[Classification of mental disorders in the Intensive Care Unit]

PURPOSE

To determine the incidence and characteristics of mental disorders (MD) in the Intensive Care Unit (ICU), and to define a classification system adapted to the ICU environment.

DESIGN

A retrospective, descriptive analysis.

SETTING

Intensive Care Unit, Arnau de Vilanova Hospital in Lérida (Spain).

PATIENTS

All patients with MD admitted during 5-year period (January, 1 2004 to December 31, 2008).

MAIN VARIABLES

General variables included clinical-demographic data, diagnostic variables, procedures, severity score, length of stay and mortality. Specific variables included psychiatric history, screening for substance abuse, psychiatric assessment, monitoring and transfer to a psychiatric center. Classification of the MD was as follows: 1) acute substance intoxication (SI); 2) suicide attempts (SA); and 3) MD associated with the main diagnosis (AMD).

RESULTS

A total of 146 patients had MD (7.8%); they were predominantly male (74%) and were younger than the general ICU population (43.9 vs. 55.3 years, p<0.001). The ICU stays of the patients with MDs were shorter (4 days vs. 7 days, p<0.001), and there was less hospital mortality (17.1 vs. 25%, p<0.05). They also showed a higher incidence of pneumonia (19.9 vs. 13.8%, p<0.05), but no differences in the level of severity were observed. The SI group (24.7%) contained the highest number of young people; the SA group (36.3%) showed a predominance of women; and the AMD (39%) group had the longest stays and the highest mortality. Psychiatric consultation was carried out mainly in the SA group (62.3%).

CONCLUSIONS

MD is a relatively common problem in the ICU. Collaboration with the Psychiatry Department seldom occurs, but must be encouraged to develop fully integrated management of critical patients with MD.

[Acute parotiditis after tracheostomy in Intensive Care]

Post-anesthesic parotiditis is a little known entity related with anesthesic procedures but described in any situation that motivates manipulation of the oropharyngeal cavity. Its physiopathological mechanism is not well-defined, although it could have a multifactorial origin. A case of a male who was admitted for post-operative control of brain tumor exeresis and who had preauricular and submaxillary inflammation after a routinely performed tracheostomy is presented. Coincidence with the performing of a tracheostomy required us to propose the differential diagnosis with the complications associated to said surgical act. Post-anesthesic parotiditis, even though it is a rare complication and has no clinical significance, should be kept in mind when there is facial edema after any manipulation of the oropharyngeal cavity.

Aplicación de las redes neuronales artificiales para la estratificación de riesgo de mortalidad hospitalaria

OBJECTIVE

To compare the ability of an artificial neural network (ANN) to predict hospital mortality with that of the Acute Physiology and Chronic Health Evaluation II (APACHE II) system and multiple logistic regression (LR). A secondary objective was to compare the allocation of individual probability among the models.

METHOD

The variables required for calculating the APACHE II were prospectively collected. A total of 1146 patients were divided (randomly 70% and 30%) into the Development (800) and the Validation (346) sets. With the same variables an LR model and an ANN were carried out (a 3-layer perceptron trained by algorithm backpropagation with bootstrap resampling and with 9 nodes in the hidden layer) in the Development set. The models developed were contrasted with the Validation set and their discrimination properties were evaluated using the area under the ROC curve (AUC [95% CI]) and calibration with the Hosmer-Lemeshow C (HLC) test. Differences between the probabilities were evaluated using the Bland-Altman test.

RESULTS

The Validation set showed an APACHE II with an AUC = 0.79 (0.75-0.84) and HLC = 11 (p = 0.329); LR model AUC = 0.81 (0.76-0.85) and HLC = 29 (p = 0.0001) and an ANN AUC = 0.82 (0.77-0.86) and HLC = 10 (p = 0.404). The patients with the most important differences in the allocation of probability between LR and ANN (8% of the total) were neurological. The worst results were found in trauma patients with an AUC of not greater than 0.75 in all the models. In respiratory patients, the ANN achieved the best AUC = 0.87 (0.78-0.91).

CONCLUSIONS

The ANN was able to stratify hospital mortality risk by using the APACHE II system variables. The ANN tended to achieve better results than LR, since, in order to work, it does not require lineal restrictions or independent variables. Allocation of individual probability differed in each model.

Skin lesions in the ICU

OBJECTIVE

The objective of this study is to identify the dermatological disorders (DDs) responsible for the most common skin lesions in the ICU, their incidence and their impact on mortality, degree of severity and length of stay in the ICU.

DESIGN AND SETTING

We performed a 2-year prospective study in a general medical and surgical ICU including, exceptionally, paediatric cases.

PATIENTS

We included all patients who presented skin lesions upon admission or developed them during their ICU stay.

RESULTS

Forty-six patients (10% of all admissions) were enrolled, with 51 DDs. SAPS II score (43) and mean length of stay (19 days) were significantly higher than in the general group of ICU admissions. Differences in mortality rates (26% versus 29%) were not statistically significant.

CONCLUSIONS

DDs are entities that should be borne in mind in the critically ill patient; their incidence is by no means negligible and makes careful examination of the skin mandatory both on admission and during a patient's ICU stay.