Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-29T14:26:11.890Z Has data issue: false hasContentIssue false
  • English
  • Français

A Potential Cellular Explanation for the Increased Risk of Clostridium difficile Infection Due to Hypoalbuminemia: Reply Di Bella et al

Published online by Cambridge University Press:  12 October 2015

Ying P. Tabak ,
Richard S. Johannes  and
L. Clifford McDonald
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Letters to the Editor
Information
Infection Control & Hospital Epidemiology , Volume 36 , Issue 12 , December 2015 , pp. 1480
Copyright
© 2015 by The Society for Healthcare Epidemiology of America. All rights reserved 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1. Di Bella, S, di Masi, A, Turla, S, et al. The Protective Role of Albumin in Clostridium difficile Infection: A Step Toward Solving the Puzzle. Infect Control Hosp Epidemiol 2015; doi 10.1017/ice.2015.221.Google Scholar
2. Tabak, YP, Johannes, RS, Sun, X, Nunez, CM, McDonald, LC. Predicting the risk for hospital-onset Clostridium difficile infection (HO-CDI) at the time of inpatient admission: HO-CDI risk score. Infect Control Hosp Epidemiol 2015;36:695–701.Google Scholar
3. Khuri, SF, Daley, J, Henderson, W, et al. Risk adjustment of the postoperative mortality rate for the comparative assessment of the quality of surgical care: results of the National Veterans Affairs Surgical Risk Study. J Am Coll Surg 1997;185:315–327.Google Scholar
4. Tabak, YP, Sun, X, Derby, KG, Kurtz, SG, Johannes, RS. Development and validation of a disease-specific risk adjustment system using automated clinical data. Health Serv Res 2010;45:1815–1835.Google Scholar
5. Tabak, YP, Sun, X, Nunez, CM, Johannes, RS. Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS). J Am Med Inform Assoc 2014;21:455–463.Google Scholar