Association between central venous pressure measurement and outcomes in critically ill patients with severe coma

Author:

Tong Xin,Feng Xin,Duan Chuanzhi,Liu Aihua

Abstract

Abstract Background The use of central venous pressure (CVP) measurements among (intensive care unit) ICU patients with severe coma has been questioned. This study aimed to investigate the application value of CVP in this population. Methods Data stored in the ICU Collaborative Research Database (eICU-CRD) and Medical Information Mart for Intensive Care III (MIMIC-III) database were reviewed. Critically ill patients with a Glasgow Coma Scale (GCS) score of 3–8 were included. The primary outcome was the in-hospital mortality rate. The statistical approaches used included multivariable Cox regression, propensity score matching (PSM), inverse probability treatment weighting (IPTW), stabilized IPTW, and restricted cubic splines (RCS) to ensure the robustness of our findings. Results In total, 7386 patients were included in the study. Early CVP measurement was independently associated with in-hospital mortality [hazard ratio, 0.63; p < 0.001] in patients with severe-to-moderate coma. This result was robust in the PSM, sIPTW, and IPTW cohorts. For all patients with CVP measurements, the RCS curves showed that the risk of in-hospital mortality increased as the initial CVP time was delayed. In addition, early CVP measurement was significantly associated with lower ICU mortality, 28-day mortality, and 365-day mortality and a significantly higher number of ventilator-free days. Conclusion Early CVP measurement could improve clinical outcomes in critically ill patients with severe coma

Funder

Natural Science Foundation of Hebei Province

Research and Promotion Program of Appropriate Techniques for Intervention of Chinese High-risk Stroke People

BTH Coordinated Development-Beijing Science and Technology Planning Project

Beijing Municipal Administration of Hospitals' Ascent Plan

Beijing Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

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