Advance care planning norms may contribute to hospital variation in end-of-life ICU use: a simulation study.

BACKGROUND: There is wide variation in end-of-life (EOL) intensive care unit (ICU) use among academic medical centers (AMCs). Our objective was to develop hypotheses regarding medical decision-making factors underlying this variation. METHODS: This was a high-fidelity simulation experiment involving a critically and terminally ill elder, followed by a survey and debriefing cognitive interview and evaluated using triangulated quantitative-qualitative comparative analysis. The study was conducted in 2 AMCs in the same state and health care system with disparate EOL ICU use. Subjects were hospital-based physicians responsible for ICU admission decisions. Measurements included treatment plan, prognosis, diagnosis, qualitative case perceptions, and clinical reasoning. RESULTS: Sixty-seven of 111 (60%) eligible physicians agreed to participate; 48 (72%) could be scheduled. There were no significant between-AMC differences in 3-month prognosis or treatment plan, but there were systematic differences in perceptions of the case. Case perceptions at the low-intensity AMC seemed to be influenced by the absence of a do-not-resuscitate order in the context of norms of universal code status discussion and documentation upon admission, whereas case perceptions at the high-intensity AMC seemed to be influenced by the patient's known metastatic gastric cancer in the context of norms of oncologists' avoiding code status discussions. CONCLUSIONS: In this simulation study of 2 AMCs, hospital-based physicians had different perceptions of an identical case. We hypothesize that different advance care planning norms may have influenced their decision-making heuristics.

Predictors of early postdischarge mortality in critically ill patients: a retrospective cohort study from the California Intensive Care Outcomes project.

PURPOSE: Existing intensive care unit (ICU) mortality measurement systems address in-hospital mortality only. However, early postdischarge mortality contributes significantly to overall 30-day mortality. Factors associated with early postdischarge mortality are unknown. METHODS: We performed a retrospective study of 8484 ICU patients. Our primary outcome was early postdischarge mortality: death after hospital discharge and 30 days or less from ICU admission. Cox regression models assessed the association between patient, hospital, and utilization factors and the primary outcome. RESULTS: In multivariate analyses, the hazard for early postdischarge mortality increased with rising severity of illness and decreased with full-code status (hazard ratio [HR], 0.33; 95% confidence interval [CI], 0.21-0.49). Compared with discharges home, early postdischarge mortality was highest for acute care transfers (HR, 3.18; 95% CI, 2.45-4.12). Finally, patients with very short ICU length of stay (<1 day) had greater early postdischarge mortality (HR, 1.86; 95% CI; 1.32-2.61) than those with longest stays (≥7 days). CONCLUSIONS: Early postdischarge mortality is associated with patient preferences (full-code status) and decisions regarding timing and location of discharge. These findings have important implications for anyone attempting to measure or improve ICU performance and who rely on in-hospital mortality measures to do so.

The effect of race and ethnicity on outcomes among patients in the intensive care unit: a comprehensive study involving socioeconomic status and resuscitation preferences.

OBJECTIVE: We sought to determine whether race or ethnicity is independently associated with mortality or intensive care unit length of stay among critically ill patients after accounting for patients' clinical and demographic characteristics including socioeconomic status and resuscitation preferences. DESIGN: Historical cohort study of patients hospitalized in intensive care units. SETTING: Adult intensive care units in 35 California hospitals during the years 2001-2004. PATIENTS: A total of 9,518 intensive care unit patients (6,334 white, 655 black, 1,917 Hispanic, and 612 Asian/Pacific Islander patients). MEASUREMENTS AND MAIN RESULTS: The primary outcome was risk-adjusted mortality and a secondary outcome was risk-adjusted intensive care unit length of stay. Crude hospital mortality was 15.9% among the entire cohort. Asian patients had the highest crude hospital mortality at 18.6% and black patients had the lowest at 15.0%. After adjusting for age and gender, Hispanic and Asian patients had a higher risk of death compared to white patients, but these differences were not significant after additional adjustment for severity of illness. Black patients had more acute physiologic derangements at intensive care unit admission and longer unadjusted intensive care unit lengths of stay. Intensive care unit length of stay was not significantly different among racial/ethnic groups after adjustment for demographic, clinical, and socioeconomic factors and do-not-resuscitate status. In an analysis restricted only to those who died, decedent black patients averaged 1.1 additional days in the intensive care unit (95% confidence interval, 0.26-2.6) compared to white patients who died, although this was not statistically significant. CONCLUSIONS: Hospital mortality and intensive care unit length of stay did not differ by race or ethnicity among this diverse cohort of critically ill patients after adjustment for severity of illness, resuscitation status, socioeconomic status, insurance status, and admission type. Black patients had more acute physiologic derangements at intensive care unit admission and were less likely to have a do-not-resuscitate order. These results suggest that among intensive care unit patients, there are no racial or ethnic differences in mortality within individual hospitals. If disparities in intensive care unit care exist, they may be explained by differences in the quality of care provided by hospitals that serve high proportions of minority patients.

Mortality probability model III and simplified acute physiology score II: assessing their value in predicting length of stay and comparison to APACHE IV.

BACKGROUND: To develop and compare ICU length-of-stay (LOS) risk-adjustment models using three commonly used mortality or LOS prediction models. METHODS: Between 2001 and 2004, we performed a retrospective, observational study of 11,295 ICU patients from 35 hospitals in the California Intensive Care Outcomes Project. We compared the accuracy of the following three LOS models: a recalibrated acute physiology and chronic health evaluation (APACHE) IV-LOS model; and models developed using risk factors in the mortality probability model III at zero hours (MPM(0)) and the simplified acute physiology score (SAPS) II mortality prediction model. We evaluated models by calculating the following: (1) grouped coefficients of determination; (2) differences between observed and predicted LOS across subgroups; and (3) intraclass correlations of observed/expected LOS ratios between models. RESULTS: The grouped coefficients of determination were APACHE IV with coefficients recalibrated to the LOS values of the study cohort (APACHE IVrecal) [R(2) = 0.422], mortality probability model III at zero hours (MPM(0) III) [R(2) = 0.279], and simplified acute physiology score (SAPS II) [R(2) = 0.008]. For each decile of predicted ICU LOS, the mean predicted LOS vs the observed LOS was significantly different (p

Central line infections.

Central venous catheters are commonly used in the critical care setting. Unfortunately, their use is often associated with complications, including fatal infections. Making the diagnosis of central venous catheter infection can be difficult. Additionally, resistance among the more common organisms that cause catheter-related infection is increasing. However, our understanding of the pathogenesis of catheter infection is improving through examination of biofilms. Also, our ability to diagnose catheter-related infections more accurately is improving with new techniques. There is new hope for ruling out catheter-related infection before removal by several methods, including a rapid enzyme-linked immunosorbent assay and the use of time differential for microbial growth between blood cultures obtained from a peripheral site and the catheter itself. Prevention through the use of barrier techniques and antimicrobial-coated catheters has been demonstrated to be of value in reducing catheter-related infection with these devices.