[Evaluation of the efficiency of care in the ICU]. / Evaluación de eficiencia asistencial en UCI.

OBJECTIVE: To evaluate the efficiency of care in the ICU using a predictive model. DESIGN: A prospective, observational cohort study SETTINGS: Seventeen Spanish polyvalent ICUs. PATIENTS: A total of 1956 patients were initially considered (cohort A). Posteriorly, and at 6-year intervals, we documented cohorts B (n=453), C (n=2567) and D (n=711) in one of the studied ICUs. METHOD: Five standard severity indices were calculated for all cohorts, and with these the standardized mortality ratios (observed/calculated) for each cohort were compared. Multiple regression analysis was used to develop a predictive model of length of stay in the ICU (ICU-LOS). This model was used for calculation of the standardized LOS ratios for each cohort. We analyzed the organizational changes in the studied ICU during these periods in relation to the results obtained. RESULTS: The calculated probability of in-hospital death was 15.4%, versus 14.7% as calculated 24 hours after admission. Actual in-hospital mortality was 20.3%. A final multiple regression model was constructed. Standardized LOS and mortality ratios were 1.8 and 1.2 (cohort B), 0.97 and 1.07 (cohort C), and 0.63 and 1.07 (cohort D), respectively. The progressive improvement in the results observed was related to the introduced organizational and structural changes. CONCLUSIONS: The model developed in this study was a good predictor of actual ICU-LOS, and both LOS and mortality analysis could be a good tool for ICU care evaluation.

[Study on the clinicopathological correlation in the secondary acute respiratory distress syndrome]. / Estudio sobre la correlación clínico-patológica en el síndrome de distrés respiratorio agudo secundario.

OBJECTIVE: This study has aimed to study the clinicopathological correlation of patients with secondary acute respiratory distress syndrome (ARDS), specifically having extrapulmonary causes. SETTING: A 22 beds intensive care unit. DESIGN: An observational study of case series. PATIENTS: Seventeen patients whose death was caused by acute respiratory distress syndrome were included. INTERVENTION: A systematic histopathological study was made of all the pulmonary lobes of patients who died in our ICU with the clinical diagnosis of secondary ARDS, who had undergone an autopsy between 1999 and 2009. The Kappa analysis was used to analyze the grade of correlation between the clinical and the pathological diagnosis. RESULTS: The autopsy confirmed to cases of false positive in 17 patients with ARDS (11%). The kappa value was 0.77, so that the concordance analysis was considered to be satisfactory. CONCLUSIONS: The clinical criteria for ARDS correlate well with acute alveolar damage (AAD) in the autopsy study in patients with secondary ARDS, although some false positive cases can be observed.

Assessment of the prognosis of coronary patients: performance and customization of generic severity indexes.

STUDY OBJECTIVE: To assess the prognostic performance of general severity systems (APACHE II [acute physiology and chronic health evaluation], simplified acute physiology score [SAPS II], and mortality probability models [MPM II]) in coronary patients and to derive new customized indexes for coronary patients using a reduced number of variables. DESIGN: Inception cohort. SETTING: Adult medical and surgical ICUs in 17 hospitals in Catalonia and the Balearic Islands. PATIENTS: Four hundred fifty-six patients with acute myocardial infarction. MEASUREMENTS AND RESULTS: The APACHE II, SAPS II, and MPM II variables and survival status at hospital discharge have been collected. Performance of the severity systems was assessed by evaluating calibration and discrimination. Logistic regression was used to customize the MPM II(24) and SAPS II indexes. Discrimination was high enough for all of the models. However, calibration of the MPM II(24) was not as satisfactory as for the other models. The MPM II(24) and SAPS II were both reduced to five variables (MPM II(24 cor:) age, PaO2, continuous vasoactive drugs, urinary output, and mechanical ventilation; SAPS II(cor:) age, PaO2/FI(O2) ratio, systolic BP, Glasgow coma score, and urinary output). Both models showed better calibration and discrimination than the original ones. CONCLUSIONS: Prognostic indexes developed for multidisciplinary patients show good performance when applied to patients with acute myocardial infarction, but customization can reduce the number of variables necessary to compute them without a loss of, and a possible improvement in, prognostic accuracy.

[Meningoencephalomyelitis caused by Borrelia burgdorferi: a case without epidemiologic history or chronic migratory erythema]. / Meningoencefalomielitis por Borrelia burgdorferi: un caso sin antecedentes epidemiológicos ni de eritema crónico migratorio.

A patient is reported with meningoencephalomyelitis with polyradiculitis caused by Borrelia burgdorferi infection. Neurological features developed without previously known tick bite nor the characteristic skin lesion, chronic migratory erythema (CME). The vector of the disease (the tick Ixodes ricinus) exists in Spain, but only one case of meningopolyradiculitis with CME has been reported in Asturias. Our case stresses that B. burgdorferi infection should be suspected in cases of meningoencephalomyelitis or meningopolyradiculitis even without previous skin or joint lesion.

[Logistic model for predicting the prognosis in patients with intra-abdominal infection based on the APACHE II index]. / Modelo logístico de predicción del pronóstico en pacientes con infección intraabdominal a partir del índice APACHE II.

BACKGROUND: The APACHE II method has been widely used to classify patients according to disease severity. The high mortality and the lack of reliable prognostic parameters justify the study and application of indexes of severity (IS) and prognostic indexes (PI) in patients with intraabdominal sepsis. METHODS: A prospective study is presented concerning 100 patients with intraabdominal sepsis in whom a prognostic index derived from the APACHE II method by means of a logistic regression model was applied. In this model the APACHE II score is used as the only independent variable with the aim of predicting the outcome (mortality or survival) at the time of hospital admission. RESULTS: The predictive values obtained, with a 70% probability of mortality taken as the cut-off point, were: sensitivity 100%, specificity 87.7% and total predictive capacity 91%. CONCLUSIONS: It was concluded that the logistic prediction model of prognosis shows a high correlation with patient outcome and the application of the APACHE II score is useful in patients with intraabdominal infection.

Inflammatory mechanisms in the lung.

Inflammation is the body's response to insults, which include infection, trauma, and hypersensitivity. The inflammatory response is complex and involves a variety of mechanisms to defend against pathogens and repair tissue. In the lung, inflammation is usually caused by pathogens or by exposure to toxins, pollutants, irritants, and allergens. During inflammation, numerous types of inflammatory cells are activated. Each releases cytokines and mediators to modify activities of other inflammatory cells. Orchestration of these cells and molecules leads to progression of inflammation. Clinically, acute inflammation is seen in pneumonia and acute respiratory distress syndrome (ARDS), whereas chronic inflammation is represented by asthma and chronic obstructive pulmonary disease (COPD). Because the lung is a vital organ for gas exchange, excessive inflammation can be life threatening. Because the lung is constantly exposed to harmful pathogens, an immediate and intense defense action (mainly inflammation) is required to eliminate the invaders as early as possible. A delicate balance between inflammation and anti-inflammation is essential for lung homeostasis. A full understanding of the underlying mechanisms is vital in the treatment of patients with lung inflammation. This review focuses on cellular and molecular aspects of lung inflammation during acute and chronic inflammatory states.

Prognostic factors of severe Legionella pneumonia requiring admission to ICU.

Despite the fact that the epidemiology of community-acquired pneumonia and nosocomial Legionella infection is well known, there are no specific reports dealing with severe cases of Legionella pneumophila pneumonia admitted to intensive care units. We undertook a prospective study upon 84 patients with a reliable diagnosis of L. pneumophila pneumonia that required ICU admission. The study assessed the prognostic factors, clinical, radiological and outcome variables of both nosocomial (n = 33) and community-acquired (n = 51) cases of L. pneumophila pneumonia. The following variables were more common in nosocomial acquired as compared to community-acquired Legionella pneumonia: Chronic obstructive pulmonary disease (COPD) (64 versus 41%), cardiac disease (39 versus 10%), chronic renal failure (21 versus 4%), alcoholism (54 versus 18%), septic shock (33 versus 16%), and unilateral chest X-ray involvement (61 versus 39%). The crude mortality rate in this study was 30% (25 of 84) with no differences when comparing mortality between nosocomial (9, 27%) to community-acquired (16, 31%) types. The univariate analysis showed that cardiac disease, diabetes mellitus, creatinine > or = 1.8 mg/dl, septic shock, chest X-ray extension, mechanical ventilation, hyponatremia < or = 136 mEq/L, PACO2/FIO2 < 130, and blood urea levels > or = 30 mg/dl were factors related to poor outcome. On the other hand, the following two variables were related to better outcome: adequate treatment for Legionella and pneumonia improvement. The logistic regression analysis demonstrated that APACHE II score > 15 at admission (RR: 11.5; 95% CI 1.75 to 76.1; p = 0.025), and serum Na levels < or = 136 (RR: 21.3; 95% CI 1.11 to 408; p = 0.023), were the only independent factors related to death. On the other hand, improving pneumonia is associated with better outcome in Legionnaires' disease than for patients not having improving pneumonia (RR: 0.019; 95% CI: 0.036 to 0.106; p < 0.0001). A better understanding of the prognostic factors in cases of severe Legionella pneumonia will optimize our therapeutic approach in this disease and help to decrease both its mortality and morbidity rates.