{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nelson RE"],"funding":["VA Health Services Research & Development"],"pagination":["e00462-18"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6201096"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["62(11)"],"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."],"journal":["Antimicrobial agents and chemotherapy"],"pubmed_title":["Attributable Cost and Length of Stay Associated with Nosocomial Gram-Negative Bacterial Cultures."],"pmcid":["PMC6201096"],"funding_grant_id":["IDEAS Center I50HX001240","VA CDA 11-215","IK2 HX000860-01A2"],"pubmed_authors":["Jones M","Samore MH","Nelson RE","Perencevich EN","Schweizer ML","Stevens VW","Rubin MA","Khader K"],"additional_accession":[]},"is_claimable":false,"name":"Attributable Cost and Length of Stay Associated with Nosocomial Gram-Negative Bacterial Cultures.","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.","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Nov","modification":"2024-10-15T11:34:21.622Z","creation":"2019-06-06T22:45:54Z"},"accession":"S-EPMC6201096","cross_references":{"pubmed":["30150480"],"doi":["10.1128/aac.00462-18","10.1128/AAC.00462-18"]}}