Improving the ICU: part 1

ICUs are a vital component of modern health care. Improving ICU performance requires that we shift from a paradigm that concentrates on individual performance to a different paradigm that emphasizes the need to assess and improve ICU systems and processes. This is the first part of a two-part treatise. It discusses existing problems in ICU care, and the methods for defining and measuring ICU performance.     

The effect of body mass index on patient outcomes in a medical ICU

STUDY OBJECTIVES: To examine the effect of patient body mass index (BMI) on outcome in intensive care. DESIGN: In a prospective study, the patients were classified into groups based on the calculated BMI, as follows: BMI < 19.0 (n = 350), > or = 19.0 and < 25.0 (n = 663), > or = 25.0 and < 29.9 (n = 585), > or = 30.0 and < 40.0 (n = 396), and > or = 40.0 (n = 154). Groups were compared by age, APACHE (acute physiology and chronic health evaluation) II score, mortality, ICU length of stay (LOS), hospital LOS, number receiving ventilation, and ventilator-days. Adverse events including nosocomial pneumonia, ventilator-days per patient, failed extubations, and line-related complications were recorded. SETTING: The study was conducted in a 9-bed medical ICU of a 650-bed tertiary care hospital. MEASUREMENTS: Height and weight were prospectively recorded for the first ICU admission during a hospital stay. RESULTS: Between January 1, 1997, and August 1, 2001, 2,148 of 2,806 patients admitted to the ICU had height and weight recorded. There were no differences in APACHE II score, mortality, ICU LOS, hospital LOS, number receiving ventilation, ventilator-days, average total cost, or average variable cost among the five groups. However, the severely obese patients were more frequently female and younger than those who were overweight and obese (p < 0.001). Adverse events were infrequent, but there were no differences between the obese/very obese compared with others. CONCLUSION: BMI has minimal effects on ICU outcome after patients are admitted to a critical care unit.     

Prevention of acute renal failure

Acute renal failure (ARF) comprises a family of syndromes that is characterized by an abrupt and sustained decrease in the glomerular filtration rate. In the ICU, ARF is most often due to sepsis and other systemic inflammatory states. ARF is common among the critically ill and injured and significantly adds to morbidity and mortality of these patients. Despite many advances in medical technology, the mortality and morbidity of ARF in the ICU continue to remain high and have not improved significantly over the past 2 decades. Primary strategies to prevent ARF still include adequate hydration, maintenance of mean arterial pressure, and minimizing nephrotoxin exposure. Diuretics and dopamine have been shown to be ineffective in the prevention of ARF or improving outcomes once ARF occurs. Increasing insight into mechanisms leading to ARF and the importance of facilitating renal recovery has prompted investigators to evaluate the role of newer therapeutic agents in the prevention of ARF.     

The impact of critical illness on perceived health-related quality of life during ICU treatment, hospital stay, and after hospital discharge: a long-term follow-up study

BACKGROUND: The time course of changes in health-related quality of life (HRQOL) following discharge from the ICU and during a general ward stay has not been studied. We therefore studied the immediate impact of critical illness on HRQOL and its recovery over time. METHODS: In a prospective study, all patients admitted to the ICU for > 48 h who ultimately survived to follow-up at 6 months were included. The Medical Outcomes Study 36-item short form was used to measure HRQOL before ICU admission, at discharge from the ICU and hospital, and at 3 and 6 months following discharge from the ICU and hospital. An age-matched healthy Dutch population was used as a reference. RESULTS: Of the 451 included patients, 252 could be evaluated at 6 months (40 were lost to follow-up, and 159 died). Pre-ICU admission HRQOL in survivors was significantly worse compared to the healthy population. Patients who died between ICU admission and long-term follow-up had significantly worse HRQOL in all dimensions already at ICU admission when compared to the long-term survivors. HRQOL decreased in all dimensions (p < 0.001) during ICU stay followed by a rapid improvement during hospital stay, gradually improving to near pre-ICU admission HRQOL at 6 months following ICU discharge. Physical functioning (PF), general health (GH), and social functioning (SF) remained significantly lower than pre-ICU admission values. Compared to the healthy Dutch population, ICU survivors had significantly lower HRQOL 6 months following ICU discharge (except for the bodily pain score). CONCLUSIONS: A sharp multidimensional decline in HRQOL occurs during ICU admission where recovery already starts following ICU discharge to the general ward. Recovery is incomplete for PF, GH, and SF when compared to baseline values and the healthy population.     

Variation in ICU risk-adjusted mortality: impact of methods of assessment and potential confounders

BACKGROUND: Federal and state agencies are considering ICU performance assessment and public reporting; however, an accurate method for measuring performance must be selected. In this study, we determine whether a substantial variation in ICU mortality performance still exists in modern ICUs, and compare the predictive accuracy, reliability, and data burden of existing ICU risk-adjustment models. METHODS: A retrospective chart review of 11,300 ICU patients from 35 California hospitals from 2001 to 2004 was performed. We calculated standardized mortality ratios (SMRs) for each hospital using the mortality probability model III (MPM(0) III), the simplified acute physiology score (SAPS) II, and the acute physiology and chronic health evaluation (APACHE) IV risk-adjustment models. We compared discrimination, calibration, data reliability, and abstraction time for the models. RESULTS: Regardless of the model used, there was a large variation in SMRs among the ICUs studied. The discrimination and calibration were adequate for all risk-adjustment models. APACHE IV had the best discrimination (area under the receiver operating characteristic curve [AUC], 0.892) compared to MPM(0) III (AUC, 0.809), and SAPS II (AUC, 0.873; p < 0.001). The models differed substantially in data abstraction times, as follows: MPM(0)III, 11.1 min (95% confidence interval [CI], 8.7 to 13.4); SAPS II, 19.6 min (95% CI, 17.0 to 22.2); and APACHE IV, 37.3 min (95% CI, 28.0 to 46.6). CONCLUSIONS: We found substantial variation in the ICU risk-adjusted mortality rates that persisted regardless of the risk-adjustment model. With unlimited resources, the APACHE IV model offers the best predictive accuracy. If constrained by cost and manual data collection, the MPM(0) III model offers a viable alternative without a substantial loss in accuracy.     

Outcome of patients with small-vessel vasculitis admitted to a medical ICU

PURPOSES: This study aims to describe the clinical course and prognostic factors of patients with small-vessel vasculitis admitted to a medical ICU. METHODS: We reviewed the clinical records of 38 patients with small-vessel vasculitis admitted consecutively to the ICU between January 1997 and May 2004. The APACHE (acute physiology and chronic health evaluation) III prognostic system was used to determine the severity of illness on the first ICU day; the sequential organ failure assessment (SOFA) score was used to measure organ dysfunction, and the Birmingham vasculitis activity score for Wegener granulomatosis (BVAS/WG) was used to assess vasculitis activity. Outcome measures were the 28-day mortality and ICU length of stay. RESULTS: Nineteen patients (50%) had Wegener granulomatosis, 16 patients (42%) had microscopic polyangiitis, 2 patients had CNS vasculitis, and 1 patient had Churg-Strauss syndrome. Reasons for ICU admission included alveolar hemorrhage in 14 patients (37%), sepsis in 5 patients (13%), seizures in 3 patients (8%), and pneumonia in 2 patients (5%). The median ICU length of stay was 4.0 days (interquartile range, 2.0 to 6.0 days). The APACHE III score was lower in survivors than nonsurvivors (p = 0.010). The predicted hospital mortality was 54% for nonsurvivors and 21% for survivors (p = 0.0038). The mean SOFA score was 11.6 (SD, 2.6) in nonsurvivors, compared to 6.9 (SD, 2.4) in survivors (p = 0.0004). Mean BVAS/WG scores were 8.6 (SD, 3.6) in nonsurvivors and 4.7 (SD, 4.6) in survivors (p = 0.0889). Twenty-six percent of the patients received invasive mechanical ventilation, and 33% underwent dialysis. The 28-day and 1-year mortality rates were 11% and 29%, respectively. CONCLUSIONS: The mortality of patients with small-vessel vasculitis admitted to the ICU is lower than predicted, and alveolar hemorrhage is the most common reason for ICU admission.     

Platelet count decline: an early prognostic marker in critically ill patients with prolonged ICU stays

BACKGROUND: Thrombocytopenia is common in ICU patients. The objective of this study was to evaluate possible links between declining platelet counts early in the ICU stay and survival. METHODS: All patients who were admitted to the ICU for at least 5 days and had no thrombocytopenia at the time of admission were included in the study. A multivariable logistic regression model, with hospital mortality as the outcome variable, was built. RESULTS: We included 1,077 patients in the study. At ICU admission, the median platelet count was not significantly different in survivors (256 x 10(9) cells/L; interquartile range [IQR], 206 to 330 x 10(9) cells/L) and nonsurvivors (262 x 10(9) cells/L; 211 to 351 x 10(9) cells/L). Median simplified acute physiology scores II (SAPS II) at ICU admission was worse in nonsurvivors than in survivors (50 [IQR, 37 to 63] vs 37 [IQR, 27 to 48], respectively; p < 0.0001), as was the mean (+/- SD) sequential organ failure assessment (SOFA) score on day 3 (6.3 +/- 3.24 vs 4 +/- 2.8, respectively; p < 0.0001). Absolute platelet counts were lowest on day 4, but differed significantly between survivors and nonsurvivors only on day 7. Conversely, any percentage decline in platelet counts from 10 to 60% on day 4 was significantly associated with mortality. By multivariable analysis, a 30% decline in platelet count independently predicted death (odds ratio, 1.54; 95% confidence interval, 1.12 to 2.14; p = 0.008), in addition to increasing or stable SOFA scores from ICU admission to day 4, older age, male gender, ICU admission for coma, worse SAPS II score at ICU admission, transfer from another ward, and comorbidity. CONCLUSION: In patients who spend > 5 days in the ICU and have normal platelet counts at ICU admission, a decline in platelet counts provides prognostic information. This parameter deserves to be included in new scoring systems.     

Airway management in critical illness

Airway management in the ICU can be complicated due to many factors including the limited physiologic reserve of the patient. As a consequence, the likelihood of difficult mask ventilation and intubation increases. The incidence of failed airways and of cardiac arrest related to airway instrumentation in the ICU is much higher than that of elective intubations performed in the operating room. A thorough working knowledge of the devices available for the management of the difficult airway and recommended rescue strategies is paramount in avoiding bad patient outcomes. In this review, we will provide a conceptual framework for airway assessment, with an emphasis on assessment of the patient with limited cervical spine movement or injury and of morbidly obese patients. Furthermore, we will review the devices that are available for airway management in the ICU, and discuss controversies surrounding interventions like cricoid pressure and the use of muscle relaxants in the critically ill patient. Finally, strategies for the safe extubation of patients with known difficult airways will be provided.     

Effect of decisions to withhold life support on prolonged survival

BACKGROUND: The effect on long-term mortality of decisions made to withhold life-supporting therapies (LST) for critically ill patients is unclear. We hypothesized that mortality 60 days after ICU admission is not influenced by a decision to withhold use of LST in the context of otherwise providing all indicated care. METHODS: We studied 2,211 consecutive, initial admissions to the adult, medical ICU of a university-affiliated teaching hospital. To achieve balanced groups for comparing outcomes, we created a multivariable regression model for the probability (propensity score [PS]) of having an order initiated in the ICU to withhold LST. Each of the 201 patients with such an order was matched to the patient without such an order having the closest PS; mortality rates were compared between the matched pairs. Cox survival analysis was performed to extend the main analysis. RESULTS: The matched pairs were well balanced with respect to all of the potentially confounding variables. Sixty days after ICU admission, 50.5% of patients who had an order initiated in the ICU to withhold life support had died, compared to 25.8% of those lacking such orders (risk ratio, 2.0; 95% confidence interval, 1.5 to 2.6). Survival analysis indicated that the difference in mortality between the two groups continued to increase for approximately 1 year. CONCLUSION: Contrary to our hypothesis, decisions made in the ICU to withhold LST were associated with increased mortality rate to at least 60 days after ICU admission.     

Patient-focused sedation and analgesia in the ICU

Patient-focused sedation and analgesia in the ICU encompasses a strategy of comprehensive structured management that matches initial evaluation, monitoring, medication selection, and the use of protocols with patient characteristics and needs. This is best accomplished through interdisciplinary management by physicians, nurses, and pharmacists. An early consideration is that of the potential predisposing and precipitating factors, as well as prior sedative or analgesic use, factors that may influence pharmacologic and supportive therapy. Frequent monitoring with validated tools improves communication among clinicians and plays an important role in detecting and treating pain and agitation while avoiding excessive or prolonged sedation. Patient-focused management encompasses selecting medications best suited to patient characteristics, including the presence of organ dysfunction that may influence drug metabolism or excessive risk for side effects. The use of protocols to optimize drug therapy has emerged as a key component of management, resulting in reductions in the duration of sedation, mechanical ventilation, and ICU length of stay demonstrated with strategies to titrate medications to specific targets, daily interruption of sedation, intermittent rather than continuous therapy, and analgesia-based therapy. While much attention is paid to the initiation and maintenance of therapy, greater emphasis must be placed on careful de-escalation of therapy in order to avoid analgesic or sedative withdrawal. Finally, more work is needed to explore the relationship of critical illness and sedation management with long-term psychological outcomes.     

A comparative study of community-acquired pneumonia patients admitted to the ward and the ICU

BACKGROUND: Limited information is available on the health-care utilization of hospitalized patients with community-acquired pneumonia (CAP) depending on the location of care. Our aim was to compare the clinical characteristics, etiologies, and outcomes of patients with CAP who were admitted to the ICU with those admitted who were to the ward service. METHODS: A retrospective cohort study, at two tertiary teaching hospitals, one of which was a Veterans Affairs hospital, and the other a county hospital. Eligible subjects had been admitted to the hospital with a diagnosis of CAP between January 1, 1999, and December 31, 2001, had a confirmatory chest radiograph, and a hospital discharge International Classification of Diseases, ninth revision, diagnosis of pneumonia. Subjects were excluded from the study if they had designated "comfort measures only" or had been transferred from another acute care hospital or were nursing home patients. Bivariate and multivariable analysis evaluated 30-day and 90-day mortality as the dependent measures. RESULTS: Data were abstracted on 730 patients (ICU, 145 patients; wards, 585 patients). Compared to ward patients, ICU patients were more likely to be male (p = 0.001), and to have congestive heart failure (p = 0.01) and COPD (p = 0.01). ICU patients also had higher mean pneumonia severity index scores (112 [SD, 35] vs 83 [SD, 30], respectively; p = 0.02). Patients admitted to the ICU had a longer mean length of hospital stay (12 days [SD, 10 days] vs 7 days [SD, 17 days], respectively; p = 0.07), and a higher 30-day mortality rate (23% vs 4%, respectively; p < 0.001) and 90-day mortality rate (28% vs 8%, respectively; p < 0.001) compared to ward patients. CONCLUSIONS: ICU patients present with more severe disease and more comorbidities. ICU patients stay longer in the hospital and have a much higher mortality rate when compared to ward patients. Management strategies should be designed to improve clinical outcomes in ICU patients.     

Prognosis of lung cancer patients with life-threatening complications

BACKGROUND: The management of patients with lung cancer has improved recently, and many of them will require admission to the ICU. The aims of this study were to determine hospital mortality and to identify risk factors for death in a large cohort of critically ill patients. METHODS: Cohort study in two ICUs specialized in the management of patients with cancer, in France and Brazil. RESULTS: Of the 143 patients (mean age, 61.6 +/- 9.9 years [+/- SD]), 25 patients (17%) had small cell lung cancer and 118 patients (83%) had non-small cell lung cancer. The main reasons for ICU admission were sepsis (44%) and acute respiratory failure (31%). Mechanical ventilation (MV) was used in 100 patients (70%), including 38 patients in whom lung cancer was considered a reason for MV. Hospital mortality was 59% overall and 69% in patients receiving MV. By multivariate logistic regression, airway infiltration or obstruction by cancer, number of organ failures, cancer recurrence or progression, and severity of comorbidities were associated with increased mortality. CONCLUSIONS: The improved survival previously reported in patients with cancer admitted to the ICU seems to extend to patients with lung cancer, including those who need MV. Mortality increased with the number of organ failures, severity of comorbidities, and presence of respiratory failure due to cancer progression. The type of the cancer per se was not associated with mortality and, therefore, should not be factored into ICU triage decisions.     

Transferring critically ill patients out of hospital improves the standardized mortality ratio: a simulation study

BACKGROUND: Transferring critically ill patients to other acute care hospitals may artificially impact benchmarking measures. We sought to quantify the effect of out-of-hospital transfers on the standardized mortality ratio (SMR), an outcome-based measure of ICU performance. METHODS: We performed a cohort study and Monte Carlo simulation using data from 85 ICUs participating in the acute physiology and chronic health evaluation (APACHE) clinical information system from 2002 to 2003. The SMR (observed divided by expected hospital mortality) was calculated for each ICU using APACHE IV risk adjustment. A set number of patients was randomly assigned to be transferred out alive rather than experience their original outcome. The SMR was recalculated, and the mean simulated SMR was compared to the original. RESULTS: The mean (+/- SD) baseline SMR was 1.06 +/- 0.19. In the simulation, increasing the number of transfers by 2% and 6% over baseline decreased the SMR by 0.10 +/- 0.03 and 0.14 +/- 0.03, respectively. At a 2% increase, 27 ICUs had a decrease in SMR of > 0.10, and two ICUs had a decrease in SMR of > 0.20. Transferring only one additional patient per month was enough to create a bias of > 0.1 in 27 ICUs. CONCLUSIONS: Increasing the number of acute care transfers by a small amount can significantly bias the SMR, leading to incorrect inference about ICU quality. Sensitivity to the variation in hospital discharge practices greatly limits the use of the SMR as a quality measure.     

Thrombocytopenia in a surgical ICU.

STUDY OBJECTIVES: To assess the incidence of thrombocytopenia in surgical ICU patients, the factors associated with thrombocytopenia, the outcome of thrombocytopenic patients, and the possible mechanisms involved. DESIGN: Prospective study. SETTING: An 8-bed surgical ICU in an 885-bed teaching hospital. PATIENTS: 147 consecutive patients admitted to the surgical ICU during a 6-month period. MAIN OUTCOME MEASURES: Incidence of thrombocytopenia (defined by a platelet count < 100,000/mm3), risk factors for thrombocytopenia, or death in thrombocytopenic patients identified by a stepwise logistic regression analysis, as well as the mechanisms involved. RESULTS: Thrombocytopenia occurred in 52 patients (35%) with a mortality rate of 38%, compared with a 20% mortality rate in nonthrombocytopenic patients (p = 0.02). Sepsis, episodes of bleeding or transfusions, and an acute physiology and chronic health evaluation (APACHE) II score of > 15 were the independent risk factors identified for thrombocytopenia. The correction of thrombocytopenia was a protective factor reducing the risk of mortality in thrombocytopenic patients. Disseminated intravascular coagulation was found in 40% of thrombocytopenic patients, elevated platelet-associated IgG in 33%, and hemophagocytic histiocytes in 67%. Combinations of two of these mechanisms were demonstrated in one quarter of thrombocytopenic patients. CONCLUSIONS: Sepsis was the major independent risk factor identified. Thrombocytopenic patients had a higher ICU mortality due to the severity of overall clinical status. Bone marrow examination could be diagnostic when no obvious causes are demonstrated. Thrombocytopenia probably reflects the severity and course of an underlying pathologic condition, as its correction appears to be a good prognostic factor.     

Performance characteristics of 10 home mechanical ventilators in pressure-support mode: a comparative bench study

OBJECTIVE: Inspiratory pressure (Pi) support delivered by a bilevel device has become the technique of choice for noninvasive home ventilation. Considerable progress has been made in the performance and functionality of these devices. The present bench study was designed to compare the various characteristics of 10 recently developed bilevel Pi devices under different conditions of respiratory mechanics. DESIGN: Bench model study. SETTING: Research laboratory, university hospital. MEASUREMENTS: Ventilators were connected to a lung model, the mechanics of which were set to normal, restrictive, and obstructive, that was driven by an ICU ventilator to mimic patient effort. Pressure support levels of 10 and 15 cm H(2)O, and maximum were tested, with "patient" inspiratory efforts of 5, 10, 15, 20, and 25 cm H(2)O. Tests were conducted in the absence and presence of leaks in the system. Trigger delay, trigger-associated inspiratory workload, pressurization capabilities, and cycling were analyzed. RESULTS: All devices had very short trigger delays and triggering workload. Pressurization capability varied widely among the machines, with some bilevel devices lagging behind when faced with a high inspiratory demand. Cycling was usually not synchronous with patient inspiratory time when the default settings were used, but was considerably improved by modifying cycling settings, when that option was available. CONCLUSIONS: A better knowledge of the technical performance of bilevel devices (ie, pressurization capabilities and cycling profile) may prove to be useful in choosing the machine that is best suited for a patient's respiratory mechanics and inspiratory demand. Clinical algorithms to help set cycling criteria for improving patient-ventilator synchrony and patient comfort should now be developed.     

Agreement between bedside blood and plasma glucose measurement in the ICU setting

STUDY OBJECTIVE: To assess the agreement between bedside glucose (bGlu) measurements and laboratory plasma glucose (pGlu) measurements in the ICU setting. DESIGN: Retrospective study. SETTING: ICU of a tertiary academic medical center. PATIENTS: One hundred ninety-seven patients admitted to the ICU from January through December 2002 who underwent 816 simultaneous bGlu and pGlu measurements. INTERVENTIONS: None. MEASUREMENTS AND RESULTS: To calculate the agreement between the two methods of glucose measurement, the mean difference was obtained, and the limits of the agreement were calculated as the mean difference +/- 2 SDs. On 767 occasions, the mean bGlu was 159 mg/dL and the mean pGlu was 151 mg/dL (p < 0.001). The mean difference between the two techniques was 7.9 mg/dL (SD, 17.6 mg/dL), and the limits of agreement were + 43.1 and -27.2. On 31 occasions, the bGlu was reported as > 400 mg/dL, and in these cases the mean pGlu was 423 mg/dL (range, 300 to 900 mg/dL). On 18 occasions, the bGlu was reported as < 50 mg/dL, and in these cases the mean pGlu was 66.9 mg/dL (range, 13 to 198 mg/dL). CONCLUSIONS: On average, bGlu provides a reasonable estimate for pGlu. However, for the individual patient, bGlu gives an unreliable estimate for pGlu. All of those taking care of critically ill patients should be aware of the limitations of bedside glucometry.     

Trends in end-of-life ICU use among older adults with advanced lung cancer

BACKGROUND: There is increasing concern about the appropriateness of intensive medical care near the end of life in ICUs throughout the United States. As a result of hospice expansion in the 1990s, we hypothesized that ICU use decreased over time in older adults with advanced lung cancer. METHODS: Retrospective analysis using the linked Surveillance, Epidemiology and End Results Medicare database. There were 45,627 Medicare beneficiaries > or = 66 years of age with confirmed stage IIIB or IV lung cancer between January 1, 1992, and December 31, 2002, who died within a year of their cancer diagnosis from 1993 through 2002. RESULTS: ICU use in the last 6 months of life increased from 17.5% in 1993 to 24.7% in 2002 (p < 0.001). After adjusting for patient characteristics, there was a 6.6% annual increase in ICU use from 1993 to 2002. During the same period, hospice use had risen from 28.8 to 49.9% (p < 0.001). A total of 6.2% of patients received both end-of-life ICU care and hospice care, a percentage that increased over time. The total health-care cost for Medicare fee-for-service patients during last 6 months was $40,929 for ICU users and $27,160 for non-ICU users (p < 0.001). CONCLUSION: Despite increasing hospice use, ICU utilization among older adults dying with advanced lung cancer continued to rise in the United States during the 1990s.     

Use of B-type natriuretic peptide in the risk stratification of acute exacerbations of COPD

BACKGROUND: In patients with COPD, prognosis might be determined at least in part by the extent of cardiac stress induced by hypoxia and pulmonary arterial hypertension. METHODS: B-type natriuretic peptide (BNP), a quantitative marker of cardiac stress, was determined in 208 consecutive patients presenting to the emergency department with an acute exacerbation of COPD (AECOPD). The accuracy of BNP to predict death at a 2-year follow-up was evaluated as the primary end point. The need for intensive care and in-hospital mortality were determined as secondary end points. RESULTS: BNP levels were significantly elevated during the acute exacerbation compared to recovery (65 pg/mL; interquartile range [IQR], 34 to 189 pg/mL; vs 45 pg/mL; IQR, 25 to 85 pg/mL; p < 0.001), particularly in those patients requiring ICU treatment (105 pg/mL; IQR, 66 to 553 pg/mL; vs 60 pg/mL; IQR, 31 to 169 pg/mL; p = 0.007). In multivariate Cox regression analysis, BNP accurately predicted the need for ICU care (hazard ratio, 1.13; 95% confidence interval [CI], 1.03 to 1.24 for an increase in BNP of 100 pg/mL; p = 0.008). In a receiver operating characteristic analysis to evaluate the potential of BNP levels to predict short-term and long-term mortality rates, areas under the curve were 0.55 (SD, 0.71; 95% CI, 0.41 to 0.68) and 0.56 (SD, 0.53; 95% CI, 0.45 to 0.66, respectively). CONCLUSIONS: In patients with AECOPD, BNP levels independently predict the need for intensive care. However, BNP levels failed to adequately predict short-term and long-term mortality rates in AECOPD patients.     

The association between body mass index and clinical outcomes in acute lung injury

BACKGROUND: The association between body mass index (BMI) and outcomes in critically ill patients is unclear. Our objective was to determine the association between BMI and outcomes in a population-based cohort of patients with acute lung injury (ALI). METHODS: In a prospective cohort study of all ICU patients in King County, Washington, with ALI in 1 year (1999 to 2000), 825 patients had a BMI recorded. Using multivariate analysis, patients in the abnormal BMI groups were compared to normal patients in the following areas: mortality, hospital length of stay (LOS), ICU LOS, duration of mechanical ventilation, and discharge disposition. RESULTS: There was no mortality difference in any of the abnormal BMI groups compared to normal-weight patients. Severely obese patients had longer hospital LOS than normal-weight patients (mean increase, 10.5 days; 95% confidence interval [CI], 4.8 to 16.2 days; p < 0.001); this was accentuated when analysis was restricted to survivors (mean increase, 14.3 days; 95% CI, 7.1 to 21.6 days; p < 0.001). ICU LOS and duration of mechanical ventilation were also longer in the severely obese group when analysis was restricted to survivors (mean increase, 5.6 days; 95% CI, 1.3 to 9.8 days; p = 0.01; and mean increase, 4.1 days; 95% CI, 0.4 to 7.7 days, respectively; p = 0.03). Severely obese patients were more likely to be discharged to a rehabilitation or skilled nursing facility than to home. CONCLUSIONS: BMI is not associated with mortality in patients with ALI, but severe obesity is associated with increased morbidity and resource utilization in the hospital and after discharge.     

A multidisciplinary community hospital program for early and rapid resuscitation of shock in nontrauma patients

OBJECTIVE: To determine the effect of a community hospital-wide program enabling nurses and prehospital personnel to mobilize institutional resources for the treatment of patients with nontraumatic shock. DESIGN: Historically controlled single-center study. SETTING: A 180-bed community hospital. PATIENTS: Patients in shock who were candidates for aggressive therapy. INTERVENTIONS: From January 1998 to May 31, 2000, patients in shock received standard therapy (control group). During the month of June 2000, intensive education of all health-care providers (ie, prehospital personnel, nurses, and physicians) took place. From July 1, 2000, through June 30, 2001, patients in shock (protocol group) were managed with a hospital-wide shock program. The program included early recognition of shock and the initiation of therapy by nonphysicians. Frontline personnel mobilized a shock team, which used goal-directed resuscitation protocols, early intensivist involvement, and rapid transfer to the ICU where protocols specific to shock etiology were implemented.Measurements and main results: Eighty-six and 103 patients, respectively, were enrolled in the control and protocol groups. Baseline characteristics were similar. The protocol group had significant reductions in the median times to interventions, as follows: intensivist arrival, 2:00 h to 50 min (p < 0.002); ICU/operating room admission, 2 h 47 min to 1 h 30 min (p < 0.002); 2 L fluid infused, 3 h 52 min to 1 h 45 min (p < 0.0001); and pulmonary artery catheter placement, 3 h 50 min to 2 h 10 min (p 0.02). Good outcomes (ie, discharged to home or to a rehabilitation center) were more likely in the protocol group than in the control group (p = 0.02). The hospital mortality rate was 40.7% in the control group and 28.2% in the protocol group (p = 0.035). CONCLUSION: Similar to current practice in patients who have experienced trauma or cardiac arrest, the empowerment of nonphysician providers to mobilize hospital resources for the care of patients with shock is effective. A community hospital program incorporating the education of providers, the activation of a coordinated team response, and early goal-directed therapy expedited appropriate treatment and was temporally associated with improved outcomes. Randomized multicenter trials are needed to further assess the impact of the shock program on outcomes.