Pharmacokinetics of Oral Ciprofloxacin in Continuous Cycling Peritoneal Dialysis
Bibliographic record
Abstract
BACKGROUND: In order to avoid aminoglycosides, the International Society for Peritoneal Dialysis recommends cefazolin and ceftazidime for empirical treatment of peritonitis. Ciprofloxacin covers relevant gram-negative pathogens without the resistance associated with ceftazidime. However, ciprofloxacin pharmacokinetic data in patients on continuous cycling peritoneal dialysis (CCPD) are lacking. OBJECTIVES: (1) To determine the pharmacokinetics of oral ciprofloxacin in CCPD patients, (2) to compare serum and dialysate ciprofloxacin concentrations with minimum inhibitory concentrations (MIC) of the gram-negative bacteria associated with peritonitis, and (3) to establish oral ciprofloxacin dosing guidelines for the empirical treatment of peritonitis in patients receiving CCPD. METHODS: Eligible CCPD patients received 2 doses of ciprofloxacin: 750 mg orally every 12 hours. Serial blood and end-of-dwell dialysate samples were collected during the first 12-hour interval; an end-of-dwell dialysate sample from the overnight dwell and a final blood sample were collected at the end of the second 12-hour interval. Ciprofloxacin concentrations were determined using a liquid chromatographic (HPLC)-fluorescence method. Pharmacokinetic calculations were completed assuming a one-compartment model. RESULTS: Eight patients completed the study. The pharmacokinetic parameters determined for ciprofloxacin were (mean +/- SEM) serum half-life 10.1 +/- 1.2 hours, maximum serum concentration 2.7 +/- 0.5 mg/L, time to maximum serum concentration 1.6 +/- 0.1 hours after the first dose, and peritoneal clearance 1.2% +/- 0.1% of the mean calculated total body clearance. While all patients achieved serum area under the concentration-time curve:MIC > 125 for Escherichia coli and Klebsiella species after the first dose, only 2 patients achieved this goal for Pseudomonas aeruginosa. End-of-dwell dialysate concentrations were above the MIC for E. coli, Klebsiella spp, and P. aeruginosa after the second dose. CONCLUSION: Ciprofloxacin 750 mg orally every 12 hours in CCPD patients may be useful for empirical gram-negative coverage of CCPD peritonitis and for treatment of documented peritonitis caused by sensitive E. coli or Klebsiella species. While ceftazidime may be required for documented pseudomonal peritonitis, the oral ciprofloxacin regimen achieved adequate serum concentrations to treat systemic gram-negative infections caused by sensitive E. coli or Klebsiella species.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".