ArticleLa Tunisie medicale
Acinetobacter lwoffi peritonitis in peritoneal dialysis: two cases report.
Article in La Tunisie medicale. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed, 1 citations in OpenAlex.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peritonitis is an important cause of morbidity and technique failure in peritoneal dialysis. Herein, we report peritonitis related to Acinetobacter lwoffi in two patients on peritoneal dialysis. The first case is a 63-year-old patient treated by automated peritoneal dialysis admitted with abdominal pain. The peritoneal effluent White Blood Cells count consisted of 280 cells/mm3. Then culture identified a multisensitive Acinetobacter lwoffi. Treatment with ceftazidime and ciprofloxacin had been started. The control dialysate culture was sterile after three weeks. The second patient is a 59-year-old female admitted because of diffuse abdominal pain and cloudy dialysate. The peritoneal effluent White Blood Cells count consisted of countless leukocytes, with predominantly polynuclear and culture identified Acinetobacter lwoffi. He received intraperitoneal ceftazidim and amikacin for three weeks. The control dialysate was sterile. Acinetobacter lwoffi is a rare cause of peritonitis and it can be treated successfully with early recognition and appropriate antibiotic therapy based on culture instead of catheter removal.
Indexed as
Identifiers
36206068PMC9615012W4303497069What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.