scholarly journals Noninvasive mechanical ventilation improves the immediate and long-term outcome of COPD patients with acute respiratory failure

1996 ◽  
Vol 9 (3) ◽  
pp. 422-430 ◽  
Author(s):  
M. Confalonieri ◽  
P. Parigi ◽  
A. Scartabellati ◽  
S. Aiolfi ◽  
S. Scorsetti ◽  
...  
2005 ◽  
Vol 71 (2) ◽  
pp. 123-127 ◽  
Author(s):  
Milo Engoren ◽  
Cynthia Arslanian-Engoren

Studies of tracheostomy for respiratory failure have suggested a poor prognosis, however, trauma patients may have a better outcome. Data from 113 trauma patients were retrospectively analyzed for comorbidities, laboratory values, and hospital course. Long-term survival was determined from the Social Security Death Index. Trauma patients were young, overwhelmingly male, relatively healthy, and frequently uninsured. Seventy-five per cent of trauma patients were liberated from mechanical ventilation by hospital discharge. Timing of tracheostomy had no effect on days of mechanical ventilation or hospital length of stay. Hospital survival was 98 per cent, and 3-year Kaplan-Meier survival was 80 per cent. Older age and higher admission creatinine levels were predictive of late death. Trauma patients who undergo tracheostomy are likely to survive and be liberated from mechanical ventilation.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Spyridon Fortis ◽  
Elizabeth R. Lusczek ◽  
Craig R. Weinert ◽  
Greg J. Beilman

We aimed to investigate whether metabolomic analysis can discriminate acute respiratory failure due to COPD exacerbation from respiratory failure due to heart failure and pneumonia. Since COPD exacerbation is often overdiagnosed, we focused on those COPD exacerbations that were severe enough to require noninvasive mechanical ventilation. We enrolled stable COPD subjects and patients with acute respiratory failure requiring noninvasive mechanical ventilation due to COPD, heart failure, and pneumonia. We excluded subjects with history of both COPD and heart failure and patients with obstructive sleep apnea and obstructive lung disease other than COPD. We performed metabolomics analysis using NMR. We constructed partial least squares discriminant analysis (PLS-DA) models to distinguish metabolic profiles. Serum (p=0.001, R2 = 0.397, Q2 = 0.058) and urine metabolic profiles (p<0.001, R2 = 0.419, Q2 = 0.142) were significantly different between the four diagnosis groups by PLS-DA. After excluding stable COPD patients, the metabolomes of the various respiratory failure groups did not cluster separately in serum (p=0.2, R2 = 0.631, Q2 = 0.246) or urine (p=0.065, R2 = 0.602, Q2 = −0.134). However, several metabolites in the serum were reduced in patients with COPD exacerbation and pneumonia. We did not find a metabolic profile unique to COPD exacerbation, but we were able to clearly and reliably distinguish stable COPD patients from patients with respiratory failure in both serum and urine.


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