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Biomedical subjects

S M Watling

Publications and source records attributed to S M Watling.

6 recordsLinked to original sources
PubMed1992

Verapamil overdose: case report and review of the literature.

OBJECTIVE: To report the presentation and controversies regarding therapy of an 18-year-old man following a life-threatening ingestion of verapamil. CASE SUMMARY: An 18-year-old man ingested large quantities of dipyridamole, trimethoprim/sulfamethoxazole, amoxicillin, and verapamil. He presented to an outlying hospital and was initially conscious. Soon thereafter, the patient had a seizure; he required intubation, developed cardiac conduction abnormalities, and became hypotensive. The patient required pharmacologic pressors and a pacemaker for transfer to our institution. At our institution, vigorous fluid resuscitation, cardiac pacing, and careful attention to acid/base and electrolyte management provided the basis of therapy. The patient recovered without deficit and was discharged from the intensive care unit five days later. DISCUSSION: Current controversies regarding the management of verapamil overdose are reviewed. Removal of the drug by gastric lavage is a mainstay of therapy. Administration of syrup of ipecac is contraindicated. Although specific recommendations for calcium dosing in the overdose situation have not been rigorously studied, maintenance of a normal serum ionized calcium concentration is suggested. An exogenous catecholamine, rather than dopamine, may be the drug of choice for treating hypotension. Cardiopulmonary bypass provides a method for drug removal in cases of severe toxicity; however, this invasive method requires further study. Management of fluid/electrolyte, acid/base, and ventilation abnormalities is required to treat large ingestions of verapamil. Treatment guidelines for critical care clinicians are provided.

Adolescent↗
PubMed1992

Population pharmacokinetics of gentamicin. Use of the nonparametric expectation maximisation (NPEM) algorithm.

A new nonparametric expectation maximisation (NPEM) algorithm for the estimation of population pharmacokinetic parameter values was evaluated. The algorithm, in the form of a personal computer program, was used to compute population pharmacokinetic parameter densities of gentamicin in a group of 9 patients with indicators of malnutrition. The 1-compartment parameter values for clearance (CL), volume of distribution (Vd) and elimination rate constant (k) were compared with values generated using a standard 2-stage (STS) approach. NPEM was used with a full data set (72 gentamicin concentrations) and a sparse data set (only peak and trough concentrations for each patient; 18 in total). There were no differences in parameter value estimations between the STS and NPEM with all the data (p greater than 0.05) or with the sparse data (p greater than 0.05). Mean parameter value estimates from the STS and NPEM (with sparse data) were used as a priori data sets in the USC*PACK gentamicin Bayesian program to predict concentrations in 8 subsequent patients with similar indicators of malnutrition. There were no differences in predicted gentamicin concentrations between STS (3.75 +/- 2.06 mg/L) and NPEM (3.75 +/- 2.17 mg/L). NPEM was able to generate population pharmacokinetic parameter values for gentamicin in a defined population of patients using sparse routine clinical data. It was also shown to function with only a single data point per patient.

Aged↗
PubMed1991

The impact of changing ventilator parameters on availability of nebulized drugs in an in vitro neonatal lung system.

An in vitro model was developed to assess nebulized drug delivery. The model simulated the intubated neonate and examined the effect of changes in a variety of parameters commonly confronted in the clinical setting. Theophylline was nebulized for 15 minutes and captured in an artificial lung system (a 1000-mL intravenous bag). Variables were: peak pressure (20, 24, 28 cm H2O), ventilator rate (40, 60, 80 breaths/min), nebulizer flow rate (5, 7, 10 L/min), endotracheal tube size (2.5, 3.0, 3.5 mm), and ventilator type (Servo 900C, Bourns BP 200, Bear Cub BP 2001). The amount of drug actually captured in the bag ranged from 0.009 to 12.59 percent (mean 2.08). A multivariate analysis showed that only nebulizer flow rate had a statistically significant effect on drug delivery with 10 L/min delivering the most drug. All factors combined only accounted for 11.5 percent of the variability in drug delivery. In light of the wide and unpredictable amounts of drug delivered through ventilators, dosing to pharmacologic effect rather than staying within narrow dosing guidelines may be more rational in patients responding poorly to standard doses.

Humans↗