首页|肺癌根治术后肺部感染病原菌分布及其早期风险预测模型的构建

肺癌根治术后肺部感染病原菌分布及其早期风险预测模型的构建

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目的 研究肺癌根治术后肺部感染病原菌分布及其早期风险预测模型的构建.方法 选取72例肺癌患者作为研究对象.所有患者均接受肺癌根治术,根据患者术后肺部感染分为感染组(n=18)和未感染组(n=54).分析感染组患者肺部感染病原菌分布.对比2组患者临床资料,并运用多因素Logistics回归模型筛选出患者术后感染的独立危险因素,基于独立危险因素创建列线图预测模型,并对列线图的预测性和准确度进行验证.结果 72例患者出现了 18例肺部感染,感染率为25.00%.18例感染总共分离出35株病原菌,其中革兰阴性菌22株(62.85%),以铜绿假单胞菌、肺炎克雷伯菌和大肠埃希菌为主;革兰阳性菌9株(25.71%),以金色葡萄球菌和溶血性葡萄球菌为主;真菌4株(11.42%),以白色念珠菌为主.与未感染组患者相比,感染组患者年龄≥60岁、有吸烟史、术前FEV1≤80%、手术时间≥150 min、多叶切除以及术中出血量≥200 mL等占比更高(P<0.05);年龄、吸烟史、术前FEV1、手术时间、切除范围、术中出血量均是术后肺部感染的独立影响因素(P<0.05).列线图结果提示,年龄≥60岁为52分、有吸烟史为65分、术前FEV1≤80%为68分、手术时间≥150 min为49分、多叶切除为78分、术中出血量≥200 mL为70分,经验证,其模型预测风险的精准性及区分度较高.结论 肺癌根治术后肺部感染病原菌以革兰阴性菌为主.年龄、吸烟史、术前FEV1、手术时间、切除范围以及术中出血量均是患者术后肺部感染的影响因素,基于此创建的预测模型,区分度和准确度较高.
Distribution of Pathogenic Bacteria in Patients with Lung Infection after Radical Operation for Lung Cancer and Construction of Early Risk Prediction Model
Objective To analyze the distribution of pathogenic bacteria in patients with lung infection after radical op-eration for lung cancer,and to construct an early risk prediction model.Methods 72 patients with lung cancer underwent radical operation were enrolled,and patients were classified into 2 groups according to the postoperative presence or absence of postopera-tive lung infection,infection group(n=18)and non-infection group(n=54).Analyze the distribution of pulmonary infection pathogens in patients in the infection group.Compare the clinical data of 2 groups of patients,and use a multivariate logistic re-gression model to screen out independent risk factors for postoperative infection in patients.Create a column chart prediction mod-el based on independent risk factors,and verify the predictability and accuracy of the column chart.Results 72 patients had 18 cases of pulmonary infection,with an infection rate of 25.00%.A total of 35 strains of pathogenic bacteria were isolated from 18 infections,including 22 strains(62.85%)of Gram negative bacteria,mainly Pseudomonas aeruginosa,Klebsiella pneumoniae,and Escherichia coli;9 strains(25.71%)of Gram positive bacteria,mainly Staphylococcus aureus and Staphylococcus hemolyticus;There were 4 strains of fungi(11.42%),mainly Candida albicans.Compared with the uninfected group,the infected group had a higher proportion of patients with age ≥ 60 years,a history of smoking,preoperative FEV1 ≤80%,surgical time ≥150 minutes,multi lobectomy,and intraoperative bleeding ≥200 mL(P<0.05);Age,smoking history,preoperative FEV1,surgical time,resec-tion range,and intraoperative bleeding were all independent influencing factors for postoperative pulmonary infection(P<0.05);The column chart results indicated that age ≥60 years old was 52 points,smoking history was 65 points,preoperative FEV180%was 68 points,surgical time ≥150 minutes was 49 points,multi lobectomy was 78 points,and intraoperative bleeding ≥200 mL was 70 points.The accuracy and differentiation rate of predictive value of the mode was higher.Conclusion The pathogens of lung infection after radical resection for lung cancer are mainly Gram-negative bacteria,furthermore,age,smoking history,preoper-ative FEV1,duration of surgery,extent of resection,and intraoperative blood loss are influencing factors for postoperative lung in-fection,and the accuracy and differentiation rate of predictive value of the mode is higher.

Radical surgery for lung cancerLung infectionPathogen distributionRisk factorsPredictive model

程冬艳、程领、薄霞

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450000 郑州大学第一附属医院

肺癌根治术 肺部感染 病原菌分布 危险因素 预测模型

2024

实用癌症杂志
江西省肿瘤医院 江西省肿瘤研究所

实用癌症杂志

影响因子:1.241
ISSN:1001-5930
年,卷(期):2024.39(1)
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