Characteristics associated with analgesia ordering in the intensive care unit and relationships with outcome

OBJECTIVE: To describe clinical characteristics associated with analgesia utilization in the intensive care unit. DESIGN: A prospective cohort study of adult patients admitted to a medical intensive care unit. SUBJECTS: Four hundred adult patients. SETTING: Twelve-bed medical intensive care unit of an inner-city, university-affiliated hospital. MEASUREMENTS AND MAIN RESULTS: Collected data included demographics, sedation and neuromuscular blocking agents used, mechanical ventilation, hemodynamic monitoring, Therapeutic Intervention Scoring System score, Logistic Organ Dysfunction System (LODS) score, and Acute Physiology and Chronic Health Evaluation (APACHE) II score. Hospital outcome was noted. The odds ratio and 95% confidence intervals were determined by using multiple logistic regression analyses. Patients' mean age (+/-sd) was 47.8 +/- 17.1 yrs; 58% were male, 84% African-American. Their APACHE II-predicted hospital mortality rate was 33%. Analgesics were used in 36% of patients. There were no differences in demographics, initial LODS score, APACHE II score, and mechanical ventilation use between patients who did and did not receive analgesics. Multiple logistic regression analysis showed that analgesic use was independently associated with sedation (odds ratio, 2.47; 95% confidence interval, 1.47-4.14), neuromuscular blockade (odds ratio, 4.98; 95% confidence interval, 1.85-13.41), and pulmonary artery flotation catheter utilization (odds ratio, 2.31; 95% confidence interval, 1.27-4.20). The median duration of mechanical ventilation was 5 days for those who received analgesia compared with 2 for those who did not (p =.0001). The median length of stay in the intensive care unit (4 vs. 2, p <.0001) and hospital (11 vs. 7, p <.0001) was higher in patients who received analgesics. There were no significant differences in intensive care unit and hospital mortality rates between patients who did and did not receive analgesics. CONCLUSIONS: Intensive care unit patients for whom analgesics were prescribed have a higher frequency of hemodynamic monitoring and use of sedative and neuromuscular blocking agents, more mechanical ventilation days, and longer intensive care unit and hospital lengths of stay.     

Mortality prediction at admission to intensive care: a comparison of microalbuminuria with acute physiology scores after 24 hours

OBJECTIVE: To compare low level albumin excretion (microalbuminuria), a marker of systemic capillary permeability, with mortality, Acute Physiologic And Chronic Health Evaluation (APACHE II) score, the Simplified Acute Physiologic (SAP II) score, and their derived mortality probabilities in patients admitted to a general intensive care unit. DESIGN: Prospective observational study. SETTING: A 14-bed intensive care unit in a university teaching hospital. PATIENTS: A total of 140 consecutive patients (59 surgical, 48 medical, 22 trauma, and 11 burns). INTERVENTIONS: Urine collection within 15 mins of intensive care unit admission for assessment of microalbuminuria. MEASUREMENTS AND MAIN RESULTS: Microalbuminuria, expressed as the albumin-creatinine ratio (ACR: normal, <2.3 mg/mmol), was compared with mortality, APACHE II and SAP II scores and their derived mortality probabilities after 24 hrs, intensive care unit stay, and markers of organ function and inflammation. Median (95% confidence interval) ACR at admission for survivors (n = 115) and nonsurvivors (n = 25) were 4.2 (3.6-6.5) and 17.8 (8.0-40.8) mg/mmol, respectively (p =.0002 Mann Whitney). For 92 surgical, trauma, and burn patients, of whom 81 survived, ACR of >5.9 mg/mmol gave a sensitivity for death of 100%, specificity of 59%, positive predictive value of 25%, and negative predictive value of 100%. Mortality probability receiver operator characteristic curve areas for ACR, APACHE II, and SAP II were 0.843 (p <.0001), 0.793 (p =.0004), and 0.770 (p =.0017), respectively. ACR was associated with intensive care unit stay (p =.0021) and highest serum C-reactive protein (p =.0002), serum creatinine (p <.0001), and bilirubin (p =.0009). For 48 medical patients, of whom 34 survived, admission ACRs for survivors and nonsurvivors were 8.3 (5.7-10.8) and 10.7 (4.1-48.2) mg/mmol, respectively (p =.32). SAP II, but not APACHE II, score was significantly higher for nonsurvivors. CONCLUSIONS: For surgical, trauma, and burn patients, but not medical patients, microalbuminuria within 15 mins of intensive care unit admission predicted death as well as APACHE II and SAP II scores calculated after 24 hrs, and it shows promise as a predictor of outcome.     

Dehydroepiandrosterone, dehydroepiandrosterone-sulfate, and cortisol concentrations in intensive care unit patients

STUDY OBJECTIVE: This purpose of this study was to determine whether severity of illness, as defined by the intensive care unit (ICU) admission APACHE II (updated Acute Physiology and Chronic Health Evaluation) score, is correlated with early morning cortisol, dehydroepiandrosterone (DHEA), and/or dehydroepiandrosterone-sulfate (DHEA-S) concentrations. DESIGN: Early morning concentrations of DHEA, DHEA-S, and cortisol were determined within 24 hrs of admission and compared with admission APACHE II scores. SETTING: Medical (MICU), neurologic (NICU), and surgical (SICU) intensive care units of the University of Pittsburgh Medical Center. PATIENTS: A total of 191 men and women ranging in age from 16 to 93 yrs. All had been admitted to an ICU. MEASUREMENTS AND MAIN RESULTS: Statistically significant correlations between APACHE II scores and cortisol were observed for women in the MICU and SICU (r = .68, p = .0001; r = .35 p = .017, respectively) and for men in the NICU (r = .55, p = .003) and the SICU (r = .29, p = .036). The correlations between APACHE II scores and DHEA concentration data were statistically significant for women in the MICU (r = .37, p = .047) and SICU (r = .43, p = .002), as was the correlation between APACHE II and DHEA-S concentrations among women in the SICU (r = .38, p = .008). Although not statistically significant, a similar relationship was observed in the smaller group of NICU women (r = .40, p = .099). Each correlation was essentially unchanged when adjusted for age. CONCLUSION: These data show a positive correlation between APACHE II and cortisol concentrations in all groups except the MICU men. Also evident is the positive correlation between APACHE II scores and DHEA and DHEA-S concentrations in women, but not in men.     

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   

Predictors of intensive care unit and hospital length of stay in diabetic ketoacidosis

OBJECTIVE: To determine the predictive value for prolonged intensive care unit (ICU) and hospital length of stay (LOS) in patients with diabetic ketoacidosis (DKA) of the Acute Physiology and Chronic Health Evaluation II (APACHE II) score and Logistic Organ Dysfunction System (LODS), and to identify associated characteristics. DESIGN: Prospective cohort, 18-month observation. SUBJECTS AND SETTING: All admissions to a 12-bed, inner-city, university-affiliated hospital, medical ICU from July 1999 to December 2000. MEASUREMENTS: Data for APACHE II and LODS scoring systems were collected within 24 hours of admission. Lengths of ICU and hospital stay were the primary outcomes. Prolonged ICU and hospital LOS were defined as 3 or more and 6 or more days. RESULTS: A total of 584 patients, mean age 49, 56% men, 82% African American were admitted to the ICU. At admission they had (mean +/-SD) APACHE II (18 +/- 10), LODS (5 +/- 4), and predicted mortality of 32% +/- 29%. DKA was the admitting diagnosis in 42 (7.6%) patients; they had lower APACHE II (12 +/- 6), LODS (2 +/- 1), and predicted mortality 5% +/- 5% than the general ICU population (all, P <.001). Hospital mortality in non-DKA patients was 18%; there were no deaths in patients with DKA. Among DKA patients, those with insulin noncompliance had a shorter hospital stay (2.8 +/- 1 d) than those with an underlying illness as the DKA trigger (4.8 +/- 3, P =.02). Between patients with DKA, regardless of the LOS, there were no significant differences in APACHE II, LODS, or predicted mortality. CONCLUSIONS: ICU-admitted patients with DKA are less ill, and have lower disease severity scores, mortality, and shorter length of ICU and hospital stay than non-DKA patients. Disease severity scores are not, but precipitating cause is, predictor associated with prolonged hospital LOS in patients with DKA.     

Intensive care unit morbidity and mortality from eclampsia: an evaluation of the Acute Physiology and Chronic Health Evaluation II score and the Glasgow Coma Scale score

OBJECTIVE: To determine the maternal morbidity and mortality in patients with eclampsia admitted to an intensive care unit (ICU), and to establish the efficacy of the Acute Physiology and Chronic Health Evaluation (APACHE) II score, the organ system failure score as defined by Knaus, and the Glasgow Coma Scale (GCS) score in predicting outcome. DESIGN: Retrospective analysis of a 3.5-yr period. SETTING: Surgical ICU in a university hospital. PATIENTS: A total of 105 patients who were admitted with a diagnosis of eclampsia were studied. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The data captured included the reason for admission, maternal age, gestational age, parity, number of seizures, duration of ICU stay, anticonvulsant therapy, drug therapy, GCS score, APACHE II score, and the occurrence of organ failure. Of the 126 patients with eclampsia who were admitted to the ICU, records of 105 patients (83%) were found. The overall mortality was 10.5% (n = 11). The mean age, gestation, parity, number of preadmission seizures, and duration of stay were similar in survivors and nonsurvivors. Although the APACHE II score was significantly higher in nonsurvivors, multiple logistic regression analysis suggested that the goodness-of-fit scores for GCS and APACHE II were similar (38.29 vs. 38.01). The GCS scores of survivors were significantly higher than those of nonsurvivors (10.61 vs. 5.0; p<.001). Respiratory failure was the most common organ failure in both groups. The mean number of organ failures was higher in nonsurvivors compared with survivors (2.9 vs. 1.3; p<.001). An occurrence of more than two organ failures that persisted for >48 hrs was invariably associated with a fatal outcome. Anticonvulsant therapy consisted of magnesium sulfate or phenytoin and a midazolam infusion. Only one patient (0.9%) had a seizure, and this occurred en route to the ICU. No seizures occurred after admission to the ICU. CONCLUSIONS: The organ system failure score and the GCS score are good predictors of outcome in eclampsia. Apart from the GCS score, other variables in the APACHE II score are not valuable for outcome prediction. The low GCS score in nonsurvivors suggests that closer attention to the neurologic management may be beneficial. A prospective study is indicated to validate these findings.     

Systemic inflammatory response syndrome in patients hospitalized for gastrointestinal bleeding

OBJECTIVE: To describe the incidence and causes of systemic inflammatory response syndrome (SIRS), to determine the risk factors for its development, and to assess its impact on the outcome of patients hospitalized for gastrointestinal bleeding. DESIGN: Prospective, observational study. SETTING: A 528-bed, university-affiliated, teaching hospital. PATIENTS: The study included 411 adults hospitalized for gastrointestinal bleeding from January 1, 1995, through June 30, 1996. MEASUREMENTS: We obtained the demographic data, selected clinical findings, laboratory values, length of hospital stay, presence and cause of SIRS, presence of organ failure, and in-hospital mortality for each patient. The Acute Physiology and Chronic Health Evaluation II (APACHE II) score was calculated. Univariate and multivariate logistic regression analyses were used to determine differences between groups. RESULTS: Patients' ages (mean +/- SD) were 55.9 +/- 17.3 yr; 227 (55%) were male; 247 (60%) were African-American. SIRS developed in 112 patients (27%). Sepsis was the cause of SIRS in 63% of patients (70/112). Severe sepsis developed in 20 patients and septic shock in 5 patients. The most common cause of sepsis was pneumonia (19). There were no significant differences in age, gender, race, and the presence of liver disease between patients with and without SIRS. Upper gastrointestinal bleeding (76/211 vs. 36/ 200; p = .0196), intensive care unit admission (73/152 vs. 391259; p < .0001), and higher APACHE II scores (median, 17 vs. 11; p< .0001) were associated with the development of SIRS. The length of hospital stay was longer (median, 9.5 vs. 3 days; p < .0001), and the number of organ failures (median, 1 vs. 0; p < .0001) and in-hospital mortality rates (23 vs. 4%; p < .0001) were higher in patients with SIRS than in those without SIRS. CONCLUSIONS: SIRS occurs in 27% of patients admitted for gastrointestinal bleeding and is associated with a poor prognosis. Intensive care unit admission, upper gastrointestinal bleeding, and high APACHE II scores are risk factors for the development of SIRS in patients hospitalized for gastrointestinal bleeding.     

Prognostic factors,clinical course,and hospital outcome of patients with chronic obstructive pulmonary disease admitted to an intensive care unit for acute respiratory failure

OBJECTIVE: To describe prognostic factors, clinical course, and hospital outcome of patients with chronic obstructive pulmonary disease admitted to an intensive care unit for acute respiratory failure. DESIGN: Analysis of prospectively collected data. SETTING: A multidisciplinary intensive care unit of an inner-city university hospital. PATIENTS: Patients with chronic obstructive pulmonary disease admitted to an intensive care unit for acute respiratory failure from August 1995 through July 1998. MEASUREMENTS AND MAIN RESULTS: Data were obtained concerning demographics, arterial blood gas, Acute Physiology and Chronic Health Evaluation (APACHE) II score, sepsis, mechanical ventilation, organ failure, complications, and hospital mortality rate. Fifty-nine percent of patients were male, 63% white, and 36% African-American; the mean age was 63.1 +/- 8.9 yrs. Noninvasive mechanical ventilation was tried in 40% of patients and was successful in 54% of them. Invasive mechanical ventilation was required in 61% of the 250 admissions. Sepsis developed in 31% of patients, nonpulmonary organ failure in 20%, pneumothorax in 3%, and acute respiratory distress syndrome in 2%. Multiple organ failure developed in 31% of patients with sepsis compared with 3% without sepsis (p <.0001). Predicted and observed hospital mortality rates were 30% and 15%, respectively. Differences in age and arterial carbon dioxide and oxygen tensions between survivors and nonsurvivors were not significant. Arterial pH was lower in nonsurvivors than in survivors (7.21 vs. 7.25, p =.0408). The APACHE II-predicted mortality rate (p =.0001; odds ratio, 1.046; 95% confidence interval, 1.022-1.070) and number of organ failures (p <.0001; odds ratio, 5.524; 95% confidence interval, 3.041-10.031) were independent predictors of hospital outcome; invasive mechanical ventilation was not an independent predictor. CONCLUSIONS: Physiologic abnormalities at admission to an intensive care unit and development of nonrespiratory organ failure are important predictors of hospital outcome for critically ill patients with chronic obstructive pulmonary disease who have acute respiratory failure. Improved outcome would require prevention and appropriate treatment of sepsis and multiple organ failure.     

Prognostic accuracy of Acute Physiology and Chronic Health Evaluation II scores in critically ill cancer patients.

BACKGROUND: The predictive accuracy of scores on the Acute Physiology and Chronic Health Evaluation II (APACHE II) for in-hospital mortality among critically ill cancer patients varies. OBJECTIVE: To evaluate the predictive accuracy of APACHE II scores for severity of illness in critically ill cancer patients and to find clinical indicators to improve the accuracy. METHODS: Actual hospital mortality rates were compared with predicted rates. Data were collected prospectively from 1263 cancer patients admitted to the intensive care unit during a 5-year period in a cancer center in Taiwan. The APACHE II score for each patient was calculated at admission. Stepwise logistic regression was used to identify clinical predictors associated with increased mortality. RESULTS: The scores ranged from 2 to 54. The mortality rates were 19% overall, 45% for medical patients, and 1% for surgical patients. The fit of the scores was good for the medical patients (Hosmer-Lemeshow statistic 8.2, P = .41). The estimated odds ratios for mortality of presence of metastasis and respiratory failure were 4.18 (95% CI 2.65-6.59) and 2.03 (95% CI 1.22-3.38), respectively. When metastasis and respiratory failure were incorporated into the APACHE II model, the area under the receiver operating characteristic curve for medical patients increased from 0.82 to 0.86. The fit of the modified model was excellent (Hosmer and Lemeshow statistic 6.57, P=.58). CONCLUSIONS: APACHE II scores are predictive of hospital mortality in critically ill cancer patients. The presence of metastasis and respiratory failure at admission are also associated with outcome.     

Predictors of mortality in stroke patients admitted to an intensive care unit

OBJECTIVE: Improved pathophysiologic insight and prognostic information regarding in-hospital risk of mortality among stroke patients admitted to an intensive care unit. DESIGN: Retrospective analysis. SETTING: Neurology/neurosurgery intensive care unit in a tertiary care university medical center. PATIENTS: A total of 63 consecutive ischemic stroke patients. INTERVENTIONS: Patients were classified according to in-hospital mortality. Charts were reviewed to retrospectively generate an admitting Acute Physiology and Chronic Health Evaluation (APACHE) II score. The APACHE II score and its individual components were assessed for predicting subsequent death. MEASUREMENTS AND MAIN RESULTS: Of 63 patients, 13 died and 50 survived to either discharge or surgical intervention. The mean admitting APACHE II score of survivors (6.9) was lower than that of patients who died (17.2; p < .0001). None of the 33 patients with a score <9 died, compared with 43% of those with a score > or =9. A score > or =18 was uniformly associated with fatal outcome (n = 8). Univariate analysis identified APACHE II total score, Glasgow Coma Scale score, temperature, pH, and white blood cell count as significant predictors of death. Among multivariate logistic regression models examining the components of the APACHE II score, the model containing white blood cells, temperature, and creatinine best predicted death. CONCLUSIONS: Several features of the APACHE II score are associated with risk of death in this patient population. The findings suggest particular physiologic derangements that are associated with, and may contribute to, increased mortality in critically ill patients with acute ischemic stroke.     

APACHE II score and mortality in respiratory failure due to cardiogenic pulmonary edema

We reviewed retrospectively 88 patients to assess whether the APACHE II severity of disease classification system can predict mortality in patients with respiratory failure due to cardiac pulmonary edema. Mean score for survivors was higher than for nonsurvivors (24.5 +/- 6.7 vs. 20.7 +/- 5.7, p less than .01), and increasing APACHE II scores were not associated with increasing mortality. Mortality was 54% for APACHE II scores less than or equal to 18, 43% for scores greater than 18 and less than or equal to 24, 22% for scores greater than 24 and less than or equal to 31, and 25% for scores between 32 and 40. The relationship of APACHE II scores to mortality did not improve when the 25 patients with ICU stays less than 48 h were analyzed; the mean score of survivors in this group was 24.3 +/- 5.2 vs. 18.8 +/- 4.6 for nonsurvivors, p less than .001. The presence of myocardial infarction (MI) was associated with a high mortality. Mortality in the 51 MI patients was 52.9% vs. 13.5% in the 37 patients without MI (p less than .001), but APACHE II scores were similar (22.6 +/- 6.6 and 23.7 +/- 6.4, respectively). The relationship between APACHE II scores and mortality did not improve if patients with and without MI are analyzed separately. For patients with MI, mortality was 78.6% for scores between 12 and 17, 56.2% for scores between 18 and 23, 33.3% for scores between 24 and 29, and 33.3% for scores greater than 29.(ABSTRACT TRUNCATED AT 250 WORDS)     

Changes in severity and organ failure scores as prognostic factors in onco-hematological malignancy patients admitted to the ICU

Objective To determine whether severity and organ failure scores over the first 3 days in an ICU predict in-hospital mortality in onco-hematological malignancy patients.Design and setting Retrospective study in a 22-bed medical ICU.Patients 92 consecutive patients with onco-hematological malignancies including 20 hematopoietic stem cell transplantation (HSCT) patients (11 with allogenic HSCT).Measurements Simplified Acute Physiology Score (SAPS) II, Organ Dysfunction and/or Infection (ODIN) score, Logistic Organ Dysfunction System (LODS), and Sequential Organ Failure Assessment (SOFA) score were recorded on admission. The change in each score (Δ score) during the first 3 days in the ICU was calculated as follows: severity or organ failure score on day 3 minus severity or organ failure score on day 1, divided by severity or organ failure score on day 1.Results In-hospital mortality was 58%. Using multivariate analysis in-hospital mortality was predicted by all scores on day 1 and all Δ scores. Areas under the receiver operating characteristics curves were similar for SAPS II (0.78), ODIN (0.78), LODS (0.83), and SOFA (0.78) scores at day 1. They were also similar for ΔSAPS II, ΔODIN, ΔLODS, and ΔSOFA. Similar results were observed when excluding patients with allogenic HSCT.Conclusion Severity and three organ failure scores on day 1 and Δ scores perform similarly in predicting in-hospital mortality in ICU onco-hematological malignancy patients but do not predict individual outcome. Decision to admit such patients to the ICU or to forgo life-sustaining therapies should not be based on these scores.Electronic supplementary material Supplementary material is available in the online version of this article at and is accesible for authorized users.     

Upper gastrointestinal haemorrhage: predictive factors of in-hospital mortality in patients treated in the medical intensive care unit

This prospective, cohort study assessed the independent predictors of in-hospital mortality in patients with acute upper gastrointestinal haemorrhage admitted to the medical intensive care unit (MICU) at the University Clinical Centre Maribor, Slovenia. Using univariate, multivariate and logistic regression methods the predictors of mortality in 54 upper gastrointestinal haemorrhage patients (47 men, mean ± SD age 61.6 ± 14.2 years) were investigated. The mean ± SD duration of treatment in the MICU was 2.8 ± 2.9 days and the mortality rate was 31.5%. Significant differences between nonsurvivors and survivors were observed in haemorrhagic shock, heart failure, infection, diastolic blood pressure at admission, haemoglobin and red blood cell count at admission, and lowest haemoglobin and red blood cell count during treatment. Heart failure (odds ratio 59.13) was the most significant independent predictor of in-hospital mortality. Haemorrhagic shock and the lowest red blood cell count during treatment were also important independent predictive factors of in-hospital mortality.     

APACHE II scoring in the injured patient

The purpose of this study was to measure the predictive power of Acute Physiology and Chronic Health Evaluation (APACHE II) with respect to mortality in a group of seriously injured patients and to compare this predictive power with that of the Trauma Score (TS) and the Injury Severity Score (ISS). Six hundred ninety-one helicopter-transported patients were studied. Individual logistic regressions demonstrated that all three scores had significant predictive power when considered individually (TS chi 2 = 136, p less than .0001; APACHE II chi 2 = 171, p less than .0001; ISS chi 2 = 109, p less than .0001). In addition, each severity score added significantly to the predictive power in a stepwise logistic regression (TS chi 2 = 15, p less than .0001; APACHE II chi 2 = 45, p less than .0001; ISS chi 2 = 15, p less than .0001). Areas under the receiver operating curves for the three scores were not significantly different (TS 0.8116, SD 0.0245; APACHE II 0.8515, SD 0.0204; ISS 0.7967; SD 0.0223). APACHE II is a good predictor of mortality, and its predictive power is complemented by TS and ISS.     

Prognosis of patients with systemic rheumatic diseases admitted to the intensive care unit

Objective To determine prognostic factors in patients with systemic rheumatic diseases admitted to the intensive care unit (ICU) and to examine whether the observed mortality rate is predicted using the Acute Physiology And Chronic Health Assessment II (APACHE II) score.Design and setting Retrospective study with historical controls in a 31-bed medicosurgical ICU at a university hospital.Patients and participants Seventy-one patients admitted to the ICU for an acute illness related to a systemic rheumatic disease and/or its treatment and 353 ICU control patients.Results Systemic rheumatic diseases were mainly rheumatoid arthritis and vasculitides. In-hospital mortality rate was 28/71 (39%), including 23 patients who died in the ICU. Multivariable logistic regression showed that poor prior health status (Berdits classification), APACHE II score, and admission for infection were associated with mortality, whereas prior use of immunosuppressive agents was not. APACHE II score at admission was higher in nonsurvivors (22±9) than in survivors (17±5) (p<0.01). The standard mortality ratio, i.e., the ratio between observed and predicted mortality, was 1.7 in the 71 study patients and 1.0 in the 353 control patients (p<0.0001).Conclusions In patients with systemic rheumatic diseases admitted to the ICU for at least 48 h, poor prior chronic health status, APACHE II score, and infection were prognostic factors for in-hospital mortality. SMR was higher than in a control ICU population.     

Complicated acute myocardial infarction requiring mechanical ventilation in the intensive care unit: prognostic factors of clinical outcome in a series of 157 patients

OBJECTIVE: To determine prognostic factors associated with death in patients with complicated acute myocardial infarction requiring mechanical ventilation. DESIGN: Retrospective chart-based analysis. SETTING: A 22-bed medical intensive care unit in a university hospital. PATIENTS: A total of 157 consecutive patients with acute myocardial infarction requiring endotracheal intubation and mechanical ventilation admitted to an intensive care unit during a 6-yr period. INTERVENTIONS: Coronary reperfusion strategy within 12 hrs following symptom onset. MEASUREMENTS AND MAIN RESULTS: Clinical characteristics at admission of survivors (n = 77) and nonsurvivors (n = 80) were similar regarding demographics, medical history, and Glasgow Coma Scale score. Twenty-eight-day intensive care unit mortality rate was 51%. The following criteria were higher for nonsurvivors: Simplified Acute Severity Score II, 79 +/- 18 vs. 64 +/- 17 (p <.0001); Acute Physiology and Chronic Health Evaluation (APACHE) II, 33 +/- 13 vs. 25 +/- 6 (p <.0001); incidence of cardiogenic shock (p =.0085) and failing organs (p <.0001); coronary artery disease extension (p =.045); and delay between symptom onset and coronary reperfusion (p =.0348). Nonsurvivors also had higher serum urea and creatinine and lower urine output, arterial pH, and left ventricular ejection fraction (p <.05). Mortality rate was higher in patients with PaO2/FiO2 ratio <200 than in patients with PaO2/FiO2 ratio >200 at admission (log-rank, 5.016; p =.0251). By multivariate analysis, only three factors were independently associated with death: APACHE II >29 (odds ratio, 1.132; 95% confidence interval, 1.013-1.265, p =.0287), serum creatinine >180 micromol/L (odds ratio, 6.151; 95% confidence interval, 1.446-26.166, p =.0139), and initial left ventricular ejection fraction <0.4 (odds ratio, 1.121; 95% confidence interval, 1.049-1.347, p =.0316). Overall, good discrimination was achieved for the risk score model (c-index, 0.852). CONCLUSIONS: We confirmed the high mortality rate of patients admitted to an intensive care unit with acute myocardial infarction requiring mechanical ventilation. In these patients, the main risk factors for death found, namely high APACHE II, early development of acute renal failure, and low resting left ventricular function, reflected the severity of the myocardial infarction.     

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.     

Microalbuminuria in the intensive care unit: Clinical correlates and association with outcomes in 431 patients

OBJECTIVE: Comparison of urine albumin within 6 hrs of intensive care unit (ICU) admission with demography, clinical classification, outcome, inotrope/vasopressor requirement, clinical assessment of mortality risk, and Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE) II scores. DESIGN: Urine albumin-creatinine ratio (ACR) was measured on ICU admission (ACR 1) and after 4-6 hrs (ACR 2). SETTING: A 17-bed general ICU in a university teaching hospital. PATIENTS: Unselected medical (206) and surgical (225) patients recruited prospectively. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Bedside urine ACR was measured by nurses using a Bayer DCA 2000 analyzer and expressed in mg/mmol (reference range <2.3). ACR 1 in medical and surgical patients was 15.5 (12.4-19.5) and 8.2 (5.9-11.1) mg/mmol, respectively (p = .0002), and ACR 2 was 9.0 (5.8-12.5) and 4.6 (3.6-5.3), respectively (p < .0001). For all patients, median (95% confidence interval) ACR fell from 11.2 (8.7-13.2) to 5.4 (4.7-6.8) mg/mmol 4-6 hrs after ICU admission (p < .0001). ACR 1 for nonsurvivors (n = 90) and survivors (n = 341) was 16.1 (11.2-21.3) and 8.8 (6.9-11.9), respectively (p = .0002) and ACR 2, 12.4 (8.2-18.9) and 4.8 (3.9-5.4), respectively (p < .0001). In both medical and surgical patients who died on the ICU, median ACR failed to decrease significantly following admission. ACR1 and ACR 2 were higher in patients who required inotropic or vasopressor support and correlated with duration of therapy. ACR 1 and 2 were inversely correlated with mean Po2/Fio2 ratio 48 hrs after ICU admission and positively correlated with duration of mechanical ventilation and ACR 1 with ICU stay. ACR 2 predicted mortality and ACR 1 inotrope requirement independent of clinical mortality risk assessment and APACHE II and SOFA scores. CONCLUSIONS: Urine albumin changes rapidly within the first 6 hrs following ICU admission and predicts ICU mortality and inotrope requirement as well as or better than APACHE II and SOFA scores. Serial urine albumin measurement may provide a means of monitoring the microvascular effects of systemic inflammation.     

Failure of APACHE II alone as a predictor of mortality in patients receiving total parenteral nutrition

We followed prospectively over 5 months all medical and surgical ICU patients placed on total parenteral nutrition (TPN) and recorded their Acute Physiology and Chronic Health Evaluation II (APACHE II) scores on the day of admission, on the day TPN was started, length of time in ICU before TPN was started, and the number of days TPN was administered. Sixty-one patients (15 to 82 yr) had an inhospital mortality of 47%. The APACHE II score was significantly higher for nonsurvivors vs. survivors both on the day of admission (24.4 +/- 9.6 vs. 18.4 +/- 6.5; p less than .003) and also on the day TPN was started (21 +/- 8.6 vs. 16.4 +/- 5.6; p less than .002). However, at a 60% risk of dying, specificity was 96.9% and sensitivity 27.6%. The mean number of days before TPN was started was 3.2 and mean number of days on TPN was 9.2 (p = NS). We conclude that calculation of APACHE II score either on ICU admission or on the day TPN is considered does not seem useful in identifying patients who will not benefit from TPN.     

Use of admission troponin in critically ill medical patients

Serum troponin I (TnI) is a sensitive marker of cardiac injury. A relation between elevated TnI and mortality has been suggested. In this retrospective chart review of 221 patients admitted to the medical intensive care unit (MICU) during a 6-month period, the authors studied the use of admission TnI levels in predicting mortality in MICU-admitted patients. Data retrieved included demographics, admission diagnosis, troponin, electrocardiogram, Acute Physiology and Chronic Health Evaluation (APACHE) II score, echocardiogram, requirements for mechanical ventilation and vasopressor support, development of multiorgan failure, mortality, and discharge disposition. There were 132 patients for whom TnI level was sent within 24 hours of admission; these patients comprised the study group. The median age was 70 years; 59% were female. The mean APACHE II score was 22. Troponin I was positive in 31% of patients (median level, 0.4 Ug/L; range 0-358 Ug/L). The hospital mortality was 39%. Positive TnI showed a weak association with intensive care unit (ICU) mortality (P = .049) but not with overall mortality. There was no significant correlation between admission TnI concentration and APACHE II score (P = .33), administration of vasopressor medications (P = .115), or development of multiorgan failure (P = .64). The authors concluded that there is no benefit in obtaining a routine admission troponin level in MICU patients when an acute coronary event is not suspected.