<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Nelson RE</submitter><funding>VA Health Services Research &amp;amp; Development</funding><pagination>e00462-18</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6201096</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>62(11)</volume><pubmed_abstract>Few studies have estimated the excess inpatient costs due to nosocomial cultures of Gram-negative bacteria (GNB), and those that do are often subject to time-dependent bias. Our objective was to generate estimates of the attributable costs of the underlying infections associated with nosocomial cultures by using a unique inpatient cost data set from the U.S. Department of Veterans Affairs that allowed us to reduce time-dependent bias. Our study included data from inpatient admissions between 1 October 2007 and 30 November 2010. Nosocomial GNB-positive cultures were defined as clinical cultures positive for Acinetobacter, Pseudomonas, or Enterobacteriaceae between 48 h after admission and discharge. Positive cultures were further classified by site and level of resistance. We conducted analyses using both a conventional approach and an approach aimed at reducing the impact of time-dependent bias. In both instances, we used multivariable generalized linear models to compare the inpatient costs and length of stay for patients with and without a nosocomial GNB culture. Of the 404,652 patients included in the conventional analysis, 12,356 had a nosocomial GNB-positive culture. The excess costs of nosocomial GNB-positive cultures were significant, regardless of specific pathogen, site, or resistance level. Estimates generated using the conventional analysis approach were 32.0% to 131.2% greater than those generated using the approach to reduce time-dependent bias. These results are important because they underscore the large financial burden attributable to these infections and provide a baseline that can be used to assess the impact of improvements in infection control.</pubmed_abstract><journal>Antimicrobial agents and chemotherapy</journal><pubmed_title>Attributable Cost and Length of Stay Associated with Nosocomial Gram-Negative Bacterial Cultures.</pubmed_title><pmcid>PMC6201096</pmcid><funding_grant_id>IDEAS Center I50HX001240</funding_grant_id><funding_grant_id>VA CDA 11-215</funding_grant_id><funding_grant_id>IK2 HX000860-01A2</funding_grant_id><pubmed_authors>Jones M</pubmed_authors><pubmed_authors>Samore MH</pubmed_authors><pubmed_authors>Nelson RE</pubmed_authors><pubmed_authors>Perencevich EN</pubmed_authors><pubmed_authors>Schweizer ML</pubmed_authors><pubmed_authors>Stevens VW</pubmed_authors><pubmed_authors>Rubin MA</pubmed_authors><pubmed_authors>Khader K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Attributable Cost and Length of Stay Associated with Nosocomial Gram-Negative Bacterial Cultures.</name><description>Few studies have estimated the excess inpatient costs due to nosocomial cultures of Gram-negative bacteria (GNB), and those that do are often subject to time-dependent bias. Our objective was to generate estimates of the attributable costs of the underlying infections associated with nosocomial cultures by using a unique inpatient cost data set from the U.S. Department of Veterans Affairs that allowed us to reduce time-dependent bias. Our study included data from inpatient admissions between 1 October 2007 and 30 November 2010. Nosocomial GNB-positive cultures were defined as clinical cultures positive for Acinetobacter, Pseudomonas, or Enterobacteriaceae between 48 h after admission and discharge. Positive cultures were further classified by site and level of resistance. We conducted analyses using both a conventional approach and an approach aimed at reducing the impact of time-dependent bias. In both instances, we used multivariable generalized linear models to compare the inpatient costs and length of stay for patients with and without a nosocomial GNB culture. Of the 404,652 patients included in the conventional analysis, 12,356 had a nosocomial GNB-positive culture. The excess costs of nosocomial GNB-positive cultures were significant, regardless of specific pathogen, site, or resistance level. Estimates generated using the conventional analysis approach were 32.0% to 131.2% greater than those generated using the approach to reduce time-dependent bias. These results are important because they underscore the large financial burden attributable to these infections and provide a baseline that can be used to assess the impact of improvements in infection control.</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Nov</publication><modification>2024-10-15T11:34:21.622Z</modification><creation>2019-06-06T22:45:54Z</creation></dates><accession>S-EPMC6201096</accession><cross_references><pubmed>30150480</pubmed><doi>10.1128/aac.00462-18</doi><doi>10.1128/AAC.00462-18</doi></cross_references></HashMap>