Evidence map›Paper›PMID 42215928›Full record

ArticleBMC pediatrics2026

Association between perioperative metabolic disorders and disease time course with pyloric morphological characteristics in infants with infantile hypertrophic pyloric stenosis.

Baohong Zhao, Bingliang Li, Hongxia Ren, Rao Cui

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Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Baohong Zhao *Department of Neonatal Surgery, Shanxi Province Children's Hospital, Taiyuan, China.
Bingliang Li *Department of Neonatal Surgery, Shanxi Province Children's Hospital, Taiyuan, China.
Hongxia RenDepartment of Neonatal Surgery, Shanxi Province Children's Hospital, Taiyuan, China.
Rao CuiDepartment of Neonatology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China. cuirao@sxbqeh.com.cn.

Funding

The Hospital-level Project of Shanxi Children's Hospital 2023002The Special Project for the Construction of a Comprehensive Prevention and Control System for Children's Birth Defects-Establishment of a Gastrointestinal Malformation Cohort JX122C2022011
6 · The paper itself

Abstract

objectiveTo identify risk factors for perioperative metabolic disorders in infants with infantile hypertrophic pyloric stenosis (IHPS) and examine their associations with disease time course and ultrasound-measured pyloric morphology.

methodsIn this retrospective cohort study, consecutive surgical IHPS patients (2019-2025) were included. Data on demographics, disease timeline (age at onset, age at surgery), and preoperative ultrasound parameters (pyloric muscle thickness, canal length) were collected. Univariate and multivariate logistic regression identified independent risk factors, and a decision tree prediction model was developed.

resultsAmong 323 infants, 43.7% had preoperative metabolic disorders. Multivariate analysis identified independent risk factors: age at surgery (per 1 week delay, aOR = 1.438), pyloric muscle thickness (per 1 mm increase, aOR = 1.408), pyloric canal length (per 1 mm increase, aOR = 1.614), and pyloric index (per 10-unit increase, aOR = 1.671). In the decision tree model, pyloric canal length showed the highest predictive importance (100%), with > 20.75 mm as the primary split point. The model achieved 87.9% accuracy and 90.1% sensitivity.

conclusionPerioperative metabolic disorders in IHPS reflect both obstruction duration and pyloric structural changes. Pyloric canal length is a potentially valuable imaging predictor. The preliminary threshold of > 20.75 mm may serve as a high-risk warning for metabolic disorders; combined with metabolic laboratory assessment, it could help optimize preoperative management and surgical timing.

Indexed as

Metabolic DiseasesPyloric Stenosis, HypertrophicPylorusDecision TreesFemaleHumansInfantInfant, NewbornMaleRetrospective StudiesRisk FactorsTime FactorsUltrasonographyInfantile hypertrophic pyloric stenosisMetabolic disorderPyloric canal lengthRisk factorUltrasound

Identifiers

PMID42215928
PMCPMC13430802

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.