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Lack of predictive value of the APACHE II score in hypoalbuminemic patients.

The APACHE II score predicts mortality in severely ill patients. This score does not account for the serum albumin level. Ninety-three patients (28 with serum albumin levels less than 2.5 g/dL [group I] and 65 with serum albumin levels greater than or equal to 2.5 [group II]) were retrospectively reviewed. Patients were comparable in age, APACHE II score, and compliance with required protein needs. Patients with severe hypoalbuminemia had nearly double the death rate of patients with mildly low or normal albumin concentrations (54% compared with 29%). The death rate in the severely hypoalbuminemic patients was 5.1-fold higher than would be predicted by their APACHE II score. The death rate in those patients with mildly low or normal albumin levels had only a 1.9-fold higher rate than would be predicted by their APACHE II score. It is concluded that severe hypoalbuminemia increases the risk of death significantly higher than would be predicted by the APACHE II score. APACHE II score is not as accurate in a severely hypoalbuminemic population.

Acute Disease↗

Electrocardiographic axis deviation in Navajo and Apache indians.

It has been our clinical impression that the range of the mean frontal-plane electrocardiographic QRS axis was greater than might have been anticipated in healthy Navajo and Apache Indians. To determine whether this clinical impression was correct, electrocardiograms were obtained from 146 Navajo, 144 Apache, and 159 non-Navajo non-Apache schoolchildren with normal findings on cardiovascular examinations. A mean frontal-plane QRS axis between -1 degrees and -90 degrees was present in 19 percent of the Navajo, 12 percent of the Apache, and 2 percent of the control schoolchildren. A mean frontal-plane QRS axis between +91 degrees and +180 degrees was present in 18 percent of the Navajo, 19 percent of the Apache, and 5 percent of the control schoolchildren. There is a high incidence of electrocardiographic mean frontal-plane QRS axis deviation in healthy Navajo and Apache schoolchildren.

Adolescent↗

Development of a new prognostic system and validation of APACHE II for surgical ICU mortality: a multicenter study in Taiwan.

BACKGROUND: To develop and to validate a new prognostic prediction system for patients admitted to the surgical intensive care unit (ICU), and to compare its performance with the Acute Physiology and Chronic Health Evaluation (APACHE) II system. METHODS: The database was derived from three surgical ICUs in three hospitals. For each patient, demographic data, diagnosis, APACHE II score and hospital survival data were collected. The accuracy in outcome prediction of the APACHE II was assessed by means of receiver operating characteristic (ROC) analysis. The new prognostic system was developed by using a multiple logistic regression in the developmental data set and validated with the validation data set. RESULTS: A total of 1,248 patients were included from three ICUs. The area under the ROC curve was 0.74 for the APACHE II score. The new prognostic system includes 18 variables. Goodness-of-fit tests indicated that the model performed well in the developmental and validation samples (p = 0.235 in the developmental data set and p = 0.297 in the validation set). The area under the ROC curve was 0.84 in the developmental sample and 0.77 in the validation sample for the new prognostic score. The area under the ROC curve was 0.71 in the validation sample for the APACHE II score. CONCLUSIONS: Although APACHE II correlates with mortality for surgical ICU patients in Taiwan, its accuracy is not as good as in the original study. Mortality prediction performance improved with the use of the new, local scoring system.

Adult↗

Landscape associations of the sand fly, Lutzomyia (Heleocyrtomyia) apache (Diptera: Psychodidae), in the southwestern United States: a geographic information system analysis.

Landscape associations of the sand fly, Lutzomyia apache, Young and Perkins, in the southwestern U.S. were investigated by light/suction trap sampling and the development of a GIS-generated distribution map. In the mid-Rio Grande River valley, N.M., female and male L. apache were captured in updraft light/suction traps set in desert shrubland, irrigation levee, and bosque vegetation communities. Small numbers of flies were captured, but the presence of males and females in spatially separate and diverse plant communities at two locations suggest that L. apache are dispersed among available vegetation types. These data, along with 22 previously published collection site records, were used with a suite of physiographic features to characterize the biogeographic conditions suitable for L. apache. Suitable conditions encompass three life zones: the Rocky Mountain steppe province, the Colorado semi-plateau province, and the American semi-desert province, all within the dry domain region of the western U.S. The potential range of L. apache was then estimated based on elevation, mean and max - min temperature, precipitation, wet days, and relative humidity. The estimated range includes large contiguous areas in north-central Colorado, east-central New Mexico and west Texas, the lower mid-Rio Grande River valley, and southern Arizona, along with smaller, patchy, areas in northern Arizona, California, Nevada, Utah, and central Idaho. The spatial relationship between the estimated distribution of L. apache and the location of livestock exposed to vesicular stomatitis virus at the onset of recent outbreaks is presented.

Altitude↗

[Comparing the performance of three severity scoring systems for ICU patients: APACHE III, SAPS II, MPM II].

OBJECTIVES: To evaluate the predictive validity of three scoring systems; the acute physiology and chronic health evaluation(APACHE) III, simplified acute physiology score(SAPS) II, and mortality probability model (MPM) II systems in critically ill patients. METHODS: A concurrent and retrospective study conducted by collecting data on consecutive patients admitted to the intensive care unit (ICU) including surgical, medical and coronary care unit between January 1, 2004, and March 31, 2004. Data were collected on 348 patients consecutively admitted to the ICU (aged 16 years or older, no transfer, ICU stay at least 8 hours). Three models were analyzed using logistic regression. Discrimination was assessed using receiver operating characteristic (ROC) curves, sensitivity, specificity, and correct classification rate. Calibration was assessed using the Lemeshow-Hosmer goodness of fit H-statistic. RESULTS: For the APACHE III, SAPS II and MPM II systems, the area under the receiver operating characterist ic(ROC) curves were 0.981, 0.978, and 0.941 respectively. With a predicted risk of 0.5, the sensitivities for the APACHE III, SAPS II, and MPM II systems were 81.1, 79.2 and 71.7%, the specificities 98.3, 98.6, and 98.3%, and the correct classification rates 95.7, 95.7, and 94.3%, respectively. The SAPS II and APACHE III systems showed good calibrations(chi-squared H=2.5838 p=0.9577 for SAPS II, and chi-squared H=4.3761 p=0.8217 for APACHE III). CONCLUSIONS: The APACHE III and SAPS II systems have excellent powers of mortality prediction, and calibration, and can be useful tools for the quality assessment of intensive care units (ICUs).

Acute Disease↗

Evaluation of the APACHE II scoring system in an Israeli intensive care unit.

The objective of our study was to evaluate the applicability of the Acute Physiology and Chronic Health Evaluation (Apache II) scoring system in an Israeli general intensive care unit (GICU), and to monitor the outcome of care using the Apache II severity score. We compared over a 3-year period the distribution of Apache II score, and of hospital mortality in our GICU (790 consecutive admissions) to that of the original American study, using a prediction formula based on 5,815 admissions in the United States. Our admissions were classified as post-elective surgery, post-emergency surgery or nonsurgical. Patients' ages were 53 +/- 21 years. The mean APache II score was 13.3 +/- 7.8, and was significantly lower in the 612 survivors (11.1 +/- 6.7) than in the 178 nonsurvivors (19.2 +/- 8.4). The in-hospital mortality rate was higher, 22.5%, compared to the predicted 18.3% (odds ratio 1.14, 95% CI 1.01, 1.27). The majority of excess mortality occurred in the nonsurgical group (odds ratio 1.27, 95% CI 1.09, 1.48). We found the Apache II score useful for determining the severity of illness in our GICU. The Apache equation accurately predicts the mortality of elective and emergency surgery admissions, but underestimates the mortality of nonsurgical admissions.

Adolescent↗

APACHE II, POSSUM, and ASA scores and the risk of perioperative complications in patients with oral or oropharyngeal cancer.

BACKGROUND: The indications for surgical treatment of patients with head and neck cancer can be limited by the risk of perioperative complications. Prediction of outcome is important in disease stratification and the subsequent decision-making process. OBJECTIVE: To assess the value of the APACHE II (Acute Physiology and Chronic Health Evaluation II) score, POSSUM (Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity), and ASA (American Society of Anesthesiologists) classification in the prediction of complications in patients with oral or oropharyngeal cancer. METHODS: Five hundred thirty patients with oral or oropharyngeal carcinomas who underwent surgical treatment were evaluated using ASA, POSSUM, and APACHE II scores. The outcome measure was morbidity within 30 days. Logistic regression and receiver operating characteristic curve analyses were used to estimate the predictive ability of the scoring systems. RESULTS: The overall complication rate was 58.9%. Most of the patients had local complications. The mortality was 2.6%. The results showed that APACHE II (relative risk, 1.09; P =.001) and POSSUM (relative risk, 1.09; P<.001) equally predicted perioperative complications and were superior to the ASA system (relative risk, 0.98; P =.89) (area under the curve, 0.65 for APACHE II, 0.68 for POSSUM, and 0.56 for ASA). CONCLUSIONS: The POSSUM and APACHE II scores were useful in predicting perioperative morbidity for patients with oral or oropharyngeal cancer, serving as objective methods to assist the surgeon in classifying patients into risk groups with different probabilities of perioperative complications. The poorer results achieved with the ASA classification are possibly because this system is primarily based on subjective clinical judgments.

APACHE↗

Physician risk assessment and APACHE scores in cardiac care units.

BACKGROUND: The need to correct outcome data for case mix is well recognized, but risk assessment for coronary care unit (CCU) patients remains problematic. HYPOTHESIS: This study determined the feasibility of using physicians' opinions to predict mortality for CCU patients and compared their results to Acute Physiology and Chronic Health Evaluation II (APACHE II) scores. METHODS: A prospective observational study was performed on consecutive patients admitted to a university-affiliated Veterans Affairs Medical Center CCU over a 2-month period. Physician assessment of likely mortality during hospitalization, obtained using an MD Prognosis Score ranging from 1 (best) to 7 (worst), was compared with APACHE II scores. RESULTS: MD Prognosis Scores were obtained on 122 of the 237 eligible patients (51% response rate) and averaged 2.3 +/- 1.4 (mean +/- standard deviation). APACHE II scores on these patients averaged 9.9 +/- 4.8 (range 2-29) with very poor correlation between the two methods (r = 0.3). Of the four patients who died, three had MD prognosis scores of 7. None of the survivors had scores of 7 and only three had scores of 6. APACHE II did not predict a high likelihood that any of the patients would die (none with > 90% likelihood of mortality). CONCLUSIONS: APACHE scores are inadequate for cardiac patients. Although physicians can identify CCU patients most likely to die, reliance on physician scoring systems is limited by difficulties in obtaining their opinion. A new method of risk assessment for acutely ill cardiac patients is needed if CCU outcomes are to be compared across institutions.

APACHE↗

Intra-observer variability in APACHE II scoring.

Although the APACHE II score is the most widely used scoring system in intensive care units worldwide, its reliability and variability have not been extensively studied. Differences in case-mix may complicate comparison and interpretation of results. We hypothesised that a degree of variability might be inherent to use of the APACHE II scoring system, and decided to assess intra-observer variability in APACHE II scoring as a potential indicator of inherent score variability. APACHE II scores were assessed twice from the charts of 11 patients by 14 physicians, with a time interval of 4 (range 3.5-4.5) months between the two assessments. Intra-observer was found to be approximately 15%. These findings are in agreement with previous observations regarding inter-observer variability in APACHE II scoring, and strongly suggest that there is an inherent score variability of about 15%.

APACHE↗

Predictive accuracy of severity scoring system: a prospective cohort study using APACHE III in a Korean intensive care unit.

AIM: To evaluate the discrimination, calibration, and uniformity of fit by age group, operative status, and location before ICU admission of APACHE III in a single-center ICU population. DESIGN AND SETTING: Prospective data collection in a 25 bed mixed (surgical and medical) ICU of 850-bed teaching hospital in Pusan, South Korea. SUBJECTS AND METHODS: The worst values on APACHE III variables during 24h following ICU admission were collected from the patient's charts and clinical flow sheets of 284 consecutively admitted subjects. RESULTS: The mortality rate was 31.0%, and showed a strong positive correlation between APACHE III score (r=0.97, p<0.0001 for entire population, r=0.97, p<0.0001 for medical patients, r=0.91, p<0.0001 for surgical patients). Hospital mortality was significantly higher for medical patients than surgical patients (OR=7.23, 95% CI=3.76-13.88), and for patients located in the operating room than at ward before admitting ICU (OR=0.09, 95% CI=0.04-0.23). At the predicted risk of 0.5 (66 of APACHE III score), sensitivity was 0.72, specificity 0.91, and correct classification rate 0.85. Area under the ROC curve was 0.905 (95% CI=0.867-0.943). Correlation coefficient (r) between observed and expected mortality rate was 0.99. The value (chi-square) of Lemeshow-Hosmer (L-H) goodness-of-fit statistic was 6.54 (p=0.59). In patients stratified according to age groups, operative status, and location in the hospital before ICU admission, discrimination was generally good in all subgroups (area under the ROC curve >0.85), and the chi-squared of L-H goodness-of -fit statistic showed a good fit for all subgroup, especially for operative status. CONCLUSIONS: The predictive accuracy of the APACHE III scoring system showed better discrimination, as well as uniformity of fit. So, it was thought that could be utilized for the subject hospital.

APACHE↗

[Severity assessment by APACHE III system in Spain].

BACKGROUND: To assess the performance of the prediction equation of the APACHE(Acute Physiology Age and Chronic Health Evaluation) III prognostic scoring system when applied in Spain. PATIENTS AND METHOD: Prospective multicenter cohort study that included 10786 adult patients from 86 Spanish intensive care units (ICU). Data collection during first 24 hours of admission: acute physiology score, age and comorbilties,for calculating APACHE III score; treatment location prior to ICU admission and main diagnosis admission category for applying the mortality prediction equation of APACHE III system. Main outcome was observed hospital mortality. RESULTS: Age was 57.74 (0.16); 68% males. Non-operative patients represented 76% of sample. APACHE III score was 53.75(0.26); observed and predicted hospital mortality were 21.2% and 19.8% respectively, with a standardized mortality ration of 1.07. The Chi2 Hosmer-Lemershow statistic was (H) 135.6, (C) 133.91: p < 0.001. The area under the Receiver Operating Curve (ROC) was 0.808, and correct classification at mortality risk of 50% was 82%. Uniformity of fit was better for non-operative diagnoses and for patients admitted from the emergency area. Calibration was excellent for risk lower than 60% but slightly underestimated observed risks above this level. CONCLUSIONS: The American APACHE III equation fit well when applied to Spanish critical patients but with limitations. Discrepancies could be attributed to differences in case-mix and variations in practice style.

APACHE↗

Acute generalized peritonitis in African children: assessment of severity of illness using modified APACHE II score.

BACKGROUND: Generalized surgical acute abdomen is a significant cause of morbidity and mortality among children. Severity assessment is useful in order to prioritize treatment and reduce complications. Patients with a high severity score are often faced with high morbidity and mortality, thus, requiring more intensive treatment than those with low severity scores. The purpose of the present study was to assess the severity of the acute abdomen in paediatric patients using a modification of the acute physiological and chronic ill-health evaluation II score (APACHE II). METHODS: Children admitted and operated on for generalized acute abdomen over a period of 7 years from January 1993 to December 1999 were prospectively studied. A study proforma was drafted and demographic, clinical, preoperative, operative and postoperative data on each patient were entered. Each patient had severity of illness assessed using APACHE II parameters with minor modification to make it applicable to children. Postoperative outcome and severity of illness were compared to determine any correlation. RESULTS: There were 69 patients operated on within the period of the study. Age ranged from 3 months to 15 years, with a mean of 9.1 SD 4.3 years. Forty-two patients (61.2%) were male and 27 (39.8%) were female. Typhoid intestinal perforation accounted for 35 (50.7%) and intestinal obstruction with or without intestinal gangrene accounted for nine (13%). Modified APACHE II score ranged from 0 to 18, mean 8.5 SD 5. For survivors, the mean score was 8; for non-survivors, 13. Eight patients died (11.6%): four of 63 (6.4%) patients who scored 0-15 died; four of six (66.7%) patients who scored 16-18 (P < 00.05) died. A modified APACHE II score greater than 15 was associated with a significantly greater mortality. The data for postoperative morbidity and hospital stay were not conclusive. CONCLUSION: Although the APACHE II score was designed for adults, a modification can be suitably applied to predict mortality in children with generalized peritonitis. There will be a need to apply this to large number of patients in order to validate our finding.

APACHE↗

Preoperative APACHE II and ASA scores in patients having major general surgical operations: prognostic value and potential clinical applications.

OBJECTIVE: To assess the prognostic value of the APACHE II score and the American Society of Anesthesiologists (ASA) classification system in preoperative evaluation of patients. DESIGN: Prospective study. SETTING: University hospital, Italy. SUBJECTS: 187 consecutive patients undergoing elective or emergency major general surgical operations. INTERVENTIONS: Patients were evaluated preoperatively using both indices. MAIN OUTCOME MEASURES: Morbidity and mortality within 30 days. RESULTS: Logistic regression and ROC curve analyses showed that the APACHE II score predicted morbidity and mortality well; it was superior to the ASA system in predicting outcome (area under the curve 0.894 for the APACHE II index, 0.777 for the ASA system; p < 0.001). The APACHE II score without its age points (area 0.888) had the same prognostic value as the complete score (area 0.894; p = 0.55). CONCLUSIONS: The APACHE II score may help clinicians to evaluate preoperatively the risk of postoperative morbidity and death after major general surgical operations. Age does not seem to have a specific weight.

APACHE↗

Delta APACHE II for predicting course and outcome of nosocomial Staphylococcus aureus bacteremia and its relation to host defense.

To predict at an early phase the clinical course and outcome of nosocomial Staphylococcus aureus bacteremia, the APACHE II score at onset of bacteremia was calculated in 99 patients. A delta APACHE II score (i.e., the difference between this score and one calculated for the day before the bacteremia) was also determined. This delta APACHE II score was highly significantly correlated with clinical course (P<.001) and outcome (P<.001). The risk of a complicated clinical course and of dying from S. aureus bacteremia is determined at the very onset of bacteremia, and this risk can best be assessed by calculating the delta APACHE II score. Furthermore, a positive correlation was found between delta APACHE II scores and the level of serum opsonic activity (P=.003) toward S. aureus. Therefore, the complicated clinical course of S. aureus bacteremia is not due to a relative lack of specific opsonins.

APACHE↗

Does Acute Physiologic and Chronic Health Evaluation (APACHE II) scoring predict need for prolonged support after coronary revascularization?

Significant intensive care unit (ICU) resources are allocated to patients recovering from coronary artery bypass graft (CABG) procedures, suggesting that a system to identify patients at risk for prolonged ICU therapy would help to enhance the use of this resource. To test the hypothesis that post-CABG patients likely to require prolonged ICU stay could be identified at the time of admission using the Acute Physiologic and Chronic Health Evaluation (APACHE II) system for scoring the severity of illness, we retrospectively reviewed the length of ICU stay for all patients recovering from CABG procedures over 1 yr, comparing the APACHE II scores assigned to patients requiring the longest stay with scores for patients with the briefest stay to determine whether a difference in score corresponded with the difference in length of stay. All medical records were reviewed and the physiologic variables (n = 12) used to assess acute physiologic status were recorded. Perioperative therapeutic interventions having significant impact on the physiologic variables used to derive the APACHE II score also were recorded. The study group was defined as patients requiring ICU care lasting between 14 and 84 days (n = 20); a control group of 23 patients was randomly selected from 124 patients having an ICU stay of 48 h or less. The overall APACHE II scores, and the component scores used to derive the overall scores, were calculated for both groups and were compared. The mean APACHE II score for the study group was 23.5 compared with 13.2 (P < 0.001) for the control group.(ABSTRACT TRUNCATED AT 250 WORDS)

APACHE↗

The APACHE II score is unreliable to diagnose necrotizing pancreatitis on admission to hospital.

INTRODUCTION: The APACHE II score is highly recommended worldwide for the assessment of severe pancreatitis (interstitial and necrotizing), and a score of at least eight points on admission to the hospital is said to indicate severe pancreatitis. AIM: To evaluate this assumption and to check whether an APACHE II score of at least eight points really indicates necrotizing pancreatitis as shown by contrast-enhanced computed tomography (CT). METHODOLOGY: This study included 326 patients with a first attack of acute pancreatitis and is part of a prospective study on the natural course of acute pancreatitis. All patients underwent contrast-enhanced CT within 72 hours of admission. The following parameters for the severity of the disease were used: respiratory and renal failure according to the Atlanta classification; indication for dialysis, ventilation, and surgery; time spent in intensive care unit and total hospital stay; Ranson score adjusted for cause; Imrie score; and Balthazar score (CT). RESULTS: Of the 326 patients, 262 (80%) had interstitial pancreatitis and 64 (20%) had necrotizing pancreatitis. In 74 (28%) of the 262 patients with interstitial pancreatitis, the APACHE II score was at least eight points, indicating severe pancreatitis (overestimation of the disease), whereas the score was less than eight in 41 (64%) of 64 patients with necrotizing pancreatitis (underestimation). Sensitivity was 36%; specificity was 72%; the positive predictive value was 24%; and the negative predictive value was 82%. CONCLUSION: The evaluation of sensitivity, specificity, and positive and negative predictive value for all APACHE II score points showed that there was not a "golden" cutoff to detect necrotizing pancreatitis. We conclude that the APACHE II score on admission to the hospital is unreliable to diagnose necrotizing pancreatitis.

APACHE↗

Intensive care unit length of stay: Benchmarking based on Acute Physiology and Chronic Health Evaluation (APACHE) IV.

OBJECTIVE: To revise and update the Acute Physiology and Chronic Health Evaluation (APACHE) model for predicting intensive care unit (ICU) length of stay. DESIGN: Observational cohort study. SETTING: One hundred and four ICUs in 45 U.S. hospitals. PATIENTS: Patients included 131,618 consecutive ICU admissions during 2002 and 2003, of which 116,209 met inclusion criteria. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The APACHE IV model for predicting ICU length of stay was developed using ICU day 1 patient data and a multivariate linear regression procedure to estimate the precise ICU stay for randomly selected patients who comprised 60% of the database. New variables were added to the previous APACHE III model, and advanced statistical modeling techniques were used. Accuracy was assessed by comparing mean observed and mean predicted ICU stay for the excluded 40% of patients. Aggregate mean observed ICU stay was 3.86 days and mean predicted 3.78 days (p < .001), a difference of 1.9 hrs. For 108 (93%) of 116 diagnoses, there was no significant difference between mean observed and mean predicted ICU stay. The model accounted for 21.5% of the variation in ICU stay across individual patients and 62% across ICUs. Correspondence between mean observed and mean predicted length of stay was reduced for patients with a short (< or =1.7 days) or long (> or =9.4 days) ICU stay and a low (<20%) or high (>80%) risk of death on ICU day 1. CONCLUSIONS: The APACHE IV model provides clinically useful ICU length of stay predictions for critically ill patient groups, but its accuracy and utility are limited for individual patients. APACHE IV benchmarks for ICU stay are useful for assessing the efficiency of unit throughput and support examination of structural, managerial, and patient factors that affect ICU stay.

APACHE↗

Impact of operator expertise on collection of the APACHE II score and on the derived risk of death and standardized mortality ratio.

We assessed the impact of operator expertise on collection of the APACHE II score, the derived risk of death and standardized mortality ratio in 465 consecutive patients admitted to a multi-disciplinary tertiary hospital ICU. Research coordinators and junior clinical staff independently collected the APACHE II variables; experts (senior clinical staff) rescored 20% of the records. Agreement was moderate between junior clinical staff and research coordinators or senior clinical staff for most variables of the acute physiology score (weighted kappa<0.6); agreement between research coordinators and senior clinical staff data collectors was good (weighted kappa >0.75). The APACHE II score and its derived risk of death (ROD) were significantly lower using the junior clinical staff dataset compared to research coordinators and senior clinical staff (APACHE II score: 13.4+/-9.2 vs 16.8+/-8.5 vs 17.1+/-7 7, P<0.001; ROD: 14.7%+/-22.4% vs 21.6%+/-22.6% vs 20.8%+/-22.4%, P<0.01 respectively). The discriminative capacity was not altered by the lack of agreement (area under Receiver Operator Characteristic curve >0.8) but calibration of ROD from the junior clinical staff dataset was poor (Goodness-of-fit: P= 0.001). The standardized mortality ratio (SMR) was higher with the junior clinical staff dataset (SMR: 1.22, 95% CI: 0.96-1.52 vs 0.87, 95% CI: 0.70-1.06 vs 0.76, 95% CI: 0.40-1.3 calculated from junior clinical staff research coordinators and senior clinical staff datasets respectively). We conclude that the expertise of data collectors significantly influences the APACHE II score, the derived risk of death and the standardized mortality ratio. Given the importance of such scores, ICUs should be provided with sufficient resources to train and employ dedicated data collectors.

APACHE↗