Early prediction cardiac arrest in intensive care units:the value of laboratory indicator trends
作者机构:Department of Emergency MedicineQilu HospitalShandong UniversityJinan 250012China Chest Pain CenterQilu HospitalShandong UniversityJinan 250012China Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineInstitute of Emergency and Critical Care Medicine of Shandong UniversityQilu HospitalShandong UniversityJinan 250012China Key Laboratory of Emergency and Critical Care Medicine of Shandong ProvinceKey Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong ProvinceShandong Provincial Engineering Laboratory for Emergency and Critical Care MedicineQilu HospitalShandong UniversityJinan 250012China Key Laboratory of Cardiovascular Remodeling and Function ResearchChinese Ministry of EducationChinese Ministry of Health and Chinese Academy of Medical Sciencesthe State and Shandong Province Joint Key Laboratory of Translational Cardiovascular MedicineQilu HospitalShandong UniversityJinan 250012China
出 版 物:《World Journal of Emergency Medicine》 (世界急诊医学杂志(英文))
年 卷 期:2025年第16卷第1期
页 面:67-70页
核心收录:
基 金:supported by grants from the Key R&D Program of Shandong Province (2021ZLGX02) the National Science Foundation of China (81901934, 82325031) the National Key R&D Program of China (2020YFC1512700, 2020YFC1512705, 2020YFC1512703) the Clinical Research Center of Shandong University (2020SDUCRCC025)
主 题:prediction signs arrest
摘 要:The incidence of in-hospital cardiac arrest (IHCA) has increased over the past decade,with more than half occurring in intensive care units (ICUs).^([1])ICU cardiac arrest (ICU-CA)presents unique challenges,with worse outcomes than those in monitored wards,highlighting the need for early detection and intervention.^([2])Up to 80%of patients exhibit signs of deterioration hours before IHCA.^([3])Although early warning scores based on vital signs are useful,their eff ectiveness in ICUs is limited due to abnormal physiological parameters.^([4])Laboratory markers,such as sodium,potassium,and lactate,are predictive of poor outcomes,^([5])but static measurements may not capture the patient’s *** in laboratory indicators,such as variability and extremes,may offer better predictive value.^([6])This study aimed to evaluate ICU-CA predictive factors,with a focus on vital signs and trends of laboratory indicators.