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中国人民解放军陆军第七十一集团军医院烧伤整形科,江苏 徐州 221000
张盼,E-mail:2589458071@163.com
收稿:2025-01-09,
纸质出版:2025-10-25
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崔庆伟,张盼,庄梦梦等.大面积深度烧伤Meek植皮术后创面恢复迟缓的危险因素及其预测价值[J].局解手术学杂志,2025,34(10):881-885.
CUI Qing-wei,ZHANG Pan,ZHUANG Meng-meng,et al.Risk factors of delayed wound recovery after Meek skin grafting in patients with extensive deep burn and its predictive value[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2025,34(10):881-885.
崔庆伟,张盼,庄梦梦等.大面积深度烧伤Meek植皮术后创面恢复迟缓的危险因素及其预测价值[J].局解手术学杂志,2025,34(10):881-885. DOI: 10.11659/jjssx.01E025051.
CUI Qing-wei,ZHANG Pan,ZHUANG Meng-meng,et al.Risk factors of delayed wound recovery after Meek skin grafting in patients with extensive deep burn and its predictive value[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2025,34(10):881-885. DOI: 10.11659/jjssx.01E025051.
目的
2
分析大面积深度烧伤患者Meek植皮术后创面恢复迟缓的危险因素及其预测效能。
方法
2
选取2018年8月至2024年11月100例行Meek植皮术的大面积深度烧伤患者,依据创面愈合时间,将其分为正常组(
n
=79)和迟缓组(
n
=21)。收集所有患者临床资料,使用
Logistic
回归模型分析大面积深度烧伤患者Meek植皮术后创面恢复迟缓的影响因素,分别采用受试者工作特征(
ROC
)曲线以及
Hosmer
-
Lemeshow
拟合优度检验分析模型的效能。
结果
2
2组患者体质量指数、住院时间、烧伤指数、烧伤面积、供皮面积、术后换药次数、术后营养支持、术后疼痛评分、住院血糖水平比较,差异具有统计学意义(
P
<
0.05)。
Logistic
回归分析显示,烧伤指数高(
OR
=1.086,
β
=0.082)、烧伤面积大(
OR
=1.155,
β
=0.144)、术后换药次数少(
OR
=0.746,
β
=-0.293)、术后无营养支持(
OR
=6.439,
β
=1.862)、术后疼痛评分高(
OR
=4.483,
β
=1.500)、住院血糖水平高(
OR
=2.251,
β
=0.811)均是大面积深度烧伤患者Meek植皮术后创面恢复迟缓的影响因素(
P
<
0.05)。
ROC
曲线分析显示,上述6项影响因素联合预测术后创面恢复迟缓的
ROC
曲线下面积(
AUC
)为0.896,敏感度、特异度分别为88.00%、89.10%;
Hosmer
-
Lemeshow
检验结果显示,
χ
2
=10.641,
P
=0.223,说明该模型预测效能较高且具有一定的校准能力。
结论
2
烧伤指数高,烧伤面积大,术后换药次数少,术后无营养支持及术后疼痛评分、住院血糖水平高是导致大面积深度烧伤患者Meek植皮术后创面恢复迟缓的影响因素,通过上述因素构建的预测模型具备良好的预测能力,可为临床治疗提供参考。
Objective
2
To analyze the risk factors of delayed wound recovery after Meek skin grafting in patients with extensive deep burn and its predictive efficiency.
Methods
2
A total of 100 patients with extensive deep burn who underwent Meek skin grafting from August 2018 to November 2024 were selected,and they were divided into the normal group (
n
=79) and the delayed group (
n
=21) according to the wound healing time. The clinical data of all patients were collected,and the influencing factors of delayed wound recovery after Meek skin grafting in patients with extensive deep burn were analyzed by
Logistic
regression model,and the efficiency of the model was analyzed by the
receiver operating characteristic
(
ROC
) curve and the
Hosmer
-
Lemeshow
goodness-of-fit test,respectively.
Results
2
There were statistically significant differences in the body mass index,hospitalization time,burn index,burn area,donor skin area,number of postoperative dressing change,postoperative nutritional support,postoperative pain scores,and hospitalized blood glucose levels between the two groups (
P
<
0.05).
Logistic
regression analysis showed that high burn index (
OR
=1.086,
β
=0.082),large burn area (
OR
=1.155,
β
=0.144),fewer postoperative dressing change (
OR
=0.746,
β
=-0.293),lack of postoperative nutritional support (
OR
=6.439,
β
=1.86
2),high postoperative pain score (
OR
=4.483,
β
=1.500),and high level of hospitalized blood glucose (
OR
=2.251,
β
=0.811) were the influencing factors for delayed wound recovery after Meek skin grafting in patients with extensive deep burn (
P
<
0.05). The
ROC
curve revealed that the combined prediction of the above six influencing factors for delayed postoperative wound recovery had an
area under the
ROC
curve
(
AUC
) of 0.896,with a sensitivity and specificity of 88.00% and 89.10%,respectively; and the
Hosmer
-
Lemeshow
test result showed:
χ
2
=10.641,and
P
=0.223,indicating a high predictive efficacy and a certain calibration ability of the model.
Conclusion
2
The high burn index,large burn area,fewer postoperative dressing change,lack of postoperative nutritional support,high postoperative pain score and hospitalized blood glucose level were the influencing factors for delayed wound recovery after Meek skin grafting in patients with extensive deep burn,and the prediction model constructed by the above factors has good predictive ability,which can provide a reference for clinical treatment.
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