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A Semiquantitative Culture Method for Identifying Intravenous-Catheter-Related Infection

Maki, Dennis G., Weise, Carol E., Sarafin, Harold W.·1977·New England Journal of Medicine

Abstract

We evaluated a semiquantitative culture technic for identifying infection due to intravenous catheters: rolling the catheter segment across blood agar. This method was compared to broth culture. Of 250 catheters studied, 225 (90%) had low-density colonization on semiquantitative culture (less than 15 colonies on the plate) although 49 (19.6%) of these grew some organisms in broth or on the plate. None of these catheters led to septicemia. Twenty-five catheters (10%) grew greater than or equal to 15 colonies by the semiquantitative technic; most gave confluent growth. Septicemia originated from four of these catheters (P = 0.008). Of 37 catheters exposed to bacteremias from distant foci of infection, four yielded matching growth in broth, whereas none were concordant with the blood isolate on semiquantitative culture. Local inflammation was associated with high-density colonization semiquantitative culture (P less than 0.001). The semiquantitative technic distinguishes infection (greater than or equal to 15 colonies) from contamination and is more specific in diagnosis of catheter-related septicemia than culture of the catheter in broth.

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Metadata

Authors
Maki, D. G., Weise, C. E., & Sarafin, H. W.
Venue
New England Journal of Medicine
Published
1977-06-09
Volume
296
Issue
23
Pages
1305-1309
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2314608485
Cited by
2,027
References
0
FWCI
45.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Semiquantitative Culture Method for Identifying Intravenous-Catheter-Related Infection. https://app.cochat.ai/papers/10.1056/nejm197706092962301
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Maki, D. G., Weise, C. E., & Sarafin, H. W. (1977). A Semiquantitative Culture Method for Identifying Intravenous-Catheter-Related Infection. New England Journal of Medicine. https://doi.org/10.1056/nejm197706092962301

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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.