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Inhalation injuries are currently the factor most responsible for mortality in thermally injured patients. Inhalation injuries may occur independently, but generally occur together with skin burn. Smoke inhalation affects all levels of the respiratory system and the extent of the inhalation injury depends on the duration, exposure, amount and toxicity of the fume temperature, concentration and solubility of toxic gases, the occurrence of the accident in a closed space and pre-existing diseases. Smoke inhalation also induces changes in the systemic organs with the need for more fluid for resuscitation. Systemic vasoconstriction, with an elevation in systemic vascular resistance, a fall in myocardial contractility and a great increase in lymphatic flow in soft tissue are the most important changes in systemic organs. On admission of a burn patient there is a high suspicion of inhalation injury when there are signs and symptoms such as hoarseness, strides, dyspnea, carbonaceous sputum, anxiety or disorientation, with or without face burns. The patient with these findings has partial airway obstruction and there is substantial risk complete airway obstruction occurring of secondary to the edema. Patients with suspected inhalation injury should be intubated so as to maintain airway patency and avoid a total obstruction. This group of patients frequently develop respiratory failure with the need for mechanical ventilatory support. Nosocomial infections, sepsis and multiple organ system failure may occur. Late complications of inhalation injury are tracheitis, tracheal stenosis or tracheomalacia and chronic airway disease, which is relatively rare. Early diagnosis of inhalation injury and treatment in a Burn Unit by a group of highly motivated clinicians and a good team of nurses is essential in order to decrease the morbidity and mortality related to inhalation injury.

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OBJECTIVE: The objective of the study was to develop a model for estimating patient 28-day in-hospital mortality using 2 different statistical approaches. DESIGN: The study was designed to develop an outcome prediction model for 28-day in-hospital mortality using (a) logistic regression with random effects and (b) a multilevel Cox proportional hazards model. SETTING: The study involved 305 intensive care units (ICUs) from the basic Simplified Acute Physiology Score (SAPS) 3 cohort. PATIENTS AND PARTICIPANTS: Patients (n = 17138) were from the SAPS 3 database with follow-up data pertaining to the first 28 days in hospital after ICU admission. INTERVENTIONS: None. MEASUREMENTS AND RESULTS: The database was divided randomly into 5 roughly equal-sized parts (at the ICU level). It was thus possible to run the model-building procedure 5 times, each time taking four fifths of the sample as a development set and the remaining fifth as the validation set. At 28 days after ICU admission, 19.98% of the patients were still in the hospital. Because of the different sampling space and outcome variables, both models presented a better fit in this sample than did the SAPS 3 admission score calibrated to vital status at hospital discharge, both on the general population and in major subgroups. CONCLUSIONS: Both statistical methods can be used to model the 28-day in-hospital mortality better than the SAPS 3 admission model. However, because the logistic regression approach is specifically designed to forecast 28-day mortality, and given the high uncertainty associated with the assumption of the proportionality of risks in the Cox model, the logistic regression approach proved to be superior.