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• W3044891898 abstract "<h3>Importance</h3> Administrative databases may offer efficient clinical data collection for studying epidemiology, outcomes, and temporal trends in health care delivery. However, such data have seldom been validated against microbiological laboratory results. <h3>Objective</h3> To assess the validity of<i>International Classification of Diseases, Ninth Revision (ICD-9)</i>organism-specific administrative codes for pneumonia using microbiological data (test results for blood or respiratory culture, urinary antigen, or polymerase chain reaction) as the criterion standard. <h3>Design, Setting, and Participants</h3> Cross-sectional diagnostic accuracy study conducted between February 2017 and June 2019 using data from 178 US hospitals in the Premier Healthcare Database. Patients were aged 18 years or older admitted with pneumonia and discharged between July 1, 2010, and June 30, 2015. Data were analyzed from February 14, 2017, to June 27, 2019. <h3>Exposures</h3> Organism-specific pneumonia identified from<i>ICD-9</i>codes. <h3>Main Outcomes and Measures</h3> Sensitivity, specificity, positive predictive value, and negative predictive value of<i>ICD-9</i>codes using microbiological data as the criterion standard. <h3>Results</h3> Of 161 529 patients meeting inclusion criteria (mean [SD] age, 69.5 [16.2] years; 51.2% women), 35 759 (22.1%) had an identified pathogen.<i>ICD-9</i>–coded organisms and laboratory findings differed notably: for example,<i>ICD-9</i>codes identified only 14.2% and 17.3% of patients with laboratory-detected methicillin-sensitive<i>Staphylococcus aureus</i>and<i>Escherichia coli</i>, respectively. Although specificities and negative predictive values exceeded 95% for all codes, sensitivities ranged downward from 95.9% (95% CI, 95.3%-96.5%) for influenza virus to 14.0% (95% CI, 8.8%-20.8%) for parainfluenza virus, and positive predictive values ranged downward from 91.1% (95% CI, 89.5%-92.6%) for<i>Staphylococcus aureus</i>to 57.1% (95% CI, 39.4%-73.7%) for parainfluenza virus. <h3>Conclusions and Relevance</h3> In this study,<i>ICD-9</i>codes did not reliably capture pneumonia etiology identified by laboratory testing; because of the high specificities of<i>ICD-9</i>codes, however, administrative data may be useful in identifying risk factors for resistant organisms. The low sensitivities of the diagnosis codes may limit the validity of organism-specific pneumonia prevalence estimates derived from administrative data." @default.
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• W3044891898 date "2020-07-22" @default.
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• W3044891898 title "Assessment of the Accuracy of Using <i>ICD-9</i> Diagnosis Codes to Identify Pneumonia Etiology in Patients Hospitalized With Pneumonia" @default.
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• W3044891898 doi "https://doi.org/10.1001/jamanetworkopen.2020.7750" @default.
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