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Author
Murayama, Hidehiko
Nakata, Yusei
Kanazawa, Akane
Watanabe, Hirokazu
Shigemitsu, Yusuke
Iwasaki, Yuka
Tokorodani, Chiho
Miyazawa, Mari
Nishiuchi, Ritsuo
Kikkawa, Kiyoshi
Abstract
Ventriculoperitoneal shunts (VPSs) are used for the treatment of hydrocephalus. Here we analyzed the outcomes of VPS placements in 24 infants to determine the risk factors for shunt failure. The infants had undergone the initial VPS operation in our hospital between March 2005 and December 2013. They were observed until the end of January 2014. We obtained Kaplan-Meier curves and performed a multivariate Cox regression analysis of shunt failure. Of the 24 cases, the median (range) values for gestational age, birth weight, and birth head circumference (HC) were 37 (27-39) wks, 2,736 (686-3,788) g, and 35.3 (23.0-45.3) cm, respectively. The total number of shunt procedures was 45. Shunt failure rates were 0.51/shunt and 0.0053/shunt/year. Shunt infection rates were 0.13/shunt and 0.0014/shunt/year. The Kaplan-Meier analysis revealed an increased risk for shunt failure in infants <1 month old or in the HC >90オtile. The Cox regression analysis yielded hazard ratios (HRs) of 2.93 (95オ confidence interval (CI), 0.96-10.95, p=0.059) for age <1 month, and 4.46 (95オCI:1.20-28.91,p=0.023) for the HC >90オtile. The multivariate Cox regression analysis showed adjusted HRs of 17.56 (95オCI:2.69-202.8, p=0.001) for age <1 month, and 2.95 (95オCI:0.52-24.84, p=0.228) for the HC >90オtile. Our findings thus revealed that the risk factors for shunt failure in infants include age <1 month at the initial VPS placement.
Keywords
head circumference
shunt failure
shunt infection
ventriculoperitoneal shunt
Amo Type
Original Article
Publication Title
Acta Medica Okayama
Published Date
2015-04
Volume
volume69
Issue
issue2
Publisher
Okayama University Medical School
Start Page
87
End Page
93
ISSN
0386-300X
NCID
AA00508441
Content Type
Journal Article
language
English
Copyright Holders
CopyrightⒸ 2015 by Okayama University Medical School
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publisher
Refereed
True
PubMed ID
Web of Science KeyUT