transplantation will be defined as time from diagnosis of GD to the first occurrence of renal transplantation and survivors who do not receive renal transplantation will be censored at the last day of follow up or end of study, whichever occurs first.
ClinicalTrials.gov
SecondaryDeathTwo years after study initiation
To estimate overall survival and identify baseline demographic and clinical factors associated with risk of death during follow-up. Association between clinical characteristics and mortality will be evaluated using a multivariable Cox proportional hazards regression with prespecified baseline and time-varying covariates (see below). Survival time will be defined as time from diagnosis of GD to death and survivors will be censored at the last day of follow up or end of study, whichever occurs first.
ClinicalTrials.gov

Outcomes 0

Each outcome the trial posted results for, in ClinicalTrials.gov's words.

TypeOutcomeTime framePopulationUnitsMeasured asSource

Results by group 0

Each measurement the trial posted, group by group, in the words and numbers it posted.

OutcomeGroupCategoryValueSpreadUnitsSource

Participant flow 0

How many started, completed or left each group, period by period.

PeriodMilestoneGroupParticipantsUnits countedSource

Adverse events 0

Each adverse event the trial posted, group by group: the participants affected out of those at risk.

TypeEventOrgan systemGroupAffectedAt riskEventsSource

Adverse event totals 0

The totals the trial posted for each group.

TotalGroupAffectedAt riskSource

Papers 6

The papers the trial lists on ClinicalTrials.gov.

PMIDListed asSource
21713524BACKGROUNDPubMed
21820983BACKGROUNDPubMed
23269572BACKGROUNDPubMed
36578658BACKGROUNDPubMed
37055195BACKGROUNDPubMed
40244693BACKGROUNDPubMed

Trial comparisons 0

Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.

ComparisonSource

Tests 0

The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.

TestNamed asSource

Source 4

FieldValueSource
Releasetrials-2026-11-12-0.3.0ClinicalTrials.gov
Release manifest SHA-2564a570df2e7274cee2d4fa2959402fab41880e2cd412e4b590390035fbea69391ClinicalTrials.gov
Registry capture2026-11-12ClinicalTrials.gov
Results copy, AACT2026-03-23ClinicalTrials.gov

The same record as JSON

Release trials-2026-11-12-0.3.0

ClinicalTrials.gov's posted results, through CTTI's AACT: ClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299 ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

ClinicalTrials.gov: none stated ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.