The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Integrating Rapid Pathogen Identification and Antimicrobial Stewardship Significantly Decreases Hospital Costs
Abstract
Context .—Early diagnosis of gram-negative bloodstream infections, prompt identification of the infecting organism, and appropriate antibiotic therapy improve patient care outcomes and decrease health care expenditures. In an era of increasing antimicrobial resistance, methods to acquire and rapidly translate critical results into timely therapies for gram-negative bloodstream infections are needed. Objective .—To determine whether mass spectrometry technology coupled with antimicrobial stewardship provides a substantially improved alternative to conventional laboratory methods. Design .—An evidence-based intervention that integrated matrix-assisted laser desorption and ionization time-of-flight mass spectrometry, rapid antimicrobial susceptibility testing, and near–real-time antimicrobial stewardship practices was implemented. Outcomes in patients hospitalized prior to initiation of the study intervention were compared to those in patients treated after implementation. Differences in length of hospitalization and hospital costs were assessed in survivors. Results .—The mean hospital length of stay in the preintervention group survivors (n = 100) was 11.9 versus 9.3 days in the intervention group (n = 101; P = .01). After multivariate analysis, factors independently associated with decreased length of hospitalization included the intervention (hazard ratio, 1.38; 95% confidence interval, 1.01–1.88) and active therapy at 48 hours (hazard ratio, 2.9; confidence interval, 1.15–7.33). Mean hospital costs per patient were $45 709 in the preintervention group and $26 162 in the intervention group ( P = .009). Conclusions .—Integration of rapid identification and susceptibility techniques with antimicrobial stewardship significantly improved time to optimal therapy, and it decreased hospital length of stay and total costs. This innovative strategy has ramifications for other areas of patient care.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
APACHE II: A severity of disease classification system
KNAUS, W. A., DRAPER, E. A., WAGNER, D. P., & ZIMMERMAN, J. E. (1985) · Critical Care Medicine · doi:10.1097/00003246-198510000-00009 · Cited by 13,664
APACHE II-A Severity of Disease Classification System: Reply
Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1986) · Critical Care Medicine · doi:10.1097/00003246-198608000-00028 · Cited by 13,376
The epidemiology of sepsis in the United States from 1979 through 2000
Martin, G. S., Mannino, D. M., Eaton, S., & Moss, M. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022139 · Cited by 5,841
CDC definitions for nosocomial infections, 1988
Garner, J. S., Jarvis, W. R., Emori, T. G., Horan, T. C., & Hughes, J. M. (1988) · American Journal of Infection Control · doi:10.1016/0196-6553(88)90053-3 · Cited by 5,672
Bad Bugs, No Drugs: No ESKAPE! An Update from the Infectious Diseases Society of America
Boucher, H. W., Talbot, G. H., Bradley, J. S., Edwards, J. E., Gilbert, D., Rice, L. B., Scheld, M., Spellberg, B., & Bartlett, J. (2009) · Clinical Infectious Diseases · doi:10.1086/595011 · Cited by 4,958
CDC definitions for nosocomial infections
Yangco, B. G. (1989) · American Journal of Infection Control · doi:10.1016/s0196-6553(89)80013-6 · Cited by 3,770
Hidron, A. I., Edwards, J. R., Patel, J., Horan, T. C., Sievert, D. M., Pollock, D. A., Fridkin, S. K., & National Healthcare Safety Network Team and Participating National Healthcare Safety Network Facilities (2008) · Infection Control & Hospital Epidemiology · doi:10.1086/591861 · Cited by 3,724
Dellit, T. H., Owens, R. C., McGowan, J. E., Gerding, D. N., Weinstein, R. A., Burke, J. P., Huskins, W. C., Paterson, D. L., Fishman, N. O., Carpenter, C. F., et al. (2007) · Clinical Infectious Diseases · doi:10.1086/510393 · Cited by 3,362
Seng, P., Drancourt, M., Gouriet, F., La Scola, B., Fournier, P., Rolain, J. M., & Raoult, D. (2009) · Clinical Infectious Diseases · doi:10.1086/600885 · Cited by 1,983
Ibrahim, E. H., Sherman, G., Ward, S., Fraser, V. J., & Kollef, M. H. (2000) · Chest · doi:10.1378/chest.118.1.146 · Cited by 1,779
Cited by
Barlam, T. F., Cosgrove, S. E., Abbo, L. M., MacDougall, C., Schuetz, A. N., Septimus, E. J., Srinivasan, A., Dellit, T. H., Falck-Ytter, Y. T., Fishman, N. O., et al. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/ciw118 · Cited by 3,061
Banerjee, R., Teng, C. B., Cunningham, S. A., Ihde, S. M., Steckelberg, J. M., Moriarty, J. P., Shah, N. D., Mandrekar, J. N., & Patel, R. (2015) · Clinical Infectious Diseases · doi:10.1093/cid/civ447 · Cited by 570
Perez, K. K., Olsen, R. J., Musick, W. L., Cernoch, P. L., Davis, J. R., Peterson, L. E., & Musser, J. M. (2014) · Journal of Infection · doi:10.1016/j.jinf.2014.05.005 · Cited by 321
Self-citationEmerging Technologies for the Clinical Microbiology Laboratory
Buchan, B. W., & Ledeboer, N. A. (2014) · Clinical Microbiology Reviews · doi:10.1128/cmr.00003-14 · Cited by 297
Maurer, F. P., Christner, M., Hentschke, M., & Rohde, H. (2017) · Infectious Disease Reports · doi:10.4081/idr.2017.6839 · Cited by 169
Metadata
- Authors
- Perez, K. K., Olsen, R. J., Musick, W. L., Cernoch, P. L., Davis, J. R., Land, G. A., Peterson, L. E., & Musser, J. M.
- Venue
- Archives of Pathology and Laboratory Medicine
- Published
- 2013-09
- Volume
- 137
- Issue
- 9
- Pages
- 1247-1254
- ISSN
- 0003-9985 (ISSN-L)
- 1543-2165
- OpenAlex
- W2074903507
- Cited by
- 388
- References
- 37
- FWCI
- 16.88
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Integrating Rapid Pathogen Identification and Antimicrobial Stewardship Significantly Decreases Hospital Costs. https://app.cochat.ai/papers/10.5858/arpa.2012-0651-oa
- The paper
- Perez, K. K., Olsen, R. J., Musick, W. L., Cernoch, P. L., Davis, J. R., Land, G. A., Peterson, L. E., & Musser, J. M. (2013). Integrating Rapid Pathogen Identification and Antimicrobial Stewardship Significantly Decreases Hospital Costs. Archives of Pathology and Laboratory Medicine. https://doi.org/10.5858/arpa.2012-0651-oa
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
