Literature DB >> 31948521

[Clinical effect of continuous blood purification in treatment of multiple organ dysfunction syndrome in neonates].

Wei-Feng Zhang1, Dong-Mei Chen, Lian-Qiang Wu, Rui-Quan Wang.   

Abstract

OBJECTIVE: To study the clinical effect and complications of continuous blood purification (CBP) in the treatment of multiple organ dysfunction syndrome (MODS) in neonates.
METHODS: A retrospective analysis was performed for the clinical data of 21 neonates with MODS who were admitted to the neonatal intensive care unit from November 2015 to April 2019 and were treated with CBP. Clinical indices were observed before treatment, at 6, 12, 24, and 36 hours of CBP treatment, and at the end of treatment to evaluate the clinical effect and safety of CBP treatment.
RESULTS: Among the 21 neonates with MODS undergoing CBP, 17 (81%) had response to treatment. The neonates with response to CBP treatment had a significant improvement in oxygenation index at 6 hours of treatment, a significant increase in urine volume at 24 hours of treatment, a stable blood pressure within the normal range at 24 hours of treatment, and significant reductions in the doses of the vasoactive agents epinephrine and dopamine at 6 hours of treatment (P<0.05), as well as a significant reduction in serum K+ level at 6 hours of treatment, a significant improvement in blood pH at 12 hours of treatment, and significant reductions in blood lactic acid, blood creatinine, and blood urea nitrogen at 12 hours of treatment (P<0.05). Among the 21 neonates during CBP treatment, 6 experienced thrombocytopenia, 1 had membrane occlusion, and 1 experienced bleeding, and no hypothermia, hypotension, or infection was observed.
CONCLUSIONS: CBP is a safe, feasible, and effective method for the treatment of MODS in neonates, with few complications.

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Mesh:

Year:  2020        PMID: 31948521

Source DB:  PubMed          Journal:  Zhongguo Dang Dai Er Ke Za Zhi        ISSN: 1008-8830


  1 in total

1.  Multiple Organ Dysfunction Syndrome Caused by Sepsis: Risk Factor Analysis.

Authors:  Guo-Dong Sun; Yang Zhang; Shan-Shan Mo; Ming-Yan Zhao
Journal:  Int J Gen Med       Date:  2021-10-27
  1 in total

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