Prediction modelling in the early detection of neonatal sepsis

作     者：Puspita Sahu Elstin Anbu Raj Stanly Leslie Edward Simon Lewis Krishnananda Prabhu Mahadev Rao Vijayanarayana Kunhikatta Puspita Sahu;Elstin Anbu Raj Stanly;Leslie Edward Simon Lewis;Krishnananda Prabhu;Mahadev Rao;Vijayanarayana Kunhikatta

作者机构：Department of Pharmacy PracticeManipal College of Pharmaceutical SciencesManipal Academy of Higher Education(MAHE)Manipal 576104KarnatakaIndia Department of PaediatricsKasturba Medical CollegeManipal Academy of Higher Education(MAHE)ManipalKarnatakaIndia 576104 Department of BiochemistryKasturba Medical CollegeManipal Academy of Higher Education(MAHE)ManipalKarnatakaIndia 576104 

出 版 物：《World Journal of Pediatrics》 (世界儿科杂志（英文版）)

年 卷 期：2022年第18卷第3期

页      面：160-175页

核心收录：

学科分类：1002[医学-临床医学] 100202[医学-儿科学] 10[医学] 

基　　金：Indian Council of Medical Research  ICMR 

主　　题：Neonatal sepsis Predictors Prediction modelling Systematic review Validation 

摘      要：Background Prediction modelling can greatly assist the health-care professionals in the management of diseases,thus sparking interest in neonatal sepsis *** main objective of the study was to provide a complete picture of performance of prediction models for early detection of neonatal *** PubMed,Scopus,CINAHL databases were searched and articles which used various prediction modelling measures for the early detection of neonatal sepsis were *** extraction was carried out based on Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies *** data consisted of objective,study design,patient characteristics,type of statistical model,predictors,outcome,sample size and *** model Risk of Bias Assessment Tool was applied to gauge the risk of bias of the *** An aggregate of ten studies were included in the review among which eight studies had applied logistic regression to build a prediction model,while the remaining two had applied artificial *** predictors like neonatal fever,birth weight,foetal morbidity and gender,cervicovaginitis and maternal age were identified for the early detection of neonatal ***,birth weight,endotracheal intubation,thyroid hypofunction and umbilical venous catheter were promising factors for predicting late-onset sepsis;while gestational age,intrapartum temperature and antibiotics treatment were utilised as budding prognosticators for early-onset sepsis *** Prediction modelling approaches were able to recognise promising maternal,neonatal and laboratory predictors in the rapid detection of early and late neonatal sepsis and thus,can be considered as a novel way for clinician decisionmaking towards the disease diagnosis if not used alone,in the years to come.