The impact of predictive nursing intervention based on modified early warning score on the prognosis of patients with acute myocardial infarction:a Meta-analysis
WANG Min
XU Jingjing
NIU Liqiao
LIU Mei
ZHENG Lina
WANG Chaohui
FENG Bingbing
ZHENG Jingang
Abstract：Objective To systematically evaluate the impact of predictive nursing intervention based on Modified Early Warning Score(MEWS)on the prognosis of patients with acute myocardial infarction(AMI).Methods PubMed,Embase,Web of Science,CNKI,Wanfang Data,and VIP Database were electronically searched to collect relevant randomized controlled trials(RCTs)on the effect of MEWS-based predictive nursing intervention in AMI patients published from inception to December 2024.Meta-analysis was performed using RevMan 5.3 software.Results A total of 25 RCTs involving 2,430 patients were included.The Meta-analysis results showed that the triage time,emergency rescue time,and length of hospital stay in the MEWS intervention group were all shortened compared with conventional nursing.The patients'heart rate,left ventricular ejection fraction,left ventricular end-systolic diameter,and left ventricular end-diastolic diameter improved significantly.The incidence of adverse events was low and nursing satisfaction was high,but no significant difference was observed between the two groups in terms of anxiety and depression indicators.Conclusion MEWS-based predictive nursing has clear advantages in improving cardiac function,clinical diagnostic and therapeutic indicators,incidence of adverse events,and nursing satisfaction in AMI patients.However,its effect on improving patients'psychological status is not significant.Future studies should focus on developing intelligent early warning systems integrated with biomarker monitoring and embedding psychological nursing modules into the MEWS framework to achieve precise intervention in both physical and psychological dimensions.
Keywords：Acute myocardial infarctionEarly warning scorePredictive NursingMeta-Analysis
Publication Date：2025-11-25
Online Publishing Date：2025-12-16(First online date of this platform, not the publication date of the document)
Pages：9( 1324-1332 )