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Meta-Analysis
. 2012 Dec;256(6):894-901.
doi: 10.1097/SLA.0b013e31826cc8da.

Should perioperative supplemental oxygen be routinely recommended for surgery patients? A Bayesian meta-analysis

Lillian S Kao  1 , Stefanos G Millas, Claudia Pedroza, Jon E Tyson, Kevin P Lally
Affiliations
Meta-Analysis

Should perioperative supplemental oxygen be routinely recommended for surgery patients? A Bayesian meta-analysis

Lillian S Kao et al. Ann Surg. 2012 Dec.

Abstract

Objective: The purpose of this study is to use updated data and Bayesian methods to evaluate the effectiveness of hyperoxia to reduce surgical site infections (SSIs) and/or mortality in both colorectal and all surgery patients. Because few trials assessed potential harms of hyperoxia, hazards were not included.

Background: Use of hyperoxia to reduce SSIs is controversial. Three recent meta-analyses have had conflicting conclusions.

Methods: A systematic literature search and review were performed. Traditional fixed-effect and random-effect meta-analyses and Bayesian meta-analysis were performed to evaluate SSIs and mortality.

Results: Traditional meta-analysis yielded a relative risk of an SSI with hyperoxia among all surgery patients of 0.84 [95% confidence interval (CI): 0.73-0.97] and 0.84 (95% CI: 0.61-1.16) for the fixed-effect and random-effect models, respectively. The probabilities of any risk reduction in SSIs among all surgery patients were 77%, 81%, and 83% for skeptical, neutral, and enthusiastic priors. The subset analysis of colorectal surgery patients increased the probabilities to 86%, 89%, and 92%. The probabilities of at least a 10% reduction were 57%, 62%, and 68% for all surgery patients and 71%, 75%, and 80% among the colorectal surgery subset.

Conclusions: There is a moderately high probability of a benefit to hyperoxia in reducing SSIs in colorectal surgery patients; however, the magnitude of benefit is relatively small and might not exceed treatment hazards. Further studies should focus on generalizability to other patient populations or on treatment hazards and other outcomes.

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Figures

Figure 1
Figure 1
Results of search strategy
Figure 2
Figure 2
Funnel plot
Figure 3
Figure 3
(a) Fixed effect model of hyperoxia vs. normoxia on surgical site infections (SSIs) for colorectal surgery patients only and for all patients (b) Random effects model of hyperoxia vs. normoxia on SSIs.
Figure 3
Figure 3
(a) Fixed effect model of hyperoxia vs. normoxia on surgical site infections (SSIs) for colorectal surgery patients only and for all patients (b) Random effects model of hyperoxia vs. normoxia on SSIs.
Figure 4
Figure 4
(a) The probability of any benefit from hyperoxia on SSIs (RR<1, represented by the shaded area) using a neutral prior distribution. (b) The probability of at least a 10% reduction in SSIs from hyperoxia (RR<0.9, represented by the shaded area) using a neutral prior.
Figure 4
Figure 4
(a) The probability of any benefit from hyperoxia on SSIs (RR<1, represented by the shaded area) using a neutral prior distribution. (b) The probability of at least a 10% reduction in SSIs from hyperoxia (RR<0.9, represented by the shaded area) using a neutral prior.
See this image and copyright information in PMC

References

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