Critical care outcomes in the United Kingdom: sobering wake-up call or stability of the lamppost?

Evaluation of the Acute Physiology and Chronic Health Evaluation III in predicting the prognosis of patients admitted to Emergency Department, in need of intensive care unit

INTRODUCTION

Many of critically ill patients receive medical care for prolonged periods in emergency department (ED). This study is the evaluation of efficiency of Acute Physiology and Chronic Health Evaluation (APACHE) III scoring system in predicting mortality rate in these patients.

METHODS

This study was conducted between 2008 and 2009 in Tehran, Iran. One hundred subjects were enrolled in the study. Cases were chosen from patients in need of intensive care unit (ICU) bed who were kept in the ED. The APACHE III scores and predicted and observed mortality rates were calculated using the information from patients' files, interviews with the patients' families, and performing required physical examinations and laboratory tests.

RESULTS

The age of the patients and the ED length of stay were 66.07 (±19.92) years and 5.11 (±3.79) days, respectively. The mean (±SD) of APACHE III score of the patients was 58.89 (±18.24). The predicted mortality rate was calculated to be 32.73%, whereas the observed mortality rate was 55%. The mean (±SD) of APACHE III score of survivors and nonsurvivors was 48.63 (±16.35) and 67.63 (±14.84), respectively (P < .001). Furthermore, the ED length of stay was 3.20 (±1.34) and 6.57 (±4.4) days in survivors vs nonsurvivors, respectively (P < .001).

CONCLUSION

The APACHE III score and ED lengths of stay were higher in this study compared with other studies. This could be ascribed to more critical patients presenting to the study center and also limited ICU bed availability. This study was indicative of applicability of APACHE III scoring system in evaluating the quality of care and prognosis of ED patients in need of ICU.

The profit motive and spine surgery

STUDY DESIGN

The profit motive and market medicine have had a significant impact on clinical practice and research in the field of spine surgery. An overview of current concerns is presented.

OBJECTIVE

The objective of this study was to provide those involved in the study and treatment of spinal disorders with a critical overview of the effects of the profit motive on our practices.

SUMMARY OF BACKGROUND DATA

Historically, the profit motive has been viewed as eroding the standards of spine surgery, encouraging surgeons to operate aggressively and researchers to bias their results. Although there are legitimate concerns regarding the role played by such market forces, the profit motive exerts several quite positive effects on spine surgery as well.

METHODS

Negative and positive aspects of the profit motive in spine surgery are explored along with alternative approaches.

RESULTS

The profit motive in spine surgery can result in unnecessary surgery, as well as the push to market of unproven technologies. Yet, without a robust profit motive, it is unclear where sufficient funding could be found to support research and education, and to underwrite the advancement of new technologies.

CONCLUSIONS

The profit motive significantly influences the way we practice and conduct research in spine surgery. To minimize the negative aspects of the profit motive, spine surgeons and researchers must refrain from being used by companies to rush products to market and/or compromising patient care out of self-interest.

Can generic paediatric mortality scores calculated 4 hours after admission be used as inclusion criteria for clinical trials?

INTRODUCTION

Two generic paediatric mortality scoring systems have been validated in the paediatric intensive care unit (PICU). Paediatric RISk of Mortality (PRISM) requires an observation period of 24 hours, and PRISM III measures severity at two time points (at 12 hours and 24 hours) after admission, which represents a limitation for clinical trials that require earlier inclusion. The Paediatric Index of Mortality (PIM) is calculated 1 hour after admission but does not take into account the stabilization period following admission. To avoid these limitations, we chose to conduct assessments 4 hours after PICU admission. The aim of the present study was to validate PRISM, PRISM III and PIM at the time points for which they were developed, and to compare their accuracy in predicting mortality at those times with their accuracy at 4 hours.

METHODS

All children admitted from June 1998 to May 2000 in one tertiary PICU were prospectively included. Data were collected to generate scores and predictions using PRISM, PRISM III and PIM.

RESULTS

There were 802 consecutive admissions with 80 deaths. For the time points for which the scores were developed, observed and predicted mortality rates were significantly different for the three scores (P < 0.01) whereas all exhibited good discrimination (area under the receiver operating characteristic curve >or=0.83). At 4 hours after admission only the PIM had good calibration (P = 0.44), but all three scores exhibited good discrimination (area under the receiver operating characteristic curve >or=0.82).

CONCLUSIONS

Among the three scores calculated at 4 hours after admission, all had good discriminatory capacity but only the PIM score was well calibrated. Further studies are required before the PIM score at 4 hours can be used as an inclusion criterion in clinical trials.

Prognostic factors in intensive care

Predicting the outcome of critical illness remains an evolving art despite many recent advances. This review article describes the tools currently employed, appraising each in turn. The subject is viewed from the perspective that physiological reserve and inflammatory response are the essential elements in assessing prognosis in patients with multi-organ dysfunction/failure, the most commonly encountered syndrome in intensive care practice.

The contemporary surgical intensive care unit. Structure, staffing, and issues

Modern ICUs present unique challenges to physician-administrators in the current health care environment. Several models of care (e.g., open versus closed ICUs, physician extenders in the ICU) are used throughout the country, with varying degrees of success. Although all care models may work, the ideal model for a given ICU can be found only through ongoing performance improvement.