Weng Yiru, Dong Zhouzhou, Ye Gongjie, Shi Linhui, Liu Panpan, Zhou Tingting, Ye Honghua
The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, 315040, Zhejiang, P. R. China.
BMC Gastroenterol. 2025 Aug 18;25(1):592. doi: 10.1186/s12876-025-04198-y.
To Explore the correlation between Continuous Renal Replacement Therapy (CRRT) and the prognostic outcomes of patients with Severe Acute Pancreatitis (SAP); to analyze the impact of CRRT initiation time on the final prognosis of SAP patients; to evaluate factors affecting the therapeutic effect of CRRT in SAP patients without absolute indications for CRRT, and to develop a multi-factorial predictive model for the efficacy of CRRT in treating SAP.
This retrospective cohort study analyzed clinical data from SAP patients admitted to The Affiliated LiHuili Hospital of Ningbo University (2015-2024), collecting baseline characteristics (demographics, disease severity scores), CRRT parameters (initiation timing, laboratory values), and clinical outcomes. We stratified patients by prognosis and CRRT status, and performed subgroup analyses for CRRT-treated cases. After excluding patients with definitive CRRT indications, we randomly allocated cases to training (80%) and validation (20%) sets. Using logistic regression, we identified CRRT failure predictors, evaluated their predictive value via ROC analysis, and developed/validated a nomogram prediction model.
Among 563 initially screened SAP patients, 282 were included after exclusions. (1) Prognosis analysis revealed significant differences between improved and poor outcome groups in age, pancreatitis type, CRRT use, APACHE II and Marshall scores (all P < 0.05). Multivariate analysis identified CRRT as an independent protective factor and Marshall score as a risk factor. Compared to non-CRRT patients, CRRT-treated patients showed significantly shorter hospitalization and vasopressor duration (P < 0.05), with comparable costs. (2) In CRRT-treated patients (with/without absolute indications), earlier CRRT initiation (< 36 h) correlated with better outcomes (P < 0.05). Multivariate analysis confirmed CRRT initiation time as an independent prognostic factor (optimal cutoff: 36 h). (3) Among 114 CRRT-treated patients without absolute indications (91 in training set), significant differences existed in pancreatitis type, APACHE II, Marshall score, lactate, calcium, albumin, PT and PCT (P < 0.05). Multivariate analysis identified APACHE II, PCT and lactate as independent risk factors, and calcium/albumin as protective factors for CRRT failure. The combined model showed excellent predictive value (AUC = 0.912, 95%CI:0.841-0.982). The nomogram demonstrated good calibration in both training and test sets.
CRRT serves as an independent protective factor against poor outcomes (discharge against medical advice (death within 24 h post-discharge (against medical advice)) /death) in SAP patients, while simultaneously reducing hospitalization duration and vasopressor requirements without increasing financial burden. Early application (within 36 h) demonstrates greater therapeutic benefit. The developed nomogram prediction model, incorporating key prognostic factors, exhibits excellent clinical applicability and provides an objective basis for evaluating treatment timing in patients without strong CRRT indications.
探讨持续肾脏替代疗法(CRRT)与重症急性胰腺炎(SAP)患者预后结局之间的相关性;分析CRRT开始时间对SAP患者最终预后的影响;评估在无CRRT绝对指征的SAP患者中影响CRRT治疗效果的因素,并建立CRRT治疗SAP疗效的多因素预测模型。
本回顾性队列研究分析了宁波大学附属李惠利医院(2015 - 2024年)收治的SAP患者的临床资料,收集基线特征(人口统计学、疾病严重程度评分)、CRRT参数(开始时间、实验室值)和临床结局。我们根据预后和CRRT状态对患者进行分层,并对接受CRRT治疗的病例进行亚组分析。在排除有明确CRRT指征的患者后,我们将病例随机分配到训练集(80%)和验证集(20%)。使用逻辑回归,我们确定了CRRT失败的预测因素,通过ROC分析评估其预测价值,并建立/验证了列线图预测模型。
在最初筛查的563例SAP患者中,排除后纳入282例。(1)预后分析显示,好转组和不良结局组在年龄、胰腺炎类型、CRRT使用、APACHE II和Marshall评分方面存在显著差异(均P < 0.05)。多因素分析确定CRRT为独立保护因素,Marshall评分为危险因素。与未接受CRRT治疗的患者相比,接受CRRT治疗的患者住院时间和血管活性药物使用时间显著缩短(P < 0.05),费用相当。(2)在接受CRRT治疗的患者(有/无绝对指征)中,更早开始CRRT(< 36小时)与更好的结局相关(P < 0.05)。多因素分析证实CRRT开始时间为独立预后因素(最佳截断值:36小时)。(3)在114例无绝对指征接受CRRT治疗的患者中(训练集91例),胰腺炎类型、APACHE II、Marshall评分、乳酸、钙、白蛋白、PT和PCT存在显著差异(P < 0.05)。多因素分析确定APACHE II、PCT和乳酸为CRRT失败的独立危险因素,钙/白蛋白为保护因素。联合模型显示出优异的预测价值(AUC = 0.912,95%CI:0.841 - 0.982)。列线图在训练集和测试集中均显示出良好的校准。
CRRT是SAP患者不良结局(自动出院(出院后24小时内死亡(自动出院))/死亡)的独立保护因素,同时可缩短住院时间和减少血管活性药物需求,且不增加经济负担。早期应用(36小时内)显示出更大的治疗益处。所建立的列线图预测模型纳入了关键预后因素,具有优异的临床适用性,为评估无强烈CRRT指征患者的治疗时机提供了客观依据。