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Cited by 366

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Bacteriuria in the Catheterized Patient: What Quantitative Level of Bacteriuria is Relevant?

Stark, Randall P., Maki, Dennis G.·1984·New England Journal of Medicine

Abstract

We studied 110 catheterized patients to determine the concentration of microorganisms that would indicate infection in urine aspirated from an indwelling urethral catheter. High-level bacteriuria or candiduria (greater than 10(5) colony-forming units per milliliter) developed in 34 patients. However, low-level bacteriuria or candiduria (less than 10(5) organisms per milliliter), which developed in 41 patients, progressed to concentrations above 10(5) organisms per milliliter 96 per cent of the time (P less than 0.001), usually within three days of the initial culture showing growth, unless the patient received intercurrent suppressive antimicrobial therapy. We conclude that the urinary tract of catheterized patients is highly susceptible to infection once small numbers of microorganisms gain access and that a concentration considerably below 10(5) organisms per milliliter may be clinically and epidemiologically important in this setting.

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Metadata

Authors
Stark, R. P., & Maki, D. G.
Venue
New England Journal of Medicine
Published
1984-08-30
Volume
311
Issue
9
Pages
560-564
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2073321050
Cited by
366
References
20
FWCI
9.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bacteriuria in the Catheterized Patient: What Quantitative Level of Bacteriuria is Relevant? https://app.cochat.ai/papers/10.1056/nejm198408303110903
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Stark, R. P., & Maki, D. G. (1984). Bacteriuria in the Catheterized Patient: What Quantitative Level of Bacteriuria is Relevant? New England Journal of Medicine. https://doi.org/10.1056/nejm198408303110903

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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.