Literature DB >> 8513660

A randomized controlled trial of computerized pharmacokinetic theophylline dosing versus empiric physician dosing.

P R Casner1, R Reilly, H Ho.   

Abstract

This study was undertaken to determine if a computerized pharmacokinetic program for adjusting theophylline infusion rates could attain a goal serum theophylline level more accurately than physician-derived adjustments and what clinical impact this would have. Thirty-five patients with diagnoses of asthma or chronic obstructive pulmonary disease were randomized to a control group (empiric) or experimental group (kinetic) after initial theophylline levels were drawn from each group. After second levels were drawn, patients in the kinetic group had their infusion rates adjusted by the computerized pharmacokinetic program to achieve a level of 15 mg/L, whereas patients in the empiric group had their infusions adjusted empirically by the primary care physicians to achieve a serum theophylline level of 15 mg/L. A final theophylline level was obtained just before the infusion was discontinued. The kinetic group was closer to the goal level of 15 mg/L than the empiric group, but this was not statistically significant (14.8 +/- 4.4 versus 12.6 +/- 4.1; p > 0.05). The total number of days that patients were receiving intravenous theophylline was slightly longer for the kinetic group (4.1 +/- 3.3 versus 3.2 +/- 1.5; p > 0.05) as was the total number of hospital days, but neither of these were statistically significant (11.4 +/- 21.6 versus 8.8 +/- 15.4 days; p > 0.05). There were no differences between the two groups in the number of subtherapeutic or toxic levels, and there were no significant differences in arterial blood gas measurements.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8513660     DOI: 10.1038/clpt.1993.90

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  9 in total

1.  Computer support for determining drug dose: systematic review and meta-analysis.

Authors:  R Walton; S Dovey; E Harvey; N Freemantle
Journal:  BMJ       Date:  1999-04-10

2.  Information technology and medication safety: what is the benefit?

Authors:  R Kaushal; D W Bates
Journal:  Qual Saf Health Care       Date:  2002-09

3.  The medical office of the 21st century (MOXXI): effectiveness of computerized decision-making support in reducing inappropriate prescribing in primary care.

Authors:  Robyn Tamblyn; Allen Huang; Robert Perreault; André Jacques; Denis Roy; James Hanley; Peter McLeod; Réjean Laprise
Journal:  CMAJ       Date:  2003-09-16       Impact factor: 8.262

Review 4.  Therapeutic drug monitoring and patient outcome. A review of the issues.

Authors:  A L Tonkin; F Bochner
Journal:  Clin Pharmacokinet       Date:  1994-09       Impact factor: 6.447

Review 5.  Clinical pharmacokinetics in the 21st century. Does the evidence support definitive outcomes?

Authors:  M H Ensom; G A Davis; C D Cropp; R J Ensom
Journal:  Clin Pharmacokinet       Date:  1998-04       Impact factor: 6.447

Review 6.  Pharmacogenetics: the therapeutic drug monitoring of the future?

Authors:  M H Ensom; T K Chang; P Patel
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 5.577

Review 7.  Computerized clinical decision support systems for acute care management: a decision-maker-researcher partnership systematic review of effects on process of care and patient outcomes.

Authors:  Navdeep Sahota; Rob Lloyd; Anita Ramakrishna; Jean A Mackay; Jeanette C Prorok; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes
Journal:  Implement Sci       Date:  2011-08-03       Impact factor: 7.327

Review 8.  Computerized clinical decision support systems for therapeutic drug monitoring and dosing: a decision-maker-researcher partnership systematic review.

Authors:  Robby Nieuwlaat; Stuart J Connolly; Jean A Mackay; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes
Journal:  Implement Sci       Date:  2011-08-03       Impact factor: 7.327

Review 9.  Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990-2007).

Authors:  Sallie-Anne Pearson; Annette Moxey; Jane Robertson; Isla Hains; Margaret Williamson; James Reeve; David Newby
Journal:  BMC Health Serv Res       Date:  2009-08-28       Impact factor: 2.655

  9 in total

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