Prediction of Congenital Portosystemic Shunt in Neonatal Hypergalactosemia Using Gal-1-P/Gal Ratio, Bile Acid, and Ammonia.

IF 4 Q1 GENETICS & HEREDITY
Sayaka Suzuki-Ajihara, Ikuma Musha, Masato Arao, Koki Mori, Shunsuke Fujibayashi, Ihiro Ryo, Tomotaka Kono, Asako Tajima, Hiroshi Mochizuki, Atsuko Imai-Okazaki, Ryuichiro Araki, Chikahiko Numakura, Akira Ohtake
{"title":"Prediction of Congenital Portosystemic Shunt in Neonatal Hypergalactosemia Using Gal-1-P/Gal Ratio, Bile Acid, and Ammonia.","authors":"Sayaka Suzuki-Ajihara, Ikuma Musha, Masato Arao, Koki Mori, Shunsuke Fujibayashi, Ihiro Ryo, Tomotaka Kono, Asako Tajima, Hiroshi Mochizuki, Atsuko Imai-Okazaki, Ryuichiro Araki, Chikahiko Numakura, Akira Ohtake","doi":"10.3390/ijns11030061","DOIUrl":null,"url":null,"abstract":"<p><p>Congenital portosystemic shunts (CPSSs) are often associated with life-threatening systemic complications, which may be detected by identifying hypergalactosemia in newborn screening (NBS). However, diagnosing CPSS at an early stage is not easy. The purpose of this study was to predict CPSS early using screening values and general blood tests. The medical records of 153 patients with hypergalactosemia who underwent NBS in Saitama Prefecture between 1 December 1997 and 31 October 2023 were retrospectively analyzed. We provided the final diagnosis of the analyzed patients. Of the 153 patients, 44 (29%) were in the CPSS group and 83 (54%) were in the transient galactosemia group. Using the initial screening items and the six blood test items, we attempted to extract a CPSS group from the transient galactosemia group. Finally, a model for CPSS prediction was established. From multiple logistic regression analysis, filtered blood galactose-1 phosphate/galactose, serum total bile acid, and ammonia were adopted as explanatory variables for the prediction model. If the cut-off value for predicted disease probability value (P) was >0.357, CPSS was identified with 86.4% sensitivity (95%CI 72.6-94.8%) and 81.9% specificity (95%CI 72.0-89.5%). This predictive model might allow prediction of CPSS and early intervention.</p>","PeriodicalId":14159,"journal":{"name":"International Journal of Neonatal Screening","volume":"11 3","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12372138/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Neonatal Screening","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/ijns11030061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

Congenital portosystemic shunts (CPSSs) are often associated with life-threatening systemic complications, which may be detected by identifying hypergalactosemia in newborn screening (NBS). However, diagnosing CPSS at an early stage is not easy. The purpose of this study was to predict CPSS early using screening values and general blood tests. The medical records of 153 patients with hypergalactosemia who underwent NBS in Saitama Prefecture between 1 December 1997 and 31 October 2023 were retrospectively analyzed. We provided the final diagnosis of the analyzed patients. Of the 153 patients, 44 (29%) were in the CPSS group and 83 (54%) were in the transient galactosemia group. Using the initial screening items and the six blood test items, we attempted to extract a CPSS group from the transient galactosemia group. Finally, a model for CPSS prediction was established. From multiple logistic regression analysis, filtered blood galactose-1 phosphate/galactose, serum total bile acid, and ammonia were adopted as explanatory variables for the prediction model. If the cut-off value for predicted disease probability value (P) was >0.357, CPSS was identified with 86.4% sensitivity (95%CI 72.6-94.8%) and 81.9% specificity (95%CI 72.0-89.5%). This predictive model might allow prediction of CPSS and early intervention.

Abstract Image

Abstract Image

Abstract Image

利用Gal-1- p /Gal比值、胆汁酸和氨预测新生儿高半乳糖血症的先天性门系统分流。
先天性门系统分流(cpss)通常与危及生命的全身并发症相关,这可以通过新生儿筛查(NBS)中识别高半乳糖血症来检测。然而,在早期诊断CPSS并不容易。本研究的目的是通过筛查值和一般血液检查来早期预测CPSS。回顾性分析1997年12月1日至2023年10月31日在埼玉县接受NBS治疗的153例高半乳糖血症患者的医疗记录。我们提供了分析患者的最终诊断。153例患者中,CPSS组44例(29%),短暂性半乳糖血症组83例(54%)。利用初始筛选项目和6项血液检测项目,我们试图从短暂性半乳糖血症组中提取一个CPSS组。最后,建立了CPSS预测模型。通过多元logistic回归分析,采用过滤血半乳糖-1磷酸/半乳糖、血清总胆汁酸、氨作为预测模型的解释变量。如果预测疾病概率值(P)的临界值为>0.357,则CPSS的敏感性为86.4% (95%CI 72.6 ~ 94.8%),特异性为81.9% (95%CI 72.0 ~ 89.5%)。该预测模型可用于CPSS的预测和早期干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
International Journal of Neonatal Screening
International Journal of Neonatal Screening Medicine-Pediatrics, Perinatology and Child Health
CiteScore
6.70
自引率
20.00%
发文量
56
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信