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A multi-analysis of nomogram model for the identification of banded adhesions and matted adhesions in adhesive small bowel obstruction

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European Journal of Trauma and Emergency Surgery Aims and scope Submit manuscript

Abstract

Background

Preoperative diagnosis of the cause of adhesive small bowel obstruction (ASBO) is very challenging for surgeons. We aimed to develop a nomogram model for the identification of banded adhesions (BA) and matted adhesions (MA) of ASBO.

Methods

This retrospective study enrolled patients with ASBO between January 2012 and December 2020, classified into BA and MA groups according to the intraoperative findings. A nomogram model was developed by using multivariable logistic regression analysis.

Results

A total of 199 patients were included, with 117 (58.8%) cases of BA and 82 (41.2%) cases of MA. There were 150 patients designed for training the model, and the other 49 cases for validation. Multivariate logistic regression analysis showed that prior surgery for once (p = 0.008), white blood cells (WBC) (p = 0.001), beak sign (p < 0.001), fat notch sign (p = 0.013), and mesenteric haziness (p = 0.005) were independently associated with BA. The AREA under the receiver operating characteristic curve (AUC-ROC) of the nomogram model in the training and validation sets were 0.861 (95% CI 0.802–0.921) and 0.884 (95% CI 0.789–0.980), respectively. The calibration plot demonstrated a good agreement. A decision curve analysis demonstrated that the nomogram model was clinically useful.

Conclusions

The multi-analysis of the nomogram model might have a favorable clinical applicability for the identification of BA and MA in patients with adhesive small bowel obstruction.

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Data availability

All relevant data are within the manuscript and its Supporting Information files.

Abbreviations

ASBO:

Adhesive small bowel obstruction

BA:

Banded adhesions

MA:

Matted adhesions

WBC:

White blood cells

NEU %:

Neutrophil %

CRP:

C-reactive protein

CT:

Computed tomography

ASA:

American society of anesthesiologists score

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Acknowledgements

We thank all the participants of this study and the nursing and department staff of Fujian Medical University Union Hospital.

Funding

The project was supported by the Natural Science Foundation of Fujian Province(grant numbers: 2022J01247 to Yong Wei); Education Department of Fujian Province Young and Middle-aged Teacher Education Research Project(grant numbers: JAT210109 to Yong Wei); Joint Funds for the Innovation of Science and Technology, Fujian province(grant numbers: 2018Y9054 to Xian-qiang Chen); Medical “creating double high” construction funds, Fujian Province (grant numbers: 2021No.76 to Xian-qiang Chen).

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Authors and Affiliations

Authors

Contributions

YW conceived the study, searched the literature and drafted the manuscript; TL and XS analyzed the data, made the tables and figures. XC reviewed the tables and figures and participated in revising the manuscript. BL helped to revise the manuscript critically for important intellectual content; MO helped to collect data and design the study; ZC and EZ analyzed CT scans and recorded the results. All authors participated in the final revision and agreed to the admission of this final version of the manuscript.

Corresponding author

Correspondence to Xianqiang Chen.

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Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

The study was conducted in accordance with the Declaration of Helsinki (in 1964). The study was approved by the Ethics Committee Board of Fujian Medical University Union Hospital (2022KY114). Considering the retrospective nature of the study, the Ethics Committee waived the requirement for patients’ informed consent.

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Wei, Y., Liao, T., Shangguan, X. et al. A multi-analysis of nomogram model for the identification of banded adhesions and matted adhesions in adhesive small bowel obstruction. Eur J Trauma Emerg Surg 49, 2277–2285 (2023). https://doi.org/10.1007/s00068-023-02270-4

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  • DOI: https://doi.org/10.1007/s00068-023-02270-4

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