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Biomedical subjects

J A Karboski

Publications and source records attributed to J A Karboski.

6 recordsLinked to original sources
PubMed1992

Profuse diarrhea after misoprostol use in a patient with a history of Crohn's disease.

OBJECTIVE: To report a case of profuse diarrhea after misoprostol use in a patient with a history of Crohn's disease and to discuss the role of eicosanoids in Crohn's disease. DATA SOURCES: Patient medical records, case reports, review articles identified by MEDLINE, and personal communication with the physician, patient, and manufacturer. DATA EXTRACTION: From interviews, the manufacturer, and pertinent published sources by one author and reviewed by the others. DATA SYNTHESIS: A 55-year-old woman presented to clinic complaining of multiple joint pains. Her medical history was significant for peptic ulcer disease, hypertension, and Crohn's disease in remission since May 1989. Her joint pains were treated with ibuprofen 600 mg po qid and misoprostol 200 micrograms po qid (after meals and at bedtime). Following the administration of three doses of ibuprofen and misoprostol, the patient experienced abdominal cramps, pain, and voluminous, watery diarrhea for two days. Upon discontinuation of the ibuprofen and misoprostol, all of her gastrointestinal symptoms resolved within 12 hours. Rechallenge with ibuprofen alone failed to produce a recurrence of symptoms. Enhanced synthesis of intestinal eicosanoids has been demonstrated in Crohn's disease. Misoprostol, a synthetic analog of one of the eicosanoids, could induce a flare-up of Crohn's disease as suggested in this patient. CONCLUSIONS: Misoprostol should be used with caution in patients with known inflammatory bowel disease.

Crohn Disease↗
PubMed1991

Evaluation of three theophylline dosing methods in pediatric patients.

Three methods used for individualizing theophylline dosing were prospectively evaluated in 34 pediatric patients to compare the methods' ability to accurately predict steady-state serum theophylline concentrations (STCs) from non-steady-state data. Methods evaluated included a Bayesian weighted sum of squares regression program, an algebraic method developed by Chiou, and a commonly used population-based pediatric dosing algorithm. An expanded retrospective evaluation was also done to further compare the Bayesian and Chiou methods. Patients (aged 1-11 y) admitted to the hospital for acute bronchospasm refractory to inhaled beta agonists and with physician's orders to receive intravenous aminophylline were eligible for participation. Study patients received a 6-mg/kg loading dose aminophylline, followed by a 0.8-1.0 mg/kg/h constant aminophylline infusion. STCs were obtained 0.5 and 5.5 hours postinfusion. Subjects were randomized to one of three dosing method groups (Bayesian, Chiou, or pediatric algorithm). Doses were calculated using the assigned method to attain a target steady-state STC. Predictions from each dosing method were compared with actual serum concentrations for bias and precision. Additionally, analysis of fit-to-the-line-of-identity for predicted versus observed STCs was evaluated for each method. Precision of methods was also compared with regard to their ability to predict within 20 percent of their observed steady-state STC. Results from the prospective evaluation showed no significant difference between the three methods tested. Predicted STCs fell within 20 percent of their observed steady-state concentrations for 18 percent (2/11) of patients in the algorithm group, and 45 percent (5/11) of patients in the Chiou group and 17 percent (2/12) of the patients in the Bayesian group met this criterion. Retrospective analysis of all 34 patients demonstrated that the Bayesian and Chiou methods had similar bias and precision and no statistical difference was found between them. The results from this evaluation suggest that the pediatric dosing algorithm is equivalent in predictive bias and precision to the Bayesian and Chiou methods as well as in its ability to identify doses that result in steady-state STCs within 20 percent of their target values. Given the relative inaccuracy of these methods, cautious use of these techniques is recommended when evaluating non-steady-state STCs obtained from children during the acute stages of reactive airway disease.

Algorithms↗
PubMed1990

Procainamide-induced myasthenic crisis.

We describe a case of procainamide-induced respiratory failure in a myasthenic patient with no prior history of respiratory weakness. Respiratory failure was induced secondary to procainamide alone since no N-acetyl-procainamide level was detectable. The patient's strength rapidly improved and he was successfully extubated 12 h after the offending dose.

Aged↗
PubMed1988

Marked digoxin-like immunoreactive factor interference with an enzyme immunoassay.

A case in which digoxin-like immunoreactive factors (DLIF) interfered with an enzyme immunoassay in a patient with renal insufficiency is reported. A 79-year-old woman was found to have a serum digoxin concentration (SDC) determined by enzyme immunoassay of 5.0 ng/ml. Although all subsequent SDC determined by the enzyme immunoassay system were elevated, identical samples run on a fluorescence polarization immunoassay revealed SDC within the therapeutic range. Marked DLIF-related assay interference has been reported to occur with some digoxin assays; however, the enzyme immunoassay methods have never been reported to cross-react to the magnitude seen in this case.

Aged↗
PubMed1987

Accuracy of Bayesian, Sawchuk-Zaske, and nomogram dosing methods for vancomycin.

The predictive performance of a Bayesian method for vancomycin dosing was compared with that of two nomogram-based methods and the Sawchuk-Zaske method. Prospectively collected serum concentration data were evaluated retrospectively in patients who had at least two steady-state peak and trough serum vancomycin concentrations obtained during two different dosage regimens. The methods evaluated were a Bayesian program that uses a one-compartment weighted-sum-of-squares expression; the nomogram methods of Moellering and Matzke, which derive vancomycin clearance from urinary creatinine clearance; and the Sawchuk-Zaske method, which uses equations for one-compartment, first-order elimination. The ability of each method to predict the second set of serum concentrations when given the first set of concentrations was evaluated using mean prediction error (ME), mean absolute error (MAE), and root mean squared error (RMSE). To compare the predictions made by each of the four methods, the differences in mean error and the differences in the natural logarithm of mean absolute error and their 95% confidence intervals were compared. No significant difference in ME (bias) or MAE (precision) was found between the Moellering and Matzke methods. The Sawchuk-Zaske method was significantly more precise than the Matzke method in predicting peak serum concentrations and more precise than the Moellering or Matzke method in predicting trough concentrations. The Bayesian program was significantly more precise and less biased than the Moellering and Matzke methods and less biased than the Sawchuk-Zaske method in predicting both peak and trough concentrations.(ABSTRACT TRUNCATED AT 250 WORDS)

Adolescent↗