Evidence mapPaperPMID 41367538Full record

ArticleTranslational pediatrics2025

Nocturnal hypertension predicts left ventricular hypertrophy in children with primary hypertension.

Jiayu Wang, Jialing Zhang, Chen Chu, Jie Wang, Fang Liu, Feng Wang, Yonghao Gui

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In one paragraph

Article in Translational pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiayu Wang *National Health Commission Key Laboratory of Neonatal Diseases (Fudan University), Shanghai, China.ORCID https://orcid.org/0000-0002-5608-0738
Jialing Zhang *National Health Commission Key Laboratory of Neonatal Diseases (Fudan University), Shanghai, China.
Chen ChuHeart Center, Children's Hospital of Fudan University, Shanghai, China.
Jie WangHeart Center, Children's Hospital of Fudan University, Shanghai, China.
Fang LiuHeart Center, Children's Hospital of Fudan University, Shanghai, China.
Feng WangHeart Center, Children's Hospital of Fudan University, Shanghai, China.
Yonghao GuiNational Health Commission Key Laboratory of Neonatal Diseases (Fudan University), Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childhood hypertension is a significant global health concern, with left ventricular hypertrophy (LVH) being its most common target organ damage. Evidence from Chinese pediatric populations remains scarce. Therefore, this study aimed to investigate the risk factors of LVH in children with primary hypertension and to develop a prediction model. Methods: In this cross-sectional study, 121 children diagnosed with primary hypertension (aged 3-17 years) admitted to Children's Hospital of Fudan University (January 1, 2019-December 31, 2024) were included. Clinical data (age, sex, height, weight, birth history, and family history of hypertension), laboratory parameters, 24-hour ambulatory blood pressure monitoring (ABPM), and echocardiography were collected. Participants were stratified into the LVH group and the non-LVH group based on left ventricular mass index (LVMI). Partial correlation analysis evaluated associations of variables with left ventricular mass and LVMI. Stepwise multivariable logistic regression was used to identify independent risk factors. Based on significant factors, a risk prediction model was constructed, with model performance assessed via receiver operating characteristic (ROC) curves [area under the curve (AUC)] and goodness-of-fit tests (Hosmer-Lemeshow χ Results: LVH was observed in 17.4% (21/121) of participants, predominantly concentric hypertrophy. Partial correlation analysis adjusted for age and sex revealed positive correlations of alanine aminotransferase (ALT), aspartate aminotransferase (AST), 24-hour mean systolic blood pressure (SBP), daytime mean SBP, and morning mean SBP (the average of ambulatory SBP readings taken within 2 hours of waking up) with LVMI (r=0.26, 0.37, 0.25, 0.25, and 0.23, all P<0.05), respectively. Nocturnal hypertension was identified as an independent risk factor of LVH [odds ratio (OR) =4.07; 95% confidence interval (CI): 1.47-13.24; P=0.01]. The combined prediction model incorporating age, sex, body mass index (BMI), and nocturnal hypertension demonstrated a moderate discrimination (AUC =0.710; 95% CI: 0.593-0.827) and good calibration (Hosmer-Lemeshow χ Conclusions: This study identified nocturnal hypertension as a critical independent risk factor for LVH in pediatric primary hypertension. The prediction model may provide valuable insights for early identification of LVH.

Indexed as

Childleft ventricular hypertrophy (LVH)nocturnal hypertensionprimary hypertensionrisk factor

Identifiers

PMID41367538
PMCPMC12683390

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.