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Septicemia in Patients on Chronic Hemodialysis

DOBKIN, JAY F., MILLER, MICHAEL H., STEIGBIGEL, NEAL H.·1978·Annals of Internal Medicine

Abstract

Bacterial sepsis, a major complication of chronic hemodialysis, is due mainly to infections of the vascular access site despite increasing use of internal fistulas. Sixty episodes of septicemia occurred in two chronic dialysis centers, with an incidence of 0.15 episodes of significant bacteremia per patient-dialysis-year in each. Forty-four of the 60 episodes were judged to be due to vascular access site infection by clinical, bacteriologic, and histologic criteria. Seventy percent (31 of 44) of the vascular access site-related episodes were due to staphylococci and 25% (11 of 44) to Gram-negative bacilli; nonvascular access site-related episodes were often due to transplant site infections caused by Gram-negative bacilli or streptococci. Mortality was about 18% in both vascular access site-related and nonrelated septic episodes. Bovine heterograft arteriovenous fistulas more often led to sepsis than did Brescia arteriovenous fistulas. Treatment with appropriate antibiotics was successful in most cases. Routine removal or ligation of the vascular access site was not necessary.

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Metadata

Authors
DOBKIN, J. F., MILLER, M. H., & STEIGBIGEL, N. H.
Venue
Annals of Internal Medicine
Published
1978-01-01
Volume
88
Issue
1
Pages
28-33
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W2040776605
Cited by
191
References
0
FWCI
51.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Septicemia in Patients on Chronic Hemodialysis. https://app.cochat.ai/papers/10.7326/0003-4819-88-1-28
The paper
DOBKIN, J. F., MILLER, M. H., & STEIGBIGEL, N. H. (1978). Septicemia in Patients on Chronic Hemodialysis. Annals of Internal Medicine. https://doi.org/10.7326/0003-4819-88-1-28

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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.