Construction and validation of a nomogram for predicting survival in diabetic patients with severe acute pancreatitis: A retrospective study from a tertiary center.

IF 1.9 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY
Saudi Journal of Gastroenterology Pub Date : 2025-03-01 Epub Date: 2025-02-07 DOI:10.4103/sjg.sjg_178_24
Qingcheng Zhu, Dingyu Tan, Huihui Wang, Bingyu Ling, Runmin Zhao
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引用次数: 0

Abstract

Background: There is currently a lack of nomograms specifically designed for predicting the risk of death in diabetic patients with severe acute pancreatitis (SAP). The objective of this study was to develop a nomogram tailored to diabetic patients with SAP to predict overall survival.

Methods: Diabetic patients diagnosed with SAP between January 1, 2018 and December 31, 2023 were included in the study. Risk factors were identified through least absolute shrinkage and selection operator regression analysis. Subsequently, a novel nomogram model was developed through multivariable logistic regression analysis. The predictive performance of the nomogram was evaluated using metrics such as the receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).

Results: A total of 206 patients were included in the analysis, with 171 in the survival group and 35 in the deceased group. Multivariate logistic regression indicated that age, platelet, total bilirubin, and potassium were independent prognostic factors for the survival of diabetic patients with SAP. The nomogram demonstrated a performance comparable to sequential organ failure assessment ( P = 0.570). Additionally, the calibration curve showed satisfactory predictive accuracy, and the DCA highlighted the clinical application value of the nomogram.

Conclusion: We have identified key demographic and laboratory parameters that are associated with the survival of diabetic patients with SAP. These parameters have been utilized to create a precise and user-friendly nomogram, which could be an effective and valuable clinical tool for clinicians.

预测糖尿病合并严重急性胰腺炎患者生存的nomogram构建与验证:一项来自三级中心的回顾性研究。
背景:目前缺乏专门设计用于预测糖尿病合并严重急性胰腺炎(SAP)患者死亡风险的线图。本研究的目的是开发一种适合糖尿病SAP患者的nomogram预测总生存期。方法:纳入2018年1月1日至2023年12月31日期间诊断为SAP的糖尿病患者。通过最小绝对收缩和选择算子回归分析确定危险因素。随后,通过多变量logistic回归分析,建立了一种新的nomogram模型。使用诸如受者工作特征曲线、校准曲线和决策曲线分析(DCA)等指标来评估nomogram预测性能。结果:共纳入206例患者,其中生存组171例,死亡组35例。多因素logistic回归显示,年龄、血小板、总胆红素和钾是影响糖尿病合并SAP患者生存的独立预后因素。nomogram与序贯器官衰竭评估结果相当(P = 0.570)。校正曲线具有较好的预测精度,DCA突出了nomogram的临床应用价值。结论:我们已经确定了与糖尿病合并SAP患者生存相关的关键人口学和实验室参数。这些参数已被用于创建精确且用户友好的nomographic,这可能是临床医生有效和有价值的临床工具。
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来源期刊
Saudi Journal of Gastroenterology
Saudi Journal of Gastroenterology GASTROENTEROLOGY & HEPATOLOGY-
CiteScore
4.40
自引率
3.70%
发文量
63
审稿时长
28 weeks
期刊介绍: The Saudi Journal of Gastroenterology (SJG) is an open access peer-reviewed publication. Authors are invited to submit articles in the field of gastroenterology, hepatology and nutrition, with a wide spectrum of coverage including basic science, epidemiology, diagnostics, therapeutics, public health, and standards of health care in relation to the concerned specialty. Review articles are usually by invitation. However review articles of current interest and a high standard of scientific value could also be considered for publication.
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