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Modification of the prolonged mechanical ventilation prognostic model score to predict short-term and 1-year mortalities

Authors
 Yu Rang Park  ;  Ji Sung Lee  ;  Hwa Jung Kim  ;  Sang‐Bum Hong  ;  Chae‐Mann Lim  ;  Younsuck Koh  ;  Jin Won Huh 
Citation
 RESPIROLOGY, Vol.24(2) : 179-185, 2019 
Journal Title
RESPIROLOGY
ISSN
 1323-7799 
Issue Date
2019
Keywords
1-Yearmortality ; ProVentscore ; co-morbidity ; prolongedmechanicalventilation
Abstract
BACKGROUND AND OBJECTIVE:
We aimed to validate the use of the Prolonged Mechanical Ventilation Prognostic Model (ProVent) score in medically ill patients with co-morbidities and to modify the score to improve the prediction power of 1-year mortality.

METHODS:
We conducted a retrospective study of all patients who required at least 14 days of mechanical ventilation (MV) and established two groups (14-20 and ≥21 days of MV) based on the MV duration. We performed external validation of the present ProVent Model in our patients on Day 14 (or Day 21 for the ≥21-day MV group) of MV, and established the extended ProVent model, while considering the albumin and bilirubin levels and co-morbidities (chronic obstructive pulmonary disease and cancer).

RESULTS:
A total of 1288 patients (666 and 622 with 14-20 and ≥21 days of MV, respectively) with at least 14 days of MV were enrolled. The 1-year mortality was 79.9% and 78.7% in the ≥21- and 14-20-day groups, respectively. Most of the observed mortality rates in all groups were within the 95% CI of predicted mortality as per the ProVent Model, except for the ProVent scores of 0 and 5. In the ProVent model, the area under the curve for the prediction of 1-year mortality was 0.69 in all patients with ≥14 days of MV, whereas in the extended ProVent model, the area under the curve was 0.89.

CONCLUSION:
The extended ProVent model, which considers co-morbidities and laboratory data, increases the prediction power of 1-year mortality in patients who require prolonged MV.
Full Text
https://onlinelibrary.wiley.com/doi/full/10.1111/resp.13400
DOI
10.1111/resp.13400
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
Park, Yu Rang(박유랑) ORCID logo https://orcid.org/0000-0002-4210-2094
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/170258
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