Scholarlink

Abstract <p>Necrotizing enterocolitis (NEC) reveals substantial heterogeneity in presentation and underlying mechanisms. Conventional diagnostic tools, especially radiographic criteria and Bell staging, fail to distinguish between biologically distinct forms of intestinal injury, leading to imprecise management and research practices. The continued search for universal biomarkers is hindered by a lack of NEC mechanistic clarity. This commentary discusses abandoning the monolithic “NEC” label in favor of a data-driven, cluster-based taxonomy that integrates clinical trajectories with multiomic analyses. Such a shift would enable mechanism-informed diagnoses, personalized interventions, and more meaningful clinical trials, ultimately improving care and outcomes for vulnerable neonatal patients.</p> Impact <p><UnorderedList Mark="Bullet"> <ItemContent> <p>NEC diagnosis lacks precision, leading to overtreatment and research confusion.</p> </ItemContent> <ItemContent> <p>Bell staging and biomarkers fail due to the heterogeneity of the diagnosis.</p> </ItemContent> <ItemContent> <p>Moving to data-driven, mechanism-based classification will enable targeted, effective care and better research outcomes.</p> </ItemContent> </UnorderedList></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

“Necrotizing enterocolitis”: a paradigm shift

  • 期刊论文

  • 发表日期：

    2026年7月18日

查看全文
  • Parvesh Mohan Garg,
  • Jeffrey Shenberger,
  • Camilia R. Martin,
  • Josef Neu

摘要

Abstract

Necrotizing enterocolitis (NEC) reveals substantial heterogeneity in presentation and underlying mechanisms. Conventional diagnostic tools, especially radiographic criteria and Bell staging, fail to distinguish between biologically distinct forms of intestinal injury, leading to imprecise management and research practices. The continued search for universal biomarkers is hindered by a lack of NEC mechanistic clarity. This commentary discusses abandoning the monolithic “NEC” label in favor of a data-driven, cluster-based taxonomy that integrates clinical trajectories with multiomic analyses. Such a shift would enable mechanism-informed diagnoses, personalized interventions, and more meaningful clinical trials, ultimately improving care and outcomes for vulnerable neonatal patients.

Impact

NEC diagnosis lacks precision, leading to overtreatment and research confusion.

Bell staging and biomarkers fail due to the heterogeneity of the diagnosis.

Moving to data-driven, mechanism-based classification will enable targeted, effective care and better research outcomes.