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Objectives: To assess protein and energy intake and duration of venous-venous ECMO in critically ill patients with covid-19 Methods: We conducted a retrospective observational analysis on the intensive care units of a large tertiary private teaching Hospital. Adult patients admitted to intensive care unit (ICU) with laboratory confirmed SARS-CoV-2 (RT-PCR), cannulated on venous-venous ECMO and on exclusive enteral feeding were included. Data between march 2020 and june 2021 were collected. Weight and height data were acquired at the time of admission in ICU. Body mass index (BMI) was subsequently calculated. We obtained delivery and adequacy of nutrition data from a enteral nutrition form routinely filled out by nutritionists during hospitalization. Other data were obtained from electronic medical record. For statistical analysis of the data, we used SPSS version 13.0. Result(s): This cohort included 39 patients. 27 (69.2%) were men, mean age was 50 (+/- 12) years and 11 (28,2%) had more than 60 years. The more prevalent comorbidities were obesity in 22 (56%), hypertension in 20 (51,3%) and diabetes in 6 (15,4%) patients. The mean time on ECMO was 24.7 +/- 15.2 days. 29 patients (74%) died. Regarding nutritional support, the average protein intake was 0,9 +/- 0.4 g/kg/day and calories 13.9 +/- 5.2 cal/kg/day. No statistically significant association was observed between the nutritional intake and the duration on ECMO and clinical outcomes of patients. Conclusion(s): There was a high mortality in our cohort. Center;s inexperience may have played a role in these results, in addition to other factors. We observed a high prevalence of obesity. Neither energy nor protein intake were associated with the duration of ECMO and clinical outcomes. These results are similar to other recent observational studies where an insufficient energy and protein intake did not affected mortality or other outcomes. Our small sample and study design prevents a definitive conclusion on the subject. Thus, we propose further studies to elucidate the role of adequate nutrional strategies to improve outcomes and reabilitation of patients on ECMO.
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As a district general hospital (DGH) registrar, clinical duties are varied. The geographical location of these clinical duties can vary in different hospital settings. In our trust, the inpatient Haematology ward was reallocated to become the designated 'COVID ward' at the start of the pandemic, due to a lack of availability of side rooms in the hospital. Haematology inpatients are now managed on general medical wards, with no specific Haematology ward available. This has further increased the geographical spread of registrars' clinical duties. In order to quantify the impact of this geographical spread, we undertook an audit of physical activity over a four-week period. We included the physical activity during working hours recorded by the attending haematology registrar and an on call medical registrar for comparison. We collected data using smart devices on steps walked, distance travelled, time spent walking and calories burnt whilst walking. We collected data for all day shifts worked from 09:00-17: 00 for all days of the week. Overall, the attending haematology registrar walked an average of 10 241 steps a day, covering 7.87 km over a period of 107 min and burning 410 calories whilst active. The medical registrar walked an average of 7498 steps a day, covering 5.76 km over a period of 79 min and burning 300 calories whilst active. By comparison the attending haematology registrar covered 37% more steps per day than the medical registrar, a statistically significant difference (p-value 0.002, students unpaired t-test). During a 7.5 h working day (taking into account a contractual 30-min unpaid lunch break), our DGH haematology registrars spend 107 min walking, which is 24% of their working hours. Our results highlight the time pressures on DGH haematology registrars. Time pressures on registrars in London have become more important as a result of Health Education England's (HEE) medical specialty redistribution programme, which will see the number of specialty trainees in London reduced by 46% over 5 years. Addressing the geographical spread of clinical duties could help to reduce the time pressures on registrars allowing them to spend more time on providing a clinical service. We have presented our data to trust management as evidence to lobby for the creation of a new haematology ward, which has now been included in the plans for a new hospital at our trust.
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Background: Institutions across the country are experiencing delays in receipt of essential infant formula and feeding supplies due to a supply chain crisis. The supply chain crisis commenced during the COVID-19 pandemic and has continued into present day, late 2022. The supply chain crisis led to an unstable supply of ready to feed (RTF) infant formulas for a children's hospital within a medical center containing a neonatal ICU, pediatric ICU, pediatric floor and newborn nursery. RTF formulas are the recommended inpatient infant feeding due to their sterility. Method(s): To address these RTF formula supply challenges, interprofessional leadership from Clinical Nutrition, Nursing and Supply Chain developed a local infant formula committee. The committee convened based on the needs of the institution, ranging from daily to weekly beginning October 2021 to present day. A shared, live spreadsheet allowed for real time inventory of RTF formula on the Nursing units and amount of product pending receipt in supply chain. Upon identification of low RTF supply, increased usage or RTF outage, the committee implemented a three-tiered action plan for each unit. For the first tier, the formula roomdiluted a higher calorie RTF liquid with water to the desired calorie density (example RTF 24 to RTF 20 calorie/oz). The medical team had an infant formula substitution list to guide feeding alternatives for specialty preparations. In the second tier, the formula room prepared stock formula for each unit daily, with a 24-hour expiration time, to accommodate potential for rapid census changes outside of the formula room operation. As a third layer of safety, powder emergency stock was pre-measured and sent with instructions for Nursing to reconstitute with sterile water, in a dedicated space, if all stock RTF formula was used. The powder emergency stock expired in 30 days, which allowed for a longer shelf life than the stock RTF formula. Result(s): It is practical for institutions without a formula room to implement similar processes using dedicated infant formula preparation space and storage. It also worth mentioning during this time there was a national shortage of powdered infant formulas due to a recall issued in May of 2022 by a major formula manufacturer. The national shortage included elemental powdered formulas for which there is no RTF alternative. Management of elemental formula outages were managed on a case-by-case basis by the Clinical Nutrition department. The Committee also convened to discuss allocations and identify substitutions for other neonatal and pediatric specialty items including sterile water, feeding preparation bottles, ENFit syringes and syringe caps, breastmilk collection containers and infant feeding nipples. Conclusion(s): Using this three-tiered process, the medical center provided sterile RTF formula to infants when available, remained consistent with best practices, predicted inventory needs consistent with usage and prevented waste of powdered infant formula in a time of scarcity. Technology and the anticipatory interprofessional leadership using a three-tiered action plan equipped the medical center for this most extraordinary infant formula crisis nationally.
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Background: Patients with COVID-19 experience prolonged ICU stays. The rate of malnutrition in hospitalized patients remains controversial as well as the appropriate nutrition therapy for these patients. The purpose of the study was to evaluate the impact of nutrition support on clinical outcomes in critically ill patients with COVID-19. Method(s): This was a retrospective chart review involving 48 adults, critically ill patients admitted with confirmed SARS-CoV-2 infection. Data extracted included demographic, anthropometric, medical history, biochemical tests, medications, nutrition support protocol, clinical outcomes, length of stay, and ventilator status. We tested associations between aspects of nutrition support (such as early versus delayed feeding, adequacy, and patient positioning) and clinical outcomes (ICU length of stay, weight status, malnutrition status, refeeding syndrome, and ventilator days) using Chi-square, and t-tests, with significance established at the level of p <= 0.05. Result(s): Thirty-eight percent (18) of the patients met the criteria for malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) tool. Approximately 83% of these patients did not have a documented diagnosis of malnutrition in the electronic medical record. More than half of the patients in the study (58.3%) were placed in prone position as part of their treatment and only 7% of these had documented signs of feeding intolerance. None of the patients were switched to total parenteral nutrition (TPN). Only 37% of the patients received adequate protein within the first week of nutrition support while 98% had adequate or exceeded caloric needs. There was no difference in percent weight loss among patients who received inadequate protein compared to those who had adequate protein. Inadequate protein intake was associated with shorter ICU stays (p = 0.04) and fewer ventilator days (p = 0.01) compared to those with adequate protein. Patients who received inadequate or exceeded their calories needs also had shorter ICU stays and fewer ventilator days (p > 0.05). In the context of this study, shorter ICU stays translated into fewer days of life, as 98% of the studied population died before ICU discharge. There were no associations between early nutrition support and selected biochemical parameters. Conclusion(s): The rate of malnutrition was remarkable and largely undocumented. Most patients did not meet the minimum estimated protein needs. Studies with larger sample sizes are needed to examine appropriate protein needs and the effect of nutrition support in patients with COVID-19. Diagnosing and documenting malnutrition warrants heightened attention.
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Background: An emerging finding about COVID-19 is its effect on nutrition and weight loss. The COVID-19 symptoms of fatigue, altered taste or smell, and lack of appetite are well known. But COVID-19 may have a more profound effect on clinical nutrition status. Two recent studies have identified that approximately one-third of ambulatory COVID-19 patients are at risk of experiencing weight loss >= 5% (Anker, et al;di Filippo, et al). The case study presented here discusses home start total parenteral nutrition (TPN) in a patient recently diagnosed with COVID-19 at high risk for refeeding syndrome. Method(s): N/A Results: Case Study: A 92-year-old patient was diagnosed with COVID-19 on June 8, 2022. Over the next week, she was hospitalized twice to manage symptoms of acute mental status changes, lethargy, aphasia, hypotension, and loss of appetite. The patient received nirmatrelvir/ritonavir, remdesivir, and bebtelovimab to treat COVID-19 at different times between June 9, 2022, and June 18, 2022. She remained COVID positive and continued to deteriorate clinically. On June 20, 2022, the patient began receiving 24/7 homecare, including intravenous (IV) fluids of dextrose 5% in normal saline (D5NS) 1000 mL daily for three days. She continued to experience loss of appetite and had no bowel movement for 3 days. On June 23, 2022, she was referred to this specialty infusion provider to initiate TPN therapy in the home setting. The patient's BMI was 18.2 kg/m2. Lab results revealed potassium 3.0 mmol/L, phosphate 1.6 mg/dL, and magnesium 1.6 mg/dL. High risk of refeeding syndrome was identified by the level of hypophosphatemia and hypokalemia. The specialty infusion provider's registered dietitian recommended to discontinue D5NS and begin NS with added potassium, phosphate, and magnesium. Thiamine 200mg daily was added to prevent Wernicke's encephalopathy. The patient's clinical status and lab values were monitored closely each day until her electrolyte levels stabilized (Table 1). Home TPN therapy was initiated on June 28, 2022, with <10% dextrose and 50% calorie requirement with 85% protein and 1.0 g/kg lipids. Three-day calorie count and nutrition education were performed four days post TPN initiation. Oral intake met only 25% of estimated needs. Over several days, theTPN formula was gradually increased to goal calories and the infusion cycle was slowly decreased. The following week, the patient's oral intake improved to 60%-75% of estimated needs. Her constipation resolved, and she showed improvement in functional status and mobility. Her appetite drastically improved when the TPN was cycled. Another three-day calorie count was performed when TPN calories reached goals. Oral intake demonstrated 100% estimated calorie and protein needs. TPN therapy was ultimately discontinued on July 14, 2022. As of September 30, 2022, the patient has stabilized at her pre-COVID weight of 45 kg with full recovery of appetite, function, and cognition. Discussion(s): The ASPEN Consensus Recommendations for Refeeding Syndrome (da Silva, et al) describe the repletion of electrolyte levels before introducing calories to prevent end-organ damage associated with refeeding syndrome (respiratory muscle dysfunction, decreased cardiac contractility, cardiac arrhythmias, and encephalopathy). Conclusion(s): This case study highlights the successful initiation of home TPN therapy in a patient at high risk of refeeding syndrome post COVID-19 infection. Although home start TPN and the risk of refeeding syndrome are not new concepts, they must be considered in the setting of COVID-19. Given the effects COVID-19 has on taste, smell, and appetite and the recent finding that one-third of patients with COVID infection may experience weight loss of >= 5%, nutrition support and patient education are vital components of overall patient care. (Figure Presented).
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Background: Indirect calorimetry (IC) is the gold-standard procedure for measuring resting energy expenditure (REE) in hospitalized patients. Predictive energy equations commonly use static variables and rarely account for changes in REE throughout hospitalization. We hypothesize that predictive equations are typically inaccurate in surgical intensive care unit (ICU) patients. More specifically, we hypothesize that predictive equations often overpredict measured resting energy expenditure (mREE) in early-stage critical illness and underpredict needs later in surgical ICU stay, leading to over-/under-feeding and associated complications. Method(s): This prospective observational trial enrolled surgical ICU patients who underwent emergent or urgent operations for abdominal trauma, perforated viscus, or ischemic bowel within 72 hours of their surgical procedure. Metabolic assessments were performed using the COSMED Q-NRG + Metabolic Monitor ventilator, mask, and canopy at regular intervals during and post ICU admission until hospital discharge. Measurements were categorized by post-surgical intervention ICU admission days 0-3, 4-7, 8-14, 15-21, and 22-28. Patients with multiple measurements taken during the same time interval were averaged. mREE reported in calories (kcal) per kilogram (kg) of admission body weight per day were compared in obese (BMI > 30 kg/m2) and non-obese (BMI < 30 kg/m2) subgroups. Compared to IC, the Mifflin St Jeor (MSJ) equation determined predicted REE using ICU admission anthropometrics. Data are reported as mean+/-standard error of the mean (SEM) and median (interquartile range), and a two-sided p-value of <0.05 was determined significant. Result(s): In total, 18 surgical ICU patients who contributed 47 IC measurements were included in the analysis (Table 1). Most measures were obtained within the first 7 days of post-surgical ICU admission (72%). mREE peaked between days 8-14 in obese and non-obese subgroups (20.6 vs 28.5 kcal/kg;p = 0.02) and was lowest during 0-3 days of post-surgical ICU admission in both groups. Across all 5-time intervals, average kcal/ kg ranged from 14.7-20.6 among obese patients and from 20.1-28.5 in non-obese counterparts (Table 2). Non-obese patients had higher mREE per kg of body weight than obese patients at all time points (Figure 1). MSJ over-predicted mREE during the first 7 days post ICU admission in non-obese patients and within the first 3 days in obese patients and underpredicted mREE in both groups thereafter. Conclusion(s): Equations such as MSJ over- and under-predict mREE in post-operative surgical ICU patients depending on the days elapsed since post-surgical ICU admission. ASPEN's current guideline recommendation of 12-25 kcal/kg may also underfeed post-surgical populations while 25 kcal/kg may not support hypermetabolism among non-obese patients seen in week 2 following post-surgical ICU admission. Alternatively, MSJ multiplied by a 1.2 activity factor may account for hypermetabolism during this time. Notably, non-obese patients experienced greater hypermetabolism than obese patients during week 2 which is consistent with our previously published data in mechanically ventilated COVID- 19 patients. Additionally, the striking dichotomy between the mREE of obese and non-obese patients at all post-surgical time points should be considered in the clinical care of patients. Ultimately, IC remains the gold-standard means of measuring REE and is a critical tool to capture the dynamic nature of energy requirements in post-surgical populations as weight-based and predictive equations continually fall short. (Table Presented).
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Background: Optimal supportive care which includes adequate nutrient delivery remains the cornerstone in managing critically ill patients with COVID-19. Nutrition guiding principles for critically ill patients with COVID-19 strongly recommend providing early enteral nutrition (EEN) within 24-36 hours of admission to the intensive care unit (ICU) or within 12 hours of placement on mechanical ventilation (MV). Moreover, data show critically ill COVID-19 patients have negative alterations in their gut microbiome which is attributed to many factors including insufficient EN and fiber provision. The success and tolerance of EEN with a prebiotic formula in patients with COVID 19 is unknown. Here we aimed to assess, before and after implementation of an enteral feeding protocol, the achievement of EEN, estimated energy goals, and tolerance of a prebiotic formula in MV patients with COVID-19. Method(s): Data were collected and analyzed retrospectively from June 2020-May 2021 and prospectively from June 2021-January 2022. A protocol to promote EEN and improve nutrition delivery with a prebiotic-containing formula to patients within the seven days of ICU admission was created and implemented in June 2021 in the Medical ICU. Time to start EEN following invasive MV was assessed. Feeding adequacy over the first seven days of ICU admission was calculated by dividing the mean total calories of formula infused over the first seven ICU days by the estimated goal calories/day. The average number of bowel movements (BM) over the first seven ICU days was used to evaluate feeding tolerance. To determine the impact of inflammation and co-morbid conditions on feeding adequacy and tolerance, admission C-reactive protein (CRP) and Charlson Comorbidity Index (CCI) were trended with feeding adequacy. The Institutional Review Board approved the study. Result(s): A total of 343 patient records were analyzed with 203 patients in retrospective (R) and 140 patients in prospective groups (P). The post- MV feeding initiation time was shorter after implementing the feeding protocol (Mean 45.2 vs 33.8 hrs, and Interquartile Range (IQR) of Median (hrs) (18, 51) vs (16, 43) for the R and P groups, respectively (p = 0.04). Achievement of feeding goal rates were similar between groups (30.0 % vs 29.5%) (p >0.05). A prebiotic-containing formula was received in 36.2 % of patients in the R group versus 43.4 % in the P group. Providing a prebiotic formula had no impact on achieving goal nutrition in either period. In the R group, patients receiving the non-prebiotic formula had a higher total 7-days BM occurrence compared to the prebiotic formula group (8 vs 5.9 BMs/7 days, p = 0.03). In the P group there were no differences in the number of BMs between non-prebiotic and prebiotic formula groups (5.3 vs 5.0 BMs/7 days, p >0.05). Higher admission CRP and CCI values trended with higher incidence of inadequate feeding. Mean CCI was 4.42 and 4.17 for patients who received less than 25% goal feeding compared to those who received >80% of their goal feeds, respectively. Mean CRP was 12.3 and 11.4 for patients who received < 25% goal feeds compared to those who received >80% of goal feeds, respectively (p > 0.05). There were no differences in overall ICU length of stay between the R (11.7 days) and P (11.1 days) groups. (p = 0.34) Conclusion(s): EEN protocol implementation decreased time to EEN initiation in mechanically ventilated COVID-19 patients but did not affect patients in achieving goal nutrition in the first week of their ICU stay. Furthermore, COVID-19 patients tolerated EEN with prebiotic containing formulas. Further research is warranted to determine the impact of EEN with a prebiotic formula on the gut microbiome in critically ill MV patients with COVID-19.
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Aims: Telehealth became a patient necessity during the COVID pandemic and evolved into a patient preference in the post-COVID era. This study compared the % total body weight loss (%TBWL), HbA1c reduction, and resource utilization among patients with obesity and diabetes who participated in lifestyle interventions with or without telehealth. Method(s): A total of 150 patients with obesity and diabetes who were followed every 4-6 weeks either in-person (n = 83) or via telehealth (n = 67), were included. All patients were provided with an individualized nutritional plan that included a weight-based daily protein intake from protein supplements and food, an activity/sleep schedule-based meal times, and an aerobic exercise goal of a 2000-calorie burn/week, customized to patient's preferences, physical abilities, and comorbidities. The goal was to lose 10%TBWL. Telehealth-based follow-up required transmission via texting of weekly body composition measurements and any blood glucose levels below 100 mg/dl for medication adjustments. Weight, BMI, %TBWL, HbA1c (%), and medication effect score (MES) were compared. Patient no-show rates, number of visits, program duration, and drop-out rate were used to assess resource utilization based on cumulative staff and provider time spent (CSPTS), provider lost time (PLT) and patient spent time (PST). Result(s): Mean age was 47.2 +/- 10.6 years and 74.6% were women. Mean Body Mass Index (BMI) decreased from 44.1 +/- 7.7-39.7 +/- 6.7 kg/m2 (p < 0.0001). Mean program duration was 189.4 +/- 169.3 days. An HbA1c% unit decline of 1.3 +/- 1.5 was achieved with a 10.1 +/- 5.1%TBWL. Diabetes was cured in 16% (24/150) of patients. %TBWL was similar in regards to telehealth or in-person appointments (10.6% +/- 5.1 vs. 9.6% +/- 4.9, p = 0.14). Age, initial BMI, MES, %TBWL, and baseline HbA1c had a significant independent effect on HbA1c reduction (p < 0.0001). Program duration was longer for in-person follow-up (213.8 +/- 194 vs. 159.3 +/- 127, p = 0.019). The mean annual telehealth and in-person no-show rates were 2.7% and 11.2%, respectively (p < 0.0001). Mean number of visits (5.7 +/- 3.0 vs. 8.6 +/- 5.1) and drop-out rates (16.49% vs. 25.83%) were lower in telehealth group (p < 0.0001). The CSPTS (440.4 +/- 267.5 min vs. 200.6 +/- 110.8 min), PLT (28.9 +/- 17.5 min vs. 3.1 +/- 1.6 min), and PST (1033 +/- 628 min vs. 113.7 +/- 61.4 min) were significantly longer (p < 0.0001) for the in-person group. Conclusion(s): Telehealth offered comparable %TBWL and HbA1c decline as in-person follow-up, but with a shorter follow-up, fewer appointments, and no-shows. If improved resource utilization is validated by other studies, telehealth should become the standard of care for the management of obesity and diabetes.Copyright © 2023 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.
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Background: Physical activity has been shown to have a positive impact on cystic fibrosis (CF) symptoms and slows decline in lung function. Additionally, moderate-intensity activities have been shown to improve sputum expectoration and oxygen saturation in children with CF, improving symptoms [1]. This study assessed whether using fitness trackers and providing a daily step goal would increase physical activity in hospitalized children with CF. Method(s): This pre-post pilot study included participants aged 6 to 21 who were admitted to the hospital for a pulmonary exacerbation of CF between October 2020 and November 2021. Garmin vivosmart 4 wrist-based activity trackers were issued, and baseline datawere tracked and analyzed for the first 2 study days. Pre-goal number of steps was defined as average number of steps taken on those 2 days. On study day 3, a step goal and menu of activities designed to increase physical activity were shared with the participants. Steps after goal settingwere defined as average number of steps taken on study day 3 and beyond while hospitalized, excluding day of discharge. Data collected from the medical record and the activity tracker web-based profile included daily oxygen requirement, daily step count, sleep duration, overnight pulse oximetry levels, resting heart rate, calories expended, and intensity minutes. The primary outcome of change in daily steps and attainment of step goals was analyzed using descriptive statistical testing, means, and standard deviations. Outpatient data were collected for 3 months to observe adherence to goals after discharge. Result(s): Eight participants aged 6 to 18 completed the study. Hospital length of stay ranged from 4 to 14 days. Participants took an average of 1508 +/- 1078 steps before goal setting, which increased to an average of 3704 +/- 1555 steps after the intervention. Step goals were met 56% of the time, although these data were highly variable. During the first week after hospital discharge, participants took an average of 6303 +/- 1786 steps per day (Figure 1).(Figure Presented) Figure 1. During the intervention, patients met their step goal 56% of the time, although this was highly variable. Two patients met their goal 100% of the time (9- year-old boy, 7-year-old girl), two met it 0% of the time (18-year-old boy, 17-year-old girl), one met it 44% of the time (6-year-old boy), and the remaining three met it 67% of the time (10-year-old girl, 17-year-old girl, 14-year-old boy). Conclusion(s): This intervention shows promise, with daily number of steps doubling from baseline during the intervention period. There was great variability among participants, suggesting that the approach helps some more than others. Enrollment was initially planned for 20 patients, but the SARS-CoV-2 pandemic and changes to CF therapy reduced hospitalizations during the study period. Outpatient data were analyzed for only the first week after discharge because of poor adherence to wearing the device. Although our results showa positive impact, further research is needed to determine the effect such an intervention would have on a larger scale. Future directions of research include determining potential clinical benefit from increased activity during hospitalization and prolonged follow-up to assess long-term benefits of intervention.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved
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In this randomized, open-label, 2-part, 2 × 2 crossover, phase 1 study, the effect of a low-fat low-calorie (LFLC) meal on the relative bioavailability of a trametinib 2-mg tablet or dabrafenib 150-mg capsule was evaluated in healthy participants. Trametinib adjusted geometric mean ratios (90%CI) of fed : fasted for area under the concentration-time curve (AUC) from time 0 to the last quantifiable concentration and AUC from time 0 extrapolated to infinity were 0.76 (0.71-0.82) and 0.82 (0.77-0.88), respectively. For dabrafenib, the adjusted geometric mean ratios of AUC from time 0 to the last quantifiable concentration and AUC from time 0 extrapolated to infinity (90%CI) for fed:fasted were 0.85 (0.79-0.91) and 0.86 (0.80-0.92), respectively. Consumption of an LFLC meal delayed trametinib and dabrafenib absorption, with an increase in time to maximum concentration of ≈15 and ≈30 minutes, respectively, compared to the fasted state. These findings indicate that consumption of an LFLC meal reduced the bioavailability and delayed the absorption of trametinib and dabrafenib, supporting current recommendations to administer both drugs in the fasting state; however, an occasional LFLC meal is unlikely to affect the pharmacokinetics of the drugs once steady state is reached and, by consequence, not likely to alter the overall intended efficacy.
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Fasting , Humans , Biological Availability , Healthy VolunteersABSTRACT
Objective: To evaluate the pre-set features of smartphones and the inclusion of ADCES7 guidelines for Diabetes self-care during the COVID-19 era. Method(s): The pre-loaded applications of the iPhone 13 and Samsung S22 Ultra were tested with the ADCES7 parameters: 1) Healthy eating, 2) Being Active, 3) Monitoring, 4) Taking Medication, 5) Problem Solving, 6 )Healthy coping, 7) Reducing Risks. We evaluated the smartphones for the following subcategorties of the ADCES7 parameters: 1a) Nutrition, 1b) Calorie-counting;2a) Step-counting, 2b) Calorie-burning, 3a): Blood pressure, 3b) Blood glucose, 3c) HbA1c, 3d) Weight, 3e) Push notification, 4a) Med Log, 5a) Contact healthcare team, 5b) Contact family;6a) Mental health outreach, 7a) Goal-Setting, 7b) Graph analysis. We added additional categories 8) Insulin pumps and 9) Language. Result(s): 1. Nutrition facts= Apple(Yes), Samsung(No);2. Calorie counting= Apple(Yes), Samsung(Yes);3. Step counting= Apple(Yes), Samsung(Yes);4. Calorie Burning= Apple(No), Samsung(Yes);5. Monitoring BP= Apple(No). Samsung(Yes);6. Monitoring Blood Glucose= Apple(No), Samsung(Yes);7. Monitoring HbA1c= Apple(No), Samsung(Yes);8. Weight Monitoring= Apple(Yes), Samsung(Yes);9. Push Notifications and Med Reminders= Apple(Yes), Samsung(Yes);10. Goal setting= Apple(No), Samsung(Yes);11. Med Log= Apple(No), Samsung(Yes);12. Facetime, Samsung Video Call= Apple(Yes), Samsung(Yes);13. Healthy Coping= Apple(No), Samsung(No);14. Goal Setting for Steps= Apple(No), Samsung(Yes);15. Graph Analysis= Apple(Yes), Samsung(Yes);16. Insulin pumps= Apple(No), Samsung(No);17. Foreign languages= Apple(46), Samsung(187) Samsung provides more ADCES7 parameters and more language options than Apple. Conclusion(s): The smartphones have internal resources for patients to self-manage their Diabetes Mellitus. As MDs, we can continue to partner with our patients for diabetes management during COVID-19 and beyond.
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Purpose>This study puts forth a consumer-oriented concept of clean labels and attempts to empirically investigate consumer perceptions of these labels.Design/methodology/approach>A self-administered survey (n = 346) was used as the research instrument for data collection in the current study.Findings>Results from an online survey indicate that consumers perceived less processed, elimination of undesired ingredients and ethical concerns as salient attributes associated with clean labels. Consumer-perceived benefits of these attributes include healthiness, social responsibility, sensory appeal, reliable product and low calorie. Additionally, canonical correlation analysis yields two significant associations between clean label attributes and the corresponding benefits. Attributes of elimination of undesired ingredients and utilization of familiar elements drive the benefits of healthiness, low calorie and social responsibility. Attributes of being less processed and with simple ingredients are associated with the benefit of sensory appeal.Originality/value>This study systematically investigates the discrete clean halo effect by empirically examining the associations between the clean label attributes and the dimensionalities of benefits as perceived by consumers.
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Introduction: Concerns about health and fitness during lockdown may serve as a trigger for eating disorders in vulnerable individuals. Other risk factors may also include increased use of social networks and comparison with beauty ideals. Isolation, loneliness and problems with emotional regulation may lead people to reduce food intake by giving them a greater sense of control. Objective(s): Emphasise the relevance of the increase in the incidence of Eating Disorders (ED) cases during the pandemic. Method(s): Review of the scientific literature based on a relevant clinical case. Result(s): 14-year-old female, residing with her mother. She reports that from the beginning of COVID-19 confinement she became obsessed with leading a healthier life, starting to restrict food, limiting fats and carbohydrates, and having also started compulsive physical activity (approximately 4 hours of aerobic exercise per day), without associated purging behaviours. She also acknowledges eating small amounts (although she minimises this aspect) and controlling all calories, stating that food and practices aimed at "staying healthy" now dominate her life. Her previous BMI was 18, with a current BMI of 11.7. Conclusion(s): Patients suffering from ED, who often have poor knowledge of their illness and find social-emotional communication difficult, may delay seeking help. Studies suggest the relevance of identifying specific vulnerability factors among ED patients in confinement in order to develop preventive strategies and personalised treatment approaches.
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SESSION TITLE: Pneumothorax, Chylothorax, and Pleural Effusion Case Posters SESSION TYPE: Case Report Posters PRESENTED ON: 10/17/2022 12:15 pm - 01:15 pm INTRODUCTION: Chest tube placement is generally done to drain air (Pneumothorax) or fluid (Effusion or Hemothorax) from the pleural cavity. The incidence of complications related to such intervention varies between 1 to 6 percent (1), and includes but not limited to malposition, injuring chest wall structures, injuring intrathoracic structures, bleeding, and infection. In this case we present an unusual complication to surgical chest tube placement. CASE PRESENTATION: Our patient is a 59-year-old male, long term resident of a nursing facility with past medical history of alcohol use disorder in remission, alcoholic cirrhosis, seizure disorder, protein-calorie malnutrition and a recent COVID-19 infection. He presented with worsening shortness of breath and was admitted with acute hypoxemic respiratory failure. Initial CT scan showed fibrotic, reticular and cystic changes, traction bronchiectasis and diffuse bilateral ground glass opacities. He was admitted to the medical ICU;he was treated initially with broad spectrum antibiotics and diuresis with minimal response. Eventually steroid therapy was started for Covid related organizing pneumonia, and he improved. Later in his hospital state he developed bilateral small pneumothoraxes that enlarged overtime and a surgical chest tube was placed on the right side. Post procedure chest x ray showed that the tube was kinked, and the pneumothorax was still present. A follow up CT chest confirmed the presence of an extra-pleural hematoma with the tube kinked inside it. CT angiography of the chest was done and showed active extravasation of contrast into the extra-pleural space likely from the intercostal arterial branches. Interventional radiology took the patient to see if they could cauterize the bleeding vessel but they were unable to identify the source of bleeding. Thoracic surgery was also consulted and was planning to take the patient to the OR, remove the tube, evacuate the hematoma and control the bleeding. However, the patient opted against this. DISCUSSION: Extra-pleural hematoma is a rare complication of surgical chest tube placement. It is usually seen after blunt trauma or rib fracture, but can still occur after subclavian vein central line placement or chest tube placement. Bleeding is usually arterial in origin and treatment is often surgical. Radiological characteristics include biconvex shape and the extra-pleural fat sign (2,3,);hypodense rim medial to the hematoma due to the inward displacement of the extra-pleural fat by the hematoma. CONCLUSIONS: Chest tube placement remains a routine procedure that is done in emergency departments and hospital wards. Generally, a safe intervention but clinicians should be aware of the possible complications and their management including extra-pleural hematomas. Reference #1: Pleural procedures and thoracic ultrasound: British Thoracic Society pleural disease guideline 2010 Tom Havelock1, Richard Teoh2, Diane Laws3, Fergus Gleeson4 on behalf of the BTS Pleural Disease Guideline Group. Correspondence to Dr Tom Havelock, Wellcome Trust Clinical Research Facility, Southampton General Hospital, Southampton SO16 6YD, UK;t.havelock@soton.ac.uk Reference #2: Journal of Trauma and Injury 2017;30(4): 202-205. Published online: December 30, 2017 DOI: https://doi.org/10.20408/jti.2017.30.4.202 Traumatic Extrapleural Hematoma Mimicking Hemothorax Yong Seon Choi, M.D., Soon Jin Kim, M.D., Sang Woo Ryu, Seung Ku Kang Department of Thoracic and Cardiovascular Surgery, Mokpo Hankook Hospital, Mokpo, Korea Correspondence to: Soon Jin Kim, M.D., Department of Thoracic and Cardiovascular Surgery, Mokpo Hankook Hospital, 483 Yeongsan-ro, Mokpo 58643, Korea, Tel: +82-61-270-5574, Fax: +82-61-277-0199, E-mail : innocent-blood@hanmail.net Reference #3: The Journal of Emergency Medicine Volume 51, Issue 2, August 2016, Pages 159-163 Nonoperative Management of a Large Extrapleural Hematom after Blunt Chest Trauma LuisGorospe MD, María Ángeles Fernández-Méndez MD, AnaAyala-Carbonero MD, AlbertoCabañero-Sánchez MD, Gemma MaríaMuñoz-Molina MD, PhD DISCLOSURES: No relevant relationships by Ahmad Allaham No relevant relationships by Elyce Sheehan
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Purpose: Inflammatory bowel disease (IBD) is an autoimmune disease that consists of Crohn's Disease (CD) and ulcerative colitis (UC). IBD is thought to result from an environmental trigger, one of which could be diet, in a genetically susceptible host. Food insecurity is defined as limited or uncertain access to enough food. It is estimated that 1 in 7 children in the United States experience food insecurity which is estimated to be about 13 million children. This number has increased since the COVID pandemic to 1 in 4. Louisiana has one of the higher rates of food insecurity in the country with an estimate of over 249,000 children affected. Food insecurity is higher in African American and Hispanic households. Despite nutrition playing a significant role in IBD, there is limited data on food insecurity and IBD. Only one adult study identified that adult IBD patients had 69% higher odds of being food insecure compared to peers without IBD. The purpose of this study is to evaluate if pediatric patients with IBD are food insecure. Our hypothesis is that newly diagnosed pediatric IBD patients who are food insecure have worse clinical outcomes than those who are food secure 6 months after diagnosis. The primary aim will be to assess if food insecurity is associated with escalations in therapy within the first 6 months of diagnosis. Secondary aim of the study is to determine if food insecurity is associated with other clinical outcomes. Food access will also be evaluated to see if patients who are food insecure live in areas defined as a food desert, decrease access to nearby grocery stores, or food swamps, defined as adequate access to food but mostly higher calorie food options over healthy food options. Method(s): This is a prospective study of newly diagnosed pediatric IBD patients seen in the Louisiana State University Health Science Center Pediatric Gastroenterology Division at Children's Hospital New Orleans. Patients were screened for food insecurity using the United States Department of Agriculture's food insecurity screening and the American Academy of Pediatrics' Food Insecurity 2-Question Screen. Data was collected including escalations in medication, hospitalizations, surgeries, emergency room visits and nutritional data over the first 6 months of diagnosis. To determine diet quality, food journals were completed, or comprehensive diet recalls were performed then analyzed by a licensed dietitian. Result(s): There are currently 13 patients enrolled in this ongoing study. All patients have Crohn's Disease and receive maintenance therapy with TNF alpha antagonist (infliximab or biosimilar). Most patients are female (69%), Medicaid insurer (54%), with approximately half identifying as white race (46%) and half identifying as African American (46%). The average age at diagnosis was 14.4 years (+/- 2.7 years). Nine of the patients (69%) have no grocery stores within 1 mile of their home. Three patients lived in a food swamp (23%), 1 of which also had low food security. There was one patient who did not live in a food desert or food swamp but identified as having low food security. The average BMI was 19.4 and 3 had a BMI z-score less than -1 at diagnosis. Two parents were identified as having low food security and 2 patients screened positive for low food security. Only one survey matched low food security for both parent and child. For transportation, many traveled to appointments by automobile but were not owners of the automobile. At one month after diagnosis, there was 1 medication change due to the development of antibodies, 2 courses of oral steroids, 2 patients had an additional medication added (methotrexate for both), 3 hospitalizations, 1 surgery;however, none of the patients fit criteria for low food security. There were 2 emergency room visits, 1 of 2 were food insecure. Weight gain in one month ranged from 0.3 to 10.4 kilograms. One food insecure patient lost 0.8 kilograms at 1 month. Conclusion(s): While there were few patients identified as food insecure, each patient had relatively poor access to healthy food options. Every patient in the study either fell into the category of having no grocery stores within a mile of their home, living in a food swamp or having low food security. Establishment of additional surrogates for food insecurity may be warranted to better assess the association of food insecurity with IBD. The significance of food insecurity in pediatric IBD remains unclear. However, longer follow-up is planned to further assess the relationship between food insecurity and clinical and nutritional outcomes. Additional studies are forthcoming to evaluate the impact food quality within the diet of pediatric IBD patients has on short-term and long-term health outcomes.
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Introduction: Nutritional optimisation is recognised as having significant impact on clinical and functional outcomes of critically ill patients.1 Clinical recommendations suggest use of indirect calorimetry guided nutrition in the intensive care unit (ICU),2 and a recent systematic review demonstrated improved outcomes from its use.3 The COVID-19 pandemic has seen a greater proportion of patients with prolonged critical illness, a cohort for whom nutritional optimisation is a key unmet need.4 Objectives: To assess rates of over and underfeeding in a tertiary centre ICU and how these relate to markers of catabolism and persistent critical illness. Methods: Serial measurements of REE (resting energy expenditure) and RQ (respiratory quotient) by indirect calorimetry were performed using Q-NRG+ device (COSMED, Rome, Italy). Nutritional intake and estimations of requirements were recorded concurrently together with routine clinical observations, and markers of critical illness, catabolism and over or underfeeding. Results: Across 30 patients, REE was lower than estimated energy requirements, 24.2 (IQR 20.0-28.1) kcal/ day/kg IBW vs. 29.1(IQR 25.4-33.1) kcal/day/kg IBW, p<0.001. 41.8% of measurements showed overfeeding (actual calorie intake >110% of REE), and 23.3% showed underfeeding (actual calorie intake <85% of REE). Obese patients (n=15) were underfed (-98kcal/day deficit) compared to non-obese patients (n=15), who were on average overfed (+256kcal/day surplus), p=0.021. Overfeeding was also associated with greater length of ICU admission (R2 0.159, p<0.005). Median day of ICU admission in overfed patients was 39 days (IQR 24-56), and in underfed patients 21.5 (IQR 7.5-45.25). However, there was no significant association between calorie surplus or deficit, and other markers of overfeeding PaCO2, insulin use, ureacreatinine-ratio. Conclusion: This service evaluation recorded measurements of REE and RQ in critically ill patients with high lengths of ICU stay (up to 66 days). We observed increased rates of overfeeding with increased duration of ICU admission, and increased overfeeding in non-obese patients.
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The period of conception, pregnancy and the first 1000 days of life are crucial for a person's lifelong health. The recent rises in obesity before conception, through pregnancy and during childhood are increasing the risk of a non-communicable disease epidemic in the near future. Preventive measures targeted at the community level and implemented by local authorities may be the most effective way of creating healthy environments that improve lifelong health.
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Critically ill patients often face progressive and rapid losses of body and muscle mass due to hypermetabolism and increased protein catabolism. Certain population groups (such as obese patients or those requiring Continuous Renal Replacement Therapy (CRRT) require a higher protein provision as advised by both ASPEN1 and ESPEN2. Furthermore, critically ill patients often receive significant energy provision from non-nutritional sources such as propofol. As a consequence, calorie provision via enteral feed is commonly restricted to avoid overfeeding, and protein provision to the patient is further compromised. Retrospective data was collected for 58 patients who were either confirmed or suspected of COVID-19 and admitted to the Intensive Care Unit (ICU) during April 2020. 31% (n=18) of patients were unable to meet their protein requirements from the feed formula alone, based on initial dietetic assessment. Recommended protein requirements were not achieved in any patients who were obese (n=10;defined as BMI ≥30 kg/m2) or receiving CRRT (n=6). The maximum protein provision for obese patients was 1.5g/kg IBW and 1.6g/kg for patients receiving CRRT. The situation was exacerbated for patients receiving high dose propofol (defined as >10 ml/hr), where protein provision decreased to 0.8 – 1.2g/kg and 1.1 – 1.3g/kg respectively. [Formula presented] In the non-obese, non-CRRT ICU population, the available enteral feeding regimes were appropriate to meet the majority of patients’ protein requirements (as shown in Figure 1). However the review almost certainly overestimates protein provision, as percentage feed delivery was not assessed and the results assume 100% feed delivery. We know from previous audits on our unit that feed delivery is often <80% of target, and although this review was based on COVID-19 patients, the ‘typical’ patients in ICU often have specific nutrition requirements, which includes high protein. The challenges faced during COVID-19 has raised awareness of the importance of protein delivery in ICU and our review highlights the need to continually monitor and augment protein delivery in critically ill patients. The findings support the need for a high protein supplement in specific population groups;particularly those who may be obese, require CRRT or are receiving high dose propofol in an ICU setting. 1 McClave S A, Taylor B E, Martindale R G et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) J Parenter Enteral Nutr 2016;40(2): 159-211. 2 Singer P, Blaser A R, Berger M M et al. ESPEN Guideline on clinical nutrition in the intensive care unit Clin Nut 2019;38: 48-79
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The COVID-19 pandemic represented a substantial risk to the continued supply of compounded home parenteral nutrition (HPN) to patients with intestinal failure. NHS England requested that all patients receiving HPN have a contingency prescription that could be supplied if their homecare provider weren’t able to supply their compounded prescription. The formation of contingency prescriptions and subsequent communication of the plan to both the patients and those involved in their care, was a significant undertaking. Could technology aid in the formation of the contingency prescriptions, improve communication between members of the multidisciplinary team (MDT) and standardise the accompanying written administration plan? An existing spreadsheet developed in-house was used which contained all the commercially available multi-chamber bags (MCBs) and terminally sterilised fluids (TSFs) on the market. A deficits tab was added to the workbook that calculated the weekly differences between the patient’s usual compounded prescription and a proposed contingency prescription. Drop down menus auto populated the contents of the MCBs and TSFs into the spreadsheet. This tab was printed, reviewed by other members of the MDT and was risk-assessed. A tab was created which transferred the selected MCBs and TSFs onto a contingency template to send to homecare providers. This included custom instructions e.g. drug name, dose/volume, form, directions/frequency and total supply per week. Patient information was copied from the compounded formulation request and pasted into the contingency template. The template could then be exported to a separate document, allowing additions of line locks / other medication usually on the prescription. A further tab facilitated the production of a written administration plan for the contingency regimen. Patient information was auto populated from the order template, while drop down menus restricted the bags used to only those that had been selected on the deficits tab. Custom administration instructions were auto populated into the plan. A table showed how many of each bag per week are required, and this counted down as the written plan was populated. Once the written plan was populated, the spreadsheet calculated the number of each type of ancillaries required each week. A breakdown of daily calories and electrolytes supported the user in spreading the prescription as equally as possible across the week. Further alterations were made using an export function prior to sending to the patient and the homecare provider. The development of this spreadsheet has significantly improved the efficiency of the process for creating contingency prescriptions for patients on compounded HPN and produced a robust method for communicating the proposed regimen between members of the MDT. It has successfully standardised our wording on the contingency order templates and written administration plans whilst eliminating transcription errors.
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Patients transferred out of intensive care recovering from COVID-19 infection are at high risk of malnutrition1.Untreated malnutrition has the potential to increase length of stay and increase morbidity and mortality. To inform service planning we aimed to describe nutritional status and dietetic outcomes of patients recovering from COVID-19 infection post ICU admission. Baseline data was collected retrospectively from patient electronic records and included age, gender, comorbidities, weight, height, Body Mass Index (BMI), Vitamin D status, type of nutrition support, length of stay and discharge destination. Of 51 COVID-19 patients transferred out of ICU, 71% remained as inpatients and had further dietetic follow up. [Formula presented] Of those with data sets available, 82% had a decrease in weight during their ICU stay with an average loss of 7.6kg (9% body weight). Thirty percent moved into a lower BMI category over the course of their ICU stay. On discharge from hospital and dietetic service, 50% were weight stable and 29% had gained weight following dietetic input. Seventy two percent of patients required ongoing artificial nutrition support on transfer out of ICU. Prior to discharge home, 82% required advice on a high protein, high calorie diet with 25% of these requiring additional advice for therapeutic diets such as diabetic diets, no added salt diet, dietary advice for stoma management, renal dietary advice and modified consistency dietary advice. In terms of follow up, 11% were referred to community dietetics, 8% returned to dietetic outpatient clinics and 18% were stable on nutrition care plan and discharged from dietetic caseload at ward level. The data obtained highlights the deterioration in nutritional status and risk of malnutrition in this cohort of patients post COVID-19 infection. Ongoing nutrition support and dietetic input should be considered as integral on transfer from ICU to ward level in preventing, treating and diagnosing malnutrition. References 1. Bedock.D, Bel Lassen.P, Mathian.A, Moreau.P, Couffignal.J, Ciangura.C, Poitour-Bernert.C, Jeannin, AC, Mosbah.h, Fadlallahj, Amoura.Z, Oppert.JM, Faucher.P. Prevalence and severity of malnutrition in hospitalized COVID-19 patients. Clinical Nutrition ESPEN. 2020;Vol. 40 214-219 2. Haraj.NE, EL Aziz.S, Chadli. A, Dafir.A, Mjabber. A, Aissaoulo, Barrou.L, EL Kettanie EL Hamidi.C, Nsiri.A, AL Harrar.R, Ezzouine.H, Charra.B, Abdallaoui. Ms, EL Kebbaj.N, Kamal.N, Mohamed Bennouna.M, EL Filali.KM, Ramdani.B, EL Mdaghri.N, Benghanem Gharbim, Hicham Afif. Nutritional status assessment in patients with COVID-19 after discharge from intensive care unit. Clinical Nutrition ESPEN. 2020;2405-4577