Correlation between serum albumin, prealbumin and ventilator dependence in patients with COPD
Objective: To investigate the correlation between the serum albumin, prealbumin and ventilator dependence in patients with COPD. Methods: Serum albumin and prealbumin of 44 COPD patients using breathing machine>48 h were tested at admission, 1 week, 2 weeks treatment. According to the existence...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Editorial Board of Journal of Hainan Medical University
2016-04-01
|
Series: | Journal of Hainan Medical University |
Subjects: | |
Online Access: | http://www.hnykdxxb.com/PDF/201608/24.pdf |
Summary: | Objective: To investigate the correlation between the serum albumin, prealbumin and ventilator dependence in patients with COPD. Methods: Serum albumin and prealbumin of 44 COPD
patients using breathing machine>48 h were tested at admission, 1 week, 2 weeks treatment. According to the existence of ventilator dependence, divided the patients into the ventilator
dependence group and the ventilator independence group, compare the albumin, prealbumin average of two groups, evaluate the correlation between the serum albumin, prealbumin and
ventilator dependence in patients with COPD. Results: Albumin levels reduced in both groups after 1 week treatment, but there was no statistically significant difference. Albumin levels reduced in both groups after 2 weeks treatment, but more significantly in the ventilator dependence group, the difference had statistical significance. Prealbumin levels in the ventilator independence group after 1 week treatment didn’t reduced, but reduced in the ventilator dependence group, the difference was statistically significant. Prealbumin levels reduced in both groups after 2 weeks treatment, but more significant in the ventilator dependence group, the difference had statistical significance. Conclusion: Serum albumin and prealbumin levels were correlation with the ventilator dependence in patients with COPD. But prealbumin can
more sensitively and more early predict the ventilator dependence in patients with COPD suffered from malnutrition. |
---|---|
ISSN: | 1007-1237 1007-1237 |