No abstract

No abstract

No abstract

No abstract

Stroke mimics are an important consideration for emergency physicians and physician extenders working in emergency departments. The emergency medicine physician must determine whether the acute neurologic deficits represent a transient event or a potential stroke. This article describes the common stroke mimic presentations by cause, including toxic-metabolic pathologies, seizure disorders, degenerative neurologic conditions, and peripheral neuropathies.

As physicians attempt to improve the quality of health care, one area of particular concern has been preventable medical errors from adverse drug interactions. The cytochrome P450 family of enzymes has been implicated in a large number of these preventable, adverse drug interactions. This report reviews the basic biochemistry and pharmacogenomics underlying the reactions catalyzed by the cytochrome P450 family of enzymes. An emphasis is placed on the phenotypic variations within a population and the resulting clinical effects. In addition, six members of the cytochrome P450 superfamily that are responsible for the metabolism of the majority of pharmaceutical agents are profiled in detail. These enzymes, CYP3A4, CYP2D6, CYP2C9, CYP2C19, CYP2E1, and CYP1A2, are reviewed with regard to their phenotypic variation in the population and the resulting clinical and therapeutic implications.

No abstract

For each shift, we measured the numbers of (1) ED nurses on duty, (2) discharges, (3) discharges on the previous shift, (4) resuscitation cases, (5) admissions, (6) intensive care unit (ICU) admissions, and (7) LOS on the previous shift. For each 24hour period, we measured the (1) number of elective surgical admissions and (2) hospital occupancy. We used autoregressive integrated moving average time series analysis to retrospectively measure the association between LOS and the covariates.Results: For all 3 shifts, LOS in minutes increased by 1.08 (95% confidence interval 0.68, 1.50) for every additional 1% increase in hospital occupancy. For every additional admission from the ED, LOS in minutes increased by 3.88 (2.81, 4.95) on shift 1, 2.88 (1.54, 3.14) on shift 2, and 4.91 (2.29, 7.53) on shift 3. LOS in minutes increased 14.27 (2.01, 26.52) when 3 or more patients were admitted to the ICU on shift 1. The numbers of nurses, ED discharges on the previous shift, resuscitation cases, and elective surgical admissions were not associated with LOS on any shift. Conclusion:Key factors associated with LOS include hospital occupancy and the number of hospital admissions that originate in the ED. This particularly applies to ED patients who are admitted to the ICU.