Literature DB >> 27870228

Dialysate bacterial endotoxin as a prognostic indicator of peritoneal dialysis related peritonitis.

Cheuk-Chun Szeto1, Ka-Bik Lai1, Kai-Ming Chow1, Bonnie Ching-Ha Kwan1, Man-Ching Law1, Wing-Fai Pang1, Terry King-Wing Ma1, Chi-Bon Leung1, Philip Kam-Tao Li1.   

Abstract

Peritonitis is the major complication of peritoneal dialysis (PD). The aim of our present study is to explore the prognostic value of endotoxin level in PD effluent for the prediction of treatment failure in PD-related peritonitis. We studied 325 peritonitis episodes in 223 patients. PD effluent (PDE) was collected every 5 days for endotoxin level and leukocyte count. Patients were followed for relapsing or recurrent peritonitis. We found 20 episodes (6.2%) had primary treatment failure; 41 (12.6%) developed relapsing, 19 (5.8%) had recurrent, and 22 (6.8%) had repeat episodes. Endotoxin was detectable in the PDE of 19 episodes (24.4%) caused by Gram negative organisms, 4 episodes (6.8%) of mixed bacterial growth, and none of the culture negative episodes or those by Gram positive organisms. For episodes caused by Gram negative bacteria, a detectable endotoxin level in PDE on day 5 had a sensitivity and specificity of 66.7% and 83.3%, respectively, for predicting primary treatment failure. In contrast, PDE leukocyte count > 1000 per mm3 on day 5 had a sensitivity and specificity of 88.9% and 89.1%, respectively; the addition of PDE endotoxin assay did not improve the sensitivity or specificity. We conclude that detectable endotoxin in PDE 5 days after antibiotic therapy might predict primary treatment failure in peritonitis episodes caused by Gram negative organisms. However, the sensitivity and specificity of PDE endotoxin assay was inferior to PDE leukocyte count.
© 2016 Asian Pacific Society of Nephrology.

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Keywords:  infection; renal failure; survival

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Year:  2016        PMID: 27870228     DOI: 10.1111/nep.12828

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  4 in total

1.  [Development and validation of a prediction model for treatment failure in peritoneal dialysis-associated peritonitis patients: a multicenter study].

Authors:  L Meng; X Zhu; L Yang; X Li; S Cheng; S Guo; X Zhuang; H Zou; W Cui
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2022-04-20

2.  Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

Authors:  Jingjing Zhang; Ida M Friberg; Ann Kift-Morgan; Gita Parekh; Matt P Morgan; Anna Rita Liuzzi; Chan-Yu Lin; Kieron L Donovan; Chantal S Colmont; Peter H Morgan; Paul Davis; Ian Weeks; Donald J Fraser; Nicholas Topley; Matthias Eberl
Journal:  Kidney Int       Date:  2017-03-17       Impact factor: 10.612

3.  Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis.

Authors:  Peng He; Jin-Ping Hu; Huan Li; Xiu-Juan Tian; Li-Jie He; Shi-Ren Sun; Chen Huang
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

4.  Recent advances in novel diagnostic testing for peritoneal dialysis-related peritonitis.

Authors:  Winston Wing-Shing Fung; Philip Kam-Tao Li
Journal:  Kidney Res Clin Pract       Date:  2022-01-21
  4 in total

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