Effectiveness of a COVID-19 Vaccine Rollout in a Highly Affected American Indian Community, San Carlos Apache Tribe, December 2020-February 2021.

COVID-19 has disproportionately affected American Indian Tribes, including the San Carlos Apache Tribe, which resides on 1.8 million acres in Arizona and has 16 788 official members. High vaccination rates among American Indian/Alaska Native people in the United States have been reported, but information on how individual Tribes achieved these high rates is scarce. We describe the COVID-19 epidemiology and vaccine rollout in the San Carlos Apache Tribe using data extracted from electronic health records from the San Carlos Apache Healthcare Corporation (SCAHC). By mid-December 2020, 19% of the San Carlos Apache population had received a positive reverse transcription polymerase chain reaction test for SARS-CoV-2, the virus that causes COVID-19. The Tribe prioritized for vaccination population groups with the highest risk for severe COVID-19 outcomes (eg, those aged ≥65 years, who had a 46% risk of hospitalization if infected vs 13% overall). SCAHC achieved high early COVID-19 vaccination rates in the San Carlos community relative to the state of Arizona (47.6 vs 25.2 doses per 100 population by February 27, 2021). These vaccination rates reflected several strategies that were implemented to achieve high COVID-19 vaccine access and uptake, including advance planning, departmental vaccine education sessions within SCAHC, radio and Facebook postings featuring Tribal leaders in the Apache language, and pop-up community vaccine clinics. The San Carlos Apache Tribe's vaccine rollout strategy was an early success story and may provide a model for future vaccination campaigns in other Tribal nations and rural communities in the United States.

Improvement of Inpatient Psychiatric Facility Quality Reporting program measure: Screening for metabolic disorders through pharmacy collaborative practice agreement.

BACKGROUND: Second-generation antipsychotics are associated with lower risks of extrapyramidal symptoms, including tardive dyskinesia. However, many second-generation antipsychotics are associated with metabolic adverse effects, including weight gain, impaired blood glucose control, and hyperlipidemia. Metabolic monitoring for patients prescribed antipsychotic medication is 1 of several measures of the Centers for Medicare & Medicaid Services' Inpatient Psychiatric Facility Quality Reporting program. Screening for metabolic disorders (SMD) must be obtained within the previous 365 days before the hospital discharge date. National data suggest that compliance with this measure is low. OBJECTIVE: To improve compliance of metabolic monitoring by 20% while ensuring that the quality improvement interventions did not cause any unintended adverse effects on other aspects of our system. PRACTICE DESCRIPTION: This quality initiative was conducted at a large, 2000-bed academic medical center with approximately 80 inpatient psychiatric beds. PRACTICE INNOVATION: To improve the metabolic screening rates, a pharmacist collaborative practice agreement (CPA) was established as part of a quality improvement project. Previously, there were no formal processes at the institution to ensure that appropriate laboratory tests were conducted. EVALUATION METHODS: Using an uncontrolled before-and-after design, SMD data were gathered from 6 months before and 6 months after CPA implementation. Pearson chi-square test or Fisher exact test were used to compare the pre- and postintervention groups in this quasi-experimental design. RESULTS: Compared with the preintervention period, compliance of SMD monitoring increased by 21.2% in the postintervention phase-from 69.2% to 90.4% (P < 0.001). CONCLUSION: The empowerment of clinical pharmacists with a CPA significantly improved guideline-concordant metabolic monitoring of antipsychotics. These findings may have significant impact on the approach to the safe use of these essential psychotropic medications and provide a framework for other inpatient mental health facilities to optimally use the skills of their interdisciplinary team.

Development and preliminary validation of a brief household food insecurity screening tool for paediatric health services in Australia.

Children from food insecure households are more likely to have substandard food and nutritional intakes, and experience developmental delays, behaviour issues and increased use of health services. In Australia, screening for household food insecurity (HFI) within health services is not undertaken routinely, limiting opportunities to optimise nutrition and healthcare. This research aimed to (a) identify the prevalence, potential determinants and outcomes of HFI among paediatric outpatients in two Queensland hospitals; and (b) identify questions suitable for screening households at risk of HFI. A cross-sectional survey collected data from caregivers of children attending paediatric appointments at two hospitals in Brisbane, Australia (n = 148). Sociodemographic, health and household-related characteristics were collected, and food security status was assessed using four HFI measures. Chi-square, independent t-tests, ANOVA and logistic regression explored associations between HFI and health-related characteristics. A potential HFI screener was identified based on the most frequently endorsed questions from any HFI measure, and its validity was assessed through calculation of sensitivity and specificity. Prevalence of HFI was 41%, with 16% experiencing very low food security. Households with a child of 'fair/poor' health had 5.59 times greater odds of being food insecure than being food secure, compared to households with a child of 'excellent/good' health (aOR 5.59, 95% CI: 1.3-23.5). HFI was also positively associated with household chaos (p = .006). A combination of two questions was identified as a possible screening tool, with a sensitivity of 96% and a specificity of 90%. This study demonstrated HFI may be highly prevalent in a paediatric outpatient population, which may result in difficulties in being able to follow nutrition prescriptions. A highly sensitive and specific two-question screening tool was identified and may assist practitioners in paediatric healthcare settings in identifying clients who are at risk of HFI.

A simple nutrition screening tool to identify nutritional deterioration in long stay paediatric inpatients: The paediatric nutrition rescreening tool (PNRT).

BACKGROUND AND AIMS: Children with extended hospital stays are at risk of nutritional deterioration making regular nutrition screening throughout their admission an integral part of the nutrition care pathway. The purpose of this study was to design and validate a simple, quick and universal weekly rescreening tool to identify hospital acquired nutritional deterioration during a child's hospital stay. METHODS: A prospective, longitudinal sample of children aged 0-16 years admitted to a paediatric tertiary hospital with a length of stay ≥7 days were included in the study. Agreement between nutritional deterioration markers of reduction in weight (kg), body mass index (kg/m2), energy intake (kcal/day) and protein intake (g/day) over a 7-day period and two proposed rescreening questions was determined using sensitivity, specificity, area under the curve and positive and negative predictive values. RESULTS: Sixty-one children were included in the study with 224 full 7-day datasets. The sensitivity and specificity of the rescreening question 'Has the child had reduced nutritional intake in the last 7 days' for identifying children with a ≥25% reduction in energy intake over the previous 7-day period were 61.9% (95% CI 41.1-82.7) and 82.2% (95% CI 76.9-87.5) respectively. The sensitivity of 'Has the child lost weight or had poor weight gain' at detecting weight loss was 71.4% (95% CI 54.7-88.2) and specificity 87.8% (95% CI 83.1-92.5). CONCLUSION: The paediatric nutrition rescreening questions provide a valid and simple tool to detect nutritional deterioration in long stay paediatric patients and should be an integral part of the nutrition care process.

Body composition, dietary intake and physical activity of young survivors of childhood cancer.

AIM: To describe the body composition, dietary intake and physical activity and of paediatric, adolescent and young adult childhood cancer survivors (CCS) and examine the factors that impact body composition after treatment. METHODS: This prospective cross-sectional study involved 74 subjects who were at least three years post treatment. Measurements included anthropometry, whole body potassium counting, air displacement plethysmography, and three day physical activity and diet diaries. RESULTS: The CCS had significantly reduced body cell mass index Z-scores compared to controls (p = 0.0001), with 59% considered undernourished. The CCS had a significantly higher percent fat (p = 0.002) than the controls, with 27% classified as obese. The intake of 60% of CCS met estimated energy requirements, but the CCS consumed high amount of energy from fat and low amount of energy from carbohydrates. A high percentage of CCS did not meet their dietary requirements for calcium (61%), magnesium (46%), folate (38%) and iodine (38%). The CCS group had a light active lifestyle with 64% spending more than 2 h daily on screen time. Receiving a bone marrow transplant (r = -0.27; p = 0.02) and physical activity level (r = 0.49; p = 0.0001) were significantly correlated with body cell mass index. CONCLUSIONS: This study demonstrates that increased fat mass and decreased body cell mass is a concern for CCS and that CCS have poor health behaviours including light active lifestyles, excessive screentime, high fat intake, and poor intake of essential nutrients. This study has highlighted that CCS are at risk of both obesity and undernutrition and that increasing body cell mass as well as decreasing fat mass should be a focus of energy balance interventions in survivorship. There is a need for parents and children undergoing treatment for cancer to be educated about diet quality and importance of daily physical activity to ensure healthy habits are established and maintained into survivorship.

Opinions and practices of healthcare professionals on assessment of disease associated malnutrition in children: Results from an international survey.

BACKGROUND & AIMS: Lack of consensus on clinical indicators for the assessment of pediatric disease associated malnutrition (DAM) may explain its under-recognition in clinical practice. This study surveyed the opinions of health professionals (HP) on clinical indicators of DAM and barriers impeding routine nutritional screening in children. METHODS: Web-based questionnaire survey (April 2013-August 2015) in Australia, Belgium, Israel, Spain, The Netherlands, Turkey and UK. RESULTS: There were 937 questionnaires returned via local professional associations, of which 693 respondents fulfilled the inclusion criteria and were included in the final analysis; 315 pediatric gastroenterologists and 378 pediatric dieticians. The most important clinical indicators of DAM were ongoing weight loss (80.4%), increased energy/nutrient losses (73.0%), suboptimal energy/macronutrient intake (68.6%), a high nutritional risk condition (67.2%) and increased energy/nutrient requirements (66.2%). These findings were consistent across countries and professions. The most common approach to screen for DAM was assessment of weight changes (85%), followed by the usage of growth charts (77-80%). Common perceived barriers for routine nutritional screening/assessment were low staff awareness (47.5%), no local policy or guidelines (33.4%) and lack of time to screen (33.4%). CONCLUSIONS: HP who routinely assess and treat children with DAM identified ongoing weight loss, increased losses, increased requirements, low intake and high nutritional risk conditions as the most important clinical indicators of DAM. These clinical indicators should now serve as a basis to form clinical-based criteria for the identification of DAM in routine clinical practice. Low awareness, lack of guidelines or local policy and lack of resources were the most important barriers of routine screening.

Nutritional Assessment and Status of Hospitalized Infants.

OBJECTIVES: Malnutrition during infancy has long-term adverse consequences for both physical and psychological development. Early detection of malnutrition among hospitalized infants is essential to provide optimal nutrition support. The primary aim of the present study was to investigate the nutritional status of hospitalized infants using 2 methods: the Subjective Global Nutritional Assessment (SGNA) and anthropometric measurement. We also investigated diagnostic category associated with nutritional status, the mean anthropometric z scores, and explored the association between malnutrition and nutrition focused variables. METHODS: Nutritional status of 110 hospitalized infants ages 31 days to 12 months was investigated using the SGNA and anthropometric measurements converted to z scores. RESULTS: Utilizing the SGNA, 78 (70.9%) infants were classified as having normal nutritional status, 30 (27.3%) were moderately malnourished, and 2 (1.8%) were severely malnourished. The proportion of infants with acute malnutrition (weight-for-length z score <-2) was 16.4%, and chronic malnutrition (length-for-age z score <-2) was 3.6%. The mean anthropometric z scores of infants were significantly lower in infants identified as moderately and severely malnourished using the SGNA. Decrease in serial weight (odds ratio [OR] 44.4; 95% confidence interval [CI]: 4.3-451.5), having prolonged gastrointestinal symptoms (OR 18.8; 95% CI: 1.5-234.7), and reduced nutrition-related functional capacity (OR 27.6; 95% CI 2.5-301.7) were associated with malnutrition after adjusting for sex, age, and length of hospital stay. CONCLUSIONS: Regardless of the method applied, cases of malnutrition amongst hospitalized infants were identified. The SGNA is a comprehensive approach to identifying malnutrition in hospitalized infants.

Nutritional status of children with clinical conditions.

BACKGROUND & AIMS: Nutritional status is an important consideration in many pediatric clinical conditions. This paper aimed to examine and compare the nutritional status, represented by body cell mass (BCM), of children with cancer, Crohn's disease (CD), cystic fibrosis (CF) and anorexia nervosa (AN). METHODS: Anthropometry was measured and BCM was calculated from whole body potassium-40 counting in 259 children being treated for clinical conditions (n = 66 cancer; n = 59 AN; n = 75 CF; n = 59 CD) and 108 healthy children. BCM was adjusted for height (BCMI) and expressed as a Z-score relative to laboratory reference data. RESULTS: The CD (-0.80 ± 1.61; p = 0.0001) and AN (-1.13 ± 0.99; p = 0.0001) groups had significantly lower BMI Z-score than the healthy control (0.13 ± 0.75), cancer (0.50 ± 1.40) and CF groups (-0.09 ± 0.95). The cancer (-1.16 ± 1.60; p = 0.0001), CD (-1.13 ± 1.36; p = 0.0001) and AN (-0.97 ± 1.18; p = 0.0001) groups had significantly reduced BCM compared to the healthy control (0.07 ± 0.93) and CF group (0.31 ± 1.08). According to BCMI Z-score, 42.4% of patients with cancer, 41.7% of the patients with CD, 27.1% of patients with AN, and 4.0% of patients with CF were considered malnourished. CONCLUSIONS: This study demonstrates that children undergoing treatment for clinical conditions may have alterations in BCM, independent of BMI. Children with cancer, CD and AN all had a high prevalence of malnutrition. Assessment of body composition, not just body size, is vital to understand nutritional status in children with clinical conditions.

Exploring Motivations, Awareness of Side Effects, and Attitudes among Potential Egg Donors.

This research study surveyed prospective egg donors at orientation to (a) understand women's motivations to donate eggs, (b) assess awareness and knowledge of egg donation prior to entry into the egg donation program, and (c) explore attitudes toward egg donation. Ninety-two women completed the questionnaire at one fertility clinic located in the Midwest between August 2011 and August 2012. Descriptive and inferential statistics as well as textual analysis were used to analyze the data. Three themes emerged regarding participant motivations: (1) altruistic, (2) financial, and (3) desire to pass on genetic material. The majority of participants were unconcerned with potential physical and psychological side effects; however, differences emerged based on motherhood status and educational level. Although potential donors felt recipients should receive some information about the donor, they tended to value privacy regarding information giving to resultant offspring. This research study has implications for social work practice, policy, and future research. It is crucial that women receive adequate procedural and side effect information prior to engaging in egg donation.

Simple Nutrition Screening Tool for Pediatric Inpatients.

BACKGROUND: Pediatric nutrition risk screening tools are not routinely implemented throughout many hospitals, despite prevalence studies demonstrating malnutrition is common in hospitalized children. Existing tools lack the simplicity of those used to assess nutrition risk in the adult population. This study reports the accuracy of a new, quick, and simple pediatric nutrition screening tool (PNST) designed to be used for pediatric inpatients. MATERIALS AND METHODS: The pediatric Subjective Global Nutrition Assessment (SGNA) and anthropometric measures were used to develop and assess the validity of 4 simple nutrition screening questions comprising the PNST. Participants were pediatric inpatients in 2 tertiary pediatric hospitals and 1 regional hospital. RESULTS: Two affirmative answers to the PNST questions were found to maximize the specificity and sensitivity to the pediatric SGNA and body mass index (BMI) z scores for malnutrition in 295 patients. The PNST identified 37.6% of patients as being at nutrition risk, whereas the pediatric SGNA identified 34.2%. The sensitivity and specificity of the PNST compared with the pediatric SGNA were 77.8% and 82.1%, respectively. The sensitivity of the PNST at detecting patients with a BMI z score of less than -2 was 89.3%, and the specificity was 66.2%. Both the PNST and pediatric SGNA were relatively poor at detecting patients who were stunted or overweight, with the sensitivity and specificity being less than 69%. CONCLUSION: The PNST provides a sensitive, valid, and simpler alternative to existing pediatric nutrition screening tools such as Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), Screening Tool Risk on Nutritional status and Growth (STRONGkids), and Paediatric Yorkhill Malnutrition Score (PYMS) to ensure the early detection of hospitalized children at nutrition risk.

Evaluation of the nutrition screening tool for childhood cancer (SCAN).

BACKGROUND & AIMS: Malnutrition is a serious concern for children with cancer and nutrition screening may offer a simple alternative to nutrition assessment for identifying children with cancer who are at risk of malnutrition. The present paper aimed to evaluate the nutrition screening tool for childhood cancer (SCAN). METHODS: SCAN was developed after an extensive review of currently available tools and published screening recommendation, consideration of pediatric oncology nutrition guidelines, piloting questions, and consulting with members of International Pediatric Oncology Nutrition Group. In Study 1, the accuracy and validity of SCAN against pediatric subjective global nutrition assessment (pediatric SGNA) was determined. In Study 2, subjects were classified as 'at risk of malnutrition' and 'not at risk of malnutrition' according to SCAN and measures of height, weight, body mass index (BMI) and body composition were compared between the groups. RESULTS: The validation of SCAN against pediatric SGNA showed SCAN had 'excellent' accuracy (0.90, 95% CI 0.78-1.00; p < 0.001), 100% sensitivity, 39% specificity, 56% positive predictive value and 100% negative predictive value. When subjects in Study 2 were classified into 'at risk of malnutrition' and 'not at risk of malnutrition' according to SCAN, the 'at risk of malnutrition' group had significantly lower values for weight Z score (p = 0.001), BMI Z score (p = 0.001) and fat mass index (FMI) (p = 0.04), than the 'not at risk of malnutrition' group. CONCLUSIONS: This study shows that SCAN is a simple, quick and valid tool which can be used to identify children with cancer who are at risk of malnutrition.

Body composition of children with cancer during treatment and in survivorship.

BACKGROUND: Malnutrition as assessed with the use of body-composition measurements is a poorly understood short- and long-term complication of childhood cancer. OBJECTIVES: We aimed to evaluate the body composition of 2 childhood cancer cohorts as follows: 1) children currently undergoing cancer treatment and 2) childhood cancer survivors. We also aimed to compare the prevalence of obesity and undernutrition between the cancer groups and investigate the impact of cancer type on body composition. DESIGN: Eighty-two children during the treatment of cancer and 53 childhood cancer survivors were involved in the study. Height, weight, body cell mass, percentage of fat, fat mass index, and fat-free mass index were assessed. Subjects were compared with age- and sex-matched healthy controls. RESULTS: The on-treatment group had a higher percentage of fat (P = 0.0001) and fat mass index (P = 0.0001) and a significantly lower body cell mass index (P = 0.0001) and fat-free mass index (P = 0.003) than did matched controls. The survivor group had a significantly higher percentage of fat (P = 0.03) and fat mass index (P = 0.04) and significantly lower body cell mass index (P = 0.0001) than did matched controls. The prevalence of undernutrition was high in both groups with 48% (95% CI: 36%, 60%) of the on-treatment group and 53% (95% CI: 40%, 66%) of the survivors considered undernourished. According to the percentage of fat cutoffs, significantly more on-treatment patients were obese (55%; 95% CI: 40%, 60%) than were survivors (26%; 95% CI: 14%, 38%) (P = 0.005). There were no statistically significant differences in body composition between cancer types in either the on-treatment or the survivor group. CONCLUSIONS: Overnutrition and undernutrition are major concerns in the short and long term for children with cancer. Children treated for cancer have increased fat mass and decreased body cell mass, which are evident during treatment and in survivorship. This trial was registered at http://www.ANZCTR.org.au as ACTRN12614001279617 and ACTRN12614001269628.

Prevalence of malnutrition, obesity and nutritional risk of Australian paediatric inpatients: a national one-day snapshot.

AIM: Low prevalence rates of malnutrition at 2.5% to 4% have previously been reported in two tertiary paediatric Australian hospitals. The current study is the first to measure the prevalence of malnutrition, obesity and nutritional risk of paediatric inpatients in multiple hospitals throughout Australia. METHODS: Malnutrition, obesity and nutritional risk prevalence were investigated in 832 and 570 paediatric inpatients, respectively, in eight tertiary paediatric hospitals and eight regional hospitals across Australia on a single day. Malnutrition and obesity prevalence was determined using z-scores and body mass index (BMI) percentiles. High nutritional risk was determined as a Paediatric Yorkhill Malnutrition Score of 2 or more. RESULTS: The prevalence rates of malnourished, wasted, stunted, overweight and obese paediatric patients were 15%, 13.8%, 11.9%, 8.8% and 9.9%, respectively. Patients who identified as Aboriginal and Torres Strait Islander were more likely to have lower height-for-age z-scores (P < 0.01); however, BMI and weight-for-age z-scores were not significantly different. Children who were younger, from regional hospitals or with a primary diagnosis of cardiac disease or cystic fibrosis had significantly lower anthropometric z-scores (P = 0.05). Forty-four per cent of patients were identified as at high nutritional risk and requiring further nutritional assessment. CONCLUSIONS: The prevalence of malnutrition and nutritional risk of Australian paediatric inpatients on a given day was much higher when compared with the healthy population. In contrast, the proportion of overweight and obese patients was less.

Correlation between nutrition assessment data and percent body fat via plethysmography in pediatric oncology patients.

BACKGROUND: Routine nutrition assessment is a core part of the nutrition management of the pediatric oncology population. The aims of this study were to build on the findings of a previous study to investigate the relationship between nutrition assessment variables and percent body fat (%BF) and to produce an equation to predict %BF in the pediatric oncology population. METHODS: The nutrition status assessment criteria for comparison with %BF measures were adapted with permission from the St Jude Children's Research Hospital nutrition screening system, Department of Clinical Nutrition. Additional measures not part of the screening system included midarm circumference (MAC); triceps, biceps, suprailiac, and subscapular skinfolds; and arm fat area. %BF was determined via air displacement plethysmography and interpreted via percentiles derived from body fat reference curves for healthy children. RESULTS: Forty-two children, 22 males and 20 females, participated in the study. Correlational analysis revealed significant correlations with %BF and weight and body mass index z scores, percentage of ideal body weight (%IBW), MAC, skinfolds, arm fat area, and the total nutrition screening score. No relationship was found between height z score, percentage of weight loss over the previous 1 month, serum albumin, diagnosis risk, oral intake, and impending therapy or treatment side effects. Regression analysis found %BF = (1.4 × Biceps Skinfolds (mm) + (0.16 × %IBW) - 1 to have the strongest correlation (r(2) = 0.74). CONCLUSIONS: The equation presented here requires validation to estimate %BF in the pediatric oncology population.

Body composition of children with cancer.

BACKGROUND: Nutritional status, as represented by body composition, is an important consideration in the treatment of pediatric cancer patients because it is linked to poor outcomes. Little is known about how a child's body composition responds to cancer and treatment. OBJECTIVES: We aimed to compare the body composition of children undergoing treatment of cancer with that of healthy controls and to compare body composition between children with hematologic malignancies and children with solid tumors. DESIGN: This cross-sectional study measured height, weight, body cell mass, fat-free mass, and fat mass in 48 children undergoing treatment of cancer and blood-related disorders and in age-matched healthy controls. RESULTS: Patients with cancer had a significantly lower body cell mass index z score (body cell mass/height raised to the power of 2.5 for females and 3 for males) than did controls (P = 0.0001), and 45% of the patients with cancer were considered malnourished according to body cell mass. Subjects with cancer had a significantly higher percentage of body fat (P = 0.0001) and fat mass (P = 0.0001) than did controls; however, there was no significant difference in fat-free mass (P = 0.09). On the basis of percentage fat, 77% of subjects with cancer were considered obese. No difference in body composition was observed between cancer types. CONCLUSIONS: This study showed that children undergoing treatment of all types of cancer have a significantly lower body cell mass and a significantly higher fat mass than do healthy controls. Nutritional support is suggested for all children undergoing treatment of cancer.

The validity of simple methods to detect poor nutritional status in paediatric oncology patients.

Poor nutritional status is a major concern for children being treated for an oncology condition. It is vital for optimal prognosis that nutritional concerns are recognised and treated promptly. The majority of oncology treatment centres only use simple methods to screen for poor nutritional status; however, it is unknown whether these simple methods accurately recognise poor nutritional status. We aimed to determine whether commonly used simple nutritional assessment variables could accurately identify poor nutritional status in children being treated for oncological conditions. This cross-sectional study measured height, weight, mid-upper arm circumference, triceps skinfold, albumin levels and body cell mass in forty children being treated for an oncological condition. To determine whether commonly used nutritional variables were suitable determinants, the variables were compared against the reference measure of body cell mass index (BCMI) Z-scores. Using the BCMI Z-score cut-off of - 1.65, 48 % of the study population were considered poorly nourished. Correlational analysis showed that there was no significant biological relationship between the BCMI Z-score and the simple parameters. When divided into two groups based on the nutritional status indicated by the BCMI Z-score, the independent t tests between the well-nourished and malnourished groups demonstrated that there was a significant difference in the BMI Z-score (P = 0.01) between the groups. No simple nutritional measures were found to accurately identify poor nutritional status in children being treated for oncological conditions.

Validation of percent body fat indicators in pediatric oncology nutrition assessment.

BACKGROUND: Given the high prevalence of malnutrition and potential impact nutritional status can have on a child undergoing treatment for cancer, it is vital that oncology centers regularly assess nutritional status. It is important that simple noninvasive anthropometric nutrition assessment measures correlate to more accurate body composition measures. OBJECTIVES: The aim of this study was to determine the relationship between anthropometric measures and percent body fat determined via air displacement plethysmography in the children being treated in a pediatric oncology and hematology department. DESIGN: This cross-sectional study measured height, weight, percent ideal body weight (%IBW), mid arm circumference, triceps skinfolds, and mid upper arm fat area in 23 children. These anthropometric variables were compared against the reference measure of percent body fat via air displacement plethysmography. RESULTS: Correlational analysis and general linear models showed that there was a significant statistical relationship between percent body fat and body mass index Z score, %IBW, mid arm circumference, triceps skinfolds, and arm fat area. CONCLUSIONS: Simple anthropometric measurements of %IBW and triceps skinfolds are good indicators of percent body fat and should be incorporated into regular nutrition assessment of the pediatric oncology patient.

Enteral nutrition and bone marrow transplantation.

This retrospective study evaluated the efficacy of enteral nutrition for pediatric patients undergoing the challenging treatment of allogeneic bone marrow transplantation. During the period from January 1999 to May 2000, 15 patients were transplant recipients. On admission to the hospital, 87% of patients were above the 50th percentile for weight for age. Nasogastric tubes were inserted while platelet counts remained greater than 50 x 10(9) mL/L. A specialized elemental formula for pediatric patients was commenced. These feeds were administered continuously and were titrated until caloric requirement or tolerance level had been achieved. During hospitalization for bone marrow transplantation, enteral nutrition was the major form of nutritional support for all patients. Enteral feeds continued even during maximal gut toxicity and were supported with antiemetics and analgesia. There were insignificant weight fluctuations during hospitalization, with 80% of children above the 50th percentile weight for age being discharged. Enteral nutrition via a nasogastric tube was effective in the provision of nutrition during bone marrow transplantation and continues to have an important role in this unit.