"A proportion of those with eating disorders have also experienced traumatic events and ongoing symptoms of PTSD such as re-experiencing of the trauma and nightmares. We implemented an innovative trauma intervention called Imagery Rescripting (ImRs) to explore whether for those undergoing inpatient treatment for an eating disorder (in an underweight phase), it would be possible to treat the various trauma-related symptoms as well as the eating problems. Since this has not been investigated before, we asked the participants in this study to recount their experiences. Twelve participants who were underweight, reported a past history of trauma and were in an inpatient eating disordertreatment program participated in ImRs therapy intervention. One of these participant did not engage in the ImRs therapy because she discontinued the inpatient ED treatment. Analysis of interviews with these participants found that -although they were reluctant before the start of the treatment- the ImRs treatment during their inpatient admission had given them hope again. They added that it was important to have support from group members, sociotherapists and therapists. They shared a number of ways that the ImRs treatment could be adapted to people with eating disorders. Their experiences indicated that given these factors it was possible to treat PTSD during an underweight phase. This is important: until now, treatment for eating disorders has not specifically been trauma-focused and these tips have scope to improve the ImRs intervention and eating disorder treatment more broadly in the future."
MULTIFILE
Background: Although diagnosing and treating malnutrition, sarcopenia and underweight are recommended to be embedded and sustained within nutritional care, it is unknown if that is facilitated in geriatric rehabilitation. This study determined the proportion of geriatric rehabilitation inpatients with malnutrition, sarcopenia or underweight receiving dietetic interventions as part of routine clinical care and if these patients have greater improvements in body weight and composition compared to patients not receiving dietetic interventions.Methods: Geriatric rehabilitation inpatients from the observational REStORing health of acutely unwell adulTs (RESORT) cohort were included (n=971, median age 83.2 [77.7-88.8] years, 58.5% (n=568) females). Malnutrition, sarcopenia and underweight were defined by the Global Leadership Initiative of Malnutrition, European Working Group on Sarcopenia in Older People 2 and age-specific body mass index cut-offs. Data on dietetic interventions initiated by dietitians as part of clinical care was extracted from the centralised hospital database. Changes in body weight (kg), skeletal muscle mass (kg, %), and fat mass (kg, %) from admission to discharge were determined using linear mixed models.Results: Dietetic interventions were received by 306 (62.0%), 138 (71.5%) and 153 (76.9%) of patients with malnutrition (n=493), sarcopenia (n=193) and underweight (n=199). Duration and frequency of dietetic interventions were higher in patients with malnutrition, sarcopenia or underweight compared to patients without those conditions. There were no differences in body weight/composition changes in patients with malnutrition, sarcopenia or underweight receiving dietetic interventions compared to those not receiving interventions.Conclusions: One-third of geriatric rehabilitation inpatients with malnutrition, sarcopenia or underweight are not receiving dietetic interventions and therefore the referral and diagnostic process require improvements. Patients with malnutrition, sarcopenia or underweight receiving dietetic interventions had no greater improvements in body weight/composition compared to those who did not receive interventions. Tailoring dietetic interventions for malnutrition, sarcopenia and underweight diagnosis may improve patient outcomes.
MULTIFILE
BACKGROUND: When indirect calorimetry is not available, predictive equations are used to estimate resing energy expenditure (REE). There is no consensus about which equation to use in hospitalized patients. The objective of this study is to examine the validity of REE predictive equations for underweight, normal weight, overweight, and obese inpatients and outpatients by comparison with indirect calorimetry.METHODS: Equations were included when based on weight, height, age, and/or gender. REE was measured with indirect calorimetry. A prediction between 90 and 110% of the measured REE was considered accurate. The bias and root-mean-square error (RMSE) were used to evaluate how well the equations fitted the REE measurement. Subgroup analysis was performed for BMI. A new equation was developed based on regression analysis and tested.RESULTS: 513 general hospital patients were included, (253 F, 260 M), 237 inpatients and 276 outpatients. Fifteen predictive equations were used. The most used fixed factors (25 kcal/kg/day, 30 kcal/kg/day and 2000 kcal for female and 2500 kcal for male) were added. The percentage of accurate predicted REE was low in all equations, ranging from 8 to 49%. Overall the new equation performed equal to the best performing Korth equation and slightly better than the well-known WHO equation based on weight and height (49% vs 45% accurate). Categorized by BMI subgroups, the new equation, Korth and the WHO equation based on weight and height performed best in all categories except from the obese subgroup. The original Harris and Benedict (HB) equation was best for obese patients.CONCLUSIONS: REE predictive equations are only accurate in about half the patients. The WHO equation is advised up to BMI 30, and HB equation is advised for obese (over BMI 30). Measuring REE with indirect calorimetry is preferred, and should be used when available and feasible in order to optimize nutritional support in hospital inpatients and outpatients with different degrees of malnutrition.
LINK
