Relationship between mortality and first-day events index from routinely gathered physiological variables in ICU patients.

OBJECTIVE: To test the hypothesis that the degree and duration of alterations in physiological variables routinely gathered by intensive care unit (ICU) monitoring systems during the first day of admission to the ICU, together with a few additional routinely recorded data, yield information similar to that obtained by traditional mortality prediction systems. DESIGN: A prospective observational multicenter study (EURICUS II) was carried out. SETTING: Fifty-five European ICUs. PATIENTS: A total of 17,598 consecutive patients admitted to the ICU over a 10-month period. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Hourly data were manually gathered on alterations or "events" in systolic blood pressure, heart rate and oxygen saturation throughout ICU stay to construct an events index and mortality prediction models. RESULTS: The mean first-day events index was 6.37±10.47 points, and was significantly associated to mortality (p<0.001), with a discrimination capacity for hospital mortality of 0.666 (area under the ROC curve). A second index included this first-day events index, age, pre-admission location, and the Glasgow coma score. A model constructed with this second index plus diagnosis upon admission was validated by using the Jackknife method (Hosmer-Lemeshow, H=13.8554, insignificant); the area under ROC curve was 0.818. CONCLUSIONS: A prognostic index with performance very similar to that of habitual systems can be constructed from routine ICU data with only a few patient characteristics. These results may serve as a guide for the possible automated construction of ICU prognostic indexes.

Tiss 76 and Tiss 28: correlation of two therapeutic activity indices on a Spanish multicenter ICU database.

OBJECTIVES: To evaluate the performance of the Simplified Therapeutic Intervention Scoring System (TISS 28) on an independent database and to determine its relation to the original Therapeutic Intervention Scoring System (TISS 76). DESIGN: Analysis of the database of the Spanish prospective multicenter study PAEEC (Project for the Epidemiological Analysis of Critical Care Patients). SETTING: 86 intensive care units (ICUs) in Spain. PATIENTS: Data on 8838 patients admitted to the ICUs. MEASUREMENTS AND RESULTS: Administrative data, main diagnostic category, severity score [Acute Physiology and Chronic Health Evaluation (APACHE) II and III] and data for the calculation of the TISS 76 and TISS 28 were collected during the first 24 h after the patient's ICU admission. TISS 76 and TISS 28 scores were calculated and analyzed on how they varied according to other variables (diagnostic group, severity level, hospital size and age). The association between TISS 76 and TISS 28 was studied. The TISS 76 score was 21 +/- 10.5 points and the TISS 28 score 23.3 +/- 8.8 points. There was a good correlation between TISS 76 and TISS 28 (r = 0.85). The regression equation was: TISS 28 = 8.35 + (0.712 x TISS 76). The TISS 28 score behaved similarly to the TISS 76 score in relation to the other variables, with a positive correlation between the therapeutic and the severity level (APACHE II and III) and a negative correlation between therapeutic activity and age, with very similar correlation coefficients. Both TISS 28 and TISS 76 scores were higher in larger hospitals. CONCLUSIONS: There is a strong correlation between TISS 28 and TISS 76 scores in the PAEEC database and TISS 28 works correctly in our setting.

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.

The Apache III prognostic system: customized mortality predictions for Spanish ICU patients.

OBJECTIVE: To customize the Acute Physiology and Chronic Health Evaluation (APACHE) III mortality equation for Spanish admissions to the intensive care unit (ICU) and evaluate its discrimination and calibration. DESIGN: Prospective multicenter inception cohort study. SETTING: 86 ICUs located in all regions of Spain. PATIENTS: 10,929 adult patients selected by a systematic sampling method. All types of critical care patients were included, including coronary bypass patients, but excluding those with burn injury, those admitted for pacemaker implants, patients under 16 years of age, and patients with length of ICU stay < 6 h. MEASUREMENTS AND RESULTS: Data collection in the first 24 h after patient admission included: APACHE III score, treatment location prior to ICU admission, and main ICU admission diagnosis. Using these variables, a model for predicting hospital mortality was constructed, adapted to Spain, and its discriminating ability was assessed by the area below the ROC curve, which was 0.83. The model was validated using the jacknife method and the area below the receiver operating characteristic (ROC) curve for the cross-validated predictions was 0.82. The percentage of patients correctly classified at 0.50 risk of death was 82.3%. Model calibration was evaluated by analysis of the agreement between the observed and cross-validated predicted mortality using the Hosmer-Lemeshow test, which gave a value of (H) 12.27, with no statistical significance, i.e., good calibration. CONCLUSIONS: We have customized the APACHE III mortality prediction system for the Spanish population. This adapted model has demonstrated the requisite validation, calibration, and discrimination for its use among Spanish critical care patients.

Thrombolytic treatment for massive thrombosis of prosthetic cardiac valves.

OBJECTIVE: To present the efficacy of thrombolytic treatment in place of emergency surgery in massive thrombosis of prosthetic cardiac valves (TPCV), and to set out the diagnostic criteria and the patients' evolution. DESIGN: Retrospective study. SETTING: Coronary Care Unit of a Spanish reference hospital. PATIENTS: 7 patients admitted into the ICU with 10 episodes of TPCV and with advanced functional class. INTERVENTIONS: The diagnosis of TPCV was arrived at through clinical data and was confirmed by Doppler-echocardiography before treatment. Thrombolytic treatment (streptokinase, urokinase or rt-PA) was used. The analysis of paired samples between the data before and after treatment was used. MEASUREMENTS AND RESULTS: All the patients underwent an improvement in their clinical condition. A reduction of sPAP and in the mean transprosthetic gradient and an increase in the effective valvular area was achieved. Four patients needed surgical intervention during their follow-up. No case required emergency surgery. One patient died after surgery and the other 6 patients are alive after follow-up of 6-33 months. With the fibrinolytic treatment hemorrhagic complications were always controlled. None of the treated patients presented embolic complications. CONCLUSIONS: Fibrinolytic treatment is the recommended initial treatment in cases of massive TPCV. When fibrinolysis is only partially successful, reoperation can be performed at lower risk. Doppler echocardiography is fundamental in the diagnosis of TPCV and in monitoring the response to fibrinolytic treatment.

Increase in lung volume originated by extrinsic PEEP in patients with auto-PEEP. The role of static lung compliance.

The use of extrinsic positive end expiratory pressure (PEEPe) in patients with auto-PEEP (AP) can reduce the respiratory work during weaning from mechanical ventilation. However, the application of PEEPe can produce a certain level of hyperinflation, an undesirable effect which can limit the efficacy of the reduction of respiratory work. The objective of the present study has been to determine if the increase in end expiratory lung volume (EELV) originated by the PEEPe is related to static lung compliance (SLC). We have studied 14 patients on mechanical ventilation in whom an AP of between 4 and 12 cmH2O was detected. On applying PEEPe equal to half the AP, the EELV increased slightly (77 +/- 64 ml) and was not related to pulmonary compliance. When PEEPe equal to the AP was applied, the EELV increased by 178 +/- 110 ml (range 45-375 ml, p less than 0.05), and there was a significant correlation with SLC (r = 0.659, p less than 0.05). In conclusion, the application of PEEPe equal to the AP causes a moderate increase in EELV. However, in patients with high pulmonary compliance this increase can be more important and must be taken into account when considering the use of PEEPe during weaning.

Gentamicin therapy monitoring in seriously compromised patients.

Gentamicin therapy was monitored in 30 patients with severe infection and other concomitant disease states. The application of the nomogram of Hull and Sarubbi [6] produced good plasma levels and disappearance of the infective agent without evidence of drug toxicity in 70% of patients. The remaining 30% did not respond satisfactorily to the treatment and showed low drug serum concentrations; and them had heavy fluid losses; when we modified their treatment, outside of the nomogram guidelines, we observed a better response. Since gentamicin distributes essentially in extracellular water, subjects who have alterations of body fluids regulation should be carefully controlled.

Acute respiratory distress syndrome: resource use and outcomes in 1985 and 1995, trends in mortality and comorbidities.

PURPOSE: The purpose of this study was to compare resource consumption and mortality between (ARDS) patients with adult respiratory distress syndrome treated at our center in 1985 (45 patients) and those treated in 1995. MATERIALS AND METHODS: This was a retrospective observational study, considering trauma and nontrauma ARDS separately. We recorded severity index scores (APACHE III), infectious complications and multiorgan failure, intensive care unit (ICU) resource consumption (TISS 28), length of stay, time on mechanical ventilation, and ICU mortality. RESULTS: We found no variation in overall ARDS mortality and no reduction in mortality in the ARDS trauma group (43.5% in 1985 vs. 38.5% in 1995, not significant) but a significant increase in mortality among nontrauma septic ARDS patients (68.2% vs. 82.9%, P < .001), largely attributable to the new comorbidities of human immunodeficiency virus (HIV) infection and hematologic malignancy. TISS-28 showed an overall reduction over this time period (49.7 +/- 6.6 vs. 38.3 +/- 9.7, P < .001), due to fewer monitoring measures, particularly a lower use of pulmonary artery catheter. There were no overall changes in length of stay or days on mechanical ventilation between 1985 and 1995, but these variables did increase among the trauma subgroup. CONCLUSION: In our setting, mortality remained constant from 1985 to 1995 among ARDS trauma patients but not among nontrauma ARDS patients because of the new case-mix of the latter population, which now includes HIV and other immunodepressed patients.

Theophylline binding to plasma proteins in patients with chronic obstructive pulmonary disease.

The binding of theophylline to plasma proteins was studied in samples from healthy adults at different pH values and drug concentrations and in samples from patients with chronic obstructive pulmonary disease (COPD). Binding determinations were performed by ultrafiltration and drug concentrations were measured by high performance liquid chromatography. Total plasma levels of theophylline did not influence the degree of the binding. The percentage of bound theophylline was positively correlated with pH both in vitro (r = 0.998, p less than 0.005) and in vivo (r = 0.579, p less than 0.005). Mean theophylline binding values in vivo (mean 56.3 +/- 12.5) and in vitro (mean 48.3 +/- 9.4) were significantly different. The increase in theophylline free levels detected in COPD patients was partially dependent on low pH values but the influence of other factors must also be considered. The therapeutic implications of altered theophylline binding are discussed.

[Evaluation of the cost of an intensive medicine unit. Relationship between the cost and the severity of the disease]. / Valoración del coste de una unidad de medicina intensiva. Relación del coste con la gravedad del enfermo.

BACKGROUND: The evaluation of the costs of intensive care is a subject of interest at present, due to the high resources required by this area of health care services and the rhythm at which these costs increase. Such an evaluation has rarely been carried out in Spain. The aim of this study was to quantify the cost of medical care to critical patients in an Intensive Care Unit (ICU) in addition to evaluate the relationship between the severity of the disease and the short term result of intensive health care. METHODS: A prospective study was carried out in 1,184 patients admitted (February 1985-February 1986) to the ICU of the Hospital General de Especialidades Virgen de las Nieves in Granada (Spain). Variables collected were the severity of the patient (APACHE II), therapeutic intensity (TISS) received, diagnosis on admission and state on discharge. A detailed and individualized evaluation was performed concerning the costs of hospital stay and treatment in the ICU. RESULTS: The cost per patient per day in the ICU was found to 54,438 pesetas in 1988. A significant association was demonstrated with age, severity, therapeutic intensity and the result of the stay in the unit, being much higher in the patients who died in the ICU, particularly in those in whom the prognosis "a priori" was good. CONCLUSIONS: A significant relation was found between the cost and severity of the disease, with the maximum costs being found in patients in whom survival was expected but who died and vice versa.

[Severity assessment by APACHE III system in Spain]. / Objetivación de la gravedad mediante el sistema APACHE-III aplicado en España.

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.

[Ulysses network: an approach to integral post-ICU treatment of patients with multiple organ dysfunction syndrome]. / Red Ulises: aproximación al tratamiento integral post-UCI de los pacientes que han padecido fallo multiorgánico grave.

The concept of continuity of care by intensivists as an element of quality control in the medical care of Intensive Care Unit (ICU) patients surviving multiple organ dysfunction syndrome has led to a rethinking of the ICU model in recent years. We discuss the rationale to design and implement a hospital-based, prospective, randomized, multicenter Intervention/Control study in order to estimate the impact of an interdisciplinary intervention during the post-ICU recovery phase on medium-term medical outcomes in ICU patients with multiple organ dysfunction.

Relationship between mortality and first-day events index from routinely gathered physiological variables in ICU patients

Objective: To test the hypothesis that the degree and duration of alterations in physiological variables routinely gathered by intensive care unit (ICU) monitoring systems during the first day of admission to the ICU, together with a few additional routinely recorded data, yield information similar to that obtained by traditional mortality prediction systems. Design: A prospective observational multicenter study (EURICUS II) was carried out. Setting: Fifty-five European ICUs. Patients: A total of 17,598 consecutive patients admitted to the ICU over a 10-month period. Interventions: None. Main variables of interest: Hourly data were manually gathered on alterations or "events" in systolic blood pressure, heart rate and oxygen saturation throughout ICU stay to construct an events index and mortality prediction models. Results: The mean first-day events index was 6.37±10.47 points, and was significantly associated to mortality (p: <0.001), with a discrimination capacity for hospital mortality of 0.666 (area under the ROC curve). A second index included this first-day events index, age, pre-admission location, and the Glasgow coma score. A model constructed with this second index plus diagnosis upon admission was validated by using the Jackknife method (Hosmer-Lemeshow,H: =13.8554, insignificant); the area under ROC curve was 0.818. Conclusions: A prognostic index with performance very similar to that of habitual systems can be constructed from routine ICU data with only a few patient characteristics. These results may serve as a guide for the possible automated construction of ICU prognostic indexes (AU)

Objetivo: Comprobar si el grado y duración de las alteraciones en las variables fisiológicas recogidas en la monitorización rutinaria en UCI durante el primer día de estancia, junto con pocos datos adicionales, proporcionan información similar a la obtenida con los sistemas tradicionales de predicción de mortalidad. Diseño: Estudio observacional, prospectivo y multicéntrico (EURICUS-II). Ámbito: 55 UCIs de Europa. Pacientes: 17.598 pacientes consecutivos, ingresados durante 10 meses. Intervenciones: ninguna. Variables de interés principales: se recogieron manualmente datos horarios sobre alteraciones o "eventos" en la presión arterial sistólica, frecuencia cardiaca y saturación de oxígeno, para construir un índice basado en estos eventos y un modelo de predicción de mortalidad. Resultados: El índice de eventos el primer día fue 6,37±10,47 puntos y se asoció significativamente con la mortalidad (p<0,001), con una capacidad de discriminación (área bajo la curva ROC) para la mortalidad de 0.666. Se construyó un segundo índice que incluye este índice de eventos en el primer día, la edad, procedencia del ingreso y puntuación de la Escala de Coma de Glasgow. Un modelo construido con este segundo índice más el diagnóstico fue validado mediante el método jackknife (Hosmer-Lemeshow, H=13.8554, no significativo), con un área bajo la curva ROC de 0,818. Conclusiones: Se puede construir un índice pronóstico con rendimiento similar al de los sistemas habituales a partir de los datos de monitorización de los pacientes en la UCI junto a escasas características del paciente. Nuestros resultados pueden servir de guía para la posible construcción automatizada de índices pronósticos (AU)

Limitation of therapeutic activity in elderly critically ill patients. Project for the Epidemiological Analysis of Critical Care Patients.

OBJECTIVE: To establish whether the age of patients admitted into the intensive care unit (ICU) influences the amount of therapy received. DESIGN: Observational, prospective, multicenter study. SETTING: Eighty-six multidisciplinary ICUs in Spain, including coronary patients. PATIENTS: The patients (n = 8,838) were studied during a 6-month period between 1992 and 1993. Patients < 16 yrs of age and patients dying within the first 6 hrs were excluded from the study. MEASUREMENTS AND MAIN RESULTS: We collected data on age, gender, type of diagnosis at the time of admission, severity level by Acute Physiology and Chronic Health Evaluation (APACHE) II and III, quality of life survey score, therapeutic activity during the first 24 hrs by Therapeutic Intervention Scoring System, and ICU and hospital mortality rates. In the sample of patients, 12.5% were > 75 yrs of age. Compared with younger patients, these patients had higher APACHE II (18.41 +/- 0.23 vs. 15.14 +/- 0.09 points, p < .001) and APACHE III (65.8 +/- 0.81 vs. 53.32 +/- 0.33 points, p < .001) scores, a higher quality of life survey score (i.e., worse quality of life, 7.19 +/- 0.19 vs. 3.86 +/- 0.05 points, p < .001), and a greater ICU mortality rate (21.9% vs. 15.3%, p < .00001) and hospital mortality rate (30.8% vs. 19.3%, p < .00001). However, patients > 75 yrs had a lower Therapeutic Intervention Scoring System score (19.83 +/- 0.28 vs. 21.17 +/- 0.12 points, p < .001). Multivariate analysis showed that once severity, need for mechanical ventilation, diagnostic group, and mortality rate were taken into account, there was less therapeutic activity in patients > 75 yrs of age. CONCLUSIONS: Patients > 75 yrs of age represent a large proportion of patients in Spanish ICUs. Although their mortality rate and severity scores were higher than those values in younger patients, patients > 75 yrs of age received less therapy.

Quality of life before intensive care unit admission and its influence on resource utilization and mortality rate.

OBJECTIVE: To analyze the quality of life of critically ill patients before their intensive care admission and its relation to age, variables measured in the intensive care unit (ICU; severity of illness, therapeutic effort, resource utilization, and length of stay), and in-hospital mortality rate. DESIGN: Observational prospective multicenter study. SETTING: Eighty-six medical-surgical ICUs in Spain, including coronary patients. PATIENTS: We studied 8,685 patients between 1992 and 1993. Patients <16 yrs old and those dying within the first 6 hrs were excluded. MEASUREMENTS AND MAIN RESULTS: Data collection included age, gender, admission diagnosis, severity level by Acute Physiology and Chronic Health Evaluation (APACHE) III, quality of life survey score, therapeutic activity level by Therapeutic Intervention Scoring System (TISS), and ICU and hospital mortality rate. Pre-ICU quality-of-life score was 3.74 +/- 4.42 points; 33.24% of patients had a normal quality of life (0 points), and numbers of patients declined logarithmically in relationship to increasing quality-of-life scores, with only 189 patients having a score >15 points. Pre-ICU quality-of-life score correlated with age (r =.289, p <.001), with severity level by APACHE III score (r =.217, p <.001), and weakly with TISS (r =.067, p <.001). There was no correlation between quality of life and length of ICU stay. Patients dying in hospital after ICU discharge (n = 429) had worse quality of life (5.88 +/- 5.38 points) than those dying in the ICU (n = 1,453, 4.8 +/- 4.94), who themselves had a worse quality of life than hospital survivors (n = 6,803, 5.05 +/- 5.07; p <.0001 by analysis of variance), with significant differences between all three groups. In the multivariate analysis, pre-ICU quality-of-life was related to age, APACHE III score, and hospital mortality rate but not to TISS or ICU length of stay. Pre-ICU quality of life was introduced as a variable in the APACHE III prediction model and entered the model after acute physiology score, diagnosis, and age and before prior patient location and comorbidities. The area under the receiver operating characteristics curve was 0.834 when quality-of-life was included and 0.83 when not. CONCLUSIONS: In Spain, the quality of life of critically ill patients before their ICU admission is good, and only a small proportion of patients have a low quality of life before admission. Previous quality of life is related to hospital mortality rate but contributes very little to the discriminatory ability of the APACHE III prediction model and has little influence on ICU resource utilization as measured by length of stay and therapeutic activity.