Abstract 4361996: Prevalence of Cardiovascular-Kidney-Metabolic Syndrome and Association with Target Organ Injury in Youth with Hypertension Disorders Who Have Congenital Heart Disease: A SUPERHERO Analysis

Introduction/Background: Cardiovascular-kidney-metabolic (CKM) syndrome is the interplay between metabolic risk factors such as obesity and diabetes, chronic kidney disease (CKD), and cardiovascular disease (CVD). Youth with congenital heart disease (CHD) can have increased baseline CVD risk due to structural heart disease and associated procedures, but data on CKM syndrome in this group are limited. Presence of CKM syndrome with CHD could further increase cardiac risk in these youth. Research Questions/Hypothesis: Estimate prevalence of CKM syndrome in youth with hypertension disorders who have CHD and estimate its association with target organ injury (TOI). Methods/Approach: A cross-sectional analysis was performed on baseline data from 7 sites in the Study of the Epidemiology of Pediatric Hypertension (SUPERHERO), a retrospective registry of electronic health record data. Data were acquired using standardized biomedical informatics scripts and validated by randomly selected manual record review. Inclusion criteria were youth <19 years old with CHD who received subspecialty care for hypertension disorders from 1/1/2016–12/31/2023 defined by ICD-10 codes. Exclusion criteria were kidney failure on dialysis, kidney transplantation, or pregnancy by ICD-10 codes. We estimated CKM syndrome stage prevalence and used directed acyclic graph-informed multivariable generalized linear models to evaluate the association between CKM stages 0-2 and risk of TOI by ICD-10 codes. Results/Data: There were 9356 participants (Table 1: 38% female, mean age 12.8 years [SD 4.5]). There were 212 participants (2%) with CHD—10% having CKM Stage 0, 16% CKM Stage 1, and 66% CKM Stage 2. There was no difference in CKM syndrome prevalence between youth with CHD and those without CHD. TOI was seen in 8% of youth with CHD; however, CKM syndrome was not found to be associated with TOI (Table 2). Conclusion(s): Nearly two-thirds of youth with hypertension disorders and CHD had CKM Stage 2. However, there was no difference in CKM syndrome prevalence between those with CHD versus those without CHD, and there was no association between CKM syndrome and TOI in those with CHD. Ongoing steps are to improve accuracy and validity of CHD, CKM, and TOI definitions within SUPERHERO by validating with medical and surgical histories to better assess potential risk in these patients.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4361996
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4361996: Prevalence of Cardiovascular-Kidney-Metabolic Syndrome and Association with Target Organ Injury in Youth with Hypertension Disorders Who Have Congenital Heart Disease: A SUPERHERO Analysis

Andrew Tran, Mahmoud Kallash, Andrew P. South, Omar Khalid
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4361996: Prevalence of Cardiovascular-Kidney-Metabolic Syndrome and Association with Target Organ Injury in Youth with Hypertension Disorders Who Have Congenital Heart Disease: A SUPERHERO Analysis

Andrew Tran, Mahmoud Kallash, Andrew P. South, Omar Khalid
article en

Abstract

Introduction/Background: Cardiovascular-kidney-metabolic (CKM) syndrome is the interplay between metabolic risk factors such as obesity and diabetes, chronic kidney disease (CKD), and cardiovascular disease (CVD). Youth with congenital heart disease (CHD) can have increased baseline CVD risk due to structural heart disease and associated procedures, but data on CKM syndrome in this group are limited. Presence of CKM syndrome with CHD could further increase cardiac risk in these youth. Research Questions/Hypothesis: Estimate prevalence of CKM syndrome in youth with hypertension disorders who have CHD and estimate its association with target organ injury (TOI). Methods/Approach: A cross-sectional analysis was performed on baseline data from 7 sites in the Study of the Epidemiology of Pediatric Hypertension (SUPERHERO), a retrospective registry of electronic health record data. Data were acquired using standardized biomedical informatics scripts and validated by randomly selected manual record review. Inclusion criteria were youth <19 years old with CHD who received subspecialty care for hypertension disorders from 1/1/2016–12/31/2023 defined by ICD-10 codes. Exclusion criteria were kidney failure on dialysis, kidney transplantation, or pregnancy by ICD-10 codes. We estimated CKM syndrome stage prevalence and used directed acyclic graph-informed multivariable generalized linear models to evaluate the association between CKM stages 0-2 and risk of TOI by ICD-10 codes. Results/Data: There were 9356 participants (Table 1: 38% female, mean age 12.8 years [SD 4.5]). There were 212 participants (2%) with CHD—10% having CKM Stage 0, 16% CKM Stage 1, and 66% CKM Stage 2. There was no difference in CKM syndrome prevalence between youth with CHD and those without CHD. TOI was seen in 8% of youth with CHD; however, CKM syndrome was not found to be associated with TOI (Table 2). Conclusion(s): Nearly two-thirds of youth with hypertension disorders and CHD had CKM Stage 2. However, there was no difference in CKM syndrome prevalence between those with CHD versus those without CHD, and there was no association between CKM syndrome and TOI in those with CHD. Ongoing steps are to improve accuracy and validity of CHD, CKM, and TOI definitions within SUPERHERO by validating with medical and surgical histories to better assess potential risk in these patients.

CirculationVol. 152(Suppl_3)
Nationwide Children's Hospital (US), Wake Forest University (US)
Openalex Percentile: Top 51%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.