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利用Gal-1-P/半乳糖比值、胆汁酸和氨预测新生儿高半乳糖血症中的先天性门体分流。

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

作者信息

Suzuki-Ajihara Sayaka, Musha Ikuma, Arao Masato, Mori Koki, Fujibayashi Shunsuke, Ryo Ihiro, Kono Tomotaka, Tajima Asako, Mochizuki Hiroshi, Imai-Okazaki Atsuko, Araki Ryuichiro, Numakura Chikahiko, Ohtake Akira

机构信息

Department of Pediatrics, Saitama Medical University, Saitama 350-0495, Japan.

Department of Clinical Genomics, Saitama Medical University, Saitama 350-0495, Japan.

出版信息

Int J Neonatal Screen. 2025 Aug 7;11(3):61. doi: 10.3390/ijns11030061.

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.

摘要

先天性门体分流(CPSS)常伴有危及生命的全身并发症,这些并发症可通过新生儿筛查(NBS)中高半乳糖血症的检测来发现。然而,早期诊断CPSS并不容易。本研究的目的是利用筛查值和常规血液检查早期预测CPSS。回顾性分析了1997年12月1日至2023年10月31日期间在埼玉县接受NBS的153例高半乳糖血症患者的病历。我们给出了分析患者的最终诊断。在这153例患者中,44例(29%)属于CPSS组,83例(54%)属于短暂性半乳糖血症组。利用初始筛查项目和六项血液检查项目,我们试图从短暂性半乳糖血症组中提取出CPSS组。最后,建立了CPSS预测模型。通过多元逻辑回归分析,筛选出血液中半乳糖-1-磷酸/半乳糖、血清总胆汁酸和氨作为预测模型的解释变量。如果预测疾病概率值(P)的截断值>0.357,则CPSS的识别灵敏度为86.4%(95%CI 72.6-94.8%),特异度为81.9%(95%CI 72.0-89.5%)。这种预测模型可能有助于CPSS的预测和早期干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bf2/12372138/beb455173f83/IJNS-11-00061-g001.jpg

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