Relationship between platelet distribution width and non-dipping pattern in children with essential hypertension

Non-dipping pattern in children hypertension is common, and the proportion of left ventricular hypertrophy is higher in non-dipping hypertension children. Moreover, higher PDW, hs-CRP and TG levels are the risk factors for non-dipping status in essential hypertension children.

Authors

Institutions

Publication Details

Journal
BMC Pediatrics
Published
2025-01-22
DOI
https://doi.org/10.1186/s12887-025-05420-2
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between platelet distribution width and non-dipping pattern in children with essential hypertension

Ling Sun, Daoping Yang, Haitao Lv, Miao Hou et al.
BMC Pediatrics
Inflammatory Biomarkers in Disease Prognosis
article

Relationship between platelet distribution width and non-dipping pattern in children with essential hypertension

Ling Sun, Daoping Yang, Haitao Lv, Miao Hou, Xuan Li, Wanping Zhou, Bo Wang, Yunjia Tang
article en

Abstract

Non-dipping pattern in children hypertension is common, and the proportion of left ventricular hypertrophy is higher in non-dipping hypertension children. Moreover, higher PDW, hs-CRP and TG levels are the risk factors for non-dipping status in essential hypertension children.

BMC PediatricsVol. 25(1)
Soochow University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 98%
Inflammatory Biomarkers in Disease Prognosis
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.