Abstract:

Critical care medicine is a multidisciplinary and interprofessional specialty committed to the comprehensive management of patients with or at risk of developing acute，life-threatening organ dysfunction.Over the years，the field has faced the significant challenge of the heterogeneity of various critical syndromes，which has led to repeated setbacks in randomized controlled trials in the study of related diseases，making it difficult to identify effective treatments through population-based efficacy exploration.This review explores how the deep integration of multi-omics data and phenotypes has brought new opportunities for developing critical care medicine.This integration can reveal the molecular mechanisms and clinical characteristics of essential syndromes in an all-round and multi-dimensional manner，accurately identify the pathophysiological differences among different patient subgroups，and thus provide a solid and reliable basis for formulating individualized treatment plans.This not only effectively solves the problem of heterogeneity，but also significantly improves the therapeutic effects and prognosis，promoting the development model of the critical care medicine discipline to shift from the traditional population-based therapeutic effect exploration model to the individualized precision medical model.Looking to the future，critical care medicine will rely more on multi-omics technologies and big data analysis and is expected to achieve precise diagnosis and treatment management for critically ill patients，further improving the diagnostic and therapeutic level of critical care medicine and bringing more hope and blessings to critically ill patients.

Key words: Critical care medicine, Multi-omics data, Phenotypes, Heterogeneity, Microbiome