3 resultados para Intensive care unit (ICU)
em Scielo España
Resumo:
Background: Anthropometric indicators are difficult to interpret in very low birth weight (VLBW) premature infants, including both appropriate for gestational age (AGA) and small for gestational age (SGA) infants. Therefore, the purpose was to describe the anthropometric indicators of growth and nutritional status in VLBW premature infants AGA and SGA, hospitalized in a neonatal intensive care unit (NICU). Study design: The descriptive and prospective study design included 114 preterm infants, adequate for gestational age/small for gestational age hospitalized in the intensive care unit. Head, thigh, mid upper arm circumference, skin-fold measurements and weight/age, length/ age, and weight/length indices were obtained. Correlations were made among the anthropometric indices, and a multivariate regression analysis with weight/age as dependent variable was performed. Results: Weight/age in AGA premature infants had high number of significant anthropometric correlations. The SGA premature infants had few and weak correlations. The regression analysis showed that anthropometric indices better explain changes in the weight/age index in adequate for gestational age premature infants. Conclusion: Weight/age in the VLBW/AGA premature infants could reflect growth, nutritional status and energy stored as fat, but in the VLBW/SGA premature infants, thigh circumference and mid arm circumference would be better indicators just of nutritional status.
Resumo:
Background and Objectives: Both psychiatric acute units and psychiatric intensive care units (PICUs) focus on acute treatment of behavioral disturbances such as violence and aggressive threats and acts. The aim of the present study is to describe the frequency of violent behavior; such as verbal or physical threats and physical attacks, among patients admitted to psychiatric intensive care unit (PICU). In addition the relationship between the episodes of threats and/or attacks in relation to time of the day, days of the week, and their seasonal variations was explored. Methods: All violent behavior was continuously assessed at the psychiatric emergency department. Data were collected during the period from May 2010 to May 2012. Results: Patients with only one hospitalization were less violent than those who have had two hospitalizations. There was a statistically significant difference in violence among patients without formal secondary education and those who have not formal education. Violent behavior showed two peaks during the day; the first occurring at 1 pm and the second at 8 pm. In regard to seasonality, summer had a higher incidence of violence. The most peaceful seasons of the year were spring and autumn. Conclusions: Violent behavior shows variation in daytime, days of the week and season in acute psychiatric intensive care. Daytime variation shows two peaks of violence at 1 pm and 8 pm, Sundays and Wednesdays being the quietest days regarding violence both in winter and summer. Patient's level of education and hospitalization status partially explain the variation.
Resumo:
Objective: We investigate the influence of caloric and protein deficit on mortality and length of hospital stay of critically ill patients. Methods: A cohort prospective study including 100 consecutive patients in a tertiary intensive care unit (ICU) receiving enteral or parenteral nutrition. The daily caloric and protein deficit were collected each day for a maximum of 30 days. Energy deficits were divided into critical caloric deficit (≥ 480 kcal/day) and non-critical caloric deficit (≤ 480 kcal/day); and in critical protein deficit (≥ 20 g/day) and non-critical protein deficit (≤ 20 g/day). The findings were correlated with hospital stay and mortality. Results: The mortality rate was 33%. Overall, the patients received 65.4% and 67.7% of the caloric and protein needs. Critical caloric deficit was found in 72% of cases and critical protein deficit in 70% of them. There was a significant correlation between length of stay and accumulated caloric deficit (R = 0.37; p < 0.001) and protein deficit (R = 0.28; p < 0.001). The survival analysis showed that mortality was greater in patients with both critical caloric (p < 0.001) and critical protein deficits (p < 0.01). The Cox regression analysis showed that critical protein deficit was associated with higher mortality (HR 0.25, 95% CI 0.07-0.93, p = 0.03). Conclusions: The incidence of caloric and protein deficit in the ICU is high. Both caloric and protein deficits increase the length of hospital stay, and protein deficit greater than 20 g/day is an independent factor for mortality in critical care unit.