Original Article
Clinical validation of the ProVent Score in patients on prolonged mechanical ventilation after surgery in intensive care unit
Yueming Sun, Shuangling Li, Shupeng Wang, Chen Li, Gang Li, Jiaxuan Xu, Hongzhi Wang, Fei Liu, Gaiqi Yao, Zhigang Chang, Yalin Liu, Meixia Shang, Dongxin Wang
Published 2019-05-15
Cite as Int J Anesth Resus, 2019, 40(5): 458-462. DOI: 10.3760/cma.j.issn.1673-4378.2019.05.009
Abstract
ObjectiveTo evaluate clinical application of the ProVent Score in patients requiring prolonged mechanical ventilation (PMV) after surgery in intensive care unit (ICU).
MethodsA total of 124 patients who required PMV after surgery in ICU in five tertiary-care hospitals in Beijing between January 2007 and June 2016 were enrolled into this multicenter, retrospective, cohort study. Data included age (50-64 years and ≥65 year), platelet count on the 21st day of mechanical ventilation, the use of vasoactive drugs and renal replacement therapy (currently or within 48 h) were collected. The predictive effect of the ProVent Score on 1-year mortality in patients requiring PMV in ICU after surgery was evaluated using receiver operating characteristic curve (ROC curve).
ResultsIn this study, 124 patients were enrolled, with a cumulative 1-year mortality of 74.2% (92/124). The ProVent Score can predict 1-year mortality in patients with PMV after surgery, with the area under curve (AUC) of 0.69 [95%CI 0.58-0.80, P=0.001]. Survival curves incorporating two classification of the ProVent Score (≤1 vs. ≥2) showed statistically significant differences (Log-rank test: P=0.018).
ConclusionsThe ProVent Score can be used to predict 1-year mortality in patients requiring PMV after surgery in ICU. Patients with the ProVent Score not less than 2 usually show poor prognosis.
Key words:
ProVent Score; Prolonged mechanical ventilation; Intensive care unit
Contributor Information
Yueming Sun
Department of Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
Shuangling Li
Department of Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
Shupeng Wang
Department of Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
Chen Li
Department of Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
Gang Li
Department of Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
Jiaxuan Xu
Department of Critical Care Medicine, Beijing Cancer Hospital, Beijing 100142, China
Hongzhi Wang
Department of Critical Care Medicine, Beijing Cancer Hospital, Beijing 100142, China
Fei Liu
Department of Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China
Gaiqi Yao
Department of Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China
Zhigang Chang
Department of Critical Care Medicine, Beijing Hospital, Beijing 100730, China
Yalin Liu
Department of Critical Care Medicine, Beijing Hospital, Beijing 100730, China
Meixia Shang
Department of Biostatistics, Peking University First Hospital, Beijing 100034, China
Dongxin Wang
Department of Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
