Correction: Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model - Report - MDSpire

Correction: Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model

  • By

  • Hui Li

  • Jing Chen

  • Peijun Lin

  • Youmei Pan

  • Yawen Cao

  • Wenfeng Xie

  • July 9, 2026

  • 0 min

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Correction: Sepsis and Mortality Related to Enterocutaneous Fistulas

Background

Enterocutaneous fistulas (ECF) are serious complications that can arise from various medical conditions and surgical procedures. They are associated with significant morbidity and mortality, particularly due to the risk of sepsis.

Data Highlights

No numerical or trial data is presented in the correction notice.

Key Findings

  • The affiliation of the authors was revised and split into two separate affiliations.
  • The correction will be published alongside the original article on the JMIR Publications website.
  • The corrected article has been resubmitted to PubMed and other repositories.

Clinical Implications

The correction emphasizes the importance of accurate author affiliations in clinical research publications. Clinicians should remain aware of the evolving guidelines and predictive models related to sepsis and enterocutaneous fistulas.

Conclusion

This correction serves to clarify the authorship of the study on enterocutaneous fistula-associated sepsis and mortality, ensuring accurate representation in the literature.

Related Resources & Content

  1. JMIR Medical Informatics, 2026 -- Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model
  2. JMIR Medical Informatics — Online Sepsis Prediction Using Vital Signs and Multiscale Temporal-Aware Contrastive Learning: Model Development and Validation Study
  3. Frontiers in Medicine — Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis
  4. BMJ Health & Care Informatics — Early sepsis prediction using a hybrid LSTM-GAT model: a study on the PhysioNet 2019 dataset
  5. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock 2026
  6. Enterocutaneous Fistulas: Current Management | MDPI
  7. Somatostatin-based therapies for external gastrointestinal fistulas: Updated meta-analysis of randomized clinical trials

Original Source(s)

Correction: Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model

  • by Hui Li, Jing Chen, Peijun Lin, Youmei Pan, Yawen Cao, Wenfeng Xie

  • July 9, 2026

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