Current Trends in Geriatric Emergency Medicine.

The number of geriatric visits to United States emergency departments continues to rise. This article reviews demographics, statistics, and future projections in geriatric emergency medicine. Included are discussions of US health care spending, geriatric emergency departments, prehospital care, frailty of geriatric patients, delirium, geriatric trauma, geriatric screening and prediction tools, medication safety, long-term care, and palliative care.

Stroke mimics.

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.

Time series analysis of emergency department length of stay per 8-hour shift.

INTRODUCTION: The mean emergency department (ED) length of stay (LOS) is considered a measure of crowding. This paper measures the association between LOS and factors that potentially contribute to LOS measured over consecutive shifts in the ED: shift 1 (7:00 am to 3:00 pm), shift 2 (3:00 pm to 11:00 pm), and shift 3 (11:00 pm to 7:00 am). SETTING: University, inner-city teaching hospital. PATIENTS: 91,643 adult ED patients between October 12, 2005 and April 30, 2007. DESIGN: 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 24-hour 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.

Risk management for the emergency physician: competency and decision-making capacity, informed consent, and refusal of care against medical advice.

This article focuses on those times that the emergency physician (EP) and patient do not agree on a treatment option. Attention is placed on the risk management issues relevant to the patient's unexpected choice. Emphasis is placed on determining a patient's competency or capability of making clinical decisions, with particular focus on the EP deciding that patient competency requires a formal evaluation. The EP should have a strategy for assessing clinical decision-making capability and an understanding of what circumstances should act as a trigger for considering such an assessment. Attention to documentation issues around informed consent, common barriers to consent, refusal of care, and ED discharge against medical advice are examined.

Conditions requiring emergency ophthalmologic consultation.

Emergency physicians are well prepared to diagnose and manage the majority of visits requiring emergency ophthalmology consultation. However, deciding which cases require the expertise of an ophthalmologist and in what time frame can be a challenge. This article attempts to provide guidelines to the emergency physician regarding when to call for emergency ophthalmology consultation.

Time series analysis of variables associated with daily mean emergency department length of stay.

STUDY OBJECTIVE: We measure the effect of various input, throughput, and output factors on daily emergency department (ED) mean length of stay per patient (daily mean length of stay). METHODS: The study was a retrospective review of 93,274 ED visits between April 15, 2002, and December 31, 2003. The association between the daily mean length of stay and the independent variables was assessed with autoregressive moving average time series analysis (ARIMA). The following independent variables were measured per 24-hour period: number of elective surgical admissions, ED volume, number of ED admissions, number of ED ICU admissions, number of ED clinical attending hours, hospital medical-surgical occupancy (hospital occupancy), and day of the week. RESULTS: Three factors were independently associated with daily mean length of stay in time series analysis: number of elective surgical admissions, number of ED admissions, and hospital occupancy. The daily mean length of stay increased by 0.21 minutes for every additional elective surgical admission, 2.2 minutes for every additional admission, and 4.1 minutes for every 5% increase in hospital occupancy. Elective surgical admissions were associated with a maximum of 35 hours of additional ED dwell time. The model accounted for 31.5% of the variability in daily mean length of stay. The final model parameters for the ARIMA analysis were autoregressive term (1) moving average (1). CONCLUSION: Hospital occupancy and the number of ED admissions are associated with daily mean length of stay. Every additional elective surgical admission prolonged the daily mean length of stay by 0.21 minutes per ED patient. Autocorrelation exists between the daily mean length of stay of the current day and the previous day.

Trends in geriatric emergency medicine.

To better understand future emergency department use, it is valuable to analyze the current emergency department use rates of the geriatric population. This article reviews emergency department use by demographics, causes of death, principal reason for emergency department visits, number of emergency department visits per person per year, prescription drugs used, and recent trends in emergency department visits.

Bench to bedside: Pharmacogenomics, adverse drug interactions, and the cytochrome P450 system.

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.