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Modification of the prolonged mechanical ventilation prognostic model score to predict short-term and 1-year mortalities.
Park, Yu Rang; Lee, Ji Sung; Kim, Hwa Jung; Hong, Sang-Bum; Lim, Chae-Mann; Koh, Younsuck; Huh, Jin Won.
Afiliação
  • Park YR; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lee JS; Clinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Kim HJ; Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Hong SB; Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lim CM; Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Koh Y; Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Huh JW; Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Respirology ; 24(2): 179-185, 2019 02.
Article em En | MEDLINE | ID: mdl-30223306
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Respiração Artificial / Mortalidade / Doença Pulmonar Obstrutiva Crônica / Neoplasias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: Respirology Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Respiração Artificial / Mortalidade / Doença Pulmonar Obstrutiva Crônica / Neoplasias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: Respirology Ano de publicação: 2019 Tipo de documento: Article