The Multiple Organ Dysfunction Score as a descriptor of patient outcome in septic shock compared with two other scoring systems.

OBJECTIVE: To demonstrate if daily Multiple Organ Dysfunction scoring could describe outcome groups in septic shock better than daily Acute Physiology and Chronic Health Evaluation (APACHE) II and Organ Failure scores. DESIGN: A prospective cohort study. SETTING: A medical and surgical adult intensive care unit (ICU) at a tertiary referral center. MEASUREMENTS AND MAIN RESULTS: Daily data collection over a 14-month period was performed on 368 ICU patients, 39 of whom developed septic shock while in the ICU. These data were entered into a computer programmed to calculate APACHE II, Organ Failure, and Multiple Organ Dysfunction scores. The admission Multiple Organ Dysfunction scores for nonsurvivors and survivors of septic shock in the ICU was 6.5 +/- 2.7 and 6.6 +/- 2.8 (SD), respectively. These patients deteriorated due to the development of septic shock during their ICU stay resulting in a maximum Multiple Organ Dysfunction score of 12.2 +/- 3.7 in nonsurvivors and 9.4 +/- 2.7 in survivors (p < .05). The difference between the maximum and initial Multiple Organ Dysfunction scores (delta score) was also significantly greater in nonsurvivors than in survivors (5.6 +/- 4.7 vs. 2.8 +/- 3.0) (p < .05). There were no significant differences between the maximum and delta scores in the outcome groups using the APACHE II and Organ Failure scoring systems. These results were mirrored by 2.3 +/- 0.7 and 1.7 +/- 0.5 organ failures in nonsurvivors and survivors, respectively (p < .01). For all 368 patients, the initial and maximum Multiple Organ Dysfunction scores were 3.5 +/- 2.5 and 10.5 +/- 3.6, respectively. CONCLUSION: Maximum and delta Multiple Organ Dysfunction scores mirrored organ dysfunction and could accurately describe the outcome groups, whereas daily APACHE II and Organ Failure scores could not.     

A novel score for predicting the mortality of septic shock patients.

OBJECTIVE: To establish a prognostic scoring system for septic shock patients. DESIGN: The clinical, biological, and hemodynamic data of these patients were retrospectively explored to select variables independently associated with outcome. According to the risk of death, ratings from 0 to 2 points were attributed to each value. SETTING: Medical intensive care service of a 1,000-bed tertiary care university medical center. PATIENTS: Eighty-eight patients in septic shock in whom hemodynamic measurements were performed using pulmonary artery flotation catheters. RESULTS: Fourteen clinical, biological, and hemodynamic variables were selected and rated for each patient. A Simplified Septic Shock Score, available immediately after admission and catheterization, was established by adding the rates of these variables. The mean Simplified Septic Shock Score was 2.5 +/- 1.7 (SD) in 43 survivors and 6.5 +/- 2.3 in 45 nonsurvivors (p less than .0001). Some underlying diseases and characteristics of infections also correlated with the outcome. Further ratings from 0 to 2 points were attributed to these conditions. A Complete Septic Shock Score was calculated by adding these rates to the Simplified Septic Shock Score. The Complete Septic Shock Score had a slightly better prognostic value than the Simplified Septic Shock Score, but it could be determined only after the availability of the microbiological data. The mean Complete Septic Shock Score was 3.1 +/- 1.9 in survivors and 8.4 +/- 2.6 in nonsurvivors (p less than .0001). Both Simplified and Complete Septic Shock Scores showed better association with patient outcome than the Simplified Acute Physiology Score or the Acute Physiology and Chronic Health Evaluation (APACHE II) score. CONCLUSIONS: The Simplified and the Complete Septic Shock Scores are simple scoring systems that appear to predict the outcome of septic shock patients more accurately than general scoring systems, such as the Simplified Acute Physiology Score and APACHE II score. These septic shock scores might be useful in assessing the severity of septic shock patients.     

Epidemiology of severe sepsis in Japanese intensive care units: A prospective multicenter study

Severe sepsis is a leading cause of morbidity and mortality in the intensive care unit (ICU). We conducted a prospective multicenter study to evaluate epidemiology and outcome of severe sepsis in Japanese ICUs. The patients were registered at 15 general critical care centers in Japanese tertiary care hospitals when diagnosed as having severe sepsis. Of 14,417 patients, 624 (4.3%) were diagnosed with severe sepsis. Demographic and clinical characteristics at enrollment (Day 1), physiologic and blood variables on Days 1 and 4, and mortality were evaluated. Mean age was 69.0 years, and initial mean Acute Physiology and Chronic Health Evaluation (APACHE) II and Sequential Organ Failure Assessment (SOFA) scores were 23.4 and 8.6, respectively. The 28-day mortality was 23.1%, and overall hospital mortality was 29.5%. SOFA score and disseminated intravascular coagulation (DIC) score were consistently higher in nonsurvivors than survivors on Days 1 and 4. SOFA score, DIC score on Days 1 and 4, and hospital mortality were higher in patients with than without septic shock. SOFA score on Days 1 and 4 and hospital mortality were higher in patients with than without DIC. Logistic regression analyses showed age, presence of septic shock, DIC, and cardiovascular dysfunction at enrollment to be predictors of 28-day mortality and presence of comorbidity to be an additional predictor of hospital mortality. Presence of septic shock or DIC resulted in approximately twice the mortality of patients without each factor, whereas the presence of comorbidity may be a significant predictor of delayed mortality in severe sepsis.     

Plasma-induced endothelial oxidative stress is related to the severity of septic shock

OBJECTIVE: To estimate the capacity of plasma from septic shock patients to induce in vitro reactive oxygen species (ROS) production by endothelial cells and to analyze whether ROS production is related to the severity of the septic shock. DESIGN: Prospective, observational study. SETTING: Medical intensive care unit in a university hospital. PATIENTS: Twenty-one patients with septic shock. INTERVENTIONS: The in vitro capacity of plasma from septic shock patients to induce ROS production by naive human umbilical vein endothelial cells (HUVEC) was quantified by using a fluorescent probe (2',7'-dichlorodihydrofluorescein diacetate). MEASUREMENTS AND MAIN RESULTS: Blood samples were collected on day 1, day 3, and day 5 from 21 consecutive septic shock adult patients and from ten healthy volunteers. Patients mean age was 58 yrs old, mean Sequential Organ Failure Assessment (SOFA) score at admission was 12, mean severity illness assessed by Simplified Acute Physiology Score (SAPS) II was 53, and the mortality rate was 47%. In addition to assessment of in vitro ROS generation by HUVEC, oxidative stress in blood was evaluated by measuring lipid peroxidation products and enzymatic and nonenzymatic antioxidants. Septic shock was associated with oxidative stress and an imbalance in antioxidant status. As compared with controls, plasma-induced ROS production by naive HUVEC was significantly higher in septic shock. Moreover ROS production was significantly correlated with SAPS II (p = .028) and SOFA values (p = .0012) and was higher in nonsurvivors than in survivors. In contrast, no correlation was found between the severity of the septic shock and any of the levels of lipid peroxidation products or enzymatic and nonenzymatic antioxidants. CONCLUSION: Plasma from septic shock patients induces ROS formation by naive HUVEC, and the extent of ROS formation correlates with mortality and with criteria of the severity of septic shock as SOFA score and SAPS II.     

Evaluation of an interdisciplinary data set for national intensive care unit assessment.

OBJECTIVES: To evaluate the ability of an interdisciplinary data set (recently defined by the Austrian Working Group for the Standardization of a Documentation System for Intensive Care [ASDI]) to assess intensive care units (ICUs) by means of the Simplified Acute Physiology Score II (SAPS II) for the severity of illness and the simplified Therapeutic Intervention Scoring System (TISS-28) for the level of provided care. DESIGN: A prospective, multicentric study. SETTING: Nine adult medical, surgical, and mixed ICUs in Austria. PATIENTS: A total of 1234 patients consecutively admitted to the ICUs. INTERVENTIONS: Collection of data for the ASDI data set. MEASUREMENTS AND MAIN RESULTS: The overall mean SAPS II score was 33.1+/-2.1 points. SAPS II overestimated hospital mortality by predicting mortality of 22.2%+/-2.9%, whereas observed mortality was only 16.8%+/-2.2%. The Hosmer-Lemeshow goodness-of-fit test for SAPS II scores showed lacking uniformity of fit (H = 53.78, 8 degrees of freedom; p < .0001). TISS-28 scores were recorded on 8616 days (30.6+/-1.5 points). TISS-28 scores were higher in nonsurvivors than in survivors (30.4+/-0.9 vs. 25.7+/-0.4, respectively; p < .05). No significant correlation between mean TISS-28 per patient per unit on the day of admission and mean predicted hospital mortality (r2 = .23; p < .54) or standardized mortality ratio per unit (r2 = -.22; p < .56) was found. CONCLUSIONS: Implementation of an interdisciplinary data set for ICUs provided data with which to evaluate performance in terms of severity of illness and provided care. The SAPS II did not accurately predict outcomes in Austrian ICUs and must, therefore, be customized for this population. A combination of indicators for both severity of illness and amount of provided care is necessary to evaluate ICU performance. Further data acquisition is needed to customize the SAPS II and to validate the TISS-28.     

Rating the quality of intensive care units: is it a function of the intensive care unit scoring system?

OBJECTIVE: Intensive care units (ICUs) use severity-adjusted mortality measures such as the standardized mortality ratio to benchmark their performance. Prognostic scoring systems such as Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score II, and Mortality Probability Model II0 permit performance-based comparisons of ICUs by adjusting for severity of disease and case mix. Whether different risk-adjustment methods agree on the identity of ICU quality outliers within a single database has not been previously investigated. The objective of this study was to determine whether the identity of ICU quality outliers depends on the ICU scoring system used to calculate the standardized mortality ratio. DESIGN, SETTING, PATIENTS: Retrospective cohort study of 16,604 patients from 32 hospitals based on the outcomes database (Project IMPACT) created by the Society of Critical Care Medicine. The ICUs were a mixture of medical, surgical, and mixed medical-surgical ICUs in urban and nonurban settings. Standardized mortality ratios for each ICU were calculated using APACHE II, Simplified Acute Physiology Score II, and Mortality Probability Model II. ICU quality outliers were defined as ICUs whose standardized mortality ratio was statistically different from 1. Kappa analysis was used to determine the extent of agreement between the scoring systems on the identity of hospital quality outliers. The intraclass correlation coefficient was calculated to estimate the reliability of standardized mortality ratios obtained using the three risk-adjustment methods. MEASUREMENTS AND MAIN RESULTS: Kappa analysis showed fair to moderate agreement among the three scoring systems in identifying ICU quality outliers; the intraclass correlation coefficient suggested moderate to substantial agreement between the scoring systems. The majority of ICUs were classified as high-performance ICUs by all three scoring systems. All three scoring systems exhibited good discrimination and poor calibration in this data set. CONCLUSION: APACHE II, Simplified Acute Physiology Score II, and Mortality Probability Model II0 exhibit fair to moderate agreement in identifying quality outliers. However, the finding that most ICUs in this database were judged to be high-performing units limits the usefulness of these models in their present form for benchmarking.     

Amino acid alterations and encephalopathy in the sepsis syndrome

OBJECTIVE: To evaluate the role of amino acid profiles in septic encephalopathy. DESIGN: Retrospective analysis. SETTING: Medical wards and medical ICU of a university hospital. PATIENTS: Patients with infections and normal mental status were compared with patients with septic shock and altered sensorium. INTERVENTIONS: Plasma amino acid levels and Acute Physiology and Chronic Health Evaluation (APACHE II) scores were determined. MEASUREMENTS AND MAIN RESULTS: Patients with septic shock and altered sensorium had higher circulating concentrations of ammonia (425 +/- 55 vs. 127 +/- 7 mmol/L) and the aromatic amino acids phenylalanine (122 +/- 19 vs. 74 +/- 3 mmol/L) and tryptophan (97 +/- 7 vs. 32 +/- 13 mmol/L), and lower levels of the branch-chain amino acid isoleucine (48 +/- 7 vs. 68 +/- 5 mmol/L) than patients with infections and normal sensorium (p less than .05). Aromatic amino acid levels correlated with APACHE II scores (R2 = .4, p less than .001) and mortality. APACHE II scores were higher in the septic shock patients (30 +/- 2 vs. 8 +/- 1, p less than .001), and these patients had a higher mortality rate (71% vs. 12%, p less than .01). Patients with septic shock who died had higher levels of ammonia (524 +/- 58 vs. 227 +/- 40 mmol/L, p less than .05) and sulfur-containing amino acids (172 +/- 31 vs. 61 +/- 7 mmol/L, p less than .05) than patients who survived. CONCLUSIONS: Plasma amino acid profiles appear to be important in septic encephalopathy and the severity of septic disease.     

Severity scores in respiratory intensive care: APACHE II predicted mortality better than SAPS II

BACKGROUND: In recent years several scoring systems have been developed to describe the severity of illness, to establish the individual prognosis, and to group adult ICU patients by predicted risk of mortality. In addition, these scores can be used to measure and/or compare the quality of care in different ICUs. We compared the mortality predictions of the Acute Physiology and Chronic Health Evaluation (APACHE II) score and a new Simplified Acute Physiology Score (SAPS II) in patients with respiratory disease who require intensive care. PATIENTS & METHODS: We prospectively studied all 306 admissions from January 1, 1992 through December 31, 1994. McNemar and Hosmer-Lemeshow tests, and receiver operating characteristic (ROC) curves were used to describe and analyze our data. RESULTS: The average APACHE II score was 17.5 (SD 6.0), corresponding to a mean predicted death rate of 24.9% (SD 17.2%) as compared to an observed overall RICU mortality rate of 21.6%. The average SAPS II score was 39.1 (SD 11.1) corresponding to a mean predicted death rate of 26.0% (SD 18.4%). The ratio between the actual and predicted hospital mortality was 86% for APACHE II and 83% for SAPS II. Survivors had a significantly lower predicted risk of death than nonsurvivors (p < 0.0001) with both indices, and a higher Glasgow coma scale score (p < 0.0001). The ROC-curve analysis suggested the superior predictive ability of APACHE II in our patients. Area under the APACHE II ROC curve was 80.88% (standard error [SE] 2.89%), significantly larger (p < 0.01) than that found for SAPS II (73.52%, SE 3.61%). CONCLUSIONS: The APACHE II score was a good predictor of hospital outcome and better than SAPS II in our population.     

Critical Care in the Emergency Department A Physiologic Assessment and Outcome Evaluation

OBJECTIVES: The changing landscape of health care in this country has seen an increase in the delivery of care to critically ill patients in the emergency department (ED). However, methodologies to assess care and outcomes similar to those used in the intensive care unit (ICU) are currently lacking in this setting. This study examined the impact of ED intervention on morbidity and mortality using the Acute Physiology and Chronic Health Evaluation (APACHE II), the Simplified Acute Physiology Score (SAPS II), and the Multiple Organ Dysfunction Score (MODS). METHODS: This was a prospective, observational cohort study over a three-month period. Critically ill adult patients presenting to a large urban ED and requiring ICU admission were enrolled. APACHE II, SAPS II, and MODS scores and predicted mortality were obtained at ED admission, ED discharge, and 24, 48, and 72 hours in the ICU. In-hospital mortality was recorded. RESULTS: Eighty-one patients aged 64 +/- 18 years were enrolled during the study period, with a 30.9% in-hospital mortality. The ED length of stay was 5.9 +/- 2.7 hours and the hospital length of stay was 12.2 +/- 16.6 days. Nine (11.1%) patients initially accepted for ICU admission were later admitted to the general ward after ED intervention. Septic shock was the predominant admitting diagnosis. At ED admission, there was a significantly higher APACHE II score in nonsurvivors (23.0 +/- 6.0) vs survivors (19.8 +/- 6.5, p = 0.04), while there was no significant difference in SAPS II or MODS scores. The APACHE II, SAPS II, and MODS scores were significantly lower in survivors than nonsurvivors throughout the hospital stay (p 相似文献   

Study of clinical course of organ dysfunction in intensive care

OBJECTIVE: Multiple organ dysfunction is a common cause of death in intensive care units. We describe the daily course of multiple organ dysfunction measured by the Sequential Organ Failure Assessment score in a population-based cohort of critically ill patients. DESIGN: Prospective cohort study. SETTING: Adult multisystem intensive care units in the Calgary Health Region. PATIENTS: A total of 1,436 patients admitted from May 1, 2000 to April 30, 2001. MEASUREMENTS: Temporal change in Sequential Organ Failure Assessment score. INTERVENTIONS: None; observational study. MAIN RESULTS: The mean age was 58 yrs (range, 14-100). The mean +/- sd intensive care unit admission Acute Physiology and Chronic Health Evaluation II score was 25 +/- 9. The median intensive care unit length of stay was 4 days (interquartile range, 2-8), and the median hospital length of stay was 15 days (interquartile range, 7-32). A total of 20.5% of patients were infected at admission, and 26.0% were immediately postoperative. Intensive care unit mortality was 27.0%, and hospital mortality was 35.1%. The daily Sequential Organ Failure Assessment score was significantly higher in nonsurvivors than survivors. A population-averaged model determined a mean rate of change of Sequential Organ Failure Assessment score to be -0.29 per day (95% confidence interval, -0.32 to -0.25) for survivors and -0.03 per day (95% confidence interval, -0.08 to 0.03) for nonsurvivors (overall regression, p <.0001). Patients with infection had higher admission Sequential Organ Failure Assessment scores compared with patients without infection (difference, 1.8; p <.001), but a similar rate of daily change. CONCLUSIONS: Multiple organ dysfunction, does not follow a course of progressive and sequential failure. Evidence of differential daily change should further inform the use of organ failure scores as surrogate outcomes in clinical trials.     

Relative adrenal insufficiency as a predictor of disease severity, mortality, and beneficial effects of corticosteroid treatment in septic shock

OBJECTIVE: To evaluate the concept of relative adrenal insufficiency necessitating corticosteroid therapy in septic shock. DESIGN: Retrospective study. SETTING: Medical-surgical intensive care unit of a university hospital. PATIENTS: We studied 218 consecutive patients with septic shock in a 3-yr period who underwent a short 250-microg adrenocorticotropic hormone test because of >6 hrs of hypotension requiring repeated fluid challenges and/or vasopressor/inotropic treatment. INTERVENTIONS: The test was performed by intravenously injecting 250 mug of synthetic adrenocorticotropic hormone and measuring cortisol immediately before and 30 and 60 mins postinjection. MEASUREMENTS AND MAIN RESULTS: Intensive care unit mortality until day 28 was 22%. Nonsurvivors had greater disease severity, as exemplified by higher Simplified Acute Physiology Score II and Sequential Organ Failure Assessment score, on the day of adrenocorticotropic hormone testing. Cortisol levels directly correlated with albumin levels. Simplified Acute Physiology Score II and Sequential Organ Failure Assessment score increased with higher strata of baseline cortisol/albumin or lower cortisol increases/albumin ratios as measures of free cortisol. Baseline cortisol, cortisol increases, and albumin levels did not independently contribute to mortality prediction by disease severity and absence of corticosteroid (hydrocortisone) treatment in a Cox proportional hazard model, although adrenocorticotropic hormone-induced cortisol increase <100 nmol/L (n = 53) predicted mortality (p = .007). Posttest treatment by corticosteroids (n = 161, 74%) was associated with higher survival in patients with cortisol increase <100 nmol/L (p = .0296). CONCLUSIONS: In intensive care unit patients with septic shock, the cortisol response to adrenocorticotropic hormone inversely relates to disease severity, independent of blood cortisol binding. An adrenocorticotropic hormone-induced cortisol increase <100 nmol/L predicts mortality and beneficial effects of corticosteroid treatment. The data favor relative adrenal insufficiency.     

New disseminated intravascular coagulation score: A useful tool to predict mortality in comparison with Acute Physiology and Chronic Health Evaluation II and Logistic Organ Dysfunction scores

OBJECTIVE: To compare the performance of a coagulation score-the new scoring system for diagnosing disseminated intravascular coagulation (DIC)-with the Acute Physiology and Chronic Health Evaluation (APACHE) II and Logistic Organ Dysfunction score in mortality prediction. DESIGN: Single-center retrospective study. SETTING: Medical intensive care unit of the University of Munich. PATIENTS: A total of 797 patients admitted to the intensive care unit between January 1, 1996, and January 1, 2001. METHODS: A retrospective analysis of all patients was done if the coagulation variables d-dimer, platelet count, fibrinogen, and prothrombin index were available within the first 12 hrs after admission. Patients with missing values, fibrinolytic therapy, or unknown survival status were excluded from analysis. As a marker of fibrin generation, d-dimer was measured and integrated into the scoring system for DIC together with prothrombin time, fibrinogen, and platelet count. A coagulation score was calculated in analogy with the scoring system for DIC in patients not typically developing DIC. MEASUREMENTS AND RESULTS: Overall, the mean result of the scoring system for DIC was 2.2 points. An increasing scoring system for DIC was associated with increasing mortality in patients with serious infections. Use of the scoring system for DIC in addition to the APACHE II score helps to predict mortality better than the APACHE II score alone, especially in patients with infections. The Cox regression analysis showed that the DIC and APACHE II scores correlated independently with survival time with a greater effect of the DIC score than the APACHE II or the Logistic Organ Dysfunction score. Similar results were obtained using the coagulation score in patients with cardiocirculatory diseases. CONCLUSION: Our retrospective data suggest that a combination of the APACHE II score and the scoring system for DIC predicts mortality in critically ill patients with available variables better than the APACHE II score alone. This effect is most pronounced among patients with active infection. These results of our retrospective analysis have to be confirmed in a prospective study.     

Assessment of the performance of five intensive care scoring models within a large Scottish database

OBJECTIVE: To assess and compare the performance of five severity of illness scoring systems used commonly for intensive care unit (ICU) patients in the United Kingdom. The five models analyzed were versions II and III of the Acute Physiology and Chronic Health Evaluation (APACHE) system, a version of APACHE II using United Kingdom (UK)-derived coefficients (UK APACHE II), version II of the Simplified Acute Physiology Score (SAPS), and version II of the Mortality Probability Model, computed at admission (MPM0) and after 24 hrs in the ICU (MPM24). DESIGN: A 2-yr prospective cohort study of consecutive admissions to intensive care units. SETTING: A total of 22 general ICUs in Scotland PATIENTS: A total of 13,291 admissions to the study, which after prospectively agreed exclusions left a total of 10,393 patients for the analysis. OUTCOME MEASURES: Death or survival at hospital discharge. MEASUREMENTS AND MAIN RESULTS: All the models showed reasonable discrimination using the area under the receiver operating characteristic curve (APACHE III, 0.845; APACHE II, 0.805; UKAPACHE II, 0.809; SAPS II, 0.843; MPM0, 0.785; MPM24, 0.799). The levels of observed mortality were significantly different than that predicted by all models, using the Hosmer-Lemeshow goodness-of-fit C test (p < .001), with the results of the test being confirmed by calibration curves. When excluding patients discharged in the first 24 hrs to allow for comparisons using the same patient group, APACHE III, MPM24, and SAPS II (APACHE III, 0.795; MPM24, 0.791; SAPS II, 0.784) showed significantly better discrimination than APACHE II, UK APACHE II, and MPM0 (APACHE II, 0.763; UK APACHE II, 0.756; MPM0, 0.741). However, calibration changed little for all models with observed mortality still significantly different from that predicted by the scoring systems (p < .001). For equivalent data sets, APACHE II demonstrated superior calibration to all the models using the chi-squared value from the Hosmer-Lemeshow test for both populations (APACHE III, 366; APACHE II, 67; UKAPACHE II, 237; SAPS II, 142; MPM0, 452; MPM24, 101). CONCLUSIONS: SAPS II demonstrated the best overall performance, but the superior calibration of APACHE II makes it the most appropriate model for comparisons of mortality rates in different ICUs. The significance of the Hosmer-Lemeshow C test in all the models suggest that new logistic regression coefficients should be generated and the systems retested before they could be used with confidence in Scottish ICUs.     

Arterial lactate improves the prognostic performance of severity score systems in septic patients in the ED

Objective

To evaluate the prognostic performance of lactate in septic patients in the emergency department (ED) and investigate how to add lactate to the traditional score systems.

Methods

This was a single-centered, prospective, observational cohort study conducted in ED of Beijing Chao-Yang Hospital. The study enrolled adult septic patients admitted to the ED. Arterial lactate was measured in every patient. Acute Physiology and Chronic Health Evaluation (APACHE) II, Sequential Organ Failure Assessment (SOFA), and Mortality in Emergency Department Sepsis (MEDS) scores were calculated on ED arrival. The primary outcome was 28-day mortality.

Results

The average levels of lactate, MEDS, APACHE II, and SOFA were much higher in nonsurvivors than in survivors (P < .001), and they were the independent predictors of 28-day mortality. Area under receiver operating characteristic (AUC) curves of MEDS, APACHE II, SOFA, and lactate were 0.74, 0.74, 0.75, and 0.79, respectively. The AUCs of combination lactate and MEDS, APACHE II, and SOFA were 0.81, 0.81, and 0.82, respectively and were much higher than that of score systems alone (P < .05). The AUCs of modified MEDS, APACHE II, and SOFA were 0.80, 0.80, and 0.81, respectively. The prognostic value of the modified score systems was superior to the original score systems and similar to the combination of the lactate and original score systems.

Conclusions

Lactate is a prognostic predictor in septic patients in the ED, and it may improve the performance of APACHE II, SOFA, and MEDS scores in predicting mortality.     

Comparison of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) scoring systems in a single Greek intensive care unit

OBJECTIVE: To evaluate Acute Physiology and Chronic Health Evaluation (APACHE) II and Simplified Acute Physiology Score (SAPS) II scoring systems in a single intensive care unit (ICU), independent from the ICUs of the developmental sample; and to compare the performance of APACHE II and SAPS II by means of statistical analyses in such a clinical setting. DESIGN: Prospective, cohort study. SETTING: A single ICU in a Greek university hospital. PATIENTS: In a time interval of 5 yrs, data for 681 patients admitted to our ICU were collected. The original exclusion criteria of both systems were employed. Patients <17 yrs of age were dropped from the study to keep compatibility with both systems. Eventually, a total of 661 patients were included in the analysis. INTERVENTIONS: Demographics, clinical parameters essential for the calculation of APACHE II and SAPS II scores, and risk of hospital death were recorded. Patient vital status was followed up to hospital discharge. MEASUREMENTS AND MAIN RESULTS: Both systems showed poor calibration and underestimated mortality but had good discriminative power, with SAPS II performing better than APACHE II. The evaluation of uniformity of fit in various subgroups for both systems confirmed the pattern of underprediction of mortality from both models and the better performance of APACHE II over our data sample. CONCLUSIONS: APACHE II and SAPS II failed to predict mortality in a population sample other than the one used for their development. APACHE II performed better than SAPS II. Validation in such a population is essential. Because there is a great variation in clinical and other patient characteristics among ICUs, it is doubtful that one system can be validated in all types of populations to be used for comparisons among different ICUs.     

Plasma granulocyte colony-stimulating factor and granulocyte-macrophage colony-stimulating factor levels in critical illness including sepsis and septic shock: relation to disease severity, multiple organ dysfunction, and mortality

OBJECTIVE: To define the circulating levels of granulocyte colony-stimulating factor (G-CSF) and granulocyte-macrophage colony-stimulating factor (GM-CSF) during critical illness and to determine their relationship to the severity of illness as measured by the Acute Physiology and Chronic Health Evaluation (APACHE) II score, the development of multiple organ dysfunction, or mortality. DESIGN: Prospective cohort study. SETTING: University hospital intensive care unit. PATIENTS: A total of 82 critically ill adult patients in four clinically defined groups, namely septic shock (n = 29), sepsis without shock (n = 17), shock without sepsis (n = 22), and nonseptic, nonshock controls (n = 14). INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: During day 1 of septic shock, peak plasma levels of G-CSF, interleukin (IL)-6, and leukemia inhibitory factor (LIF), but not GM-CSF, were greater than in sepsis or shock alone (p < .001), and were correlated among themselves (rs = 0.44-0.77; p < .02) and with the APACHE II score (rs = 0.25-0.40; p = .03 to .18). G-CSF, IL-6, and UF, and sepsis, shock, septic shock, and APACHE II scores were strongly associated with organ dysfunction or 5-day mortality by univariate analysis. However, multiple logistic regression analysis showed that only septic shock remained significantly associated with organ dysfunction and only APACHE II scores and shock with 5-day mortality. Similarly, peak G-CSF, IL-6, and LIF were poorly predictive of 30-day mortality. CONCLUSIONS: Plasma levels of G-CSF, IL-6, and LIF are greatly elevated in critical illness, including septic shock, and are correlated with one another and with the severity of illness. However, they are not independently predictive of mortality, or the development of multiple organ dysfunction. GM-CSF was rarely elevated, suggesting different roles for G-CSF and GM-CSF in human septic shock.     

Intestinal platelet trapping after traumatic and septic shock. An early sign of sepsis and multiorgan failure in critically ill patients?

OBJECTIVES: Patients resuscitated after severe traumatic or septic shock were studied with reference to the behavior of radiolabeled platelets in vital organs, the occurrence of sepsis, and multiorgan failure. These findings were compared with findings of patients who had sustained severe head trauma, but had reportedly not been in shock. DESIGN: Prospective, clinical trial of consecutive patients. SETTING: Multidisciplinary ICU. PATIENTS: Thirteen critically ill patients who were considered at high risk for developing multiorgan failure. These patients had all been resuscitated after major trauma (Injury Severity Score 50.2 +/- 7.2) or severe septic shock (group A, Acute Physiology and Chronic Health Evaluation [APACHE II] score 21.7 +/- 4.4). For comparison, six patients with head trauma, who were considered at low risk for multiorgan failure were studied (group B, Injury Severity Score 26.0 +/- 5.1 and APACHE II score 12.3 +/- 2.4). MEASUREMENTS: Platelet trapping was studied in multiple organs by external detection of platelets labeled with 111indium-oxine. Measurements were started on the third day and continued for seven consecutive days or until death. RESULTS: Eight of 13 patients in group A developed sepsis and multiorgan failure and six of these eight patients died 8 to 29 days after the initial insult. No patient in group B developed multiorgan failure, and all survived. The patients in group A had significant increases in platelet trapping in the liver and the lungs, but the increase was significantly (p less than .01) greater in the nonsurvivors than in the survivors. All the nonsurvivors had markedly increased platelets sequestration in the intestine (less than 10 times the activity in blood), but none of the survivors had increased platelet sequestration in the intestine (p less than .01). This increase was recorded 1 to 4 days before the first clinical signs of sepsis and 3 to 7 days before the development of multiorgan failure. No patient in group B had increased activity in the liver or in the intestine, and only one patient had a slight increase in the lung. CONCLUSIONS: The results indicate that, in patients resuscitated after severe traumatic or septic shock, increased sequestration of platelets in the intestine, as measured by external detection of radioisotope-labeled autologous platelets, may precede clinical signs of sepsis and multiorgan failure and may possibly predict the outcome.     

Does dopamine administration in shock influence outcome? Results of the Sepsis Occurrence in Acutely Ill Patients (SOAP) Study

OBJECTIVE: The optimal adrenergic support in shock is controversial. We investigated whether dopamine administration influences the outcome from shock. DESIGN: Cohort, multiple-center, observational study. SETTING: One hundred and ninety-eight European intensive care units. PATIENTS: All adult patients admitted to a participating intensive care unit between May 1 and May 15, 2002. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients were followed up until death, until hospital discharge, or for 60 days. Shock was defined as hemodynamic compromise necessitating the administration of vasopressor catecholamines. Of 3,147 patients, 1,058 (33.6%) had shock at any time; 462 (14.7%) had septic shock. The intensive care unit mortality rate for shock was 38.3% and 47.4% for septic shock. Of patients in shock, 375 (35.4%) received dopamine (dopamine group) and 683 (64.6%) never received dopamine. Age, gender, Simplified Acute Physiology Score II, and Sequential Organ Failure Assessment score were comparable between the two groups. The dopamine group had higher intensive care unit (42.9% vs. 35.7%, p=.02) and hospital (49.9% vs. 41.7%, p=.01) mortality rates. A Kaplan-Meier survival curve showed diminished 30 day-survival in the dopamine group (log rank=4.6, p=.032). In a multivariate analysis with intensive care unit outcome as the dependent factor, age, cancer, medical admissions, higher mean Sequential Organ Failure Assessment score, higher mean fluid balance, and dopamine administration were independent risk factors for intensive care unit mortality in patients with shock. CONCLUSIONS: This observational study suggests that dopamine administration may be associated with increased mortality rates in shock. There is a need for a prospective study comparing dopamine with other catecholamines in the management of circulatory shock.     

Total plasma sulfide as a marker of shock severity in nonsurgical adult patients

Previous animal and human studies have suggested that total plasma sulfide plays a role in the pathophysiology of shock. This study's aim was to determine the value of total plasma sulfide as a marker of shock severity in nonsurgical adult patients admitted to the ICU. Forty-one patients, with various types of shock (septic, cardiogenic, obstructive, and hypovolemic), were included in the study, with an average total plasma sulfide concentration of 23.2 ± 26.3 μM. Survivors (of shock) had lower total plasma sulfide concentrations than nonsurvivors (13.0 ± 26.3 vs. 31.9 ± 31.5 μM; P = 0.02). Total plasma sulfide correlated with dose of administered norepinephrine (R linear = 0.829; P = 0.001) and with Acute Physiology and Chronic Health Evaluation II (APACHE II) score (R cubic = 0.767; P = 0.001). Area under the receiver operating characteristic for total plasma sulfide as a predictor of ICU mortality was 0.739 (confidence interval, 0.587-0.892; P = 0.009). Even after correcting for APACHE II score and lactate values, total plasma sulfide correlated with mortality (odds ratio, 1.058; 95% confidence interval, 1.001-1.118; P = 0.045). The study provides evidence that, in nonsurgical adult ICU patients admitted because of any type of shock, total plasma sulfide correlates with administered norepinephrine dose at admission, severity of disease (APACHE II score ≥30 points), and survival outcome.     

What's in a day? Determining intensive care unit length of stay

OBJECTIVE: Intensive care unit (ICU) length of stay (LOS) and hospital LOS are common indices used to compare performance of hospitals and are yardsticks used in efforts to contain costs, yet there is no standardized method of quantitating this outcome variable. Attempts have been made to correct LOS according to disease severity. The aim of this study was to quantify and compare ICU LOS using four commonly used methods and to determine the relationship between severity of illness at admission as determined by the Acute Physiology and Chronic Health Evaluation (APACHE) II and APACHE III scoring systems and LOS. DESIGN: Prospective, cohort study. SETTING: Medical and surgical ICUs of a community teaching hospital. MEASUREMENTS AND MAIN RESULTS: The demographic and clinical data of all patients admitted to the medical ICU and the surgical ICU during a 6-month period were recorded and stored in a computerized database. Coronary care unit boarders and cardiothoracic patients were excluded from analysis. The date and exact time of all admissions and discharges were abstracted from the patients' flowcharts and nurses' notes. The ICU LOS of all patients was calculated using four common methods: a) number of calendar days (LOS-calendar); b) midnight bed-occupancy days (LOS-midnight); c) exact LOS calculated in hours divided by 24 (LOS-exact); and d) the method described by Pollack and Ruttimann (LOS-Pollack). There were 1,004 admissions during the study period; of these, 254 were excluded from analysis (65 coronary care unit boarders and 189 cardiothoracic patients). Of the remaining 750 admissions, 391 were medical ICU patients and 359 were surgical ICU patients. Mean age was 64 +/- 18 yrs, with 420 (56%) male patients. The LOS-calendar differed significantly from the other three methods (p = .001). The LOS-midnight most closely approximated the LOS-exact. The mean (+/- SD) LOS-exact for the entire cohort of patients was 2.8 +/- 3.9 days, with a geometric mean of 1.6 days and a median of 1.4 days. An analysis of the data distribution showed many outliers with the plot markedly skewed to the right. Log transformation of the LOS-exact revealed a normal distribution. The APACHE II and APACHE III scores were significantly higher and the LOS-exact was nonsignificantly higher in the nonsurvivors. There was a poor correlation among the LOS-exact, log LOS-exact, LOS-exact of survivors, and LOS-exact below upper 95th percentile with the APACHE II and APACHE III scores. CONCLUSION: We suggest that the LOS-midnight be used to record LOS when a hospital/ICU information system is unable to calculate the exact LOS in hours. Furthermore, because the LOS distribution is highly skewed, the geometric mean and median should be reported. Although APACHE II and APACHE III scores are predictive of group outcomes, they should not be used to predict or adjust for LOS.