ArticleInfection control and hospital epidemiology2017
Which Comorbid Conditions Should We Be Analyzing as Risk Factors for Healthcare-Associated Infections?
Article in Infection control and hospital epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Demographic-based disparities in outcomes for adults with central line-associated bloodstream infections in the United States: a National Inpatient Sample database study (2016-2020).Frontiers in medicine · 2024Article
- Microbiological trends and mortality risk factors of central line-associated bloodstream infections in an academic medical center 2015-2020.Antimicrobial resistance and infection control · 2023Observational
- Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Electronically Available Comorbidities Should Be Used in Surgical Site Infection Risk Adjustment.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017Article
- The Effect of Adding Comorbidities to Current Centers for Disease Control and Prevention Central-Line-Associated Bloodstream Infection Risk-Adjustment Methodology.Infection control and hospital epidemiology · 2017Article
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Authors and funding
10 authors at 8 institutions in 1 country.
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Abstract
OBJECTIVE To determine which comorbid conditions are considered causally related to central-line associated bloodstream infection (CLABSI) and surgical-site infection (SSI) based on expert consensus. DESIGN Using the Delphi method, we administered an iterative, 2-round survey to 9 infectious disease and infection control experts from the United States. METHODS Based on our selection of components from the Charlson and Elixhauser comorbidity indices, 35 different comorbid conditions were rated from 1 (not at all related) to 5 (strongly related) by each expert separately for CLABSI and SSI, based on perceived relatedness to the outcome. To assign expert consensus on causal relatedness for each comorbid condition, all 3 of the following criteria had to be met at the end of the second round: (1) a majority (>50%) of experts rating the condition at 3 (somewhat related) or higher, (2) interquartile range (IQR)≤1, and (3) standard deviation (SD)≤1. RESULTS From round 1 to round 2, the IQR and SD, respectively, decreased for ratings of 21 of 35 (60%) and 33 of 35 (94%) comorbid conditions for CLABSI, and for 17 of 35 (49%) and 32 of 35 (91%) comorbid conditions for SSI, suggesting improvement in consensus among this group of experts. At the end of round 2, 13 of 35 (37%) and 17 of 35 (49%) comorbid conditions were perceived as causally related to CLABSI and SSI, respectively. CONCLUSIONS Our results have produced a list of comorbid conditions that should be analyzed as risk factors for and further explored for risk adjustment of CLABSI and SSI. Infect Control Hosp Epidemiol 2017;38:449-454.
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