A prognostic model based on integrated clinical indicators for recurrent acute pancreatitis in patients with hypertriglyceridemia: a retrospective cohort study.

IF 6.9 2区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Junyan An, Gaoyuan Zhang, Xinling Zhou
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引用次数: 0

Abstract

Background: Recurrence after a first episode of hypertriglyceridemia-induced acute pancreatitis (HTG-AP) remains common, whereas admission-time prediction models are still limited. We aimed to identify independent predictors of 3-year recurrence and develop a practical nomogram for early risk assessment.

Methods: We retrospectively analyzed consecutive patients with first-episode HTG-AP admitted between January 2019 and January 2023. Clinical variables, laboratory indices obtained within 24 h of admission, and CT-derived skeletal muscle density (SMD) were collected. All patients had at least 3 years of potential follow-up. Candidate variables were screened using least absolute shrinkage and selection operator regression, followed by multivariable logistic regression to identify independent predictors of recurrence. A nomogram was constructed and evaluated by receiver operating characteristic (ROC) analysis, calibration, bootstrap validation, and decision curve analysis (DCA). Sensitivity analyses included ln(CRP + 1) adjustment and Fine-Gray regression.

Results: A total of 278 patients were included in the primary logistic regression cohort, of whom 82 (29.5%) developed recurrence within 3 years. Higher triglyceride-glucose (TyG) index (OR 5.027, 95% CI 2.599-9.723, P < 0.001) and smoking history (OR 2.358, 95% CI 1.149-4.838, P = 0.019) were independent risk factors, whereas higher SMD (OR 0.868, 95% CI 0.821-0.917, P < 0.001) and albumin (OR 0.866, 95% CI 0.801-0.936, P < 0.001) were protective factors. The nomogram showed good discrimination, with an AUC of 0.896, and remained stable after bootstrap validation (AUC 0.891). Calibration, DCA, CRP-adjusted analysis, and Fine-Gray regression supported model performance and robustness.

Conclusions: A nomogram integrating TyG, SMD, albumin, and smoking history showed good performance for predicting 3-year recurrence after first-episode HTG-AP and may support early risk stratification and individualized follow-up.

基于综合临床指标的高甘油三酯血症患者复发性急性胰腺炎预后模型:一项回顾性队列研究
背景:高甘油三酯血症引起的急性胰腺炎(HTG-AP)首次发作后复发仍然很常见,而入院时间预测模型仍然有限。我们的目的是确定3年复发的独立预测因素,并制定一个实用的早期风险评估nomogram。方法:回顾性分析2019年1月至2023年1月期间入院的连续首发HTG-AP患者。收集临床变量、入院24 h内实验室指标、ct骨骼肌密度(SMD)。所有患者至少有3年的潜在随访。使用最小绝对收缩和选择算子回归筛选候选变量,然后使用多变量逻辑回归确定复发的独立预测因子。通过受试者工作特征(ROC)分析、校准、自举验证和决策曲线分析(DCA),构建nomogram并对其进行评价。敏感性分析包括ln(CRP + 1)调整和Fine-Gray回归。结果:主要logistic回归队列共纳入278例患者,其中82例(29.5%)在3年内复发。较高的甘油三酯-葡萄糖(TyG)指数(OR 5.027, 95% CI 2.599-9.723, P)结论:综合TyG、SMD、白蛋白和吸烟史的nomogram预测首发HTG-AP术后3年复发的效果良好,可能支持早期风险分层和个体化随访。
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来源期刊
Lipids in Health and Disease
Lipids in Health and Disease 生物-生化与分子生物学
CiteScore
7.70
自引率
2.20%
发文量
122
审稿时长
3-8 weeks
期刊介绍: Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.
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