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Multiplex PCR Assay for Typing of Staphylococcal Cassette Chromosome Mec Types I to V in Methicillin-resistant Staphylococcus aureus
Published on: September 5, 2013
Validity of ICD-9-CM coding for identifying incident methicillin-resistant Staphylococcus aureus (MRSA) infections:
Marin L Schweizer1, Michael R Eber, Ramanan Laxminarayan
1Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA. marin-schweizer@uiowa.edu
Background And Objective:
Investigators and medical decision makers frequently rely on administrative databases to assess methicillin-resistant Staphylococcus aureus (MRSA) infection rates and outcomes. The validity of this approach remains unclear. We sought to assess the validity of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code for infection with drug-resistant microorganisms (V09) for identifying culture-proven MRSA infection.
Design:
Retrospective cohort study.
Methods:
All adults admitted to 3 geographically distinct hospitals between January 1, 2001, and December 31, 2007, were assessed for presence of incident MRSA infection, defined as an MRSA-positive clinical culture obtained during the index hospitalization, and presence of the V09 ICD-9-CM code. The κ statistic was calculated to measure the agreement between presence of MRSA infection and assignment of the V09 code. Sensitivities, specificities, positive predictive values, and negative predictive values were calculated.
Results:
There were 466,819 patients discharged during the study period. Of the 4,506 discharged patients (1.0%) who had the V09 code assigned, 31% had an incident MRSA infection, 20% had prior history of MRSA colonization or infection but did not have an incident MRSA infection, and 49% had no record of MRSA infection during the index hospitalization or the previous hospitalization. The V09 code identified MRSA infection with a sensitivity of 24% (range, 21%-34%) and positive predictive value of 31% (range, 22%-53%). The agreement between assignment of the V09 code and presence of MRSA infection had a κ coefficient of 0.26 (95% confidence interval, 0.25-0.27).
Conclusions:
In its current state, the ICD-9-CM code V09 is not an accurate predictor of MRSA infection and should not be used to measure rates of MRSA infection.
Insights
The International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code V09 is not a reliable indicator for methicillin-resistant Staphylococcus aureus (MRSA) infections. This study found the code to be inaccurate for assessing MRSA infection rates.
Area of Science:
- Healthcare Informatics
- Infectious Disease Epidemiology
- Medical Coding Systems
Background:
- Administrative databases are crucial for tracking methicillin-resistant Staphylococcus aureus (MRSA) infection rates.
- The accuracy of using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes for this purpose is not well-established.
Purpose of the Study:
- To evaluate the validity of the ICD-9-CM code V09 (infection with drug-resistant microorganisms) in identifying culture-proven MRSA infections.
- To determine the accuracy of administrative data for MRSA surveillance.
Main Methods:
- A retrospective cohort study was conducted involving adults admitted to three hospitals from 2001 to 2007.
- MRSA infection was defined by a positive clinical culture during hospitalization.
- Agreement between MRSA infection and V09 code assignment was assessed using the κ statistic, sensitivity, specificity, and predictive values.
Main Results:
- Of 466,819 patients, 4,506 (1.0%) received the V09 code.
- Only 31% of patients with the V09 code had a confirmed incident MRSA infection.
- The V09 code demonstrated low sensitivity (24%) and a low positive predictive value (31%) for MRSA infection, with a κ coefficient of 0.26.
Conclusions:
- The current ICD-9-CM code V09 is an inaccurate predictor of MRSA infections.
- This code should not be utilized for measuring MRSA infection rates.
- Findings highlight the limitations of administrative data for precise infectious disease surveillance.
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