建立和验证基于临床参数/症状的新生儿败血症诊断和预后评估模型

IF 0.4 4区 医学 Q4 PEDIATRICS Iranian Journal of Pediatrics Pub Date : 2023-12-04 DOI:10.5812/ijp-138660
Ying Zhang, Cheng Zhang, Jianbo Shu, Fang Zhang
{"title":"建立和验证基于临床参数/症状的新生儿败血症诊断和预后评估模型","authors":"Ying Zhang, Cheng Zhang, Jianbo Shu, Fang Zhang","doi":"10.5812/ijp-138660","DOIUrl":null,"url":null,"abstract":"Background: We aimed to establish and validate diagnostic models for distinguishing bacterial/viral infections among sepsis neonates and also a model for prognostic evaluation. Methods: Training data sets (cohorts) of neonatal sepsis patients were derived retrospectively from 2017 to 2019, and the verifying sets were followed up from 2019 to 2021. The backward elimination method of logistic regression was used in identifying the optimum feature combination by adding all potential factors to the regression equation. Results: The current study established 3 models. For distinguishing bacterial sepsis patients and bacterial culture-negative patients, we found Y=1.930+0.105X1+0.891X2-1.389X3-0.774X4 (Y symbolizes the status of bacterial infectious sepsis, X1 is age increase, X2 is intra-amniotic infection (mother), X3 is vomiting sign, and X4 is cough sign). Similarly, for distinguishing bacterial infectious sepsis patients and bacterial/viral double-positive patients, we found Y=2.918+1.568X1+1.882X2-0.113X3-2.214X4-2.255X5-2.312X6 (Y means the bacterial/viral double-positive status, X1 is IL-6 increase, X2 means CRP increase, X3 means age increase, X4 means high fever sign, X5 is cyanotic sign, and X6 is HGB increase). For predicting hospital days as one of the prognoses, we found Y=-1.993+0.073X1+1.963X2+0.466X3-0.791X4-0.633X5 (Y means worse prognosis, which is hospital days longer than 7 days, X1 means age increase, X2 means intra-amniotic infection (mother), X3 is IL-6 increase, X4 is convulsion with unconsciousness, and X5 is cough sign). Then, the ROC curves of the models from the verifying cohort indicated that all of the 3 models had good performance among sepsis children. Conclusions: Two diagnostic models and one prognostic model were established for clinical reference from the current first-step analysis with excellent model performance, which could be suggested as new useful diagnostic tools and a therapeutic strategy guiding marker for neonatal sepsis in the future.","PeriodicalId":14593,"journal":{"name":"Iranian Journal of Pediatrics","volume":"9 9","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishment and Validation of Models Based on Clinical Parameters/Symptoms for Diagnostic and Prognostic Assessment of Neonatal Sepsis\",\"authors\":\"Ying Zhang, Cheng Zhang, Jianbo Shu, Fang Zhang\",\"doi\":\"10.5812/ijp-138660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: We aimed to establish and validate diagnostic models for distinguishing bacterial/viral infections among sepsis neonates and also a model for prognostic evaluation. Methods: Training data sets (cohorts) of neonatal sepsis patients were derived retrospectively from 2017 to 2019, and the verifying sets were followed up from 2019 to 2021. The backward elimination method of logistic regression was used in identifying the optimum feature combination by adding all potential factors to the regression equation. Results: The current study established 3 models. For distinguishing bacterial sepsis patients and bacterial culture-negative patients, we found Y=1.930+0.105X1+0.891X2-1.389X3-0.774X4 (Y symbolizes the status of bacterial infectious sepsis, X1 is age increase, X2 is intra-amniotic infection (mother), X3 is vomiting sign, and X4 is cough sign). Similarly, for distinguishing bacterial infectious sepsis patients and bacterial/viral double-positive patients, we found Y=2.918+1.568X1+1.882X2-0.113X3-2.214X4-2.255X5-2.312X6 (Y means the bacterial/viral double-positive status, X1 is IL-6 increase, X2 means CRP increase, X3 means age increase, X4 means high fever sign, X5 is cyanotic sign, and X6 is HGB increase). For predicting hospital days as one of the prognoses, we found Y=-1.993+0.073X1+1.963X2+0.466X3-0.791X4-0.633X5 (Y means worse prognosis, which is hospital days longer than 7 days, X1 means age increase, X2 means intra-amniotic infection (mother), X3 is IL-6 increase, X4 is convulsion with unconsciousness, and X5 is cough sign). Then, the ROC curves of the models from the verifying cohort indicated that all of the 3 models had good performance among sepsis children. Conclusions: Two diagnostic models and one prognostic model were established for clinical reference from the current first-step analysis with excellent model performance, which could be suggested as new useful diagnostic tools and a therapeutic strategy guiding marker for neonatal sepsis in the future.\",\"PeriodicalId\":14593,\"journal\":{\"name\":\"Iranian Journal of Pediatrics\",\"volume\":\"9 9\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2023-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iranian Journal of Pediatrics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5812/ijp-138660\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Pediatrics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5812/ijp-138660","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PEDIATRICS","Score":null,"Total":0}
引用次数: 0

摘要

背景:我们旨在建立和验证脓毒症新生儿中区分细菌/病毒感染的诊断模型以及预后评估模型。方法:回顾性获取2017 - 2019年新生儿脓毒症患者的训练数据集(队列),并对验证数据集进行2019 - 2021年的随访。采用logistic回归的逆向消去法,将所有潜在因素加入到回归方程中,确定最佳特征组合。结果:本研究建立了3个模型。为区分细菌性脓毒症患者与细菌培养阴性患者,我们发现Y=1.930+0.105X1+0.891X2-1.389X3-0.774X4 (Y表示细菌感染性脓毒症状态,X1表示年龄增加,X2表示羊膜内感染(母体),X3表示呕吐征,X4表示咳嗽征)。同样,对于区分细菌性感染性脓毒症患者和细菌/病毒双阳性患者,我们发现Y=2.918+1.568X1+1.882X2-0.113X3-2.214X4-2.255X5-2.312X6 (Y表示细菌/病毒双阳性,X1表示IL-6升高,X2表示CRP升高,X3表示年龄增加,X4表示高热征,X5表示紫绀征,X6表示HGB升高)。预测住院天数作为预后指标之一,我们发现Y=-1.993+0.073X1+1.963X2+0.466X3-0.791X4-0.633X5 (Y表示预后较差,住院天数大于7天,X1表示年龄增加,X2表示羊膜内感染(母体),X3表示IL-6升高,X4表示抽搐伴意识不清,X5表示咳嗽征)。然后,验证队列模型的ROC曲线显示,3种模型在脓毒症患儿中均有较好的表现。结论:通过目前的第一步分析,建立了2个诊断模型和1个预后模型供临床参考,模型性能良好,可作为今后新生儿脓毒症新的有用的诊断工具和治疗策略指导指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Establishment and Validation of Models Based on Clinical Parameters/Symptoms for Diagnostic and Prognostic Assessment of Neonatal Sepsis
Background: We aimed to establish and validate diagnostic models for distinguishing bacterial/viral infections among sepsis neonates and also a model for prognostic evaluation. Methods: Training data sets (cohorts) of neonatal sepsis patients were derived retrospectively from 2017 to 2019, and the verifying sets were followed up from 2019 to 2021. The backward elimination method of logistic regression was used in identifying the optimum feature combination by adding all potential factors to the regression equation. Results: The current study established 3 models. For distinguishing bacterial sepsis patients and bacterial culture-negative patients, we found Y=1.930+0.105X1+0.891X2-1.389X3-0.774X4 (Y symbolizes the status of bacterial infectious sepsis, X1 is age increase, X2 is intra-amniotic infection (mother), X3 is vomiting sign, and X4 is cough sign). Similarly, for distinguishing bacterial infectious sepsis patients and bacterial/viral double-positive patients, we found Y=2.918+1.568X1+1.882X2-0.113X3-2.214X4-2.255X5-2.312X6 (Y means the bacterial/viral double-positive status, X1 is IL-6 increase, X2 means CRP increase, X3 means age increase, X4 means high fever sign, X5 is cyanotic sign, and X6 is HGB increase). For predicting hospital days as one of the prognoses, we found Y=-1.993+0.073X1+1.963X2+0.466X3-0.791X4-0.633X5 (Y means worse prognosis, which is hospital days longer than 7 days, X1 means age increase, X2 means intra-amniotic infection (mother), X3 is IL-6 increase, X4 is convulsion with unconsciousness, and X5 is cough sign). Then, the ROC curves of the models from the verifying cohort indicated that all of the 3 models had good performance among sepsis children. Conclusions: Two diagnostic models and one prognostic model were established for clinical reference from the current first-step analysis with excellent model performance, which could be suggested as new useful diagnostic tools and a therapeutic strategy guiding marker for neonatal sepsis in the future.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
0.90
自引率
20.00%
发文量
75
审稿时长
6-12 weeks
期刊介绍: Iranian Journal of Pediatrics (Iran J Pediatr) is a peer-reviewed medical publication. The purpose of Iran J Pediatr is to increase knowledge, stimulate research in all fields of Pediatrics, and promote better management of pediatric patients. To achieve the goals, the journal publishes basic, biomedical, and clinical investigations on prevalent diseases relevant to pediatrics. The acceptance criteria for all papers are the quality and originality of the research and their significance to our readership. Except where otherwise stated, manuscripts are peer-reviewed by minimum three anonymous reviewers. The Editorial Board reserves the right to refuse any material for publication and advises that authors should retain copies of submitted manuscripts and correspondence as the material cannot be returned. Final acceptance or rejection rests with the Editors.
期刊最新文献
Meningitis Caused by the Rare Bacterium Elizabethkingia meningoseptica, in Only One Twin, Late Preterm Newborn, with Complications-Case Report Pediatric Cardiomyopathies from the Landscape of Inherited Metabolic Disorders in Southeastern Turkey Is the Early Postoperative Application of Fibrinolytic Agents Safe in Cases of Empyema? Microalbuminuria in Children with Type 1 Diabetes and Its Relationship with Body Mass Index, Hemoglobin A1c, and Age at Diabetes Onset The Relationship Between Attention Deficit-Hyperactivity Disorder and Kidney Disease in Children and Adolescents: An Emerging Area of Research
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1