已发表论文

腹型过敏性紫癜腹痛持续时间的预测因素及列线图模型构建:220 例回顾性研究

 

Authors Huang H, Chen X, Pan Y, Zhang Y, Yu R , Chen A

Received 8 July 2025

Accepted for publication 9 November 2025

Published 19 November 2025 Volume 2025:18 Pages 16123—16134

DOI https://doi.org/10.2147/JIR.S549824

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Shouya Feng

Hong Huang, Xin Chen, Yun Pan, Yichi Zhang, Rentao Yu, Aijun Chen

Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China

Correspondence: Aijun Chen, Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Youyi Road, Chongqing, CN 4000000, People’s Republic of China, Email chenaijun@hospital.cqmu.edu.cn Rentao Yu, Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Youyi Road, Chongqing, CN 4000000, People’s Republic of China, Email rentaoyu@hotmail.com

Objective: Our study aims to identify risk factors that predict an abnormally prolonged duration of abdominal pain relief (DAPR) in patients with abdominal Henoch–Schönlein purpura (A-HSP) and to construct a nomogram for early prediction.
Methods: We reviewed data of all patients (n = 375) with confirmed A-HSP from the Chongqing Medical University platform, from 22 January 2011 to 18 November 2022. After applying rigorous inclusion and exclusion criteria, 220 patients were ultimately enrolled. We split them into two groups by the DAPR: < 1 week and ≥ 1 week. Multivariate relogit regression was performed to select factors associated with DAPR lasting ≥ 1 week, including demographics, symptoms, laboratory results, and treatment. We then constructed a nomogram to estimate risk probability and internally validated its performance via bootstrapping using discrimination, calibration, and clinical utility.
Results: There were 220 patients in the training. Multivariate relogit regression analysis demonstrated that age, initial onset, neutrophil-to-lymphocyte ratio (NLR), and bowel wall thickening were independent risk factors for DAPR ≥ 1 week. The Area Under the Curve (AUC) of the nomogram constructed based on the above factors was 0.849. Both the Calibration curve and Decision Curve Analysis (DCA) of the nomogram showed that the model exhibited good fitness.
Conclusion: The nomogram can effectively predict the prolonged duration of abdominal pain (≥ 1 week) in A-HSP patients, helping clinicians distinguish high-risk patients at an early stage and optimize treatment plans. However, external validation remains essential before clinical implementation.
Plain Language Summary: What is already known about this topic?Abdominal Henoch–Schönlein purpura (A-HSP) typically presents with abdominal pain. Persistent pain raises the risk of dangerous digestive problems, severe illness, or death, resulting in poorer short-term outcomes, particularly in adults.Persistent abdominal pain also raises the risk of kidney involvement. Monitoring pain duration can help in the early detection of kidney damage.We currently lack reliable tools to predict cases of abnormally prolonged abdominal pain for A-HSP patients.
What does this study add?Our study found that age, initial onset, bowel wall thickening, and elevated NLR blood levels were linked to abdominal pain lasting ≥ 1 week in A-HSP patients.A scoring tool based on these four factors could help doctors make early treatment decisions. However, it must first be tested in other patient groups before being used in practice.

Keywords: IgA vasculitis, allergic purpura, gastrointestinal involvement, predictive model, prognostic factors