Manejo del trauma de tórax y características demográficas, Hospital Vicente Corral Moscoso. Cuenca – Ecuador.

Objetivo: Analizar el manejo del trauma de tórax en el Hospital Vicente Corral Moscoso y describir las características demográficas de la población estudiada. Método: Estudio descriptivo retrospectivo, la muestra fue de 167 pacientes atendidos en el servicio de Emergencia del Hospital Vicente Corral Moscoso, con diagnóstico de trauma de tórax, durante el periodo enero de 2013 a junio de 2015; los datos se obtuvieron de las historias clínicas. Se analizaron las variables de datos demográficos y tratamiento, utilizando frecuencias, porcentajes y chi cuadrado. Se empleó el programa SPSS versión 18, Excel 2010. Resultados: La edad promedio fue de 37 años, con mayor frecuencia en varones con el 84.4%. Los diagnósticos fueron: hemotórax 36.53%, neumotórax 25.75%, hemoneumotórax 27.54%. El 4.8% de los pacientes recibió tratamiento no quirúrgico, el 82.6% avenamiento pleural; al 12.6% se practicó toracotomías al ingreso. Al 19.8% se realizó toracotomía durante la estancia hospitalaria debido a complicaciones como el hemotórax coagulado o residual. La mortalidad fue del 5.4% (9 pacientes), 7 presentaron lesiones extra torácicas. Conclusiones: El trauma de tórax se presentó en alto porcentaje en la tercera década de vida y se resolvió mayormente con avenamiento pleural. Las lesiones extra torácicas incrementan la mortalidad y necesitan un manejo multidisciplinario.

Valoración del dolor en el paciente con trauma grave y ventilación mecánica no comunicativo

Pain is defined since 1979 by the International Association for the Study of Pain (IASP) as "unpleasant subjective, sensory and emotional experience associated with actual or potential damage of tissue", with the concept more acceptable in our days. The Intensive Care Unit (ICU) is a complex environment to assess pain, where the difficulty in communication with the patient is the biggest barrier to getting your "selfreport", which is considered the gold standard in pain assessment. Many factors alter communication with critically ill patients, as the low level of consciousness, mechanical ventilation, sedation, and the patient's own pathology, besides, there are other limitations such as excessive technology or devices that can divert professional attention to the patient's pain behavior, and lack of training and guidance for management. The multicenter study SUPPORT, it showed that 50-65% of critical patients included suffered pain, and 15% of them reported moderate to severe intensity for more than half the period of hospitalization. Critically ill patients experience pain due to high volume of potentially painful techniques applied to them during their ICU admission, emphasizing nursing care and tracheal suctioning, mobilization, wound healing and channeling of catheters and others. The underestimation of pain involves physiological and hemodynamic effects such as increased blood pressure and/or heart rate, altered breathing pattern, and psychological and anxiety. Also an increase of sedation and mechanical ventilation time and ICU stay of increasing the morbidity and mortality of critically ill patients...

The Scored Patient-Generated Subjective Global Assessment (PG-SGA) and its Association with Quality of Life in Ambulatory Patients Receiving Radiotherapy

OBJECTIVE: To evaluate the scored Patient-generated Subjective Global Assessment (PG-SGA) tool as an outcome measure in clinical nutrition practice and determine its association with quality of life (QoL). DESIGN: A prospective 4 week study assessing the nutritional status and QoL of ambulatory patients receiving radiation therapy to the head, neck, rectal or abdominal area. SETTING: Australian radiation oncology facilities. SUBJECTS: Sixty cancer patients aged 24-85 y. INTERVENTION: Scored PG-SGA questionnaire, subjective global assessment (SGA), QoL (EORTC QLQ-C30 version 3). RESULTS: According to SGA, 65.0% (39) of subjects were well-nourished, 28.3% (17) moderately or suspected of being malnourished and 6.7% (4) severely malnourished. PG-SGA score and global QoL were correlated (r=-0.66, P<0.001) at baseline. There was a decrease in nutritional status according to PG-SGA score (P<0.001) and SGA (P<0.001); and a decrease in global QoL (P<0.001) after 4 weeks of radiotherapy. There was a linear trend for change in PG-SGA score (P<0.001) and change in global QoL (P=0.003) between those patients who improved (5%) maintained (56.7%) or deteriorated (33.3%) in nutritional status according to SGA. There was a correlation between change in PG-SGA score and change in QoL after 4 weeks of radiotherapy (r=-0.55, P<0.001). Regression analysis determined that 26% of the variation of change in QoL was explained by change in PG-SGA (P=0.001). CONCLUSION: The scored PG-SGA is a nutrition assessment tool that identifies malnutrition in ambulatory oncology patients receiving radiotherapy and can be used to predict the magnitude of change in QoL.

Clinical Accuracy of the MedGem Indirect Calorimeter for Measuring Resting Energy Expenditure in Cancer Patients

OBJECTIVE: To compare, in patients with cancer and in healthy subjects, measured resting energy expenditure (REE) from traditional indirect calorimetry to a new portable device (MedGem) and predicted REE. DESIGN: Cross-sectional clinical validation study. SETTING: Private radiation oncology centre, Brisbane, Australia. SUBJECTS: Cancer patients (n = 18) and healthy subjects (n = 17) aged 37-86 y, with body mass indices ranging from 18 to 42 kg/m(2). INTERVENTIONS: Oxygen consumption (VO(2)) and REE were measured by VMax229 (VM) and MedGem (MG) indirect calorimeters in random order after a 12-h fast and 30-min rest. REE was also calculated from the MG without adjustment for nitrogen excretion (MGN) and estimated from Harris-Benedict prediction equations. Data were analysed using the Bland and Altman approach, based on a clinically acceptable difference between methods of 5%. RESULTS: The mean bias (MGN-VM) was 10% and limits of agreement were -42 to 21% for cancer patients; mean bias -5% with limits of -45 to 35% for healthy subjects. Less than half of the cancer patients (n = 7, 46.7%) and only a third (n = 5, 33.3%) of healthy subjects had measured REE by MGN within clinically acceptable limits of VM. Predicted REE showed a mean bias (HB-VM) of -5% for cancer patients and 4% for healthy subjects, with limits of agreement of -30 to 20% and -27 to 34%, respectively. CONCLUSIONS: Limits of agreement for the MG and Harris Benedict equations compared to traditional indirect calorimetry were similar but wide, indicating poor clinical accuracy for determining the REE of individual cancer patients and healthy subjects.

Correcting for bias when estimating the cost of hospital-acquired infection : an analysis of lower respiratory tract infections in non-surgical patients

Hospital acquired infections (HAI) are costly but many are avoidable. Evaluating prevention programmes requires data on their costs and benefits. Estimating the actual costs of HAI (a measure of the cost savings due to prevention) is difficult as HAI changes cost by extending patient length of stay, yet, length of stay is a major risk factor for HAI. This endogeneity bias can confound attempts to measure accurately the cost of HAI. We propose a two-stage instrumental variables estimation strategy that explicitly controls for the endogeneity between risk of HAI and length of stay. We find that a 10% reduction in ex ante risk of HAI results in an expected savings of £693 ($US 984).

Smoothing a Discrete Hazard Function for the Number of Patients Colonized with Methicillin-Resistance Staphylococcus Aureus in an Intensive Care Unit

A new method for estimating the time to colonization of Methicillin-resistant Staphylococcus Aureus (MRSA) patients is developed in this paper. The time to colonization of MRSA is modelled using a Bayesian smoothing approach for the hazard function. There are two prior models discussed in this paper: the first difference prior and the second difference prior. The second difference prior model gives smoother estimates of the hazard functions and, when applied to data from an intensive care unit (ICU), clearly shows increasing hazard up to day 13, then a decreasing hazard. The results clearly demonstrate that the hazard is not constant and provide a useful quantification of the effect of length of stay on the risk of MRSA colonization which provides useful insight.