RESUMEN
Cardiac arrest is the fourth stage of sudden cardiac death, which is characterized by the cessation of electrical activity in the heart, rapid circulatory and respiratory failure, and the prognosis is often poor. How to effectively predict cardiac arrest is the key and difficult point in the diagnosis and treatment process. In recent years, the research on the application of early warning scoring system in cardiac arrest has made continuous breakthroughs, from initially formulating a traditional scoring system containing only basic vital signs indicators according to a certain number of samples to continuously increasing and changing indicators, increasing the sample size, and formulating an improved scoring system with better sensitivity and specificity. Nowadays, with the continuous development of electronic information technology, machine learning technology is introduced into the formulation of scoring system, which breaks through the limitations of previous scoring system and has achieved good results in clinic. This article analyzes and compares the relevant research and cutting-edge progress of different early warning scoring systems at home and abroad, and summarizes the research results, gaps and shortcomings. Finally, combined with the relevant policies of graded diagnosis and treatment in China, this paper discusses the development and application direction of cardiac arrest early warning scoring system in the future.
