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   

Mortality rate and length of stay of patients admitted to the intensive care unit in July

OBJECTIVE: At the beginning of each academic year in July, inexperienced residents and fellows begin to care for patients. This inexperience can lead to poor patient outcome, especially in patients admitted to the intensive care unit (ICU). The objective of this study was to determine the impact of July ICU admission on patient outcome. DESIGN: Retrospective, cohort study. SETTING: Academic, tertiary medical center. PATIENTS: Patients admitted to the ICU from October 1994 through September 2002. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Demographics, Acute Physiology and Chronic Health Evaluation (APACHE) III score and predicted mortality, admission source, admission date, intensity of treatment, ICU length of stay (LOS), and hospital mortality of 29,084 patients were obtained. The actual and predicted weighted ICU LOS and their ratio were calculated. Logistic regression analysis was used to compare the hospital mortality rate of patients admitted to the ICU in July with those admitted during the rest of the year, with adjustment for potentially confounding variables. The patients' mean age was 62.3 +/- 17.6 yrs; 57.3% were male and 95.5% white. Both the customized predicted and observed hospital mortality rates of the entire cohort were 8.2%. The majority (76.7%) of the patients were discharged home, and 15.1% were discharged to other facilities. When adjusted for potentially confounding variables, ICU admission in July was not associated with higher hospital mortality rate compared with any other month. There were no significant differences in the discharge location of patients between July and any one of the other months. There were no statistically significant differences in the weighted ICU LOS ratio between July and any of the other months. CONCLUSIONS: ICU admission in July is not associated with increased hospital mortality rate or ICU length of stay.     

Validation of severity scoring systems SAPS II and APACHE II in a single-center population

OBJECTIVE: To validate two severity scoring systems, the Simplified Acute Physiology Score (SAPS II) and Acute Physiology and Chronic Health Evaluation (APACHE II), in a single-center ICU population. DESIGN AND SETTING: Prospective data collection in a two four-bed multidisciplinary ICUs of a teaching hospital. PATIENTS AND METHODS: Data were collected in ICU over 4 years on 1,721 consecutively admitted patients (aged 18 years or older, no transferrals, ICU stay at least 24 h) regarding SAPS II, APACHE II, predicted hospital mortality, and survival upon hospital discharge. RESULTS: At the predicted risk of 0.5, sensitivity was 39.4 % for SAPS II and 31.6 % for APACHE II, specificity 95.6 % and 97.2 %, and correct classification rate 85.6 % and 85.5 %, respectively. The area under the ROC curve was higher than 0.8 for both models. The goodness-of-fit statistic showed no significant difference between observed and predicted hospital mortality (H = 7.62 for SAPS II, H = 3.87 for APACHE II; and C = 9.32 and C = 5.05, respectively). Observed hospital mortality of patients with risk of death higher than 60 % was overpredicted by SAPS II and underpredicted by APACHE II. The observed hospital mortality was significantly higher than that predicted by the models in medical patients and in those admitted from the ward. CONCLUSIONS: This study validates both SAPS II and APACHE II scores in an ICU population comprised mainly of surgical patients. The type of ICU admission and the location in the hospital before ICU admission influence the predictive ability of the models.     

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.     

APACHEⅡ评分在ICU铜绿假单胞菌下呼吸道感染患者中的应用

目的 :应用急性生理学及慢性健康状况评分 (acute physiology and chronic health evaluation ,APACHE )系统评估重症监护病房 (intensive care unit,ICU )中铜绿假单胞菌 (PA)下呼吸道感染患者的疾病的危重程度、感染治疗效果、入住 ICU时间和预后。方法 :对比观察入住 ICU并且合并下呼吸道 PA感染的12 2例患者 ,按 Knaus法进行 APACHE 评分 ,并进行临床对比。结果 :全部患者共死亡 2 9例 ,APACHE 分值为 (18.78± 7.13)分 ;未死亡者 93例 ,APACHE 分值为 (11.70± 5 .79)分 ,两者差异显著 (t=5 .4 3,P<0 .0 1)。合并感染者较非合并感染者 APACHE 评分高〔(14 .76± 6 .89)分比 (10 .0 8± 6 .14 )分 ,P<0 .0 1〕,预后差 (2 7.91%比 13.89% ,P<0 .0 1) ;重症肺炎患者较非重症肺炎患者 APACHE 评分高〔(15 .5 7± 6 .97)分比(11.81± 6 .0 3)分 ,P<0 .0 1〕,预后差 (39.2 2 %比 12 .6 8% ,P<0 .0 1)。随 APACHE 分值的升高 ,患者的重症肺炎例数增多 ,感染治疗效果差 ,病死率升高 ;预计病死率和实际病死率均与 APACHE 分值呈显著正相关 ,APACHE 分值以 5分阶增加时 ,实际和预计病死率亦增加 ,预测死亡概率的敏感性和阳性率分别为10 0 .0 0 %和 86 .72 %。结论 :在 PA下呼吸道感染的 ICU患者中 ,APACHE      

Effect of interhospital transfer on resource utilization and outcomes at a tertiary care referral center

OBJECTIVE: Mortality and length of stay are two outcome variables commonly used as benchmarks in rating the performance of medical centers. Acceptance of transfer patients has been shown to affect both outcomes and the costs of health care. Our objective was to compare observed and predicted lengths of stay, observed and predicted mortality, and resource consumption between patients directly admitted and those transferred to the intensive care unit (ICU) of a large academic medical center. DESIGN: Observational cohort study. SETTING: Mixed medical/surgical ICU of a university hospital. PATIENTS: A total of 4,569 consecutive patients admitted to a tertiary care ICU from April 1, 1997, to March 30, 2000. INTERVENTIONS: None. MEASUREMENTS: Acute Physiology and Chronic Health Evaluation (APACHE) III score, actual and predicted ICU and hospital lengths of stay, actual and predicted ICU and hospital mortality, and costs per admission. MAIN RESULTS: Crude comparison of directly admitted and transfer patients revealed that transfer patients had significantly higher APACHE III scores (mean, 60.5 vs. 49.7, p < .001), ICU mortality (14% vs. 8%, p < .001), and hospital mortality (22% vs. 14%, p < .001). Transfer patients also had longer ICU lengths of stay (mean, 6.0 vs. 3.8 days, p < .001) and hospital lengths of stay (mean, 20 vs. 15.9 days, p < .001). Stratified by disease severity using the APACHE III model, there was no difference in either ICU or hospital mortality between the two populations. However, in the transfer group with the lowest predicted mortality of 0-20%, ICU and hospital lengths of stay were significantly higher. In crude cost analysis, transfer patients' costs were $9,600 higher per ICU admission compared with nontransfer patients (95% confidence interval, $6,000-$13,400). Risk stratification revealed that the higher per-patient cost was entirely confined to the transfer patients with the lowest predicted mortality. CONCLUSIONS: Patients transferred to a tertiary care ICU are generally more severely ill and consume more resources. However, they have similar adjusted mortality outcomes when compared with directly admitted patients. The difference in resource consumption is mainly attributable to the group of patients in the lowest predicted risk bracket.     

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.     

Intensive care unit support and Acute Physiology and Chronic Health Evaluation III performance in hematopoietic stem cell transplant recipients

OBJECTIVE: Hematopoietic stem cell transplant (HSCT) recipients admitted to the intensive care unit (ICU) have high mortality. The prognostic importance of peripheral blood stem cell source in critically ill HSCT recipients and the performance of Acute Physiology and Chronic Health Evaluation (APACHE) III have not been well studied. In a previous study, the hospital mortality rate of HSCT recipients admitted to our ICU was 77%. The objectives of this study were to describe the clinical course of HSCT recipients admitted to the ICU and to determine the performance of APACHE III in predicting their mortality. DESIGN: Retrospective cohort study. SETTING: Academic medical center. PATIENTS: HSCT recipients admitted to the ICU. MEASUREMENTS: Demographics, transplant type, stem cell source, APACHE II and III predicted mortality, development of sepsis and organ failure, use of mechanical ventilation, duration of hospital stay, and mortality. RESULTS: Ninety-four percent of the 112 HSCT recipients were white and 64% male. The mean APACHE II and III scores were 25 and 44, respectively. The APACHE II and III hospital predicted mortality rates were 44% and 42%, respectively. Mechanical ventilation was provided to 63%. Organ failure developed in 94% and sepsis in 62%. The ICU, hospital, and 30-day mortality rates were 33%, 46%, and 52%, respectively. Allogeneic transplant and higher APACHE III scores, but not bone marrow stem cell source, were associated with increased mortality. Invasive mechanical ventilation, vasoactive medication use, sepsis, and organ failure during patients' ICU course were also associated with increased mortality. The area under the receiver operating characteristic curve for APACHE III hospital mortality prediction was 0.704 (95% confidence interval, 0.610-0.786). For APACHE III hospital mortality prediction, the value of the Hosmer-Lemeshow statistic showed good model fit. CONCLUSIONS: Current mortality figures of HSCT recipients admitted to the ICU are better than previously reported. The APACHE III prognostic model has moderate discrimination and good calibration in predicting hospital mortality in these patients.     

Plasma glutamine depletion and patient outcome in acute ICU admissions

OBJECTIVE: To evaluate whether low plasma glutamine (PG) is related to severity of illness, and actual and predicted hospital mortality. DESIGN: Prospective cohort study. SETTING: 18-bed closed format general intensive care unit (ICU) of a teaching hospital. PATIENTS: Cohort of 80 seriously ill patients non-electively admitted to the ICU. INTERVENTIONS: Blood sampling for the determination of PG at ICU admission. MEASUREMENTS AND RESULTS: Severity of illness and predicted mortality were calculated using the locally validated APACHE II, SAPS II, and MPM II 0 and 24 systems. Illness scores, and actual and predicted hospital mortality were compared between patients with total PG < 0.420 mmol/l ("low PG") and patients with PG > or = 0.420 mmol/l. Mean total PG was 0.523 mmol/l, range 0.220-1.780 mmol/l. Low PG (n = 25) was associated with higher age (P = 0.03), shock as primary diagnosis, and higher actual hospital mortality (60 % vs 29 %, P = 0.01). Normal to high PG was associated with high plasma creatine phosphokinase (P = 0.007) There was a nonsignificant trend towards higher severity of illness scores and predicted mortality rates in the low PG group. The presence of low PG significantly improved mortality prediction when added as a factor to the APACHE II predicted mortality rate (P = 0.02). CONCLUSIONS: Low PG at acute ICU admission is related to higher age, shock as primary diagnosis, and higher hospital mortality. Low PG represents a risk of poor outcome, not fully reflected in the presently used mortality prediction systems.     

Clinical features of patients with acute organophosphate poisoning requiring intensive care

OBJECTIVES: To describe the clinical features of organophosphate poisoning (OPP), to evaluate the Acute Physiology and Chronic Health Evaluation (APACHE) II score as an alternative index for measuring OPP severity, and to assess cholinesterase levels for predicting successful weaning from mechanical ventilation (MV). DESIGN AND SETTING: Retrospective medical record review in a medical intensive care unit of an acute general hospital. PATIENTS: Twenty-three adults with OPP between 1995 and 1999. All cases were due to malathion poisoning. Muscarinic features were the predominant clinical manifestations (83%), followed by central nervous system (78%) and nicotinic manifestations (17%). RESULTS: MV was required by 74% of patients because of bronchial secretions (83%), altered conscious level (78%), pneumonia (78%), and flaccid paralysis (57%). Five patients (22%) had features of intermediate syndrome. ICU mortality was 13% and the mean ICU stay was 9.1 +/- 6.0 days. The mean APACHE II score was 17.4 +/- 7.4 and it correlated with mortality, severity of OPP, length of MV, and cholinesterase level. An APACHE II score of 26 or higher was predictive of mortality, with 95% sensitivity and 100% specificity. Threshold levels of serum and red blood cell cholinesterase for successful weaning from MV were 2,900 U/l and 7,500 U/l, respectively. CONCLUSIONS: The APACHE II score may be used as an alternative index of severity in patients with OPP; a score of 26 or higher is a good predictor of mortality. Cholinesterase levels are useful in predicting successful weaning of patients from MV.     

The Surgical Optimal Mobility Score predicts mortality and length of stay in an Italian population of medical,surgical, and neurologic intensive care unit patients

PurposeWe validated the Italian version of Surgical Optimal Mobility Score (SOMS) and evaluated its ability to predict intensive care unit (ICU) and hospital length of stay (LOS), and hospital mortality in a mixed population of ICU patients.Materials and MethodsWe applied the Italian version of SOMS in a consecutive series of prospectively enrolled, adult ICU patients. Surgical Optimal Mobility Score level was assessed twice a day by ICU nurses and twice a week by an expert mobility team. Zero-truncated Poisson regression was used to identify predictors for ICU and hospital LOS, and logistic regression for hospital mortality. All models were adjusted for potential confounders.ResultsOf 98 patients recruited, 19 (19.4%) died in hospital, of whom 17 without and 2 with improved mobility level achieved during the ICU stay. SOMS improvement was independently associated with lower hospital mortality (odds ratio, 0.07; 95% confidence interval [CI], 0.01-0.42) but increased hospital LOS (odds ratio, 1.21; 95% CI: 1.10-1.33). A higher first-morning SOMS on ICU admission, indicating better mobility, was associated with lower ICU and hospital LOS (rate ratios, 0.89 [95% CI, 0.80-0.99] and 0.84 [95% CI, 0.79-0.89], respectively).ConclusionsThe first-morning SOMS on ICU admission predicted ICU and hospital LOS in a mixed population of ICU patients. SOMS improvement was associated with reduced hospital mortality but increased hospital LOS, suggesting the need of optimizing hospital trajectories after ICU discharge.     

Acute respiratory distress syndrome in trauma patients: ICU mortality and prediction factors

OBJECTIVES: To study the factors that influence the intensive care unit (ICU) mortality of trauma patients who develop acute respiratory distress syndrome (ARDS) and to evaluate determinants of length of ICU stay among these patients. DESIGN: Study on a prospective cohort of 59 trauma patients that developed ARDS. SETTING: ICU of a referral trauma center. Fifty-nine patients were included during the study period from 1994 to 1997. METHODS: The dependent variables studied were the mortality and length of ICU stay. The main independent variables studied included the general severity score APACHE III, the revised trauma and injury severity scores (RTS, ISS), emergency treatment measures, the gas exchange index (PaO2/FIO2) recorded after the onset of ARDS and the development of multiple system organ failure (MSOF). Univariate and multivariate analyses were performed. RESULTS: The mean age of patients was 42.1 +/- 16.7 years, 49 patients (83 %) were male, the mean APACHE III score was 52.7 +/- 33.7 points, the ISS 28.5 +/- 11.4 points and the RTS 8.9 +/- 2.5 points. ICU length of stay was 28.5 +/- 24.5 days and the mortality rate 31.7 % (19 deaths). Mortality was associated with the following: PaO2/FIO2 ratio on the 3rd, 5th and 7th days post-ARDS; high volume of crystalloid/colloid infusion during resuscitation; the APACHE III score; and the development of MSOF According to the multivariate analysis, the mortality of these patients was correlated with the PaO2/FIO2 ratio on the 3rd day of ARDS, the APACHE III score and the development of MSOF. This analysis also showed days on mechanical ventilation to be the only variable that predicted ICU length of stay. CONCLUSIONS: The ICU mortality of trauma patients with ARDS is related to the APACHE III score, the gas exchange evolution as measured by the PaO2/FIO2 on the 3rd day and the progressive complications indicated by the onset of MSOF. The length of ICU stay of these patients is related to the number of days on mechanical ventilation.     

Quality, cost, and outcome of intensive care in a public hospital in Bombay, India.

OBJECTIVE: To study the quality, cost, and benefits of intensive care in a public hospital in Bombay, India. DESIGN: Prospective collection of data. SETTING: Seventeen-bed medical-neurology-neurosurgery intensive care unit (ICU) of a municipal teaching hospital. PATIENTS: A total of 993 consecutive ICU patients during a 16-month period. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The 993 patients aged 36.5 +/- 16 yrs (mean +/- SD) had a day-1 Acute Physiology and Chronic Health Evaluation (APACHE) II score of 14.9 +/- 9.6 (mean +/- SD), with a predicted mortality of 21.7%; the observed mortality was 36.2% (standardized mortality ratio = 1.67). The day-1 Therapeutic Intervention Scoring System (TISS) points were 17.7 +/- 6.2 (mean +/- SD), and total TISS points per patient were 87.6 +/- 110 (mean +/- SD). Nurse-to-patient ratio in the ICU was 3:17 and the average workload per nurse was 64.2 TISS points. The average length of stay was 5.5 days (SD = 7.1 days). The overall cost of treating 993 patients was, in Indian rupees (Rs), Rs 107,79,209 (U.S. $307,997), and cost per patient per day was Rs 1,973 (U.S. $57). The cost per survivor was Rs 17,029 (U.S. $487) and cost per TISS point was Rs 90.14 (U.S. $2.57). The low cost per TISS point was attributable to the reuse of disposable equipment and lower cost of drugs and salaries for medical and paramedical staff. CONCLUSIONS: Intensive care in India is cheaper than in the West; however, mortality is 1.67 times that for patients with similar APACHE II scores in ICUs in the United States. This finding may be attributable to the lesser intensity of care per patient (lower day-1 TISS points), lower nurse-to-patient ratio because of shortage of trained personnel and budgetary constraints, and higher workload per nurse (64.2 TISS points per nurse, compared with 40 points per nurse in the West). In addition, the APACHE II scores may underestimate mortality for Indian patients because of differences in case mix, higher lead time between onset of admission and treatment before ICU admission, and possible inappropriateness of age points derived from American patients for Indian subjects because of a higher burden of diseases at lower ages in Indian patients.     

Acute physiology and chronic health evaluation (APACHE II) scoring in a cardiothoracic intensive care unit

OBJECTIVE: To evaluate the predictive value of the Acute Physiology and Chronic Health Evaluation (APACHE II) scoring system in cardiothoracic surgical patients. DESIGN: Prospective survey with follow-up to hospital discharge. SETTING: A cardiothoracic surgical ICU in a tertiary referral center. PATIENTS: Eight hundred sixty-nine consecutive patients admitted to the ICU were entered into this study. Data on 12 patients were incomplete. Forty-three patients had nonsurgical diagnoses. Three patients had noncardiothoracic operations. These exclusions left 811 patients for analysis, and all results pertain to these 811 cardiothoracic surgical patients. INTERVENTIONS: Demographic and physiologic data relevant to the APACHE II score were collected on all patients and entered into a microcomputer database for analysis. MEASUREMENTS AND MAIN RESULTS: The following procedures were performed: 65% of patients had coronary artery bypass grafts; 23% had heart valve surgery; 5% had thoracic surgical procedures; and the remainder had a variety of cardiothoracic operations. The mean duration of ICU care was 2.3 days and the mean age was 57 yrs. The mean APACHE II score was 9.5 and the overall predicted risk of dying was 4.59%, with an actual ICU mortality rate of 4.56%. The relationship between the APACHE II score and mortality rate was linear and significant (p less than .001). Patients with an APACHE II score of less than 10 had a mortality rate of 0.93%. Only a score of greater than 30 was uniformly associated with death, and then only in one patient. A chronic disease history, emergency surgery, and a longer ICU stay were significant markers for mortality. CONCLUSIONS: There was a good relationship between the APACHE II score and mortality rate. Low APACHE II scores accurately predicted survival but only very high scores accurately predicted death.     

Association of pulmonary artery catheter use with in-hospital mortality

OBJECTIVE: To determine the association of pulmonary artery catheter (PAC) use with in-hospital mortality. DESIGN: Prospective, observational study. SETTING: The medical intensive care units (MICU) of two teaching hospitals. METHODS: The study included 751 adults who were admitted to the MICU, excluding those who stayed for <24 hrs. Demographics and the worst Acute Physiology and Chronic Health Evaluation (APACHE) II score within the first 24 hrs of MICU admission were obtained. Daily logistic organ dysfunction system (LODS) scores were calculated. The associations of in-hospital mortality with the admission source, admission disease category, APACHE II scores, the worst LODS scores, mechanical ventilation, and PAC use were determined using chi-square, Mann-Whitney U, and multiple logistic regression analysis tests. p Values < 0.05 were considered significant. RESULTS: Mean patient age was 52.6 +/- 17.1 yrs; 425 (57%) were male; 464 (62%) were African-American, 275 (37%) Caucasian, 6 (1%) Asian, and 6 (1%) Hispanic. PAC was used in 119/751 (16%). The median APACHE II and worst LODS scores were 19 and 4, respectively. The in-hospital mortality rate was 159/751 (21%). The median APACHE II score for survivors was 17.5, compared with 28.0 for nonsurvivors (p <.0001). The worst median LODS score was 4 for survivors, compared with 11 for nonsurvivors (p <.0001). Sixty-four (54%) of the 119 patients with PAC died, compared with 95 (15%) of the 632 without PAC (p <.0001). Multiple logistic regression analysis showed that higher APACHE II-predicted mortality rate (p =.0088) and worst daily LODS score (p <.0001) were associated with increased mortality. The admission source, admission disease category, PAC use, and mechanical ventilation were not associated with in-hospital mortality. CONCLUSIONS: This study could not detect an association between PAC use and mortality. The APACHE II-predicted mortality rate and the development of multiple organ dysfunction were the main determinants of poor outcome in critically ill patients admitted to MICU.     

Evaluation of the consistency of Acute Physiology and Chronic Health Evaluation (APACHE II) scoring in a surgical intensive care unit.

OBJECTIVES: To determine the applicability of the Acute Physiology and Chronic Health Evaluation (APACHE II) scoring system in a Swiss ICU, and to evaluate its utility in evaluating data from 2 yrs of consecutive admissions to show that the predictability of outcome is similar to that predictability observed by Knaus et al. in 1985 (in 5,815 patients), with the provision that large numbers of patients are studied. DESIGN: Prospective clinical trial over 2 yrs, with statistical analysis of the Swiss patients, and between the Swiss patients and the patients studied by Knaus et al. Receiver operating characteristic curves were calculated. SETTING: Surgical ICU in a Swiss university hospital. PATIENTS: A total of 2,061 consecutive patients admitted to the surgical ICU who were classified as postoperative (elective or emergency) and nonoperative. Hospital mortality rate was considered. RESULTS: Patients were 53 +/- 16 yrs of age. Mean APACHE II score was 10.5 +/- 7.0. The mean APACHE II score was significantly (p < .001) lower in the 1,813 survivors (9.0 +/- 5.2) than in the 248 nonsurvivors (21.5 +/- 8.5). The mortality rate was higher among the Swiss patients when compared with the patients studied by Knaus et al. who had postoperative scores of 20 to 29 and nonoperative scores of > 24. The distribution of the scores and mortality rates were stable during the two study periods, as were the differences in mortality rates between the Swiss population and that population studied by Knaus et al. Sensitivity and specificity of the scores were highest in the emergency surgery group (87% and 78%), and lowest in the elective surgery group (76% and 73%). The APACHE equation underestimated the risk of death. CONCLUSIONS: The APACHE II score, because of its consistency over time and the stability of the mortality rates, can be used in our surgical ICU without modification. The calculated risk of death gives no additional information.     

Prevalence and significance of lactic acidosis in diabetic ketoacidosis

Purpose

The prevalence and clinical significance of lactic acidosis in diabetic ketoacidosis (DKA) are understudied. The objective of this study was to determine the prevalence of lactic acidosis in DKA and its association with intensive care unit (ICU) length of stay (LOS) and mortality.

Methods

Retrospective, observational study of patients with DKA presenting to the emergency department of an urban tertiary care hospital between January 2004 and June 2008.

Results

Sixty-eight patients with DKA who presented to the emergency department were included in the analysis. Of 68 patients, 46 (68%) had lactic acidosis (lactate, >2.5 mmol/L), and 27 (40%) of 68 had a high lactate (>4 mmol/L). The median lactate was 3.5 mmol/L (interquartile range, 3.32-4.12). There was no association between lactate and ICU LOS in a multivariable model controlling for Acute Physiology and Chronic Health Evaluation II, glucose, and creatinine. Lactate correlated negatively with blood pressure (r = −0.44; P < .001) and positively with glucose (r = 0.34; P = .004).

Conclusions

Lactic acidosis is more common in DKA than traditionally appreciated and is not associated with increased ICU LOS or mortality. The positive correlation of lactate with glucose raises the possibility that lactic acidosis in DKA may be due not only to hypoperfusion but also to altered glucose metabolism.     

Adjustment of intensive care unit outcomes for severity of illness and comorbidity scores

PURPOSE: Comparison of outcomes among intensive care units (ICUs) requires adjustment for patient variables. Severity of illness scores are associated with hospital mortality, but administrative databases rarely include the elements of these scores. However, these databases include the elements of comorbidity scores. The purpose of this study was to compare the value of these scores as adjustment variables in statistical models of hospital mortality and hospital and ICU length of stay after adjustment for other covariates. MATERIALS AND METHODS: We used multivariable regression to study 1808 patients admitted to a 13-bed medical-surgical ICU in a 400-bed tertiary hospital between December 1998 and August 2003. RESULTS: For all patients, after adjusting for age, sex, major clinical category, source of admission, and socioeconomic determinants of health, we found that Acute Physiology and Chronic Health Evaluation (APACHE) II and comorbidity scores were significantly associated with hospital mortality and that comorbidity but not APACHE II was significantly associated with hospital length of stay. Separate analysis of hospital survivors and nonsurvivors showed that both APACHE II and comorbidity scores were significantly associated with hospital length of stay and APACHE II score was associated with ICU length of stay. CONCLUSION: The value of APACHE II and comorbidity scores as adjustment variables depends on the outcome and population of interest.     

Long-term outcome in ICU patients: what about quality of life?

Objective Analysis of mortality and quality of life (QOL) after intensive care unit (ICU) discharge.Design Prospective, observational study.Setting Mixed, 31-bed, medico-surgical ICU.Patients Consecutive adult ICU admissions between June 25 and September 10, 2000, except admissions for uncomplicated elective postoperative surveillance.Interventions None.Measurements and results Age, past history, admission APACHE II, SOFA score (admission, maximum, discharge), ICU and hospital mortality were recorded. A telephone interview employing the EuroQol 5D system was conducted 18 months after discharge. Of 202 patients, 34 (16.8%) died in the ICU and 23 (11.4%) died in the hospital after ICU discharge. Of the 145 patients discharged alive from hospital, 22 could not be contacted and 27 (13.4%) had died after hospital discharge. Of the 96 patients (47.5%) who completed the questionnaire, 38% had a worse QOL than prior to ICU admission, but only 8.3% were severely incapacitated. Twenty-three patients (24%) had reduced mobility, 15 (15.6%) had limited autonomy, 24 (25%) had alteration in usual daily activities, 29 (30.2%) expressed more anxiety/depression, and 42 (44%) had more discomfort or pain. Twenty-eight (62.2% of those who worked previously) patients had returned to work 18 months after ICU discharge.Conclusions Comparing QOL after discharge with that before admission, patients more frequently report worse QOL for the domains of pain/discomfort and anxiety/depression than for physical domains. Factors commonly associated with a change in QOL were previous problems in the affected domains, prolonged hospital length of stay (LOS), greater disease severity at admission and degree of organ dysfunction during ICU stay.