Establishing a mathematical standard model for calculating the volume of peripheral arteriovenous synchronous blood exchange transfusion in neonates with severe hyperbilirubinemia

SVET can effectively reduce total serum bilirubin levels in neonates with severe hyperbilirubinemia. Clinicians may use SVET for treating the condition in combination with phototherapy.

Authors

Institutions

Publication Details

Journal
Pakistan Journal of Medical Sciences
Published
2025-08-01
DOI
https://doi.org/10.12669/pjms.41.8.12393
Primary Topic
Neonatal Health and Biochemistry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishing a mathematical standard model for calculating the volume of peripheral arteriovenous synchronous blood exchange transfusion in neonates with severe hyperbilirubinemia

Jianjun Pan, Bing Wang, Tongjin Yin, Sheng Cheng
Pakistan Journal of Medical Sciences
Neonatal Health and Biochemistry
article

Establishing a mathematical standard model for calculating the volume of peripheral arteriovenous synchronous blood exchange transfusion in neonates with severe hyperbilirubinemia

Jianjun Pan, Bing Wang, Tongjin Yin, Sheng Cheng
article en

Abstract

SVET can effectively reduce total serum bilirubin levels in neonates with severe hyperbilirubinemia. Clinicians may use SVET for treating the condition in combination with phototherapy.

Pakistan Journal of Medical SciencesVol. 41(8)
Yancheng Third People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 71%
Neonatal Health and Biochemistry
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.