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肾脏病与透析肾移植杂志 ›› 2026, Vol. 35 ›› Issue (1): 22-26.DOI: 10.3969/j.issn.1006⁃298X.2026.01.004

• 论著 • 上一篇    下一篇

重度烧伤患者急性肾损伤病情进展影响因素分析

  

  • 出版日期:2026-02-27 发布日期:2026-02-27

Influencing factors for disease progression in severe burn patients with acute kidney injury

  • Online:2026-02-27 Published:2026-02-27

摘要: 目的:探讨影响重度烧伤患者继发急性肾损伤 (AKI) 病情进展危险因素并建立预测模型。 方法:回顾性分析厦门大学附属东南医院 2020—2024 年收治的 89 例重度烧伤继发 AKI 患者临床资料,根据 AKI 是否发生进展分为进展组(n=36)和无进展组(n=53),收集患者一般资料、烧伤情况、临床指标,采用多因素分析重度烧伤患者 AKI 病情进展影响因素。根据多因素分析结果建立风险预测模型,绘制受试者工作特征曲线 (ROC) 计算曲线下面积 (AUC), 评估预测效能。 结果:两组患者年龄、性别、烧伤原因、高血压、糖尿病等一般资料差异无统计学意义;进展组受伤至入院时间长于无进展组(P<0.05);进展组患者烧伤总面积、Ⅲ 度烧伤面积、连续性肾脏替代治疗(CRRT)启动时间、血清肌酐(SCr)、血尿素氮、胱抑素 C 高于无进展组(P<0.05),吸入性损伤和休克发生率高于无进展组(P<0.05)。Logistic 多因素分析发现,烧伤总面积(OR=3.735,95% CI 1.756~6.432)、休克(OR=3.110,95% CI 1.305~7.329)、CRRT 启动时间(OR=0.147,95% CI 0.031~0.703)、SCr(OR=5.085,95% CI 1.953~7.442)是 AKI 病情进展影响因素。根据多因素分析结果建立重度烧伤患者 AKI 病情进展预测模型为 Logit (P)=-68.536+0.855× 受伤至入院时间 (h)+1.317× 烧伤总面积 (%)+1.304× 吸入性损伤(否 = 0、是 = 1)+1.134× 休克(否 = 0、是 = 1)+0.724×Ⅲ 度烧伤面积 (%)-1.917×CRRT 启动时间 (h)+1.626×SCr (μmol/L)+1.121× 血尿素氮 (mmol/L)+1.266×CysC (mg/L)。ROC 分析该风险模型对重度烧伤患者 AKI 病情进展预测 AUC 为 0.973,灵敏度为 0.962,特异度为 0.899,绘制校准曲线并进行 Hosmer-Lemeshow 检验,χ²=7.648,P=0.349,95% CI 0.012~0.494。结论:重度烧伤继发 AKI 患者烧伤总面积、休克、CRRT 启动时间、SCr 是病情进展影响因素,对 AKI 病情进展具有较好的预测价值。

关键词: 重度烧伤, 并发症, 急性肾损伤, 预后, 治疗

Abstract: Objective:To investigate the influencing factors for the progression of acute kidney injury (AKI) in patients with severe burns complicated by AKI and to establish a predictive model. Methods:A retrospective analysis was conducted on the clinical data of 89 patients with severe burns complicated by AKI admitted to Dongnan Hospital of Xiamen University from 2020 to 2024. Patients were divided into the progression group (n=36) and non-progression group (n=53) based on whether AKI progressed. General patient information, burn characteristics, and clinical indicators were collected. Logistic multivariate analysis was used to identify factors influencing AKI progression. A risk prediction model was established based on multivariate results, and receiver operating characteristic (ROC) curves were plotted to calculate the area under the curve (AUC) for evaluating predictive efficacy. Results:No statistically significant difference was observed in general data such as age, gender, burn cause, hypertension, or diabetes between the two groups (P>0.05). The time from injury to admission was longer in the progression group than in the non-progression group (P<0.05). The progression group exhibited higher total burn area, full-thickness burn area, time to initiation of continuous renal replacement therapy (CRRT), serum creatinine, blood urea nitrogen, and cystatin C (Cys C) levels, as well as higher incidences of inhalation injury and shock (all P<0.05). Logistic multivariate analysis identified total burn area (OR=3.735, 95%CI 1.756-6.432), shock (OR=3.110, 95%CI 1.305-7.329), CRRT initiation time (OR=0.147, 95%CI 0.031-0.703), and serum creatinine (OR=5.085, 95%CI 1.953-7.442) as independent influencing factors. The predictive model was constructed as: Logit (P)=-68.536+0.855×Time from injury to admission (h)+1.317×Total burn surface area (TBSA, %)+1.304×Inhalation injury (0=No, 1=Yes)+1.134×Shock (0=No, 1=Yes)+0.724×Full-thickness burn area (%)-1.917×Time to initiation of CRRT(h)+1.626×Serum creatinine(μmol/L)+1.121×Blood urea nitrogen(BUN, mmol/L)+1.266×CysC (mg/L). The ROC curve analysis showed an AUC of 0.973, with a sensitivity of 0.962 and specificity of 0.899 for predicting AKI progression. Draw the calibration curve and perform the Hosmer-Lemeshow test, with χ²=7.648, P=0.349, and 95%CI 0.012-0.494. Conclusion:Total burn area, shock, CRRT initiation time, and serum creatinine are significant influencing factors for AKI progression in patients with severe burns complicated by AKI, demonstrating good predictive value for AKI progression.

Key words: severe burn, complications, acute kidney injury, prognosis, treatment