Validation and Extension of the Prolonged Mechanical Ventilation Prognostic Model (ProVent) Score for Predicting 1-Year Mortality after Prolonged Mechanical Ventilation

被引:14
|
作者
Udeh, Chiedozie I. [1 ]
Hadder, Brent [3 ]
Udeh, Belinda L. [2 ]
机构
[1] Cleveland Clin, Cardiovasc Intens Care Unit, Dept Cardiothorac Anesthesiol, Cleveland, OH 44106 USA
[2] Cleveland Clin, Dept Outcomes Res, Cleveland, OH 44106 USA
[3] Univ Iowa Hosp & Clin, Dept Anesthesia, Iowa City, IA 52242 USA
关键词
critical care; decision support techniques; respiration; artificial; validation studies;
D O I
10.1513/AnnalsATS.201504-200OC
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Rationale: Prognostic models can inform management decisions for patients requiring prolonged mechanical ventilation. The Prolonged Mechanical Ventilation Prognostic model (ProVent) score was developed to predict 1-year mortality in these patients. External evaluation of such models is needed before they are adopted for routine use. Objectives: The goal was to perform an independent external validation of the modified ProVent score and assess for spectrum extension at 14 days of mechanical ventilation. Methods: This was a retrospective cohort analysis of patients who received prolonged mechanical ventilation at the University of Iowa Hospitals. Patients who received 14 or more days of mechanical ventilation were identified from a database. Manual review of their medical records was performed to abstract relevant data including the four model variables at Days 14 and 21 of mechanical ventilation. Vital status at 1 year was checked in the medical records or the social security death index. Logistic regressions examined the associations between the different variables and mortality. Model performance at 14 to 20 days and 211 days was assessed for discrimination by calculating the area under the receiver operating characteristic curve, and calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test. Measurements and Main Results: Atotal of 180 patients (21 + d) and 218 patients (14-20 d) were included. Overall, 75% were surgical patients. One-yearmortality was 51% for 21 + days and 32% for 14 to 20 days of mechanical ventilation. Age greater than 65 years was the strongest predictor of mortality at 1 year in all cohorts. There was no significant difference between predicted and observed mortality rates for patients stratified by ProVent score. There was near-perfect specificity for mortality in the groups with higher ProVent scores. Areas under the curvewere 0.69 and 0.75 for the 21+ days and the 14 to 20 days cohorts respectively. P values for the Hosmer-Lemeshow statistics were 0.24 for 21+ days and 0.22 for 14 to 20 days. Conclusions: The modified ProVent model was accurate in our cohort. This supports its geographic and temporal generalizability. It can also accurately identify patients at risk of 1-year mortality at Day 14 of mechanical ventilation, but additional confirmation is required. Further studies should explore the implications of adopting the model into routine use.
引用
收藏
页码:1845 / 1851
页数:7
相关论文
共 50 条
  • [1] Validation of the Prognosis for Prolonged Ventilation (ProVent) score in patients receiving 14 days of mechanical ventilation
    Kim, Won-Young
    Jo, Eun-Jung
    Eom, Jung Seop
    Mok, Jeongha
    Kim, Mi-Hyun
    Kim, Ki Uk
    Park, Hye-Kyung
    Lee, Min Ki
    Lee, Kwangha
    [J]. JOURNAL OF CRITICAL CARE, 2018, 44 : 249 - 254
  • [2] One-year mortality in patients requiring prolonged mechanical ventilation: multicenter evaluation of the ProVent score
    Guillaume Leroy
    Patrick Devos
    Fabien Lambiotte
    Didier Thévenin
    Olivier Leroy
    [J]. Critical Care, 18
  • [3] One-year mortality in patients requiring prolonged mechanical ventilation: multicenter evaluation of the ProVent score
    Leroy, Guillaume
    Devos, Patrick
    Lambiotte, Fabien
    Thevenin, Didier
    Leroy, Olivier
    [J]. CRITICAL CARE, 2014, 18 (04):
  • [4] 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
    [J]. RESPIROLOGY, 2019, 24 (02) : 179 - 185
  • [5] External validation of the ProVent score for prognostication of 1-year mortality of critically ill patients with prolonged mechanical ventilation: a single-centre, retrospective observational study in Austria
    Dibiasi, Christoph
    Kimberger, Oliver
    Bologheanu, Razvan
    Staudinger, Thomas
    Heinz, Gottfried
    Zauner, Christian
    Sengolge, Gurkan
    Schaden, Eva
    [J]. BMJ OPEN, 2022, 12 (09):
  • [6] Clinical model for predicting prolonged mechanical ventilation
    Clark, Paul A.
    Lettieri, Christopher J.
    [J]. JOURNAL OF CRITICAL CARE, 2013, 28 (05) : 880.e1 - 880.e7
  • [7] A prognostic model for one-year mortality in patients requiring prolonged mechanical ventilation
    Carson, Shannon S.
    Garrett, Joanne
    Hanson, Laura C.
    Lanier, Joyce
    Govert, Joe
    Brake, Mary C.
    Landucci, Dante L.
    Cox, Christopher E.
    Carey, Timothy S.
    [J]. CRITICAL CARE MEDICINE, 2008, 36 (07) : 2061 - 2069
  • [8] Objective rather than subjective evaluation of prognosis in patients on prolonged mechanical ventilation: The ProVent score
    Khan, Gul
    Spradley, Christopher
    Arroliga, Alejandro C.
    [J]. CRITICAL CARE MEDICINE, 2008, 36 (07) : 2200 - 2201
  • [9] Association between Medical Costs and the ProVent Model in Patients Requiring Prolonged Mechanical Ventilation
    Roh, Jiyeon
    Shin, Myung-Jun
    Jeong, Eun Suk
    Lee, Kwangha
    [J]. TUBERCULOSIS AND RESPIRATORY DISEASES, 2019, 82 (02) : 166 - 172
  • [10] Original Development and Validation of a Predictive Score for Prolonged Mechanical Ventilation After Cardiac Surgery
    Michaud, Ludovic
    Dureau, Pauline
    Kerleroux, Basile
    Charfeddine, Ahmed
    Regan, Mary
    Constantin, Jean-Michel
    Leprince, Pascal
    Bougle, Adrien
    [J]. JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA, 2022, 36 (03) : 825 - 832