Advertisement
Advanced Search
To read this article in full, please review your options for gaining access at the bottom of the page.

To view the full text, please login as a subscribed user or purchase a subscription. Click here to view the full text on ScienceDirect.

Figures

Fig. 1

Receiver operating characteristic curve of COHb to predict the development of AMI.

Fig. 2

Kaplan-Meier curve analysis.

Abstract

Background

There are several studies evaluating the cardiac effects of carbon monoxide (CO) poisoning during the acute period; however, the number of studies evaluating the long-term cardiac effects is limited.

Objective

The present study aimed to evaluate the effects of blood carboxyhemoglobin (COHb) levels, elevated due to CO poisoning on the long-term development of acute myocardial infarction (AMI).

Methods

This cross-sectional cohort study included a total of 1013 consecutive patients who presented to the emergency department (ED) due to CO poisoning, between January 2005 and December 2007. The diagnosis of CO poisoning was made according to the medical history and a COHb level of greater than 5%. In terms of AMI development, the patients were followed up for an average of 56 months.

Results

At the end of follow-up, 100 (10%) of 1013 patients experienced AMI. Carboxyhemoglobin levels at the time of poisoning were higher among those who were diagnosed with AMI compared to those who were not (55% ± 6% vs 30% ± 7%; P < .001). Using a multivariate Cox proportional hazards model with forward stepwise method, age, COHb level, CO exposure time, and smoking remained associated with an increased risk of AMI after adjustment for the variables found to be statistically significant in a univariate analysis. According to a receiver operating characteristic curve analysis, the optimal cutoff value of COHb used to predict the development of AMI was found to be greater than 45%, with 98% sensitivity and 94.1% specificity.

Conclusion

In patients presenting to the ED with CO poisoning, COHb levels can be helpful for risk stratification in the long-term development of AMI.

To access this article, please choose from the options below

Log In


Forgot password?

Register

Create a new account

Purchase access to this article

Claim Access

If you are a current subscriber with Society Membership or an Account Number, claim your access now.

Subscribe to this title

Purchase a subscription to gain access to this and all other articles in this journal.

Institutional Access

Visit ScienceDirect to see if you have access via your institution.

Conflict of interests: None.

Related Articles

Searching for related articles..

Advertisement