首页|儿童肺炎链球菌感染致坏死性肺炎风险分析及列线图模型构建

儿童肺炎链球菌感染致坏死性肺炎风险分析及列线图模型构建

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目的 分析儿童肺炎链球感染致坏死性肺炎(SPNP)的危险因素,并依据所得危险因素构建列线图模型,评估其预测效能.方法 回顾性收集河南省儿童医院郑州儿童医院2022年3月至2023年3月收治的125例肺炎链球菌感染患儿临床资料,依据患儿是否继发坏死性肺炎(NP)分为未继发组和继发组.比较两组患儿临床一般资料及实验室相关指标差异,logistic多因素回归分析肺炎链球菌感染后继发NP的危险因素.采用R软件构建肺炎链球菌感染后继发NP的风险列线图模型,使用拟合优度和受试者工作特征(ROC)曲线评估该模型预测效能.结果 125例SP感染患儿中,43例患儿继发NP,NP发生率为34.40%(43/125).未继发组与继发组性别、年龄、体重指数(BMI)、住院时间、热峰值、白细胞(WBC)、血小板(PLT)及中性粒细胞(Neu)水平差异无统计学意义(P>0.05);两组发热时间、合并低氧血症、合并肺外并发症、合并低蛋白血症、C反应蛋白(CRP)及降钙素原(PCT)水平比较,差异有统计学意义(P<0.05).logistic多因素回归分析结果显示:发热时间、合并低氧血症、合并肺外并发症、合并低蛋白血症、CRP、PCT均为肺炎链球菌感染后继发NP的危险因素.基于上述危险因素构建的肺炎链球菌感染后继发NP的风险列线图模型C-index指数为0.847(95%CI:0.822~0.935),列线图模型预测效能较好.结论 发热时间、合并低氧血症、合并肺外并发症、合并低蛋白血症、CRP及PCT水平是儿童感染肺炎链球菌后继发NP的危险因素,基于以上危险因素构建的列线图模型预测SPNP发生风险的效能良好.
Risk Analysis and Nomogram Model Construction of Necrotizing Pneumonia Caused by Streptococcus Pneumoniae Infection in Children
Objective To analyze the risk factors for Streptococcus pneumoniae necrotizing pneumonia(SPNP)in children and construct a nomogram model based on the identified risk factors accompanied with evaluating its predictive efficacy.Methods Retrospective collection of clinical data from 125 children with Streptococcus pneumoniae infection admitted to Henan Children's Hospital Zhengzhou Children's Hospital from March 2022 to March 2023 was conducted.The children were divided into two groups based on whether they developed secondary necrotizing pneumonia(NP):a non-secondary group and a secondary group.The differences in general clinical data and relevant laboratory indicators between the two groups were compared.Logistic multivariate regression analysis was used to identify the risk factors for secondary NP following Streptococcus pneumoniae infection.R software was used to construct a risk nomogram model for secondary NP after Streptococcus pneumoniae infection,and the model's predictive efficacy was evaluated using goodness-of-fit and receiver operating characteristic(ROC)curves.Results Among 125 children with SP infection,43 had secondary NP,and the incidence of NP was 34.40%(43/125).There were no differences in gender,age,body mass index(BMI),length of hospital stay,peak heat,levels of white blood cells(WBC),platelets(PLT)and neutrophils(Neu)between the non-secondary group and the secondary group(P>0.05).There were differences in fever duration,hypoxemia,extrapulmonary complications,hypoproteinemia,C-reactive protein(CRP)and procalcitonin(PCT)levels between the two groups(P<0.05).Logistic regression analysis showed that fever duration,combined with hypoxemia,combined with extrapulmonary complications,combined with hypoproteinemia,CRP and PCT were all risk factors for secondary NP after Streptococcus pneumoniae infection.Based on the above risk factors,the C-index of the risk model of secondary NP after Streptococcus pneumoniae infection was 0.847(95%CI:0.822-0.935),and the prediction efficiency of the model was good.Conclusion Fever duration,concomitant hypoxemia,concomitant extrapulmonary complications,concomitant hypoproteinemia,CRP and PCT levels are risk factors for secondary NP in children following Streptococcus pneumoniae infection.The nomogram model constructed based on these risk factors has good predictive efficacy for assessing the risk of SPNP.

Streptococcus pneumoniaenecrotizing pneumoniarisk factornomogram modelpredictive effectiveness

申远方、李志、王芳

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河南省儿童医院郑州儿童医院感染性疾病科,河南郑州 450018

肺炎链球菌 坏死性肺炎 风险因素 列线图模型 预测效能

2024年度河南医学科技奖获奖项目

2024-YJ-148

2024

河南医学研究
河南省医学科学院

河南医学研究

影响因子:0.979
ISSN:1004-437X
年,卷(期):2024.33(18)
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