title: Risk factors for ARDS in patients receiving mechanical ventilation for > 48 h.
abstract: BACKGROUND
  Low tidal volume (Vt) ventilation for ARDS is a well-accepted concept. However, controversy persists regarding the optimal ventilator settings for patients without ARDS receiving mechanical ventilation. This study tested the hypothesis that ventilator settings influence the development of new ARDS.
  
  
  METHODS
  Retrospective analysis of patients from the Multi Parameter Intelligent Monitoring of Intensive Care-II project database who received mechanical ventilation for > or = 48 h between 2001 and 2005.
  
  
  RESULTS
  A total of 2,583 patients required > 48 h of ventilation. Of 789 patients who did not have ARDS at hospital admission, ARDS developed in 152 patients (19%). Univariate analysis revealed high peak inspiratory pressure (odds ratio [OR], 1.53 per SD; 95% confidence interval [CI], 1.28 to 1.84), increasing positive end-expiratory pressure (OR, 1.35 per SD; 95% CI, 1.15 to 1.58), and Vt (OR, 1.36 per SD; 95% CI, 1.12 to 1.64) to be significant risk factors. Major nonventilator risk factors for ARDS included sepsis, low pH, elevated lactate, low albumin, transfusion of packed RBCs, transfusion of plasma, high net fluid balance, and low respiratory compliance. Multivariable logistic regression showed that peak pressure (OR, 1.31 per SD; 95% CI, 1.08 to 1.59), high net fluid balance (OR, 1.3 per SD; 95% CI, 1.09 to 1.56), transfusion of plasma (OR, 1.26 per SD; 95% CI, 1.07 to 1.49), sepsis (OR, 1.57; 95% CI, 1.00 to 2.45), and Vt (OR, 1.29 per SD; 95% CI, 1.02 to 1.52) were significantly associated with the development of ARDS.
  
  
  CONCLUSIONS
  The associations between the development of ARDS and clinical interventions, including high airway pressures, high Vt, positive fluid balance, and transfusion of blood products, suggests that ARDS may be a preventable complication in some cases.
authors.affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA.
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Jia
authors.forename: Atul
authors.initials: A
authors.lastname: Malhotra
authors.forename: Mohammed
authors.initials: M
authors.lastname: Saeed
authors.forename: Roger G
authors.initials: RG
authors.lastname: Mark
authors.forename: Daniel
authors.initials: D
authors.lastname: Talmor
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003422:Critical Care / Q000379:methods*; D003627:Data Interpretation, Statistical; D017707:Erythrocyte Transfusion / Q000009:adverse effects; D005260:Female; D006801:Humans; D006863:Hydrogen-Ion Concentration; D007773:Lactates / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D012121:Respiration, Artificial / Q000009:adverse effects*; D012128:Respiratory Distress Syndrome / Q000209:etiology* / Q000378:metabolism; D012189:Retrospective Studies; D012307:Risk Factors; D018805:Sepsis / Q000150:complications; D065227:Transfusion Reaction
chemical_list: D007773:Lactates