新医学2024,Vol.55Issue(2) :117-121.DOI:10.3969/j.issn.0253-9802.2024.02.008

术前预后营养指数对大面积烧伤患者预后的影响

Effect of preoperative prognostic nutritional index on prognosis of patients with extensive burns

刘延新 陈华夏
新医学2024,Vol.55Issue(2) :117-121.DOI:10.3969/j.issn.0253-9802.2024.02.008

术前预后营养指数对大面积烧伤患者预后的影响

Effect of preoperative prognostic nutritional index on prognosis of patients with extensive burns

刘延新 1陈华夏1
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作者信息

  • 1. 250021 济南,山东第一医科大学附属省立医院烧伤整形外科
  • 折叠

摘要

目的 探讨术前预后营养指数(PNI)对大面积烧伤患者预后的预测价值及临床意义.方法 回顾性分析 56 例大面积烧伤患者的临床资料,并依据临床结局将其分为存活组(n = 37)与死亡组(n = 19);收集患者的基本信息及术前 1 d的相关实验室指标,使用公式计算PNI.PNI=血清白蛋白(g/L)+5×淋巴细胞(×109/L).比较 2组临床资料是否存在差异,采用单因素及多因素Logistic回归分析评价预后的影响因素;采用受试者操作特征(ROC)曲线分析术前PNI对大面积烧伤患者预后的预测价值.以术前PNI最佳截断值将患者分为高PNI组和低PNI组,采用Kaplan-Meier法绘制生存曲线,预测 2 组患者术后 90 d的存活率.结果 纳入研究的 56 例大面积烧伤患者中,术后90 d内死亡的患者为 19 例(33.93%).死亡组和存活组烧伤面积、淋巴细胞及术前PNI比较差异均有统计学意义(P均<0.05),死亡组的烧伤面积较大,淋巴细胞及术前PNI较低;2 组年龄、性别、CRP、白细胞、肌酐、血小板淋巴细胞比值、白蛋白水平及有无呼吸道损伤比较差异均无统计学意义(P均>0.05).单因素Logistic回归分析显示,大面积烧伤患者的烧伤面积、淋巴细胞及术前PNI是影响患者死亡的危险因素;多因素 Logistic 回归分析显示,大面积烧伤患者的烧伤面积及术前PNI是影响患者死亡的独立危险因素;术前PNI预测大面积烧伤患者死亡的最佳截断值为 34.45.PNI≤34.45 大面积烧伤患者的 90 d生存率明显低于PNI>34.45 患者.结论 术前PNI与大面积烧伤患者术后 90 d病死率相关.低PNI患者术后 90 d生存率低于高PNI患者.识别大面积烧伤患者术前PNI水平具有重要意义,可为选择最佳手术时机提供参考,以促进创面愈合、降低烧伤患者手术后的病死率.

Abstract

Objective To investigate the prognostic value and clinical significance of preoperative prognostic nutritional index(PNI)in patients with extensive burns.Methods Clinical data of 56 patients with extensive burns were retrospectively analyzed,and they were divided into the survival group(n = 37)and death group(n = 19)according to clinical outcomes.Baseline data and relevant laboratory indexes at preoperative 1 d were collected.PNI was calculated using the following equation:serum albumin level(g/L)+5×total lymphocyte count(×109/L).Clinical data were statistically compared between two groups.The influencing factors of clinical prognosis were identified by univariate and multivariate Logistic regression analyses.The predictive value of preoperative PNI for clinical prognosis of patients with extensive burns was evaluated by the ROC curve.The area under the ROC curve(AUC)represents the accuracy of prediction.All patients were divided into the high and low PNI groups according to the optimal cut-off value of preoperative PNI.The survival curve was drawn by Kaplan Meier method to predict the differences in 90-d survival rate between two groups.Results Among 56 patients,19(33.93%)died within postoperative 90 d.There were significant differences in burn area,lymphocyte count and preoperative PNI between the death and survival groups(all P<0.05).In the death group,burn area was larger,lymphocyte count and preoperative PNI were lower than those in the survival group.There were no significant differences in age,sex,CRP,white blood cell count,creatinine,PLR,albumin levels and the incidence of respiratory tract injury between two groups.Univariate Logistic regression analysis showed that burn area,lymphocyte count and preoperative PNI were the risk factors of death.Multivariate Logistic regression analysis indicated that burn area and preoperative PNI were the independent risk factors for death.The optimal cut-off value of preoperative PNI to predict death in patients with extensive burns was 34.45.The 90-d survival rate of patients with PNI≤34.45 was significantly lower than that of their counterparts with PNI>34.45.Conclusions Preoperative PNI is associated with 90-d death rate in patients with extensive burns.The 90-d survival rate of patients with low PNI is lower than that of those with high PNI.These findings indicate that it is of significance to identify preoperative PNI for patients with extensive burns,which can provide reference for selecting the optimal timing for surgery,accelerate wound healing and reduce the death rate of patients with extensive burns.

关键词

烧伤/预后营养指数/大面积烧伤/病死率/营养

Key words

Burn/Prognostic nutritional index/Extensive burn/Death rate/Nutrition

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基金项目

山东省自然科学基金面上项目(ZR2023MH061)

出版年

2024
新医学
中山大学

新医学

CSTPCD
影响因子:0.8
ISSN:0253-9802
参考文献量23
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